{"meta":{"query_hash":"4c9f8a23b024","filters":{"topic":"Advanced Battery Technologies Research"},"cohort_total":1986,"direct_labels_cover":1,"predictions_cover":1986,"exported":1986,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/4c9f8a23b024","api":"https://metacan.xera.ac/api/v1/cohort?topic=Advanced+Battery+Technologies+Research"},"results":[{"id":"W13424792","doi":"10.1176/appi.psychotherapy.1957.11.2.277","title":"Modular Power System: Enabling Scalable Missions for the 1W to 1kW Range","year":2013,"lang":"en","type":"article","venue":"American Journal of Psychotherapy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Modular design; Avionics; Scalability; Computer science; Software deployment; Interface (matter); Ranging; Spacecraft; Embedded system; Backplane; Electric power system; Engineering; Power (physics); Systems engineering; Aerospace engineering; Electrical engineering; Telecommunications; Operating system","score_opus":0.013777465611338519,"score_gpt":0.2884787189196303,"score_spread":0.27470125330829176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W13424792","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24773552,0.002728286,0.56588155,0.001256243,0.00034613404,0.00069576374,0.0017822203,0.03412302,0.14545126],"genre_scores_gemma":[0.868889,0.0015219159,0.094340704,0.00026368359,0.00016804233,0.000224676,0.0018976041,0.001010575,0.03168377],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998179,0.000020167645,0.0000055944697,0.000030043657,0.000086434055,0.000039923485],"domain_scores_gemma":[0.99988675,0.000013962409,0.000013009409,0.000024518655,0.000035872923,0.000025916748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000222846,0.00051185425,0.0001880594,0.00044584932,0.00026616507,0.00062388845,0.0005793776,0.00024093305,0.008639595],"category_scores_gemma":[0.00039661583,0.00018937133,0.00017669964,0.00036929027,0.00026316682,0.0012771672,0.0010148165,0.0004794814,0.002462892],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047956352,0.00011522466,0.0051491577,0.0008000893,0.00007151127,0.0007805132,0.0010148579,0.026234975,0.27102983,0.030475145,0.05131856,0.6125306],"study_design_scores_gemma":[0.00022787266,0.0012845279,0.021009482,0.00023539642,0.00009537016,0.0019706758,0.0004097259,0.10818294,0.1460353,0.014373948,0.7060029,0.0001718594],"about_ca_topic_score_codex":0.0020632679,"about_ca_topic_score_gemma":0.0035877766,"teacher_disagreement_score":0.008639595,"about_ca_system_score_codex":0.00046211263,"about_ca_system_score_gemma":0.00039716292,"threshold_uncertainty_score":0.028902352},"labels":[],"label_agreement":null},{"id":"W1482423444","doi":"10.1109/intlec.1994.396644","title":"Evaluation of conductance and impedance testing on VRLA batteries for the Stenter Operating Companies","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Conductance; Electrical impedance; Set (abstract data type); Cutoff; Focused Impedance Measurement; Computer science; Variance (accounting); Lead–acid battery; Reliability engineering; Statistics; Electrical engineering; Mathematics; Engineering; Battery (electricity); Physics; Thermodynamics","score_opus":0.16609115999183943,"score_gpt":0.33211189753722037,"score_spread":0.16602073754538094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1482423444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97587776,0.0002511981,0.017014375,0.00019779669,0.00006838161,0.00014122605,0.00034511377,0.00041189432,0.005692222],"genre_scores_gemma":[0.99261755,0.00010483729,0.0052343938,0.0000350946,0.000015084674,0.000032515814,0.00024096886,0.00003441072,0.0016852494],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9957866,0.0015731606,0.00034274798,0.0002452885,0.0019317681,0.00012055211],"domain_scores_gemma":[0.9895154,0.005457318,0.0007951395,0.0006910427,0.0032624993,0.00027850454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023042744,0.00046801966,0.00036566422,0.0019603632,0.0003668654,0.00084808405,0.0008044085,0.00052081456,0.002008966],"category_scores_gemma":[0.017614387,0.00013701884,0.00030190192,0.0009826958,0.00041537677,0.0012368467,0.0006990683,0.0002550047,0.0007671648],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027058555,0.00085735804,0.36222062,0.0007049725,0.00015194774,0.0017139241,0.0054089273,0.011643629,0.18972252,0.0020633452,0.0031779574,0.41962907],"study_design_scores_gemma":[0.00020023528,0.01964361,0.5979527,0.00023868316,0.00031764066,0.004509281,0.0077313622,0.0582776,0.29487905,0.0027584876,0.013121608,0.00036978722],"about_ca_topic_score_codex":0.0011171539,"about_ca_topic_score_gemma":0.0021355322,"teacher_disagreement_score":0.0023042744,"about_ca_system_score_codex":0.0004225931,"about_ca_system_score_gemma":0.0002812886,"threshold_uncertainty_score":0.012186289},"labels":[],"label_agreement":null},{"id":"W1485286033","doi":"10.1002/047134608x.w8191","title":"Hybrid and Plug‐In Hybrid Electric Vehicles","year":2013,"lang":"en","type":"other","venue":"Wiley Encyclopedia of Electrical and Electronics Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Plug-in; Automotive industry; Automotive engineering; Hybrid vehicle; Electricity; Hybrid power; Hybrid system; Automotive engine; Electric vehicle; Green vehicle; Engineering; Computer science; Fuel efficiency; Electrical engineering; Power (physics)","score_opus":0.003838939364439969,"score_gpt":0.19617611646154595,"score_spread":0.192337177097106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1485286033","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07342717,0.056310672,0.31604442,0.0016826366,0.0019089432,0.00026121587,0.0007468463,0.001840544,0.54777753],"genre_scores_gemma":[0.7392152,0.033402935,0.046153944,0.00053777633,0.00054463046,0.00014168228,0.0010662737,0.00015425839,0.17878336],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99985826,0.000018689205,0.000007338109,0.000023937735,0.000075219155,0.000016538372],"domain_scores_gemma":[0.9999145,0.000019445324,0.000009755992,0.000008487243,0.00003884989,0.000008907236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000116958036,0.0003608738,0.00017671565,0.0006482753,0.00022784097,0.0011906645,0.00042577152,0.00046099946,0.0056572626],"category_scores_gemma":[0.0001704536,0.00010980576,0.00021150892,0.0005578742,0.00035540995,0.0011900329,0.00063451665,0.0003824831,0.0014712225],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002586097,0.000155505,0.0018842834,0.0013993147,0.000053578406,0.00082978077,0.0002115154,0.021267828,0.039336685,0.17221947,0.026563345,0.73581994],"study_design_scores_gemma":[0.000028332184,0.0003801196,0.0027021384,0.00035829603,0.000052991843,0.0020928332,0.00040484843,0.05610795,0.038970854,0.06339677,0.8354307,0.00007428198],"about_ca_topic_score_codex":0.00084670563,"about_ca_topic_score_gemma":0.0009383024,"teacher_disagreement_score":0.0056572626,"about_ca_system_score_codex":0.00032798055,"about_ca_system_score_gemma":0.00023496729,"threshold_uncertainty_score":0.018925428},"labels":[],"label_agreement":null},{"id":"W1489377111","doi":"10.1109/intlec.1990.171297","title":"Photovoltaics and cycling diesels produce reliable efficient power","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Energy","funders":"","keywords":"Photovoltaics; Sizing; Automotive engineering; Diesel generator; Battery (electricity); Photovoltaic system; Reliability engineering; Electric power system; Computer science; Power (physics); Electrical engineering; Diesel fuel; Engineering","score_opus":0.016152648228280317,"score_gpt":0.23103736463816604,"score_spread":0.2148847164098857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1489377111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4657826,0.0127385,0.27017114,0.0013136333,0.0011304487,0.00034275037,0.0021877245,0.004873405,0.24145983],"genre_scores_gemma":[0.8778138,0.0020907468,0.03158809,0.0002167442,0.00010714186,0.00007029202,0.0011979602,0.0002896118,0.086625576],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996996,0.000020535115,0.000012280521,0.000061971135,0.00017735353,0.000028383925],"domain_scores_gemma":[0.9997528,0.00006017776,0.000030389476,0.00005303775,0.00007897268,0.000024526244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021078897,0.00030299218,0.0002739227,0.00060198305,0.0002734658,0.0008433022,0.0005457714,0.00041963128,0.012623547],"category_scores_gemma":[0.0006037911,0.00019049631,0.00020242743,0.0007360627,0.0003642397,0.00064486795,0.00045845707,0.0003526996,0.0037900296],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004559215,0.00015021539,0.0030943318,0.00073383714,0.00006124615,0.0004484654,0.00014075731,0.005943939,0.38967595,0.016795024,0.014216534,0.56828386],"study_design_scores_gemma":[0.00013678805,0.0007518648,0.0048169345,0.00006913324,0.00004543339,0.0019387603,0.00014579213,0.013108918,0.750521,0.011553772,0.21685839,0.000053184533],"about_ca_topic_score_codex":0.00032876476,"about_ca_topic_score_gemma":0.0013371494,"teacher_disagreement_score":0.012623547,"about_ca_system_score_codex":0.00027845276,"about_ca_system_score_gemma":0.00020400327,"threshold_uncertainty_score":0.04222995},"labels":[],"label_agreement":null},{"id":"W1504546283","doi":"10.1109/iecon.2014.7048777","title":"Control strategy for improving the power flow between home integrated photovoltaic system, plug-in hybrid electric vehicle and distribution network","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; École de Technologie Supérieure","funders":"","keywords":"Uninterruptible power supply; Photovoltaic system; AC power; Maximum power point tracking; Electric vehicle; Engineering; Automotive engineering; Power factor; Electric power system; Computer science; Power (physics); Electrical engineering; Inverter; Voltage","score_opus":0.007391243192512958,"score_gpt":0.21690360598508454,"score_spread":0.20951236279257157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1504546283","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04285346,0.00074437406,0.9338926,0.00019712064,0.00015152009,0.00019550476,0.00004616846,0.0009920194,0.020927142],"genre_scores_gemma":[0.96533895,0.0003671878,0.027952392,0.000060404516,0.00006571722,0.0001247341,0.00006174197,0.000029764782,0.005999246],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998716,0.000018403949,0.0000074579334,0.000038430946,0.000049206075,0.000014814484],"domain_scores_gemma":[0.99991274,0.000016231319,0.000018584824,0.0000047537123,0.000041887502,0.0000057884818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019844003,0.0004953029,0.00024683835,0.00035719379,0.0003828999,0.0007857288,0.00046909455,0.0002734603,0.002622688],"category_scores_gemma":[0.0002954874,0.000091722606,0.00017225032,0.00022960956,0.0001742485,0.0003755843,0.0002952047,0.00028117708,0.00029902477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035548498,0.00037250886,0.0021385448,0.000611356,0.000099456025,0.00038087452,0.0004634091,0.321628,0.08177866,0.02435364,0.0072627566,0.5605554],"study_design_scores_gemma":[0.000076342534,0.00045988924,0.0015957599,0.00004887726,0.00008355341,0.00016059667,0.00010439874,0.9658116,0.017361974,0.0039921207,0.010284643,0.000020156429],"about_ca_topic_score_codex":0.002598826,"about_ca_topic_score_gemma":0.003036846,"teacher_disagreement_score":0.002622688,"about_ca_system_score_codex":0.00037660752,"about_ca_system_score_gemma":0.0003514344,"threshold_uncertainty_score":0.008773804},"labels":[],"label_agreement":null},{"id":"W1518437119","doi":"10.1007/978-3-319-48248-4_174","title":"Calcined Petroleum Coke Density Separation Process: Solution to Maintain Anode Quality with Degrading Coke Density","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Rio Tinto (Canada)","funders":"","keywords":"Petroleum coke; Coke; Anode; Separator (oil production); Materials science; Calcination; Metallurgy; Context (archaeology); Waste management; Chemical engineering; Chemistry; Engineering; Electrode; Catalysis; Thermodynamics; Physics","score_opus":0.05172412144722695,"score_gpt":0.33280771895028716,"score_spread":0.2810835975030602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1518437119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42431146,0.13399713,0.24981782,0.002712827,0.0028631324,0.00038505727,0.0008490202,0.0013889394,0.18367465],"genre_scores_gemma":[0.59516466,0.03518254,0.06014061,0.0005802656,0.0001606071,0.00007991983,0.0005495364,0.00026456965,0.30787736],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999229,0.0000024508493,0.000002770758,0.000019444798,0.00004620798,0.0000061996643],"domain_scores_gemma":[0.99997044,0.000004773936,0.0000033528027,0.000002432094,0.000016740512,0.000002339317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000080578895,0.00028924661,0.0001958806,0.0003271879,0.0002686211,0.00054675125,0.0004024411,0.00044256556,0.0022713817],"category_scores_gemma":[0.00010344295,0.00016797197,0.0002197048,0.00048565457,0.00023968915,0.0008362342,0.00019349635,0.00078871066,0.00084675045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011996522,0.00009862236,0.00017183273,0.0012586024,0.000017191067,0.00023085692,0.00016060715,0.0008885952,0.8220727,0.01232511,0.004496358,0.15815967],"study_design_scores_gemma":[0.000008535956,0.00007700053,0.00046059582,0.000035883542,0.000017265567,0.00031605185,0.000048056147,0.001942633,0.92561436,0.0010195151,0.07044704,0.000013152474],"about_ca_topic_score_codex":0.0010322173,"about_ca_topic_score_gemma":0.0035314604,"teacher_disagreement_score":0.0022713817,"about_ca_system_score_codex":0.0004468424,"about_ca_system_score_gemma":0.00040437526,"threshold_uncertainty_score":0.0075985193},"labels":[],"label_agreement":null},{"id":"W1524352434","doi":"10.1007/978-3-319-48179-1_224","title":"New Method for Representative Measurement of Anode Electrical Resistance","year":2012,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Rio Tinto (Canada)","funders":"","keywords":"Anode; Materials science; Voltage drop; Electrical resistivity and conductivity; Current (fluid); Electrical resistance and conductance; Voltage; Electrical engineering; Optoelectronics; Composite material; Engineering; Chemistry; Electrode","score_opus":0.06890232079586678,"score_gpt":0.3455234382679818,"score_spread":0.27662111747211504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1524352434","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002741787,0.006177239,0.9612723,0.00030903786,0.0012878998,0.00010195537,0.00063008314,0.002652066,0.024827719],"genre_scores_gemma":[0.052723117,0.0080103865,0.78289473,0.0007679296,0.00053644244,0.0006013665,0.0013381382,0.0010671188,0.15206084],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987685,0.00010178885,0.000041083844,0.0003071984,0.00074948,0.000031923402],"domain_scores_gemma":[0.99938154,0.00016543617,0.00003749024,0.00014776096,0.0002480705,0.00001962093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007199171,0.0010099737,0.0008905831,0.0018370382,0.00052788656,0.00090024597,0.0021372307,0.0012795116,0.0097059],"category_scores_gemma":[0.0009662901,0.00078649103,0.0005179743,0.0014348241,0.000625812,0.0023383019,0.00085964287,0.0019293993,0.007386336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012692777,0.000103581,0.0006979237,0.001079061,0.000065925284,0.00027492957,0.0003063775,0.0011752448,0.50407946,0.032117,0.043230608,0.41674298],"study_design_scores_gemma":[0.000018230676,0.00014838726,0.002394238,0.00013845177,0.00009477585,0.0031441578,0.00012879696,0.020475158,0.5520978,0.015644722,0.40558714,0.00012809092],"about_ca_topic_score_codex":0.00032814412,"about_ca_topic_score_gemma":0.0011793397,"teacher_disagreement_score":0.0097059,"about_ca_system_score_codex":0.00059700955,"about_ca_system_score_gemma":0.00042856229,"threshold_uncertainty_score":0.03246945},"labels":[],"label_agreement":null},{"id":"W1530529507","doi":"10.1109/itec.2015.7165758","title":"Development of a DC-link protection system for regenerative braking of Electric Vehicle using a pseudo-cascade controlled IGBT chopper","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Chopper; Regenerative brake; Braking chopper; Overvoltage; Insulated-gate bipolar transistor; Transient (computer programming); Automotive engineering; Engineering; Battery (electricity); Cascade; Electric vehicle; Electrical engineering; Computer science; Voltage; Power (physics); Brake","score_opus":0.061759611085531685,"score_gpt":0.29524457101642776,"score_spread":0.23348495993089607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1530529507","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.093804084,0.0007953786,0.88973296,0.00019819527,0.00022034204,0.0005669969,0.00014482198,0.004996897,0.009540393],"genre_scores_gemma":[0.8691764,0.00047557146,0.12112603,0.000120412085,0.00006096929,0.00016981426,0.00020540043,0.00008228387,0.008583175],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998404,0.000013074064,0.000009454219,0.000032035416,0.00009019856,0.000014816719],"domain_scores_gemma":[0.9998561,0.000014503813,0.00001324525,0.000016982633,0.00008709678,0.00001198637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014659949,0.0003879505,0.00025743022,0.00034643488,0.00027851624,0.00030453288,0.00093487796,0.00040233732,0.0025295012],"category_scores_gemma":[0.00021866239,0.00017652064,0.00019552231,0.0001600506,0.00014636107,0.00038771224,0.00023566079,0.0003605129,0.0007218001],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003168308,0.00016630701,0.0014652677,0.0007774227,0.00006714203,0.0007606386,0.00026497018,0.013977843,0.61857396,0.003810687,0.003221447,0.35659733],"study_design_scores_gemma":[0.00025026887,0.0038585148,0.01002402,0.00011639893,0.0002142675,0.003278141,0.00014664905,0.28304103,0.6052299,0.0013403614,0.0924043,0.00009601854],"about_ca_topic_score_codex":0.0008083701,"about_ca_topic_score_gemma":0.00084175635,"teacher_disagreement_score":0.0025295012,"about_ca_system_score_codex":0.00021439268,"about_ca_system_score_gemma":0.00042661192,"threshold_uncertainty_score":0.008462012},"labels":[],"label_agreement":null},{"id":"W1546193097","doi":"10.4271/2006-01-3022","title":"Cell Equalization of Lithium Ion Cells","year":2006,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"EaglePicher (Canada)","funders":"","keywords":"Lithium (medication); Equalization (audio); Ion; Computer science; Optoelectronics; Materials science; Chemistry; Telecommunications; Medicine; Internal medicine; Channel (broadcasting)","score_opus":0.011298821400706467,"score_gpt":0.24754295218091107,"score_spread":0.23624413078020462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1546193097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9255291,0.0019513897,0.038481887,0.00029689263,0.00054969895,0.00021613452,0.000653878,0.0013315465,0.03098947],"genre_scores_gemma":[0.9780092,0.00046156108,0.0065589077,0.00019965049,0.00002939222,0.000058087808,0.0004636973,0.00008466433,0.014134885],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997311,0.000014882719,0.000023486777,0.000046146633,0.0001235517,0.000060810013],"domain_scores_gemma":[0.99970883,0.000039183742,0.000019083374,0.0000354156,0.00018009519,0.000017413833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001282265,0.00026445033,0.00035814274,0.00039401255,0.00037002182,0.0007920216,0.0008562931,0.0003772186,0.007275936],"category_scores_gemma":[0.00065643137,0.00012945369,0.00016499117,0.00056365546,0.00021456303,0.0008340668,0.00056010426,0.0004429494,0.001316297],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055197376,0.00011568057,0.0014231511,0.00022828557,0.000019156016,0.00016663402,0.00017731742,0.0019429548,0.90655106,0.0019331849,0.0016841339,0.08520647],"study_design_scores_gemma":[0.000022086837,0.00022212701,0.0010927769,0.000014009582,0.000019724428,0.00009915858,0.000056348563,0.00364445,0.98287624,0.00028036805,0.011655441,0.000017226099],"about_ca_topic_score_codex":0.0011572151,"about_ca_topic_score_gemma":0.0016824844,"teacher_disagreement_score":0.007275936,"about_ca_system_score_codex":0.0005956199,"about_ca_system_score_gemma":0.00028133878,"threshold_uncertainty_score":0.02434045},"labels":[],"label_agreement":null},{"id":"W1554587315","doi":"10.1109/intlec.1995.498967","title":"Experiences with Individual Cell Equalizers ability to prevent, diagnose, and correct common battery conditions, 1988-1995","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BP (Canada)","funders":"","keywords":"Battery (electricity); Reliability engineering; Voltage; Computer science; Automotive engineering; Risk analysis (engineering); Engineering; Electrical engineering; Business; Power (physics)","score_opus":0.023951562760122176,"score_gpt":0.2732975634811589,"score_spread":0.24934600072103674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1554587315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8576815,0.0054275077,0.014077158,0.01296393,0.0003156017,0.00007007772,0.0000658632,0.00013185416,0.1092664],"genre_scores_gemma":[0.92809594,0.006352008,0.0036784713,0.0017044989,0.000105247695,0.000026352729,0.0000627307,0.000040091174,0.059934758],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9990044,0.00034887466,0.000050251438,0.00009900225,0.00032087837,0.00017667653],"domain_scores_gemma":[0.9983322,0.000728002,0.0001425233,0.00012930247,0.00043911865,0.00022878256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029966885,0.0003468179,0.00023560619,0.00026227307,0.0017053296,0.0014102289,0.00066671625,0.0008230637,0.0059475326],"category_scores_gemma":[0.0066488776,0.00020017449,0.00017211292,0.00025628068,0.0016509434,0.0019536947,0.0015488231,0.0011027335,0.0012775462],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055178814,0.0008181042,0.03294681,0.0003278028,0.000027973356,0.0026310133,0.25111958,0.0018724912,0.010033416,0.018973997,0.04865822,0.63203883],"study_design_scores_gemma":[0.0000698599,0.0022271338,0.022040606,0.0003584211,0.000082527695,0.0129762245,0.12481868,0.0026525946,0.01748528,0.006636276,0.8105422,0.000110105946],"about_ca_topic_score_codex":0.0046463604,"about_ca_topic_score_gemma":0.007537144,"teacher_disagreement_score":0.0059475326,"about_ca_system_score_codex":0.0011041488,"about_ca_system_score_gemma":0.0007798003,"threshold_uncertainty_score":0.019896448},"labels":[],"label_agreement":null},{"id":"W1555936605","doi":"","title":"A cost effective inverter topology for fuel cell residential power applications","year":2009,"lang":"en","type":"article","venue":"European Conference on Power Electronics and Applications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bombardier (Canada)","funders":"","keywords":"Inverter; Engineering; Electrical engineering; Power (physics); Computer science; Automotive engineering; Voltage; Topology (electrical circuits)","score_opus":0.014004214253990904,"score_gpt":0.2774775756964209,"score_spread":0.26347336144243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1555936605","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10604565,0.00043863102,0.86637396,0.0002922906,0.00012602827,0.000110349836,0.00019828165,0.0015055261,0.024909262],"genre_scores_gemma":[0.8160723,0.0003541784,0.17636697,0.00006738026,0.000039517843,0.00008574412,0.00024344274,0.00010520006,0.0066652414],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999292,0.000010742276,0.0000029631606,0.000008365734,0.000042214506,0.0000064680403],"domain_scores_gemma":[0.99996173,0.000007096204,0.000004462431,0.0000062063004,0.000017332104,0.0000033233462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006662097,0.00022913195,0.00026267848,0.0002465046,0.00021412996,0.00033526926,0.00071404944,0.00031632168,0.0026155405],"category_scores_gemma":[0.00016172751,0.00010877673,0.00021080747,0.00024406773,0.000088056455,0.00075273967,0.00014756678,0.00030111833,0.00044618818],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025175963,0.0003252217,0.0013694488,0.00064247544,0.00009391636,0.0007875881,0.00017431879,0.20030648,0.35846892,0.047424793,0.0077874586,0.38236767],"study_design_scores_gemma":[0.00011156412,0.0008095436,0.0015071998,0.000027442728,0.00008014616,0.0007075403,0.000050317405,0.84928423,0.085466355,0.008596944,0.05332263,0.000036105896],"about_ca_topic_score_codex":0.00037874293,"about_ca_topic_score_gemma":0.0010283466,"teacher_disagreement_score":0.0026155405,"about_ca_system_score_codex":0.00024256864,"about_ca_system_score_gemma":0.0001483638,"threshold_uncertainty_score":0.008749843},"labels":[],"label_agreement":null},{"id":"W1561347511","doi":"10.1002/9781118755525.ch13","title":"Electric and Plug‐In Hybrid Electric Vehicles","year":2014,"lang":"en","type":"other","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Plug-in; Spark plug; Automotive engineering; Electric cars; Environmental science; Computer science; Engineering; Operating system; Mechanical engineering","score_opus":0.006728551181201087,"score_gpt":0.22936484603076077,"score_spread":0.22263629484955968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1561347511","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0060317977,0.017291514,0.034921557,0.0014697764,0.0024494112,0.00019121394,0.0009860508,0.0014209794,0.9352377],"genre_scores_gemma":[0.06102296,0.020961836,0.011028906,0.0006051321,0.0006840025,0.00008995335,0.001755801,0.00015878672,0.9036927],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99979335,0.000014692973,0.000007277261,0.000029773126,0.00013292383,0.000022010745],"domain_scores_gemma":[0.9999089,0.000009834714,0.000007368615,0.000012675998,0.000046464655,0.000014711414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001487945,0.000568957,0.00018961921,0.00074215524,0.0005212737,0.0013918179,0.0004185209,0.000835794,0.055669755],"category_scores_gemma":[0.00021891063,0.00016769559,0.0002778672,0.00083719887,0.00028852336,0.0015999356,0.00094313297,0.0006412657,0.025278145],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008643801,0.00012573178,0.0005495008,0.00062179187,0.000014817869,0.0002509735,0.00007695394,0.0025578188,0.014288009,0.06438671,0.16144694,0.7555944],"study_design_scores_gemma":[0.000004744044,0.00005201741,0.00044592106,0.000058632464,0.000004754969,0.00030328284,0.000032679287,0.0011955018,0.0032283042,0.0055891178,0.9890764,0.000008588126],"about_ca_topic_score_codex":0.000739438,"about_ca_topic_score_gemma":0.001277416,"teacher_disagreement_score":0.055669755,"about_ca_system_score_codex":0.0005026394,"about_ca_system_score_gemma":0.00047223666,"threshold_uncertainty_score":0.18623388},"labels":[],"label_agreement":null},{"id":"W1563863838","doi":"10.1109/itec.2015.7165826","title":"Integrated active power filter auxiliary power modules for electrified vehicle applications with single-phase on-board chargers","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canada Research Chairs","keywords":"Electrical engineering; Capacitor; Ripple; Harmonic; Battery (electricity); Voltage; Power (physics); Battery charger; Three-phase; Engineering; AC power; Electronic engineering; Physics; Acoustics","score_opus":0.03335284572415458,"score_gpt":0.2880351138956727,"score_spread":0.2546822681715181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1563863838","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20384392,0.0012090665,0.776765,0.00017015784,0.00020954855,0.00019244483,0.00019504134,0.00420705,0.0132078165],"genre_scores_gemma":[0.93037623,0.00042265406,0.05993482,0.00008081436,0.00006333827,0.00006829691,0.00013384325,0.000087926266,0.008832067],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985087,0.000013523599,0.000008197824,0.000028681356,0.0000792584,0.000019403038],"domain_scores_gemma":[0.9998946,0.000012124567,0.000015096263,0.00001695943,0.00005361311,0.0000075505036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008803052,0.0003801673,0.00036832935,0.00038335097,0.00019754634,0.0004891199,0.0011031806,0.0004714354,0.003450302],"category_scores_gemma":[0.00018421846,0.00015805448,0.00036550866,0.0003676025,0.000109502216,0.00078049913,0.00024963656,0.00036149062,0.000804652],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037499995,0.00025576432,0.0017345661,0.00047112882,0.00012585566,0.00026853176,0.00012679765,0.0076939897,0.5775897,0.0032926246,0.003652709,0.4044134],"study_design_scores_gemma":[0.00024048786,0.0022206404,0.00796602,0.000070521004,0.00033812042,0.0016315506,0.00011380987,0.20942453,0.7084012,0.0022946012,0.067233175,0.00006528082],"about_ca_topic_score_codex":0.0005567773,"about_ca_topic_score_gemma":0.00097470987,"teacher_disagreement_score":0.003450302,"about_ca_system_score_codex":0.00026138363,"about_ca_system_score_gemma":0.00023343679,"threshold_uncertainty_score":0.011542439},"labels":[],"label_agreement":null},{"id":"W1567860871","doi":"10.1109/iscas.2006.1693237","title":"A power planning model for implantable stimulators","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Modular design; Power (physics); Computer science; Electronic engineering; Voltage; Power consumption; Breadboard; Dissipation; Engineering; Electrical engineering","score_opus":0.01946903475243215,"score_gpt":0.2858017379077225,"score_spread":0.26633270315529034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1567860871","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010126692,0.00021943367,0.9803776,0.00014325618,0.00001727155,0.000047283604,0.00017737906,0.0003443448,0.0085467445],"genre_scores_gemma":[0.8133648,0.0011086287,0.15863366,0.00015924359,0.000042154647,0.00057721394,0.00041973067,0.00026874882,0.025425728],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981207,0.00003997042,0.000009250765,0.00004126687,0.00007779729,0.000019582338],"domain_scores_gemma":[0.99968433,0.00018161858,0.00003725237,0.000023989307,0.00006347099,0.000009305953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029592638,0.00056028983,0.0003954453,0.00029724286,0.00025659657,0.00062025705,0.0010948636,0.00063208176,0.0042001214],"category_scores_gemma":[0.001110708,0.00035105253,0.00044915787,0.0003232053,0.00039414383,0.0008722234,0.00032253825,0.00079947966,0.0006381566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017171524,0.000009586037,0.00009612562,0.000036113724,0.000006318219,0.0000486542,0.00002904505,0.9770861,0.0023222049,0.012637229,0.0003173642,0.0073939464],"study_design_scores_gemma":[0.0000030308836,0.000009491671,0.000043038963,0.0000037604336,0.000004377006,0.000017303539,0.0000030302735,0.9958925,0.0005559814,0.0025393912,0.0009256954,0.0000022649085],"about_ca_topic_score_codex":0.004018058,"about_ca_topic_score_gemma":0.0034074006,"teacher_disagreement_score":0.0042001214,"about_ca_system_score_codex":0.00077159173,"about_ca_system_score_gemma":0.0007088238,"threshold_uncertainty_score":0.014050841},"labels":[],"label_agreement":null},{"id":"W1568135477","doi":"10.1109/itec.2015.7165817","title":"Simplified control for redistributive balancing systems using bidirectional flyback converters","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canada Research Chairs","keywords":"Converters; Flyback transformer; Pulse-width modulation; Feed forward; Maximization; Control theory (sociology); Computer science; MATLAB; Controller (irrigation); Electronic engineering; Network topology; Engineering; Control engineering; Control (management); Voltage; Electrical engineering; Mathematics; Mathematical optimization","score_opus":0.04648782244252449,"score_gpt":0.2914230452162134,"score_spread":0.24493522277368895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1568135477","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042467065,0.00020148551,0.9456235,0.00010172921,0.00006124612,0.000121963094,0.000057277008,0.0011819937,0.010183828],"genre_scores_gemma":[0.9484574,0.00017808692,0.04553298,0.000060967548,0.000034440327,0.00014730242,0.00008661221,0.00004210415,0.0054599806],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998318,0.000024525725,0.000011158986,0.000032542008,0.00008235323,0.000017594786],"domain_scores_gemma":[0.9998964,0.000026169912,0.000018538638,0.000019387458,0.00003428586,0.0000051164243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020630876,0.00041609406,0.00035538475,0.00023644243,0.0003172761,0.00068365055,0.0006548208,0.00028014847,0.0031816424],"category_scores_gemma":[0.00022658597,0.00015319983,0.00024161696,0.00015461174,0.00033790356,0.00045914593,0.00033962593,0.00050656806,0.00055115327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003937092,0.00021192522,0.00061455934,0.00049775984,0.00005622717,0.000263985,0.00030793063,0.43497595,0.27041858,0.03410057,0.0028519738,0.2553068],"study_design_scores_gemma":[0.00007888688,0.00029102995,0.00049467356,0.000021304955,0.000024057374,0.00006729687,0.000028427186,0.95483834,0.03090794,0.0045178286,0.008712871,0.000017447332],"about_ca_topic_score_codex":0.0015862195,"about_ca_topic_score_gemma":0.0025227484,"teacher_disagreement_score":0.0031816424,"about_ca_system_score_codex":0.00034565813,"about_ca_system_score_gemma":0.00030890887,"threshold_uncertainty_score":0.010643661},"labels":[],"label_agreement":null},{"id":"W1572368316","doi":"","title":"Electrochemistry and spectroscopy of energy conversion and polynuclear aromatic materials","year":2003,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Spectroscopy; Electrochemistry; Chemistry; Physics; Electrode; Physical chemistry","score_opus":0.00751058710936577,"score_gpt":0.19670032689009836,"score_spread":0.18918973978073259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1572368316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93508935,0.00859446,0.034244664,0.00049384503,0.00012420118,0.0000493829,0.0011584825,0.00022631802,0.020019265],"genre_scores_gemma":[0.9824409,0.002010131,0.008581984,0.00014796984,0.000020592604,0.000045174365,0.00041145206,0.000015836173,0.0063259127],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984276,0.000018374536,0.0000059785,0.000031731244,0.00008340217,0.00001767011],"domain_scores_gemma":[0.9998981,0.00004186608,0.000019048257,0.0000093395365,0.00002314915,0.000008505626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014382241,0.00022076732,0.00011140317,0.0004531913,0.0002250736,0.0002000951,0.00032995324,0.0003820915,0.0021955841],"category_scores_gemma":[0.00028914103,0.00008885339,0.00009481168,0.0004799107,0.00022512209,0.0003267272,0.00026249923,0.00037911048,0.0002360442],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006893107,0.000017722099,0.00089196954,0.0001288953,0.000012116166,0.000106878346,0.000049806105,0.00028824093,0.98614895,0.0015147729,0.00016732296,0.010604444],"study_design_scores_gemma":[0.000005293244,0.000080104044,0.005194836,0.000010529292,0.0000056859267,0.0004312251,0.00005026575,0.0021415602,0.985968,0.00062021957,0.005485404,0.000006916483],"about_ca_topic_score_codex":0.00036038266,"about_ca_topic_score_gemma":0.0005902334,"teacher_disagreement_score":0.0021955841,"about_ca_system_score_codex":0.00027769056,"about_ca_system_score_gemma":0.00013378206,"threshold_uncertainty_score":0.007345021},"labels":[],"label_agreement":null},{"id":"W1579416786","doi":"","title":"Nouvelle méthode d'analyse rapide pour déterminer la capacité de charge du LiFePO₄","year":2011,"lang":"fr","type":"article","venue":"Archipelago (Université du Québec à Montréal)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Centre québécois sur les matériaux fonctionnels","keywords":"Humanities; Physics; Art","score_opus":0.018270562363656342,"score_gpt":0.19911587939842681,"score_spread":0.18084531703477047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1579416786","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032889646,0.02833185,0.90054065,0.0013955621,0.0027249432,0.0014880168,0.002893487,0.0057472535,0.023988709],"genre_scores_gemma":[0.17759715,0.033260196,0.6877861,0.0022784262,0.0005016452,0.0052876794,0.0031558496,0.001415705,0.08871729],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9928873,0.0008205048,0.00032779138,0.0022153864,0.0034313542,0.0003177887],"domain_scores_gemma":[0.9959894,0.0014133131,0.00038719186,0.0005583512,0.00156523,0.00008653006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038087922,0.0025291534,0.0025552693,0.0030786432,0.0013677354,0.003078535,0.0022383374,0.003222256,0.013160725],"category_scores_gemma":[0.0057263603,0.0016799707,0.00223511,0.0022156937,0.0015743296,0.0030608897,0.001542686,0.003925004,0.00934724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035583138,0.00024761976,0.0034159017,0.0036966293,0.00044061273,0.00026562784,0.0006622737,0.0019181592,0.73310286,0.008783221,0.0116972355,0.23541394],"study_design_scores_gemma":[0.000076727934,0.00056210975,0.005245013,0.0004754916,0.0003512531,0.00096037245,0.00033423473,0.01448154,0.8043091,0.0035463083,0.16937357,0.0002842735],"about_ca_topic_score_codex":0.0029505573,"about_ca_topic_score_gemma":0.0061286567,"teacher_disagreement_score":0.013160725,"about_ca_system_score_codex":0.0016807785,"about_ca_system_score_gemma":0.0024316101,"threshold_uncertainty_score":0.04402703},"labels":[],"label_agreement":null},{"id":"W1596769423","doi":"10.1007/978-3-319-48248-4_118","title":"An Innovative Pot Ramming Machine","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Aluminium Refining, Degassing and Filtering (Canada)","funders":"","keywords":"Operability; Engineering; Rework; Manufacturing engineering; Construction engineering; Reliability engineering; Embedded system","score_opus":0.04277416901608614,"score_gpt":0.299844673908432,"score_spread":0.25707050489234584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1596769423","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020525338,0.004177036,0.35799062,0.000925355,0.0022142865,0.00013197889,0.00021037235,0.0026109936,0.611214],"genre_scores_gemma":[0.19556841,0.0043185432,0.1842388,0.0006082054,0.0007078186,0.00017654529,0.00041952846,0.00064086315,0.6133213],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998667,0.000009539423,0.00000426828,0.000030581257,0.000071167524,0.000017685827],"domain_scores_gemma":[0.99994326,0.000012986653,0.000004464635,0.000018855813,0.0000123919035,0.0000081236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016378361,0.0005818243,0.0003928242,0.0005902748,0.00066295645,0.00080056477,0.001005573,0.000649259,0.026442073],"category_scores_gemma":[0.0002786764,0.000282585,0.00033511937,0.00055840437,0.0007832473,0.002497165,0.0010856543,0.0010652493,0.0060491213],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001612368,0.0000716347,0.00015449576,0.00045277548,0.000017359967,0.00030735528,0.0002797585,0.007355102,0.055362813,0.32452953,0.03590269,0.5754052],"study_design_scores_gemma":[0.000028072496,0.0003745067,0.000749845,0.00014700662,0.000031104966,0.0013495381,0.0001302727,0.033007216,0.032767273,0.106581986,0.82478046,0.000052731237],"about_ca_topic_score_codex":0.00012946097,"about_ca_topic_score_gemma":0.00029532207,"teacher_disagreement_score":0.026442073,"about_ca_system_score_codex":0.00025762813,"about_ca_system_score_gemma":0.00026266972,"threshold_uncertainty_score":0.088457584},"labels":[],"label_agreement":null},{"id":"W1598277387","doi":"10.1109/iecon.2014.7048960","title":"Modelling of temperature dependent impedance in lithium ion polymer batteries and impact analysis on electric vehicles","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Lithium (medication); Electrical impedance; Automotive engineering; Propulsion; Internal resistance; Materials science; Power (physics); Work (physics); Nuclear engineering; Electric vehicle; Range (aeronautics); Thermal; Electrical engineering; Environmental science; Engineering; Mechanical engineering; Composite material; Aerospace engineering; Thermodynamics; Physics","score_opus":0.011041215485208438,"score_gpt":0.25351596523383607,"score_spread":0.24247474974862762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1598277387","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33679527,0.0011281583,0.6312203,0.0003495853,0.00008652245,0.0001124763,0.00030673892,0.0006522159,0.029348819],"genre_scores_gemma":[0.9866296,0.00053386093,0.0034742078,0.000023018678,0.000014560016,0.000061767074,0.00007285864,0.000054359018,0.00913578],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998822,0.000029801966,0.0000050172303,0.000018663024,0.000046546127,0.00001767504],"domain_scores_gemma":[0.9999114,0.000042656975,0.000013566763,0.0000087670915,0.000019329225,0.000004293645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014016715,0.0005186536,0.00038174418,0.0002878546,0.00022792594,0.0005501833,0.0006090364,0.00080010225,0.00119802],"category_scores_gemma":[0.0005722258,0.0002618498,0.00057349337,0.0003486601,0.0005108426,0.0009287565,0.0005130287,0.00040721757,0.00034813848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025616097,0.000012759666,0.00036800792,0.000027016462,0.0000060494963,0.000081608334,0.000038124108,0.98871535,0.005556169,0.0021818788,0.00010157843,0.0028859214],"study_design_scores_gemma":[0.0000037174598,0.000021680722,0.00020528784,0.000003124465,0.0000038557346,0.00002282114,0.000010441526,0.9967315,0.0016945184,0.0007393757,0.0005596808,0.0000040455257],"about_ca_topic_score_codex":0.003618318,"about_ca_topic_score_gemma":0.0016962029,"teacher_disagreement_score":0.003618318,"about_ca_system_score_codex":0.0004617863,"about_ca_system_score_gemma":0.00038252084,"threshold_uncertainty_score":0.007194519},"labels":[],"label_agreement":null},{"id":"W1600387940","doi":"10.1109/intlec.1990.171288","title":"Accelerated life testing of valve-regulated lead-acid batteries","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Tafel equation; Electrolyte; Lead–acid battery; Materials science; Computer science; Chemistry; Electrochemistry; Battery (electricity); Thermodynamics; Electrode","score_opus":0.10750171693324193,"score_gpt":0.2909612776826659,"score_spread":0.18345956074942396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1600387940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95067114,0.0015520402,0.03755686,0.00019086608,0.00015862758,0.0001539998,0.0003567106,0.000812124,0.008547626],"genre_scores_gemma":[0.9828027,0.0006366322,0.010549207,0.00008709605,0.000020164325,0.000069268914,0.00027481696,0.000058985104,0.005501198],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994221,0.00010933406,0.00003620581,0.000049193808,0.00033438008,0.00004876194],"domain_scores_gemma":[0.9989862,0.00025881495,0.000071975395,0.000118864904,0.0005023363,0.0000618779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046615346,0.00030117115,0.00028991696,0.00048106743,0.0002942182,0.000509041,0.000918523,0.00058648916,0.0018642979],"category_scores_gemma":[0.0016889786,0.00015321838,0.00028022166,0.00029668203,0.00025424678,0.0008093999,0.00042182457,0.0005060037,0.0006155355],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004137417,0.0000817747,0.0017006366,0.00020441637,0.000019188285,0.0005252379,0.00037204914,0.0032875082,0.9592928,0.0011712842,0.000768613,0.032162685],"study_design_scores_gemma":[0.000076831886,0.0021002349,0.0041120774,0.00003511587,0.000028077697,0.0013640219,0.00014580297,0.015534441,0.9653437,0.001322414,0.009882356,0.000054880224],"about_ca_topic_score_codex":0.0003901649,"about_ca_topic_score_gemma":0.00045657347,"teacher_disagreement_score":0.0018642979,"about_ca_system_score_codex":0.00025661394,"about_ca_system_score_gemma":0.00020814451,"threshold_uncertainty_score":0.0062366724},"labels":[],"label_agreement":null},{"id":"W1608684983","doi":"10.1109/apec.1991.146217","title":"A microcomputer-based UPS battery management system","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"STMicroelectronics (Canada)","funders":"","keywords":"Battery (electricity); Microcomputer; USable; Uninterruptible power supply; Voltage; Electrical engineering; Computer science; Power (physics); Cell voltage; Engineering; Chemistry; World Wide Web","score_opus":0.01595919930902136,"score_gpt":0.21222982493229922,"score_spread":0.19627062562327785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1608684983","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16927226,0.0018751478,0.38794175,0.0010972378,0.00094289385,0.0017958609,0.0054915124,0.2739059,0.15767743],"genre_scores_gemma":[0.72956896,0.00089276733,0.11910683,0.0010979724,0.0005558088,0.001092158,0.005561611,0.0020150796,0.14010875],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999524,0.000038770624,0.00002965998,0.000120171164,0.00024544625,0.000041937834],"domain_scores_gemma":[0.9996061,0.00004842748,0.0000292002,0.00007692025,0.00018320422,0.00005625991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021017967,0.0005551391,0.0005795595,0.0010866045,0.00046310984,0.00074836845,0.0011619914,0.00035697967,0.03362982],"category_scores_gemma":[0.00072486757,0.00025224348,0.00016040794,0.0007619148,0.00020177187,0.0006845183,0.0006291158,0.00042139526,0.011687264],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009859753,0.00044525595,0.005320569,0.00042305142,0.00007016583,0.00077322253,0.00036688347,0.007490072,0.12150436,0.00598654,0.16233616,0.69429785],"study_design_scores_gemma":[0.0004959908,0.0013794417,0.017102702,0.00022700004,0.00029815867,0.0024813784,0.00019561758,0.21796542,0.19239973,0.0041896966,0.5630369,0.00022786939],"about_ca_topic_score_codex":0.0020325757,"about_ca_topic_score_gemma":0.0013508133,"teacher_disagreement_score":0.03362982,"about_ca_system_score_codex":0.00056447997,"about_ca_system_score_gemma":0.000497699,"threshold_uncertainty_score":0.11250293},"labels":[],"label_agreement":null},{"id":"W1636654619","doi":"10.1109/isie.2015.7281479","title":"Comprehensive review and comparison of DC fast charging converter topologies: Improving electric vehicle plug-to-wheels efficiency","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Network topology; Context (archaeology); Battery (electricity); Efficient energy use; Computer science; Electrical engineering; Power (physics); Electric vehicle; Automotive engineering; Engineering; Topology (electrical circuits); Computer network","score_opus":0.03898669616421094,"score_gpt":0.3131304210600421,"score_spread":0.27414372489583116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1636654619","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002336605,0.9848322,0.004845253,0.0001768402,0.00025211816,0.000024117504,0.00009272937,0.00005299391,0.007387135],"genre_scores_gemma":[0.012794027,0.97921556,0.0046713455,0.00015286224,0.00024374052,0.000020935648,0.0002528723,0.000022247657,0.0026264484],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996797,0.00004863841,0.000058865724,0.00006249501,0.00013005169,0.000020330572],"domain_scores_gemma":[0.999355,0.00024793073,0.00006234158,0.000027070148,0.00028909763,0.000018578301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069069647,0.00071303046,0.0010625422,0.0023111843,0.00020173955,0.0010158084,0.00085578486,0.0005605537,0.0031539986],"category_scores_gemma":[0.0009036379,0.00034282886,0.0005623075,0.004220168,0.0001549435,0.0014790243,0.00032811068,0.00042575534,0.0013327955],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011469942,0.00008434256,0.00035224404,0.025617398,0.00015328,0.00012793302,0.000060187234,0.0031065927,0.006510394,0.005373975,0.013959197,0.9445398],"study_design_scores_gemma":[0.000017903854,0.00045587504,0.0017830722,0.005992587,0.0005882747,0.0011387641,0.00012480379,0.0025309708,0.012312877,0.0027796826,0.97221595,0.000059207243],"about_ca_topic_score_codex":0.0006845894,"about_ca_topic_score_gemma":0.0009822798,"teacher_disagreement_score":0.0031539986,"about_ca_system_score_codex":0.0004127568,"about_ca_system_score_gemma":0.00076972117,"threshold_uncertainty_score":0.010551214},"labels":[],"label_agreement":null},{"id":"W163745502","doi":"","title":"An Integrated Bi-directional Automotive Charging System With Controller","year":2013,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Automotive industry; Automotive engineering; Controller (irrigation); Computer science; Engineering; Aerospace engineering","score_opus":0.010770019929599996,"score_gpt":0.20535370820534513,"score_spread":0.19458368827574513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W163745502","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11719723,0.0010916258,0.81725377,0.00047153333,0.0010345227,0.0005464929,0.0004014297,0.013015482,0.048987966],"genre_scores_gemma":[0.9255078,0.0002599356,0.053631503,0.0002345243,0.0000941507,0.00017803,0.00023003119,0.00007147984,0.019792566],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996786,0.00004180204,0.000026940796,0.00007323128,0.00014596162,0.000033459524],"domain_scores_gemma":[0.99981016,0.00001840612,0.0000121452285,0.000029758752,0.00010953414,0.000020053682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002221184,0.00038904307,0.00043254797,0.00037398722,0.00048148673,0.0009602843,0.0012078581,0.0006449773,0.0047058146],"category_scores_gemma":[0.00024377566,0.00019881787,0.00026640523,0.00029393192,0.0001437222,0.0005050816,0.0003907318,0.0004589035,0.001419086],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001670974,0.00086799887,0.0032616907,0.0009215814,0.00021918619,0.0012450542,0.00039786354,0.07906818,0.28063613,0.014363927,0.01835255,0.598995],"study_design_scores_gemma":[0.00036171806,0.001958197,0.0028232704,0.00006644989,0.00017604252,0.0021455637,0.00008272331,0.79400223,0.13206103,0.0021592055,0.06402618,0.00013738948],"about_ca_topic_score_codex":0.0017371873,"about_ca_topic_score_gemma":0.0014892997,"teacher_disagreement_score":0.0047058146,"about_ca_system_score_codex":0.00026384488,"about_ca_system_score_gemma":0.0005118186,"threshold_uncertainty_score":0.01574254},"labels":[],"label_agreement":null},{"id":"W1642673740","doi":"10.1109/intlec.1993.388486","title":"Computerized test equipment for stationary batteries","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"STMicroelectronics (Canada)","funders":"","keywords":"Battery (electricity); Service life; Service (business); Reliability engineering; Test (biology); Computer science; Lead–acid battery; Embedded system; Engineering","score_opus":0.021278454123878007,"score_gpt":0.2824382042451689,"score_spread":0.2611597501212909,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1642673740","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.064144865,0.0023037281,0.8498646,0.0007237342,0.0010728278,0.002304473,0.0059177754,0.023037827,0.050630152],"genre_scores_gemma":[0.36445358,0.0033401127,0.5369825,0.0014362029,0.0005670688,0.0056727245,0.013383874,0.0025063832,0.07165765],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99831533,0.00024048441,0.00019795919,0.000197494,0.0009814565,0.00006728449],"domain_scores_gemma":[0.99277,0.0029736664,0.00038822385,0.0012077291,0.0024907857,0.00016969176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012678921,0.00069782895,0.00088068255,0.0025077153,0.00057707686,0.0010072283,0.002989247,0.00090896594,0.05800369],"category_scores_gemma":[0.009729698,0.00036354657,0.00042085833,0.002529945,0.0004829022,0.0016800521,0.0012828074,0.000727714,0.010488601],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079478126,0.00048319538,0.008877578,0.0020143301,0.00007722836,0.0012972208,0.00055230816,0.01045976,0.26270556,0.019254953,0.059585784,0.63389736],"study_design_scores_gemma":[0.00049596076,0.004125548,0.033337537,0.0008613596,0.0003662531,0.009263665,0.00046056655,0.06451732,0.4214075,0.011449646,0.4534558,0.0002588728],"about_ca_topic_score_codex":0.001477255,"about_ca_topic_score_gemma":0.001334812,"teacher_disagreement_score":0.05800369,"about_ca_system_score_codex":0.0005446045,"about_ca_system_score_gemma":0.0010690388,"threshold_uncertainty_score":0.19404167},"labels":[],"label_agreement":null},{"id":"W1707458450","doi":"10.1109/pvsc.2000.916215","title":"Optimizing photovoltaic array size in a hybrid power system","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"British Columbia Institute of Technology; Simon Fraser University","funders":"","keywords":"Photovoltaic system; Battery (electricity); Automotive engineering; Power (physics); Computer science; Maximum power principle; Electrical engineering; Engineering","score_opus":0.013829392815878975,"score_gpt":0.22251755321323718,"score_spread":0.2086881603973582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1707458450","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26672465,0.00035759012,0.70434606,0.00034951995,0.00003897008,0.00012343831,0.00019599825,0.0004886538,0.027375173],"genre_scores_gemma":[0.9334046,0.00025424326,0.05837955,0.00006344611,0.000014035966,0.00019327775,0.00007498041,0.000095256786,0.0075206575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983585,0.000062970386,0.0000047152002,0.000028356082,0.00005011109,0.000017933142],"domain_scores_gemma":[0.9998031,0.0001255901,0.000023468652,0.00000962217,0.000031477062,0.0000067153524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032111618,0.00045152663,0.0005807766,0.00021032481,0.00020311744,0.00070347753,0.0004763969,0.00057971553,0.0019051263],"category_scores_gemma":[0.0007544786,0.0003724514,0.0003480306,0.0002916413,0.00024130043,0.00078317715,0.0002740729,0.00039402794,0.00027387857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011974942,0.000010289775,0.00011564377,0.000012360029,0.00000499598,0.000014619071,0.0000060139128,0.99384105,0.0015733134,0.00067848334,0.000075077725,0.003656112],"study_design_scores_gemma":[0.00001260733,0.00006930012,0.00016958587,0.0000027731894,0.000009184885,0.000017186618,0.000009225347,0.99669695,0.0013499075,0.0011758207,0.00048317865,0.0000043580408],"about_ca_topic_score_codex":0.0015061607,"about_ca_topic_score_gemma":0.002839947,"teacher_disagreement_score":0.0019051263,"about_ca_system_score_codex":0.00066081044,"about_ca_system_score_gemma":0.00043406844,"threshold_uncertainty_score":0.0063732266},"labels":[],"label_agreement":null},{"id":"W172497977","doi":"10.1007/978-1-4471-5104-3_14","title":"Advanced Electric Vehicles","year":2013,"lang":"en","type":"book-chapter","venue":"Green energy and technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Automotive engineering; Computer science; Engineering","score_opus":0.0077582780747694965,"score_gpt":0.20221776057139687,"score_spread":0.19445948249662737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W172497977","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006787405,0.0075777206,0.009644567,0.00066694076,0.001759048,0.000055873003,0.00028826436,0.00050955615,0.97881925],"genre_scores_gemma":[0.0026159869,0.0039354647,0.0015314504,0.00020186411,0.00013378628,0.000018875679,0.00026258483,0.00008099054,0.991219],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99979204,0.0000116225065,0.0000047587446,0.00003614961,0.00013377136,0.000021763228],"domain_scores_gemma":[0.99992573,0.000007516052,0.0000036804977,0.000011588144,0.000042247306,0.00000923468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000171342,0.0011290272,0.00043017967,0.0011415853,0.00084268575,0.0015278595,0.00073766365,0.00091386936,0.09657034],"category_scores_gemma":[0.0002614128,0.0003015412,0.00030468128,0.0012462676,0.00037242725,0.0018617316,0.0011348629,0.0014914306,0.07132056],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023607123,0.00005632611,0.00012720357,0.0002139686,0.0000071301984,0.00007339985,0.000109654975,0.0008856264,0.0023769937,0.0498002,0.4402546,0.5060712],"study_design_scores_gemma":[0.000001221825,0.0000075527532,0.000112642694,0.00005075989,0.0000018607451,0.000060068312,0.000026118438,0.00025539513,0.00037776213,0.004366986,0.9947371,0.0000024614171],"about_ca_topic_score_codex":0.0023505187,"about_ca_topic_score_gemma":0.0074017495,"teacher_disagreement_score":0.09657034,"about_ca_system_score_codex":0.0009089412,"about_ca_system_score_gemma":0.000993688,"threshold_uncertainty_score":0.32305998},"labels":[],"label_agreement":null},{"id":"W1799881147","doi":"10.1007/s11367-015-0959-7","title":"A cascaded life cycle: reuse of electric vehicle lithium-ion battery packs in energy storage systems","year":2015,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":407,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; National Research Council Canada","funders":"","keywords":"Reuse; Battery (electricity); Battery pack; Life-cycle assessment; Energy storage; Automotive engineering; Electric vehicle; Electricity; Lithium-ion battery; Power (physics); Engineering; Computer science; Environmental science; Electrical engineering; Waste management; Production (economics)","score_opus":0.024880315409576623,"score_gpt":0.30409472034257906,"score_spread":0.2792144049330024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1799881147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8365078,0.0025347397,0.1383316,0.00032070486,0.00017380445,0.0005095083,0.0007090538,0.00069853646,0.020214235],"genre_scores_gemma":[0.981545,0.00045587297,0.014299928,0.000027778995,0.000010941066,0.000049031925,0.00015537028,0.00003976919,0.0034163164],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998097,0.00003082011,0.0000099486115,0.000034485336,0.000088577195,0.000026646398],"domain_scores_gemma":[0.9997967,0.000040926632,0.000013026584,0.000046260175,0.00008865252,0.000014430327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002886612,0.00050703035,0.0004094533,0.00063022244,0.00050013134,0.0006678995,0.0009866566,0.0005029466,0.004487311],"category_scores_gemma":[0.0006545706,0.00025471556,0.0005461419,0.00058316346,0.0003319612,0.0016522212,0.0004366739,0.00036160057,0.0004797735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002989602,0.00092148024,0.00998613,0.0010406012,0.000115864306,0.00064723403,0.00031148092,0.24556006,0.21935174,0.018233571,0.003919684,0.4969225],"study_design_scores_gemma":[0.00014080654,0.002641008,0.008587572,0.00009634056,0.0001391312,0.00046968425,0.00018560338,0.73180646,0.23473865,0.009617313,0.011484527,0.000092908085],"about_ca_topic_score_codex":0.0035012066,"about_ca_topic_score_gemma":0.005907433,"teacher_disagreement_score":0.004487311,"about_ca_system_score_codex":0.0006923932,"about_ca_system_score_gemma":0.0008291427,"threshold_uncertainty_score":0.015011549},"labels":[],"label_agreement":null},{"id":"W1820635100","doi":"10.1007/s11465-015-0336-z","title":"Real-time immune-inspired optimum state-of-charge trajectory estimation using upcoming route information preview and neural networks for plug-in hybrid electric vehicles fuel economy","year":2015,"lang":"en","type":"article","venue":"Frontiers of Mechanical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Trajectory; Plug-in; Artificial neural network; State (computer science); State of charge; Charge (physics); Automotive engineering; Computer science; Estimation; Fuel cells; Engineering; Artificial intelligence; Systems engineering; Algorithm; Physics; Power (physics)","score_opus":0.01298997132412159,"score_gpt":0.23123727315811138,"score_spread":0.2182473018339898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1820635100","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14408976,0.0006397558,0.85078746,0.00021904406,0.00016005384,0.00004493093,0.000046805868,0.00044823697,0.003563952],"genre_scores_gemma":[0.97584593,0.000060348273,0.023009215,0.000035413406,0.000015300955,0.000024672398,0.000032144515,0.000012928268,0.00096401566],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999031,0.000013998249,0.000006683253,0.000031838834,0.00002476945,0.00001955939],"domain_scores_gemma":[0.9997898,0.00007881354,0.000041457184,0.000011363125,0.00006523306,0.0000133483245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003686673,0.00042597653,0.00055280176,0.00025938766,0.00027586712,0.00043875774,0.00061482313,0.0005469585,0.00089552987],"category_scores_gemma":[0.00090511836,0.00029805166,0.00031096963,0.00026794712,0.00023198329,0.0004963216,0.00041216996,0.0004898081,0.00010499935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019029083,0.00008269053,0.0010147232,0.000050193823,0.000047976235,0.000053694108,0.000050571864,0.90626854,0.0066825124,0.0016919322,0.000655232,0.08321169],"study_design_scores_gemma":[0.000003777684,0.000013503723,0.000135716,0.0000016489147,0.0000042451125,0.000004068819,0.0000020350567,0.99924624,0.0003821538,0.00014835189,0.00005628886,0.000002027146],"about_ca_topic_score_codex":0.006927083,"about_ca_topic_score_gemma":0.007847238,"teacher_disagreement_score":0.006927083,"about_ca_system_score_codex":0.00042469893,"about_ca_system_score_gemma":0.0005733182,"threshold_uncertainty_score":0.013773501},"labels":[],"label_agreement":null},{"id":"W1846235572","doi":"10.1149/ma2013-01/4/290","title":"An Analytical Electro-Thermal Model for Lithium-Ion Batteries","year":2013,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Lithium (medication); Ion; Thermal; Materials science; Nuclear engineering; Computer science; Chemistry; Thermodynamics; Engineering; Physics; Medicine; Internal medicine","score_opus":0.023650153771483752,"score_gpt":0.2825295559344521,"score_spread":0.25887940216296834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1846235572","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036421392,0.005811727,0.8622881,0.0016507102,0.0009371735,0.0002548103,0.0021136918,0.001702588,0.08881972],"genre_scores_gemma":[0.7781362,0.006109417,0.043489944,0.0005146477,0.0003143834,0.0007664785,0.0018630882,0.0004972306,0.1683086],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999101,0.0000159676,0.0000055409623,0.000013885466,0.000041957075,0.0000125998895],"domain_scores_gemma":[0.999936,0.00001870439,0.0000051293105,0.0000067383785,0.000030001764,0.0000034358816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001556589,0.00061065983,0.0007311615,0.00040648648,0.00040942928,0.00067079853,0.0017123814,0.00085983943,0.010638138],"category_scores_gemma":[0.00057045266,0.00023047971,0.00076959614,0.0005806894,0.00029974806,0.0012727797,0.00042143147,0.00057260937,0.0031067275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015525146,0.000121620506,0.00040306975,0.0006430982,0.000053942527,0.00042933668,0.00014115169,0.8279685,0.03583226,0.083424196,0.0124523,0.038375333],"study_design_scores_gemma":[0.000010824345,0.00003289433,0.00012623212,0.000025600842,0.000017127966,0.00007884261,0.000018281638,0.9714452,0.0036422329,0.013146316,0.011443058,0.000013351631],"about_ca_topic_score_codex":0.0028414652,"about_ca_topic_score_gemma":0.0030554947,"teacher_disagreement_score":0.010638138,"about_ca_system_score_codex":0.0006174213,"about_ca_system_score_gemma":0.0005427819,"threshold_uncertainty_score":0.035588145},"labels":[],"label_agreement":null},{"id":"W1857941183","doi":"10.1109/itec.2015.7165766","title":"A novel battery/ ultracapacitor hybrid energy storage system analysis based on physics-based lithium-ion battery modeling","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Supercapacitor; Energy storage; Hybrid system; Lithium (medication); Lithium-ion battery; Topology (electrical circuits); State of charge; Power (physics); Computer science; Hybrid power; Electrical engineering; Materials science; Engineering; Electrochemistry; Electrode; Chemistry; Physics","score_opus":0.03263698226443548,"score_gpt":0.24687796423244474,"score_spread":0.21424098196800925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1857941183","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.084710605,0.0010790733,0.8848735,0.00021213286,0.00009332239,0.00009795141,0.0002894992,0.0008075391,0.027836405],"genre_scores_gemma":[0.9373283,0.00096695806,0.046985533,0.00005630932,0.00004099083,0.0001894412,0.00027009842,0.00006982711,0.01409259],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999608,0.0000054867546,0.0000027512094,0.000008244617,0.000018255774,0.0000045004813],"domain_scores_gemma":[0.9999751,0.000004285703,0.0000026440973,0.0000034434229,0.00001259003,0.0000019045971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006226952,0.00034009718,0.00039165476,0.0002763233,0.00027998106,0.00050422945,0.0008161032,0.00035369882,0.0020854264],"category_scores_gemma":[0.00008032779,0.0001497884,0.00047889396,0.00025580978,0.00020949921,0.0007987052,0.00028368505,0.00030425514,0.0003856055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007025809,0.00006710643,0.0012782606,0.00027190187,0.0000939441,0.0005318886,0.00015031894,0.79014105,0.09151135,0.06545098,0.0022137081,0.048219252],"study_design_scores_gemma":[0.0000030761732,0.000020663849,0.00020101176,0.000004835168,0.000008206032,0.000056711488,0.000012825276,0.99163985,0.0025818262,0.003961576,0.0015036841,0.000005686158],"about_ca_topic_score_codex":0.001834569,"about_ca_topic_score_gemma":0.0016210544,"teacher_disagreement_score":0.0020854264,"about_ca_system_score_codex":0.0002557366,"about_ca_system_score_gemma":0.00033275556,"threshold_uncertainty_score":0.0069764256},"labels":[],"label_agreement":null},{"id":"W1860215572","doi":"10.1109/isie.1992.279697","title":"Design of a Cockcroft-Walton cascade rectifier for triggering flashlamps","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cascade; Rectifier (neural networks); Precision rectifier; Electrical engineering; Voltage; Implementation; Computer science; Electronic engineering; Current (fluid); Topology (electrical circuits); Engineering; Power factor; Programming language; Artificial intelligence","score_opus":0.039806777124684556,"score_gpt":0.28308992456535026,"score_spread":0.2432831474406657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1860215572","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048212893,0.0006330268,0.9215315,0.0004584942,0.0003301944,0.0013127452,0.0001964719,0.0036541468,0.023670629],"genre_scores_gemma":[0.74490637,0.00070216315,0.23493008,0.00033648044,0.0001561342,0.00048795546,0.00018871423,0.00019495885,0.018097207],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99953246,0.00004409459,0.00003583286,0.00014120823,0.00018377813,0.00006266388],"domain_scores_gemma":[0.99966455,0.000058496436,0.000038587714,0.000032801105,0.00017284697,0.000032747717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043129138,0.00051430566,0.00044755323,0.0003840044,0.00062785525,0.0011765559,0.0023364048,0.0011398401,0.006708374],"category_scores_gemma":[0.0006967434,0.00039347878,0.000385037,0.00027746428,0.00023421465,0.0008366004,0.00036446252,0.00064436445,0.0024120053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006314415,0.00021227024,0.0009851756,0.0008429455,0.000096387004,0.0006521576,0.00034897227,0.013823654,0.7301114,0.015995782,0.005260646,0.23103912],"study_design_scores_gemma":[0.00050656154,0.0038480656,0.0025608144,0.00023425484,0.00028120095,0.0032216937,0.00016760638,0.18522227,0.7048359,0.0037732718,0.09517078,0.00017752516],"about_ca_topic_score_codex":0.00089347037,"about_ca_topic_score_gemma":0.0014563065,"teacher_disagreement_score":0.006708374,"about_ca_system_score_codex":0.0007471339,"about_ca_system_score_gemma":0.000990122,"threshold_uncertainty_score":0.022441804},"labels":[],"label_agreement":null},{"id":"W1861501612","doi":"10.1109/bcaa.2002.986362","title":"High-specific surface area, three-dimensional reticulated electrodes for deep cycle lead-acid batteries","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Research (Canada)","funders":"","keywords":"Lead–acid battery; Scanning electron microscope; Battery (electricity); Materials science; Current collector; Electrode; Electrochemistry; Depth of discharge; Casting; Plating (geology); Current (fluid); Metallurgy; Composite material; Electrical engineering; Electrolyte; Chemistry; Power (physics); Engineering","score_opus":0.01642934977775704,"score_gpt":0.23544527636453913,"score_spread":0.2190159265867821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1861501612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7938258,0.0073157325,0.19051003,0.0002410504,0.00013113709,0.00016316945,0.00043699885,0.0016799369,0.005696059],"genre_scores_gemma":[0.88247216,0.0015184545,0.112939715,0.000058737958,0.00003620404,0.000068762194,0.00028401258,0.000117125484,0.002504922],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998838,0.0000134221655,0.000009251287,0.000022154663,0.000062511346,0.000008887523],"domain_scores_gemma":[0.9997559,0.00005627848,0.00005911658,0.0000486385,0.00006632174,0.0000138010555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020384927,0.00024696972,0.0002432514,0.00028081966,0.00012322796,0.00027537072,0.00065126823,0.0002637259,0.0008836132],"category_scores_gemma":[0.00072636013,0.00017843032,0.00020781373,0.00019287449,0.00018164866,0.00044761956,0.00020121549,0.00024614413,0.00058737386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032925065,0.000013723193,0.0004963793,0.00019772229,0.00001135907,0.000105947525,0.00004573115,0.0009691225,0.9723397,0.00055427576,0.00028603186,0.024946984],"study_design_scores_gemma":[0.000020247815,0.00044181614,0.0038518843,0.000011789356,0.000028577913,0.0010395992,0.000027201988,0.0055478904,0.9782828,0.0002210147,0.0105106,0.00001649069],"about_ca_topic_score_codex":0.00018941177,"about_ca_topic_score_gemma":0.00060383254,"teacher_disagreement_score":0.0008836132,"about_ca_system_score_codex":0.0001819697,"about_ca_system_score_gemma":0.00013109928,"threshold_uncertainty_score":0.0029559731},"labels":[],"label_agreement":null},{"id":"W1864379945","doi":"10.1109/intlec.1992.268411","title":"Guidelines for lead-acid battery telecommunications applications","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Battery (electricity); Lead–acid battery; Float (project management); Computer science; Electrical engineering; Telecommunications; Engineering; Systems engineering","score_opus":0.09269284602956865,"score_gpt":0.3674031722250906,"score_spread":0.27471032619552194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1864379945","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024997299,0.029436655,0.17813602,0.010635727,0.0071685873,0.002400712,0.0051458688,0.009350541,0.75522614],"genre_scores_gemma":[0.007880733,0.024810448,0.12781021,0.005234183,0.0010146433,0.0022459219,0.0065563074,0.0015331159,0.82291454],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993905,0.00009988062,0.00008620049,0.000042431333,0.0003389782,0.0000419712],"domain_scores_gemma":[0.99855167,0.00030147232,0.00006132414,0.00012767392,0.0008920888,0.00006582779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007040892,0.0012688102,0.0006801536,0.001979778,0.0007788419,0.0014253266,0.0019458123,0.0027248466,0.13175035],"category_scores_gemma":[0.0025416357,0.00052929326,0.0005263097,0.0020272522,0.00030039117,0.0017734051,0.0010463753,0.0016287721,0.13655734],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046467976,0.00015664019,0.0001525112,0.001040735,0.0000056502085,0.0005378723,0.00028249304,0.0013856909,0.0054797977,0.016681286,0.6185208,0.35571006],"study_design_scores_gemma":[0.000006255336,0.000017027927,0.00009591779,0.00015342991,0.0000020112125,0.00019137702,0.00003506398,0.00028568605,0.00038640513,0.003088476,0.9957319,0.000006538889],"about_ca_topic_score_codex":0.002342536,"about_ca_topic_score_gemma":0.0050988602,"teacher_disagreement_score":0.13175035,"about_ca_system_score_codex":0.0004418702,"about_ca_system_score_gemma":0.0011180568,"threshold_uncertainty_score":0.4407488},"labels":[],"label_agreement":null},{"id":"W1887052680","doi":"10.1109/intlec.2000.884251","title":"Lithium polymer battery in warm environment","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Argo; Battery (electricity); Lead–acid battery; Computer science; Telecommunications; Electrical engineering; Environmental science; Engineering; Automotive engineering; Geology","score_opus":0.01800208403716083,"score_gpt":0.21429172143622915,"score_spread":0.19628963739906832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1887052680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5836257,0.067699365,0.11566351,0.0046834936,0.0016179117,0.00021056204,0.00056139706,0.004798043,0.22114004],"genre_scores_gemma":[0.78885734,0.018298134,0.010183702,0.0008168792,0.0003707855,0.0000760813,0.00025882732,0.00021394847,0.18092424],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982363,0.000023296248,0.0000068262284,0.000028154152,0.00008021871,0.000037927166],"domain_scores_gemma":[0.9999436,0.000010427999,0.0000073719634,0.000005905185,0.000018355879,0.000014283266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001589063,0.00031003152,0.0004948857,0.00029667013,0.0006312573,0.0008608051,0.0004364307,0.0005162307,0.0038162337],"category_scores_gemma":[0.00017032264,0.00013551148,0.0002207829,0.00026054814,0.00038770094,0.0015559478,0.0010010522,0.00053585053,0.0027738397],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006176557,0.00011404178,0.0011374748,0.00074591127,0.000034939156,0.0018556871,0.0005649237,0.004694996,0.8288588,0.013937417,0.012502144,0.13493593],"study_design_scores_gemma":[0.00008712311,0.0012202503,0.0024033359,0.00014823773,0.00007803777,0.0030654806,0.00052831275,0.00749705,0.7540921,0.0062692994,0.22450466,0.00010613084],"about_ca_topic_score_codex":0.0006429143,"about_ca_topic_score_gemma":0.0011631359,"teacher_disagreement_score":0.0038162337,"about_ca_system_score_codex":0.000384643,"about_ca_system_score_gemma":0.00019370292,"threshold_uncertainty_score":0.0127666},"labels":[],"label_agreement":null},{"id":"W1890276119","doi":"10.1109/ipss.1990.145786","title":"Lithium/sulfur dioxide battery design changes","year":2002,"lang":"en","type":"article","venue":"Proceedings of the 34th International Power Sources Symposium","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ballard Power Systems (Canada)","funders":"","keywords":"Battery (electricity); Sulfur dioxide; Lithium (medication); Computer science; Reliability engineering; Engineering; Chemistry; Organic chemistry; Medicine; Physics","score_opus":0.02022104067274488,"score_gpt":0.22294528030411015,"score_spread":0.20272423963136527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1890276119","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18862453,0.013843902,0.26483926,0.009073541,0.014595312,0.0011948039,0.0070987362,0.015615991,0.48511386],"genre_scores_gemma":[0.39839536,0.008885621,0.090898156,0.005923358,0.00097440154,0.0011033057,0.006002023,0.0022414525,0.4855764],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99944204,0.000053013988,0.00006355638,0.00007940404,0.00031051825,0.000051538635],"domain_scores_gemma":[0.9996099,0.000027294469,0.000016932658,0.00005729031,0.00027035986,0.000018261104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036477327,0.00078629545,0.0005118501,0.00037874168,0.00041712026,0.000858312,0.0012725197,0.0010726439,0.012129022],"category_scores_gemma":[0.0008885234,0.00032121906,0.0006957146,0.0004470034,0.0002684296,0.00080948585,0.00046185387,0.000801896,0.006626862],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012741769,0.00022417003,0.0018653437,0.002069077,0.00010210387,0.0009814231,0.00046627654,0.013116869,0.33709824,0.051079284,0.14695802,0.444765],"study_design_scores_gemma":[0.00008977972,0.0003415438,0.0006206427,0.00005423767,0.00007860423,0.0007995488,0.000057585792,0.0043033445,0.11772383,0.0038189273,0.8720684,0.000043585766],"about_ca_topic_score_codex":0.0012171065,"about_ca_topic_score_gemma":0.0015824316,"teacher_disagreement_score":0.012129022,"about_ca_system_score_codex":0.000919205,"about_ca_system_score_gemma":0.0005075746,"threshold_uncertainty_score":0.040575564},"labels":[],"label_agreement":null},{"id":"W1903202886","doi":"10.1109/bcaa.1991.761513","title":"High rate lithium batteries for military and commercial applications","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ballard Power Systems (Canada)","funders":"","keywords":"Lithium (medication); Emphasis (telecommunications); Materials science; Computer science; Electrical engineering; Engineering physics; Engineering; Psychology","score_opus":0.014691823874807561,"score_gpt":0.2680304555006759,"score_spread":0.25333863162586834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1903202886","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04532924,0.5946782,0.0751079,0.0042544804,0.0027099801,0.00026669382,0.00068863254,0.0023083787,0.27465644],"genre_scores_gemma":[0.2804555,0.4173008,0.07947445,0.0015775537,0.0015169962,0.00024056631,0.000979609,0.0003244322,0.21813011],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997732,0.000026644535,0.00001369542,0.000018814078,0.0001475213,0.000020129199],"domain_scores_gemma":[0.99986875,0.000021568438,0.00002279924,0.000013565848,0.00005249912,0.000020873013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002980363,0.00050592487,0.00036312346,0.00062496745,0.00044131879,0.0014067132,0.00059622194,0.00086802436,0.013781968],"category_scores_gemma":[0.00047132507,0.00017493205,0.0002732755,0.0011184041,0.00020526059,0.0016486768,0.0006200664,0.00058193906,0.008060707],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024130243,0.00010482214,0.00091207476,0.0023045482,0.000021795377,0.00044929032,0.0001970659,0.0023833076,0.11931,0.033681814,0.038844064,0.80155003],"study_design_scores_gemma":[0.00003141063,0.000454694,0.0012182902,0.00040231113,0.000045659028,0.002221285,0.00015635049,0.002120952,0.06262726,0.010928642,0.9197292,0.00006391431],"about_ca_topic_score_codex":0.00028020667,"about_ca_topic_score_gemma":0.0005655956,"teacher_disagreement_score":0.013781968,"about_ca_system_score_codex":0.00031186268,"about_ca_system_score_gemma":0.00032467226,"threshold_uncertainty_score":0.046105266},"labels":[],"label_agreement":null},{"id":"W1907818491","doi":"10.1016/j.apenergy.2015.09.092","title":"Particle-filtering-based estimation of maximum available power state in Lithium-Ion batteries","year":2015,"lang":"en","type":"article","venue":"Applied Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":119,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"State of charge; Battery (electricity); State of health; Particle filter; Lithium-ion battery; Energy storage; Power (physics); Lithium (medication); Computer science; Gaussian; Engineering; Control theory (sociology); Electrical engineering; Filter (signal processing); Chemistry","score_opus":0.019670988906636794,"score_gpt":0.23965124582309025,"score_spread":0.21998025691645345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1907818491","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15312289,0.00077779085,0.842908,0.00033111862,0.00013173601,0.000038524613,0.0000812946,0.00036508738,0.0022435181],"genre_scores_gemma":[0.97353125,0.00030161964,0.024561504,0.00003878996,0.00004702017,0.0000316811,0.000107321524,0.000019656782,0.0013612512],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998784,0.000030805273,0.000011021502,0.000027564363,0.00003669468,0.00001552182],"domain_scores_gemma":[0.99936575,0.00042295488,0.00006025937,0.00002456742,0.00011067487,0.000015842628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005161557,0.00040020456,0.0007237442,0.00031760507,0.0003065916,0.000791455,0.00052216434,0.00069228205,0.0005044826],"category_scores_gemma":[0.0023472703,0.0004765152,0.00034170542,0.0003332594,0.0003359112,0.0006970263,0.00037338,0.00054473506,0.00014329306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027980856,0.00007047745,0.002457485,0.00011361967,0.000056587574,0.000061535815,0.00010972905,0.932052,0.004151325,0.0024916609,0.00083648204,0.05731926],"study_design_scores_gemma":[0.000003826283,0.000008119507,0.00038226834,0.0000026816228,0.0000027732426,0.0000033220124,0.0000031166285,0.99875045,0.000403546,0.00035803596,0.00007859252,0.0000032290545],"about_ca_topic_score_codex":0.010744494,"about_ca_topic_score_gemma":0.006024735,"teacher_disagreement_score":0.010744494,"about_ca_system_score_codex":0.0004017676,"about_ca_system_score_gemma":0.0005120131,"threshold_uncertainty_score":0.021363914},"labels":[],"label_agreement":null},{"id":"W1907889910","doi":"10.1109/intlec.1998.793589","title":"Prevention of thermal runaway in VRLA batteries","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Thermal runaway; Limiting; VRLA battery; Reliability engineering; Computer science; Compensation (psychology); Battery (electricity); Float (project management); Voltage; Process (computing); Phenomenon; Engineering; Electrical engineering; Forensic engineering; Lead–acid battery; Mechanical engineering; Systems engineering; Power (physics); Physics","score_opus":0.023635475819760502,"score_gpt":0.2590765460077948,"score_spread":0.23544107018803428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1907889910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70955116,0.005001264,0.25552884,0.0007863086,0.00018680083,0.00014835592,0.00012272657,0.0072473725,0.021427225],"genre_scores_gemma":[0.98295146,0.00046149394,0.013278939,0.0001041919,0.000027477978,0.000028061972,0.00006132432,0.00010793652,0.0029792155],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997396,0.000046152392,0.00002189891,0.000030042249,0.000112360416,0.00004985963],"domain_scores_gemma":[0.9992132,0.00018975732,0.00017082125,0.00018616236,0.00020921793,0.000030912193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023618064,0.00030632544,0.00053644105,0.0004348265,0.00036870263,0.0007260775,0.0009772787,0.000592956,0.0016863245],"category_scores_gemma":[0.0013924603,0.00018472994,0.0003022023,0.0002491793,0.00025502758,0.00088444154,0.0006471453,0.00046011244,0.0006827664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000879142,0.00013895356,0.006240787,0.00095514185,0.000093881805,0.0020913112,0.0011340498,0.022231702,0.59957063,0.004931965,0.0030525562,0.35867992],"study_design_scores_gemma":[0.000088663,0.0020699645,0.01616495,0.00026280878,0.00017985252,0.008441058,0.0008117381,0.056443166,0.8524542,0.0059832754,0.056955725,0.00014465151],"about_ca_topic_score_codex":0.00026271128,"about_ca_topic_score_gemma":0.00039771132,"teacher_disagreement_score":0.0016863245,"about_ca_system_score_codex":0.00012828349,"about_ca_system_score_gemma":0.00016541996,"threshold_uncertainty_score":0.005641341},"labels":[],"label_agreement":null},{"id":"W1916733417","doi":"10.1149/1.3018745","title":"Performance of Lithium Ion Cell Anode Graphites Under Various Cycling Conditions","year":2008,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec","funders":"U.S. Department of Energy","keywords":"Anode; Cycling; Lithium (medication); Materials science; Ion; Voltage; Electrode; Composite material; Chemical engineering; Chemistry; Electrical engineering; Engineering","score_opus":0.015934561961058785,"score_gpt":0.23608856106267068,"score_spread":0.2201539991016119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1916733417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99732286,0.0009849166,0.000341563,0.000025400035,0.000013992012,0.000013110828,0.0004249231,0.00005923848,0.00081408303],"genre_scores_gemma":[0.99584097,0.0010122791,0.00087158364,0.000023839215,0.00000687113,0.000021150527,0.00073641713,0.000026485073,0.0014603834],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99954176,0.00008375187,0.000052925665,0.00006852474,0.00015951683,0.00009348312],"domain_scores_gemma":[0.9995413,0.00013499205,0.000028527833,0.000036419413,0.0002008416,0.000057928606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005831031,0.0005694985,0.00054528547,0.000889807,0.0005125556,0.00050735235,0.00043119685,0.00072357355,0.001733122],"category_scores_gemma":[0.0009848858,0.00020600171,0.00027266366,0.0007450677,0.0002460831,0.0004196107,0.00031340125,0.00029622868,0.00043032813],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012591248,0.000064728636,0.0021345026,0.00025247823,0.000023912648,0.00019742032,0.00019317235,0.0009796115,0.983844,0.000081126214,0.000121988065,0.010847872],"study_design_scores_gemma":[0.0000141930295,0.00095111283,0.0050606574,0.00002185448,0.00002986048,0.00013388948,0.00009709865,0.0014198568,0.99125636,0.000042098465,0.00095128606,0.000021711721],"about_ca_topic_score_codex":0.0029198923,"about_ca_topic_score_gemma":0.004438042,"teacher_disagreement_score":0.0029198923,"about_ca_system_score_codex":0.00041301813,"about_ca_system_score_gemma":0.000460411,"threshold_uncertainty_score":0.00580585},"labels":[],"label_agreement":null},{"id":"W1922053621","doi":"10.1109/elinsl.1994.401430","title":"Rape seed oil derivative as a new capacitor impregnant","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Central Power Research Institute","keywords":"Context (archaeology); Chemistry; Petroleum; Triglyceride; Erucic acid; Transesterification; Methanol; Oleic acid; Capacitor; Organic chemistry; Petroleum ether; Vegetable oil; Pulp and paper industry; Fatty acid; Engineering; Biology; Biochemistry; Extraction (chemistry)","score_opus":0.023844635089291577,"score_gpt":0.24068003812607888,"score_spread":0.2168354030367873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1922053621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92037,0.023005616,0.027518438,0.0004839439,0.00028260198,0.00025674896,0.00060694345,0.0007419196,0.026733788],"genre_scores_gemma":[0.93739426,0.009226636,0.025759637,0.00015464038,0.000029782239,0.0000531696,0.00046283027,0.00008406,0.026834967],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998311,0.000020259013,0.0000114292825,0.000026008078,0.00009245583,0.00001873774],"domain_scores_gemma":[0.999918,0.000013626811,0.000023524011,0.000006358201,0.000019377081,0.000019133113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010458576,0.00039638017,0.0001708161,0.0004621494,0.00013497334,0.00028598544,0.0003661551,0.00035826192,0.0015713531],"category_scores_gemma":[0.00017788807,0.0001344154,0.0002089817,0.00032034653,0.00013628237,0.0003557873,0.00025182345,0.00032578353,0.00066570105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008411384,0.000022764263,0.0001032734,0.00019521518,0.0000066962243,0.00029644548,0.000023791648,0.00015490419,0.98972344,0.00018301922,0.00013378548,0.009072516],"study_design_scores_gemma":[0.0000034846275,0.00024231181,0.00034836977,0.000009518183,0.000013611121,0.00039211207,0.000013194741,0.0002602526,0.99008065,0.000013079991,0.008616694,0.0000066959265],"about_ca_topic_score_codex":0.0006952424,"about_ca_topic_score_gemma":0.0014171231,"teacher_disagreement_score":0.0015713531,"about_ca_system_score_codex":0.00018194057,"about_ca_system_score_gemma":0.00017115782,"threshold_uncertainty_score":0.0052567124},"labels":[],"label_agreement":null},{"id":"W1924285302","doi":"10.1109/ecce.2015.7310150","title":"A D-Q rotating frame DC-bus voltage controller for bi-directional single-phase AC/DC converters","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Control theory (sociology); Ripple; Controller (irrigation); Converters; Computer science; Reference frame; Three-phase; AC power; Transient (computer programming); Voltage; Engineering; Electronic engineering; Frame (networking); Electrical engineering","score_opus":0.04795904996032215,"score_gpt":0.31029077500905194,"score_spread":0.2623317250487298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1924285302","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011511893,0.0007040841,0.97764677,0.00013985297,0.00036160043,0.00016356642,0.000056120964,0.0013097556,0.00810632],"genre_scores_gemma":[0.75808436,0.00088751246,0.22887868,0.00032241832,0.00025147898,0.0003333742,0.00018733996,0.000101084785,0.010953725],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997358,0.000037933743,0.000025023632,0.000062373,0.00012413737,0.000014668872],"domain_scores_gemma":[0.99979407,0.000027761736,0.00002494101,0.000027329037,0.00011496796,0.000010884848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025899496,0.00040441923,0.00030385627,0.0003732583,0.00042328634,0.00069513405,0.00079023145,0.00044503086,0.0031890632],"category_scores_gemma":[0.00046568978,0.00014312075,0.00020339264,0.00034980557,0.00023108591,0.00041485144,0.00021756953,0.0006289512,0.0011648168],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004349723,0.00028125104,0.00074173487,0.0007120216,0.000078665376,0.00035672006,0.00021894903,0.027588231,0.23992246,0.025838107,0.008341459,0.69548535],"study_design_scores_gemma":[0.0003105121,0.0017305693,0.0020944942,0.00011145872,0.00009942192,0.0010968264,0.000055895987,0.7473622,0.14742568,0.0037342543,0.09588504,0.00009365925],"about_ca_topic_score_codex":0.0010802648,"about_ca_topic_score_gemma":0.0012355838,"teacher_disagreement_score":0.0031890632,"about_ca_system_score_codex":0.00027289797,"about_ca_system_score_gemma":0.00039262316,"threshold_uncertainty_score":0.010668457},"labels":[],"label_agreement":null},{"id":"W1943647968","doi":"10.1109/ecce.2015.7309848","title":"Implementation of a bidirectional DC-DC in electric powertrains for drive cycles used by medium duty delivery trucks","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Powertrain; Automotive engineering; Pulse-width modulation; Inverter; Truck; Duty cycle; Context (archaeology); Battery (electricity); Computer science; Voltage; Motor drive; DC motor; Torque; Electrical engineering; Power (physics); Engineering; Physics","score_opus":0.025708863850444415,"score_gpt":0.3167087658751648,"score_spread":0.29099990202472037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1943647968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7363135,0.00061383244,0.22230293,0.0002526923,0.00014961803,0.00034677793,0.0006213071,0.0018253484,0.037573937],"genre_scores_gemma":[0.98163027,0.00012890677,0.012698011,0.00002939884,0.000005695601,0.000052163523,0.00019084445,0.000043806027,0.0052208067],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998128,0.00001836293,0.000013324669,0.000034337045,0.00009132458,0.00002995293],"domain_scores_gemma":[0.9997837,0.00003568062,0.000019188577,0.000038211077,0.00011196222,0.000011326908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016387468,0.00026750145,0.00022155978,0.00042642915,0.00030711966,0.0005938609,0.0005810889,0.00026493057,0.0036880546],"category_scores_gemma":[0.00040704486,0.00013221383,0.00014025794,0.00048761276,0.00016792072,0.0005670689,0.0002588787,0.00030463768,0.00097904],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081742083,0.00068466907,0.012992825,0.0009500069,0.0000570782,0.00046880354,0.00041544507,0.018437307,0.4467896,0.006718719,0.003991909,0.50767624],"study_design_scores_gemma":[0.00014101427,0.0022116974,0.03094685,0.000117800475,0.000081399965,0.0011711668,0.0005949102,0.08327621,0.779107,0.0025481123,0.09971158,0.000092437884],"about_ca_topic_score_codex":0.0016438689,"about_ca_topic_score_gemma":0.00339679,"teacher_disagreement_score":0.0036880546,"about_ca_system_score_codex":0.00030918466,"about_ca_system_score_gemma":0.00037729516,"threshold_uncertainty_score":0.012337804},"labels":[],"label_agreement":null},{"id":"W1951548195","doi":"10.1109/intlec.1998.793623","title":"Progress in lithium polymer battery development for telecommunication system","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Battery (electricity); Flexibility (engineering); Energy storage; Electrical engineering; Computer science; Lithium battery; Power (physics); Engineering","score_opus":0.028744583828331446,"score_gpt":0.2641950909333428,"score_spread":0.23545050710501136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1951548195","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21662858,0.28456303,0.28909057,0.0077719702,0.0018775723,0.0005495258,0.0008907826,0.0027387997,0.1958892],"genre_scores_gemma":[0.42552722,0.303109,0.13710698,0.0014737415,0.0010310385,0.000476406,0.0014802793,0.0008133718,0.12898189],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993079,0.000099684235,0.000059604383,0.00011865352,0.00035454865,0.000059736863],"domain_scores_gemma":[0.9991037,0.00016432734,0.000054968175,0.000060943643,0.00055626285,0.000059683727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016194684,0.00050822046,0.00049675157,0.0012874384,0.00046138366,0.0018600497,0.0010841211,0.0009007972,0.0064618117],"category_scores_gemma":[0.0012284986,0.0002802099,0.00047648707,0.0015673117,0.00035148265,0.002112987,0.0006746192,0.00091598375,0.0034592063],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020029575,0.00020496253,0.0023632827,0.0021144473,0.000041875144,0.00030565346,0.00054094294,0.00251484,0.12688264,0.01759741,0.008278384,0.83895516],"study_design_scores_gemma":[0.000057078756,0.0014219874,0.0019855895,0.00046682032,0.00008788975,0.001493706,0.00034296917,0.0056661475,0.32881495,0.0024555498,0.6571324,0.00007487842],"about_ca_topic_score_codex":0.0009737525,"about_ca_topic_score_gemma":0.00073829695,"teacher_disagreement_score":0.0064618117,"about_ca_system_score_codex":0.00085801596,"about_ca_system_score_gemma":0.0014788801,"threshold_uncertainty_score":0.021616876},"labels":[],"label_agreement":null},{"id":"W1956607507","doi":"10.1109/apec.1997.575659","title":"A current link AC to AC power supply with sinusoidal input/output current","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Current (fluid); Power (physics); Electrical engineering; Alternating current; Computer science; Link (geometry); Electronic engineering; AC power; Power factor; AC adapter; Voltage; Engineering; Physics","score_opus":0.02311373973798629,"score_gpt":0.2688707337804234,"score_spread":0.24575699404243712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1956607507","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13906157,0.0009709539,0.79363173,0.0013909639,0.0011552157,0.0017943815,0.0012444155,0.013643452,0.047107354],"genre_scores_gemma":[0.8735649,0.0007047492,0.09818368,0.0006785342,0.00040463856,0.0006785145,0.0010566304,0.0002537886,0.024474451],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994905,0.00006574701,0.000043752865,0.00011923926,0.00024600205,0.000034673012],"domain_scores_gemma":[0.9996623,0.000047747344,0.000031988315,0.000050041937,0.00016378993,0.00004424633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024244886,0.00037823638,0.00054950826,0.00069443457,0.00081745366,0.0007955434,0.0015281062,0.0007731071,0.012206431],"category_scores_gemma":[0.00049896236,0.00023052101,0.00020813338,0.0009862849,0.00037657272,0.0010264551,0.00056197075,0.00065552077,0.0052418443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011047887,0.0006243748,0.004062485,0.0030816302,0.00011905701,0.0023857122,0.00074672524,0.005755187,0.55521375,0.021385087,0.028479146,0.377042],"study_design_scores_gemma":[0.0007601565,0.0067959386,0.008921944,0.00037072852,0.0003591232,0.00860845,0.00039965208,0.1166639,0.5913541,0.0082729,0.25726092,0.00023229053],"about_ca_topic_score_codex":0.00035122642,"about_ca_topic_score_gemma":0.00042547227,"teacher_disagreement_score":0.012206431,"about_ca_system_score_codex":0.00028028473,"about_ca_system_score_gemma":0.0004698116,"threshold_uncertainty_score":0.040834606},"labels":[],"label_agreement":null},{"id":"W1958839546","doi":"10.1504/ijpse.2015.071431","title":"Automotive underbody diffuser for battery thermal management","year":2015,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Diffuser (optics); Battery pack; Battery (electricity); Automotive engineering; Aerodynamic drag; Range (aeronautics); Aerodynamics; Air cooling; Thermal; Automotive industry; Engineering; Marine engineering; Environmental science; Electrical engineering; Mechanical engineering; Aerospace engineering; Meteorology; Physics; Power (physics)","score_opus":0.023435331663167535,"score_gpt":0.29061715892327733,"score_spread":0.2671818272601098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1958839546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90625256,0.00096140295,0.0765793,0.00013558038,0.00011006368,0.000061001632,0.0001290106,0.0004968954,0.015274215],"genre_scores_gemma":[0.9927492,0.00021808811,0.0028871489,0.000020589225,0.000010717559,0.0000108939175,0.00006860634,0.000024962383,0.004009591],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998548,0.000017860722,0.0000034293112,0.000023656943,0.000065927656,0.000034267334],"domain_scores_gemma":[0.99991786,0.000014822235,0.000011632319,0.000016361064,0.00002756261,0.000011776129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011525065,0.00028413112,0.00041245593,0.00022375767,0.00035667807,0.0005020933,0.00045634116,0.0003402337,0.0024697268],"category_scores_gemma":[0.00017133696,0.00010246328,0.00037249297,0.00014863469,0.00023638067,0.0006480557,0.00047005218,0.0003018228,0.0007160082],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000976283,0.00023461615,0.016725417,0.0006253472,0.00008351824,0.0015194668,0.000627645,0.1537778,0.6467118,0.005491718,0.0034350073,0.16979134],"study_design_scores_gemma":[0.00010385248,0.0019391051,0.026791675,0.000074101765,0.00018914313,0.001743695,0.0012300878,0.44582108,0.4627514,0.0021729444,0.05710144,0.00008146656],"about_ca_topic_score_codex":0.001436222,"about_ca_topic_score_gemma":0.0028508732,"teacher_disagreement_score":0.0024697268,"about_ca_system_score_codex":0.00023566191,"about_ca_system_score_gemma":0.00023097027,"threshold_uncertainty_score":0.008262038},"labels":[],"label_agreement":null},{"id":"W1965322471","doi":"10.1149/2.0711504jes","title":"Model-Based Prediction of Composition of an Unknown Blended Lithium-Ion Battery Cathode","year":2015,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Electrode; Cathode; Deconvolution; Electrochemistry; Materials science; Ion; Lithium-ion battery; Analytical Chemistry (journal); Composition (language); Lithium (medication); Work (physics); Power (physics); Chemistry; Computer science; Thermodynamics; Algorithm; Physics; Chromatography","score_opus":0.021354764938481857,"score_gpt":0.26259472319459837,"score_spread":0.24123995825611652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965322471","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2798839,0.00023722071,0.7155782,0.00012327815,0.000024409343,0.00007599874,0.0003638027,0.0010952103,0.002617955],"genre_scores_gemma":[0.9474315,0.00020055896,0.050550483,0.000028437173,0.0000044560197,0.000105582774,0.00023508216,0.000063331994,0.0013805872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999119,0.000012893495,0.0000060372645,0.000022880164,0.000040338717,0.0000059491945],"domain_scores_gemma":[0.9998147,0.0000839828,0.000024895919,0.00002083048,0.000049805112,0.000005833888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026624245,0.00052796304,0.00047590034,0.00031991315,0.0002326653,0.0005783574,0.0005989065,0.00066164194,0.00065406796],"category_scores_gemma":[0.001072218,0.0003328961,0.00038412376,0.00018196712,0.00022155473,0.0008345374,0.00026475708,0.00048251872,0.000325745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010150478,0.00006512123,0.003103327,0.00008833383,0.000027954737,0.00008316528,0.000049871265,0.89633733,0.07850753,0.0011799587,0.00015983252,0.020295944],"study_design_scores_gemma":[0.000004540346,0.000017219401,0.00037152553,0.000002198975,0.0000051222723,0.000018620442,0.000005283248,0.9873728,0.011634736,0.00038385112,0.00017959994,0.0000044494163],"about_ca_topic_score_codex":0.0022540295,"about_ca_topic_score_gemma":0.0030445592,"teacher_disagreement_score":0.0022540295,"about_ca_system_score_codex":0.0006188113,"about_ca_system_score_gemma":0.0005959956,"threshold_uncertainty_score":0.004489839},"labels":[],"label_agreement":null},{"id":"W1966217235","doi":"10.1016/s1385-8947(02)00123-7","title":"Comment on “Pressure drop and flow regime in cocurrent gas–liquid upflow through packed beds” [Chem. Eng. J. 88 (2002) 233–243]","year":2002,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Pressure drop; Grid; Current (fluid); Diagonal; Electrolyte; Lead–acid battery; Flow (mathematics); Current density; Materials science; Electrode; Drop (telecommunication); Voltage drop; Mechanics; Computer simulation; Computer science; Simulation; Battery (electricity); Electrical engineering; Chemistry; Engineering; Thermodynamics; Physics; Mathematics; Power (physics)","score_opus":0.016435917744126127,"score_gpt":0.23568010546348692,"score_spread":0.2192441877193608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966217235","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00131228,0.0029661318,0.0009598831,0.8862983,0.10312228,0.00005789648,0.0006692254,0.0004299763,0.00418389],"genre_scores_gemma":[0.005336089,0.0015330557,0.00061687676,0.9534738,0.030395437,0.00009261799,0.00016511967,0.00006440387,0.00832251],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99452955,0.000487266,0.0007767124,0.0011203745,0.0024879337,0.00059818936],"domain_scores_gemma":[0.9868711,0.0063828113,0.0012509929,0.00055440067,0.004138863,0.0008017907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00535174,0.0018214823,0.0020086926,0.001098166,0.004279596,0.0026606875,0.0061659724,0.045276154,0.008898518],"category_scores_gemma":[0.022422755,0.0013658447,0.0028070202,0.001147065,0.0052111573,0.004231652,0.0021350433,0.03137017,0.012824026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019499984,0.000036519414,0.0002887256,0.00018141746,0.000037966434,0.0008304127,0.00012787974,0.00020260153,0.0014115704,0.0027862813,0.98987234,0.0040292027],"study_design_scores_gemma":[0.00027577707,0.0002631453,0.0039175553,0.0003603173,0.00012409034,0.00094743655,0.00038630626,0.0010718692,0.0070594857,0.013736047,0.9716001,0.0002578571],"about_ca_topic_score_codex":0.015106985,"about_ca_topic_score_gemma":0.011814101,"teacher_disagreement_score":0.045276154,"about_ca_system_score_codex":0.0043627615,"about_ca_system_score_gemma":0.0037267774,"threshold_uncertainty_score":0.03165418},"labels":[],"label_agreement":null},{"id":"W1966639071","doi":"10.1016/j.ijhydene.2013.11.136","title":"Tracking maximum efficiency of hydrogen genset used as electric vehicle range extender","year":2014,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Context (archaeology); Computer science; Range (aeronautics); Automotive engineering; Fuel efficiency; Gasoline; Electric vehicle; Control theory (sociology); Power (physics); Materials science; Engineering; Physics","score_opus":0.013522180856828435,"score_gpt":0.2649021810629901,"score_spread":0.2513800002061617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966639071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9747899,0.0007489338,0.017751893,0.00006647285,0.000047181016,0.000022957687,0.00015942086,0.0002959424,0.0061173784],"genre_scores_gemma":[0.9967573,0.000092254704,0.00090358383,0.000009837601,0.0000026556193,0.000005873628,0.0000407047,0.000007915673,0.0021799537],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998869,0.000011575213,0.0000043929144,0.000032913573,0.000046235236,0.000017974606],"domain_scores_gemma":[0.99990404,0.000028654227,0.000015441057,0.000011964217,0.000035322762,0.0000046004393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017737385,0.0003092504,0.00037794354,0.00028177176,0.00026901043,0.00028152176,0.00045058117,0.00036161832,0.0015313938],"category_scores_gemma":[0.00015272421,0.000118275726,0.00020551831,0.00022738239,0.00011047162,0.00030014582,0.00017730705,0.00013897681,0.00037326416],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023878582,0.00009215008,0.009164004,0.000354073,0.00005316246,0.00023725,0.00018993199,0.015804853,0.8948887,0.00076458545,0.00086935353,0.07519406],"study_design_scores_gemma":[0.00002774499,0.0007321158,0.0135539,0.000019872445,0.00006154192,0.00015594083,0.000094961055,0.07046556,0.91109,0.00017131797,0.0036117407,0.000015362975],"about_ca_topic_score_codex":0.0005168989,"about_ca_topic_score_gemma":0.0007397735,"teacher_disagreement_score":0.0015313938,"about_ca_system_score_codex":0.00023313964,"about_ca_system_score_gemma":0.00010286967,"threshold_uncertainty_score":0.005123019},"labels":[],"label_agreement":null},{"id":"W1966661620","doi":"10.3141/2454-12","title":"Assessment of Level 1 and Level 2 Electric Vehicle Charging Efficiency","year":2014,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environmental Studies Association of Canada","funders":"","keywords":"Electrification; Incentive; Electric vehicle; Electricity; Software deployment; Efficient energy use; Volt; Environmental economics; Business; Incentive program; Automotive engineering; Transport engineering; Electrical engineering; Computer science; Voltage; Engineering; Power (physics); Economics; Physics","score_opus":0.089379123080844,"score_gpt":0.3758493003067113,"score_spread":0.2864701772258673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966661620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9846073,0.00010372513,0.0027607814,0.000049575676,0.0000065129934,0.00010711707,0.0024800207,0.000085948275,0.009799121],"genre_scores_gemma":[0.99398357,0.000081199934,0.0012070099,0.000023220637,0.000004984655,0.000060296876,0.002741401,0.000024679233,0.001873723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998733,0.00020583392,0.00010332001,0.00015809701,0.0006419416,0.00015774972],"domain_scores_gemma":[0.99566096,0.0011441241,0.000862019,0.00032973374,0.0017930844,0.00021007359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016650781,0.00038810362,0.00032114403,0.0021864874,0.00025729722,0.0012541398,0.0006503732,0.0005310129,0.0039541055],"category_scores_gemma":[0.005725565,0.00018057246,0.00090282597,0.0017368376,0.00023670903,0.001209963,0.0006781836,0.0003301691,0.00095827907],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001170634,0.0003221349,0.89592856,0.00017040643,0.00032381652,0.00023927563,0.00044200633,0.024898486,0.004372499,0.00076705276,0.0021208948,0.069244236],"study_design_scores_gemma":[0.000026871045,0.00089377904,0.9768784,0.000029142187,0.00008221967,0.0002885641,0.00054839486,0.013728438,0.0033739943,0.00041390976,0.0036862008,0.000050079165],"about_ca_topic_score_codex":0.0051468476,"about_ca_topic_score_gemma":0.005475633,"teacher_disagreement_score":0.0051468476,"about_ca_system_score_codex":0.00091687916,"about_ca_system_score_gemma":0.00034256568,"threshold_uncertainty_score":0.01322782},"labels":[],"label_agreement":null},{"id":"W1967199776","doi":"10.1109/pesmg.2013.6672772","title":"A DC distribution system for power system integration of Plug-In Hybrid Electric Vehicles","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Western University","funders":"","keywords":"Battery (electricity); Grid; Electrical engineering; Photovoltaic system; Computer science; Power (physics); Voltage; Electric power system; Battery charger; Plug-in; Plug and play; Engineering; Automotive engineering; Physics","score_opus":0.009328421446536433,"score_gpt":0.233467351675469,"score_spread":0.22413893022893258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967199776","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011323148,0.0005258749,0.952993,0.00036434768,0.0003365362,0.00030240818,0.00040082663,0.0031120696,0.03064181],"genre_scores_gemma":[0.7865646,0.0014702542,0.16716814,0.00025532415,0.00025599563,0.00043620827,0.0010127934,0.00020693034,0.042629745],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998393,0.000034876233,0.000012335143,0.00003796829,0.00006251048,0.000013135651],"domain_scores_gemma":[0.99980754,0.000017568706,0.0000152528255,0.000021751239,0.00012309985,0.000014733073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001406561,0.0005239574,0.0003508944,0.0004930901,0.000910455,0.0010182633,0.0008383172,0.0003766806,0.0072393334],"category_scores_gemma":[0.00030464903,0.00015314156,0.0001873169,0.00074658834,0.00020591394,0.0006657518,0.00045996837,0.0005120377,0.0024660456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000300691,0.00028792015,0.003690483,0.0008965659,0.000087318826,0.0008732999,0.0002450001,0.12720877,0.06441454,0.18377458,0.05933062,0.55889016],"study_design_scores_gemma":[0.000082391736,0.00048762516,0.0011120508,0.00010579833,0.000101363185,0.0012039627,0.00010737108,0.65641713,0.033779074,0.0137182055,0.29282472,0.00006024684],"about_ca_topic_score_codex":0.0028470533,"about_ca_topic_score_gemma":0.0033979395,"teacher_disagreement_score":0.0072393334,"about_ca_system_score_codex":0.00082448096,"about_ca_system_score_gemma":0.0008055427,"threshold_uncertainty_score":0.024218023},"labels":[],"label_agreement":null},{"id":"W1967835228","doi":"10.1109/ccece.2010.5575232","title":"Design and implementation of a bidirectional HEV energy management strategy using a switched capacitor Luo converter","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Switched capacitor; Capacitor; Ripple; Power electronics; Voltage; Electrical engineering; Computer science; Energy management; Power management; Boost converter; Power (physics); Automotive engineering; Engineering; Energy (signal processing); Physics","score_opus":0.025677677756710118,"score_gpt":0.29148764471284266,"score_spread":0.26580996695613257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967835228","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23265937,0.00044503994,0.7224422,0.00028183145,0.0001716804,0.00036952275,0.00012878432,0.002355064,0.041146606],"genre_scores_gemma":[0.96380913,0.00013275979,0.028617635,0.000066016226,0.00002243811,0.00010656119,0.00004666466,0.00002047997,0.007178302],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999068,0.000010199269,0.0000055871296,0.000018224488,0.00004429571,0.000014851092],"domain_scores_gemma":[0.9999397,0.0000071296586,0.0000070552974,0.0000063707757,0.00003174092,0.000008122146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009149243,0.00023431114,0.00021355419,0.00022122309,0.0003412768,0.0005953778,0.00066642597,0.0002583535,0.0022530453],"category_scores_gemma":[0.00009088911,0.0001118481,0.00014356893,0.00015318333,0.0001342275,0.00028348767,0.00018323462,0.00029194844,0.00050840795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005515119,0.000337944,0.0017681223,0.00034441845,0.000081284954,0.00041382946,0.00020200525,0.026058152,0.59628826,0.011864098,0.0031510163,0.35893935],"study_design_scores_gemma":[0.0003215011,0.0014145832,0.0038682756,0.00005552983,0.00011916933,0.000690897,0.00018570219,0.50252455,0.4511123,0.0023418127,0.037284587,0.00008114167],"about_ca_topic_score_codex":0.0012334795,"about_ca_topic_score_gemma":0.0015758977,"teacher_disagreement_score":0.0022530453,"about_ca_system_score_codex":0.00023587098,"about_ca_system_score_gemma":0.00044764963,"threshold_uncertainty_score":0.0075372458},"labels":[],"label_agreement":null},{"id":"W1968608436","doi":"10.1109/apec.2014.6803684","title":"Designing and testing battery charger systems for California's new efficiency regulations","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Delta-Q Technologies (Canada)","funders":"","keywords":"Battery (electricity); Efficient energy use; Software; Battery charger; Test (biology); Engineering; Lead–acid battery; Greenhouse gas; Automotive engineering; Reliability engineering; Computer science; Systems engineering; Electrical engineering; Embedded system; Operating system","score_opus":0.03459914031214916,"score_gpt":0.2576241017793523,"score_spread":0.22302496146720313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968608436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7489897,0.0014099159,0.1754763,0.0016355943,0.00028174729,0.0016271361,0.0012347142,0.007574196,0.06177079],"genre_scores_gemma":[0.8814965,0.00071391335,0.10135826,0.000293124,0.00004284262,0.0006164345,0.0013700221,0.0004253152,0.013683568],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974331,0.0002994747,0.000155822,0.00024672932,0.0017225419,0.00014241396],"domain_scores_gemma":[0.9971174,0.0006334234,0.00014108486,0.0004934758,0.0015236395,0.00009097134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029852323,0.00041958332,0.0003857338,0.0005678745,0.001296836,0.001425317,0.0016910029,0.00063318695,0.0031388034],"category_scores_gemma":[0.0041754595,0.00031951262,0.00031037309,0.0003797864,0.0006267644,0.0013150615,0.0005646855,0.0007002412,0.000695718],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092156685,0.0013354954,0.04007193,0.0016676451,0.00013056147,0.0005666385,0.0024411466,0.10186868,0.30986187,0.021731839,0.031876527,0.48752615],"study_design_scores_gemma":[0.0009879848,0.007236053,0.0777335,0.00043017315,0.00035410398,0.0009844418,0.0026344203,0.17459787,0.43324623,0.0057499614,0.2956832,0.0003620613],"about_ca_topic_score_codex":0.018489514,"about_ca_topic_score_gemma":0.035487566,"teacher_disagreement_score":0.018489514,"about_ca_system_score_codex":0.001648337,"about_ca_system_score_gemma":0.0022729393,"threshold_uncertainty_score":0.036763787},"labels":[],"label_agreement":null},{"id":"W1971662799","doi":"10.1149/2.094310jes","title":"Simulating High Current Discharges of Power Optimized Li-Ion Cells","year":2013,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"E-One Moli Energy (Canada)","funders":"","keywords":"Stack (abstract data type); Voltage; Range (aeronautics); Ion; Power (physics); Capacitance; Current (fluid); Materials science; Atmospheric temperature range; Thermal; Computational physics; Set (abstract data type); Analytical Chemistry (journal); Nuclear engineering; Thermodynamics; Chemistry; Computer science; Electrical engineering; Physics; Engineering; Electrode; Composite material","score_opus":0.007244806876188468,"score_gpt":0.24559026933407294,"score_spread":0.23834546245788446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971662799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.978049,0.00008761431,0.014926064,0.00009514498,0.000014514152,0.000036907004,0.0009822529,0.00026691728,0.0055416925],"genre_scores_gemma":[0.99511683,0.00006393051,0.00296335,0.000017366341,0.000003376149,0.000043338892,0.0004886423,0.000047431255,0.0012557578],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998901,0.000014911328,0.000005589008,0.00001580133,0.00004262939,0.000030912524],"domain_scores_gemma":[0.9997576,0.00011526951,0.000019795942,0.000026975935,0.00006179802,0.000018534083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020959771,0.00044456447,0.00061729155,0.00032614556,0.00035011568,0.0005245261,0.0011108038,0.0008034173,0.0020431925],"category_scores_gemma":[0.00074094534,0.00034290474,0.0005357522,0.00066354586,0.0004166811,0.0005082401,0.00032600752,0.0005591841,0.00020555261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053572538,0.000022910363,0.0010377045,0.00002466957,0.000014350768,0.00007988582,0.000041303043,0.99174553,0.0050064796,0.0004914339,0.00018215625,0.0013000577],"study_design_scores_gemma":[0.000015545049,0.000049683804,0.0008163754,0.0000022009733,0.000005652882,0.000015104905,0.000023692026,0.99494934,0.0036673134,0.00025102487,0.00019760017,0.000006509345],"about_ca_topic_score_codex":0.012065595,"about_ca_topic_score_gemma":0.008149659,"teacher_disagreement_score":0.012065595,"about_ca_system_score_codex":0.0012441219,"about_ca_system_score_gemma":0.00085063255,"threshold_uncertainty_score":0.02399069},"labels":[],"label_agreement":null},{"id":"W1972473550","doi":"10.1109/itec.2012.6243415","title":"Range prediction for a three-wheel plug-in hybrid electric vehicle","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Range (aeronautics); Automotive engineering; Electric vehicle; Plug-in; Computer science; Battery electric vehicle; Driving cycle; Mode (computer interface); Single-phase electric power; Topology (electrical circuits); Engineering; Electrical engineering; Voltage; Power (physics); Physics; Aerospace engineering","score_opus":0.019471705403168473,"score_gpt":0.2549592509209867,"score_spread":0.23548754551781823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972473550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77651757,0.00036636996,0.21890233,0.00017626131,0.000024166817,0.000030619372,0.00025584846,0.00038861248,0.0033382794],"genre_scores_gemma":[0.9975533,0.000036688478,0.0019094476,0.0000049184137,0.0000026274427,0.000007937875,0.000069269496,0.0000076389215,0.00040819246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999473,0.000012515459,0.0000019927725,0.000012715883,0.0000120752275,0.000013342333],"domain_scores_gemma":[0.99972004,0.00019353423,0.000021378193,0.000009626923,0.000041375217,0.00001408172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020442015,0.00033174732,0.0002966959,0.00025808046,0.00017642742,0.00028413138,0.00028479123,0.00038758345,0.00078516296],"category_scores_gemma":[0.0007140825,0.00014609266,0.00021677562,0.00018909581,0.00017106759,0.0003161821,0.00026022317,0.0003804804,0.00014209205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049915867,0.0000114788745,0.0012919039,0.000010261248,0.000004877033,0.000023160384,0.00001033185,0.9935207,0.0010093866,0.00019970842,0.00008597383,0.0037822805],"study_design_scores_gemma":[0.0000011658567,0.0000063011676,0.00035662885,6.181623e-7,7.753196e-7,0.0000025772683,0.000003342726,0.9993267,0.00018457329,0.00009752169,0.00001850076,0.0000013192356],"about_ca_topic_score_codex":0.016029004,"about_ca_topic_score_gemma":0.007149748,"teacher_disagreement_score":0.016029004,"about_ca_system_score_codex":0.00026879966,"about_ca_system_score_gemma":0.00022305326,"threshold_uncertainty_score":0.03187138},"labels":[],"label_agreement":null},{"id":"W1973122888","doi":"10.2316/journal.203.2009.2.203-4185","title":"PER-PHASE SWITCHED-CAPACITOR POWER CONDITIONER WITH A NEW CONTROL STRATEGY","year":2009,"lang":"en","type":"article","venue":"International Journal of Power and Energy Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Switched capacitor; Capacitor; Control theory (sociology); Power (physics); Voltage; Nonlinear system; Decoupling capacitor; Control (management); Electrical engineering; Computer science; Engineering; Physics; Artificial intelligence","score_opus":0.00901815759857032,"score_gpt":0.2645787910547048,"score_spread":0.25556063345613445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973122888","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029227948,0.00066377316,0.959963,0.00029885944,0.00045792156,0.00017057236,0.00006220239,0.0020448675,0.007110809],"genre_scores_gemma":[0.7802957,0.00067548343,0.19973236,0.00039602464,0.0005655176,0.00023121377,0.00012422797,0.000078296114,0.017901085],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99968123,0.000021398555,0.000024676465,0.00007537473,0.00017775616,0.00001949909],"domain_scores_gemma":[0.99977726,0.000041322455,0.00003793358,0.000031419204,0.00008916275,0.000022921415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020683325,0.0005342252,0.00040765337,0.00045778544,0.00029486432,0.0006806396,0.0012934654,0.00058730866,0.004093968],"category_scores_gemma":[0.0003331787,0.00015136981,0.00019125434,0.00043001465,0.0003703098,0.0007857019,0.0002821968,0.00088494737,0.00061612856],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005815889,0.00037204527,0.00038517173,0.00057033316,0.00007616489,0.00028322125,0.00017560134,0.017308982,0.3452845,0.022425922,0.006229172,0.6063074],"study_design_scores_gemma":[0.0006594342,0.0018887331,0.001986248,0.00006278443,0.0001612772,0.00130285,0.00004325856,0.664547,0.2509937,0.0048208325,0.07341587,0.000118105505],"about_ca_topic_score_codex":0.00078276265,"about_ca_topic_score_gemma":0.0012607685,"teacher_disagreement_score":0.004093968,"about_ca_system_score_codex":0.00028452094,"about_ca_system_score_gemma":0.000391105,"threshold_uncertainty_score":0.013695717},"labels":[],"label_agreement":null},{"id":"W1973528056","doi":"10.1149/1.3625232","title":"Interpreting High Precision Coulometry Results on Li-ion Cells","year":2011,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":302,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coulometry; Electrolyte; Faraday efficiency; Graphite; Electrode; Dissolution; Materials science; Ion; Analytical Chemistry (journal); Chemistry; Inorganic chemistry; Electrochemistry; Metallurgy; Physical chemistry; Chromatography","score_opus":0.012264953208178801,"score_gpt":0.2463957500532287,"score_spread":0.2341307968450499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973528056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6299346,0.0013903172,0.35156393,0.00040104723,0.00035046609,0.000374891,0.0030175254,0.0037530651,0.009214164],"genre_scores_gemma":[0.90498155,0.00043571167,0.0918042,0.00023412175,0.00004624344,0.00011355145,0.00087074423,0.00014945585,0.0013644145],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9973585,0.0004743609,0.00026582653,0.00026778833,0.0014959754,0.00013752352],"domain_scores_gemma":[0.99440974,0.0022493694,0.0004166208,0.0010585652,0.00181712,0.000048449325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029314111,0.0006606467,0.0007532261,0.0027064737,0.00046772065,0.0016655567,0.00094929215,0.0007946948,0.0013194814],"category_scores_gemma":[0.011096068,0.00028809565,0.0002644725,0.0030829592,0.00045151415,0.0007110318,0.000617833,0.00048197052,0.0006204004],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087737205,0.00016171497,0.11852186,0.0011220031,0.0002537165,0.0015321886,0.0014716025,0.02622143,0.5499311,0.0040269396,0.0068148267,0.2890653],"study_design_scores_gemma":[0.00006155544,0.00047438536,0.10710501,0.00015033517,0.00020921354,0.0013838679,0.0011460852,0.15528654,0.7058538,0.009864356,0.018279303,0.00018556516],"about_ca_topic_score_codex":0.0023727585,"about_ca_topic_score_gemma":0.0029853513,"teacher_disagreement_score":0.0029314111,"about_ca_system_score_codex":0.00066921493,"about_ca_system_score_gemma":0.00032461842,"threshold_uncertainty_score":0.015502989},"labels":[],"label_agreement":null},{"id":"W1973827251","doi":"10.4271/2014-01-1865","title":"Physics-Based Models, Sensitivity Analysis, and Optimization of Automotive Batteries","year":2014,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automotive industry; Sensitivity (control systems); Computer science; Engineering; Aerospace engineering; Electronic engineering","score_opus":0.01212832628112589,"score_gpt":0.2462354032050121,"score_spread":0.23410707692388621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973827251","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12409392,0.0017074826,0.8145779,0.0012270777,0.00011745298,0.00028589528,0.0009229701,0.0006138162,0.05645337],"genre_scores_gemma":[0.97082424,0.00097371463,0.015841415,0.00011885805,0.000042453194,0.00038467682,0.00031820106,0.000107243584,0.011389064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964714,0.0001440461,0.000012520166,0.00003739054,0.000120816985,0.000038064674],"domain_scores_gemma":[0.99936837,0.00047093854,0.00005081402,0.000025300125,0.000073997515,0.000010523101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088240707,0.00082628237,0.0007558459,0.00085767714,0.00043204235,0.0012507471,0.000773176,0.0011791375,0.0024470098],"category_scores_gemma":[0.0022188586,0.00054879324,0.0010467651,0.0006044829,0.00081078085,0.0008163902,0.0009299372,0.0009184058,0.00024756475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000047880735,0.0000059944314,0.000067982546,0.00001307465,0.0000048121433,0.000010592629,0.000008356874,0.99661225,0.00025872962,0.0021810515,0.00007530445,0.00075703947],"study_design_scores_gemma":[0.000002197439,0.000006393488,0.000078486126,0.000004234123,0.0000027067551,0.0000040750638,0.000005499802,0.9969523,0.00018813787,0.002482796,0.0002692369,0.0000039996607],"about_ca_topic_score_codex":0.009306148,"about_ca_topic_score_gemma":0.0034777333,"teacher_disagreement_score":0.009306148,"about_ca_system_score_codex":0.0011403217,"about_ca_system_score_gemma":0.00088541716,"threshold_uncertainty_score":0.018503904},"labels":[],"label_agreement":null},{"id":"W1975656734","doi":"10.1080/00207230701382057","title":"Auxiliary power unit for truck idling reduction","year":2007,"lang":"en","type":"article","venue":"International Journal of Environmental Studies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Truck; Automotive engineering; Auxiliary power unit; Fuel efficiency; Idle; Heavy duty; Engineering; Electronic control unit; Power (physics); Noise pollution; Voltage; Computer science; Electrical engineering; Noise reduction","score_opus":0.028253120335153332,"score_gpt":0.3271168361711984,"score_spread":0.2988637158360451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975656734","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32770061,0.0010588417,0.6422437,0.00026313507,0.00029966372,0.00032645723,0.00027179642,0.0035992325,0.024236616],"genre_scores_gemma":[0.96669644,0.00027290272,0.02484128,0.000059265654,0.000049032173,0.000062380444,0.00016295716,0.00007047388,0.0077853664],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987495,0.000017094098,0.00000834617,0.00002129311,0.00006509089,0.000013279092],"domain_scores_gemma":[0.99980384,0.000043343814,0.000020944015,0.000023610795,0.000096637115,0.000011532558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013134666,0.00033011904,0.00042125938,0.00041839108,0.00029397255,0.00037371155,0.0010240249,0.00026895912,0.0033912384],"category_scores_gemma":[0.00030964782,0.00009703987,0.00021627684,0.00034561745,0.00015565816,0.00030981906,0.00027436885,0.00032070986,0.0007325466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009735139,0.00031063068,0.002045584,0.0005952078,0.000029743931,0.0003058635,0.00026238154,0.014760138,0.5623153,0.0051827636,0.0054307207,0.40778816],"study_design_scores_gemma":[0.00016171028,0.0028951145,0.009394755,0.000077350516,0.00016417322,0.00082205894,0.00012962685,0.30785802,0.613232,0.0029049658,0.062297165,0.000063025174],"about_ca_topic_score_codex":0.0004611333,"about_ca_topic_score_gemma":0.00061533257,"teacher_disagreement_score":0.0033912384,"about_ca_system_score_codex":0.00021385062,"about_ca_system_score_gemma":0.00020161533,"threshold_uncertainty_score":0.01134479},"labels":[],"label_agreement":null},{"id":"W1975663077","doi":"10.1109/itec.2013.6573482","title":"A comprehensive review of power electronic converter topologies to integrate photovoltaics (PV), AC grid, and electric vehicles","year":2013,"lang":"en","type":"review","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Photovoltaics; Network topology; Grid; Electrical engineering; Photovoltaic system; Power (physics); Computer science; Engineering; Physics; Computer network","score_opus":0.031291739851059805,"score_gpt":0.3187433146375657,"score_spread":0.2874515747865059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975663077","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011442781,0.980662,0.0040713684,0.00021609082,0.00044163043,0.000033728742,0.00008989965,0.000055338056,0.013285675],"genre_scores_gemma":[0.005420454,0.9829648,0.0037045134,0.00019091445,0.00022308159,0.000029605033,0.00022406643,0.000013037667,0.007229405],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99982685,0.000017031021,0.000030279041,0.00003327104,0.00008019648,0.00001237839],"domain_scores_gemma":[0.9997837,0.000066974775,0.000027245012,0.000010972324,0.00010111076,0.000009962205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032705165,0.00085222156,0.0008269787,0.0020977375,0.0002130557,0.00069187116,0.0007599483,0.00058282283,0.006271777],"category_scores_gemma":[0.00047343035,0.00035650012,0.0004935709,0.0030389489,0.00014566089,0.0011707185,0.00032184497,0.0006824635,0.0032786594],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000423048,0.0000906045,0.00016193224,0.014865791,0.00006806801,0.00018918297,0.000036663252,0.001044792,0.0056845574,0.0039277743,0.017546212,0.95634216],"study_design_scores_gemma":[0.000010449777,0.00014397627,0.0008142107,0.002619697,0.00014251238,0.0017506052,0.000048895658,0.00054180325,0.0038840505,0.0018074911,0.9882096,0.000026626252],"about_ca_topic_score_codex":0.0005371622,"about_ca_topic_score_gemma":0.0010446691,"teacher_disagreement_score":0.006271777,"about_ca_system_score_codex":0.00026473563,"about_ca_system_score_gemma":0.0006063669,"threshold_uncertainty_score":0.020981193},"labels":[],"label_agreement":null},{"id":"W1979046804","doi":"10.4271/2015-01-1190","title":"Effects of Electric Vehicle Fast Charging on Battery Life and Vehicle Performance","year":2015,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Intertek (Canada)","funders":"U.S. Department of Energy","keywords":"Battery (electricity); Automotive engineering; Internal resistance; Electric vehicle; Automotive battery; Battery pack; Electrical engineering; Power (physics); Electric-vehicle battery; Engineering","score_opus":0.011675350758676848,"score_gpt":0.23752037069846418,"score_spread":0.22584501993978734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979046804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983235,0.0000839137,0.0003797934,0.00001111405,0.000010051486,0.000010317324,0.000105050494,0.00002969269,0.0010465457],"genre_scores_gemma":[0.99864274,0.000060600545,0.0001672922,0.000010945106,0.0000025816255,0.0000060948614,0.00018799538,0.000009073041,0.0009127579],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99967444,0.000050489605,0.00002238135,0.000040556613,0.0001294336,0.00008275112],"domain_scores_gemma":[0.99883837,0.0004931069,0.00010580504,0.00009937057,0.00038912348,0.00007422579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044051997,0.00024679364,0.00020908932,0.00037381076,0.0002853476,0.0005295779,0.00031611125,0.0002554956,0.0021643518],"category_scores_gemma":[0.0018012414,0.00010211769,0.00027770802,0.00036694392,0.00020701713,0.00055510754,0.0003195967,0.00022704684,0.00036739724],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011329376,0.002107725,0.1759718,0.0005923927,0.00022793429,0.0019441528,0.00084785797,0.07864994,0.50079745,0.0007314892,0.0020794435,0.2247205],"study_design_scores_gemma":[0.0001270274,0.0170774,0.351547,0.000057787176,0.00021450914,0.0010520787,0.002021802,0.027255412,0.5958279,0.00060906255,0.00407843,0.00013156033],"about_ca_topic_score_codex":0.0033980184,"about_ca_topic_score_gemma":0.004714217,"teacher_disagreement_score":0.0033980184,"about_ca_system_score_codex":0.0005099482,"about_ca_system_score_gemma":0.00033689677,"threshold_uncertainty_score":0.007240534},"labels":[],"label_agreement":null},{"id":"W1979256072","doi":"10.1007/s00231-011-0766-z","title":"Heat transfer and thermal management of electric vehicle batteries with phase change materials","year":2011,"lang":"en","type":"article","venue":"Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":107,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Exergy; Materials science; Heat transfer; Exergy efficiency; Phase-change material; Thermal; Thermal conductivity; Thermodynamics; Battery (electricity); Shell (structure); Nuclear engineering; Finite volume method; Mechanical engineering; Composite material; Engineering; Physics","score_opus":0.030567202397683735,"score_gpt":0.24083839514319091,"score_spread":0.21027119274550718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979256072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861688,0.0011695272,0.0077571026,0.00017680734,0.000044030476,0.000016042499,0.000035818855,0.00003456107,0.0045971978],"genre_scores_gemma":[0.9975865,0.00016847641,0.00034202982,0.0000062864883,0.000008866029,0.0000063771977,0.000019821244,0.0000061649794,0.0018553828],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99996126,0.000009375699,0.0000011213064,0.0000054238635,0.0000136779845,0.000009182614],"domain_scores_gemma":[0.99994624,0.000030439185,0.000005284782,0.000003454546,0.000011784665,0.000002814881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000116496565,0.00013932672,0.00017233723,0.00016907687,0.00025071375,0.00035910038,0.00023411775,0.00020894842,0.0012971078],"category_scores_gemma":[0.0002834274,0.00009602784,0.00013107178,0.00013085562,0.0003291621,0.00055665575,0.00015627623,0.00014661277,0.000126402],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020415043,0.00039349694,0.003212866,0.00032448795,0.00004619129,0.00029317138,0.00045823978,0.107878424,0.8123457,0.015473931,0.0017094887,0.055822577],"study_design_scores_gemma":[0.00006205985,0.00046882397,0.0047694044,0.000013338342,0.000027920409,0.00013673214,0.0003361816,0.37408087,0.6103738,0.005466199,0.0042420123,0.000022607659],"about_ca_topic_score_codex":0.00055806275,"about_ca_topic_score_gemma":0.000455056,"teacher_disagreement_score":0.0012971078,"about_ca_system_score_codex":0.00027003675,"about_ca_system_score_gemma":0.0001206356,"threshold_uncertainty_score":0.0043392777},"labels":[],"label_agreement":null},{"id":"W1979324424","doi":"10.1109/ccece.2012.6334957","title":"A review of bidirectional on-board charger topologies for plugin vehicles","year":2012,"lang":"en","type":"review","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Network topology; Plug-in; Battery charger; Battery (electricity); Grid; Computer science; Component (thermodynamics); Key (lock); Electrical engineering; Topology (electrical circuits); Engineering; Power (physics); Computer network; Operating system; Physics","score_opus":0.11929199088857949,"score_gpt":0.38681056868274655,"score_spread":0.26751857779416705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979324424","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014368603,0.97838163,0.005912492,0.0002705146,0.0005172864,0.000032039883,0.00010960111,0.000060578535,0.01327889],"genre_scores_gemma":[0.007268604,0.9810517,0.004040542,0.00017703307,0.0002480909,0.000030069328,0.00021998676,0.000015338455,0.0069486443],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99980956,0.000018824168,0.000030104236,0.000040667688,0.000084658,0.000016180453],"domain_scores_gemma":[0.9997328,0.00008460485,0.000033215478,0.000011914964,0.0001227905,0.000014724471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030538708,0.00091173593,0.0008975647,0.0019126938,0.00028001575,0.0008243557,0.0009877891,0.0007643816,0.006057674],"category_scores_gemma":[0.00047571032,0.00041887694,0.0005474245,0.0026576915,0.00018478316,0.0018025271,0.00042906302,0.0006509685,0.003602711],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005618374,0.00008900438,0.00016673385,0.014317307,0.000051880357,0.0002033491,0.000043891687,0.001493096,0.004897658,0.0055694073,0.017927663,0.95518386],"study_design_scores_gemma":[0.000009044464,0.00019290725,0.0005038385,0.0019388756,0.00011392529,0.0012954944,0.00006889698,0.0007511666,0.0034081377,0.0018648509,0.989823,0.000029830557],"about_ca_topic_score_codex":0.00080075674,"about_ca_topic_score_gemma":0.0011474632,"teacher_disagreement_score":0.006057674,"about_ca_system_score_codex":0.0003070965,"about_ca_system_score_gemma":0.00061199587,"threshold_uncertainty_score":0.020264983},"labels":[],"label_agreement":null},{"id":"W1979615005","doi":"10.1109/tpel.2011.2151206","title":"A New Battery/UltraCapacitor Hybrid Energy Storage System for Electric, Hybrid, and Plug-In Hybrid Electric Vehicles","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1167,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Supercapacitor; Automotive battery; Voltage; Automotive engineering; Electrical engineering; Energy storage; Trickle charging; Electric vehicle; Regenerative brake; Power (physics); Engineering; Computer science; Brake; Capacitance; Physics","score_opus":0.011001880194226963,"score_gpt":0.21535465190593167,"score_spread":0.2043527717117047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979615005","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17347693,0.002532033,0.7892494,0.00086675334,0.001119496,0.00025360312,0.00051328784,0.005993182,0.0259952],"genre_scores_gemma":[0.8774435,0.0008002046,0.091113076,0.00035157497,0.00018698165,0.00016831582,0.00049000146,0.000058563197,0.029387813],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998903,0.00000984662,0.0000115647035,0.00002286597,0.000054385848,0.000011049102],"domain_scores_gemma":[0.9999201,0.0000071122977,0.0000070302744,0.000008760365,0.00004570756,0.000011273897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001302449,0.00021617005,0.00045274032,0.00027843364,0.00040163743,0.00047919693,0.00088546606,0.00031531634,0.0035435],"category_scores_gemma":[0.0000965178,0.00016723556,0.00017003203,0.00028284377,0.00017886673,0.00077671994,0.00040947105,0.00038614255,0.0008852666],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077161513,0.00025873366,0.003023183,0.00084618066,0.00019289846,0.0014670267,0.0002658354,0.025043085,0.34523687,0.01869701,0.022677315,0.58152026],"study_design_scores_gemma":[0.0003583806,0.0015548213,0.0037415882,0.000088907196,0.00024235177,0.0028152028,0.00019062271,0.5692955,0.24277468,0.0065197567,0.17224787,0.00017034885],"about_ca_topic_score_codex":0.00052221486,"about_ca_topic_score_gemma":0.0012953145,"teacher_disagreement_score":0.0035435,"about_ca_system_score_codex":0.00019545635,"about_ca_system_score_gemma":0.0002864141,"threshold_uncertainty_score":0.011854172},"labels":[],"label_agreement":null},{"id":"W1980496711","doi":"10.1080/18811248.2000.9714954","title":"Power Mapping in a Canada Deuterium Uranium Reactor Using Kalman Filtering Technique","year":2000,"lang":"en","type":"article","venue":"Journal of Nuclear Science and Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Uranium; Nuclear engineering; Kalman filter; Deuterium; Enriched uranium; Natural uranium; Power (physics); Radiochemistry; Environmental science; Chemistry; Computer science; Materials science; Nuclear physics; Physics; Engineering; Metallurgy; Thermodynamics; Artificial intelligence","score_opus":0.011654825278791083,"score_gpt":0.2335585683591812,"score_spread":0.22190374308039013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980496711","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18306594,0.00016514993,0.8109728,0.0001401338,0.00002349909,0.000033046526,0.00013933105,0.0010639179,0.0043961573],"genre_scores_gemma":[0.86629003,0.00012780145,0.13051277,0.000019320341,0.000004763981,0.00002788265,0.00014441201,0.00005402029,0.002818946],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998343,0.000019462539,0.0000071878558,0.000047889003,0.000075829645,0.000015312056],"domain_scores_gemma":[0.99986756,0.000046387686,0.000017268509,0.00000878993,0.000055226184,0.0000048052525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033487476,0.0003326937,0.00030509228,0.0003314328,0.0003078581,0.00042410605,0.0003777699,0.0003043024,0.0005469882],"category_scores_gemma":[0.0005980625,0.00024288592,0.0002742964,0.00042211034,0.00021677582,0.00039482434,0.00023949567,0.00029890105,0.0001359676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026881092,0.000046500743,0.011117655,0.00013337948,0.000065006316,0.00014820161,0.00031622133,0.7736468,0.046176597,0.0057542752,0.0012107859,0.16111585],"study_design_scores_gemma":[0.000015314885,0.000019553807,0.0033534826,0.0000044271646,0.000016697239,0.000018313687,0.00002653787,0.9800244,0.014928871,0.0004960029,0.0010775364,0.000018776864],"about_ca_topic_score_codex":0.120203145,"about_ca_topic_score_gemma":0.10578248,"teacher_disagreement_score":0.87979686,"about_ca_system_score_codex":0.0013065477,"about_ca_system_score_gemma":0.0013645621,"threshold_uncertainty_score":0.23900694},"labels":[],"label_agreement":null},{"id":"W1981570283","doi":"10.1115/detc2010-28972","title":"Plug-In Hybrid Electric Vehicle Battery Selection for Optimum Economic and Environmental Benefits Using Pareto Set Points and PSAT™","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Greenhouse gas; Automotive engineering; Battery (electricity); Lithium (medication); Miles per gallon gasoline equivalent; Plug-in; Environmental science; Fuel efficiency; Waste management; Engineering; Computer science; Green vehicle; Power (physics)","score_opus":0.01248219196972701,"score_gpt":0.23663239553737708,"score_spread":0.22415020356765009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981570283","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23810051,0.0013827113,0.730103,0.0004905067,0.00007959792,0.0004506991,0.00025811698,0.00043088378,0.028703814],"genre_scores_gemma":[0.9079297,0.0004210228,0.08534364,0.00011806101,0.000017951521,0.00049384794,0.00035872342,0.0000571439,0.005259817],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996019,0.00013304203,0.000015385745,0.000038571976,0.00012314228,0.000088088775],"domain_scores_gemma":[0.9991351,0.00052858645,0.00006903178,0.000022335891,0.00020311351,0.000041865624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001322683,0.0013838625,0.0013559258,0.0021588472,0.0006256266,0.0015627831,0.00097451033,0.0009621237,0.0036730415],"category_scores_gemma":[0.0022677267,0.0006032829,0.0017188714,0.0010444118,0.0004951575,0.00067322,0.00073895295,0.000726991,0.0003861451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003189324,0.00006477296,0.00052672176,0.000057518035,0.000037207727,0.000055540688,0.000030045763,0.9851328,0.00046496108,0.0018367572,0.00041914935,0.011342581],"study_design_scores_gemma":[0.000007387422,0.000039024453,0.00018548516,0.000015266145,0.000010152893,0.000008137891,0.000032532105,0.99770564,0.0002975478,0.0014400601,0.00025293313,0.0000058873634],"about_ca_topic_score_codex":0.0066254786,"about_ca_topic_score_gemma":0.005134671,"teacher_disagreement_score":0.0066254786,"about_ca_system_score_codex":0.0014345093,"about_ca_system_score_gemma":0.0017700538,"threshold_uncertainty_score":0.013173819},"labels":[],"label_agreement":null},{"id":"W1981725366","doi":"10.1109/tpwrs.2014.2332058","title":"Power Quality Assessment in Distribution Systems Embedded With Plug-In Hybrid and Battery Electric Vehicles","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Power Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":214,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Monte Carlo method; Automotive engineering; Voltage; Transformer; Electric vehicle; Engineering; Distribution transformer; Electrical engineering; Power quality; Plug-in; Power (physics); Computer science; Physics","score_opus":0.012669366547570773,"score_gpt":0.26577653504038734,"score_spread":0.25310716849281656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981725366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8817725,0.00040250306,0.11400827,0.00007274445,0.000015715672,0.000051877127,0.00018608342,0.00034100263,0.003149114],"genre_scores_gemma":[0.9981055,0.000047046276,0.0015071451,0.0000024618605,0.000001917778,0.000003349698,0.000035872217,0.000006349134,0.00029030946],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965227,0.00011694408,0.000016914475,0.000049193546,0.00012118063,0.00004348032],"domain_scores_gemma":[0.998862,0.0006036134,0.00016314084,0.000073570154,0.00025691197,0.000040721236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060195266,0.00052594114,0.0003926685,0.00046497124,0.00020542427,0.00064296456,0.0003793343,0.00032017738,0.0008460214],"category_scores_gemma":[0.0016335525,0.00019890052,0.00027027217,0.00042469325,0.0003218186,0.0006391055,0.00033764626,0.00026314848,0.00014566493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027452604,0.000073961004,0.00881115,0.00006584485,0.00004505555,0.00016685468,0.000040121497,0.9639162,0.0055903737,0.00082163454,0.00019556351,0.019998726],"study_design_scores_gemma":[0.00001000575,0.00016089126,0.003963986,0.0000056665212,0.00001669142,0.000051523977,0.000027739678,0.99244267,0.0024890052,0.00066861615,0.00015849146,0.00000456807],"about_ca_topic_score_codex":0.0047847973,"about_ca_topic_score_gemma":0.004143685,"teacher_disagreement_score":0.0047847973,"about_ca_system_score_codex":0.00083279173,"about_ca_system_score_gemma":0.0002872701,"threshold_uncertainty_score":0.009513855},"labels":[],"label_agreement":null},{"id":"W1982761136","doi":"10.1109/vppc.2010.5729248","title":"Modeling, design, and control of a fuel cell/battery/ultra-capacitor electric vehicle energy storage system","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Battery (electricity); Capacitor; Energy storage; Supercapacitor; Automotive engineering; Battery pack; Electrical engineering; Regenerative brake; Electric vehicle; Engineering; Power (physics); Computer science; Voltage; Capacitance; Electrode","score_opus":0.008810179976104974,"score_gpt":0.2044475138835096,"score_spread":0.19563733390740462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982761136","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046918884,0.0008576869,0.91470695,0.00058702205,0.00025539368,0.00024770017,0.00035832066,0.0018346009,0.034233384],"genre_scores_gemma":[0.96143633,0.00053096935,0.02563572,0.00010053649,0.000050799008,0.00035916702,0.00017166378,0.00005998466,0.011654895],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977607,0.000034557128,0.000014522526,0.00005346803,0.00008619149,0.00003524301],"domain_scores_gemma":[0.9998714,0.00002054409,0.000030507465,0.0000128149595,0.000052844345,0.000011991401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028619028,0.000751311,0.00087002746,0.0002817892,0.00078220194,0.0014633121,0.0015194366,0.0010137134,0.004445935],"category_scores_gemma":[0.0002281627,0.00044322692,0.00061468367,0.00027034176,0.00054289884,0.0007184956,0.00060195435,0.0008186209,0.0010148073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017299378,0.0000980998,0.0010860383,0.00023785695,0.00007347981,0.0003460679,0.00015858536,0.9174394,0.03333035,0.0111880815,0.0019073952,0.033961788],"study_design_scores_gemma":[0.000029501516,0.00009933317,0.00029886715,0.000010192885,0.00002549912,0.00004365275,0.00001657333,0.9929294,0.0033048927,0.00084490946,0.0023866121,0.00001062171],"about_ca_topic_score_codex":0.00827157,"about_ca_topic_score_gemma":0.0060495944,"teacher_disagreement_score":0.00827157,"about_ca_system_score_codex":0.00079449825,"about_ca_system_score_gemma":0.0011648256,"threshold_uncertainty_score":0.016446829},"labels":[],"label_agreement":null},{"id":"W1982990490","doi":"10.1016/j.jpowsour.2014.01.057","title":"A survey of mathematics-based equivalent-circuit and electrochemical battery models for hybrid and electric vehicle simulation","year":2014,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":443,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Toyota Motor Corporation","keywords":"Battery (electricity); Equivalent circuit; Electrochemistry; Electrical engineering; Electric vehicle; Engineering; Chemistry; Voltage; Electrode; Thermodynamics; Physics; Physical chemistry; Power (physics)","score_opus":0.02873149273941859,"score_gpt":0.2721018285415135,"score_spread":0.2433703358020949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982990490","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00511711,0.009314072,0.96912766,0.00041220454,0.00016874327,0.00005955556,0.0005063116,0.0006704584,0.014623895],"genre_scores_gemma":[0.4461861,0.0616233,0.45391294,0.0006425267,0.0007855607,0.0006797748,0.003297822,0.001021117,0.031850915],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997085,0.00006703759,0.00003785934,0.00003589157,0.00013567794,0.000015005502],"domain_scores_gemma":[0.99954176,0.00018632642,0.000033584605,0.0000651805,0.00015888689,0.000014331206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046297172,0.0010084064,0.0014113225,0.0012678403,0.0003563129,0.0012564354,0.0024743313,0.0012541936,0.0035715967],"category_scores_gemma":[0.0017480303,0.0005660993,0.0011615206,0.0020190591,0.0004267437,0.0019213028,0.0005766621,0.0011811688,0.0017178621],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003324608,0.00009138432,0.0007334954,0.0006584288,0.000068993395,0.00008608505,0.000058192647,0.82459253,0.0026121256,0.048181698,0.0041412646,0.118742585],"study_design_scores_gemma":[0.000008706854,0.000020748363,0.00017078478,0.00005691808,0.00001874494,0.00007037506,0.000018207384,0.9608836,0.0009690046,0.020946817,0.016818946,0.000017206115],"about_ca_topic_score_codex":0.004946629,"about_ca_topic_score_gemma":0.0042152978,"teacher_disagreement_score":0.004946629,"about_ca_system_score_codex":0.00064874877,"about_ca_system_score_gemma":0.0007926528,"threshold_uncertainty_score":0.011948168},"labels":[],"label_agreement":null},{"id":"W1983308956","doi":"10.1109/intlec.2014.6972135","title":"Measurement and equivalent circuit modeling of a lithium-ion cell","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Equivalent circuit; Capacitance; Materials science; Capacitor; Equivalent series resistance; Lithium (medication); Electrical impedance; Electrode; Time constant; Electrical engineering; Analytical Chemistry (journal); Voltage; Chemistry; Engineering","score_opus":0.05408512271334674,"score_gpt":0.2515451635639776,"score_spread":0.19746004085063085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983308956","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32210836,0.0005492774,0.64480346,0.0007431384,0.00014295959,0.0006046162,0.0053503616,0.0075154444,0.018182369],"genre_scores_gemma":[0.95997566,0.00029903787,0.035043538,0.00009488656,0.000017279533,0.00028152406,0.00089335325,0.000080419966,0.0033143451],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995221,0.000057994326,0.000032916127,0.00012222596,0.00023814457,0.0000265934],"domain_scores_gemma":[0.999658,0.00010880612,0.000029532219,0.00009795507,0.000091498114,0.000014150471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026212883,0.00057257194,0.0004622783,0.0004689613,0.00035458454,0.0008765428,0.002158871,0.0009906372,0.0035430489],"category_scores_gemma":[0.00086305337,0.00020822191,0.00033247969,0.0005470776,0.00031444486,0.0013822129,0.0003607042,0.00050980947,0.0010152739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036523578,0.00030567564,0.0044236286,0.0005920584,0.00007238268,0.0007186221,0.00039612481,0.18358704,0.7176751,0.008821242,0.0034022895,0.079640605],"study_design_scores_gemma":[0.00002769691,0.00048104912,0.0022508004,0.000021422768,0.00004656389,0.00038255195,0.00007806333,0.8119843,0.17285353,0.0023766356,0.009456976,0.00004046629],"about_ca_topic_score_codex":0.0015331461,"about_ca_topic_score_gemma":0.00106467,"teacher_disagreement_score":0.0035430489,"about_ca_system_score_codex":0.000942854,"about_ca_system_score_gemma":0.00041007713,"threshold_uncertainty_score":0.011852682},"labels":[],"label_agreement":null},{"id":"W1984092116","doi":"10.4271/2013-01-1475","title":"DC Charging and Standards for Plug-in Electric Vehicles","year":2013,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Chrysler (Canada)","funders":"","keywords":"Plug-in; Spark plug; Automotive engineering; Electrical engineering; Computer science; Engineering; Aerospace engineering; Operating system","score_opus":0.011269247937857793,"score_gpt":0.2641881741568681,"score_spread":0.25291892621901035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984092116","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005475022,0.007232131,0.19187534,0.007863292,0.006939453,0.00084767625,0.0013693051,0.002618058,0.77577984],"genre_scores_gemma":[0.17161056,0.018406777,0.23264626,0.008854463,0.003020486,0.0018865179,0.007500108,0.0023448525,0.55373],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99037766,0.001289096,0.0009708551,0.0007135418,0.006175676,0.00047307936],"domain_scores_gemma":[0.99310863,0.00079031306,0.00017054653,0.0013872723,0.004342312,0.00020084312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050053205,0.00083962746,0.00045147006,0.002447061,0.0019146922,0.005444421,0.0025374806,0.0034540799,0.012773082],"category_scores_gemma":[0.009192295,0.0005408074,0.0007643393,0.0024811612,0.0017023731,0.003895004,0.0022234428,0.0041447124,0.010918259],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049807953,0.00012304509,0.0004080824,0.00042591873,0.000010913626,0.0001268551,0.0005493167,0.0030130113,0.003788818,0.7703521,0.1047597,0.11639235],"study_design_scores_gemma":[0.000015603699,0.00006188403,0.00041925831,0.00026604123,0.000008750544,0.00016649708,0.00019241084,0.001977029,0.003257985,0.04771794,0.945884,0.00003264513],"about_ca_topic_score_codex":0.010936379,"about_ca_topic_score_gemma":0.007359751,"teacher_disagreement_score":0.012773082,"about_ca_system_score_codex":0.003533436,"about_ca_system_score_gemma":0.005307078,"threshold_uncertainty_score":0.042730153},"labels":[],"label_agreement":null},{"id":"W1984425157","doi":"10.1109/tpel.2014.2336668","title":"Improving the Regulation Range of EV Battery Chargers With &lt;italic&gt;L3C2&lt;/italic&gt; Resonant Converters","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical engineering; Topology (electrical circuits); Battery (electricity); Battery charger; Capacitor; Converters; Ripple; Voltage; Engineering; Power (physics); Electric vehicle; Electronic engineering; Physics","score_opus":0.006072903295503739,"score_gpt":0.20392950300469526,"score_spread":0.1978565997091915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984425157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6734256,0.0011339524,0.29334137,0.0002553025,0.000084182124,0.00007583428,0.00024939864,0.0036018344,0.02783249],"genre_scores_gemma":[0.98446715,0.00014060369,0.013139685,0.00004571229,0.000010201376,0.000025440126,0.000070427974,0.00009806251,0.0020026588],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979883,0.000028673681,0.000014900955,0.000053768075,0.00007274675,0.000031200027],"domain_scores_gemma":[0.9998853,0.000027339065,0.000017783355,0.000024478131,0.00003907299,0.000006006747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023164114,0.00037526432,0.00039097737,0.00027453975,0.00023747153,0.00062322937,0.0008041208,0.00033050354,0.0019778796],"category_scores_gemma":[0.0002839053,0.0001229042,0.00030175576,0.00025942276,0.00019537324,0.00058643357,0.00036641382,0.00030815732,0.0009285225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058658887,0.00017769208,0.001486568,0.00029473624,0.000050162864,0.0003126434,0.00021597907,0.022793042,0.8590991,0.0033218805,0.0023349088,0.10932672],"study_design_scores_gemma":[0.000117778494,0.0007485653,0.0037307586,0.000050325194,0.00008395795,0.0010616237,0.00014337368,0.21547173,0.75850576,0.0015574564,0.018465504,0.00006306309],"about_ca_topic_score_codex":0.00067003566,"about_ca_topic_score_gemma":0.0007040717,"teacher_disagreement_score":0.0019778796,"about_ca_system_score_codex":0.0002916288,"about_ca_system_score_gemma":0.00015909567,"threshold_uncertainty_score":0.0066167116},"labels":[],"label_agreement":null},{"id":"W1985380539","doi":"10.1109/vppc.2009.5453287","title":"Dynamic Analysis of a Bi-directional Switched Capacitor DC/DC Converter for Fuel Cell Vehicle Energy Storage Applications","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Energy storage; Capacitor; Controller (irrigation); Buck converter; Switched capacitor; Computer science; Buck–boost converter; Ripple; Boost converter; Topology (electrical circuits); Electrical engineering; Electronic engineering; Control theory (sociology); Engineering; Power (physics); Voltage; Control (management); Physics","score_opus":0.009013106007646637,"score_gpt":0.24834249769554012,"score_spread":0.2393293916878935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985380539","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14075312,0.0023055698,0.74421173,0.00085471326,0.00021542385,0.00022971409,0.00027706617,0.00080056733,0.11035207],"genre_scores_gemma":[0.9744417,0.0010084854,0.010341275,0.00010273815,0.000030134353,0.00011191168,0.000100557016,0.000054799006,0.0138084795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988174,0.000016083295,0.0000033373879,0.0000129565115,0.00007283067,0.0000130249355],"domain_scores_gemma":[0.9999168,0.000029318735,0.000006781365,0.0000064469914,0.00003574583,0.0000048928814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016478254,0.00044444267,0.0003919153,0.00044076296,0.00048852956,0.0010087648,0.0004567073,0.0006381484,0.0051495438],"category_scores_gemma":[0.00036143977,0.00019846065,0.00037428844,0.00031511916,0.0003068308,0.0005137197,0.00022652895,0.00051456975,0.0008027526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026341507,0.00014275259,0.0012748225,0.00036120001,0.00010185327,0.0007272766,0.00023384122,0.73889065,0.11819491,0.039130013,0.003947262,0.09673194],"study_design_scores_gemma":[0.0000074053905,0.000030963507,0.0004148527,0.000009897938,0.000008540013,0.000060885846,0.000026790729,0.9923578,0.0035049447,0.0015479039,0.0020228135,0.0000071966947],"about_ca_topic_score_codex":0.0060787383,"about_ca_topic_score_gemma":0.005070163,"teacher_disagreement_score":0.0060787383,"about_ca_system_score_codex":0.00058029493,"about_ca_system_score_gemma":0.0006571775,"threshold_uncertainty_score":0.017226934},"labels":[],"label_agreement":null},{"id":"W1986332602","doi":"10.4271/2013-01-1521","title":"Impact of Temperature on the A123 Li-Ion Battery Performance and Hybrid Electric Vehicle Range","year":2013,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Range (aeronautics); Battery (electricity); Ion; Automotive engineering; Electric vehicle; Atmospheric temperature range; Materials science; Electrical engineering; Computer science; Engineering; Chemistry; Physics; Composite material; Thermodynamics; Power (physics)","score_opus":0.009201398071492829,"score_gpt":0.2385653806018438,"score_spread":0.22936398253035095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986332602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937417,0.0010692967,0.0010694787,0.00006477163,0.000031064432,0.000014441606,0.0007868185,0.00018022653,0.0030422863],"genre_scores_gemma":[0.99651647,0.00059857476,0.00044621062,0.000023257086,0.0000059597696,0.000018424207,0.0006459091,0.00005398577,0.0016912203],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997216,0.000015669488,0.000026689775,0.00006167922,0.00013086537,0.00004344023],"domain_scores_gemma":[0.9996779,0.000087831635,0.000028180213,0.0000324343,0.0001582801,0.000015495283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002161181,0.00030634383,0.00040989637,0.00034441194,0.0002012974,0.0006566359,0.00053069665,0.00047510467,0.0021312514],"category_scores_gemma":[0.0004760292,0.00013035945,0.00031500356,0.00046370822,0.00017521984,0.0005334182,0.0002853756,0.00028353633,0.0010475912],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020778147,0.0001929282,0.014459726,0.00055271346,0.000116582894,0.000915669,0.0005123441,0.013659396,0.915784,0.0005963321,0.0023785327,0.04875393],"study_design_scores_gemma":[0.000018377674,0.0012059681,0.016697977,0.0000289785,0.000081802384,0.0006392122,0.0003362336,0.007849108,0.96678245,0.00018277027,0.006120411,0.000056652152],"about_ca_topic_score_codex":0.0013402796,"about_ca_topic_score_gemma":0.001440969,"teacher_disagreement_score":0.0021312514,"about_ca_system_score_codex":0.00025163312,"about_ca_system_score_gemma":0.00016755829,"threshold_uncertainty_score":0.007129729},"labels":[],"label_agreement":null},{"id":"W1987966963","doi":"10.1109/itec.2013.6574497","title":"A comparative evaluation of control techniques for grid-side AC-DC converter in a two-stage level-two bidirectional battery charger","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Plug-in; Battery charger; Battery pack; Battery (electricity); Grid; Controller (irrigation); Computer science; Frame (networking); Component (thermodynamics); Electrical engineering; Engineering; Automotive engineering; Power (physics); Operating system; Telecommunications","score_opus":0.08729960521932499,"score_gpt":0.3729711528086089,"score_spread":0.28567154758928387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987966963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5566642,0.0032687448,0.4022277,0.00014991223,0.00016033188,0.00057834276,0.00018437127,0.001533379,0.035233025],"genre_scores_gemma":[0.9758424,0.0005575142,0.021349147,0.000017006018,0.000014770068,0.000063991865,0.000055420016,0.000024936346,0.002074883],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995285,0.000117941476,0.000033688862,0.00007470331,0.00020447021,0.000040679763],"domain_scores_gemma":[0.9994923,0.00018654352,0.00005186177,0.00007705216,0.00017141916,0.000020783647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048009836,0.00051328965,0.00044457102,0.0005212459,0.00026841427,0.00062668644,0.0006657036,0.00040175515,0.002519324],"category_scores_gemma":[0.0008623078,0.0001489356,0.00030318086,0.00037441545,0.00017632029,0.0003952932,0.00020977986,0.0003068694,0.00033274762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040388796,0.0009396508,0.003286664,0.002634705,0.00022874489,0.0003532186,0.0004934027,0.13171694,0.29394627,0.004565316,0.0013163541,0.5564798],"study_design_scores_gemma":[0.00059561734,0.009471762,0.018515317,0.00015135211,0.00039376272,0.0006036725,0.00038897787,0.6957987,0.2574963,0.001142567,0.015352957,0.00008907584],"about_ca_topic_score_codex":0.0011421677,"about_ca_topic_score_gemma":0.0010988017,"teacher_disagreement_score":0.002519324,"about_ca_system_score_codex":0.00022936014,"about_ca_system_score_gemma":0.0001887573,"threshold_uncertainty_score":0.008427918},"labels":[],"label_agreement":null},{"id":"W1988295478","doi":"10.1109/itec.2014.6861863","title":"Battery management system in the Bayesian paradigm: Part I: SOC estimation","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ford Motor Company (Canada); McMaster University","funders":"","keywords":"Estimator; Robustness (evolution); State of charge; Kalman filter; Recursive Bayesian estimation; Control theory (sociology); Computer science; Equivalent circuit; Battery (electricity); Bayes estimator; Extended Kalman filter; Bayesian probability; Estimation theory; Energy management; Algorithm; Engineering; Mathematics; Energy (signal processing); Voltage; Artificial intelligence; Statistics; Electrical engineering","score_opus":0.01303355928082041,"score_gpt":0.24495621205820844,"score_spread":0.23192265277738802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988295478","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007667869,0.00031000483,0.98925275,0.00015904626,0.000024162997,0.000035311085,0.000038150065,0.0002381709,0.0022745412],"genre_scores_gemma":[0.8097123,0.0011364805,0.18320428,0.00025810557,0.00017178722,0.00029922675,0.00024756428,0.00007451767,0.00489566],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993414,0.000163083,0.000044647633,0.00013882671,0.00025884132,0.000053094354],"domain_scores_gemma":[0.99929297,0.00025075878,0.000103977014,0.00006548649,0.00026092023,0.000025872178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093635195,0.0005455327,0.0009330764,0.0004800377,0.0005092075,0.0012822297,0.00120267,0.0011401029,0.0015415457],"category_scores_gemma":[0.0036818834,0.0003467901,0.00041692314,0.0005765279,0.0005514769,0.002021828,0.0011764764,0.0009009333,0.00055993715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025534778,0.00016713937,0.0031049978,0.0003453923,0.000104862,0.00018485138,0.0003199183,0.51548856,0.014856534,0.07049066,0.0034034331,0.3912783],"study_design_scores_gemma":[0.000013193844,0.000041950472,0.00045230787,0.000014528421,0.000015870075,0.000071458766,0.000019583642,0.98698074,0.0015709187,0.009105546,0.0016929201,0.000020965806],"about_ca_topic_score_codex":0.0063527226,"about_ca_topic_score_gemma":0.005312064,"teacher_disagreement_score":0.0063527226,"about_ca_system_score_codex":0.00062021986,"about_ca_system_score_gemma":0.0014303438,"threshold_uncertainty_score":0.012631476},"labels":[],"label_agreement":null},{"id":"W1988947815","doi":"10.4271/2011-01-1376","title":"Evaluation of a Hybrid Energy Storage System for EV's","year":2011,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Memorial University of Newfoundland; University of Windsor","keywords":"Computer science; Energy storage; Physics; Power (physics)","score_opus":0.0352096346601875,"score_gpt":0.27712358384382096,"score_spread":0.24191394918363346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988947815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95560855,0.00045688372,0.028110871,0.00021034766,0.00015647298,0.00031619534,0.00065032754,0.00074831187,0.013741975],"genre_scores_gemma":[0.99425715,0.000081322505,0.0025224823,0.000016990598,0.0000045561246,0.000063339285,0.00016658676,0.000013449467,0.0028742808],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998288,0.000038958493,0.000015983136,0.000027708293,0.00006693131,0.000021508336],"domain_scores_gemma":[0.9997403,0.000049904196,0.000011542212,0.000019545338,0.00015471612,0.000023993258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048984407,0.00037162326,0.00059547654,0.00040041274,0.0004698891,0.0008142658,0.00068504596,0.00056225795,0.0052312305],"category_scores_gemma":[0.00043851935,0.00013063494,0.00034843333,0.00024317118,0.0002212655,0.00076316315,0.0003645713,0.0002559957,0.00078508555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0064823963,0.000991833,0.0074796844,0.0020569947,0.0003046539,0.0010989497,0.0004335974,0.43989152,0.35349923,0.0040172115,0.0063908496,0.17735308],"study_design_scores_gemma":[0.00041153384,0.009829983,0.009683824,0.00009432567,0.00024021503,0.00034375794,0.0004948611,0.7431637,0.22170697,0.00091742066,0.013028431,0.00008498549],"about_ca_topic_score_codex":0.0023210968,"about_ca_topic_score_gemma":0.0020636506,"teacher_disagreement_score":0.0052312305,"about_ca_system_score_codex":0.0006326884,"about_ca_system_score_gemma":0.00039460327,"threshold_uncertainty_score":0.017500222},"labels":[],"label_agreement":null},{"id":"W1989148049","doi":"10.4271/2013-01-1546","title":"Charge Capacity Versus Charge Time in CC-CV and Pulse Charging of Li-Ion Batteries","year":2013,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Chrysler (Canada)","funders":"","keywords":"Charge (physics); Ion; Electrical engineering; Pulse (music); Atomic physics; Materials science; Optoelectronics; Voltage; Physics; Engineering","score_opus":0.016680230711693417,"score_gpt":0.24566998038731128,"score_spread":0.22898974967561786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989148049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9353027,0.004939497,0.030009868,0.000281188,0.0001279999,0.00012208443,0.00045285633,0.00088993023,0.027873948],"genre_scores_gemma":[0.9971655,0.00026317142,0.001005468,0.000019751078,0.0000089086225,0.000017043321,0.000055191304,0.000033200304,0.0014316846],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994754,0.000054378994,0.000023340339,0.000046645724,0.0003304564,0.000069671616],"domain_scores_gemma":[0.99849665,0.00093885616,0.000095526484,0.00012431799,0.00029858193,0.000046053185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082608836,0.00028995678,0.00036456503,0.0008829454,0.00026424363,0.00076818536,0.0010082609,0.00062083785,0.0026776905],"category_scores_gemma":[0.0036064393,0.00017419204,0.0002914434,0.0013156247,0.00048220283,0.0013536963,0.00037803684,0.0004069665,0.0004363964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00629234,0.0004431761,0.011112656,0.0009528448,0.000075141426,0.0011412104,0.0011698505,0.32354558,0.33469495,0.013830728,0.0036796008,0.30306202],"study_design_scores_gemma":[0.00006732966,0.0013473673,0.016083414,0.00009484931,0.000058707883,0.00087646884,0.00045972786,0.66663975,0.3042153,0.0048187426,0.005211525,0.0001267493],"about_ca_topic_score_codex":0.0029344454,"about_ca_topic_score_gemma":0.002238032,"teacher_disagreement_score":0.0029344454,"about_ca_system_score_codex":0.001056075,"about_ca_system_score_gemma":0.00040114627,"threshold_uncertainty_score":0.008957744},"labels":[],"label_agreement":null},{"id":"W1989437963","doi":"10.1016/j.jpowsour.2011.06.090","title":"Design optimization of electric vehicle battery cooling plates for thermal performance","year":2011,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":547,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Networks of Centres of Excellence of Canada","keywords":"Coolant; Pressure drop; Stack (abstract data type); Battery (electricity); Mechanical engineering; Computational fluid dynamics; Nuclear engineering; Electric-vehicle battery; Thermal; Water cooling; Power (physics); Electric vehicle; Automotive engineering; Materials science; Engineering; Mechanics; Computer science; Aerospace engineering; Thermodynamics; Physics","score_opus":0.027667774432826392,"score_gpt":0.2319623819098863,"score_spread":0.2042946074770599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989437963","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37328053,0.0015483659,0.5262916,0.00067951117,0.00021325135,0.00035531845,0.00031369514,0.00076591683,0.09655181],"genre_scores_gemma":[0.9745175,0.0002615947,0.01678713,0.000029135319,0.000019852956,0.00016003885,0.000062632804,0.000076034725,0.008085993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998542,0.000033114313,0.0000034127545,0.00002350576,0.00005314455,0.000032510634],"domain_scores_gemma":[0.99979264,0.00008385578,0.000025392903,0.00001014911,0.00007808879,0.000009972666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034823507,0.00077805674,0.0007767425,0.00047328012,0.00049280364,0.0010978015,0.0008594467,0.000743151,0.0054008365],"category_scores_gemma":[0.00081108726,0.00052846933,0.0005244161,0.00032130635,0.0003457926,0.0004773401,0.00044833036,0.000420102,0.0006991603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013275006,0.000052248448,0.00025662268,0.00014971908,0.000021507169,0.00004159643,0.00003320743,0.9685177,0.016756296,0.001693788,0.00070624123,0.011638327],"study_design_scores_gemma":[0.000030274055,0.00017793085,0.00035346314,0.0000152568045,0.00002684198,0.000016858394,0.000053271193,0.9893434,0.007939753,0.0004956874,0.001537009,0.000010242026],"about_ca_topic_score_codex":0.002743032,"about_ca_topic_score_gemma":0.0033098622,"teacher_disagreement_score":0.0054008365,"about_ca_system_score_codex":0.00092856184,"about_ca_system_score_gemma":0.0010432965,"threshold_uncertainty_score":0.018067598},"labels":[],"label_agreement":null},{"id":"W1992427457","doi":"10.1016/j.jpowsour.2004.11.021","title":"Effect of substrate pre-coating on adhesion of sintered nickel plaques for electrode application in rechargeable batteries","year":2005,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vale (Canada); McMaster University","funders":"McMaster University","keywords":"Electrode; Nickel; Coating; Substrate (aquarium); Materials science; Adhesion; Metallurgy; Chemical engineering; Composite material; Chemistry; Engineering","score_opus":0.009697063303620182,"score_gpt":0.28384373577777583,"score_spread":0.27414667247415564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992427457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971974,0.0011037488,0.00055830117,0.000035480352,0.0000632177,0.0000231939,0.00005912132,0.00002111023,0.0009383766],"genre_scores_gemma":[0.9965791,0.00086724845,0.0013500581,0.000034181234,0.000021486201,0.000018254694,0.00011144679,0.000020029443,0.0009981331],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99974674,0.000040761424,0.000038421596,0.00004409799,0.0000673064,0.00006271164],"domain_scores_gemma":[0.9995246,0.00019791961,0.00006708109,0.00006193854,0.000107207954,0.000041198942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033336712,0.00040482325,0.00050204253,0.0002018621,0.0003122923,0.00047608433,0.0003976615,0.0004736468,0.0015272829],"category_scores_gemma":[0.0007623887,0.00049949175,0.0003355564,0.00024693392,0.00021356088,0.00025993277,0.00025469734,0.0005131977,0.00031710888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020777674,0.000040667426,0.00019019411,0.000101756305,0.000019551933,0.00008024584,0.000052362222,0.000097487624,0.9979132,0.00002074907,0.000035793444,0.0012402486],"study_design_scores_gemma":[0.000011317481,0.00022683216,0.002076161,0.000005760032,0.00002786205,0.00004141251,0.000039389673,0.0003805127,0.9968532,0.0000061292767,0.00032548685,0.0000060219545],"about_ca_topic_score_codex":0.0007334956,"about_ca_topic_score_gemma":0.0020373915,"teacher_disagreement_score":0.0015272829,"about_ca_system_score_codex":0.00016668171,"about_ca_system_score_gemma":0.00018673981,"threshold_uncertainty_score":0.0051092505},"labels":[],"label_agreement":null},{"id":"W1993322157","doi":"10.4271/2011-01-1370","title":"Optimizing Electric Vehicle Battery Life through Battery Thermal Management","year":2011,"lang":"en","type":"article","venue":"SAE International Journal of Engines","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Chrysler (Canada)","funders":"","keywords":"Battery (electricity); Automotive engineering; Electric vehicle; Automotive battery; Electric-vehicle battery; Thermal management of electronic devices and systems; Computer science; Engineering; Environmental science; Mechanical engineering; Power (physics)","score_opus":0.026420139371887554,"score_gpt":0.26222007997585556,"score_spread":0.235799940603968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993322157","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43320045,0.0017776863,0.52351314,0.00040060206,0.000079601334,0.00013126645,0.0003896865,0.0013848782,0.03912272],"genre_scores_gemma":[0.9877922,0.0002806855,0.007422482,0.000022797434,0.00000799648,0.000035091056,0.00009657457,0.0000500836,0.0042919945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990964,0.000021467593,0.0000044730764,0.000014603692,0.00003087394,0.000018823466],"domain_scores_gemma":[0.99993396,0.000016940474,0.000010367005,0.000008618434,0.000025008525,0.000005046494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018484006,0.00033667265,0.00027000945,0.00022121973,0.00021156337,0.00059830054,0.00040294975,0.00023894849,0.0015578119],"category_scores_gemma":[0.00044851543,0.00014316032,0.00019261499,0.0002419231,0.00014888958,0.00081598194,0.00028412082,0.00018404903,0.00041339805],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112095804,0.000085471285,0.0011944493,0.00007551631,0.00001869331,0.000041461335,0.000041706735,0.89944834,0.022073997,0.003195617,0.0013295936,0.07238304],"study_design_scores_gemma":[0.00001342498,0.0001036571,0.00073512335,0.000008252902,0.000018490164,0.00003655631,0.00004576595,0.97677636,0.015298393,0.0034647363,0.0034871667,0.0000119850665],"about_ca_topic_score_codex":0.0010844418,"about_ca_topic_score_gemma":0.0018896646,"teacher_disagreement_score":0.0015578119,"about_ca_system_score_codex":0.00047373353,"about_ca_system_score_gemma":0.00035736716,"threshold_uncertainty_score":0.0052113533},"labels":[],"label_agreement":null},{"id":"W1996219415","doi":"10.6000/1929-6002.2014.03.02.5","title":"Solvent Isotope Effect on Transfer Hydrogenation of H2O with Glycerine under Alkaline Hydrothermal Conditions","year":2014,"lang":"en","type":"article","venue":"Journal of Technology Innovations in Renewable Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; National High-tech Research and Development Program; Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China","keywords":"Chemistry; Dehydrogenation; Hydrothermal circulation; Solvent; Hydrogen; Kinetic isotope effect; Molecule; Inorganic chemistry; Organic chemistry; Catalysis; Chemical engineering; Deuterium","score_opus":0.007861122984351595,"score_gpt":0.2481622757855249,"score_spread":0.2403011528011733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996219415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99550015,0.0006461544,0.002258025,0.000037005146,0.000023856433,0.000020189658,0.0001685879,0.000039295228,0.0013067243],"genre_scores_gemma":[0.99788195,0.0003316447,0.001017585,0.000020284917,0.0000070076594,0.0000096658305,0.00012700619,0.000019145447,0.00058563],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998573,0.000022182303,0.000008586256,0.000033282657,0.00003681926,0.000041743413],"domain_scores_gemma":[0.99987423,0.00004438916,0.00002991991,0.000011825674,0.00002007866,0.00001964892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015310636,0.00034978773,0.00022728724,0.00013941403,0.000112069196,0.00016885163,0.00018888892,0.00020543367,0.00073778245],"category_scores_gemma":[0.00028399978,0.000116821044,0.00016723698,0.00017754221,0.0003216539,0.00037263733,0.00020253187,0.00035587448,0.00013006183],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017427045,0.000006032268,0.0001569581,0.000041254418,0.0000050922026,0.000044168195,0.000026858126,0.000038332695,0.99854326,0.000030171495,0.00001031622,0.0009232883],"study_design_scores_gemma":[0.0000029582286,0.00005779249,0.0004505077,0.0000010421305,0.000003303509,0.000022201259,0.000011376207,0.00011394183,0.9990688,0.000008214067,0.0002574965,0.0000023753971],"about_ca_topic_score_codex":0.00067082694,"about_ca_topic_score_gemma":0.0013028869,"teacher_disagreement_score":0.00073778245,"about_ca_system_score_codex":0.00017174243,"about_ca_system_score_gemma":0.00012991235,"threshold_uncertainty_score":0.0024681687},"labels":[],"label_agreement":null},{"id":"W1998652168","doi":"10.1149/2.032308jes","title":"Effects of Electrode Density on the Safety of NCA Positive Electrode for Li-Ion Batteries","year":2013,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Electrode; Electrolyte; Thermal stability; Materials science; Porosity; Arc (geometry); Ion; Composite material; Chemistry; Analytical Chemistry (journal); Chemical engineering; Chromatography; Organic chemistry; Physical chemistry; Mechanical engineering","score_opus":0.004271258879657503,"score_gpt":0.21901798894874747,"score_spread":0.21474673006908995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998652168","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878671,0.003808245,0.0054146857,0.00024544276,0.00013169467,0.000074207295,0.00015433684,0.00009190622,0.0022123593],"genre_scores_gemma":[0.9932829,0.0012862157,0.0043529617,0.000086911314,0.00003244982,0.000051810326,0.00016521521,0.000023831442,0.0007176724],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99886775,0.0002414489,0.00016468039,0.00014298678,0.00048590818,0.00009723744],"domain_scores_gemma":[0.997068,0.0014218802,0.00026461313,0.00019195136,0.0009467786,0.000106782216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010837002,0.0005907146,0.0005589267,0.00042758678,0.00028325937,0.0006749832,0.0008293509,0.0006846253,0.0011757329],"category_scores_gemma":[0.004222754,0.0004409481,0.000271428,0.0003344383,0.00039401426,0.000890524,0.0004833153,0.0005997407,0.00038412726],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044869343,0.00007151215,0.000805514,0.00022129645,0.000019619274,0.00019911847,0.00010365588,0.00031362948,0.9916681,0.00012113828,0.000085290696,0.005942395],"study_design_scores_gemma":[0.000015091811,0.00037940757,0.002230737,0.000019829886,0.00003265893,0.0002386551,0.00009511957,0.0013168699,0.99482757,0.000050606926,0.0007833446,0.000010267165],"about_ca_topic_score_codex":0.0005391391,"about_ca_topic_score_gemma":0.0011967215,"teacher_disagreement_score":0.0011757329,"about_ca_system_score_codex":0.00029378568,"about_ca_system_score_gemma":0.00020290357,"threshold_uncertainty_score":0.005731225},"labels":[],"label_agreement":null},{"id":"W2000155136","doi":"10.1016/j.jfranklin.2014.04.018","title":"Powertrain architectures of electrified vehicles: Review, classification and comparison","year":2014,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":168,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Powertrain; Electrification; Automotive engineering; Computer science; Work (physics); Electric vehicle; Power (physics); Electricity; Engineering; Electrical engineering; Torque; Mechanical engineering","score_opus":0.02125721633536427,"score_gpt":0.285582439955627,"score_spread":0.26432522362026273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000155136","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0131589845,0.96768004,0.010024866,0.0006755143,0.00040381218,0.00007154943,0.00020853562,0.000058368827,0.0077184197],"genre_scores_gemma":[0.059694786,0.93010855,0.0065045296,0.0002721408,0.00042284568,0.00006404117,0.00064928096,0.000018917412,0.002264853],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99973315,0.000024784686,0.00005116451,0.000055505294,0.00010907997,0.000026415008],"domain_scores_gemma":[0.9992508,0.00030788334,0.000117116724,0.000029898461,0.00026939966,0.000024806228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005760951,0.00090371585,0.00090906164,0.0025960724,0.0001632678,0.0011407825,0.0014625404,0.0006733362,0.0019395096],"category_scores_gemma":[0.0013387653,0.00033035706,0.0004229048,0.0035257747,0.0003169886,0.0023293465,0.00043864816,0.0005821538,0.00055672345],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018130546,0.00013476665,0.001990673,0.013259793,0.00020702713,0.00011462514,0.00010158693,0.007496868,0.0029375758,0.0069023953,0.0057963026,0.9608771],"study_design_scores_gemma":[0.00013355422,0.0017134749,0.01254069,0.017178312,0.0014305522,0.0034444465,0.0010384211,0.017109018,0.014268857,0.020945612,0.9100029,0.00019414687],"about_ca_topic_score_codex":0.0010143685,"about_ca_topic_score_gemma":0.0014747026,"teacher_disagreement_score":0.0025960724,"about_ca_system_score_codex":0.00055318844,"about_ca_system_score_gemma":0.00080063427,"threshold_uncertainty_score":0.0064882636},"labels":[],"label_agreement":null},{"id":"W2000503362","doi":"10.1504/ijpelec.2011.040804","title":"Design and control of a Luo converter for variably loaded hybrid electric vehicle energy storage system","year":2011,"lang":"en","type":"article","venue":"International Journal of Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Collège de Maisonneuve","funders":"","keywords":"Ripple; Capacitor; Waveform; Buck converter; Voltage; Energy storage; Controller (irrigation); Engineering; Electrical engineering; Hybrid power; Control theory (sociology); Power (physics); Electronic engineering; Computer science; Control (management); Physics","score_opus":0.010580471765511107,"score_gpt":0.22656177989218845,"score_spread":0.21598130812667735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000503362","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12750122,0.00071919366,0.8412362,0.00026238494,0.00018196102,0.00024974585,0.00011497466,0.0014646254,0.028269656],"genre_scores_gemma":[0.9750196,0.00015929533,0.01968476,0.00005784682,0.000030520714,0.00011401327,0.000028779494,0.000022489225,0.004882665],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989915,0.000015861562,0.000007650303,0.00002071796,0.00004508484,0.00001159344],"domain_scores_gemma":[0.99990964,0.000017587685,0.000014707819,0.00000722421,0.000043566568,0.000007404836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019775984,0.00027083373,0.0003260131,0.00021333722,0.00039605531,0.00084843196,0.0006615723,0.0002593236,0.0028678486],"category_scores_gemma":[0.00015373029,0.00015745683,0.00016942788,0.0001635687,0.00020206046,0.00027994797,0.00022141937,0.00030871574,0.000486666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011130039,0.0002817286,0.0022157326,0.0010088194,0.00019647428,0.0008106332,0.00054211624,0.18559942,0.43266132,0.023222793,0.005439358,0.3469087],"study_design_scores_gemma":[0.00012878144,0.0005633306,0.00092423096,0.000042814205,0.00006074717,0.00027032688,0.00009108063,0.9341857,0.049791902,0.0017130271,0.012193701,0.000034463388],"about_ca_topic_score_codex":0.0009857876,"about_ca_topic_score_gemma":0.00176892,"teacher_disagreement_score":0.0028678486,"about_ca_system_score_codex":0.00029539134,"about_ca_system_score_gemma":0.0002863939,"threshold_uncertainty_score":0.009593904},"labels":[],"label_agreement":null},{"id":"W2001845773","doi":"10.1109/intlec.2006.251593","title":"Ground Fault Detection by Differential Monitoring of the Float Current","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Custom Security Industries (Canada)","funders":"","keywords":"Ground; Leak detection; Fault detection and isolation; Battery (electricity); Float (project management); Residual-current device; Computer science; Fault (geology); Leakage (economics); Leak; Reliability engineering; Engineering; Electrical engineering; Automotive engineering; Systems engineering; Geology","score_opus":0.011365258086719714,"score_gpt":0.25212425647496356,"score_spread":0.24075899838824386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001845773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74445945,0.001661069,0.23033541,0.0003480656,0.00026014546,0.00013665906,0.0006198588,0.004530238,0.017649097],"genre_scores_gemma":[0.9855737,0.0002045672,0.0124685345,0.00006318296,0.00003124936,0.00001956643,0.000099469595,0.00003097098,0.001508756],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99973696,0.000024145662,0.000011833458,0.000077754055,0.00011128358,0.000038000195],"domain_scores_gemma":[0.9995726,0.000115278846,0.00011757573,0.00004697052,0.000116276206,0.000031206026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016259991,0.00036882094,0.00031425754,0.0015297914,0.00018590057,0.00057041546,0.0004367595,0.00059905834,0.0020475802],"category_scores_gemma":[0.0012236824,0.00015598176,0.000099718985,0.0004764834,0.00024553493,0.00072367454,0.0004635712,0.00034745462,0.00063037494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086911005,0.00012633682,0.024590375,0.00038466303,0.000035470326,0.00070902135,0.00058047526,0.0029640368,0.600114,0.0016539418,0.002217603,0.36575502],"study_design_scores_gemma":[0.00008204488,0.0015824249,0.099228166,0.00014161476,0.0001017906,0.0046330253,0.0003796344,0.09667337,0.7778529,0.0030573567,0.016148416,0.000119268414],"about_ca_topic_score_codex":0.0005246843,"about_ca_topic_score_gemma":0.0006980062,"teacher_disagreement_score":0.0020475802,"about_ca_system_score_codex":0.0002757249,"about_ca_system_score_gemma":0.000114359216,"threshold_uncertainty_score":0.0068498254},"labels":[],"label_agreement":null},{"id":"W2002567114","doi":"10.1109/itec.2013.6573476","title":"Study of the electric power balance in a vehicle for the choice of the battery","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Politecnico di Torino","keywords":"Battery (electricity); Dimensioning; Automotive engineering; Alternator; Automotive battery; Power (physics); Computer science; Electric vehicle; Powertrain; Power Balance; Depth of discharge; Electrical engineering; Engineering; Torque","score_opus":0.0165730584219009,"score_gpt":0.2670784670484778,"score_spread":0.25050540862657694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002567114","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34690636,0.0047723195,0.5657874,0.00051087985,0.00022193821,0.00013629628,0.00018067968,0.00019410267,0.081289954],"genre_scores_gemma":[0.958437,0.0027870194,0.015411167,0.000051169794,0.00009430397,0.00007000948,0.00008844349,0.000053552703,0.023007367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991727,0.000014739834,0.0000031569268,0.000022715138,0.000034469318,0.00000774362],"domain_scores_gemma":[0.9999292,0.000033526532,0.000007690018,0.000005346686,0.000020642456,0.0000036205338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001482781,0.00025037242,0.0002888878,0.0002565195,0.00021446035,0.000676603,0.00029102303,0.00039316344,0.0018913309],"category_scores_gemma":[0.00044217822,0.00009367646,0.00031166148,0.0002977639,0.00041415106,0.000603464,0.00026341833,0.000342657,0.00043549252],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002467082,0.00019050555,0.0059895907,0.00080162473,0.00006294107,0.000961741,0.0011612145,0.32545152,0.23934785,0.23685323,0.0029402622,0.18599285],"study_design_scores_gemma":[0.000016113014,0.0004643514,0.0058554234,0.000105766754,0.000042179654,0.00073503406,0.00051983714,0.8818354,0.023103021,0.0502408,0.037024386,0.000057854893],"about_ca_topic_score_codex":0.0008565077,"about_ca_topic_score_gemma":0.00060872134,"teacher_disagreement_score":0.0018913309,"about_ca_system_score_codex":0.00023983407,"about_ca_system_score_gemma":0.00035331462,"threshold_uncertainty_score":0.0063271523},"labels":[],"label_agreement":null},{"id":"W2002991263","doi":"10.1109/tvt.2012.2210259","title":"An Automotive Onboard 3.3-kW Battery Charger for PHEV Application","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":270,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; Delta-Q Technologies (Canada)","funders":"","keywords":"Battery charger; Battery (electricity); Battery pack; Engineering; Electrical engineering; Automotive engineering; Automotive battery; Automotive industry; Electric vehicle; Power (physics)","score_opus":0.012980265095950889,"score_gpt":0.27406028948365724,"score_spread":0.26108002438770633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002991263","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29890946,0.0009032847,0.6418818,0.00065128977,0.0006008632,0.00066538865,0.000921455,0.005332375,0.05013405],"genre_scores_gemma":[0.90304327,0.000479886,0.058767937,0.00031925042,0.00007682035,0.00021507213,0.0007034459,0.00023467427,0.036159743],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997826,0.0000273667,0.000009104376,0.000036785168,0.00011067026,0.00003346725],"domain_scores_gemma":[0.9998617,0.0000136369,0.000013283463,0.000022858514,0.00007396093,0.000014517234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015144689,0.00044941995,0.00048481536,0.00026806362,0.0002776744,0.00055986375,0.00093785324,0.0006630534,0.0049148365],"category_scores_gemma":[0.0002113569,0.0002015077,0.00048244052,0.00023881867,0.00010019844,0.00047197498,0.00025652343,0.0005261477,0.002854241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053836266,0.00023986402,0.0020870883,0.000733322,0.00012004638,0.0009209399,0.00021628039,0.0066391523,0.7727412,0.0034113456,0.011462414,0.20089002],"study_design_scores_gemma":[0.00021463548,0.0039736303,0.015163278,0.00006598807,0.00023140333,0.0070181997,0.00019462992,0.07708391,0.7400146,0.0013570401,0.15456825,0.000114402406],"about_ca_topic_score_codex":0.0005863293,"about_ca_topic_score_gemma":0.00097041833,"teacher_disagreement_score":0.0049148365,"about_ca_system_score_codex":0.0002378395,"about_ca_system_score_gemma":0.00036902842,"threshold_uncertainty_score":0.016441822},"labels":[],"label_agreement":null},{"id":"W2003015218","doi":"10.1038/424635b","title":"Runaway risk of forming toxic compounds","year":2003,"lang":"en","type":"article","venue":"Nature","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":343,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Regroupement Québécois sur les Matériaux de Pointe","funders":"","keywords":"Thermal runaway; Electrolyte; Lithium (medication); Battery (electricity); Materials science; Electrode; Coating; Nanometre; Ion; Hazard; Lithium-ion battery; Nanotechnology; Forensic engineering; Chemistry; Composite material; Physics; Engineering; Organic chemistry","score_opus":0.007360180478036985,"score_gpt":0.2605975835216103,"score_spread":0.2532374030435733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003015218","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89715105,0.0018327317,0.03528866,0.0020530005,0.00022820299,0.00006420006,0.00035757446,0.00052488514,0.062499654],"genre_scores_gemma":[0.98749673,0.00056696014,0.0022212635,0.00022404279,0.00003758351,0.000016711334,0.00011943343,0.00004434099,0.009272943],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993838,0.0001104961,0.000021940274,0.00009596745,0.0002753128,0.000112483904],"domain_scores_gemma":[0.99650687,0.0015027715,0.0005469316,0.0007148355,0.00051061955,0.00021797864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007914135,0.0003152466,0.00041979816,0.00071152934,0.0007200701,0.0009040319,0.00065600633,0.002049603,0.009659198],"category_scores_gemma":[0.004599178,0.00026963258,0.0005440237,0.00030744338,0.0004885689,0.0010574557,0.0010643891,0.0008295078,0.0014215296],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0069050966,0.0010166268,0.1863111,0.0006532266,0.00091287284,0.013188722,0.0008914447,0.12792519,0.23720512,0.13169236,0.015437795,0.2778604],"study_design_scores_gemma":[0.00030557683,0.005173073,0.07575752,0.00022930234,0.0011804323,0.021847488,0.0017941055,0.14067575,0.4148502,0.27023822,0.067726366,0.00022192956],"about_ca_topic_score_codex":0.0009833135,"about_ca_topic_score_gemma":0.0009148115,"teacher_disagreement_score":0.009659198,"about_ca_system_score_codex":0.00060170033,"about_ca_system_score_gemma":0.0005530959,"threshold_uncertainty_score":0.032313228},"labels":[],"label_agreement":null},{"id":"W2004847247","doi":"10.1109/itsc.2012.6338893","title":"A cost-effective radar system for automotive powertrain control applications","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Powertrain; Automotive industry; Radar; Automotive engineering; Computer science; Automotive electronics; Fuel efficiency; Embedded system; Software; Control system; Engineering; Control engineering; Systems engineering; Torque; Electrical engineering; Operating system; Telecommunications","score_opus":0.01773661275847323,"score_gpt":0.2953031700561198,"score_spread":0.27756655729764657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004847247","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014004527,0.00073861936,0.9657887,0.00043323863,0.00028562284,0.00044009765,0.00013486645,0.003881671,0.014292779],"genre_scores_gemma":[0.313798,0.0007779025,0.6650515,0.0006824699,0.00033593018,0.00049825653,0.0004902138,0.0003531676,0.018012546],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99920684,0.00012929364,0.000044916338,0.000094031995,0.00047370789,0.000051230756],"domain_scores_gemma":[0.99939394,0.00011202535,0.000060506558,0.00013168869,0.0002594654,0.00004235406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071182474,0.000582224,0.00058153685,0.00070065807,0.000381569,0.00087419024,0.0013371789,0.00080705935,0.008516261],"category_scores_gemma":[0.0011507219,0.00028124516,0.00025644543,0.00033260175,0.00021697061,0.0014048336,0.0006752843,0.0007433277,0.0030462388],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038238204,0.00027683316,0.00076452125,0.00056198507,0.00006927373,0.0003147983,0.00017359151,0.009455158,0.43061617,0.030284327,0.011628171,0.51547277],"study_design_scores_gemma":[0.00038992538,0.0028987022,0.003142457,0.00014807847,0.00024459374,0.002400944,0.00011742538,0.20252421,0.4760886,0.0073754354,0.3044815,0.0001881082],"about_ca_topic_score_codex":0.0003212457,"about_ca_topic_score_gemma":0.00044270078,"teacher_disagreement_score":0.008516261,"about_ca_system_score_codex":0.0003942906,"about_ca_system_score_gemma":0.0004935116,"threshold_uncertainty_score":0.028489709},"labels":[],"label_agreement":null},{"id":"W2005924162","doi":"10.1109/tpwrd.2014.2311112","title":"Overvoltages due to Synchronous Tripping of Plug-in Electric-Vehicle Chargers Following Voltage Dips","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Division of Emerging Frontiers in Research and Innovation; Canada Excellence Research Chairs, Government of Canada; U.S. Department of Energy; National Science Foundation","keywords":"Overvoltage; Tripping; Voltage; Electrical engineering; Plug-in; Engineering; Clearance; Grid; Automotive engineering; Computer science; Circuit breaker; Mathematics","score_opus":0.008235169055341296,"score_gpt":0.22884446056871519,"score_spread":0.22060929151337388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005924162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98895735,0.00009513266,0.007795133,0.000042019816,0.000024027213,0.000027111513,0.00012412432,0.000402974,0.002532275],"genre_scores_gemma":[0.99959034,0.000021060025,0.00019667119,0.0000063044467,0.00000283918,0.000002434044,0.00003846948,0.0000060410935,0.00013578436],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968994,0.00006764716,0.000020790632,0.000044299915,0.00011880534,0.00005860396],"domain_scores_gemma":[0.99870825,0.000667276,0.00027121586,0.00012870762,0.00014407781,0.00008044844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029024854,0.00031776377,0.00027148807,0.00066517055,0.00020834764,0.0003824913,0.00034947006,0.00045686623,0.0015294637],"category_scores_gemma":[0.0020912595,0.00013053534,0.00023859083,0.00057724054,0.0003221741,0.00030886824,0.0003418061,0.00045403364,0.00021199044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046072262,0.0007841607,0.19341898,0.0007116677,0.00041502638,0.023151148,0.0027939216,0.15965167,0.3458882,0.0053679524,0.0056214207,0.25758868],"study_design_scores_gemma":[0.00015881508,0.006458808,0.46612898,0.0001230791,0.00034005436,0.011873779,0.0021543377,0.33293232,0.1692247,0.004639374,0.0058478406,0.000117879164],"about_ca_topic_score_codex":0.0015640031,"about_ca_topic_score_gemma":0.0017782433,"teacher_disagreement_score":0.0015640031,"about_ca_system_score_codex":0.0006006715,"about_ca_system_score_gemma":0.00011010522,"threshold_uncertainty_score":0.0051165223},"labels":[],"label_agreement":null},{"id":"W2008219100","doi":"10.1016/j.jpowsour.2011.05.047","title":"Investigation of the thermal properties of a Li-ion pouch-cell by electrothermal impedance spectroscopy","year":2011,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Frailty Network; Bundesministerium für Bildung und Forschung","keywords":"Electrical impedance; Thermal; Dielectric spectroscopy; Materials science; Thermal conduction; Frequency domain; Thermal analysis; Electronic engineering; Analytical Chemistry (journal); Chemistry; Thermodynamics; Electrical engineering; Electrode; Engineering; Computer science; Physics; Composite material","score_opus":0.016071159113490954,"score_gpt":0.2032997020174649,"score_spread":0.18722854290397395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008219100","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923003,0.0004369974,0.00638604,0.00010108972,0.000023088693,0.0000116484625,0.00011496291,0.000055832,0.0005700727],"genre_scores_gemma":[0.99823606,0.00013935792,0.0010685385,0.000017485474,0.0000069234493,0.000006659188,0.00005989252,0.0000065733,0.00045848705],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998543,0.00001297958,0.000008034602,0.000033432327,0.00006893617,0.000022322509],"domain_scores_gemma":[0.9997738,0.00011546612,0.000029116192,0.000026022093,0.000040865714,0.000014813868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023684879,0.00017046025,0.00046008854,0.00021998296,0.00029253634,0.00054996146,0.00051570643,0.00055714016,0.00078902266],"category_scores_gemma":[0.0004962781,0.00014242723,0.00017898768,0.0002474043,0.0004396784,0.0008482222,0.00020342735,0.00037841251,0.00019675212],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017877907,0.000033968958,0.00085862743,0.000045009503,0.000011000377,0.000089279936,0.00005353331,0.0007306718,0.9947292,0.00023672185,0.000059537553,0.0029736205],"study_design_scores_gemma":[0.00001897549,0.0003117877,0.004141748,0.000006300039,0.000023962759,0.00018096331,0.0000921946,0.024401937,0.9694476,0.00025670815,0.0010992426,0.000018586268],"about_ca_topic_score_codex":0.00026434797,"about_ca_topic_score_gemma":0.00026099564,"teacher_disagreement_score":0.00078902266,"about_ca_system_score_codex":0.00017575161,"about_ca_system_score_gemma":0.00015186495,"threshold_uncertainty_score":0.002639532},"labels":[],"label_agreement":null},{"id":"W2008506118","doi":"10.1109/tvt.2014.2302676","title":"Optimal Sizing of the Battery Unit in a Plug-in Electric Vehicle","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sizing; Battery (electricity); Driving cycle; Automotive engineering; Electric vehicle; Energy storage; Engineering; Battery pack; Dimensioning; Metaheuristic; Computer science; Power (physics); Algorithm","score_opus":0.009451369829450908,"score_gpt":0.23112284595978538,"score_spread":0.22167147613033447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008506118","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26440445,0.0013608066,0.6982993,0.00042350008,0.00016047031,0.00033205573,0.00050165225,0.0006312215,0.033886567],"genre_scores_gemma":[0.9234992,0.00034458342,0.073029436,0.00005771674,0.00001716244,0.00016656275,0.00017767922,0.000085762134,0.002621871],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998141,0.00006140964,0.000010157654,0.00003846914,0.00004652285,0.000029462475],"domain_scores_gemma":[0.99979955,0.000107002794,0.000033384487,0.000013487087,0.00003162565,0.00001498992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036465214,0.0010530927,0.0008197934,0.00052628916,0.00031805746,0.0012119684,0.00066251174,0.00068095466,0.0021611648],"category_scores_gemma":[0.0010431071,0.0005941403,0.00047590537,0.0005695992,0.000427158,0.0009090989,0.00040005485,0.0005974928,0.00038331334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006903536,0.00003733759,0.00032374484,0.0001046916,0.00001791959,0.00007208267,0.000029797804,0.96907896,0.0054689706,0.0024970393,0.0006185343,0.021681989],"study_design_scores_gemma":[0.000016727097,0.00013167413,0.0004298909,0.000015081295,0.000022319658,0.000046675294,0.000060139642,0.991994,0.0027830724,0.0033926868,0.0010990581,0.000008626497],"about_ca_topic_score_codex":0.0027609605,"about_ca_topic_score_gemma":0.0035282047,"teacher_disagreement_score":0.0027609605,"about_ca_system_score_codex":0.0007673428,"about_ca_system_score_gemma":0.001104706,"threshold_uncertainty_score":0.0072298646},"labels":[],"label_agreement":null},{"id":"W2010730438","doi":"10.1016/j.jpowsour.2006.04.111","title":"Overcharge studies of carbon fiber composite-based lithium-ion cells","year":2006,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department of Environment and Conservation, Government of Newfoundland and Labrador","keywords":"Overcharge; Separator (oil production); Anode; Cathode; Composite number; Electrolyte; Materials science; Fiber; Lithium (medication); Chemical engineering; Composite material; Chemistry; Analytical Chemistry (journal); Electrode; Battery (electricity); Organic chemistry","score_opus":0.015077829636433468,"score_gpt":0.2643309610419837,"score_spread":0.24925313140555025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010730438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979151,0.000689993,0.00019806976,0.000022601009,0.000022696999,0.000009666972,0.000052905132,0.000009982323,0.0010789616],"genre_scores_gemma":[0.9986486,0.00031013179,0.00010450326,0.000012934561,0.0000069180714,0.0000032818105,0.00006528057,0.0000042742017,0.00084413413],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997155,0.000017970926,0.000012974733,0.000031431227,0.00015460182,0.000067490626],"domain_scores_gemma":[0.9997156,0.00006778704,0.000023935507,0.000017256729,0.00014664947,0.000028611914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025023805,0.00023476442,0.00032856953,0.00042197818,0.0006202825,0.0005424822,0.0004713882,0.0004025286,0.0020084719],"category_scores_gemma":[0.00044235616,0.000092325645,0.00023026664,0.0004479179,0.00040811315,0.00067483494,0.00025901967,0.00037359132,0.00018426993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016258083,0.00018455714,0.0018665626,0.00028008883,0.00003987497,0.00040895486,0.00041316668,0.002542467,0.9782763,0.0007677124,0.00040613336,0.013188328],"study_design_scores_gemma":[0.00003267532,0.00083794526,0.007034552,0.00001845184,0.00003202148,0.00017891361,0.00046780313,0.010766154,0.97755855,0.00016375941,0.0028860122,0.000023161016],"about_ca_topic_score_codex":0.0048403833,"about_ca_topic_score_gemma":0.0068056593,"teacher_disagreement_score":0.0048403833,"about_ca_system_score_codex":0.0006177147,"about_ca_system_score_gemma":0.00022231415,"threshold_uncertainty_score":0.009624422},"labels":[],"label_agreement":null},{"id":"W2012346040","doi":"10.1016/j.ress.2012.12.011","title":"A Bayesian framework for on-line degradation assessment and residual life prediction of secondary batteries inspacecraft","year":2012,"lang":"en","type":"article","venue":"Reliability Engineering & System Safety","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":157,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Residual; Particle filter; Degradation (telecommunications); Population; Battery (electricity); Bayesian probability; Engineering; Computer science; Reliability engineering; Algorithm; Kalman filter; Artificial intelligence; Electronic engineering","score_opus":0.018544965828649614,"score_gpt":0.27482024554771434,"score_spread":0.2562752797190647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012346040","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009806806,0.00018026323,0.98857355,0.00008852967,0.0000131839315,0.000025142364,0.00010264009,0.00023819518,0.00097176625],"genre_scores_gemma":[0.78729326,0.00056502165,0.20238446,0.00013096965,0.000111388086,0.00018374198,0.00077819923,0.00016074492,0.008392277],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992848,0.00023412985,0.00003198917,0.0001660074,0.00019567636,0.000087372704],"domain_scores_gemma":[0.9982982,0.000988664,0.00014910017,0.0000921911,0.0003957381,0.0000760931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002318555,0.00088519196,0.0018370495,0.0008688631,0.0004872088,0.0016180512,0.0022924794,0.0017722355,0.00236004],"category_scores_gemma":[0.0049911374,0.0010979411,0.0009798724,0.00070198975,0.0008467339,0.0015548822,0.0010378975,0.0013982181,0.0005634696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042661515,0.000027003269,0.00033038072,0.00002850167,0.000024777797,0.000033405282,0.000020766256,0.9717847,0.00061588886,0.0049043014,0.0005394425,0.02164821],"study_design_scores_gemma":[0.0000022188647,0.0000049715163,0.00007490136,0.0000025245554,0.0000036638057,0.000003896011,0.0000016367826,0.99776495,0.00008646842,0.0019515074,0.000100455036,0.0000028389836],"about_ca_topic_score_codex":0.026216434,"about_ca_topic_score_gemma":0.02472204,"teacher_disagreement_score":0.026216434,"about_ca_system_score_codex":0.0012581724,"about_ca_system_score_gemma":0.0018727419,"threshold_uncertainty_score":0.05212772},"labels":[],"label_agreement":null},{"id":"W2013028035","doi":"10.1631/jzus.a071223","title":"An iterative computation method for interpreting and extending an analytical battery model","year":2007,"lang":"en","type":"article","venue":"Journal of Zhejiang University. Science A","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Battery (electricity); Computation; GRASP; Process (computing); Computer science; Iterative and incremental development; State of charge; Power (physics); Scheduling (production processes); Simulation; Algorithm; Mathematical optimization; Physics; Mathematics","score_opus":0.028850735923492632,"score_gpt":0.3663921419540976,"score_spread":0.33754140603060495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013028035","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002860118,0.00001976935,0.994987,0.00003590852,0.00001593177,0.000021744067,0.000012722112,0.00014645429,0.001900482],"genre_scores_gemma":[0.15832049,0.00013970886,0.8375897,0.00006660584,0.00002916848,0.00022090285,0.00006055371,0.00021998539,0.0033529203],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976355,0.00007442098,0.000014761762,0.000030522653,0.00009263272,0.000024167246],"domain_scores_gemma":[0.9994599,0.00024820448,0.00004274422,0.00009543971,0.00013813078,0.000015524485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006190732,0.0006137652,0.000457237,0.00049922446,0.00046787536,0.00054649706,0.00087241293,0.00055565895,0.002690564],"category_scores_gemma":[0.0025204313,0.00027754338,0.0007641926,0.0004037528,0.0006411096,0.00092589424,0.00087148027,0.0009172195,0.000662634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004264642,0.00005274333,0.0006757471,0.00012684266,0.000026585663,0.00028440886,0.00027910748,0.78660077,0.014237353,0.12170934,0.0016208955,0.0743435],"study_design_scores_gemma":[0.000003586808,0.000009839619,0.00002200783,0.00000447626,0.0000026490427,0.000028625736,0.000009552114,0.98884016,0.00086030544,0.008485904,0.0017280742,0.000004683213],"about_ca_topic_score_codex":0.0044169375,"about_ca_topic_score_gemma":0.0037336797,"teacher_disagreement_score":0.0044169375,"about_ca_system_score_codex":0.00046313964,"about_ca_system_score_gemma":0.0012020556,"threshold_uncertainty_score":0.009000778},"labels":[],"label_agreement":null},{"id":"W2014397645","doi":"10.1002/cjce.5450810349","title":"Effect of Gas Holdup on Current Density Distribution in Horizontal Electrolysis Cell","year":2003,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electroplating; Electrolysis; Current density; Electrolytic cell; Current (fluid); Electrolyte; Mechanics; Materials science; Polymer electrolyte membrane electrolysis; Distribution (mathematics); Electrode; Chemistry; Electrical engineering; Nanotechnology; Physics; Engineering; Mathematics","score_opus":0.00414979544015089,"score_gpt":0.20425857337829287,"score_spread":0.20010877793814197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014397645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99511456,0.00047172594,0.0029261904,0.0000743503,0.000023068327,0.000007813286,0.000079746154,0.00017997519,0.0011226427],"genre_scores_gemma":[0.99930143,0.0000734697,0.00030620696,0.000012791798,0.000004635857,0.0000026005148,0.00002726789,0.00001135765,0.00026033883],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997379,0.000021605509,0.0000143759235,0.000056010293,0.000109881934,0.00006010735],"domain_scores_gemma":[0.99847335,0.0008548791,0.00018134061,0.0001136618,0.00030066315,0.00007609512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002517039,0.00019082025,0.00026359368,0.0002854842,0.00023992122,0.00057344855,0.00037336844,0.00034295733,0.0023295062],"category_scores_gemma":[0.0012612585,0.00021693297,0.00013473802,0.00028499876,0.00032703386,0.00048065837,0.0002121253,0.00032264774,0.00032866382],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072753837,0.00005184182,0.0019290021,0.00006993412,0.000016643222,0.00021854842,0.00014160505,0.0030011344,0.98341745,0.000302238,0.00016014247,0.00996392],"study_design_scores_gemma":[0.000013481624,0.0003786043,0.0031510112,0.0000056439694,0.000016760545,0.00008227437,0.000073239804,0.0073978393,0.9882506,0.00005359677,0.00056879484,0.00000820133],"about_ca_topic_score_codex":0.0011345985,"about_ca_topic_score_gemma":0.00088143145,"teacher_disagreement_score":0.0023295062,"about_ca_system_score_codex":0.00042313302,"about_ca_system_score_gemma":0.00024894328,"threshold_uncertainty_score":0.0077929497},"labels":[],"label_agreement":null},{"id":"W2014544957","doi":"10.1109/tvt.2011.2177483","title":"Two-Stage Energy Management Control of Fuel Cell Plug-In Hybrid Electric Vehicles Considering Fuel Cell Longevity","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":145,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Proton exchange membrane fuel cell; Energy management; Controller (irrigation); Automotive engineering; Engineering; Battery (electricity); Model predictive control; Electric vehicle; Fuel efficiency; Control theory (sociology); Computer science; Energy (signal processing); Fuel cells; Control (management)","score_opus":0.011947185912376045,"score_gpt":0.215218269338707,"score_spread":0.20327108342633096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014544957","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30393124,0.00041862566,0.6829089,0.00022322718,0.00010314378,0.00014313105,0.000055244913,0.00046278237,0.011753743],"genre_scores_gemma":[0.99472356,0.00005150296,0.00391457,0.0000125875285,0.000006945934,0.000032344607,0.0000123637155,0.0000039714173,0.0012421011],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999879,0.00002363456,0.0000064847873,0.000030890547,0.000039189512,0.000020768068],"domain_scores_gemma":[0.9998517,0.000053505435,0.000029868175,0.0000093372055,0.000046885565,0.000008642713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029676323,0.00061785686,0.00040449636,0.00015801695,0.0003085048,0.0007043278,0.0005935967,0.00042152966,0.0010503968],"category_scores_gemma":[0.00041091358,0.00022889569,0.0002538031,0.00012870277,0.00029025105,0.00036626225,0.00040485934,0.00039810833,0.000088005756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028440106,0.00010899373,0.00080156943,0.00014839652,0.00004867533,0.000277556,0.00012871169,0.9213326,0.033394445,0.0037662704,0.0004605366,0.03924777],"study_design_scores_gemma":[0.000018246832,0.0001301897,0.00028400702,0.0000026288733,0.000010378127,0.000015948564,0.000009074262,0.99446785,0.004332213,0.00040493003,0.00031977968,0.0000047158974],"about_ca_topic_score_codex":0.004474591,"about_ca_topic_score_gemma":0.004311485,"teacher_disagreement_score":0.004474591,"about_ca_system_score_codex":0.00040491048,"about_ca_system_score_gemma":0.00051910366,"threshold_uncertainty_score":0.008897066},"labels":[],"label_agreement":null},{"id":"W2014611587","doi":"10.1016/j.jpowsour.2014.02.004","title":"A theoretical and computational study of lithium-ion battery thermal management for electric vehicles using heat pipes","year":2014,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":275,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computational fluid dynamics; Battery pack; Battery (electricity); Heat pipe; Thermal; Materials science; Lithium-ion battery; Forced convection; Heat generation; Transient (computer programming); Convection; Mechanics; Lithium (medication); Thermodynamics; Mechanical engineering; Heat transfer; Nuclear engineering; Engineering; Power (physics); Computer science; Physics","score_opus":0.010574304806895892,"score_gpt":0.26373270340025284,"score_spread":0.2531583985933569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014611587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48780864,0.0038848044,0.23008056,0.006623992,0.0006263762,0.00022538578,0.00053556927,0.00024701975,0.26996768],"genre_scores_gemma":[0.9772529,0.0007076887,0.008058496,0.00018236636,0.00013142022,0.00009175311,0.00006646284,0.00006684959,0.013441994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997992,0.00007970074,0.000006955637,0.00002158414,0.000045509398,0.000047150836],"domain_scores_gemma":[0.9989091,0.000827441,0.000048156155,0.00004532022,0.000121039164,0.00004900733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006033633,0.0005754489,0.00094090396,0.0007647783,0.0013071906,0.001616012,0.0016686909,0.0020093943,0.008616533],"category_scores_gemma":[0.0031161355,0.000693132,0.0009900173,0.0007150147,0.00238504,0.002098093,0.0011146569,0.0013238366,0.0003496402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026838186,0.000074585296,0.00036867737,0.000058044116,0.000009783442,0.00006975012,0.000053090727,0.93382645,0.00030381343,0.06293405,0.00064796716,0.0016269307],"study_design_scores_gemma":[0.000007844092,0.000007119535,0.000089246234,0.000005081948,0.0000030428205,0.0000058908636,0.000029666682,0.993694,0.000052096206,0.0058279308,0.00027486787,0.0000032279086],"about_ca_topic_score_codex":0.016451,"about_ca_topic_score_gemma":0.0111864405,"teacher_disagreement_score":0.016451,"about_ca_system_score_codex":0.0013082413,"about_ca_system_score_gemma":0.0015442711,"threshold_uncertainty_score":0.032710493},"labels":[],"label_agreement":null},{"id":"W2014709097","doi":"10.4271/2014-01-1851","title":"Comparison of Optimization Techniques for Lithium-Ion Battery Model Parameter Estimation","year":2014,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Lithium (medication); Computer science; Battery (electricity); Estimation theory; Lithium-ion battery; Algorithm; Physics; Thermodynamics; Power (physics); Medicine","score_opus":0.026391133306248277,"score_gpt":0.31038197436029513,"score_spread":0.28399084105404687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014709097","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014108658,0.0011428318,0.97808576,0.00016941661,0.000043601707,0.000055541914,0.000088224486,0.0011177238,0.0051882956],"genre_scores_gemma":[0.3914727,0.0018893839,0.5980973,0.00018954271,0.00006396161,0.00027830913,0.0008190459,0.000610996,0.006578687],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995396,0.00018366905,0.000039058028,0.000064657885,0.00013610027,0.000036933863],"domain_scores_gemma":[0.9986212,0.0009023467,0.00006706132,0.00007894034,0.00031218323,0.000018284392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00134711,0.0013062267,0.000922798,0.0008734875,0.00040163397,0.0008818435,0.0011248871,0.00093630067,0.0035746354],"category_scores_gemma":[0.0043967906,0.00049165555,0.0010622952,0.0009442407,0.00024401215,0.0010572396,0.0006163721,0.00096293294,0.0009806402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001910194,0.00009056912,0.00071590446,0.00016759492,0.000090221096,0.000043520697,0.000058212583,0.77591443,0.0018713289,0.003221424,0.0015215798,0.2161143],"study_design_scores_gemma":[0.000005434174,0.000018089313,0.0002110134,0.000009970727,0.000008747972,0.000010457547,0.000012432248,0.9979049,0.0006975586,0.00054382393,0.0005718463,0.0000058471232],"about_ca_topic_score_codex":0.012594783,"about_ca_topic_score_gemma":0.007517661,"teacher_disagreement_score":0.012594783,"about_ca_system_score_codex":0.0005681558,"about_ca_system_score_gemma":0.0010080285,"threshold_uncertainty_score":0.025042951},"labels":[],"label_agreement":null},{"id":"W2015650469","doi":"10.1109/iecon.2012.6388671","title":"Low-volume power supply for vehicular fuel injection systems","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Capacitor; Controller (irrigation); Power (physics); Automotive engineering; Capacitance; Volume (thermodynamics); Boost converter; Buck converter; Electrolytic capacitor; Reliability (semiconductor); Computer science; Solenoid; Engineering; Electrical engineering; Voltage; Physics","score_opus":0.011760869977736519,"score_gpt":0.24854108825877594,"score_spread":0.23678021828103943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015650469","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12991737,0.004927131,0.82647693,0.00071174256,0.00052567414,0.00018467897,0.0004246642,0.004559218,0.032272674],"genre_scores_gemma":[0.93270856,0.001532578,0.043373834,0.00019558807,0.00038700114,0.000090279886,0.0003908821,0.000287827,0.021033416],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980646,0.000020406347,0.000008445874,0.000018516721,0.00013234335,0.0000138829],"domain_scores_gemma":[0.99986815,0.000033988308,0.0000140976745,0.0000128697875,0.000060541508,0.0000103276725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012290102,0.0002756941,0.00034342374,0.00033292372,0.0002762943,0.00053599325,0.0006162849,0.00029181485,0.0048771435],"category_scores_gemma":[0.00036617112,0.000112455746,0.00011094837,0.00031704208,0.00016128337,0.00065005,0.0003306028,0.00032125457,0.0020996958],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062011986,0.00007853076,0.0015343181,0.00090566993,0.000033063166,0.0005144942,0.00030890486,0.0036985867,0.5541488,0.012087591,0.0064703934,0.41959953],"study_design_scores_gemma":[0.00013891232,0.00130129,0.0031699776,0.00017678102,0.0000992987,0.0020620083,0.00020966414,0.062289428,0.68113583,0.013605884,0.23574653,0.00006439043],"about_ca_topic_score_codex":0.00017077487,"about_ca_topic_score_gemma":0.0004051721,"teacher_disagreement_score":0.0048771435,"about_ca_system_score_codex":0.0002355276,"about_ca_system_score_gemma":0.00019541834,"threshold_uncertainty_score":0.016315699},"labels":[],"label_agreement":null},{"id":"W2016917815","doi":"10.4271/2012-01-2237","title":"Power Transmission Using High Voltage DC to Decrease Infrastructure Burden","year":2012,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Voltage; Power (physics); Transmission (telecommunications); Power transmission; Computer science; Electrical engineering; Electronic engineering; Telecommunications; Engineering; Physics","score_opus":0.010800003438821277,"score_gpt":0.26312822379558864,"score_spread":0.2523282203567674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016917815","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17501266,0.0009149116,0.5664233,0.0010744688,0.0010273887,0.0003432961,0.00086720864,0.008605199,0.24573156],"genre_scores_gemma":[0.9307935,0.000287009,0.02417178,0.00024678264,0.00019639231,0.00004601315,0.00044509835,0.00045007028,0.04336327],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99979514,0.00003130169,0.000011535163,0.000046305344,0.0000865891,0.000029031913],"domain_scores_gemma":[0.99934465,0.000097424905,0.00004941639,0.000103351646,0.0003686292,0.000036531375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015301544,0.000572201,0.00029957548,0.00078994915,0.0008576873,0.0011522515,0.00081451173,0.00028254784,0.024662504],"category_scores_gemma":[0.0007486926,0.00018104035,0.00019201482,0.0011081969,0.0001492465,0.000827069,0.00033678627,0.0006771542,0.0033118858],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092196756,0.0009034887,0.0039344653,0.0009171771,0.000117377786,0.0003849176,0.000335596,0.048153583,0.24966799,0.019500315,0.055507917,0.61965525],"study_design_scores_gemma":[0.0005766841,0.0016370147,0.016725168,0.00038284436,0.0005971889,0.0016627352,0.0006227437,0.27608812,0.43918097,0.009375324,0.25305083,0.00010036043],"about_ca_topic_score_codex":0.0024094458,"about_ca_topic_score_gemma":0.006498578,"teacher_disagreement_score":0.024662504,"about_ca_system_score_codex":0.00042309513,"about_ca_system_score_gemma":0.00043692937,"threshold_uncertainty_score":0.08250427},"labels":[],"label_agreement":null},{"id":"W2016991035","doi":"10.1109/vppc.2010.5729163","title":"Modeling and simulation of switched capacitor converters for electric vehicle energy storage systems","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Converters; Ripple; Capacitor; Switched capacitor; Computer science; Controller (irrigation); Energy storage; Waveform; Voltage; Buck converter; Electrical engineering; Electronic engineering; Power (physics); Control theory (sociology); Engineering; Physics","score_opus":0.014558988068567341,"score_gpt":0.2470717943767235,"score_spread":0.23251280630815616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016991035","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08299194,0.0012177445,0.84158,0.00071218814,0.00032436033,0.00026188482,0.001531846,0.00241123,0.06896886],"genre_scores_gemma":[0.9185235,0.0011248795,0.056382187,0.00012751459,0.00006238329,0.0005390426,0.00088800315,0.00030192852,0.02205054],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998305,0.000037200687,0.000009982615,0.000017323253,0.00008085637,0.00002408906],"domain_scores_gemma":[0.9997801,0.00009754119,0.000017319739,0.000022201732,0.000069518406,0.000013346158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002644773,0.0007231468,0.00077600486,0.00046862548,0.0005547157,0.0011095887,0.0015238023,0.0013198516,0.007911748],"category_scores_gemma":[0.00079072564,0.0004048528,0.00060543575,0.0006798665,0.00033169956,0.0009941198,0.00042023897,0.0009179347,0.0010410794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020687983,0.000015873695,0.00016248152,0.0000429424,0.000014007417,0.000053698892,0.000024391957,0.98941046,0.0011468432,0.0050753937,0.0005667829,0.0034664264],"study_design_scores_gemma":[0.000005739597,0.0000066474217,0.00004812296,0.0000039663296,0.00000251837,0.000009006158,0.000007212131,0.9973271,0.00035508073,0.0011221223,0.0011097242,0.0000027566166],"about_ca_topic_score_codex":0.013357781,"about_ca_topic_score_gemma":0.008684713,"teacher_disagreement_score":0.013357781,"about_ca_system_score_codex":0.00087653735,"about_ca_system_score_gemma":0.001026456,"threshold_uncertainty_score":0.026560068},"labels":[],"label_agreement":null},{"id":"W2017578510","doi":"10.1016/j.jpowsour.2011.04.024","title":"Experimental simulation of internal short circuit in Li-ion and Li-ion-polymer cells","year":2011,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":156,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Circulatory and Respiratory Health","keywords":"Ion; Pinch; Materials science; Electrode; Electronic circuit; Internal heating; Voltage; Short circuit; Thermal; Polymer; Thermal stability; Optoelectronics; Nuclear engineering; Electrical engineering; Composite material; Chemistry; Mechanical engineering; Engineering; Chemical engineering; Physics; Thermodynamics","score_opus":0.026750397283737005,"score_gpt":0.27399076050513327,"score_spread":0.24724036322139625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017578510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99109495,0.00007877265,0.0022223596,0.00012782686,0.00003490309,0.000016497495,0.0004276455,0.000183857,0.005813256],"genre_scores_gemma":[0.9988065,0.000022127524,0.0002481113,0.000010103211,0.0000026247092,0.000008501261,0.00010335096,0.000016090902,0.0007825729],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986386,0.000012651732,0.0000065659606,0.000020720947,0.000049645045,0.00004643527],"domain_scores_gemma":[0.9992536,0.0004349277,0.000050200306,0.000064163214,0.00014919988,0.000047947993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018894151,0.00028250748,0.00041710993,0.00024958162,0.0004752607,0.0005338788,0.0009825274,0.00074469397,0.0064970045],"category_scores_gemma":[0.0009245767,0.0002119474,0.0003658032,0.0004048227,0.000540508,0.00049610593,0.00024239595,0.00060607656,0.00033962817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011693841,0.00050162326,0.0077711456,0.00032849383,0.00005883266,0.0006406483,0.00037266224,0.88974494,0.08112696,0.0035282294,0.0020295293,0.012727563],"study_design_scores_gemma":[0.00008676252,0.00044920013,0.0030401691,0.000016089189,0.000021932356,0.000049275994,0.00013598261,0.924349,0.07024678,0.00060184073,0.0009811003,0.000021818283],"about_ca_topic_score_codex":0.0050181774,"about_ca_topic_score_gemma":0.0035163073,"teacher_disagreement_score":0.0064970045,"about_ca_system_score_codex":0.0009079212,"about_ca_system_score_gemma":0.00047140772,"threshold_uncertainty_score":0.021734595},"labels":[],"label_agreement":null},{"id":"W2017773969","doi":"10.1109/itec.2012.6243500","title":"Development of a bi-directional off-board level-3 quick charging station for electric bus","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Battery (electricity); Charging station; Electric vehicle; Grid; Electrical engineering; Computer science; Automotive engineering; Power (physics); Engineering","score_opus":0.04800901956785564,"score_gpt":0.2985280993306138,"score_spread":0.25051907976275817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017773969","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12682222,0.000295561,0.85117364,0.00024786263,0.0002975458,0.00048568714,0.0002909202,0.005155287,0.0152314035],"genre_scores_gemma":[0.82981294,0.00025043817,0.14936018,0.00018140028,0.000046661124,0.00016931053,0.00041312905,0.00017209869,0.019593783],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983,0.000021558593,0.0000108018285,0.000019905476,0.00009789571,0.000019780427],"domain_scores_gemma":[0.99978155,0.00002607394,0.000021869046,0.000037434707,0.00010590586,0.00002724425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000234873,0.0003093315,0.00038054076,0.0003251217,0.00021215685,0.0006586821,0.0011374088,0.0005771674,0.0048454534],"category_scores_gemma":[0.00039146084,0.0001956443,0.0003012866,0.00024770052,0.00012432027,0.0005912658,0.0003978187,0.0005001599,0.0014712814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063901406,0.00029944317,0.004163386,0.0008050773,0.00010661672,0.00044381036,0.00035313593,0.034533978,0.5449279,0.01078518,0.011142741,0.39179975],"study_design_scores_gemma":[0.0002741938,0.003656608,0.0071606054,0.0000693985,0.00013312337,0.0015748321,0.00016297647,0.29995108,0.51595026,0.0017618135,0.16917437,0.00013081361],"about_ca_topic_score_codex":0.00046571708,"about_ca_topic_score_gemma":0.0005931785,"teacher_disagreement_score":0.0048454534,"about_ca_system_score_codex":0.00028637916,"about_ca_system_score_gemma":0.0004239977,"threshold_uncertainty_score":0.016209602},"labels":[],"label_agreement":null},{"id":"W2018222535","doi":"10.1016/j.jpowsour.2014.10.007","title":"An experimental study of heat pipe thermal management system with wet cooling method for lithium ion batteries","year":2014,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":324,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Heat pipe; Water cooling; Nuclear engineering; Battery (electricity); Battery pack; Heat transfer; Passive cooling; Thermal; Evaporation; Evaporative cooler; Range (aeronautics); Lithium (medication); Materials science; Air cooling; Active cooling; Computer cooling; Mechanical engineering; Thermodynamics; Thermal management of electronic devices and systems; Engineering; Composite material","score_opus":0.01353573391138219,"score_gpt":0.2921668963466284,"score_spread":0.2786311624352462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018222535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953548,0.00014974797,0.0032736326,0.00003026381,0.00005202268,0.00006341259,0.00008895555,0.000069670554,0.00091752433],"genre_scores_gemma":[0.99781054,0.000090604895,0.0010489934,0.0000068592203,0.000009243884,0.000037648115,0.00003754292,0.000009319904,0.00094923377],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997427,0.000041181916,0.000017103725,0.000055691457,0.000096741576,0.000046520374],"domain_scores_gemma":[0.999681,0.00008606789,0.000040446994,0.00004869017,0.000118987504,0.00002493053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032270158,0.00036570034,0.00040988837,0.00025512485,0.0005818279,0.00032908618,0.00069532386,0.00037006507,0.0027935954],"category_scores_gemma":[0.0004689859,0.00022635149,0.00037649483,0.0002426325,0.00039280587,0.0008230739,0.00026531934,0.0003162864,0.00021519097],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020315205,0.0012665372,0.0032609396,0.00072782044,0.000042379463,0.00023182014,0.00045014184,0.0056817667,0.96361226,0.0004602773,0.00055836193,0.021676224],"study_design_scores_gemma":[0.00021433142,0.0120326355,0.018470768,0.000025418365,0.0001455894,0.00018612576,0.0006242556,0.030928439,0.93394756,0.00021000493,0.0031493143,0.00006551542],"about_ca_topic_score_codex":0.00075417565,"about_ca_topic_score_gemma":0.0007843893,"teacher_disagreement_score":0.0027935954,"about_ca_system_score_codex":0.00026423257,"about_ca_system_score_gemma":0.00031861317,"threshold_uncertainty_score":0.009345531},"labels":[],"label_agreement":null},{"id":"W2019930787","doi":"10.1109/apec.2013.6520492","title":"A low-volume power management module for portable applications based on a multi-output switched-capacitor circuit","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Switched capacitor; Capacitor; Converters; Power (physics); Reduction (mathematics); Buck converter; Computer science; Power management; Battery (electricity); Electronic engineering; Electrical engineering; Voltage; Topology (electrical circuits); Low voltage; Volume (thermodynamics); Engineering; Physics; Mathematics","score_opus":0.020041648459891835,"score_gpt":0.24713803372083695,"score_spread":0.2270963852609451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019930787","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20887934,0.0013852271,0.74319077,0.00051565666,0.00045697636,0.0005070694,0.0007732969,0.008516551,0.035775162],"genre_scores_gemma":[0.77067906,0.00074432127,0.19223651,0.00054774364,0.00025727766,0.00024549934,0.0005983961,0.0003780449,0.034313094],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999088,0.000006012425,0.0000035837445,0.000018747705,0.00005180467,0.000011057656],"domain_scores_gemma":[0.99993277,0.000011997491,0.0000072189646,0.000011141035,0.000028281696,0.000008601821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007429483,0.00039073796,0.00025211772,0.00041102324,0.00027124898,0.00046391535,0.0016499094,0.00043633187,0.0065188603],"category_scores_gemma":[0.00014762998,0.00023492696,0.00020015694,0.00047040498,0.00010016023,0.00075481844,0.00026267674,0.00039578567,0.0014496448],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016749621,0.00010814264,0.0005930197,0.0003596112,0.000042157943,0.0003887023,0.00006748471,0.001675709,0.78826946,0.002591219,0.0041370085,0.20160007],"study_design_scores_gemma":[0.0001293677,0.0013603695,0.006449989,0.000079060155,0.00014636051,0.0031232762,0.000060191127,0.05675795,0.8387675,0.0019277129,0.09110762,0.00009050065],"about_ca_topic_score_codex":0.00033563704,"about_ca_topic_score_gemma":0.0009690943,"teacher_disagreement_score":0.0065188603,"about_ca_system_score_codex":0.00021006128,"about_ca_system_score_gemma":0.00027967157,"threshold_uncertainty_score":0.02180779},"labels":[],"label_agreement":null},{"id":"W2019954563","doi":"10.1109/itec.2012.6243480","title":"Short term power demand forecasting in light- and heavy-duty electric vehicles through linear prediction method","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Bottleneck; Computer science; Term (time); Duty cycle; Battery capacity; Battery (electricity); Power (physics); Automotive engineering; Demand forecasting; Wavelet; Engineering; Voltage; Operations research; Electrical engineering; Artificial intelligence","score_opus":0.033030673906397946,"score_gpt":0.30503719549281816,"score_spread":0.2720065215864202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019954563","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07360075,0.00021244459,0.9241698,0.00011637074,0.0000369747,0.000020779016,0.00007541622,0.00059180334,0.0011756229],"genre_scores_gemma":[0.9406664,0.000222265,0.05690666,0.000029732231,0.000026399088,0.000036811733,0.00014840138,0.000034331093,0.0019289512],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984264,0.00003383838,0.000011185957,0.00003897575,0.00005276412,0.000020565552],"domain_scores_gemma":[0.999688,0.00016399327,0.000037451915,0.00002155586,0.00007694307,0.000012016377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003558041,0.0003448039,0.00041668673,0.00027161234,0.0002116251,0.00039107515,0.000543928,0.0003578678,0.00067242875],"category_scores_gemma":[0.0009696273,0.00026375207,0.00030903143,0.0003984337,0.00016780612,0.00059893075,0.00020011877,0.00062018225,0.00023720201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012186308,0.00005064457,0.003155936,0.00005609715,0.000032144006,0.00009464603,0.000050870385,0.85164016,0.005624039,0.001576333,0.0007463068,0.13685094],"study_design_scores_gemma":[0.0000010571135,0.0000070072897,0.0002057862,0.000001079739,0.0000014683666,0.000004419257,0.0000025220543,0.99917775,0.00037787622,0.00016050259,0.000058519778,0.0000020604343],"about_ca_topic_score_codex":0.0091666635,"about_ca_topic_score_gemma":0.0065146186,"teacher_disagreement_score":0.0091666635,"about_ca_system_score_codex":0.00027688898,"about_ca_system_score_gemma":0.0003660816,"threshold_uncertainty_score":0.018226624},"labels":[],"label_agreement":null},{"id":"W2020491429","doi":"10.4271/2015-01-1234","title":"Internal Resistance Optimization Utilizing “Just in Time” Control","year":2015,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Resistance (ecology); Computer science; Control (management); Artificial intelligence","score_opus":0.019915955448258235,"score_gpt":0.2703171835920171,"score_spread":0.25040122814375887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020491429","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.109275594,0.00023414863,0.81678814,0.00026912586,0.00026934696,0.00015894319,0.00006385281,0.0025214532,0.07041934],"genre_scores_gemma":[0.9554698,0.00007589865,0.035390954,0.000071095805,0.00003102884,0.00007133338,0.00005017006,0.0001363384,0.00870341],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981457,0.00002654659,0.00001063858,0.00004083282,0.00006854547,0.00003891883],"domain_scores_gemma":[0.9998141,0.000034427452,0.000040997704,0.000029752598,0.00006734875,0.000013382196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002463336,0.00055469584,0.0004692929,0.00029896435,0.00021368414,0.0010933888,0.0008678892,0.0004172412,0.0045606922],"category_scores_gemma":[0.00047326548,0.00015676697,0.00033889528,0.0001862483,0.0003448251,0.00056987174,0.00038747778,0.00042921054,0.00077292515],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042905242,0.00043916513,0.00054974284,0.0002772166,0.00007253204,0.00018968043,0.00013164077,0.70589226,0.11758648,0.020546488,0.006001136,0.1478846],"study_design_scores_gemma":[0.000023076576,0.00017098471,0.00013824874,0.0000057865336,0.000014741047,0.000021503129,0.0000107124115,0.98916584,0.0070805806,0.00075301644,0.0026058496,0.000009671933],"about_ca_topic_score_codex":0.0015710015,"about_ca_topic_score_gemma":0.0019239556,"teacher_disagreement_score":0.0045606922,"about_ca_system_score_codex":0.00034295293,"about_ca_system_score_gemma":0.00037750188,"threshold_uncertainty_score":0.015257001},"labels":[],"label_agreement":null},{"id":"W2021304816","doi":"10.1023/a:1015561326014","title":"High specific surface area, reticulated current collectors for lead–acid batteries","year":2002,"lang":"en","type":"article","venue":"Journal of Applied Electrochemistry","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Research (Canada)","funders":"","keywords":"Cyclic voltammetry; Scanning electron microscope; Electrochemistry; Battery (electricity); Materials science; Lead–acid battery; Electrode; Chemical engineering; Chemistry; Analytical Chemistry (journal); Nuclear chemistry; Composite material; Chromatography; Engineering; Power (physics)","score_opus":0.015793196050238857,"score_gpt":0.22910842816059673,"score_spread":0.21331523211035788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021304816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9312529,0.013920783,0.04460122,0.00034234705,0.00050367776,0.00011557805,0.0004196154,0.0013325778,0.00751135],"genre_scores_gemma":[0.9777298,0.0018209588,0.016731283,0.000056917062,0.00014424723,0.00003700441,0.00022035367,0.000061555234,0.003197774],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985564,0.000012610358,0.000009337644,0.00003729985,0.000067929206,0.000017166923],"domain_scores_gemma":[0.9995932,0.00004813246,0.00009467188,0.00008435627,0.00015256631,0.000027237431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000340145,0.00019110904,0.00038438276,0.00044362407,0.0003588165,0.0006957823,0.001096974,0.0004349984,0.0010060291],"category_scores_gemma":[0.00059870444,0.00031057317,0.00019683393,0.0003243233,0.00021026547,0.0007584814,0.00026845213,0.00041688557,0.0006797836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018064008,0.000052843905,0.00043782347,0.00023171231,0.000031563504,0.00012654443,0.00010081162,0.0020799527,0.9750381,0.0014549652,0.001035874,0.019229066],"study_design_scores_gemma":[0.00007004001,0.00076832663,0.004074655,0.000022792266,0.0000631099,0.00043837717,0.0000620474,0.012401252,0.9659433,0.0006057918,0.01551982,0.000030628285],"about_ca_topic_score_codex":0.00026543747,"about_ca_topic_score_gemma":0.00061547273,"teacher_disagreement_score":0.001096974,"about_ca_system_score_codex":0.00043793055,"about_ca_system_score_gemma":0.00023133414,"threshold_uncertainty_score":0.0033655167},"labels":[],"label_agreement":null},{"id":"W2022780443","doi":"10.1115/detc2010-28814","title":"Symbolic Math-Based Battery Modeling for Electric Vehicle Simulation","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Electric vehicle; Generator (circuit theory); Battery pack; Computer science; Controller (irrigation); Power (physics); Control theory (sociology); Simulation; Physics; Control (management); Artificial intelligence","score_opus":0.020787117616798755,"score_gpt":0.2842861366786203,"score_spread":0.26349901906182155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022780443","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06882791,0.000254327,0.8821117,0.00042085355,0.00007798182,0.00007431157,0.00052461104,0.0021199286,0.045588445],"genre_scores_gemma":[0.8383856,0.00033372227,0.14909703,0.00010779875,0.000040475607,0.00028418988,0.00055334496,0.00047535263,0.010722546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999882,0.000032658707,0.0000056927956,0.00000824014,0.000058023557,0.000013296267],"domain_scores_gemma":[0.9997503,0.00012276442,0.00002111722,0.00003245874,0.0000636857,0.00000971109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001887116,0.0005042285,0.0004992266,0.00046511216,0.00037458862,0.00061153114,0.00076729164,0.00059144135,0.0064990423],"category_scores_gemma":[0.00095379207,0.00022684604,0.0004429471,0.0003852171,0.0004865681,0.0008076013,0.00048826652,0.0007045023,0.0008117325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017921951,0.000017082255,0.00021766004,0.00003723465,0.000007653322,0.000044904566,0.000040628256,0.9590859,0.0017473653,0.034163013,0.00041741613,0.0042032707],"study_design_scores_gemma":[0.0000063828647,0.0000063265284,0.000030501398,0.0000038671337,0.0000017407594,0.000006677661,0.000006153674,0.99278355,0.0005710878,0.0054067993,0.0011746275,0.0000022778802],"about_ca_topic_score_codex":0.0050962246,"about_ca_topic_score_gemma":0.0030499394,"teacher_disagreement_score":0.0064990423,"about_ca_system_score_codex":0.00071226986,"about_ca_system_score_gemma":0.0005921611,"threshold_uncertainty_score":0.02174151},"labels":[],"label_agreement":null},{"id":"W2023757057","doi":"10.1016/j.egypro.2012.09.043","title":"Intelligent Control for Optimal Performance of a Fuel Cell Hybrid Auto Rickshaw","year":2012,"lang":"en","type":"article","venue":"Energy Procedia","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Fuzzy logic; Key (lock); Fuel efficiency; Automotive engineering; Diesel fuel; Controller (irrigation); Minification; Energy management; Computer science; Engineering; Control (management); Work (physics); Energy (signal processing); Control engineering; Artificial intelligence; Mathematics","score_opus":0.01111805253986725,"score_gpt":0.23098351687665591,"score_spread":0.21986546433678866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023757057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71597487,0.00038912188,0.26828215,0.00017927444,0.00004492007,0.00009096752,0.000038404294,0.0005391622,0.014461163],"genre_scores_gemma":[0.99503374,0.000030096495,0.0043869894,0.000011310008,0.0000018572607,0.000012569931,0.000007673972,0.000004613075,0.000511101],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998863,0.000016164742,0.00000823803,0.000023074754,0.000044386645,0.000021958132],"domain_scores_gemma":[0.99979836,0.0000782375,0.00003864629,0.000012898808,0.000061761064,0.000010218677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041368703,0.00041832923,0.00029055783,0.00028915177,0.00026548025,0.000729143,0.00032475678,0.0003282937,0.0008622836],"category_scores_gemma":[0.0005830934,0.00011559086,0.0001606092,0.00014202377,0.000266178,0.00023240235,0.00020077375,0.00026320192,0.00013000083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069032866,0.00026248727,0.0014777419,0.00020208249,0.00006802813,0.00017382679,0.00028158934,0.71229345,0.17159134,0.0063326284,0.00073651597,0.105890006],"study_design_scores_gemma":[0.00005886993,0.00047853636,0.0012159979,0.000011096114,0.00002800123,0.000028003418,0.00005221843,0.9655623,0.030577976,0.0008749505,0.0010933257,0.000018740995],"about_ca_topic_score_codex":0.003451371,"about_ca_topic_score_gemma":0.0029282686,"teacher_disagreement_score":0.003451371,"about_ca_system_score_codex":0.00033960145,"about_ca_system_score_gemma":0.00040980376,"threshold_uncertainty_score":0.006862581},"labels":[],"label_agreement":null},{"id":"W2025615874","doi":"10.1109/intlec.2011.6099826","title":"Optimum battery size selection in standalone renewable energy systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Battery (electricity); Renewable energy; Reliability engineering; Reliability (semiconductor); Energy storage; Wind power; Computer science; Automotive engineering; Photovoltaic system; Work (physics); Simulation; Engineering; Electrical engineering; Power (physics); Mechanical engineering","score_opus":0.020346211098742555,"score_gpt":0.22499719331764642,"score_spread":0.20465098221890388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025615874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58435196,0.001469005,0.40597114,0.00012602983,0.000044376233,0.00010513249,0.00015081551,0.000683461,0.007098146],"genre_scores_gemma":[0.9885966,0.00013081882,0.010375828,0.000010518161,0.0000057217835,0.000029544155,0.000034475914,0.000027853332,0.00078862405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978966,0.00007274691,0.000013814624,0.00003063742,0.00007198522,0.00002114072],"domain_scores_gemma":[0.9994143,0.00035286834,0.00007887024,0.000034285047,0.000096624164,0.000023090117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003457781,0.0005031722,0.0007193554,0.00045779045,0.00020867924,0.0006575208,0.00046194415,0.0004002845,0.0008350994],"category_scores_gemma":[0.0016538862,0.00033628897,0.0002846764,0.00033842275,0.00016854506,0.0008519551,0.00025532147,0.00018375233,0.00019861285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024831845,0.00004635509,0.0021155041,0.00012003774,0.000050705272,0.0002979199,0.000051679956,0.92563325,0.01915038,0.0011376841,0.00039467527,0.0507535],"study_design_scores_gemma":[0.000018655248,0.00017052854,0.0017802907,0.000010728308,0.000028174334,0.0001223291,0.000036060996,0.98945343,0.006542981,0.0013864145,0.00043903268,0.000011341622],"about_ca_topic_score_codex":0.00077685615,"about_ca_topic_score_gemma":0.0017783738,"teacher_disagreement_score":0.0008350994,"about_ca_system_score_codex":0.00026391682,"about_ca_system_score_gemma":0.00020500533,"threshold_uncertainty_score":0.0027936697},"labels":[],"label_agreement":null},{"id":"W2025707292","doi":"10.1179/1879139512y.0000000046","title":"Influence of silver content and MnSO<sub>4</sub>addition on performance of different lead–silver alloys during polarisation and decay periods","year":2013,"lang":"en","type":"article","venue":"Canadian Metallurgical Quarterly","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anode; Alloy; Overpotential; Materials science; Corrosion; Metallurgy; Electrochemistry; Dielectric spectroscopy; Chemistry; Electrode","score_opus":0.010182313459394736,"score_gpt":0.19628584393714646,"score_spread":0.18610353047775172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025707292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970325,0.001282283,0.0007630964,0.00003964219,0.000031049585,0.000012190355,0.0000943632,0.000051274586,0.0006936062],"genre_scores_gemma":[0.9956235,0.00080809975,0.0016670763,0.000045206707,0.000012453299,0.000019908137,0.00017052343,0.000048165864,0.0016049847],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996264,0.00008150981,0.00005312196,0.00009018872,0.00008189448,0.00006692535],"domain_scores_gemma":[0.9994267,0.00019405862,0.000080913254,0.000050350263,0.0001755623,0.00007243071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037006402,0.0005642693,0.00045199605,0.00028495584,0.00016183287,0.0005565876,0.00033750126,0.00040934928,0.0009749123],"category_scores_gemma":[0.0011081637,0.00029246244,0.00027143318,0.00028109987,0.00021671591,0.0004042903,0.00027479767,0.0003968976,0.00045068125],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016796765,0.000048869555,0.0014912173,0.0001438459,0.000035642068,0.00010742617,0.00007928168,0.00024965164,0.9890243,0.000020360092,0.000043502805,0.007076364],"study_design_scores_gemma":[0.000012415485,0.0008485735,0.0072143674,0.000009614076,0.000054221167,0.00006727474,0.00005307992,0.0006330367,0.99039906,0.0000149193975,0.0006859851,0.0000075138446],"about_ca_topic_score_codex":0.0010882227,"about_ca_topic_score_gemma":0.0019497751,"teacher_disagreement_score":0.0010882227,"about_ca_system_score_codex":0.0002038246,"about_ca_system_score_gemma":0.00018189097,"threshold_uncertainty_score":0.003261447},"labels":[],"label_agreement":null},{"id":"W2025787363","doi":"10.1109/iecon.2013.6700158","title":"Electric vehicle charging station using a neutral point clamped converter with bipolar DC bus and voltage balancing circuit","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Electric vehicle; Electrical engineering; Automotive industry; Grid; Automotive engineering; Computer science; Power (physics); Voltage; Engineering","score_opus":0.012168255813275729,"score_gpt":0.22092757777120325,"score_spread":0.2087593219579275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025787363","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12225119,0.0006919654,0.80962336,0.00036108878,0.0003871491,0.00036688393,0.00033946038,0.005182038,0.0607969],"genre_scores_gemma":[0.92973053,0.00044979944,0.048441246,0.00011890819,0.00011099858,0.00009504558,0.0002668259,0.00005531327,0.02073133],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985564,0.0000151649065,0.000009742197,0.000039469298,0.00006286751,0.000017088716],"domain_scores_gemma":[0.9999224,0.00000597543,0.000008445203,0.000014141422,0.00003918501,0.000009761439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010105715,0.0003957981,0.00044099975,0.00034737377,0.0004433934,0.00074146705,0.001211217,0.0003942624,0.0052318936],"category_scores_gemma":[0.00009846913,0.000174745,0.00025100244,0.00057720754,0.00016684756,0.00043732813,0.00028303478,0.0003932429,0.0020305696],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093745755,0.0004935004,0.002165024,0.0006625967,0.00011725983,0.000830802,0.00018896419,0.026272235,0.49305546,0.019851271,0.0151175745,0.44030777],"study_design_scores_gemma":[0.00070662476,0.0041394895,0.00727769,0.00023375986,0.0003788313,0.0061400235,0.00023463112,0.37876666,0.4648505,0.013186893,0.12391639,0.0001685396],"about_ca_topic_score_codex":0.0008562172,"about_ca_topic_score_gemma":0.0013681217,"teacher_disagreement_score":0.0052318936,"about_ca_system_score_codex":0.00044508942,"about_ca_system_score_gemma":0.0004585292,"threshold_uncertainty_score":0.017502427},"labels":[],"label_agreement":null},{"id":"W2025799664","doi":"10.1109/acc.2012.6315272","title":"Online estimation of model parameters and state-of-charge of Lithium-Ion battery using Unscented Kalman Filter","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Extended Kalman filter; State of charge; Kalman filter; Battery (electricity); Control theory (sociology); Lithium-ion battery; Power (physics); Computer science; Engineering; Artificial intelligence; Physics; Control (management)","score_opus":0.04979074262853873,"score_gpt":0.30504299440952815,"score_spread":0.2552522517809894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025799664","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.070158124,0.0005712402,0.92603874,0.00011405774,0.000052662537,0.000033214415,0.00011555156,0.0014910526,0.0014253038],"genre_scores_gemma":[0.9269275,0.00064928574,0.070360735,0.00006231101,0.000023793795,0.000075079035,0.00030680266,0.000053976622,0.0015404264],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971527,0.000046449237,0.000025767184,0.000057777354,0.0001269542,0.000027767148],"domain_scores_gemma":[0.99952984,0.00013840088,0.00009137713,0.00005597653,0.00017371814,0.0000106891775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040784187,0.0005578511,0.0007184312,0.0003898054,0.00029027954,0.000690813,0.000645768,0.00057972665,0.00061727356],"category_scores_gemma":[0.0020277316,0.00030127796,0.00037249617,0.00033823925,0.00023467757,0.001419468,0.00044269,0.00057191553,0.00034366397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028184566,0.00013097624,0.007928357,0.00036779887,0.00011447847,0.00022098387,0.00035438742,0.65066653,0.04875858,0.0025412065,0.0022556386,0.28637913],"study_design_scores_gemma":[0.000013747277,0.000042301934,0.0014903436,0.000012083721,0.000015012584,0.000047002257,0.000017226745,0.988641,0.008477809,0.0005095252,0.00071359234,0.000020343237],"about_ca_topic_score_codex":0.011883525,"about_ca_topic_score_gemma":0.010710221,"teacher_disagreement_score":0.011883525,"about_ca_system_score_codex":0.00046128276,"about_ca_system_score_gemma":0.00080346054,"threshold_uncertainty_score":0.023628712},"labels":[],"label_agreement":null},{"id":"W2025959454","doi":"10.1149/1.1377592","title":"Thermal Model of Cylindrical and Prismatic Lithium-Ion Cells","year":2001,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":604,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Electrode; Electrolyte; Lithium (medication); Graphite; Electrochemistry; Cathode; Materials science; Thermal; Ion; Electrochemical cell; Composite material; Chemical engineering; Nuclear engineering; Chemistry; Engineering; Thermodynamics; Organic chemistry","score_opus":0.011152103887881626,"score_gpt":0.23611572781186077,"score_spread":0.22496362392397914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025959454","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21744257,0.00499394,0.57655644,0.0016182719,0.0005214684,0.0005254311,0.0036248972,0.0017702159,0.19294684],"genre_scores_gemma":[0.9195126,0.002093588,0.018291276,0.0002318348,0.000078487545,0.0005392639,0.0008810814,0.00018941483,0.058182493],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997547,0.000032632543,0.000011618969,0.000057813475,0.00009982006,0.000043416072],"domain_scores_gemma":[0.9997689,0.00007390098,0.000033599958,0.000027919332,0.00007449019,0.000021165537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033584828,0.00065284484,0.0008105012,0.00046366712,0.0006431218,0.0010243868,0.00198235,0.0017689486,0.0065053445],"category_scores_gemma":[0.001015023,0.00047025876,0.0010249922,0.00051238365,0.0009078511,0.0012470661,0.00069186185,0.000763659,0.001758284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009295544,0.000024140265,0.00028137624,0.00009727757,0.000013481646,0.00016518949,0.00009997143,0.9608717,0.0128488485,0.02082057,0.001228678,0.0034557974],"study_design_scores_gemma":[0.000010389642,0.00002816677,0.00017765042,0.0000066961943,0.000006392101,0.00006838552,0.000015839743,0.99511755,0.00094705605,0.00224582,0.0013640885,0.0000118755215],"about_ca_topic_score_codex":0.008083091,"about_ca_topic_score_gemma":0.0041764053,"teacher_disagreement_score":0.008083091,"about_ca_system_score_codex":0.0010173174,"about_ca_system_score_gemma":0.0007115368,"threshold_uncertainty_score":0.02176255},"labels":[],"label_agreement":null},{"id":"W2026205628","doi":"10.1149/2.028202jes","title":"The Impact of Varying the Concentration of Vinylene Carbonate Electrolyte Additive in Wound Li-Ion Cells","year":2011,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrolyte; Faraday efficiency; Graphite; Carbonate; Slippage; Dimethyl carbonate; Electrode; Ion; Materials science; Chemical engineering; Chemistry; Inorganic chemistry; Composite material; Organic chemistry; Metallurgy; Catalysis; Physical chemistry","score_opus":0.00998718849049567,"score_gpt":0.24518549153149818,"score_spread":0.2351983030410025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026205628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99839145,0.00060908997,0.00047197673,0.000022095053,0.0000255073,0.0000133692865,0.00007591587,0.0000183493,0.00037226462],"genre_scores_gemma":[0.99798834,0.00034227432,0.0010340788,0.000018037801,0.0000046916944,0.000008919605,0.00009317188,0.000009170949,0.0005013868],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997166,0.000041455012,0.000049320544,0.000049794908,0.00008795365,0.00005491075],"domain_scores_gemma":[0.99964106,0.0001069286,0.000079475016,0.000035994723,0.00008245712,0.0000540385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018441194,0.0003088824,0.00037654815,0.0001986822,0.00015373043,0.0007517271,0.0004952085,0.00037047683,0.00078644307],"category_scores_gemma":[0.00054029503,0.00016789863,0.00016413945,0.00038583126,0.0002028314,0.00045078562,0.00023176086,0.00038475395,0.00013311223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006142889,0.000066486566,0.00042812704,0.00011490971,0.0000139365275,0.00007410227,0.00002906115,0.0004085404,0.9952958,0.00003683679,0.00002223144,0.0028957573],"study_design_scores_gemma":[0.000007886351,0.0003758704,0.0006803036,0.000003866987,0.000010523185,0.000023793991,0.000028004402,0.00038279998,0.9981542,0.000006238433,0.0003235515,0.0000030206559],"about_ca_topic_score_codex":0.00093162176,"about_ca_topic_score_gemma":0.0018820381,"teacher_disagreement_score":0.00093162176,"about_ca_system_score_codex":0.000303093,"about_ca_system_score_gemma":0.00017454532,"threshold_uncertainty_score":0.002630949},"labels":[],"label_agreement":null},{"id":"W2026756239","doi":"10.1109/vppc.2014.7007097","title":"Low Temperature Discharge Cycle Tests for a Lithium Ion Cell","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Nuclear engineering; Operating temperature; Internal resistance; Materials science; Electrolyte; Lithium-ion battery; Thermal diffusivity; Ion; Lithium (medication); Electrical engineering; Automotive engineering; Environmental science; Power (physics); Chemistry; Thermodynamics; Engineering; Electrode; Physics","score_opus":0.008369027206370075,"score_gpt":0.2513040941501802,"score_spread":0.24293506694381012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026756239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990076,0.00070322043,0.004709732,0.000108687855,0.0001230767,0.00013426573,0.0011501358,0.00023305968,0.0027618622],"genre_scores_gemma":[0.996055,0.00019484201,0.0011949985,0.000059695078,0.00001192246,0.000063515276,0.0004110045,0.00003161743,0.0019774868],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993538,0.000047767127,0.00007414252,0.000118337804,0.0003143228,0.000091749236],"domain_scores_gemma":[0.9990677,0.0003428707,0.000053806445,0.00010446579,0.000385376,0.000045708635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040167745,0.0003817824,0.00042565932,0.00060916354,0.0005782408,0.00041488366,0.00089512847,0.00084278407,0.0052057244],"category_scores_gemma":[0.0012108184,0.00018535896,0.00043550663,0.00062285113,0.00026605595,0.0006688996,0.00039637752,0.00058039697,0.0008043066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012365836,0.00025365027,0.0056663486,0.00042201712,0.00004116999,0.0005313697,0.0007441359,0.0014352195,0.96595496,0.00030705126,0.0010405701,0.022366822],"study_design_scores_gemma":[0.000044431217,0.0026674513,0.019840144,0.000028093436,0.000042506683,0.00034963092,0.0004288436,0.004747964,0.96715957,0.00024298947,0.00440499,0.000043452288],"about_ca_topic_score_codex":0.0010263264,"about_ca_topic_score_gemma":0.0022961022,"teacher_disagreement_score":0.0052057244,"about_ca_system_score_codex":0.00036814858,"about_ca_system_score_gemma":0.00028471494,"threshold_uncertainty_score":0.017414868},"labels":[],"label_agreement":null},{"id":"W2026774542","doi":"10.3390/wevj6030638","title":"Application of the Thermal Impedance Spectroscopy method in three dimensions to a large prismatic Li-ion cell","year":2013,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Université Laval","keywords":"Dielectric spectroscopy; Materials science; Work (physics); Discretization; Thermal conductivity; Electrical impedance; Thermal; Characterization (materials science); Spectroscopy; Ion; Composite material; Mechanical engineering; Thermodynamics; Nanotechnology; Chemistry; Mathematics; Mathematical analysis; Electrical engineering; Physics; Engineering; Electrode","score_opus":0.006441859700385582,"score_gpt":0.2609076357106833,"score_spread":0.25446577601029774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026774542","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41110137,0.00063711446,0.582027,0.00029123834,0.0001265331,0.000118794764,0.00055527594,0.0016282481,0.00351428],"genre_scores_gemma":[0.90817255,0.00028498707,0.0905843,0.00003401936,0.0000080755835,0.00005923849,0.00014256238,0.000027555894,0.000686662],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997503,0.000029024493,0.000015180643,0.000055408615,0.00013567419,0.000014449928],"domain_scores_gemma":[0.9997316,0.00009405321,0.000028919816,0.00006168054,0.00006853409,0.000015141233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025242873,0.00032160024,0.00050344423,0.00030515276,0.00023088088,0.00047879972,0.0006922263,0.00037103635,0.0008968175],"category_scores_gemma":[0.000483642,0.00020172069,0.00029733757,0.000613607,0.00037094246,0.0004650202,0.000431685,0.0005272097,0.00025033756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102615064,0.000029956904,0.0006378347,0.00012014456,0.000014915594,0.00012949042,0.00008159766,0.013717566,0.9642609,0.001554885,0.00019254257,0.019157402],"study_design_scores_gemma":[0.000030386564,0.00034522926,0.0021803437,0.000010580187,0.000020872412,0.00046130348,0.00010788404,0.27691728,0.7159942,0.0013251369,0.0025462797,0.00006048948],"about_ca_topic_score_codex":0.0012665198,"about_ca_topic_score_gemma":0.0014293378,"teacher_disagreement_score":0.0012665198,"about_ca_system_score_codex":0.00043018968,"about_ca_system_score_gemma":0.0005465158,"threshold_uncertainty_score":0.0031213164},"labels":[],"label_agreement":null},{"id":"W2027374997","doi":"10.1109/tsg.2013.2246198","title":"Two-Stage Charging Strategy for Plug-In Electric Vehicles at the Residential Transformer Level","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"News aggregator; Charging station; Transformer; Electric vehicle; Vehicle-to-grid; Computer science; Grid; Automotive engineering; Control theory (sociology); Automatic Generation Control; Engineering; Control engineering; Mathematical optimization; Power (physics); Electric power system; Control (management); Electrical engineering; Voltage; Mathematics","score_opus":0.04045989306169113,"score_gpt":0.2867777399407627,"score_spread":0.2463178468790716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027374997","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049058177,0.000114218936,0.94417983,0.00012828785,0.000030786327,0.00007682974,0.000025447755,0.0001963056,0.006190139],"genre_scores_gemma":[0.98730755,0.000039825823,0.011111859,0.000019375859,0.000008051472,0.000025875592,0.000015630052,0.000009567645,0.001462379],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965775,0.00007951062,0.000017684491,0.000072014984,0.000096592405,0.00007645753],"domain_scores_gemma":[0.9998078,0.000053797743,0.000031946995,0.00001933113,0.00006636599,0.000020748415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036112173,0.0006157274,0.0005724835,0.00023814153,0.00039217822,0.00087403494,0.0009964767,0.0004703294,0.0018515537],"category_scores_gemma":[0.0004787043,0.00025578807,0.00039259414,0.0003267789,0.00037051179,0.00063529174,0.00060694164,0.00046105814,0.00017513934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001940313,0.00012104372,0.0009879047,0.0001410258,0.000047482798,0.00032699888,0.00016844553,0.9103628,0.014311992,0.019993355,0.0011273648,0.05221756],"study_design_scores_gemma":[0.000012284034,0.000070477094,0.00015554983,0.0000022639122,0.000008497549,0.00003044677,0.00002779572,0.9952571,0.0018148386,0.0021737071,0.00044135665,0.0000056423164],"about_ca_topic_score_codex":0.004326877,"about_ca_topic_score_gemma":0.0041933376,"teacher_disagreement_score":0.004326877,"about_ca_system_score_codex":0.0007372729,"about_ca_system_score_gemma":0.00076545205,"threshold_uncertainty_score":0.008603394},"labels":[],"label_agreement":null},{"id":"W2028232312","doi":"10.1109/vppc.2011.6042973","title":"Introduction to advanced automotive batteries","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Chrysler (Canada)","funders":"","keywords":"Battery (electricity); Sizing; Automotive battery; Automotive industry; Durability; Automotive engineering; Computer science; Engineering; Manufacturing engineering; Aerospace engineering","score_opus":0.017211333358112917,"score_gpt":0.2472751646040767,"score_spread":0.23006383124596377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028232312","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034311789,0.45732677,0.07046483,0.012983541,0.04478918,0.0002727427,0.0020581074,0.0009850087,0.4076886],"genre_scores_gemma":[0.026324203,0.3738719,0.030186776,0.012341937,0.024859162,0.00031649004,0.0019778241,0.0004172337,0.5297046],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99973375,0.000031450123,0.000025123461,0.00005814845,0.0001239319,0.000027601618],"domain_scores_gemma":[0.99963546,0.00008149733,0.000015221852,0.0000278512,0.00020279162,0.00003708445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037564142,0.0008838216,0.00046439737,0.0014102968,0.00072219153,0.0013867597,0.00086234114,0.0011658409,0.030140527],"category_scores_gemma":[0.0006735165,0.0003775805,0.0005890488,0.0016179534,0.00046778464,0.0021838841,0.0011080628,0.0026395482,0.025603972],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009517916,0.00015717073,0.00062271993,0.0019318701,0.000031130447,0.00048480183,0.00024355316,0.0014150843,0.008809672,0.15284105,0.37685338,0.45651445],"study_design_scores_gemma":[0.0000014114704,0.000027016236,0.00013206598,0.000114076,0.0000022564786,0.00028174368,0.00001727841,0.00009638923,0.00033600774,0.011227251,0.98775804,0.000006359463],"about_ca_topic_score_codex":0.0005323371,"about_ca_topic_score_gemma":0.00080051366,"teacher_disagreement_score":0.030140527,"about_ca_system_score_codex":0.0005172362,"about_ca_system_score_gemma":0.00048069775,"threshold_uncertainty_score":0.10083008},"labels":[],"label_agreement":null},{"id":"W2028488329","doi":"10.1016/s0378-7753(02)00553-0","title":"Electroplated reticulated vitreous carbon current collectors for lead–acid batteries: opportunities and challenges","year":2003,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Research (Canada); University of British Columbia","funders":"","keywords":"Electroplating; Lead–acid battery; Battery (electricity); Materials science; Polarization (electrochemistry); Electrochemistry; Anode; Cyclic voltammetry; Scanning electron microscope; Alloy; Carbon fibers; Electrode; Current collector; Cathode; Constant current; Metallurgy; Nanotechnology; Current (fluid); Composite material; Electrical engineering; Chemistry; Electrolyte; Composite number","score_opus":0.04322620148449665,"score_gpt":0.25985413896021065,"score_spread":0.216627937475714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028488329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93087137,0.023524622,0.03338289,0.00068684464,0.00043796955,0.00006453203,0.000115095885,0.0004287074,0.010487923],"genre_scores_gemma":[0.97507703,0.003721717,0.016585058,0.000056381527,0.00008869814,0.000019319496,0.0001148021,0.00006396906,0.004273041],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997495,0.000028730596,0.000014507689,0.000045698886,0.00013231473,0.00002924977],"domain_scores_gemma":[0.99945444,0.0001253814,0.00010120044,0.00008277727,0.00021243385,0.00002380055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005303255,0.00016534931,0.0002819405,0.0002064904,0.000387432,0.0009984443,0.001099485,0.00068748184,0.00084369327],"category_scores_gemma":[0.00076803635,0.00021864091,0.00020375366,0.00026923697,0.00040007278,0.0009744685,0.00023811677,0.0004767394,0.00038625134],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022136245,0.000056857953,0.0008945306,0.00035360784,0.000026776774,0.00027031437,0.0002419824,0.002112651,0.94595194,0.0037109298,0.0009889301,0.04517018],"study_design_scores_gemma":[0.000020527596,0.00038194747,0.0014471192,0.000027631411,0.000033482,0.00042643485,0.00020447129,0.0076855305,0.97609746,0.0007700706,0.01288161,0.000023679202],"about_ca_topic_score_codex":0.0010020989,"about_ca_topic_score_gemma":0.0022808178,"teacher_disagreement_score":0.001099485,"about_ca_system_score_codex":0.0004956569,"about_ca_system_score_gemma":0.00039770018,"threshold_uncertainty_score":0.0035962462},"labels":[],"label_agreement":null},{"id":"W2028646135","doi":"10.4271/2015-01-1189","title":"Experimental Measurements of Thermal Characteristics of LiFePO&lt;sub&gt;4&lt;/sub&gt; Battery","year":2015,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Battery (electricity); Thermal; Nuclear engineering; Computer science; Thermodynamics; Physics; Engineering","score_opus":0.03442555700868499,"score_gpt":0.2732025609683024,"score_spread":0.23877700395961743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028646135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98882604,0.00025892034,0.00785761,0.00005343648,0.000032830998,0.000052268166,0.0004842055,0.00013397018,0.0023006208],"genre_scores_gemma":[0.9937105,0.00020273584,0.0037961693,0.000027875076,0.0000065183995,0.00007276049,0.00020035384,0.000030742165,0.0019524212],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996487,0.000035375528,0.000026938216,0.000099898236,0.00015019358,0.000038940365],"domain_scores_gemma":[0.9994254,0.0001443122,0.00006964641,0.00009545017,0.00024382772,0.000021224047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030862892,0.00040204977,0.00032607093,0.00021655747,0.00023772866,0.00027406716,0.0006027935,0.00041060796,0.0025020132],"category_scores_gemma":[0.0008108709,0.00018918778,0.00017182776,0.0003860034,0.0003295681,0.0006607613,0.00022373078,0.00036056494,0.0004219633],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018015566,0.00005272135,0.00068107364,0.00012541881,0.000009237398,0.00010071613,0.00015395238,0.00054062676,0.9915469,0.00016684619,0.00013665529,0.006305655],"study_design_scores_gemma":[0.000009880862,0.00054659205,0.002891159,0.000009077822,0.000011849178,0.00012505401,0.00013415633,0.0025186997,0.9926005,0.00006544103,0.0010772874,0.0000102353015],"about_ca_topic_score_codex":0.0002280096,"about_ca_topic_score_gemma":0.0005608679,"teacher_disagreement_score":0.0025020132,"about_ca_system_score_codex":0.00022351864,"about_ca_system_score_gemma":0.00017540305,"threshold_uncertainty_score":0.008370101},"labels":[],"label_agreement":null},{"id":"W2029252270","doi":"10.1109/pcicon.2004.1352789","title":"Utilizing waste hydrogen for energy recovery using fuel cells and associated technologies","year":2004,"lang":"en","type":"article","venue":"IEEE Geoscience and Remote Sensing Letters","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Dynamics (Canada)","funders":"","keywords":"Fuel cells; Hydrogen fuel; Hydrogen economy; Process engineering; Waste management; Combustion; Process (computing); Hydrogen fuel enhancement; Environmental science; Electricity generation; Computer science; Atmosphere (unit); Environmental economics; Energy transformation; Power (physics); Engineering; Chemistry; Chemical engineering","score_opus":0.018828881916559913,"score_gpt":0.23677942352610973,"score_spread":0.21795054160954982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029252270","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31530175,0.067322195,0.5419793,0.0026585415,0.00078566745,0.00023922231,0.0003154565,0.0016129753,0.06978486],"genre_scores_gemma":[0.74120134,0.050807357,0.17827436,0.00044408458,0.00025986088,0.00008271576,0.00032951275,0.0001302671,0.028470483],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997907,0.000021951259,0.00000888684,0.000019760346,0.00013414664,0.000024467017],"domain_scores_gemma":[0.9999366,0.000019167986,0.0000062172217,0.000010120393,0.000024337462,0.0000036703864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026663748,0.00034594725,0.0004286287,0.0005448096,0.00043968888,0.0010979291,0.0006151675,0.0006476035,0.0021130473],"category_scores_gemma":[0.00023688808,0.00018801619,0.0003400933,0.00071943563,0.00033200107,0.0014765497,0.00039045158,0.0004213003,0.0016548935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016974208,0.0001486843,0.00096167135,0.0009869778,0.000030801595,0.00044719887,0.00013558338,0.003989044,0.607778,0.016383456,0.002118131,0.3668506],"study_design_scores_gemma":[0.000018927927,0.00028010143,0.00037811385,0.00006110651,0.000029571253,0.0010074053,0.00013714629,0.0106712915,0.92223316,0.0058004363,0.05935902,0.000023665032],"about_ca_topic_score_codex":0.0003802793,"about_ca_topic_score_gemma":0.00086557475,"teacher_disagreement_score":0.0021130473,"about_ca_system_score_codex":0.00019134716,"about_ca_system_score_gemma":0.00023445618,"threshold_uncertainty_score":0.007068813},"labels":[],"label_agreement":null},{"id":"W2031093219","doi":"10.4271/2015-01-1184","title":"Thermal Management of Lithium-Ion Pouch Cell with Indirect Liquid Cooling using Dual Cold Plates Approach","year":2015,"lang":"en","type":"article","venue":"SAE International journal of alternative powertrains","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Pouch; Lithium (medication); Dual (grammatical number); Materials science; Ion; Thermal; Thermal management of electronic devices and systems; Nuclear engineering; Environmental science; Chemistry; Thermodynamics; Mechanical engineering; Engineering; Physics; Geology; Organic chemistry; Medicine","score_opus":0.0397369817248097,"score_gpt":0.2944066952776221,"score_spread":0.25466971355281237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031093219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80140406,0.0041887215,0.17044234,0.00036909888,0.00024140072,0.00016188866,0.00015283098,0.00059736567,0.022442233],"genre_scores_gemma":[0.9836121,0.00042165015,0.012191891,0.000032606098,0.000020901962,0.00005766034,0.00006108032,0.000022776016,0.0035792906],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989533,0.000009464285,0.0000039911556,0.000027224703,0.00004351869,0.000020540976],"domain_scores_gemma":[0.99994123,0.000011688728,0.000009262501,0.000008632572,0.000022956503,0.0000060968646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011383003,0.00028195878,0.00036863462,0.00020902157,0.0003570142,0.0005903288,0.00089206506,0.00030541501,0.0014885645],"category_scores_gemma":[0.00014843469,0.00014181496,0.00029198296,0.00019216226,0.00030996028,0.00061645696,0.0003702907,0.00028404716,0.00035405002],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006700305,0.00016376673,0.0025270004,0.0006340243,0.000039847833,0.0005201593,0.0002331422,0.055854175,0.85532105,0.005936416,0.0019136422,0.07618683],"study_design_scores_gemma":[0.000065664,0.0007681187,0.0015470354,0.000025033438,0.00006124832,0.00031420848,0.00014474426,0.35768393,0.63040274,0.00094607886,0.007982161,0.000059023616],"about_ca_topic_score_codex":0.00067070004,"about_ca_topic_score_gemma":0.0009056769,"teacher_disagreement_score":0.0014885645,"about_ca_system_score_codex":0.00032582576,"about_ca_system_score_gemma":0.00033607584,"threshold_uncertainty_score":0.0049797297},"labels":[],"label_agreement":null},{"id":"W2031744337","doi":"10.1109/tdc.2012.6674234","title":"Sizing and power management for a stand-alone PV system in cold climate","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Photovoltaic system; Battery (electricity); Sizing; Maximum power point tracking; Automotive engineering; Lead–acid battery; Grid-connected photovoltaic power system; Irradiance; Solar irradiance; Environmental science; Power (physics); Electric power system; Maximum power transfer theorem; Computer science; Electrical engineering; Engineering; Voltage; Meteorology","score_opus":0.015692163479468304,"score_gpt":0.26437001900196483,"score_spread":0.24867785552249652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031744337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5804139,0.0006222434,0.3999104,0.00019966648,0.00007085126,0.0002387236,0.00022925026,0.0023925726,0.0159224],"genre_scores_gemma":[0.9831613,0.00006642536,0.013640263,0.000018536333,0.000013536804,0.000033982386,0.00005034346,0.000046597845,0.0029691528],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999428,0.0000067446545,0.0000032142489,0.000013327697,0.000024985573,0.000008901204],"domain_scores_gemma":[0.99993074,0.0000131418265,0.000013647743,0.0000063166276,0.000027666543,0.000008508241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006601669,0.00040049173,0.00030919703,0.00019252978,0.00046507182,0.0006112969,0.00041035144,0.00019117046,0.0024436263],"category_scores_gemma":[0.00014042333,0.00019813224,0.00012906507,0.00018809886,0.00012934154,0.0003018677,0.00014128453,0.00021443192,0.0005154963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046964543,0.00025339483,0.0037378522,0.00030301488,0.000075104654,0.00047741763,0.0003659874,0.23764011,0.4631192,0.0020104013,0.0029584526,0.2885894],"study_design_scores_gemma":[0.00011961868,0.00060270727,0.009676463,0.0000226985,0.000092698545,0.0003443026,0.00018166585,0.88846457,0.090572804,0.0021947247,0.0076958383,0.00003197401],"about_ca_topic_score_codex":0.0040622302,"about_ca_topic_score_gemma":0.013889298,"teacher_disagreement_score":0.0040622302,"about_ca_system_score_codex":0.00030315138,"about_ca_system_score_gemma":0.00039842897,"threshold_uncertainty_score":0.008174717},"labels":[],"label_agreement":null},{"id":"W2033589675","doi":"10.1109/tsg.2012.2205950","title":"A Dual Purpose Triangular Neural Network Based Module for Monitoring and Protection in Bi-Directional Off-Board Level-3 Charging of EV/PHEV","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Grid; Dual (grammatical number); Engineering; Battery (electricity); Electrical engineering; Electric vehicle; Controller (irrigation); Power (physics); Battery charger; Automotive engineering; Computer science","score_opus":0.04767044197004888,"score_gpt":0.27577449221454425,"score_spread":0.22810405024449537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033589675","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3730631,0.00033846585,0.610483,0.0003035635,0.00014147878,0.000202995,0.0002495098,0.0023178014,0.012900108],"genre_scores_gemma":[0.95137185,0.00007333788,0.043952044,0.00011161446,0.000010460173,0.000051715117,0.000081265316,0.000019043064,0.004328704],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984777,0.00002506556,0.000007696567,0.000033641696,0.00006457354,0.000021182432],"domain_scores_gemma":[0.99988747,0.000019338002,0.00001850124,0.000014674288,0.000050730378,0.000009229854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017643448,0.00023877084,0.00019092491,0.00019159474,0.0001225302,0.0003516184,0.0007037793,0.00038666857,0.002166103],"category_scores_gemma":[0.0003367171,0.00010592496,0.00017646427,0.00015492903,0.00011368998,0.00044522755,0.00027452744,0.00020693426,0.00036796927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011397403,0.0003728645,0.0074715307,0.00043437342,0.00010345255,0.0004546203,0.00016860766,0.08952456,0.41774833,0.0028128223,0.0038293442,0.47593966],"study_design_scores_gemma":[0.000049660128,0.0010416146,0.006836357,0.000025274905,0.00006893153,0.00031478552,0.000057368925,0.82140225,0.16412231,0.0008188395,0.005222713,0.000039968236],"about_ca_topic_score_codex":0.0012059227,"about_ca_topic_score_gemma":0.0018959588,"teacher_disagreement_score":0.002166103,"about_ca_system_score_codex":0.0002901094,"about_ca_system_score_gemma":0.00020662314,"threshold_uncertainty_score":0.0072463155},"labels":[],"label_agreement":null},{"id":"W2034879195","doi":"10.4271/2014-01-1848","title":"Modeling and Evaluation of Li-Ion Battery Performance Based on the Electric Vehicle Field Tests","year":2014,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Transport Canada","keywords":"Battery (electricity); Electric vehicle; Automotive engineering; Field (mathematics); Electric field; Computer science; Aerospace engineering; Electrical engineering; Engineering; Physics; Power (physics); Thermodynamics; Mathematics","score_opus":0.02077040220072814,"score_gpt":0.26799078517373043,"score_spread":0.24722038297300228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034879195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92720306,0.00036842472,0.061771505,0.000111985464,0.00004334607,0.00015914218,0.0013865532,0.0017138629,0.007242122],"genre_scores_gemma":[0.9946091,0.00015092464,0.0024233656,0.000010959093,0.0000032864207,0.00006523178,0.00050939247,0.00002976565,0.0021979243],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986625,0.00001651225,0.000009159825,0.00003467037,0.0000543668,0.000018980556],"domain_scores_gemma":[0.9997658,0.0000614498,0.00002072176,0.000036261983,0.0001042123,0.000011563484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025817595,0.00088923314,0.0004392335,0.00049817795,0.00018811176,0.0006111134,0.00094897655,0.00054592744,0.0015983591],"category_scores_gemma":[0.0005284661,0.00015965033,0.00040060419,0.00027070334,0.0002072466,0.00066960603,0.00021694269,0.00033820068,0.00079644454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006327809,0.0003617011,0.03402029,0.00043499898,0.00008627033,0.00047092096,0.00023676526,0.80993575,0.09407778,0.000697844,0.0021222762,0.0569227],"study_design_scores_gemma":[0.000024829675,0.0006567662,0.0118540125,0.00002478638,0.000040404368,0.00012478484,0.00010534859,0.9262327,0.05822527,0.00038296232,0.0022957039,0.000032427175],"about_ca_topic_score_codex":0.005820702,"about_ca_topic_score_gemma":0.0048521906,"teacher_disagreement_score":0.005820702,"about_ca_system_score_codex":0.0004967741,"about_ca_system_score_gemma":0.00037139517,"threshold_uncertainty_score":0.011573613},"labels":[],"label_agreement":null},{"id":"W2034972603","doi":"10.1016/j.ijheatmasstransfer.2010.07.044","title":"Heat transfer in phase change materials for thermal management of electric vehicle battery modules","year":2010,"lang":"en","type":"article","venue":"International Journal of Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":328,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Materials science; Battery (electricity); Phase-change material; Thermal; Electric vehicle; Range (aeronautics); Heat transfer; Automotive engineering; Nuclear engineering; Electric-vehicle battery; Mechanical engineering; Mechanics; Composite material; Thermodynamics; Power (physics); Engineering","score_opus":0.02046079866021158,"score_gpt":0.29020253243545663,"score_spread":0.2697417337752451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034972603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832683,0.0015956997,0.010368336,0.00018412803,0.000107350745,0.000031497108,0.000041122305,0.00006665407,0.004336852],"genre_scores_gemma":[0.9976509,0.00019642651,0.0007884789,0.00000994614,0.000009349363,0.000008897214,0.000017584476,0.000007997788,0.0013103189],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99996936,0.000006698328,9.8304e-7,0.00000446215,0.000011573517,0.000006910428],"domain_scores_gemma":[0.99994767,0.000027768068,0.0000052277705,0.0000035235998,0.000012276847,0.00000347305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000107260035,0.00010139877,0.00013634724,0.00011792494,0.00018042754,0.00027080867,0.0002367955,0.00015889584,0.00213324],"category_scores_gemma":[0.00021565106,0.00009375421,0.00011907853,0.00009967032,0.00016446358,0.00039709854,0.000109390654,0.0002052559,0.00016383031],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006547175,0.00016661409,0.000599419,0.00025343083,0.000013224736,0.00009090056,0.00011127538,0.010002419,0.95492387,0.0037174805,0.0007059949,0.02876075],"study_design_scores_gemma":[0.000042493448,0.00045749356,0.0013495564,0.00001078183,0.00001446946,0.000059866412,0.000085897096,0.061488017,0.93265253,0.000751687,0.0030793825,0.000007897865],"about_ca_topic_score_codex":0.00019013883,"about_ca_topic_score_gemma":0.00030722155,"teacher_disagreement_score":0.00213324,"about_ca_system_score_codex":0.00018487744,"about_ca_system_score_gemma":0.00009790399,"threshold_uncertainty_score":0.0071364045},"labels":[],"label_agreement":null},{"id":"W2037414086","doi":"10.1109/tpel.2013.2251357","title":"Swinging Bus Technique for Ripple Current Elimination in Fuel Cell Power Conversion","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ripple; Current (fluid); Power (physics); Fuel cells; Electrical engineering; Automotive engineering; Engineering; Electronic engineering; Computer science; Physics; Voltage","score_opus":0.008171795748438019,"score_gpt":0.24693423777677717,"score_spread":0.23876244202833916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037414086","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09116957,0.0013787958,0.8837483,0.00020508116,0.00022814967,0.0001105406,0.00024525018,0.004063829,0.01885047],"genre_scores_gemma":[0.8973131,0.0007098198,0.090146996,0.00009554279,0.00009181315,0.00005866768,0.0002701976,0.00025256816,0.011061253],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99994886,0.000009928253,0.0000032627067,0.000006631933,0.000023684768,0.000007585442],"domain_scores_gemma":[0.99989843,0.000020451438,0.000009367943,0.000015636102,0.000047708687,0.000008365636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008136314,0.0003097172,0.00030571187,0.00055027165,0.00047638305,0.00037707225,0.0005273115,0.00018218048,0.009041321],"category_scores_gemma":[0.00019906655,0.00013221863,0.00014325153,0.0007838846,0.0001201217,0.000400081,0.00022891577,0.00037921133,0.0013439558],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008428798,0.00018496077,0.0005674816,0.0004659337,0.000038444774,0.00023043646,0.00021323985,0.0077707404,0.28059018,0.013077085,0.0045969873,0.6914216],"study_design_scores_gemma":[0.00020636532,0.0023699275,0.0037300235,0.00015727304,0.00016643804,0.0012727921,0.00027628485,0.3874057,0.5318509,0.013557883,0.058946446,0.00006006502],"about_ca_topic_score_codex":0.0005182032,"about_ca_topic_score_gemma":0.0012103497,"teacher_disagreement_score":0.009041321,"about_ca_system_score_codex":0.000111290836,"about_ca_system_score_gemma":0.00017302234,"threshold_uncertainty_score":0.030246198},"labels":[],"label_agreement":null},{"id":"W2037446287","doi":"10.1109/ecce.2010.5618435","title":"Techniques for efficiency gains in soft switching full-bridge Fuel Cell power conversion","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Inductor; Transformer; Topology (electrical circuits); Diode; Electronic engineering; Modulation (music); Computer science; Voltage; Electrical engineering; Engineering","score_opus":0.01334240716830847,"score_gpt":0.2787734831485055,"score_spread":0.265431075980197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037446287","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12432967,0.0036171372,0.84711814,0.00028867376,0.00010866799,0.00008837696,0.000036943737,0.0006879068,0.02372441],"genre_scores_gemma":[0.8512093,0.002013262,0.14089109,0.000095911055,0.00006740853,0.000077240344,0.000054594813,0.00009780879,0.0054933853],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997738,0.000023632614,0.000012993693,0.0000251612,0.00014520562,0.000019272913],"domain_scores_gemma":[0.99981505,0.00006759384,0.000035922927,0.000037988157,0.000036767768,0.0000068308973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027776204,0.00040461763,0.0002838184,0.00058639946,0.0002439747,0.00053852715,0.0005536819,0.00031542635,0.002297938],"category_scores_gemma":[0.0005419377,0.00021080769,0.00028925488,0.00038767507,0.00041272063,0.0010196267,0.000566699,0.0005917958,0.0006309337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016022686,0.00010218456,0.0003444722,0.00057276525,0.00003027604,0.00016015016,0.00021147566,0.008097249,0.64727145,0.045250583,0.0005446796,0.29725447],"study_design_scores_gemma":[0.0000645092,0.0005007347,0.0010078577,0.00008900019,0.00004102492,0.001079282,0.00007903417,0.054015532,0.89832824,0.020460423,0.024298575,0.000035813195],"about_ca_topic_score_codex":0.000050045124,"about_ca_topic_score_gemma":0.000114969,"teacher_disagreement_score":0.002297938,"about_ca_system_score_codex":0.0002105401,"about_ca_system_score_gemma":0.0001273227,"threshold_uncertainty_score":0.00768739},"labels":[],"label_agreement":null},{"id":"W2038198328","doi":"10.4271/2012-01-0334","title":"Temperature Rise in Prismatic Polymer Lithium-Ion Batteries: An Analytic Approach","year":2012,"lang":"en","type":"article","venue":"SAE International journal of passenger cars. Electronic and electrical systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Lithium (medication); Ion; Materials science; Polymer; Chemical engineering; Engineering physics; Composite material; Chemistry; Physics; Organic chemistry; Engineering; Psychology","score_opus":0.009414223261942158,"score_gpt":0.25719827474964574,"score_spread":0.24778405148770358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038198328","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15700857,0.0033684378,0.78900284,0.00094068213,0.00015616906,0.000113134796,0.00018353436,0.0005546144,0.048671972],"genre_scores_gemma":[0.95175296,0.0027705512,0.028742844,0.00014767419,0.00006871929,0.000098208446,0.000081455255,0.0001283188,0.016209258],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992085,0.000021525706,0.0000028814868,0.000012874246,0.000031859083,0.000010088752],"domain_scores_gemma":[0.9998729,0.00005817796,0.000018659133,0.000010063122,0.00003483021,0.0000053397052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002015194,0.00048272638,0.00037017447,0.00050519884,0.00025136335,0.0006535283,0.0007730176,0.00060042477,0.0014791595],"category_scores_gemma":[0.00084921246,0.0002533278,0.00051291654,0.00041186396,0.0007441807,0.0009928803,0.00052237965,0.0006329483,0.0003279915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004932352,0.00006113221,0.00039620526,0.00019151013,0.00001808004,0.0002633119,0.00020744382,0.87703,0.032536536,0.07179551,0.0010200834,0.016430775],"study_design_scores_gemma":[0.0000019601366,0.000009027857,0.00005057231,0.000004948098,0.0000024060662,0.00002542448,0.000016531314,0.9950169,0.00082571397,0.0035869996,0.0004557917,0.0000037761583],"about_ca_topic_score_codex":0.001794587,"about_ca_topic_score_gemma":0.001108607,"teacher_disagreement_score":0.001794587,"about_ca_system_score_codex":0.0007026473,"about_ca_system_score_gemma":0.0005635145,"threshold_uncertainty_score":0.0050981045},"labels":[],"label_agreement":null},{"id":"W2039320958","doi":"10.4271/2014-01-1849","title":"Li-Ion Battery SOC Estimation Using Non-Linear Estimation Strategies Based on Equivalent Circuit Models","year":2014,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Else Kröner-Fresenius-Stiftung","keywords":"Estimation; Equivalent circuit; Computer science; Battery (electricity); System on a chip; Engineering; Embedded system; Electrical engineering; Voltage; Power (physics); Physics","score_opus":0.035325335308212184,"score_gpt":0.2936768978914958,"score_spread":0.2583515625832836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039320958","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0955553,0.00067612226,0.89572644,0.00014373606,0.000039403854,0.000084593055,0.00014453828,0.0014466896,0.006183173],"genre_scores_gemma":[0.9436717,0.0005552992,0.052464336,0.00003797232,0.0000129816535,0.00007727855,0.0002771577,0.000047206508,0.0028562502],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982446,0.000046403566,0.000015156322,0.000036816113,0.00006447573,0.0000127324865],"domain_scores_gemma":[0.99963677,0.00017669228,0.000046999525,0.000038179016,0.00009553711,0.000005794892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025039245,0.0005810266,0.0005066495,0.00038239086,0.00018495732,0.00067812135,0.000565881,0.00039751406,0.00142694],"category_scores_gemma":[0.0011275315,0.00020312461,0.0005060732,0.0002617083,0.00015472855,0.00092980167,0.00024827413,0.00035461277,0.00043872593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001707608,0.0000729351,0.001527664,0.00018441859,0.000049674847,0.00008422333,0.0000731145,0.85044676,0.010644486,0.0016307356,0.00068207784,0.13443317],"study_design_scores_gemma":[0.000006706882,0.000058425787,0.00057840423,0.000006698105,0.000015117593,0.000027307777,0.000009180483,0.9961945,0.0024048684,0.00030000298,0.00039206873,0.0000067643723],"about_ca_topic_score_codex":0.007483658,"about_ca_topic_score_gemma":0.0062978705,"teacher_disagreement_score":0.007483658,"about_ca_system_score_codex":0.00039204178,"about_ca_system_score_gemma":0.00038520427,"threshold_uncertainty_score":0.01488018},"labels":[],"label_agreement":null},{"id":"W2041457326","doi":"10.5539/eer.v4n3p68","title":"Development of a Charge Controller Dedicated to the Small Wind Turbine System","year":2014,"lang":"en","type":"article","venue":"Energy and Environment Research","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Microcontroller; Charge controller; Turbine; Controller (irrigation); Battery (electricity); Pulse-width modulation; Voltage; Resistor; Power (physics); Computer science; Dissipation; Control theory (sociology); Charge (physics); Electrical engineering; Physics; Control (management); Computer hardware; Engineering; Mechanical engineering","score_opus":0.024580753536884093,"score_gpt":0.23862680814674286,"score_spread":0.21404605460985876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041457326","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029984111,0.000988033,0.9356245,0.0001733712,0.0006766657,0.0010970549,0.0003633214,0.0142538315,0.016839184],"genre_scores_gemma":[0.56423455,0.000889246,0.38098764,0.0005482124,0.0003627983,0.0017931273,0.0012489065,0.0015398003,0.048395827],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995573,0.000030735642,0.000027925938,0.000090523885,0.0002561955,0.000037337046],"domain_scores_gemma":[0.9994734,0.00008296053,0.000024473928,0.00008223026,0.00029356545,0.000043436357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030333555,0.0005445705,0.0006672518,0.0006166679,0.00041950488,0.0006448289,0.0016667251,0.0005808422,0.010699227],"category_scores_gemma":[0.0006787003,0.000331369,0.00029391903,0.00025640972,0.0002401036,0.00071461895,0.0004339977,0.00077024184,0.0033830823],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031353757,0.00028785138,0.002457269,0.0012502037,0.00013391543,0.0006661785,0.00030965998,0.016448954,0.47620395,0.0066793044,0.015427741,0.4798215],"study_design_scores_gemma":[0.0003631967,0.0018876075,0.008217779,0.0001736179,0.00025247576,0.0032066642,0.0001100543,0.19216244,0.52271837,0.0025486457,0.2681862,0.00017295193],"about_ca_topic_score_codex":0.0008496419,"about_ca_topic_score_gemma":0.00079142477,"teacher_disagreement_score":0.010699227,"about_ca_system_score_codex":0.00025599473,"about_ca_system_score_gemma":0.0007125913,"threshold_uncertainty_score":0.03579253},"labels":[],"label_agreement":null},{"id":"W2041569087","doi":"10.1149/2.052209jes","title":"Studies of the Effect of Triphenyl Phosphate on the Negative Electrode of Li-Ion Cells","year":2012,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Graphite; Electrolyte; Lithium (medication); Electrochemistry; Coke; Chemistry; Petroleum coke; Electrode; Capacity loss; Inorganic chemistry; Phosphate; Chemical engineering; Organic chemistry","score_opus":0.011308546529751693,"score_gpt":0.2669177494250592,"score_spread":0.2556092028953075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041569087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99007165,0.0021150198,0.0055418303,0.00012876368,0.000064926506,0.00004113863,0.00018612588,0.00008828616,0.0017622727],"genre_scores_gemma":[0.9934638,0.0010183278,0.0039121634,0.000066568035,0.000019275158,0.000021991811,0.00020769557,0.00003598279,0.0012541323],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993918,0.00009939974,0.000056950674,0.0001071976,0.00026741688,0.0000771943],"domain_scores_gemma":[0.9991092,0.00043940093,0.000116744864,0.00008229411,0.00020228726,0.0000501029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004896879,0.00047552216,0.00043792598,0.0002477201,0.0002445919,0.00046891885,0.0007822508,0.00048288054,0.001409506],"category_scores_gemma":[0.0015866478,0.00026180115,0.00026010358,0.00032144666,0.0002926747,0.00046844143,0.0002434066,0.0006141935,0.0003537123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002490986,0.000030285448,0.00025937334,0.0001360995,0.000009992283,0.00014584033,0.000042009582,0.00025260617,0.99500495,0.00005609149,0.000041133524,0.0037724907],"study_design_scores_gemma":[0.0000040140108,0.00026281882,0.00040697193,0.0000033508486,0.000009464911,0.00012853186,0.000014859514,0.00045093376,0.99825126,0.000015649546,0.00044900677,0.0000030587203],"about_ca_topic_score_codex":0.00094635185,"about_ca_topic_score_gemma":0.00071082753,"teacher_disagreement_score":0.001409506,"about_ca_system_score_codex":0.00023891247,"about_ca_system_score_gemma":0.0002578065,"threshold_uncertainty_score":0.004715264},"labels":[],"label_agreement":null},{"id":"W2042618867","doi":"10.1109/tsg.2014.2330832","title":"Toward a Realistic Performance Analysis of Storage Systems in Smart Grids","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Compressed air energy storage; Smoothing; Energy storage; Energy (signal processing); Grid; Generator (circuit theory); Smart grid; Electronic engineering; Simulation; Topology (electrical circuits); Electrical engineering; Engineering; Power (physics); Mathematics","score_opus":0.023129344269399922,"score_gpt":0.2504967339677721,"score_spread":0.2273673896983722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042618867","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25520378,0.0018792796,0.70109636,0.0027404693,0.00012603075,0.00021368437,0.00093207456,0.0007731359,0.03703517],"genre_scores_gemma":[0.9801277,0.0007024233,0.016369581,0.0001364135,0.000050086564,0.00008110802,0.00017232017,0.000079565565,0.0022808074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994553,0.0002002775,0.000021069412,0.0000637358,0.00017990105,0.00007973064],"domain_scores_gemma":[0.9983972,0.0010102713,0.00016874055,0.00013300126,0.00025005324,0.000040718976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009350351,0.0007779477,0.0006800117,0.0004578186,0.0005203771,0.0010345964,0.0008067699,0.0010793261,0.0030401926],"category_scores_gemma":[0.0053761033,0.00034109387,0.0005580904,0.0005465653,0.00083484396,0.002286973,0.000618233,0.0011456012,0.00040089551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013537209,0.000011721502,0.0002959483,0.000032604723,0.00000508167,0.000031555563,0.00002680894,0.9855865,0.00083140377,0.01116992,0.0003818007,0.0016130352],"study_design_scores_gemma":[0.0000024606195,0.000009453466,0.00008057208,0.0000048701086,0.0000019331794,0.000009212574,0.00001067742,0.99488515,0.0002698087,0.0044492865,0.0002743481,0.000002098162],"about_ca_topic_score_codex":0.004634203,"about_ca_topic_score_gemma":0.0023081682,"teacher_disagreement_score":0.004634203,"about_ca_system_score_codex":0.0013840491,"about_ca_system_score_gemma":0.00092821947,"threshold_uncertainty_score":0.01017046},"labels":[],"label_agreement":null},{"id":"W2044447949","doi":"10.1109/vppc.2014.7007066","title":"Event-Based Electric Vehicle Mass and Grade Estimation","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Acceleration; Computer science; Event (particle physics); Torque; Forgetting; Electric vehicle; Control theory (sociology); Automotive engineering; Power (physics); Simulation; Engineering; Artificial intelligence; Control (management)","score_opus":0.00915003697263803,"score_gpt":0.25125506872177994,"score_spread":0.2421050317491419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044447949","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059937004,0.00018135388,0.93765754,0.000032056014,0.0000525602,0.00003592172,0.000093983996,0.0010233121,0.0009861374],"genre_scores_gemma":[0.9367244,0.00018130339,0.060421012,0.000029125382,0.00004363024,0.000026681544,0.00030045866,0.00004469899,0.0022286836],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997117,0.000032277836,0.000019659652,0.00009561436,0.000110484405,0.000030229827],"domain_scores_gemma":[0.99964905,0.00007592202,0.00006432833,0.000052786367,0.00014427805,0.00001358354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003300797,0.0007740927,0.0005387451,0.0006895517,0.00014226395,0.0005438132,0.0009985608,0.00039325887,0.0008820435],"category_scores_gemma":[0.0012038965,0.00029478,0.00040494272,0.00040168202,0.00018923522,0.0008687903,0.00043278842,0.00048410697,0.00047779558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005430291,0.00026032559,0.01310515,0.00029480137,0.00016615614,0.0002707784,0.0001236376,0.41008472,0.05699169,0.0031168053,0.0010684418,0.51397437],"study_design_scores_gemma":[0.000012525318,0.00009824595,0.004382952,0.000007441374,0.000024706722,0.000049740174,0.0000129972095,0.9786622,0.015123867,0.00061272836,0.0009969651,0.000015621108],"about_ca_topic_score_codex":0.0029424042,"about_ca_topic_score_gemma":0.0033018715,"teacher_disagreement_score":0.0029424042,"about_ca_system_score_codex":0.0002553648,"about_ca_system_score_gemma":0.00020558554,"threshold_uncertainty_score":0.0058505535},"labels":[],"label_agreement":null},{"id":"W2044844505","doi":"10.1109/itec.2014.6861853","title":"Dynamic analysis of the interaction between an Interleaved Boost Converter with Coupled Inductor and a Constant Power Load","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Inductor; Electrical impedance; MATLAB; Boost converter; Control theory (sociology); Controller (irrigation); Power (physics); Stability (learning theory); Input impedance; Topology (electrical circuits); Computer science; Output impedance; Network topology; Constant (computer programming); Electronic engineering; Engineering; Electrical engineering; Voltage; Physics; Control (management)","score_opus":0.009930403803988597,"score_gpt":0.25710063118723714,"score_spread":0.24717022738324854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044844505","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35619923,0.00052407035,0.60366607,0.00017688294,0.00005289663,0.00010997668,0.00008083892,0.0005888742,0.038601115],"genre_scores_gemma":[0.9921228,0.0000973802,0.0046017366,0.00002093156,0.000008358952,0.00002003492,0.000022403023,0.000019167694,0.0030870785],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998031,0.00003946211,0.00000544861,0.000034870853,0.00008732729,0.000029671204],"domain_scores_gemma":[0.99987006,0.00006036647,0.000019588964,0.000010647351,0.00002945654,0.000009889201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002282186,0.00040319393,0.00045493414,0.00029262196,0.00034416185,0.0007030375,0.0005758922,0.00036278457,0.0028320288],"category_scores_gemma":[0.00035708534,0.00023072923,0.0004246028,0.00026000093,0.00042924058,0.0006772427,0.00045339487,0.0004313695,0.00036866765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006841962,0.000187806,0.0035976295,0.000403768,0.00021269704,0.0021445765,0.0005259123,0.7172145,0.20130566,0.024661483,0.0009097833,0.04815196],"study_design_scores_gemma":[0.000013379239,0.00011145586,0.00082645845,0.0000075971843,0.000029461919,0.0001743502,0.000051286595,0.98500097,0.01048789,0.0017839787,0.0015024568,0.000010718335],"about_ca_topic_score_codex":0.0018707864,"about_ca_topic_score_gemma":0.0014153497,"teacher_disagreement_score":0.0028320288,"about_ca_system_score_codex":0.0005835721,"about_ca_system_score_gemma":0.00031733204,"threshold_uncertainty_score":0.009474039},"labels":[],"label_agreement":null},{"id":"W2045636285","doi":"10.1109/wac.2014.6935979","title":"Takagi-Sugeno fuzzy model identification of Li-ion battery systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Battery (electricity); Computer science; Identification (biology); Electrification; Fuzzy logic; Lithium-ion battery; Fuzzy control system; Voltage; System identification; Control engineering; Control theory (sociology); Control (management); Data modeling; Engineering; Artificial intelligence; Power (physics); Electrical engineering","score_opus":0.01772565119441068,"score_gpt":0.2504724162640268,"score_spread":0.23274676506961609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045636285","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05749436,0.00164079,0.92670584,0.00029253634,0.00011063705,0.00006781068,0.00017837115,0.00044132763,0.013068371],"genre_scores_gemma":[0.9802372,0.0007302968,0.013883717,0.000027238842,0.00002732392,0.000107725136,0.000102909944,0.000012108404,0.004871557],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998141,0.00004268383,0.000016573638,0.0000458205,0.00006179621,0.000019138535],"domain_scores_gemma":[0.9998685,0.000047838334,0.000028392755,0.000011074116,0.000038323113,0.0000057639995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000304862,0.0005398744,0.0006841727,0.0003039455,0.00042991075,0.0009332271,0.00066829653,0.00063554733,0.0011506134],"category_scores_gemma":[0.0005486821,0.00021695034,0.00047722113,0.000381257,0.0003103166,0.0006787032,0.00042197574,0.00059781777,0.00029781304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005957118,0.00002790392,0.0007400801,0.00019507004,0.000044374327,0.00019245828,0.00018930182,0.9542418,0.00569149,0.00930112,0.00055257167,0.028764185],"study_design_scores_gemma":[0.0000034724417,0.000027619832,0.00027372912,0.00001064543,0.000009999578,0.00002399156,0.000026423784,0.99584347,0.0007187145,0.0023983598,0.00065496675,0.000008529762],"about_ca_topic_score_codex":0.008033651,"about_ca_topic_score_gemma":0.0059151165,"teacher_disagreement_score":0.008033651,"about_ca_system_score_codex":0.00042407715,"about_ca_system_score_gemma":0.0005829408,"threshold_uncertainty_score":0.015973806},"labels":[],"label_agreement":null},{"id":"W2046831060","doi":"10.1149/1.3531997","title":"Evaluation of Effects of Additives in Wound Li-Ion Cells Through High Precision Coulometry","year":2011,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":121,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Coulometry; Electrolyte; Faraday efficiency; Lithium (medication); Ion; Chemistry; Graphite; Analytical Chemistry (journal); Materials science; Electrochemistry; Electrode; Chromatography; Organic chemistry; Physical chemistry","score_opus":0.018878619621220012,"score_gpt":0.2790775140139539,"score_spread":0.2601988943927339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046831060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857657,0.0013931829,0.0119047975,0.00007654136,0.00005662978,0.000096798874,0.00012766052,0.00014765303,0.00043100343],"genre_scores_gemma":[0.97074,0.0010838358,0.026376776,0.000077942386,0.000017290864,0.00010113475,0.00022396805,0.000044714434,0.0013343316],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985964,0.00025115575,0.0001955533,0.00018505576,0.0006367438,0.00013512204],"domain_scores_gemma":[0.9981699,0.0006247777,0.00027347228,0.00021665379,0.0006232332,0.00009191212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000690659,0.00059955305,0.00069268397,0.0004195435,0.0002786267,0.00076085905,0.0009170019,0.0006660504,0.0006909641],"category_scores_gemma":[0.0021648235,0.00029063429,0.0003327765,0.00047903525,0.0003278408,0.00062320504,0.00047832256,0.0005880802,0.00016660814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005404402,0.00007031917,0.0007513104,0.00013519234,0.00002054175,0.000051627674,0.00006170696,0.00032198225,0.9931397,0.000048040478,0.000021797247,0.0048373165],"study_design_scores_gemma":[0.000010409445,0.0007035723,0.0010892607,0.000004336026,0.000027512024,0.000048396392,0.000036833277,0.0009944175,0.99661404,0.000018656994,0.00044715166,0.0000053443655],"about_ca_topic_score_codex":0.0007559104,"about_ca_topic_score_gemma":0.0011464292,"teacher_disagreement_score":0.0009170019,"about_ca_system_score_codex":0.0002823206,"about_ca_system_score_gemma":0.00024448676,"threshold_uncertainty_score":0.0036525726},"labels":[],"label_agreement":null},{"id":"W2047014835","doi":"10.1115/detc2013-13489","title":"High-Fidelity Modeling of a Power-Split Plug-In Hybrid Electric Powertrain for Control Performance Evaluation","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Powertrain; Plug-in; Automotive engineering; Battery pack; Battery (electricity); Computer science; Power (physics); Electric vehicle; Power management; Software; Control engineering; Simulation; Engineering; Torque","score_opus":0.017448263074102455,"score_gpt":0.26650404903140923,"score_spread":0.24905578595730676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047014835","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23381008,0.00024347684,0.70635164,0.0003854572,0.00012778034,0.00028046608,0.001146754,0.0020748791,0.055579532],"genre_scores_gemma":[0.97383815,0.00013234283,0.018763121,0.000028831488,0.000009175425,0.00025517782,0.000358453,0.00007252163,0.006542115],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991024,0.000012722398,0.0000039349734,0.000012085886,0.000049343787,0.0000116359915],"domain_scores_gemma":[0.999876,0.000050628925,0.0000129300715,0.000017785345,0.000036007477,0.0000066962716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015714305,0.00042570112,0.00036891553,0.00024222683,0.0003145102,0.000640267,0.0008609228,0.000666668,0.004506814],"category_scores_gemma":[0.0004159999,0.00020646284,0.0004036939,0.00022734814,0.00029128118,0.00053019787,0.0003592565,0.0005055503,0.00051654346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019836996,0.000022149214,0.00035541534,0.000043838678,0.0000065811123,0.000054571647,0.00003917371,0.98965704,0.0032863526,0.0024179446,0.00026442469,0.0038327284],"study_design_scores_gemma":[0.000003834572,0.000012948693,0.00010466595,0.000002923508,0.0000023408481,0.0000074527343,0.000006525098,0.9978728,0.0009957324,0.0002758501,0.0007130491,0.0000019985075],"about_ca_topic_score_codex":0.008383196,"about_ca_topic_score_gemma":0.0045098206,"teacher_disagreement_score":0.008383196,"about_ca_system_score_codex":0.0004829715,"about_ca_system_score_gemma":0.00082904124,"threshold_uncertainty_score":0.016668797},"labels":[],"label_agreement":null},{"id":"W2047337887","doi":"10.1109/tpel.2015.2397453","title":"Comprehensive DC Power Balance Management in High-Power Three-Level DC–DC Converter for Electric Vehicle Fast Charging","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":167,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Power (physics); Power Balance; Electric vehicle; Electrical engineering; Computer science; Power management; Engineering; Automotive engineering; Electronic engineering; Physics","score_opus":0.023205023874507923,"score_gpt":0.25993760928805126,"score_spread":0.23673258541354333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047337887","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.099288054,0.0012315264,0.87813944,0.00026995764,0.00012040127,0.00013627113,0.000050400948,0.0013983791,0.019365601],"genre_scores_gemma":[0.9725166,0.00036766828,0.023496954,0.000056300392,0.00003320545,0.00003790319,0.00003391696,0.000020283009,0.0034372248],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998497,0.000019108156,0.00000941068,0.00003319922,0.00007177654,0.00001684153],"domain_scores_gemma":[0.99993205,0.000009490989,0.000008648181,0.000008946452,0.000035121433,0.0000056748245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015644635,0.00033727434,0.00024428265,0.0002922152,0.00046257116,0.00080773485,0.00052075495,0.00023779598,0.0016168985],"category_scores_gemma":[0.00015362172,0.00012973334,0.0001987555,0.00045489293,0.00019106806,0.00074086,0.00033898282,0.00036619138,0.00027810203],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030749655,0.00027986537,0.0016882275,0.00041267727,0.00006477423,0.00043831175,0.00045210967,0.08918452,0.28048474,0.040245336,0.0047812243,0.5816606],"study_design_scores_gemma":[0.00010322787,0.0005903469,0.0021137758,0.000056538425,0.000069056376,0.00060158013,0.00019355779,0.836512,0.11824399,0.016062874,0.025399318,0.000053777465],"about_ca_topic_score_codex":0.0011421693,"about_ca_topic_score_gemma":0.001546597,"teacher_disagreement_score":0.0016168985,"about_ca_system_score_codex":0.0003537683,"about_ca_system_score_gemma":0.0005019172,"threshold_uncertainty_score":0.005409062},"labels":[],"label_agreement":null},{"id":"W2049127970","doi":"10.1016/j.enconman.2014.06.076","title":"A rapid estimation and sensitivity analysis of parameters describing the behavior of commercial Li-ion batteries including thermal analysis","year":2014,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología","keywords":"Battery (electricity); Sensitivity (control systems); State of charge; Voltage; Parametric statistics; Ion; Thermal analysis; State of health; Cathode; Anode; Thermal; Electric vehicle; Materials science; Analytical Chemistry (journal); Chemistry; Nuclear engineering; Electrical engineering; Electrode; Engineering; Thermodynamics; Power (physics); Physics; Electronic engineering; Mathematics; Statistics","score_opus":0.03499965795532269,"score_gpt":0.24916798444564728,"score_spread":0.21416832649032458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049127970","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14755128,0.00065167114,0.8444548,0.00016722547,0.0000353734,0.00015150673,0.0004272309,0.0023400255,0.004220834],"genre_scores_gemma":[0.9372103,0.0002502554,0.060872227,0.000049045386,0.000014602358,0.00014148468,0.00032490728,0.00011851784,0.0010186358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949026,0.00016050703,0.000024972718,0.00007856153,0.00021377367,0.00003189016],"domain_scores_gemma":[0.9975485,0.0019261872,0.00010225562,0.00019320153,0.00021463243,0.000015164482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009794146,0.0011220083,0.00064831454,0.00062798144,0.000320272,0.00059364055,0.00053216616,0.0006320122,0.0015248909],"category_scores_gemma":[0.0046008574,0.00047560057,0.00065290736,0.00039027783,0.00035424312,0.00076119014,0.0006163856,0.0006973559,0.0003391679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002314784,0.00010104407,0.0021176331,0.0003263519,0.00009788261,0.00015720901,0.00009308136,0.7994221,0.12689994,0.0024000516,0.0007297071,0.06742356],"study_design_scores_gemma":[0.000008101775,0.00011143145,0.0016234091,0.000009775701,0.000026575695,0.0001110936,0.000023113113,0.94663423,0.04917734,0.0014200662,0.00082568265,0.000029113075],"about_ca_topic_score_codex":0.0019343052,"about_ca_topic_score_gemma":0.0013336284,"teacher_disagreement_score":0.0019343052,"about_ca_system_score_codex":0.0004973609,"about_ca_system_score_gemma":0.0003958866,"threshold_uncertainty_score":0.0051796436},"labels":[],"label_agreement":null},{"id":"W2049607444","doi":"10.1149/2.0301412jes","title":"Determination of the Voltage Dependence of Parasitic Heat Flow in Lithium Ion Cells Using Isothermal Microcalorimetry","year":2014,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Isothermal microcalorimetry; Isothermal process; Lithium (medication); Ion; Materials science; Chemistry; Heat flow; Analytical Chemistry (journal); Thermodynamics; Physics; Chromatography; Thermal; Organic chemistry; Enthalpy","score_opus":0.007987508222497528,"score_gpt":0.24634930632531263,"score_spread":0.2383617981028151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049607444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9620944,0.0016995687,0.031478312,0.0002421638,0.00009562673,0.00009935227,0.0006588787,0.0008248285,0.002806809],"genre_scores_gemma":[0.9916501,0.00051921885,0.006420317,0.000056790555,0.000024364243,0.00005121809,0.000170783,0.000051222145,0.0010560121],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994698,0.000070957954,0.000025238469,0.00011192611,0.0002670203,0.000055099605],"domain_scores_gemma":[0.99921846,0.0004482841,0.00006899693,0.00008308605,0.00014966291,0.000031586842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005069262,0.00039763705,0.00043257477,0.000529145,0.00044027917,0.00059146306,0.0010030284,0.0005904425,0.0009194122],"category_scores_gemma":[0.001624694,0.0003543139,0.00028670617,0.0004604887,0.0008141649,0.00069380674,0.0003132949,0.0011651181,0.00034632062],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104403916,0.000042129286,0.0011557051,0.000073074436,0.0000096409185,0.000035644385,0.00017943895,0.0003543033,0.98853135,0.00015350906,0.00013390843,0.009226831],"study_design_scores_gemma":[0.000004342732,0.00009005025,0.0041729715,0.000006079328,0.0000073407386,0.000053026135,0.00003673255,0.004504785,0.99062485,0.000046713045,0.0004405685,0.000012646543],"about_ca_topic_score_codex":0.002084199,"about_ca_topic_score_gemma":0.003887378,"teacher_disagreement_score":0.002084199,"about_ca_system_score_codex":0.00074290525,"about_ca_system_score_gemma":0.00036109315,"threshold_uncertainty_score":0.005390227},"labels":[],"label_agreement":null},{"id":"W2050255783","doi":"10.1149/2.078207jes","title":"Impedance Reducing Additives and Their Effect on Cell Performance","year":2012,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrolyte; Faraday efficiency; Graphite; Electrode; Materials science; Electrical impedance; Chemistry; Chemical engineering; Analytical Chemistry (journal); Composite material; Electrical engineering; Chromatography","score_opus":0.005389519165475687,"score_gpt":0.2249766644172574,"score_spread":0.2195871452517817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050255783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968027,0.0012827701,0.00092857954,0.000044610555,0.000020774085,0.0000121585235,0.00012462135,0.00006618469,0.00071765465],"genre_scores_gemma":[0.994009,0.0010146695,0.002716816,0.00003569532,0.000008169381,0.00002173859,0.00030682693,0.000031647203,0.0018554464],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995061,0.00009259156,0.00006299658,0.00007117883,0.00018382254,0.00008325642],"domain_scores_gemma":[0.9994754,0.0001906518,0.00006577656,0.00004855849,0.00017054472,0.00004907413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003167357,0.00032319236,0.00038954776,0.0003546113,0.00020514397,0.00060333346,0.00046930497,0.00050068967,0.0014393706],"category_scores_gemma":[0.0009500531,0.00016602644,0.00015716508,0.0006328235,0.00016897517,0.00038476993,0.00031280096,0.00045155015,0.0003217005],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039880167,0.000041529303,0.0003708639,0.00008745759,0.00000962145,0.0000673336,0.000056510664,0.00016419849,0.99466336,0.000039334154,0.000031674103,0.0040694224],"study_design_scores_gemma":[0.000004552546,0.00023526738,0.0010951676,0.0000050391227,0.000011222747,0.000056621302,0.00003183135,0.0003112886,0.99755967,0.0000093788885,0.0006761976,0.000003843248],"about_ca_topic_score_codex":0.0007221826,"about_ca_topic_score_gemma":0.0011559135,"teacher_disagreement_score":0.0014393706,"about_ca_system_score_codex":0.00022996626,"about_ca_system_score_gemma":0.00015169808,"threshold_uncertainty_score":0.004815161},"labels":[],"label_agreement":null},{"id":"W2051034611","doi":"10.1109/acc.2013.6580673","title":"Optimal control and state estimation of lithium-ion batteries using reformulated models","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Observability; Model predictive control; Computer science; Optimal control; Nonlinear system; Estimator; Control theory (sociology); Battery (electricity); State of charge; Mathematical optimization; Control engineering; Control (management); Engineering; Power (physics); Mathematics; Artificial intelligence; Applied mathematics","score_opus":0.01836519316696786,"score_gpt":0.2593802586622003,"score_spread":0.24101506549523247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051034611","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027519923,0.00054391375,0.9656069,0.00022547499,0.000043402895,0.00006434684,0.00014568315,0.00027603123,0.00557423],"genre_scores_gemma":[0.9340916,0.00066396664,0.059463818,0.00006959853,0.000041209703,0.00021102052,0.00026956393,0.000049767208,0.0051393043],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997441,0.00008676305,0.000011629711,0.000046780704,0.0000843016,0.000026453316],"domain_scores_gemma":[0.9996013,0.00018826396,0.00007662614,0.000031489744,0.00008978055,0.000012611696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042136054,0.0006361127,0.0010581354,0.00026514308,0.00025149088,0.0010344677,0.0008555969,0.00093258,0.0012772135],"category_scores_gemma":[0.0014721068,0.0004012417,0.0006286869,0.00025811198,0.0006259549,0.0008043188,0.0005908723,0.0009292079,0.00022413324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018204866,0.0000086527925,0.00009929321,0.000026741793,0.0000069377184,0.000018302071,0.000014631704,0.99334335,0.0006767965,0.0029394268,0.00013164968,0.0027158977],"study_design_scores_gemma":[0.000002414365,0.0000069869566,0.00003051026,0.0000016909336,0.0000021085452,0.0000017324551,0.0000018052706,0.9991861,0.00015164763,0.0004836904,0.0001296981,0.000001685283],"about_ca_topic_score_codex":0.012278208,"about_ca_topic_score_gemma":0.0065550115,"teacher_disagreement_score":0.012278208,"about_ca_system_score_codex":0.0009660219,"about_ca_system_score_gemma":0.0010909562,"threshold_uncertainty_score":0.024413466},"labels":[],"label_agreement":null},{"id":"W2051418848","doi":"10.1149/1.1906025","title":"High-Rate Overcharge Protection of LiFePO[sub 4]-Based Li-Ion Cells Using the Redox Shuttle Additive 2,5-Ditertbutyl-1,4-dimethoxybenzene","year":2005,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":182,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts; Dalhousie University","keywords":"Overcharge; Electrolyte; Chemistry; Ethylene carbonate; Lithium (medication); Inorganic chemistry; Battery (electricity); Electrode; Physical chemistry","score_opus":0.012400681205523952,"score_gpt":0.24674956611560472,"score_spread":0.23434888491008077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051418848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99676573,0.000736634,0.0017298516,0.00004171491,0.000015463604,0.000009089759,0.00015465764,0.00010739724,0.00043939718],"genre_scores_gemma":[0.99641186,0.00055089954,0.0017015061,0.000034738023,0.0000061007117,0.000011707922,0.00025997576,0.000034879173,0.0009883875],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987006,0.00001263922,0.000013134238,0.00002863252,0.000041367737,0.000034194112],"domain_scores_gemma":[0.99981004,0.000045288478,0.000040885163,0.000025126095,0.000050481533,0.000028121112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016293328,0.0002976606,0.0004127102,0.00017625003,0.00017911504,0.00046739978,0.00060214376,0.0003792059,0.0011143724],"category_scores_gemma":[0.00028983486,0.0001652037,0.00016502672,0.00029729077,0.0002580347,0.00062876,0.000318386,0.0003832273,0.00039639283],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012346754,0.000013387719,0.0004309971,0.000044000877,0.0000064760698,0.00006625161,0.000039478335,0.00010242088,0.9969934,0.000030816387,0.000031438332,0.0021178422],"study_design_scores_gemma":[0.0000032960245,0.00006609386,0.0008600327,0.0000027671185,0.0000045142665,0.000045608038,0.000018129293,0.00043689559,0.9981342,0.000007954316,0.00041748903,0.0000029593452],"about_ca_topic_score_codex":0.00067965436,"about_ca_topic_score_gemma":0.0015772629,"teacher_disagreement_score":0.0011143724,"about_ca_system_score_codex":0.00028443223,"about_ca_system_score_gemma":0.00016659431,"threshold_uncertainty_score":0.003727913},"labels":[],"label_agreement":null},{"id":"W2051453853","doi":"10.1109/vppc.2013.6671663","title":"Ageing Estimation of Lithium-Ion Batteries Applied to a Three-Wheel PHEV Roadster","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Internal resistance; Automotive engineering; Battery (electricity); Overheating (electricity); Driving cycle; Lithium-ion battery; Electric vehicle; Battery pack; Cycling; Charge cycle; Voltage; Computer science; Power (physics); Electrical engineering; Environmental science; Automotive battery; Engineering","score_opus":0.014446287408082686,"score_gpt":0.24753220881595683,"score_spread":0.23308592140787415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051453853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926192,0.00013169166,0.0064180717,0.0000121586845,0.000007845448,0.000022322887,0.00018468584,0.00013430724,0.00046977497],"genre_scores_gemma":[0.9984713,0.00006193107,0.0009358422,0.0000035004655,0.0000013502486,0.0000116565725,0.00012052501,0.000008163639,0.00038571717],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998783,0.000019196814,0.000012424005,0.000029978326,0.000045736564,0.000014370636],"domain_scores_gemma":[0.99960524,0.000101729274,0.000048413218,0.000055820707,0.00017355141,0.000015315616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026364898,0.00028826488,0.00028694436,0.00053189433,0.00015521633,0.00022247639,0.00033623885,0.00039065452,0.0007019607],"category_scores_gemma":[0.0006784671,0.00010086624,0.00023080691,0.00024002099,0.00015043395,0.00026918692,0.00017789773,0.00017083515,0.00028310955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012379542,0.00023640053,0.05569696,0.000535911,0.00009737092,0.00063347205,0.00088674517,0.09426022,0.7510793,0.0002524468,0.00058837596,0.09449482],"study_design_scores_gemma":[0.00002319383,0.0018704286,0.101226605,0.00003103707,0.00008894064,0.00031523625,0.00039464288,0.22074568,0.6726109,0.00025051655,0.002391822,0.000051073384],"about_ca_topic_score_codex":0.0015603022,"about_ca_topic_score_gemma":0.0016051732,"teacher_disagreement_score":0.0015603022,"about_ca_system_score_codex":0.00023579811,"about_ca_system_score_gemma":0.00009958092,"threshold_uncertainty_score":0.0031024814},"labels":[],"label_agreement":null},{"id":"W2051655329","doi":"10.1016/j.electacta.2015.02.021","title":"Empirical Modeling of Lithium-ion Batteries Based on Electrochemical Impedance Spectroscopy Tests","year":2015,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; General Motors of Canada; Ontario Research Foundation","keywords":"Battery (electricity); Internal resistance; Dielectric spectroscopy; Controller (irrigation); Equivalent circuit; Lithium-ion battery; Thévenin's theorem; Powertrain; Pulsed power; State of charge; Automotive engineering; Output impedance; Electrical impedance; Electrical engineering; Power (physics); Engineering; Voltage; Chemistry; Electrochemistry; Electrode; Physics","score_opus":0.027677944929652747,"score_gpt":0.2999384606245478,"score_spread":0.27226051569489507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051655329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5061848,0.0019196232,0.44242463,0.0010594688,0.000099439596,0.00026963055,0.0014448597,0.0014197337,0.045177698],"genre_scores_gemma":[0.9907788,0.0004615304,0.0036998251,0.00003780107,0.000014152126,0.00009167522,0.00021152478,0.000041676376,0.004662968],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976283,0.000051994877,0.00002027549,0.00004709353,0.000089330584,0.000028482718],"domain_scores_gemma":[0.9993461,0.0003764567,0.00007175524,0.00006314347,0.0001326213,0.000010031113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038915046,0.0008138988,0.000730369,0.00065178575,0.00025054745,0.0009487899,0.0018031681,0.0013414193,0.0020874676],"category_scores_gemma":[0.002345577,0.00036537484,0.0006440977,0.0006166377,0.000408604,0.0019289071,0.0003781437,0.00062955753,0.00071500655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072745985,0.00008207695,0.0015257377,0.0001197391,0.00002927736,0.00017438925,0.00010023218,0.97100955,0.008530333,0.0065593007,0.00044010923,0.011356521],"study_design_scores_gemma":[0.0000032010885,0.000015564132,0.00029519552,0.0000055398114,0.0000051403927,0.000025933456,0.000008900575,0.9967437,0.0014248705,0.0011853675,0.0002817716,0.000004778915],"about_ca_topic_score_codex":0.0032221808,"about_ca_topic_score_gemma":0.001640522,"teacher_disagreement_score":0.0032221808,"about_ca_system_score_codex":0.00071464037,"about_ca_system_score_gemma":0.00039831997,"threshold_uncertainty_score":0.00698328},"labels":[],"label_agreement":null},{"id":"W2052009224","doi":"10.1109/itec.2013.6573510","title":"Analysis and design of a High Voltage Active Electric Accumulator","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Mitacs","keywords":"Accumulator (cryptography); Voltage; Electrical engineering; Aerospace; Power electronics; Electronics; High voltage; Engineering; Battery (electricity); Automotive engineering; Computer science; Low voltage; Power (physics); Aerospace engineering","score_opus":0.016741058049534824,"score_gpt":0.2591675820577639,"score_spread":0.2424265240082291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052009224","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04485045,0.000922707,0.9308736,0.00023065256,0.00007212562,0.0002361978,0.00009889893,0.0008395705,0.021875883],"genre_scores_gemma":[0.89098305,0.0006832422,0.09727033,0.00006549921,0.000034360575,0.00020495527,0.00008427599,0.00008335899,0.010590886],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997458,0.000046366466,0.000010736014,0.000047631213,0.000125367,0.000024062385],"domain_scores_gemma":[0.99974936,0.00007439275,0.00005430537,0.000025275398,0.00008382984,0.00001283754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032273235,0.00062513753,0.00064528966,0.00045018425,0.00046051788,0.0014617272,0.0012443382,0.00081950525,0.0034532067],"category_scores_gemma":[0.00055552257,0.00042895245,0.00059992913,0.00031059806,0.00039145045,0.00082330493,0.00037225548,0.0005028462,0.00090682274],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024330334,0.00009962871,0.001419913,0.00072414655,0.00014138491,0.0003584413,0.00013175042,0.78292096,0.09335545,0.02589811,0.0012121727,0.093494795],"study_design_scores_gemma":[0.000023960454,0.00030744993,0.00037312906,0.00002948367,0.00006686513,0.0001599709,0.000026818241,0.9639789,0.02536735,0.0014679218,0.008180869,0.000017294758],"about_ca_topic_score_codex":0.0015231292,"about_ca_topic_score_gemma":0.0014390594,"teacher_disagreement_score":0.0034532067,"about_ca_system_score_codex":0.0006973213,"about_ca_system_score_gemma":0.001138815,"threshold_uncertainty_score":0.011552095},"labels":[],"label_agreement":null},{"id":"W2052407181","doi":"10.1149/1.3492329","title":"Cycle Life Prediction of Battery-Supercapacitor Hybrids Using Artificial Neural Networks","year":2010,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial neural network; Battery (electricity); Supercapacitor; Correlation coefficient; Computer science; Automotive engineering; Artificial intelligence; Engineering; Machine learning; Electrode; Chemistry; Electrochemistry; Power (physics)","score_opus":0.02163137233229829,"score_gpt":0.24634816839085089,"score_spread":0.2247167960585526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052407181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9585708,0.0002585496,0.039283033,0.000056523586,0.00001670227,0.000019571806,0.00024182952,0.0003783534,0.0011746675],"genre_scores_gemma":[0.9964972,0.000048929905,0.0029005012,0.0000043927735,0.0000023126886,0.000016918499,0.00009707229,0.0000058669793,0.00042676917],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999936,0.000014343751,0.000005969611,0.000014295763,0.000022062564,0.000007310508],"domain_scores_gemma":[0.9996124,0.0002051112,0.000037416095,0.000021038768,0.00011347903,0.000010649634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027942585,0.0003706987,0.0002946932,0.00045624305,0.00015344456,0.0002658455,0.00024034295,0.0003621491,0.00042816842],"category_scores_gemma":[0.0008671134,0.00015341764,0.00018981604,0.0003262093,0.00013424888,0.00039859745,0.00014229312,0.00025721945,0.00008985662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030226653,0.000082012564,0.007357591,0.00006524808,0.000035994668,0.00006144297,0.00004179032,0.9242827,0.023100784,0.00035460544,0.00027400974,0.04404159],"study_design_scores_gemma":[0.000001420606,0.000021983786,0.0010031117,0.0000010982493,0.0000024983874,0.0000035981889,0.0000028176946,0.9942081,0.0046077026,0.00009936601,0.00004526483,0.0000030540723],"about_ca_topic_score_codex":0.0036516278,"about_ca_topic_score_gemma":0.0040402436,"teacher_disagreement_score":0.0036516278,"about_ca_system_score_codex":0.00052903604,"about_ca_system_score_gemma":0.00018355077,"threshold_uncertainty_score":0.00726074},"labels":[],"label_agreement":null},{"id":"W2053968386","doi":"10.1016/j.energy.2014.03.012","title":"Investigation on a hydrogel based passive thermal management system for lithium ion batteries","year":2014,"lang":"en","type":"article","venue":"Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Battery (electricity); Battery pack; Materials science; Nuclear engineering; Automotive engineering; Range (aeronautics); Depth of discharge; Thermal management of electronic devices and systems; Thermal; Process engineering; Energy storage; Lithium (medication); Environmental science; Mechanical engineering; Engineering; Composite material; Thermodynamics","score_opus":0.015242006400331725,"score_gpt":0.21745940320736276,"score_spread":0.20221739680703105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053968386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98456013,0.0021041625,0.01035361,0.00015385906,0.000059059148,0.00005853732,0.000072716495,0.000063251995,0.0025747716],"genre_scores_gemma":[0.9921475,0.0007364155,0.0043800254,0.000054288816,0.000015241939,0.000029056577,0.00004613588,0.000011229081,0.0025801677],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999915,0.00001116149,0.0000052247337,0.00001845776,0.000035109082,0.000014940055],"domain_scores_gemma":[0.99991715,0.000021323049,0.00002330776,0.000005759115,0.00002280443,0.0000096081185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013577793,0.00018958088,0.0001422653,0.00009741703,0.00014187489,0.00027146217,0.00024142838,0.00019637935,0.0010216866],"category_scores_gemma":[0.00018173821,0.0000830063,0.00017490602,0.00008718516,0.0001547855,0.00050794537,0.00014582502,0.0001658146,0.00015976607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057003028,0.000021528615,0.00010151738,0.00011162994,0.0000036508438,0.000044891014,0.000024062183,0.00012886286,0.9969886,0.00013983475,0.00004584622,0.002332572],"study_design_scores_gemma":[0.0000063040407,0.00024552137,0.00039913369,0.000005327208,0.000011859257,0.00008114888,0.00002931155,0.0027110253,0.99525034,0.000021336731,0.0012341988,0.000004514998],"about_ca_topic_score_codex":0.00019957188,"about_ca_topic_score_gemma":0.00031078202,"teacher_disagreement_score":0.0010216866,"about_ca_system_score_codex":0.00015519783,"about_ca_system_score_gemma":0.00013038046,"threshold_uncertainty_score":0.0034178495},"labels":[],"label_agreement":null},{"id":"W2055053793","doi":"10.4271/2013-01-1530","title":"Li-Ion Battery SoC Estimation Using a Bayesian Tracker","year":2013,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Bayesian probability; Battery (electricity); Estimation; Artificial intelligence; Engineering; Systems engineering; Physics","score_opus":0.01691133307594921,"score_gpt":0.26875976045706435,"score_spread":0.2518484273811151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055053793","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031271387,0.00016843194,0.9651594,0.0001349665,0.000029791876,0.00003176256,0.00008295014,0.0007753368,0.002345911],"genre_scores_gemma":[0.6940583,0.00029153217,0.30057952,0.00016026082,0.000053722033,0.000102808815,0.00049578055,0.00010384962,0.0041542756],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996692,0.00007784805,0.000017794526,0.00009627429,0.000114303366,0.000024619872],"domain_scores_gemma":[0.99910116,0.00041192662,0.00010524528,0.00007224447,0.0002829481,0.000026458798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009443428,0.00047953898,0.0007863179,0.0005255721,0.0003041458,0.0007364264,0.0006963046,0.00086435163,0.0011036157],"category_scores_gemma":[0.0044754404,0.00040552064,0.00037359202,0.0005897951,0.00028839905,0.0012406016,0.0006062424,0.0007309814,0.00059335603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017687777,0.000086469125,0.0045709135,0.000057402776,0.00006069908,0.00006610808,0.000056404126,0.805285,0.006738566,0.005109669,0.0020996146,0.17569219],"study_design_scores_gemma":[0.0000045377033,0.0000098879555,0.00034772092,0.0000023123027,0.0000029663242,0.000014715135,0.0000020096286,0.9980799,0.00062205864,0.00070748467,0.00020206229,0.000004381335],"about_ca_topic_score_codex":0.007421875,"about_ca_topic_score_gemma":0.008834414,"teacher_disagreement_score":0.007421875,"about_ca_system_score_codex":0.0007277022,"about_ca_system_score_gemma":0.0011938728,"threshold_uncertainty_score":0.014757335},"labels":[],"label_agreement":null},{"id":"W2058795621","doi":"10.1109/tcst.2014.2317781","title":"An Adaptive Unscented Kalman Filtering Approach for Online Estimation of Model Parameters and State-of-Charge of Lithium-Ion Batteries for Autonomous Mobile Robots","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Control Systems Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":297,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kalman filter; State of charge; Extended Kalman filter; Control theory (sociology); Fast Kalman filter; Invariant extended Kalman filter; Context (archaeology); Unscented transform; Computer science; Battery (electricity); Noise (video); Covariance; Alpha beta filter; Power (physics); Artificial intelligence; Mathematics; Moving horizon estimation; Statistics","score_opus":0.020816122598394576,"score_gpt":0.26650671220785827,"score_spread":0.2456905896094637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058795621","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028996207,0.0003259371,0.9959538,0.000033234515,0.000037179918,0.000012766795,0.000015005421,0.00024406695,0.0004784479],"genre_scores_gemma":[0.57007253,0.0021268628,0.42217425,0.00016024894,0.00017626629,0.00027831626,0.00034039526,0.00011075218,0.00456039],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996191,0.000065379914,0.000039931274,0.0000944979,0.00015144462,0.000029646511],"domain_scores_gemma":[0.9996815,0.00008948053,0.000050675586,0.000030352378,0.00013898246,0.000009053784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055100746,0.0007048811,0.0006719947,0.0005354783,0.00040654695,0.0006777146,0.00090407074,0.0007324625,0.0010080828],"category_scores_gemma":[0.0017578095,0.00037965228,0.00065110903,0.00056639314,0.0003149495,0.0010736985,0.00055459037,0.00087992684,0.00039488776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016417747,0.00007590133,0.0018409227,0.0004173305,0.00012885837,0.00018660197,0.0003375968,0.5032859,0.02645238,0.010165114,0.0023719084,0.45457333],"study_design_scores_gemma":[0.000009546307,0.000049632137,0.00038992934,0.000013638729,0.000020471678,0.000045452194,0.000017531573,0.9928243,0.0032739274,0.0014486106,0.0018890841,0.000017893388],"about_ca_topic_score_codex":0.009787794,"about_ca_topic_score_gemma":0.0074052704,"teacher_disagreement_score":0.009787794,"about_ca_system_score_codex":0.00044093357,"about_ca_system_score_gemma":0.0011427776,"threshold_uncertainty_score":0.019461632},"labels":[],"label_agreement":null},{"id":"W2059130789","doi":"10.1109/epe.2013.6632009","title":"Power management architecture for universal input Ac-Dc adapter support in battery powered applications","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adapter (computing); AC adapter; Battery (electricity); Voltage; Electrical engineering; Computer science; Power management; Power (physics); Battery charger; Architecture; Engineering; Embedded system; Switched-mode power supply; Physics","score_opus":0.00852976740482875,"score_gpt":0.23511460620879876,"score_spread":0.22658483880397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059130789","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15918954,0.00093265536,0.80032086,0.00036327422,0.00019776417,0.00032558103,0.00019666167,0.012497121,0.025976557],"genre_scores_gemma":[0.91996473,0.00034389173,0.066527836,0.0002266107,0.00010227722,0.00015755325,0.00022834665,0.00020780296,0.012240871],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998179,0.000020005777,0.000019198971,0.000040134517,0.00007783975,0.000024925814],"domain_scores_gemma":[0.99987376,0.00001316117,0.000012750246,0.000028376635,0.00006146897,0.000010392692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013448334,0.00037991005,0.00023045485,0.0004303897,0.00030113757,0.0006493398,0.0013244244,0.0002766441,0.0058939736],"category_scores_gemma":[0.00027543007,0.00015266232,0.00012405502,0.00034230895,0.00015574248,0.00086255267,0.00045721763,0.0003858127,0.0013426029],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036981693,0.00027555498,0.0020117082,0.0004365524,0.000053593132,0.0005869202,0.00053296983,0.0071276817,0.44665542,0.013344115,0.010555598,0.51804996],"study_design_scores_gemma":[0.00017335433,0.0009968012,0.0073689963,0.00014693153,0.00017315755,0.0026995442,0.00028925348,0.25030527,0.5821926,0.01191932,0.14363565,0.00009908935],"about_ca_topic_score_codex":0.00049263344,"about_ca_topic_score_gemma":0.0007272453,"teacher_disagreement_score":0.0058939736,"about_ca_system_score_codex":0.0002831997,"about_ca_system_score_gemma":0.00019603773,"threshold_uncertainty_score":0.019717336},"labels":[],"label_agreement":null},{"id":"W2060777840","doi":"10.4271/2014-01-1840","title":"Thermal Behavior of Two Commercial Li-Ion Batteries for Plug-in Hybrid Electric Vehicles","year":2014,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Plug-in; Spark plug; Materials science; Thermal; Automotive engineering; Ion; Electrical engineering; Optoelectronics; Nuclear engineering; Computer science; Aerospace engineering; Engineering; Chemistry; Physics; Operating system; Thermodynamics","score_opus":0.015292346546853767,"score_gpt":0.27600197623890643,"score_spread":0.2607096296920527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060777840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970607,0.00024195171,0.001211807,0.000042442327,0.000023421895,0.00001956801,0.0002916077,0.0000626943,0.0010457514],"genre_scores_gemma":[0.9976375,0.00010142683,0.0006915449,0.000018528024,0.000003964951,0.000026302283,0.00024514378,0.000017573342,0.0012580577],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997017,0.00004690335,0.00003224109,0.00006970806,0.0001059665,0.000043402673],"domain_scores_gemma":[0.99941134,0.00018270305,0.00004524655,0.000053176416,0.00027100617,0.00003646876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034868254,0.00040333215,0.0004063342,0.00039684388,0.00030557957,0.0005044552,0.0006500156,0.0005685144,0.0020144486],"category_scores_gemma":[0.0007958774,0.00014461465,0.00025902336,0.00041737506,0.00023157113,0.00054405816,0.00022974513,0.00018804219,0.00045083207],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046213144,0.00064461055,0.017257556,0.0006915784,0.00013169156,0.0005553259,0.00081173296,0.023349784,0.8683066,0.0005990583,0.0025983457,0.080432445],"study_design_scores_gemma":[0.000096885386,0.0050727893,0.031630687,0.000026681319,0.00012034905,0.00039831462,0.0008564803,0.055383675,0.90105224,0.00026512885,0.005004513,0.00009222862],"about_ca_topic_score_codex":0.0013484586,"about_ca_topic_score_gemma":0.0026656345,"teacher_disagreement_score":0.0020144486,"about_ca_system_score_codex":0.00055067195,"about_ca_system_score_gemma":0.00020047056,"threshold_uncertainty_score":0.0067390203},"labels":[],"label_agreement":null},{"id":"W2061960145","doi":"10.1109/tvt.2014.2376700","title":"Long-Trip Optimal Energy Planning With Online Mass Estimation for Battery Electric Vehicles","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Schedule; Automotive engineering; Duration (music); State of charge; Energy consumption; Engineering; Computer science; Simulation; Electrical engineering; Power (physics)","score_opus":0.020593072133581244,"score_gpt":0.26658311168962096,"score_spread":0.2459900395560397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061960145","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03334633,0.000782916,0.9613589,0.00018304464,0.000042849715,0.00009301889,0.00014335738,0.0004417449,0.003607816],"genre_scores_gemma":[0.9262941,0.0003599676,0.07011191,0.000060089824,0.000027597554,0.0002057326,0.00022655808,0.00009282766,0.0026212463],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976045,0.0000784233,0.00001253848,0.00004837384,0.000049417013,0.000050819854],"domain_scores_gemma":[0.99925584,0.0004968363,0.0000899605,0.000025619454,0.00009351897,0.00003820329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068851985,0.0013807347,0.0011415798,0.00083120813,0.00044107944,0.0008519475,0.0009479794,0.0008739741,0.002168799],"category_scores_gemma":[0.0018091653,0.0010490062,0.00066173216,0.0008219543,0.0005466059,0.0009129673,0.0007365033,0.0008724486,0.00026617115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025193034,0.000010066144,0.00011140861,0.000023333881,0.000008627833,0.0000236977,0.000011742,0.9934058,0.00023822178,0.000648719,0.00015573547,0.005337406],"study_design_scores_gemma":[0.0000035033272,0.000011851987,0.00005947701,0.0000031687557,0.0000033834322,0.0000031795923,0.000006803635,0.9986779,0.00010453025,0.0010004909,0.00012301812,0.000002620165],"about_ca_topic_score_codex":0.015901221,"about_ca_topic_score_gemma":0.015610656,"teacher_disagreement_score":0.015901221,"about_ca_system_score_codex":0.0009552526,"about_ca_system_score_gemma":0.0012609966,"threshold_uncertainty_score":0.031617284},"labels":[],"label_agreement":null},{"id":"W2062445356","doi":"10.1109/tie.2013.2257152","title":"A Comparative Study of Energy Management Schemes for a Fuel-Cell Hybrid Emergency Power System of More-Electric Aircraft","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":534,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Energy management; Test bench; Supercapacitor; Automotive engineering; State of charge; Decoupling (probability); Driving cycle; Engineering; Computer science; Power (physics); Control engineering; Electric vehicle; Energy (signal processing); Electrical engineering; Battery (electricity); Capacitance","score_opus":0.024872297710683767,"score_gpt":0.26798077012928845,"score_spread":0.24310847241860467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062445356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94000834,0.0014783109,0.047319733,0.00006050921,0.000028877777,0.000108098975,0.00011338144,0.0001789421,0.0107038105],"genre_scores_gemma":[0.995654,0.00021603085,0.0033656186,0.00000576219,0.0000043257514,0.000012467763,0.000049555772,0.000006516589,0.0006857005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987197,0.000035430196,0.000011032243,0.000016862381,0.00004872256,0.000015867714],"domain_scores_gemma":[0.9997857,0.00009222356,0.00002467547,0.000023766064,0.000064197266,0.0000093685385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031194265,0.00029887827,0.00041458893,0.000570723,0.00022866034,0.00032460943,0.00026185383,0.00018386888,0.0017743085],"category_scores_gemma":[0.00047456243,0.000062084946,0.00025147962,0.0003846049,0.000111924164,0.0004265865,0.00014772799,0.00014428546,0.000116892814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00256573,0.00046692623,0.009184375,0.0012685909,0.0002863526,0.00039438988,0.00030678624,0.48032627,0.12520295,0.0072419583,0.00089234055,0.3718633],"study_design_scores_gemma":[0.00017259015,0.005254797,0.043074053,0.0000722994,0.00034054916,0.00040060005,0.000465231,0.8395346,0.100837424,0.0019442029,0.007845572,0.00005811781],"about_ca_topic_score_codex":0.0008578778,"about_ca_topic_score_gemma":0.001138936,"teacher_disagreement_score":0.0017743085,"about_ca_system_score_codex":0.00028761264,"about_ca_system_score_gemma":0.00010558612,"threshold_uncertainty_score":0.005935669},"labels":[],"label_agreement":null},{"id":"W2064064963","doi":"10.1016/j.electacta.2014.01.022","title":"Effects of Diffusive Charge Transfer and Salt Concentration Gradient in Electrolyte on Li-ion Battery Energy and Power Densities","year":2014,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electrolyte; Battery (electricity); Lithium (medication); Ion; Range (aeronautics); Salt (chemistry); Power (physics); Power density; Energy storage; Chemistry; Work (physics); Materials science; Nuclear engineering; Electrode; Thermodynamics; Physics; Engineering; Composite material","score_opus":0.0026873430962480525,"score_gpt":0.1864624924798116,"score_spread":0.18377514938356354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064064963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979381,0.00049906893,0.0007009334,0.00007739552,0.00002071807,0.000005649353,0.000077024844,0.000031515152,0.0006496986],"genre_scores_gemma":[0.9991314,0.00022525711,0.00016033085,0.000019441066,0.0000036635367,0.000002832566,0.00002684938,0.0000060125412,0.0004241645],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998778,0.00001707935,0.000011716757,0.000029279647,0.000026780463,0.0000373674],"domain_scores_gemma":[0.9992933,0.00047919524,0.000056841487,0.000027848944,0.00008882897,0.000053954314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028621758,0.00023319987,0.00027152998,0.00017086252,0.0002447748,0.0006980431,0.00029845003,0.00035254293,0.0019458596],"category_scores_gemma":[0.0012524215,0.00022364143,0.00019663358,0.00017239164,0.00052838546,0.0008665621,0.00033289232,0.00039800798,0.00027966837],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035940323,0.00015398259,0.0028120195,0.00019644423,0.000028029028,0.00029590965,0.00016887169,0.006032177,0.97685504,0.0013344188,0.00019614039,0.008333002],"study_design_scores_gemma":[0.00006517308,0.0003156782,0.0033369067,0.000010876755,0.000038525643,0.000096363314,0.00013110923,0.016424665,0.97875607,0.00024436563,0.00055838417,0.000021913937],"about_ca_topic_score_codex":0.0016843284,"about_ca_topic_score_gemma":0.0013542778,"teacher_disagreement_score":0.0019458596,"about_ca_system_score_codex":0.0005839134,"about_ca_system_score_gemma":0.00047854878,"threshold_uncertainty_score":0.0065095425},"labels":[],"label_agreement":null},{"id":"W2065085088","doi":"10.1109/iecon.2010.5674964","title":"Modeling and simulation of a power-split gear hybrid drive-train","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Battery (electricity); Automotive engineering; Transient (computer programming); Controller (irrigation); Power (physics); Hybrid vehicle; Powertrain; State of charge; Power flow; Vehicle dynamics; Electric vehicle; Computer science; Engineering; Torque; Electric power system","score_opus":0.013327445936489686,"score_gpt":0.27502381633161027,"score_spread":0.26169637039512056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065085088","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37551823,0.00027151083,0.57846004,0.00038463634,0.000099116354,0.00023149763,0.0010711828,0.0013635787,0.042600136],"genre_scores_gemma":[0.9759243,0.00020464628,0.010625844,0.00003810223,0.000011123756,0.0002290258,0.0004123088,0.000063697116,0.012490911],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989974,0.000020139214,0.0000060227,0.000019564604,0.000036894846,0.000017492832],"domain_scores_gemma":[0.9999031,0.000038226794,0.000012558066,0.000008688429,0.000026114987,0.000011314268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014356236,0.00043487977,0.0005970806,0.00035015043,0.00038924505,0.0007421354,0.0011338681,0.0010080837,0.0048032724],"category_scores_gemma":[0.00034553095,0.00033802306,0.0005406634,0.00026546256,0.0003955339,0.0007918341,0.00047315584,0.00046790575,0.0006347864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027783191,0.000016222986,0.00036180535,0.0000223641,0.00001076289,0.00007681192,0.000029501896,0.9947733,0.0019099698,0.0012699823,0.00012123528,0.001380236],"study_design_scores_gemma":[0.000006990674,0.000014657464,0.00011427765,0.0000018803215,0.0000032988087,0.000012020013,0.000007968229,0.99875534,0.0003983844,0.00025168734,0.00043033215,0.0000030839344],"about_ca_topic_score_codex":0.0120352525,"about_ca_topic_score_gemma":0.005096962,"teacher_disagreement_score":0.0120352525,"about_ca_system_score_codex":0.0004923588,"about_ca_system_score_gemma":0.0006144365,"threshold_uncertainty_score":0.02393037},"labels":[],"label_agreement":null},{"id":"W2069229361","doi":"10.1109/isie.2014.6864614","title":"Power sharing for efficiency optimisation into a multi fuel cell system","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Centre de Recherche Industrielle du Québec","funders":"","keywords":"Modular design; Computer science; Controller (irrigation); Fuel cells; Power (physics); Work (physics); Electric power system; Control engineering; Reliability engineering; Engineering; Operating system; Mechanical engineering","score_opus":0.01518075460264605,"score_gpt":0.2609573238863321,"score_spread":0.24577656928368602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069229361","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18001121,0.0005431183,0.80914026,0.00014013685,0.000054880264,0.00007991491,0.000044130178,0.0005040654,0.009482175],"genre_scores_gemma":[0.9466615,0.000100867335,0.051400594,0.0000193065,0.000014288931,0.000032036547,0.00002195254,0.000049167815,0.0017003638],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986815,0.00002658711,0.0000064179508,0.000027985685,0.00005304266,0.000017724824],"domain_scores_gemma":[0.99989974,0.000039182738,0.000015303494,0.000015248297,0.00002174101,0.000008891285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002537148,0.00047312427,0.0004998623,0.00024346696,0.0003056842,0.00043713686,0.00064969546,0.00029349147,0.002307637],"category_scores_gemma":[0.0003589027,0.00015660291,0.000265863,0.0003127893,0.00021975048,0.00059470773,0.00049532106,0.00046920945,0.00026360678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024936933,0.00015453776,0.00061399076,0.00011878769,0.00004359507,0.0001327067,0.000068626556,0.7997392,0.06467111,0.007682281,0.0004130497,0.12611271],"study_design_scores_gemma":[0.000015346914,0.00010438668,0.0001938008,0.0000047250437,0.000009062386,0.000025361345,0.0000066990356,0.98476934,0.011899208,0.0018892067,0.0010780016,0.000004907171],"about_ca_topic_score_codex":0.0007754545,"about_ca_topic_score_gemma":0.0008733257,"teacher_disagreement_score":0.002307637,"about_ca_system_score_codex":0.0003187128,"about_ca_system_score_gemma":0.0002630371,"threshold_uncertainty_score":0.007719755},"labels":[],"label_agreement":null},{"id":"W2069942039","doi":"10.1109/tsg.2013.2264489","title":"Digital Control of a Bidirectional DC/DC Switched Capacitor Converter for Hybrid Electric Vehicle Energy Storage System Applications","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Buck converter; Capacitor; Energy storage; Ripple; Switched capacitor; Buck–boost converter; Boost converter; Electrical engineering; Regenerative brake; Controller (irrigation); Computer science; Engineering; Voltage; Electronic engineering; Control theory (sociology); Power (physics); Automotive engineering; Physics","score_opus":0.00829609442865083,"score_gpt":0.20759363704554307,"score_spread":0.19929754261689223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069942039","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10296986,0.0011588734,0.85172266,0.00036543832,0.0003290468,0.00023435833,0.0001825961,0.0018236254,0.041213576],"genre_scores_gemma":[0.9831375,0.00025626415,0.013414744,0.000059268797,0.000029304669,0.000059234786,0.000033891916,0.00002427145,0.0029854754],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999908,0.000009314865,0.0000046296373,0.000016829794,0.000049797647,0.000011346978],"domain_scores_gemma":[0.9999107,0.000021107015,0.000008736837,0.000008913423,0.000044502725,0.000006136133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013404549,0.00030705758,0.00018883076,0.00022728811,0.00033595975,0.00083377596,0.0004758768,0.00023626238,0.0028989909],"category_scores_gemma":[0.00020573143,0.00009881265,0.00015957699,0.00020548675,0.00017242796,0.00019976436,0.00015167668,0.0003690576,0.0004120645],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007328809,0.00032771085,0.0012691846,0.000800267,0.000119465185,0.00046650675,0.000310711,0.102794364,0.42110807,0.024483476,0.006094718,0.44149262],"study_design_scores_gemma":[0.00012380721,0.0005978645,0.0014966424,0.00007241073,0.000095269024,0.0004241002,0.00011106287,0.85439914,0.11572563,0.0043921047,0.022525694,0.0000362953],"about_ca_topic_score_codex":0.0015826736,"about_ca_topic_score_gemma":0.0030607386,"teacher_disagreement_score":0.0028989909,"about_ca_system_score_codex":0.00028846093,"about_ca_system_score_gemma":0.00039545924,"threshold_uncertainty_score":0.009698093},"labels":[],"label_agreement":null},{"id":"W2071120297","doi":"10.1109/vppc.2010.5729134","title":"Plug-in hybrid electric vehicle charging: Current issues and future challenges","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Battery (electricity); Constant current; Electric vehicle; Plug-in; Automotive engineering; Voltage; Electrical engineering; Trickle charging; Constant voltage; Voltage drop; Computer science; Current (fluid); Engineering; Power (physics); Physics","score_opus":0.015772632057126812,"score_gpt":0.27846115804245897,"score_spread":0.26268852598533216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071120297","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010438777,0.8588707,0.04303257,0.054925807,0.003138071,0.000075537515,0.00013122929,0.00039815326,0.028989177],"genre_scores_gemma":[0.11973863,0.8192922,0.025438268,0.0062802895,0.007268306,0.00016828538,0.00028726566,0.000089239584,0.021437507],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99903154,0.00022233793,0.00010221873,0.00011794007,0.00044176713,0.00008424296],"domain_scores_gemma":[0.99663734,0.0014426383,0.0001919303,0.00009969214,0.0014236278,0.00020469216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037428413,0.00053244166,0.0011188325,0.000839076,0.0009264559,0.0036167814,0.002196604,0.0053786,0.007871328],"category_scores_gemma":[0.0025040633,0.00040617408,0.0005633987,0.001746712,0.0013002655,0.008051664,0.0011195095,0.0016846459,0.0030606787],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030664072,0.00027279873,0.0014496379,0.005508272,0.000055667682,0.00055389694,0.00033840752,0.008037003,0.003850924,0.042394947,0.028201967,0.9090298],"study_design_scores_gemma":[0.00008412351,0.0010624132,0.0022821226,0.003631946,0.00013299163,0.0038185043,0.004739994,0.03004257,0.006553164,0.10171008,0.8457375,0.00020459497],"about_ca_topic_score_codex":0.0008098832,"about_ca_topic_score_gemma":0.0012898165,"teacher_disagreement_score":0.007871328,"about_ca_system_score_codex":0.00081392133,"about_ca_system_score_gemma":0.0013778862,"threshold_uncertainty_score":0.0263322},"labels":[],"label_agreement":null},{"id":"W2071267665","doi":"10.1002/aic.14183","title":"Boundary control synthesis for a lithium‐ion battery thermal regulation problem","year":2013,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Control theory (sociology); Boundary (topology); Controller (irrigation); Battery (electricity); Partial differential equation; Boundary value problem; Computer science; Mathematics; Mathematical analysis; Physics; Control (management); Thermodynamics","score_opus":0.01149281869105247,"score_gpt":0.2364226752297447,"score_spread":0.2249298565386922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071267665","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032232285,0.0006766477,0.946023,0.00052062154,0.00010218045,0.00011913805,0.000081670725,0.00020430778,0.020040134],"genre_scores_gemma":[0.9316881,0.00058843393,0.059103232,0.00012167121,0.000053109772,0.00040870914,0.00017156164,0.00008139155,0.007783924],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968636,0.00008441532,0.000016449838,0.00008757953,0.00008073184,0.000044482855],"domain_scores_gemma":[0.99909997,0.00058061484,0.000095414085,0.000030805546,0.00015560056,0.00003765624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001031912,0.0011046934,0.0010484197,0.0005070961,0.00048914325,0.0018779954,0.0006945768,0.001529768,0.0048330002],"category_scores_gemma":[0.0023949847,0.000492756,0.0006616218,0.00029050547,0.001106203,0.0008962046,0.001454662,0.0012004382,0.00041679692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008760142,0.000048124504,0.0002204016,0.00024567396,0.000017114116,0.00018161356,0.00019308325,0.9444328,0.0066884775,0.031747673,0.0010509179,0.015086486],"study_design_scores_gemma":[0.000020260783,0.00004379122,0.00005696721,0.000018254288,0.000005961706,0.00001053288,0.000030036706,0.9927209,0.0009547936,0.0054502618,0.0006813831,0.0000068396153],"about_ca_topic_score_codex":0.0048851785,"about_ca_topic_score_gemma":0.0020553959,"teacher_disagreement_score":0.0048851785,"about_ca_system_score_codex":0.00096243166,"about_ca_system_score_gemma":0.0010979024,"threshold_uncertainty_score":0.016168058},"labels":[],"label_agreement":null},{"id":"W2073806460","doi":"10.1016/j.jpowsour.2005.07.019","title":"State-of-charge determination of lead-acid batteries using wire-wound coils","year":2005,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Lead–acid battery; Inductance; Electromagnetic coil; Materials science; Current (fluid); Voltage drop; Electrical engineering; Lead (geology); Voltage; Composite material; Nuclear engineering; Engineering; Power (physics); Physics; Battery (electricity)","score_opus":0.02012614820897653,"score_gpt":0.2835339614087063,"score_spread":0.2634078131997298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073806460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9488797,0.0015260271,0.044451393,0.00012895126,0.00011602853,0.00004314691,0.00017730176,0.00022425764,0.0044531617],"genre_scores_gemma":[0.995577,0.00030347757,0.003187213,0.000019734814,0.000012333299,0.000010925728,0.000058597532,0.0000101876785,0.0008205265],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971706,0.000089139365,0.000013621851,0.000045189874,0.00010590802,0.000029047285],"domain_scores_gemma":[0.9996327,0.00014823655,0.00003943003,0.00003037383,0.00012759269,0.000021599219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032015998,0.0003011574,0.0002869698,0.00048269532,0.00026891887,0.00050908735,0.00044461832,0.00048954505,0.0006955052],"category_scores_gemma":[0.00075058715,0.00018954511,0.0001493178,0.0004697897,0.00032458096,0.0006171462,0.00024756216,0.00027620792,0.00034345925],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013068533,0.00008044858,0.011623528,0.0003000992,0.000059711085,0.00030808226,0.0005089843,0.0013532242,0.9486423,0.0013328696,0.0006631118,0.03382072],"study_design_scores_gemma":[0.000026534573,0.000392564,0.006665999,0.000016715112,0.00005425037,0.00039837082,0.00018073767,0.015034193,0.9744082,0.0006520834,0.0021495507,0.000020864718],"about_ca_topic_score_codex":0.00024052315,"about_ca_topic_score_gemma":0.00046253964,"teacher_disagreement_score":0.0006955052,"about_ca_system_score_codex":0.00018894495,"about_ca_system_score_gemma":0.00013020962,"threshold_uncertainty_score":0.0023266673},"labels":[],"label_agreement":null},{"id":"W2074289163","doi":"10.1149/1.1872737","title":"Transport Properties of LiPF[sub 6]-Based Li-Ion Battery Electrolytes","year":2005,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":921,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"E-One Moli Energy (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrolyte; Ethylene carbonate; Propylene carbonate; Diffusion; Conductivity; Battery (electricity); Salt (chemistry); Chemistry; Ion; Inorganic chemistry; Materials science; Thermodynamics; Analytical Chemistry (journal); Electrode; Chromatography; Physical chemistry; Organic chemistry","score_opus":0.008847027608860063,"score_gpt":0.21226264810002873,"score_spread":0.20341562049116868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074289163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99457705,0.001955326,0.0016572147,0.000059852406,0.000028533012,0.000015823263,0.00034034692,0.000055947778,0.0013098344],"genre_scores_gemma":[0.9937543,0.0015544523,0.0017936772,0.0000381881,0.000008466758,0.000029846276,0.0007636902,0.00002149234,0.0020359848],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998598,0.000019583686,0.000015392447,0.00002357225,0.00005181349,0.000029809484],"domain_scores_gemma":[0.9997476,0.00007192983,0.000038460712,0.000011137613,0.00011328114,0.000017513054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035486592,0.00029515685,0.00025132502,0.00047359872,0.00025899103,0.00056138134,0.0004500186,0.00045667513,0.0011312029],"category_scores_gemma":[0.0011053861,0.00012307166,0.00016090536,0.0003870785,0.00021333966,0.0007356384,0.00018928539,0.00025570783,0.00045680575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034351627,0.000038014558,0.00070049625,0.00016253648,0.000012470562,0.00014216542,0.00012335571,0.0013173675,0.99012744,0.0007718112,0.00027028448,0.005990519],"study_design_scores_gemma":[0.000016951893,0.000240294,0.0013851933,0.00003311868,0.000019995654,0.00011637536,0.00007284209,0.0075953673,0.98798347,0.00015531348,0.0023488582,0.000032180305],"about_ca_topic_score_codex":0.001691912,"about_ca_topic_score_gemma":0.0010382042,"teacher_disagreement_score":0.001691912,"about_ca_system_score_codex":0.00048205067,"about_ca_system_score_gemma":0.00023412489,"threshold_uncertainty_score":0.0037842393},"labels":[],"label_agreement":null},{"id":"W2074965101","doi":"10.1149/1.2981938","title":"Current Mapping of a Diagnostic Modeling Cell","year":2008,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Current (fluid); Thermocouple; Mechanics; Adiabatic process; Work (physics); Distribution (mathematics); Anode; Flow (mathematics); Voltage; Materials science; Field (mathematics); Computational physics; Thermodynamics; Physics; Electrode; Mathematics; Electrical engineering; Mathematical analysis; Engineering; Composite material","score_opus":0.036880995369724445,"score_gpt":0.255414190695578,"score_spread":0.21853319532585358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074965101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7306121,0.00063601887,0.2592915,0.00027237664,0.00018433722,0.00016762612,0.00047374866,0.0028694822,0.0054929107],"genre_scores_gemma":[0.96002936,0.00012194843,0.037786566,0.00006916974,0.000021114598,0.000074174415,0.00016741433,0.00010936496,0.0016208885],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996855,0.000028190698,0.000012356472,0.000099631885,0.00013625392,0.000038071943],"domain_scores_gemma":[0.9993074,0.00020406173,0.00008388488,0.00015333373,0.00021296485,0.00003836635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038409667,0.000508637,0.0006182068,0.00048156068,0.00040085212,0.0007739356,0.0012756955,0.00052252854,0.002561548],"category_scores_gemma":[0.0014266431,0.00026165938,0.00021639174,0.00036840836,0.00035477406,0.0010766166,0.00041353487,0.00057787605,0.0005579176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003747317,0.00007998901,0.0021227587,0.00012390286,0.000008924436,0.00024381488,0.00023316134,0.0051361797,0.9616091,0.0015119606,0.0005427451,0.028012581],"study_design_scores_gemma":[0.000017168511,0.00027935754,0.0017528066,0.000008759759,0.000020620379,0.0002737777,0.00007220511,0.038758002,0.95404625,0.00041138864,0.0043365215,0.00002323746],"about_ca_topic_score_codex":0.0006559451,"about_ca_topic_score_gemma":0.00046296156,"teacher_disagreement_score":0.002561548,"about_ca_system_score_codex":0.0006986491,"about_ca_system_score_gemma":0.000509347,"threshold_uncertainty_score":0.008569181},"labels":[],"label_agreement":null},{"id":"W2075143718","doi":"10.1007/s00521-013-1520-x","title":"Lithium-ion battery remaining useful life estimation based on fusion nonlinear degradation AR model and RPF algorithm","year":2013,"lang":"en","type":"article","venue":"Neural Computing and Applications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":222,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Battery (electricity); Particle filter; Computer science; Nonlinear system; Autoregressive model; Lithium-ion battery; Charge cycle; Algorithm; Degradation (telecommunications); Nonlinear autoregressive exogenous model; Lithium (medication); Filter (signal processing); Artificial neural network; Artificial intelligence; Mathematics; Statistics; Power (physics)","score_opus":0.021583275709915816,"score_gpt":0.26938628801533515,"score_spread":0.24780301230541935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075143718","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.067541726,0.0005657748,0.92938864,0.000118013035,0.000044929388,0.00002689658,0.000079237536,0.00063256174,0.0016022972],"genre_scores_gemma":[0.91569513,0.0003488452,0.08145801,0.000046923116,0.00003473336,0.000049417544,0.0002490342,0.00004927486,0.0020686646],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985564,0.00002309692,0.000009826971,0.00004866785,0.00004589312,0.000016885664],"domain_scores_gemma":[0.9997578,0.00008254551,0.000033487046,0.000024995441,0.00009478514,0.0000064039637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038974782,0.00053118606,0.00073978584,0.00043000313,0.0002812524,0.0004826638,0.0005170329,0.0005799449,0.0005808915],"category_scores_gemma":[0.0010910284,0.00017821215,0.00054087624,0.00042088729,0.00020823065,0.0010475228,0.00026845827,0.0005431626,0.00032851662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001923925,0.000081716295,0.0035561316,0.00011410429,0.00006200874,0.00008982726,0.000087724155,0.6903381,0.017041547,0.0014419678,0.0012808449,0.28571373],"study_design_scores_gemma":[0.0000022879813,0.000011479425,0.0005362561,0.0000023126497,0.000005438499,0.000020684534,0.000003856201,0.997809,0.0012032934,0.00027169439,0.00012891024,0.000004671369],"about_ca_topic_score_codex":0.004221561,"about_ca_topic_score_gemma":0.0030734215,"teacher_disagreement_score":0.004221561,"about_ca_system_score_codex":0.00029939046,"about_ca_system_score_gemma":0.00041081465,"threshold_uncertainty_score":0.008393943},"labels":[],"label_agreement":null},{"id":"W2076936975","doi":"10.1016/j.jpowsour.2014.12.109","title":"Experimental and mathematical studies on cycle life of rechargeable hybrid aqueous batteries","year":2015,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Battery (electricity); Anode; Cathode; Particle filter; Aqueous solution; Materials science; Electrolyte; Filter (signal processing); Particle (ecology); Computer science; FOIL method; Nonlinear system; Engineering; Chemistry; Electrical engineering; Electrode; Composite material; Physics; Thermodynamics; Power (physics)","score_opus":0.0423906957140429,"score_gpt":0.3118565449495655,"score_spread":0.2694658492355226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076936975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9669671,0.0018243466,0.017224338,0.00027798561,0.000051020637,0.000037291524,0.00057952874,0.000082637234,0.01295571],"genre_scores_gemma":[0.9972697,0.00030906594,0.001042152,0.000013104153,0.000009608255,0.000013707599,0.00014642815,0.000009621588,0.0011865812],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998318,0.000028881946,0.000013703265,0.000030976822,0.000065708395,0.000028953373],"domain_scores_gemma":[0.99895453,0.00064032874,0.00007948408,0.000091345435,0.00022083083,0.000013605025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005733228,0.0002618583,0.00025215812,0.0005825737,0.00035706218,0.00042844916,0.00060882984,0.00037938566,0.0033502358],"category_scores_gemma":[0.0027321281,0.00011756508,0.00033180616,0.0004397258,0.00046118075,0.0010544463,0.00027120503,0.0003991625,0.00020547304],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013687601,0.00068493537,0.00912977,0.0015836974,0.00007214906,0.00080936577,0.000753273,0.36168295,0.41680092,0.15181157,0.0020088968,0.05329376],"study_design_scores_gemma":[0.000036541835,0.00041274243,0.003741807,0.00005025542,0.00003009211,0.0002639119,0.0003020146,0.74154663,0.22740635,0.022568373,0.003597915,0.00004332119],"about_ca_topic_score_codex":0.0008845276,"about_ca_topic_score_gemma":0.0005887684,"teacher_disagreement_score":0.0033502358,"about_ca_system_score_codex":0.0005082701,"about_ca_system_score_gemma":0.00026850664,"threshold_uncertainty_score":0.01120764},"labels":[],"label_agreement":null},{"id":"W2077352850","doi":"10.1149/2.005302jes","title":"Study of Electrolyte Additives Using Electrochemical Impedance Spectroscopy on Symmetric Cells","year":2012,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":151,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Dielectric spectroscopy; Electrolyte; Electrochemistry; Electrical impedance; Materials science; Analytical Chemistry (journal); Spectroscopy; Chemistry; Electrode; Physical chemistry; Physics; Electrical engineering; Chromatography; Engineering","score_opus":0.014618330956153893,"score_gpt":0.28088233651499106,"score_spread":0.26626400555883717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077352850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921761,0.0009143365,0.0050972654,0.000076575074,0.000049979262,0.000026524505,0.00016392634,0.000053023443,0.0014422341],"genre_scores_gemma":[0.99496514,0.00073699036,0.002358775,0.00003385879,0.000021948385,0.000012585797,0.00013062934,0.000014700836,0.0017253521],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996569,0.0000407877,0.000025758456,0.000060599526,0.00017248206,0.000043466836],"domain_scores_gemma":[0.99941325,0.00018122524,0.000062022365,0.000067197,0.0002533631,0.000022912196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026561267,0.0002938568,0.0004103266,0.00032550347,0.00028271222,0.0006083055,0.0006821319,0.0005138159,0.0017647721],"category_scores_gemma":[0.0007746565,0.00017212161,0.00022127034,0.00048766556,0.000283849,0.00069730805,0.00028751558,0.0005449121,0.00032461065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019369536,0.00006158676,0.00025321083,0.000058912734,0.000008579281,0.000053400458,0.000046760117,0.00019672912,0.9941645,0.00020999584,0.000045875157,0.0047068517],"study_design_scores_gemma":[0.000003974116,0.000103289414,0.00050952757,0.0000035964972,0.000009688915,0.000023495693,0.000027642087,0.002174233,0.99645007,0.00002793692,0.00066424353,0.00000232169],"about_ca_topic_score_codex":0.0008446247,"about_ca_topic_score_gemma":0.0011371662,"teacher_disagreement_score":0.0017647721,"about_ca_system_score_codex":0.00026890863,"about_ca_system_score_gemma":0.00023167604,"threshold_uncertainty_score":0.0059037805},"labels":[],"label_agreement":null},{"id":"W2077572763","doi":"10.4271/2011-01-1371","title":"Mathematical Modeling and Symbolic Sensitivity Analysis of Ni-MH Batteries","year":2011,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sensitivity (control systems); Computer science; Symbolic data analysis; Theoretical computer science; Engineering; Electronic engineering","score_opus":0.024954666007681557,"score_gpt":0.2610347953732513,"score_spread":0.23608012936556974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077572763","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11875878,0.001832822,0.8090814,0.0012088079,0.00009059094,0.00015951085,0.0004270405,0.0004712859,0.06796978],"genre_scores_gemma":[0.9776953,0.00063869596,0.011054606,0.00006631612,0.00003368984,0.00015177263,0.00011579079,0.000042186708,0.01020171],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970216,0.00011267178,0.00001327105,0.00003113094,0.00011182333,0.000028963204],"domain_scores_gemma":[0.9992138,0.00054530374,0.000089718626,0.000036082492,0.00010300554,0.0000119954975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007218537,0.0007278434,0.00059025537,0.0009590093,0.00041438977,0.0012096893,0.00072897517,0.00085685984,0.0027191823],"category_scores_gemma":[0.0026611672,0.0002753836,0.00069335033,0.00046127813,0.0010331819,0.0006964719,0.0009453627,0.000718574,0.00025301593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019130783,0.000011515403,0.00019612389,0.000044908556,0.000011490479,0.000070076596,0.000058295955,0.9726883,0.0012834911,0.023073517,0.00017394614,0.002369236],"study_design_scores_gemma":[0.0000016950111,0.0000057015286,0.00005758593,0.000004031281,0.0000024909086,0.000009411095,0.0000095654805,0.9935034,0.00021886389,0.005913246,0.00027061673,0.0000034284928],"about_ca_topic_score_codex":0.0043932227,"about_ca_topic_score_gemma":0.0014814368,"teacher_disagreement_score":0.0043932227,"about_ca_system_score_codex":0.0010792963,"about_ca_system_score_gemma":0.00050762034,"threshold_uncertainty_score":0.0090966225},"labels":[],"label_agreement":null},{"id":"W2078828496","doi":"10.1016/j.ijthermalsci.2014.11.018","title":"Study on the thermal behaviors of power lithium iron phosphate (LFP) aluminum-laminated battery with different tab configurations","year":2014,"lang":"en","type":"article","venue":"International Journal of Thermal Sciences","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"China Postdoctoral Science Foundation; Central South University; Ryerson University; National Natural Science Foundation of China; U.S. Department of Defense","keywords":"Battery (electricity); Exothermic reaction; Heat generation; Materials science; Lithium iron phosphate; Endothermic process; Internal resistance; Thermal; Lithium (medication); Thermodynamics; Power (physics); Nuclear engineering; Mechanics; Chemistry; Adsorption; Physics; Engineering","score_opus":0.019616508893180024,"score_gpt":0.2866886228586737,"score_spread":0.2670721139654937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078828496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959792,0.0004811307,0.0013860959,0.000040789928,0.000025786308,0.000009850361,0.00019635729,0.000056053854,0.0018247291],"genre_scores_gemma":[0.99844164,0.0001333707,0.0002721079,0.000009893379,0.0000043114674,0.00000907774,0.00010749444,0.000014309018,0.0010078575],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985826,0.000011425877,0.0000073870838,0.00003224614,0.000058675065,0.00003201931],"domain_scores_gemma":[0.99974865,0.000049594135,0.000024569967,0.00002356401,0.00013941807,0.000014197391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013819226,0.00025500084,0.00029992213,0.00027867797,0.0003387641,0.00031994915,0.0003432349,0.00028218146,0.0027856592],"category_scores_gemma":[0.00044750972,0.00013556007,0.00028062484,0.0004359307,0.0002467546,0.0007706695,0.00015067354,0.0002703139,0.00033844064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013026263,0.00008666528,0.0058819666,0.0006758371,0.00004915195,0.0005697565,0.0005243552,0.006426198,0.9568432,0.00058162404,0.0011484612,0.025910247],"study_design_scores_gemma":[0.000035560755,0.0010204791,0.028225891,0.000049260794,0.00009450097,0.0005946952,0.0010531442,0.02860606,0.9352516,0.00041306214,0.004612559,0.00004320871],"about_ca_topic_score_codex":0.00072366826,"about_ca_topic_score_gemma":0.001594464,"teacher_disagreement_score":0.0027856592,"about_ca_system_score_codex":0.0002181601,"about_ca_system_score_gemma":0.00015528293,"threshold_uncertainty_score":0.009318948},"labels":[],"label_agreement":null},{"id":"W2079247018","doi":"10.1016/j.jpowsour.2014.10.011","title":"Optimal economy-based battery degradation management dynamics for fuel-cell plug-in hybrid electric vehicles","year":2014,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Université du Québec à Trois-Rivières","keywords":"Battery (electricity); Energy management; Degradation (telecommunications); Dynamic programming; Process (computing); Automotive engineering; Computer science; Fuel cells; Lead–acid battery; Energy storage; Hybrid vehicle; Electric vehicle; Engineering; Energy (signal processing); Power (physics)","score_opus":0.006494056355102829,"score_gpt":0.2197810671855417,"score_spread":0.21328701083043886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079247018","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48087528,0.0012272259,0.48202673,0.001985959,0.0001540195,0.00013166525,0.00026987318,0.00028375568,0.03304546],"genre_scores_gemma":[0.9969754,0.00008863586,0.0013447753,0.000027936885,0.0000071939767,0.000016594211,0.000026397318,0.0000103980465,0.001502641],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989736,0.000029673633,0.000004208042,0.000017252067,0.000022039692,0.000029432238],"domain_scores_gemma":[0.99965096,0.00017878016,0.000041065356,0.000010262374,0.0000950499,0.00002380405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005346712,0.00053744,0.00072236574,0.00035521487,0.0004651299,0.0011213965,0.00047691393,0.000822881,0.002274616],"category_scores_gemma":[0.0016449953,0.0003579096,0.0003708558,0.00020324608,0.0005680854,0.0007452112,0.0008306563,0.0006568775,0.00019404323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006493187,0.000026922611,0.0004167707,0.00002698806,0.000013440212,0.000039385763,0.000035428686,0.99214315,0.0009031502,0.0025580479,0.00034945688,0.0034222747],"study_design_scores_gemma":[0.0000031529746,0.000009544597,0.00012831164,0.000002880497,0.000002366413,0.0000033592507,0.000011526396,0.99892265,0.00011169289,0.00073395926,0.00006846695,0.000002044106],"about_ca_topic_score_codex":0.010498152,"about_ca_topic_score_gemma":0.007064872,"teacher_disagreement_score":0.010498152,"about_ca_system_score_codex":0.0007654856,"about_ca_system_score_gemma":0.0007520287,"threshold_uncertainty_score":0.020874143},"labels":[],"label_agreement":null},{"id":"W2079848684","doi":"10.1109/itec.2013.6574493","title":"Multiple input integrated DC/DC converters and supervisery control for fuel cell/battery/ultracapacitor electric vehicle","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Converters; Supercapacitor; Battery (electricity); Electric vehicle; Electrical engineering; Power density; Transformer; Forward converter; Boost converter; Ćuk converter; Power (physics); Topology (electrical circuits); Computer science; Voltage; Electronic engineering; Automotive engineering; Engineering; Capacitance; Physics; Electrode","score_opus":0.009617967425339142,"score_gpt":0.20985266784587212,"score_spread":0.20023470042053299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079848684","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08511344,0.0019936329,0.8884068,0.00019468812,0.00028764067,0.00011919038,0.000052669795,0.0013467384,0.022485157],"genre_scores_gemma":[0.9355137,0.00056424714,0.054261293,0.000085329884,0.000068918765,0.00004529779,0.00004937488,0.000027524198,0.009384345],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986017,0.000012401856,0.000009149799,0.000031634027,0.00007330489,0.000013349798],"domain_scores_gemma":[0.99993515,0.0000067227625,0.0000062310137,0.0000063571338,0.000040385807,0.000005123439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013503512,0.00029029476,0.00021522914,0.00022615603,0.00022283196,0.0005751786,0.0006331985,0.00021477733,0.001934587],"category_scores_gemma":[0.00011803496,0.00014791559,0.00015334495,0.00023469995,0.00016533324,0.00036289386,0.00020710992,0.00056242006,0.00036590768],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004944159,0.0002902938,0.0015945942,0.0005140699,0.000075590026,0.00062085956,0.00021901472,0.040043715,0.32421696,0.02100463,0.0035897007,0.6073361],"study_design_scores_gemma":[0.00017972411,0.0011190298,0.002817838,0.00011682887,0.00013338498,0.0012276766,0.00016003725,0.6553776,0.27881518,0.0071567665,0.052822974,0.00007296873],"about_ca_topic_score_codex":0.00091027765,"about_ca_topic_score_gemma":0.0018466278,"teacher_disagreement_score":0.001934587,"about_ca_system_score_codex":0.00021397302,"about_ca_system_score_gemma":0.00028862298,"threshold_uncertainty_score":0.0064718127},"labels":[],"label_agreement":null},{"id":"W2081379666","doi":"10.1109/tpel.2011.2170098","title":"A New Control Approach Based on the Differential Flatness Theory for an AC/DC Converter Used in Electric Vehicles","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Control theory (sociology); Forward converter; Flyback converter; Voltage regulation; Boost converter; Engineering; Ćuk converter; Pre-charge; Charge pump; Voltage; Computer science; Electrical engineering; Voltage optimisation; Capacitor","score_opus":0.020932736392013915,"score_gpt":0.23874295589334663,"score_spread":0.21781021950133272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081379666","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0054055764,0.00021880832,0.9892157,0.00007289483,0.00014245369,0.00007612427,0.000011346489,0.00034474878,0.0045123994],"genre_scores_gemma":[0.7998004,0.0005515849,0.18712562,0.00031522344,0.00019590277,0.00025113954,0.000068190115,0.000044125587,0.011647884],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997814,0.00002101291,0.000013992836,0.000062107676,0.00010587414,0.000015707159],"domain_scores_gemma":[0.99988794,0.000019080715,0.000013100372,0.000011108804,0.00006251794,0.000006317044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002480115,0.00055435754,0.0003145264,0.00038420508,0.00025534752,0.0006679931,0.00079359376,0.00041240576,0.001245097],"category_scores_gemma":[0.0002851991,0.00014963394,0.00036156265,0.00025133387,0.0004260996,0.00037400343,0.0002675976,0.0006158016,0.00029760387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015424573,0.00024491287,0.0005948844,0.00049702986,0.00010330297,0.00045608715,0.00035295685,0.16641183,0.2392961,0.06109735,0.004293666,0.52649766],"study_design_scores_gemma":[0.00005941574,0.00067227054,0.0007021275,0.000029888763,0.00005364116,0.00026158636,0.000031083397,0.9457098,0.030017698,0.004559464,0.01785633,0.00004667052],"about_ca_topic_score_codex":0.0016632836,"about_ca_topic_score_gemma":0.0017726109,"teacher_disagreement_score":0.0016632836,"about_ca_system_score_codex":0.0003620956,"about_ca_system_score_gemma":0.00041359654,"threshold_uncertainty_score":0.004165292},"labels":[],"label_agreement":null},{"id":"W2081512400","doi":"10.1002/cjce.20641","title":"Charge density in non‐isotropic electrolytes conducting current","year":2011,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"University of Saskatchewan","keywords":"Electrolyte; Isotropy; Current density; Electric field; Current (fluid); Ion; Lithium (medication); Electrochemistry; Materials science; Potential gradient; Charge density; Electric potential; Electric current; Condensed matter physics; Mechanics; Chemical physics; Chemistry; Thermodynamics; Physics; Voltage; Electrical engineering; Optics; Electrode; Engineering; Physical chemistry","score_opus":0.030879728013062335,"score_gpt":0.22928561025719232,"score_spread":0.19840588224413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081512400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7704524,0.0015573028,0.18129173,0.0006276101,0.00017056394,0.00015108823,0.00018449819,0.00050780404,0.045057025],"genre_scores_gemma":[0.99209607,0.00041882315,0.0038893404,0.00006407571,0.000022223247,0.000035197932,0.000047681788,0.000016433316,0.0034100697],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981254,0.000024953579,0.000007382464,0.00003187143,0.00008544544,0.000037816477],"domain_scores_gemma":[0.999622,0.00014832658,0.00005586937,0.00004095118,0.00010345567,0.000029352972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034771854,0.0003399231,0.0004847837,0.0005277875,0.0004038933,0.0008183035,0.0008546261,0.0008144171,0.001057699],"category_scores_gemma":[0.0019148363,0.0003149258,0.00033407117,0.00031938075,0.00081396825,0.0007765386,0.00038174854,0.00042941966,0.00028304235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001519018,0.00021124056,0.0026730793,0.00014784145,0.000026115682,0.00088469253,0.00019759312,0.8169208,0.06798453,0.097290106,0.0010547318,0.012457314],"study_design_scores_gemma":[0.00003365693,0.00004955554,0.00063095073,0.000009082116,0.00000628671,0.00007516823,0.000023890316,0.984843,0.0073080873,0.006500257,0.00050743704,0.0000126329205],"about_ca_topic_score_codex":0.0056975647,"about_ca_topic_score_gemma":0.0020906974,"teacher_disagreement_score":0.0056975647,"about_ca_system_score_codex":0.0007818241,"about_ca_system_score_gemma":0.00080267154,"threshold_uncertainty_score":0.011328816},"labels":[],"label_agreement":null},{"id":"W2082370111","doi":"10.1109/isie.2013.6563721","title":"Impacts of blended mode and charge-sustaining mode on the battery efficiency for a serial FC-PHEV","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); State of charge; Mode (computer interface); Automotive engineering; Power (physics); Battery pack; Propulsion; Electrical engineering; Energy storage; Fuel cells; Electric vehicle; Computer science; Trickle charging; Engineering; Physics; Aerospace engineering","score_opus":0.017998168712440154,"score_gpt":0.2778623448068147,"score_spread":0.25986417609437457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082370111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98720646,0.00015382424,0.009257819,0.000028996283,0.00001270514,0.000017899632,0.00006583829,0.00006954182,0.0031868399],"genre_scores_gemma":[0.9991804,0.00003319383,0.00040689102,0.000003699134,0.0000013983536,0.0000033700082,0.000023820727,0.000004956762,0.0003422184],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998454,0.000021382994,0.000012708211,0.000026718066,0.000051304185,0.000042456228],"domain_scores_gemma":[0.99963236,0.00015307948,0.000035091995,0.00003819771,0.00012223305,0.000018995579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030259122,0.00041409538,0.0003783689,0.00039036843,0.00032981017,0.00061836856,0.00043344346,0.0003685373,0.0019386089],"category_scores_gemma":[0.0007908236,0.00013897059,0.00033676653,0.00027908213,0.00023780188,0.0008074867,0.00036192304,0.00023239461,0.00031082527],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004395742,0.0005684326,0.03616282,0.0005964319,0.00024725165,0.0012187295,0.00026890394,0.50873595,0.26438236,0.0017436172,0.00078977516,0.18088995],"study_design_scores_gemma":[0.00012260384,0.0036534204,0.034847215,0.000040125313,0.0002744244,0.0007037992,0.00063934416,0.60681975,0.34806114,0.0013295475,0.0034427838,0.0000658476],"about_ca_topic_score_codex":0.0016877676,"about_ca_topic_score_gemma":0.001924298,"teacher_disagreement_score":0.0019386089,"about_ca_system_score_codex":0.00033304055,"about_ca_system_score_gemma":0.00013529327,"threshold_uncertainty_score":0.0064852834},"labels":[],"label_agreement":null},{"id":"W2082528617","doi":"10.2478/ecce-2013-0006","title":"Active Battery Balancing for Battery Packs","year":2013,"lang":"en","type":"article","venue":"Electrical Control and Communication Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"European Social Fund; Junta de Extremadura; Ministerio de Economía y Competitividad","keywords":"Battery (electricity); Equalization (audio); Voltage; Computer science; Transistor; State of charge; Power (physics); Topology (electrical circuits); Electrical engineering; Trickle charging; Electronic engineering; Engineering; Decoding methods; Algorithm","score_opus":0.005750782470867732,"score_gpt":0.2132938528009793,"score_spread":0.20754307033011155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082528617","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.097081624,0.002657288,0.86034095,0.0002735425,0.00038642687,0.00014683694,0.00015811357,0.0019717133,0.036983475],"genre_scores_gemma":[0.9531175,0.00058423943,0.031133596,0.000099746474,0.00010633785,0.00006005895,0.00013330938,0.00007219635,0.014693004],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999113,0.000015385373,0.000006746263,0.00001672923,0.000038148188,0.000011689895],"domain_scores_gemma":[0.99990416,0.000023040444,0.000013307016,0.000012612798,0.000041415016,0.0000055079586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011375168,0.00031335402,0.00022676104,0.00038282163,0.00023523293,0.00050777785,0.0006855149,0.00030370883,0.006112729],"category_scores_gemma":[0.00023000309,0.0001212244,0.00017650095,0.000347669,0.0001841382,0.0007275725,0.00027462404,0.00024483292,0.0014575946],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043676785,0.0001576516,0.0006645069,0.00074689294,0.000047830395,0.00021476591,0.000183328,0.035347123,0.3878505,0.031784438,0.0069937664,0.53557247],"study_design_scores_gemma":[0.00009915177,0.0011219934,0.0022111677,0.00014325047,0.00012685261,0.00069299573,0.00011874023,0.5968722,0.27657878,0.028391339,0.09358626,0.000057332894],"about_ca_topic_score_codex":0.00023049815,"about_ca_topic_score_gemma":0.00032835317,"teacher_disagreement_score":0.006112729,"about_ca_system_score_codex":0.00022575703,"about_ca_system_score_gemma":0.0000992142,"threshold_uncertainty_score":0.020449102},"labels":[],"label_agreement":null},{"id":"W2082753519","doi":"10.1149/1.3487637","title":"A High Precision Study of the Coulombic Efficiency of Li-Ion Batteries","year":2010,"lang":"en","type":"article","venue":"Electrochemical and Solid-State Letters","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":169,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Faraday efficiency; Ion; Inefficiency; Materials science; Coulometry; Chemistry; Anode; Electrochemistry; Electrode; Physical chemistry; Organic chemistry","score_opus":0.004626817162367385,"score_gpt":0.23270896238048216,"score_spread":0.2280821452181148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082753519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94629574,0.0024763783,0.047458183,0.000116225965,0.00006325849,0.000053096544,0.00042340133,0.00029941255,0.0028143066],"genre_scores_gemma":[0.99010617,0.00042619376,0.008167685,0.000030756673,0.000018178933,0.0000178634,0.0002527167,0.000029802404,0.0009506726],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984546,0.00010368608,0.000114640614,0.00025556405,0.000989765,0.000081692844],"domain_scores_gemma":[0.99806124,0.0006312384,0.00012479679,0.00037519654,0.00078575785,0.000021716643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001402994,0.0002742352,0.0004960884,0.0006928256,0.0004031186,0.0007151575,0.00087925186,0.0006181876,0.000535873],"category_scores_gemma":[0.0039599505,0.00019942579,0.0001912567,0.0009614309,0.00036550447,0.0007918303,0.00033242136,0.00044191378,0.00021177207],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035105358,0.00012175297,0.008341649,0.00018973695,0.0000615179,0.00015838169,0.00014224877,0.0054616733,0.9425243,0.000998756,0.0003462992,0.04130263],"study_design_scores_gemma":[0.000021041558,0.0004015664,0.011938712,0.000013047755,0.000039091243,0.00041677844,0.000038767877,0.015097047,0.96961457,0.0001855064,0.0022067793,0.000027148873],"about_ca_topic_score_codex":0.0015842703,"about_ca_topic_score_gemma":0.0014132485,"teacher_disagreement_score":0.0015842703,"about_ca_system_score_codex":0.0006869363,"about_ca_system_score_gemma":0.0003459314,"threshold_uncertainty_score":0.0074198246},"labels":[],"label_agreement":null},{"id":"W2083169655","doi":"10.1016/j.jpowsour.2013.09.060","title":"Accurate determination of battery discharge characteristics – A comparison between two battery temperature control methods","year":2013,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Automotive engineering; Temperature control; Nuclear engineering; Range (aeronautics); Depth of discharge; Thermal; Materials science; Environmental science; Thermodynamics; Mechanical engineering; Engineering; Composite material; Power (physics)","score_opus":0.018385404054950222,"score_gpt":0.332139394389404,"score_spread":0.3137539903344538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083169655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5521486,0.0055681802,0.4331615,0.00024893016,0.0006045165,0.0002955005,0.0005980948,0.0021568434,0.0052178395],"genre_scores_gemma":[0.9148702,0.0015280951,0.07888621,0.00019658617,0.00010145461,0.00020134177,0.0003949789,0.0002965225,0.0035246804],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982969,0.00022839736,0.0000888471,0.0003615317,0.0009508075,0.00007346503],"domain_scores_gemma":[0.9971693,0.0010272006,0.00023297717,0.0005129265,0.0009888501,0.000068706344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001263909,0.0005641731,0.0007640226,0.0009134932,0.0003372152,0.00068852806,0.0012849199,0.00090337184,0.0009777821],"category_scores_gemma":[0.0034352473,0.00041330152,0.000404857,0.00070177874,0.00038188358,0.0010360798,0.0006032366,0.00067335827,0.0006573491],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032265238,0.00042881232,0.01967898,0.0007686477,0.000249499,0.00011035448,0.00076371484,0.0033947125,0.6479609,0.0006919423,0.0013645041,0.32136142],"study_design_scores_gemma":[0.0002163397,0.0016958463,0.061053377,0.000065138905,0.00032673863,0.0011786706,0.00034401167,0.07711265,0.84882987,0.0006012624,0.0083945235,0.00018164233],"about_ca_topic_score_codex":0.0011623987,"about_ca_topic_score_gemma":0.0021196927,"teacher_disagreement_score":0.0012849199,"about_ca_system_score_codex":0.00038510642,"about_ca_system_score_gemma":0.00034161634,"threshold_uncertainty_score":0.0066842437},"labels":[],"label_agreement":null},{"id":"W2085846355","doi":"10.1007/s12239-014-0067-x","title":"Combined power management/design optimization for a fuel cell/battery plug-in hybrid electric vehicle using multi-objective particle swarm optimization","year":2014,"lang":"en","type":"article","venue":"International Journal of Automotive Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"","keywords":"Particle swarm optimization; Multi-objective optimization; Mathematical optimization; Pareto principle; Multi-swarm optimization; MATLAB; Computer science; Optimization problem; Engineering; Mathematics","score_opus":0.014810367422825942,"score_gpt":0.27252936316529114,"score_spread":0.2577189957424652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085846355","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2339012,0.0009519412,0.7425533,0.0006007117,0.00020704225,0.0002444659,0.00014276495,0.00042066013,0.020977989],"genre_scores_gemma":[0.95491624,0.00016397898,0.039623626,0.00008306342,0.000038120164,0.00020418766,0.00008283718,0.00003611727,0.004851918],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998037,0.0000635658,0.000008202817,0.000027252263,0.00006375084,0.000033548007],"domain_scores_gemma":[0.99973553,0.00013996966,0.000026284575,0.00000999344,0.00006913226,0.000019034811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006518507,0.001047688,0.0010948031,0.0006193544,0.0006086392,0.0011896391,0.00063182734,0.0013543023,0.0020514072],"category_scores_gemma":[0.00084966084,0.00060959737,0.00084650074,0.00042776248,0.00040883155,0.0005462252,0.0006081403,0.0007075971,0.00022272364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035960973,0.000040123563,0.00019384077,0.000030076535,0.000026584856,0.000038240305,0.000010911944,0.9936373,0.00068238855,0.00035340842,0.0001481159,0.0048031057],"study_design_scores_gemma":[0.000009053193,0.00003073388,0.000078745914,0.0000015539142,0.0000075289327,0.0000035208268,0.0000056041863,0.99946564,0.00018623886,0.00012364204,0.00008623855,0.0000014942108],"about_ca_topic_score_codex":0.0071644606,"about_ca_topic_score_gemma":0.006921269,"teacher_disagreement_score":0.0071644606,"about_ca_system_score_codex":0.0005750755,"about_ca_system_score_gemma":0.0008454021,"threshold_uncertainty_score":0.01424551},"labels":[],"label_agreement":null},{"id":"W2085935657","doi":"10.1016/s1389-9457(11)70162-9","title":"M-J-082 ALPHA EEG POWER SHOWS INATTENTION PRIOR TO IMPULSIVE RESPONSES IN A SIMPLE RT TASK FOLLOWING ONE NIGHT OF SLEEP DEPRIVATION","year":2011,"lang":"en","type":"article","venue":"Sleep Medicine","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Universidade do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Sleep deprivation; Electroencephalography; Alpha (finance); Sleep (system call); Audiology; Task (project management); Psychology; Simple (philosophy); Neuroscience; Medicine; Computer science; Developmental psychology; Circadian rhythm","score_opus":0.02394938561900367,"score_gpt":0.2839889658430829,"score_spread":0.26003958022407925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085935657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99821585,0.000049880255,0.00035752368,0.00007464591,0.00006245339,0.000028661583,0.0003707707,0.000020002275,0.0008202915],"genre_scores_gemma":[0.9967135,0.00007439623,0.00037711757,0.00010692011,0.000022939168,0.000065161286,0.00071442995,0.00001729135,0.0019082286],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999212,0.000008506618,0.000008546535,0.000015079426,0.000015749602,0.000030884486],"domain_scores_gemma":[0.9997009,0.00008479407,0.000046983267,0.00003758529,0.00002800869,0.000101835794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014114058,0.0003947045,0.00049591943,0.00019482688,0.0002492848,0.00023289991,0.00028049777,0.00049286406,0.0034414402],"category_scores_gemma":[0.0006255157,0.00022372161,0.0002964609,0.00014126863,0.00043893902,0.00023399433,0.0004008512,0.0014317689,0.00049080007],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.024798296,0.0019535443,0.01272599,0.00011328729,0.00015558238,0.0011904611,0.00040631962,0.000108804765,0.9474297,0.00012703823,0.00102686,0.00996404],"study_design_scores_gemma":[0.00044939158,0.01350482,0.8294831,0.000029630894,0.0001262475,0.0019201644,0.00063533284,0.0017666573,0.15014333,0.0002609734,0.001633605,0.00004681348],"about_ca_topic_score_codex":0.0025427288,"about_ca_topic_score_gemma":0.0055888095,"teacher_disagreement_score":0.0034414402,"about_ca_system_score_codex":0.00015962278,"about_ca_system_score_gemma":0.00021270859,"threshold_uncertainty_score":0.011512816},"labels":[],"label_agreement":null},{"id":"W2086633088","doi":"10.1145/1497561.1497572","title":"Battery voltage modeling for portable systems","year":2009,"lang":"en","type":"article","venue":"ACM Transactions on Design Automation of Electronic Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Battery (electricity); Computer science; Voltage; Automotive engineering; State of charge; Electrical engineering; Simulation; Power (physics); Engineering","score_opus":0.03160563532945789,"score_gpt":0.269428785904522,"score_spread":0.23782315057506412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086633088","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011210448,0.001511265,0.9404839,0.0004502438,0.00014988038,0.00014495365,0.0008217554,0.001219532,0.044007987],"genre_scores_gemma":[0.82403034,0.0057947002,0.08406798,0.0005028995,0.00026983037,0.00068289,0.0015180559,0.0005812954,0.082552],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979466,0.00003678817,0.000012357115,0.00003673404,0.000093244606,0.00002617928],"domain_scores_gemma":[0.99981517,0.00005548825,0.000020185082,0.000026265043,0.000076243545,0.000006662322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017793012,0.00074768596,0.0005490648,0.00044082874,0.00043287693,0.0010164352,0.0016258059,0.0010053158,0.008250108],"category_scores_gemma":[0.0012906479,0.00025538038,0.0006639817,0.0007216109,0.00028206312,0.0012770662,0.0005934231,0.0009886873,0.0031173725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045744746,0.00003357274,0.00043765505,0.00019116834,0.000017496754,0.00021816729,0.00014255894,0.9052375,0.006271329,0.036205728,0.006232366,0.044966776],"study_design_scores_gemma":[0.0000047242816,0.000024618917,0.00013303419,0.000020496795,0.000005953985,0.00007177429,0.00002442207,0.98087007,0.00091524044,0.009050807,0.008870434,0.000008347775],"about_ca_topic_score_codex":0.007463162,"about_ca_topic_score_gemma":0.005687069,"teacher_disagreement_score":0.008250108,"about_ca_system_score_codex":0.000816321,"about_ca_system_score_gemma":0.0005709172,"threshold_uncertainty_score":0.027599394},"labels":[],"label_agreement":null},{"id":"W2087056357","doi":"10.1504/ijehv.2011.043878","title":"Advanced digital control for a switched capacitor and interleaved switched capacitor hybrid electric vehicle energy management system","year":2011,"lang":"en","type":"article","venue":"International Journal of Electric and Hybrid Vehicles","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Switched capacitor; Ripple; Capacitor; Waveform; EMI; Digital control; Controller (irrigation); Buck converter; Engineering; Electronic engineering; Inductor; Electrical engineering; Computer science; Voltage; Electromagnetic interference","score_opus":0.010154487443831212,"score_gpt":0.21762849531442288,"score_spread":0.20747400787059167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087056357","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.104345,0.00046225043,0.87132984,0.00027127747,0.0002173486,0.00015645436,0.00007193864,0.001357409,0.021788457],"genre_scores_gemma":[0.978388,0.000103068865,0.017765092,0.000066306675,0.000024479086,0.000061953804,0.000022329523,0.000011992506,0.0035567035],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998319,0.00001917344,0.000009349246,0.000032097803,0.00008718068,0.000020340418],"domain_scores_gemma":[0.9998685,0.000027328724,0.00001687574,0.000011087653,0.00006824228,0.000007795537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020408597,0.0003199888,0.00020733754,0.00022165697,0.0003968089,0.00079951965,0.0005369239,0.00027063082,0.0028136186],"category_scores_gemma":[0.00028208407,0.00012224824,0.00015245605,0.00016633542,0.0002023078,0.00023382773,0.00022904808,0.0003602949,0.0003060128],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000984654,0.0003511449,0.0015534393,0.00044611294,0.00013911797,0.0005667676,0.0003755552,0.19556017,0.269863,0.030281376,0.0046019005,0.49527666],"study_design_scores_gemma":[0.000124992,0.00052704493,0.00085775426,0.00002749693,0.00005541665,0.00020205756,0.000049429666,0.9438026,0.041793153,0.0027201348,0.009815612,0.000024356237],"about_ca_topic_score_codex":0.0020479662,"about_ca_topic_score_gemma":0.0030262305,"teacher_disagreement_score":0.0028136186,"about_ca_system_score_codex":0.00041821398,"about_ca_system_score_gemma":0.00045174084,"threshold_uncertainty_score":0.0094124675},"labels":[],"label_agreement":null},{"id":"W2088266989","doi":"10.1149/2.047302jes","title":"Accurate and Precise Temperature-Controlled Boxes for the Safe Testing of Advanced Automotive Li-Ion Cells with High Precision Coulometry","year":2012,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Automotive industry; Coulometry; Battery (electricity); Computer science; Lithium (medication); Electrolyte; Automotive engineering; Materials science; Electronics; Nuclear engineering; Ion; Process engineering; Nanotechnology; Electrode; Electrical engineering; Chemistry; Engineering; Physics; Aerospace engineering; Electrochemistry","score_opus":0.008543792999422657,"score_gpt":0.24877823060982662,"score_spread":0.24023443761040397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088266989","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14400446,0.001059697,0.8455999,0.00034164975,0.0002684265,0.0008696894,0.0008087964,0.0050117834,0.0020355063],"genre_scores_gemma":[0.39313602,0.0005583997,0.6014168,0.00017768836,0.00006693745,0.0014336959,0.0006022099,0.00041595421,0.0021922444],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9960205,0.0006841642,0.0003476043,0.00040338555,0.0023207767,0.0002235127],"domain_scores_gemma":[0.9927416,0.002157119,0.0007957696,0.002261903,0.0018760366,0.00016765385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041996725,0.001175607,0.001212563,0.0012518549,0.0007576899,0.001079701,0.0026928282,0.0011869,0.0026205496],"category_scores_gemma":[0.007583992,0.0010810456,0.00044397768,0.00066200906,0.0009273209,0.0016512994,0.0011662756,0.0011319277,0.001597373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005595737,0.00015360843,0.0034822975,0.0003840176,0.000028529506,0.00012718007,0.0002456009,0.005539204,0.9386298,0.0030989463,0.0017303022,0.046020936],"study_design_scores_gemma":[0.00010351926,0.00043810144,0.0031670749,0.000045444107,0.000037282258,0.00036361438,0.000069141104,0.028062554,0.95633835,0.000786062,0.010498748,0.00009018715],"about_ca_topic_score_codex":0.0005742293,"about_ca_topic_score_gemma":0.0013884816,"teacher_disagreement_score":0.0041996725,"about_ca_system_score_codex":0.0006099522,"about_ca_system_score_gemma":0.0010185514,"threshold_uncertainty_score":0.02221024},"labels":[],"label_agreement":null},{"id":"W2089366436","doi":"10.1016/j.electacta.2006.03.012","title":"A model-based analysis of flow-cell behaviour in constant-voltage electrolysis","year":2006,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cell voltage; Electrolysis; Mechanics; Cascade; Limiting current; Constant (computer programming); Voltage; Electrolytic cell; Constant current; Concentric; Flow (mathematics); Materials science; Limiting; Current (fluid); Chemistry; Electrolyte; Thermodynamics; Electrode; Computer science; Physics; Mathematics; Mechanical engineering; Engineering; Electrochemistry; Electrical engineering; Chromatography; Geometry","score_opus":0.0064628627795755705,"score_gpt":0.2280156936069615,"score_spread":0.22155283082738592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089366436","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43165562,0.0018150836,0.5390059,0.00072439737,0.00020915315,0.00016563942,0.00035613726,0.0016068078,0.024461254],"genre_scores_gemma":[0.99057454,0.00028052423,0.0050220676,0.000036700672,0.000016102924,0.000037487145,0.00007377495,0.00006878582,0.003890137],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991906,0.000019789983,0.0000032249682,0.000013858444,0.000029453657,0.000014612229],"domain_scores_gemma":[0.99976724,0.00014271782,0.000012914136,0.000017389923,0.00005157483,0.0000081560665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024285793,0.0004934639,0.00090699305,0.00028228265,0.00044462527,0.0008315278,0.0009209227,0.0011615781,0.0023946683],"category_scores_gemma":[0.0009139887,0.00029388568,0.00054487295,0.00024742412,0.00043957468,0.0008463052,0.00023650826,0.00057284295,0.00036671854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009930634,0.00006334113,0.00033376567,0.000079684236,0.000019983967,0.00007395567,0.000056516335,0.9681684,0.01583113,0.0061910576,0.00049663166,0.00858624],"study_design_scores_gemma":[0.0000038704297,0.000009177324,0.00007089032,0.0000012383585,0.0000024009116,0.0000049921273,0.0000021866115,0.9983877,0.0009829872,0.00039656248,0.00013565604,0.000002331844],"about_ca_topic_score_codex":0.0126787545,"about_ca_topic_score_gemma":0.0045668813,"teacher_disagreement_score":0.0126787545,"about_ca_system_score_codex":0.0007934278,"about_ca_system_score_gemma":0.0006313875,"threshold_uncertainty_score":0.025209904},"labels":[],"label_agreement":null},{"id":"W2089789153","doi":"10.1109/itec.2013.6573513","title":"Comprehensive modeling of electric vehicles to analyze their performance based on different propulsion profiles","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Transient (computer programming); Stator; Torque; Voltage; Automotive engineering; Battery (electricity); Reliability (semiconductor); Harmonic; Electric motor; Engineering; Propulsion; Electric vehicle; Computer science; Control theory (sociology); Electrical engineering; Power (physics); Physics; Aerospace engineering","score_opus":0.020568535514132402,"score_gpt":0.24274928339548654,"score_spread":0.22218074788135414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089789153","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3018176,0.0012411551,0.6178335,0.00043387816,0.00013153083,0.0002053042,0.0010948059,0.0011680407,0.07607415],"genre_scores_gemma":[0.9761596,0.0005540243,0.007595366,0.000038963328,0.000018676954,0.00013978731,0.0003562296,0.000068176545,0.015069059],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998996,0.00002131944,0.0000049490845,0.00001526066,0.00004048166,0.00001821282],"domain_scores_gemma":[0.9999331,0.000019377228,0.000009261145,0.000009112011,0.000024945595,0.000004192522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014936837,0.00063236797,0.0004799835,0.0003888471,0.0002776985,0.0005920138,0.0005679213,0.0007189874,0.001977951],"category_scores_gemma":[0.0003957472,0.0002216312,0.0005789991,0.00031856334,0.00021093253,0.00063557725,0.00030956397,0.00039679167,0.0006092541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026265783,0.000024777324,0.0005103955,0.00002963795,0.0000119873475,0.000046937064,0.000036904974,0.9876059,0.0037713773,0.0032129332,0.00034620464,0.0043767416],"study_design_scores_gemma":[0.0000019861543,0.000019761474,0.0002627012,0.000003334046,0.0000029957532,0.000011356038,0.000011001465,0.9978569,0.00043744638,0.0005956219,0.0007938218,0.0000029507657],"about_ca_topic_score_codex":0.006864974,"about_ca_topic_score_gemma":0.003932739,"teacher_disagreement_score":0.006864974,"about_ca_system_score_codex":0.00042730282,"about_ca_system_score_gemma":0.00038135826,"threshold_uncertainty_score":0.01365},"labels":[],"label_agreement":null},{"id":"W2089837414","doi":"10.1109/isie.2013.6563720","title":"Online parameter identification of a retrofitted hydrogen genset for maximum efficiency","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Topology (electrical circuits); Control theory (sociology); Automotive engineering; Electrical engineering; Engineering","score_opus":0.02049012892642328,"score_gpt":0.27540830230102525,"score_spread":0.254918173374602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089837414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6396333,0.00013777026,0.35482064,0.00008835056,0.000020550007,0.00008511294,0.00012297358,0.0015795438,0.0035116794],"genre_scores_gemma":[0.98530406,0.000022308497,0.014048851,0.0000059331387,0.0000016071311,0.0000328535,0.00006782132,0.000030652867,0.00048586453],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999002,0.000019564857,0.0000057007014,0.000023234927,0.00004096457,0.000010283393],"domain_scores_gemma":[0.99978775,0.00009869492,0.000030630705,0.000022264154,0.000053646145,0.000007050701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025300265,0.00061574794,0.0004738412,0.00032847933,0.00018163896,0.00046804154,0.00036256763,0.00041940153,0.00097293453],"category_scores_gemma":[0.00070565066,0.00024139223,0.0003134879,0.00015309718,0.00017821946,0.00034312136,0.0003103808,0.00029971264,0.00029536293],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042209672,0.00010777738,0.008901592,0.00030821149,0.00008096563,0.00026961247,0.00031133942,0.6716014,0.17439458,0.00079015014,0.0006850715,0.1421272],"study_design_scores_gemma":[0.000018564306,0.00021853844,0.004250002,0.000007759025,0.000018225408,0.000050458206,0.000055298395,0.95939153,0.034814093,0.00022865574,0.00092978665,0.000017081768],"about_ca_topic_score_codex":0.0012774573,"about_ca_topic_score_gemma":0.0018697566,"teacher_disagreement_score":0.0012774573,"about_ca_system_score_codex":0.00020666076,"about_ca_system_score_gemma":0.0002483539,"threshold_uncertainty_score":0.0032547712},"labels":[],"label_agreement":null},{"id":"W2092200183","doi":"10.5402/2011/120351","title":"Estimation Strategies for the Condition Monitoring of a Battery System in a Hybrid Electric Vehicle","year":2011,"lang":"en","type":"article","venue":"ISRN Signal Processing","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Kalman filter; Robustness (evolution); Extended Kalman filter; Battery (electricity); Electric vehicle; Automotive engineering; Control theory (sociology); Condition monitoring; Computer science; Engineering; Particle filter; Power (physics); Electrical engineering","score_opus":0.03357398038346488,"score_gpt":0.28208493725165534,"score_spread":0.24851095686819047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092200183","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0152454255,0.00028007364,0.983622,0.000059497517,0.000014231495,0.000025051719,0.0000105825675,0.00014940665,0.000593673],"genre_scores_gemma":[0.86511123,0.000629941,0.13222057,0.00004976754,0.000040074705,0.00010365316,0.00005528954,0.00002766744,0.0017618649],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998493,0.000037436457,0.000012904707,0.000038112696,0.000048000013,0.000014236134],"domain_scores_gemma":[0.99956983,0.0002316784,0.00008069033,0.000019100968,0.00009070234,0.000008024934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046454393,0.0005318872,0.00042647365,0.00038300522,0.00021287578,0.0004880725,0.00044594132,0.00038644506,0.000688609],"category_scores_gemma":[0.0020822573,0.00020806177,0.00023815379,0.0002327332,0.00027526863,0.0006009469,0.0003672843,0.00041536507,0.00014927695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016536406,0.00006420486,0.001759339,0.00018222046,0.000067744935,0.00010819634,0.0002696119,0.6040187,0.020729633,0.008650901,0.0007711018,0.36321297],"study_design_scores_gemma":[0.000018812403,0.00010213208,0.0009455922,0.00001756332,0.000020476346,0.000039118848,0.000036890546,0.9911849,0.0040950407,0.0023727678,0.0011524494,0.000014217704],"about_ca_topic_score_codex":0.004956212,"about_ca_topic_score_gemma":0.0033372894,"teacher_disagreement_score":0.004956212,"about_ca_system_score_codex":0.0002769547,"about_ca_system_score_gemma":0.0003535319,"threshold_uncertainty_score":0.009854734},"labels":[],"label_agreement":null},{"id":"W2093650949","doi":"10.1149/1.3557892","title":"A High Precision Coulometry Study of the SEI Growth in Li/Graphite Cells","year":2011,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":286,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Electrolyte; Diethyl carbonate; Graphite; Coulometry; Electrode; Faraday efficiency; Ethylene carbonate; Chemistry; Analytical Chemistry (journal); Electrochemistry; Chromatography; Organic chemistry; Physical chemistry","score_opus":0.011025626907657102,"score_gpt":0.23345191842488974,"score_spread":0.22242629151723264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093650949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98322725,0.001591097,0.012512317,0.00011414915,0.000030211138,0.000053771786,0.00057555665,0.00023691308,0.0016585962],"genre_scores_gemma":[0.99105984,0.00056129333,0.007224536,0.00003309891,0.000013433144,0.000024026018,0.00029694484,0.00001534855,0.00077149255],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99954283,0.000054776894,0.000036212292,0.000059386653,0.00026060842,0.000046273926],"domain_scores_gemma":[0.99944395,0.00022037841,0.0000470852,0.000075234326,0.00018738177,0.000025910535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006008361,0.00031498342,0.0003681405,0.00080974936,0.00047741475,0.00045105946,0.00045242778,0.00062620133,0.0005865772],"category_scores_gemma":[0.0009779959,0.00018300852,0.00022998951,0.0010658589,0.00026232086,0.0004585318,0.00022972518,0.00045486866,0.00018312859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013533841,0.00005126854,0.0023445534,0.00006449394,0.000011240817,0.00015166598,0.000083956314,0.0006537726,0.9853662,0.00014136014,0.00008882857,0.0109072365],"study_design_scores_gemma":[0.00001071162,0.00039757168,0.012225236,0.000009401529,0.000015463484,0.00032648418,0.000059058995,0.005780771,0.97985816,0.000082503975,0.0012169378,0.000017633463],"about_ca_topic_score_codex":0.0023171338,"about_ca_topic_score_gemma":0.0022515205,"teacher_disagreement_score":0.0023171338,"about_ca_system_score_codex":0.00045583985,"about_ca_system_score_gemma":0.00026899067,"threshold_uncertainty_score":0.00460726},"labels":[],"label_agreement":null},{"id":"W2094791253","doi":"10.1109/rams.2013.6517651","title":"Using reliability modeling and accelerated life testing to estimate solar inverter useful life","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Schneider Electric (Canada)","funders":"","keywords":"Photovoltaic system; Reliability (semiconductor); Solar micro-inverter; Inverter; Grid-connected photovoltaic power system; Power (physics); Maximum power point tracking; Reliability engineering; Accelerated life testing; Computer science; Power optimizer; Electronic engineering; Grid; Solar power; Power inverter; Electrical engineering; Engineering; Voltage; Physics","score_opus":0.15789802830604246,"score_gpt":0.3438190336079752,"score_spread":0.18592100530193276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094791253","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37130785,0.0009751912,0.61638457,0.00021288628,0.00009100306,0.00013603648,0.0008633587,0.0029542425,0.00707489],"genre_scores_gemma":[0.9494774,0.00031298416,0.04785419,0.000023757379,0.000017701163,0.00013007515,0.00069698953,0.00013756898,0.0013494643],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995577,0.00009760117,0.000028788954,0.00005754522,0.00022649688,0.000031800166],"domain_scores_gemma":[0.99795145,0.0008831958,0.00028104207,0.00028378112,0.0005681645,0.000032456348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073717633,0.001035185,0.00049575703,0.0013627101,0.0003562574,0.00043436568,0.00076341303,0.0008300166,0.0012348873],"category_scores_gemma":[0.0034891462,0.0004697154,0.0010199079,0.0008236619,0.00021028671,0.0013031388,0.00026507155,0.0005340422,0.0005819299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011727176,0.00011416669,0.010147502,0.00012594114,0.00010714398,0.0001422563,0.00006976541,0.92385745,0.012381372,0.0018428733,0.0011426375,0.049951628],"study_design_scores_gemma":[0.0000049455284,0.00007058574,0.0014774398,0.000008577554,0.000019105473,0.000054175114,0.000005670828,0.995226,0.0022630666,0.0005894261,0.000271058,0.0000099146255],"about_ca_topic_score_codex":0.005311636,"about_ca_topic_score_gemma":0.004257723,"teacher_disagreement_score":0.005311636,"about_ca_system_score_codex":0.00063786627,"about_ca_system_score_gemma":0.0005462765,"threshold_uncertainty_score":0.010561466},"labels":[],"label_agreement":null},{"id":"W2094826597","doi":"10.1109/apec.2014.6803517","title":"Assisting converter based integrated battery management system for low power applications","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Flyback converter; Buck–boost converter; Flyback transformer; Battery (electricity); Electrical engineering; Capacitor; Boost converter; Power management; Buck converter; Computer science; Voltage; Forward converter; Inductor; Controller (irrigation); Power (physics); Electronic engineering; Power management system; Engineering; Physics","score_opus":0.009825524509679773,"score_gpt":0.23751651851007166,"score_spread":0.2276909940003919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094826597","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2516786,0.0029135668,0.69784087,0.00037496645,0.00050390075,0.00034432494,0.00047506054,0.012541281,0.03332746],"genre_scores_gemma":[0.86940545,0.0011706331,0.097126886,0.00030975204,0.000197296,0.00014042419,0.000510028,0.00015780173,0.030981686],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990416,0.000007397222,0.0000065182276,0.000016765494,0.000054032414,0.000011103614],"domain_scores_gemma":[0.99993014,0.000009112609,0.000006385782,0.000009902884,0.000036704765,0.000007682483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000086724045,0.000281573,0.00034678497,0.00031318082,0.0002600277,0.00041562194,0.00088063645,0.00027847211,0.00517595],"category_scores_gemma":[0.00011292933,0.00011143185,0.00014760182,0.0003033422,0.00007737435,0.0005501846,0.00022290676,0.00027248875,0.0012638266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032692403,0.00018496788,0.0014484889,0.00040181106,0.000041389845,0.0004144376,0.00011612676,0.002064522,0.5575917,0.0023788759,0.006589952,0.4284408],"study_design_scores_gemma":[0.00025847086,0.002384307,0.012309078,0.00010720304,0.00030460104,0.004891583,0.00015693803,0.13463816,0.6785106,0.004075797,0.16225152,0.00011163003],"about_ca_topic_score_codex":0.00033520535,"about_ca_topic_score_gemma":0.0006954163,"teacher_disagreement_score":0.00517595,"about_ca_system_score_codex":0.00015421155,"about_ca_system_score_gemma":0.00018741943,"threshold_uncertainty_score":0.017315269},"labels":[],"label_agreement":null},{"id":"W2095400985","doi":"10.4271/2012-01-0125","title":"A Review Study of Methods for Lithium-ion Battery Health Monitoring and Remaining Life Estimation in Hybrid Electric Vehicles","year":2012,"lang":"en","type":"review","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Transport Canada","keywords":"Battery (electricity); Estimation; Lithium (medication); Lithium-ion battery; Automotive engineering; Computer science; Electrical engineering; Reliability engineering; Engineering; Systems engineering; Power (physics); Medicine; Physics","score_opus":0.07507014635207833,"score_gpt":0.40893065022181907,"score_spread":0.33386050386974075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095400985","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011962163,0.94053423,0.05137993,0.00045634102,0.0009898283,0.00006232376,0.00015439645,0.00014498283,0.0050817253],"genre_scores_gemma":[0.0153427515,0.93654966,0.04137848,0.000399924,0.0013041977,0.000120379715,0.00045889948,0.00006907606,0.0043765884],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99882275,0.00019251577,0.0001669793,0.00030976345,0.00046848285,0.000039474085],"domain_scores_gemma":[0.9971879,0.0015548884,0.0001577361,0.00011321611,0.0009477435,0.00003851088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016915422,0.0011203794,0.0013438732,0.0027224517,0.00033154213,0.0017224745,0.0016705905,0.001217048,0.002903866],"category_scores_gemma":[0.003935465,0.0005807965,0.0012348191,0.0042439844,0.0005657427,0.0026107708,0.0005713032,0.0011877402,0.0018023667],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072421906,0.000066263914,0.0010078149,0.012187741,0.00016680558,0.00011869136,0.00013439915,0.003908945,0.001952589,0.01050722,0.012977335,0.95689976],"study_design_scores_gemma":[0.000021764039,0.0003216187,0.004795211,0.00747685,0.0006013455,0.0013493833,0.00035202593,0.020407643,0.005402405,0.011216259,0.94789314,0.00016242082],"about_ca_topic_score_codex":0.002846685,"about_ca_topic_score_gemma":0.0013802219,"teacher_disagreement_score":0.002903866,"about_ca_system_score_codex":0.0007931273,"about_ca_system_score_gemma":0.0015046564,"threshold_uncertainty_score":0.009714425},"labels":[],"label_agreement":null},{"id":"W2096067845","doi":"10.1109/apec.2013.6520578","title":"A novel open loop control scheme for a current-driven Full-Bridge DC/DC converter used in electric vehicles","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"DC motor; Direct current; Flexibility (engineering); Current (fluid); Current sensor; Computer science; Converters; Scheme (mathematics); Power (physics); Electronic engineering; DC bias; Bridge (graph theory); Engineering; Control theory (sociology); Electrical engineering; Voltage; Control (management); Physics","score_opus":0.040233299434182294,"score_gpt":0.30525303430104606,"score_spread":0.26501973486686375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096067845","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01812358,0.00037427986,0.972129,0.00013965412,0.00036280273,0.0002671964,0.0000508652,0.001550101,0.0070026023],"genre_scores_gemma":[0.85979044,0.00031592656,0.12948486,0.0002637935,0.00018108437,0.00034710785,0.00010551996,0.000075380296,0.009435945],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997204,0.000024519954,0.000019527544,0.00008411041,0.00013121538,0.000020234296],"domain_scores_gemma":[0.99982315,0.000027540978,0.00001877154,0.000023168881,0.00009292962,0.0000144767755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031810722,0.00044660817,0.00031194833,0.00032319236,0.0003992656,0.00066061935,0.0013747783,0.0005725439,0.003606196],"category_scores_gemma":[0.00036999804,0.00014627735,0.0002513056,0.000190541,0.000347882,0.00054383755,0.00034782448,0.0007035767,0.00074684736],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032661302,0.00035026815,0.00040999617,0.0006426772,0.000065915796,0.0003929139,0.00042415058,0.023331577,0.43880484,0.019961905,0.0043959054,0.5108932],"study_design_scores_gemma":[0.0003999949,0.0021038025,0.0019873206,0.00011051416,0.00010224827,0.0013522985,0.00007508131,0.66873163,0.24802515,0.008255228,0.06871042,0.00014626903],"about_ca_topic_score_codex":0.00055537035,"about_ca_topic_score_gemma":0.0006783886,"teacher_disagreement_score":0.003606196,"about_ca_system_score_codex":0.00024771068,"about_ca_system_score_gemma":0.00031231018,"threshold_uncertainty_score":0.0120639205},"labels":[],"label_agreement":null},{"id":"W2096427132","doi":"10.1109/ecce.2011.6064160","title":"A modular balancing bridge for series connected Li-ion batteries","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta; Alberta Innovates - Technology Futures","keywords":"Transformer; Modular design; Voltage; Electromagnetic coil; Electrical engineering; Computer science; Inductor; Series and parallel circuits; Topology (electrical circuits); Engineering","score_opus":0.0367560650025502,"score_gpt":0.25031887919083545,"score_spread":0.21356281418828527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096427132","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13727264,0.0017222906,0.81652844,0.00036336255,0.000390244,0.0004285383,0.00034086476,0.0038035284,0.039150126],"genre_scores_gemma":[0.79975677,0.00085042155,0.17732792,0.0002936433,0.00013950995,0.000385888,0.0004406786,0.00017450874,0.020630682],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998536,0.000017505108,0.000010607689,0.000025414558,0.00007647769,0.000016359278],"domain_scores_gemma":[0.9998859,0.000014906744,0.00001721911,0.00002266803,0.000045801902,0.000013601252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023635724,0.0004613327,0.0003182965,0.00048097805,0.00034577103,0.00041743912,0.0014461474,0.00047959227,0.0050586276],"category_scores_gemma":[0.00031501584,0.00021860277,0.00023788691,0.00038073814,0.00021159263,0.0010813494,0.00056722807,0.0003990961,0.001799263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025542334,0.00014842312,0.0009437583,0.0005696478,0.000033389202,0.0003060753,0.00014670695,0.016833305,0.6670054,0.020216765,0.005593255,0.28794783],"study_design_scores_gemma":[0.00022089285,0.002465659,0.0034945444,0.00014618393,0.000116106676,0.0031282175,0.00008719448,0.24870211,0.56408566,0.017407542,0.16004053,0.000105276566],"about_ca_topic_score_codex":0.00021766809,"about_ca_topic_score_gemma":0.0003222116,"teacher_disagreement_score":0.0050586276,"about_ca_system_score_codex":0.0003322395,"about_ca_system_score_gemma":0.00024940795,"threshold_uncertainty_score":0.016922772},"labels":[],"label_agreement":null},{"id":"W2097528081","doi":"10.1109/vppc.2011.6043191","title":"Battery modeling approaches and management techniques for Plug-in Hybrid Electric Vehicles","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Battery (electricity); Computer science; Battery pack; State of charge; Plug-in; Automotive engineering; Electric vehicle; Energy management; Energy (signal processing); Simulation; Engineering; Power (physics)","score_opus":0.06918288839053233,"score_gpt":0.25128519999782256,"score_spread":0.18210231160729023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097528081","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028049364,0.0029014095,0.9847973,0.000281068,0.000117547774,0.00006573189,0.000107851236,0.00031445568,0.008609605],"genre_scores_gemma":[0.5573727,0.02796374,0.3667633,0.00045088594,0.0005537446,0.0012009759,0.0009903918,0.00040870658,0.044295583],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998443,0.000038153237,0.000015966032,0.000024628154,0.00006490016,0.00001192871],"domain_scores_gemma":[0.9998939,0.000028822024,0.000014590293,0.000011443187,0.000047540056,0.0000037376144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025708755,0.0009411227,0.0006133897,0.0006430139,0.00045166246,0.0009361388,0.0016223575,0.0007567591,0.0026728688],"category_scores_gemma":[0.00057113817,0.00037558912,0.0009315468,0.00076217443,0.00022942008,0.0016576018,0.0006206574,0.0009458232,0.0014008324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035306548,0.000067955145,0.00060024817,0.00045971083,0.00006169579,0.00034733358,0.0002872224,0.73591775,0.00602707,0.09252361,0.0063007725,0.1573713],"study_design_scores_gemma":[0.000005626712,0.00003301554,0.00017330793,0.000046208235,0.000027530246,0.00018608996,0.00007065159,0.94972444,0.001437292,0.03031879,0.017956886,0.00002023048],"about_ca_topic_score_codex":0.004287846,"about_ca_topic_score_gemma":0.0039231256,"teacher_disagreement_score":0.004287846,"about_ca_system_score_codex":0.0005418463,"about_ca_system_score_gemma":0.00047151675,"threshold_uncertainty_score":0.00894165},"labels":[],"label_agreement":null},{"id":"W2098468453","doi":"10.1109/ias.1991.178341","title":"Design of a 3-phase controlled rectifier system employing open-loop predictive ride-through control","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Rectifier (neural networks); Control theory (sociology); Model predictive control; Computer science; Term (time); Line (geometry); Control engineering; Control (management); Control system; Loop (graph theory); Power (physics); Open-loop controller; Closed loop; Engineering; Artificial neural network; Artificial intelligence; Mathematics; Electrical engineering","score_opus":0.055742286971828856,"score_gpt":0.3066745585984031,"score_spread":0.2509322716265742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098468453","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01180909,0.0001940201,0.9766316,0.00015057709,0.00008694494,0.00026959227,0.000056641096,0.0012532908,0.009548261],"genre_scores_gemma":[0.6431046,0.00050060963,0.34444767,0.00018994375,0.00007817305,0.0007056688,0.00017661178,0.000113880364,0.010682819],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996846,0.000068297886,0.000023673001,0.00006744569,0.00012991944,0.000026050237],"domain_scores_gemma":[0.99981004,0.0000442225,0.000035638102,0.000021926722,0.00007624897,0.000011937267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045220074,0.00044438336,0.0005408623,0.0002653378,0.0003974288,0.0010960596,0.0008120915,0.00094255985,0.0031475916],"category_scores_gemma":[0.0005374103,0.00030088043,0.00038174636,0.00021295516,0.00031777105,0.00045435314,0.00033092697,0.00056983373,0.001214583],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004823967,0.00016680209,0.0008100106,0.0010702902,0.00014073013,0.0010737447,0.0006456674,0.45489576,0.18231693,0.05876971,0.0056607956,0.29396716],"study_design_scores_gemma":[0.0003118735,0.00087857665,0.0006089888,0.00007891633,0.00009382564,0.00058229035,0.000050407034,0.9166478,0.04094504,0.0070806732,0.032654934,0.000066631146],"about_ca_topic_score_codex":0.0014538628,"about_ca_topic_score_gemma":0.0013826842,"teacher_disagreement_score":0.0031475916,"about_ca_system_score_codex":0.00028176987,"about_ca_system_score_gemma":0.0007259311,"threshold_uncertainty_score":0.010529757},"labels":[],"label_agreement":null},{"id":"W2100107496","doi":"10.1115/es2011-54660","title":"Effects of Electrical Contact Resistance on External Energy Losses in Lithium-Ion Battery Packs for Hybrid and Electric Vehicles","year":2011,"lang":"en","type":"article","venue":"ASME 2011 5th International Conference on Energy Sustainability, Parts A, B, and C","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Battery (electricity); Electrode; Contact resistance; Materials science; Thermal runaway; Ohmic contact; Electrical engineering; Joule heating; Ion; Lithium-ion battery; Lithium (medication); Nuclear engineering; Optoelectronics; Composite material; Power (physics); Chemistry; Engineering; Thermodynamics","score_opus":0.019693507039276106,"score_gpt":0.2686680946733845,"score_spread":0.24897458763410837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100107496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893829,0.0017119726,0.007060093,0.000059839476,0.000043366363,0.000016145037,0.000097361095,0.0001977078,0.0014305158],"genre_scores_gemma":[0.9985298,0.00026611614,0.00044022416,0.000011170759,0.0000064526225,0.000005872558,0.00006717141,0.000027430118,0.00064574677],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995414,0.000058418154,0.000027066988,0.000057553123,0.0002645437,0.000051129817],"domain_scores_gemma":[0.9991179,0.00035923708,0.00014487213,0.00010120622,0.00025382527,0.000023021623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039670206,0.00032908932,0.00040162003,0.00034079351,0.00023661584,0.0006326613,0.00041930744,0.0003276296,0.0010594437],"category_scores_gemma":[0.0016569849,0.0002455806,0.00024045458,0.00034378652,0.0002794069,0.0009384759,0.00033310216,0.00031289432,0.00044502516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012636635,0.0002080035,0.016499955,0.0005527433,0.00011334965,0.0012096454,0.0005155951,0.027317373,0.8569238,0.00040784985,0.0012613374,0.09372673],"study_design_scores_gemma":[0.000020358535,0.0015069341,0.042028278,0.00003798929,0.00015055393,0.0007569717,0.0003864027,0.073655285,0.8770026,0.00033605396,0.004079854,0.00003868518],"about_ca_topic_score_codex":0.0003874994,"about_ca_topic_score_gemma":0.0006037034,"teacher_disagreement_score":0.0010594437,"about_ca_system_score_codex":0.0002820518,"about_ca_system_score_gemma":0.000092576905,"threshold_uncertainty_score":0.0035442114},"labels":[],"label_agreement":null},{"id":"W2100157147","doi":"10.1016/j.jpowsour.2012.03.065","title":"Modelling the impact of variations in electrode manufacturing on lithium-ion battery modules","year":2012,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":193,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Resources Canada","keywords":"Electrode; Battery (electricity); Lithium (medication); Lithium-ion battery; Work (physics); Ion; Fade; Materials science; Voltage; Automotive engineering; State of charge; Computer science; Reliability engineering; Electrical engineering; Chemistry; Engineering; Mechanical engineering; Physics","score_opus":0.018008705425324307,"score_gpt":0.2725956684370599,"score_spread":0.2545869630117356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100157147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95483834,0.0006037181,0.030931264,0.0003388871,0.0001162789,0.0000506155,0.000616302,0.0003099493,0.012194638],"genre_scores_gemma":[0.99707866,0.00008499826,0.0010643108,0.000017177694,0.0000048308602,0.000011285773,0.00006741091,0.00002852458,0.0016427974],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997514,0.00005563721,0.000014254736,0.00005034789,0.000057652072,0.00007062885],"domain_scores_gemma":[0.998744,0.000830343,0.00014601846,0.00007895321,0.0001600466,0.000040689407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039592094,0.00072740926,0.0005985156,0.00031956442,0.00032522494,0.0009432997,0.0013294745,0.0017430874,0.002943848],"category_scores_gemma":[0.0023730427,0.0005735972,0.0006990017,0.000516076,0.00047794176,0.00086320145,0.0003659338,0.0005929651,0.00036103826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066858025,0.00002957668,0.0004986527,0.000026415904,0.000009863835,0.00005020484,0.000009416357,0.9944733,0.0033796933,0.00022334924,0.00008558737,0.0011471636],"study_design_scores_gemma":[0.000009175006,0.000053856566,0.000586876,0.0000027223682,0.000012378968,0.000009942958,0.000009361787,0.9959117,0.003052284,0.00018229417,0.00016242026,0.0000069967186],"about_ca_topic_score_codex":0.009306398,"about_ca_topic_score_gemma":0.006810556,"teacher_disagreement_score":0.009306398,"about_ca_system_score_codex":0.0010877065,"about_ca_system_score_gemma":0.00048051265,"threshold_uncertainty_score":0.01850444},"labels":[],"label_agreement":null},{"id":"W2101124154","doi":"10.1109/apec.2013.6520539","title":"An efficient soft switched DC-DC converter for electric vehicles","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Duty cycle; Boost converter; Traction (geology); Ćuk converter; Voltage; Inductor; Forward converter; Buck–boost converter; Battery (electricity); Electric vehicle; Electrical engineering; Computer science; Control theory (sociology); Automotive engineering; Engineering; Power (physics); Physics; Control (management); Mechanical engineering","score_opus":0.01334980196073855,"score_gpt":0.2582757243239163,"score_spread":0.24492592236317778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101124154","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046534173,0.0028896385,0.9079274,0.0003702109,0.0005148486,0.00019028368,0.00014818614,0.0018023162,0.039623007],"genre_scores_gemma":[0.7462013,0.0026059612,0.20105268,0.00032235443,0.00022555489,0.0001610771,0.00025119932,0.00013161144,0.049048208],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998411,0.000015857935,0.0000065855083,0.000018365517,0.00010929263,0.000008837405],"domain_scores_gemma":[0.99993503,0.000011283617,0.000004830499,0.000010044206,0.00003409158,0.000004655158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012738233,0.00030875902,0.00024538866,0.00029959576,0.0002515163,0.0005919241,0.0004762103,0.00027974093,0.003146618],"category_scores_gemma":[0.00017824411,0.00013435479,0.00015249167,0.00033172962,0.00016640665,0.00051449786,0.00021181062,0.00054464163,0.0012144175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001920686,0.00015430718,0.0003349321,0.00053548394,0.00003630728,0.00024990816,0.00010172932,0.010276532,0.5304559,0.032762256,0.006211293,0.41868934],"study_design_scores_gemma":[0.00019423173,0.00084560167,0.0018370342,0.00012907357,0.00008610782,0.0016611256,0.000085815394,0.28316653,0.4690079,0.013603911,0.22931165,0.00007101934],"about_ca_topic_score_codex":0.00021380457,"about_ca_topic_score_gemma":0.0005369958,"teacher_disagreement_score":0.003146618,"about_ca_system_score_codex":0.00022970089,"about_ca_system_score_gemma":0.00029174756,"threshold_uncertainty_score":0.010526478},"labels":[],"label_agreement":null},{"id":"W2102944604","doi":"10.1109/tie.2009.2032195","title":"Power-Electronics-Based Solutions for Plug-in Hybrid Electric Vehicle Energy Storage and Management Systems","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":365,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Energy storage; Battery (electricity); Energy management; Automotive engineering; Power electronics; State of charge; Electric vehicle; Power management; Hybrid power; Engineering; Hybrid vehicle; Converters; Electronics; Power (physics); Plug-in; Computer science; Electrical engineering; Control engineering; Energy (signal processing); Voltage","score_opus":0.021388896030114683,"score_gpt":0.24508249853432568,"score_spread":0.223693602504211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102944604","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006413756,0.005603126,0.9305833,0.0010584518,0.00048752467,0.00015856554,0.00009275272,0.0011141929,0.0544884],"genre_scores_gemma":[0.6010397,0.014330369,0.30547446,0.0010708581,0.0006701664,0.00042912457,0.00046138206,0.00018782871,0.07633609],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998851,0.000017970702,0.000009467058,0.000019494028,0.000056270404,0.000011794378],"domain_scores_gemma":[0.99993694,0.00000992768,0.000006734023,0.000011722837,0.00003065556,0.0000041456065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014102932,0.00054205785,0.00028141093,0.00029658162,0.00025791617,0.0009329515,0.0009402924,0.00063945644,0.007213356],"category_scores_gemma":[0.00025239767,0.00017509426,0.00020124964,0.0003188684,0.00017169853,0.0009993536,0.0006141701,0.00070869044,0.002422597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001157846,0.00026336283,0.00035583752,0.0010340181,0.00006635989,0.000477891,0.00015494962,0.05852179,0.04801314,0.18015905,0.020835506,0.69000226],"study_design_scores_gemma":[0.00008777022,0.00054122595,0.0007635356,0.00029663823,0.000070985,0.00088642153,0.00021942513,0.38598898,0.030739287,0.121868715,0.4584982,0.000038914604],"about_ca_topic_score_codex":0.00023953791,"about_ca_topic_score_gemma":0.00054568244,"teacher_disagreement_score":0.007213356,"about_ca_system_score_codex":0.00020580755,"about_ca_system_score_gemma":0.00016960551,"threshold_uncertainty_score":0.02413106},"labels":[],"label_agreement":null},{"id":"W2103855185","doi":"10.1109/tie.2009.2032196","title":"A Novel Control Technique for a Switched-Capacitor-Converter-Based Hybrid Electric Vehicle Energy Storage System","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Ripple; Switched capacitor; Capacitor; Buck converter; Buck–boost converter; Controller (irrigation); Waveform; Energy storage; Electronic engineering; Boost converter; Control theory (sociology); Computer science; Engineering; Power (physics); Voltage; Electrical engineering; Control (management); Physics","score_opus":0.019331367017157347,"score_gpt":0.23566506264168924,"score_spread":0.2163336956245319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103855185","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039514568,0.0006665549,0.9462511,0.00022799351,0.00020324823,0.00013207024,0.000055011293,0.0011209911,0.011828402],"genre_scores_gemma":[0.8793823,0.00048640827,0.10784501,0.0001642155,0.000104533734,0.00016533528,0.00005768284,0.00004882014,0.011745756],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991655,0.000008797817,0.0000050438366,0.000014500181,0.00004789961,0.0000072737166],"domain_scores_gemma":[0.999944,0.000011884624,0.00000661549,0.000006697455,0.000026207274,0.0000047161057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011057901,0.00023898881,0.00024188595,0.00019297308,0.00033689,0.0005003399,0.00056307635,0.00023649496,0.002101188],"category_scores_gemma":[0.0001311967,0.00013221572,0.00014533098,0.00016749871,0.00021496501,0.00030400752,0.00021218194,0.0003726711,0.00035260967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023929458,0.00010278455,0.0003370796,0.00042274978,0.000070050075,0.00035284832,0.00022846152,0.029076632,0.52620125,0.030693572,0.003701705,0.40857348],"study_design_scores_gemma":[0.00016511297,0.00076559343,0.0010687945,0.000070797076,0.00010820022,0.0010114734,0.00011241604,0.70641565,0.21668653,0.007241035,0.06628478,0.00006957966],"about_ca_topic_score_codex":0.0008909336,"about_ca_topic_score_gemma":0.0017772297,"teacher_disagreement_score":0.002101188,"about_ca_system_score_codex":0.00019878792,"about_ca_system_score_gemma":0.00025844318,"threshold_uncertainty_score":0.0070291758},"labels":[],"label_agreement":null},{"id":"W2104030200","doi":"10.1007/978-3-319-07896-0_41","title":"A Comparative Life Cycle Assessment of Compressed Natural Gas and Diesel Powered Refuse Collection Vehicles","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Surrey Place Centre; University of British Columbia; Simon Fraser University","funders":"","keywords":"Compressed natural gas; Greenhouse gas; Diesel fuel; Life-cycle assessment; Gasoline; Environmental science; Waste management; Environmental economics; Natural gas; Automotive engineering; Environmental engineering; Business; Engineering; Economics; Production (economics)","score_opus":0.0247328128253045,"score_gpt":0.29709217461503934,"score_spread":0.27235936178973486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104030200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9465582,0.0067899423,0.0091456855,0.00014305553,0.000069621296,0.00015123011,0.0024957098,0.00017488142,0.03447158],"genre_scores_gemma":[0.9767719,0.0021975993,0.0018295634,0.000028972145,0.000011298329,0.000036910307,0.0017342694,0.000057377652,0.017332064],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997075,0.000037063077,0.000009654191,0.000030863815,0.00018040265,0.000034426215],"domain_scores_gemma":[0.999705,0.00008406838,0.00001437988,0.000012157811,0.00017304743,0.0000112637135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044296947,0.00048255964,0.00044725917,0.0015234468,0.00040106353,0.00068129355,0.0006842095,0.00056256884,0.0022033616],"category_scores_gemma":[0.00043400557,0.00016294618,0.00064224895,0.000968583,0.00019155911,0.00086482405,0.00026858295,0.00028056197,0.00047412334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004094141,0.00059547165,0.02558364,0.0014286598,0.0003028765,0.000656744,0.0004823307,0.31106678,0.14607185,0.006984236,0.009270187,0.49346316],"study_design_scores_gemma":[0.0001411126,0.008744125,0.14991611,0.00038149976,0.0005673609,0.0007757471,0.0018329297,0.43903747,0.32433036,0.00814544,0.06584529,0.00028253635],"about_ca_topic_score_codex":0.019187607,"about_ca_topic_score_gemma":0.033946708,"teacher_disagreement_score":0.019187607,"about_ca_system_score_codex":0.0021698868,"about_ca_system_score_gemma":0.0007177127,"threshold_uncertainty_score":0.0381518},"labels":[],"label_agreement":null},{"id":"W2106923534","doi":"10.1109/pes.2011.6039406","title":"Energy management &amp; scheduling in a fast charging station for PHEV batteries","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; McGill University","funders":"","keywords":"Supercapacitor; Battery (electricity); Energy storage; Trickle charging; Flywheel; Automotive engineering; State of charge; Energy management; Electrical engineering; Environmental science; Computer science; Engineering; Power (physics); Energy (signal processing); Capacitance; Electrode; Physics","score_opus":0.0386424102353647,"score_gpt":0.26927911147162437,"score_spread":0.23063670123625968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106923534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66810066,0.0002743205,0.32074463,0.0003200407,0.00007517949,0.00011795538,0.00015158702,0.0003462183,0.009869499],"genre_scores_gemma":[0.99394727,0.000032507003,0.0044891676,0.000008258263,0.0000056221807,0.000015574526,0.000025483108,0.000007960866,0.0014682219],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984133,0.000040117888,0.0000058990313,0.000029733581,0.000028495604,0.00005449751],"domain_scores_gemma":[0.999816,0.000082636725,0.000025204388,0.0000135994715,0.000028380626,0.000034299515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035010133,0.00031794742,0.00042517288,0.00021403443,0.00046861012,0.0007780719,0.0005426596,0.00047809829,0.002862093],"category_scores_gemma":[0.0005039662,0.000195431,0.0002112159,0.0003097925,0.0002579609,0.0006552347,0.0003342442,0.00029831886,0.00023431538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003680783,0.00010685717,0.0012283889,0.00004936883,0.00002289392,0.0002425997,0.00007647006,0.96235657,0.008938534,0.0036807093,0.0007075067,0.022222016],"study_design_scores_gemma":[0.000031268555,0.00013285203,0.0006282195,0.0000021830606,0.0000067275964,0.000030190933,0.00006774128,0.9941935,0.0024283112,0.0016386053,0.00083337346,0.0000069313364],"about_ca_topic_score_codex":0.00400315,"about_ca_topic_score_gemma":0.0031913922,"teacher_disagreement_score":0.00400315,"about_ca_system_score_codex":0.00046928416,"about_ca_system_score_gemma":0.00066446693,"threshold_uncertainty_score":0.009574652},"labels":[],"label_agreement":null},{"id":"W2108106099","doi":"10.1109/iecon.2010.5675402","title":"Efficiency modeling and comparison of switched capacitor, Luo, and interleaved switched capacitor converters for electric vehicle Energy storage systems","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Switched capacitor; Converters; Energy storage; Capacitor; Electric vehicle; Voltage; Electrical engineering; Computer science; Electronic engineering; Power (physics); Automotive engineering; Engineering; Physics","score_opus":0.017521661768783243,"score_gpt":0.2563760234315113,"score_spread":0.23885436166272803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108106099","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34218025,0.0011249961,0.617397,0.00016302986,0.00005047189,0.00010125602,0.00022950828,0.0009812007,0.037772305],"genre_scores_gemma":[0.9900339,0.00021938395,0.006332591,0.000013536641,0.0000069109396,0.000038417456,0.00006336252,0.000043929627,0.0032479777],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977475,0.000044874247,0.000008531043,0.000023129658,0.00012987517,0.00001881409],"domain_scores_gemma":[0.999798,0.000088013,0.000015113689,0.000023050568,0.000071321745,0.0000045176016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032140437,0.0005071106,0.00043171755,0.00043967066,0.00025671526,0.0007488824,0.0007689602,0.000358041,0.001659748],"category_scores_gemma":[0.00059708464,0.00020247356,0.00048524304,0.00045440104,0.00021303234,0.00083149254,0.0001826271,0.00029626398,0.00041879527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017387302,0.000053786924,0.0010358465,0.000088755194,0.000038027396,0.00008921923,0.00007574567,0.93645006,0.016103517,0.0070926095,0.0004318652,0.038366646],"study_design_scores_gemma":[0.0000047788985,0.000039749957,0.00035128195,0.0000044443454,0.0000070434157,0.000020204347,0.000012762398,0.992827,0.0054433355,0.0006595066,0.0006252351,0.000004702265],"about_ca_topic_score_codex":0.0034126444,"about_ca_topic_score_gemma":0.0023368374,"teacher_disagreement_score":0.0034126444,"about_ca_system_score_codex":0.00075497705,"about_ca_system_score_gemma":0.00036995692,"threshold_uncertainty_score":0.006785512},"labels":[],"label_agreement":null},{"id":"W2108556597","doi":"10.1109/tmech.2006.878543","title":"Design and evaluation of a micro-fuel-cell-based power system for a mobile robot","year":2006,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Battery (electricity); Proton exchange membrane fuel cell; Fuel cells; Mechatronics; Automotive engineering; Robot; Lead–acid battery; Mobile robot; Power (physics); Hydrogen fuel; Electrolyte; Engineering; Computer science; Electrical engineering; Process engineering; Simulation; Chemical engineering; Chemistry; Artificial intelligence; Electrode","score_opus":0.02024752425130368,"score_gpt":0.26662217410825634,"score_spread":0.24637464985695265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108556597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50394535,0.0017896962,0.4630615,0.0008882341,0.0005524562,0.0027056898,0.00054632616,0.003777514,0.022733275],"genre_scores_gemma":[0.92360467,0.00047350395,0.06472856,0.00011089449,0.000032190925,0.0005581331,0.00022642915,0.000070243754,0.010195422],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978274,0.00002709315,0.000015275824,0.00004207863,0.000111053734,0.000021792186],"domain_scores_gemma":[0.9997272,0.000039945415,0.000020571415,0.000018333154,0.00016727913,0.000026616288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003066676,0.0003742911,0.0004056811,0.00032824112,0.0004957592,0.00064163527,0.0010655533,0.0005277123,0.0033541291],"category_scores_gemma":[0.0004583767,0.0001918545,0.00017785685,0.00016969886,0.00027037627,0.00049532723,0.00021340253,0.00032507148,0.00095203484],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009491166,0.000722511,0.0032628109,0.0019154096,0.00018306509,0.0009781555,0.00049669604,0.066842794,0.6174557,0.004992644,0.0051119695,0.29708922],"study_design_scores_gemma":[0.0006366464,0.009116417,0.0090621365,0.00012495913,0.0002859214,0.001278722,0.00036859218,0.32493976,0.56862944,0.0012961212,0.084159054,0.00010223143],"about_ca_topic_score_codex":0.0016975186,"about_ca_topic_score_gemma":0.0020461758,"teacher_disagreement_score":0.0033541291,"about_ca_system_score_codex":0.00043222093,"about_ca_system_score_gemma":0.0007730217,"threshold_uncertainty_score":0.011220694},"labels":[],"label_agreement":null},{"id":"W2108665373","doi":"10.1149/ma2010-02/6/345","title":"SiO<sub>x</sub> and Si Electrode Materials for Li-Ion and Li-Alloy Air Batteries","year":2010,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Electrode; Materials science; Alloy; Ion; Metallurgy; Chemical engineering; Chemistry; Engineering; Physical chemistry; Organic chemistry","score_opus":0.00917100643752466,"score_gpt":0.2388706137124364,"score_spread":0.22969960727491173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108665373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9136474,0.039423697,0.008435484,0.00082263787,0.0008198728,0.00017396128,0.0006970799,0.00028796616,0.035691816],"genre_scores_gemma":[0.9538833,0.016191024,0.0063837874,0.000097031196,0.00012192069,0.000057539048,0.00061236386,0.0000390706,0.02261405],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99996376,0.000004395629,0.0000031316897,0.000004051266,0.000020093195,0.000004545449],"domain_scores_gemma":[0.9999747,0.000008051086,0.0000028023562,0.000002344135,0.000008458212,0.0000035280566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015304652,0.00021976807,0.00016743307,0.00014431696,0.00013698396,0.00027289017,0.00025159592,0.00022136488,0.0054265345],"category_scores_gemma":[0.00013837093,0.000113252514,0.00014758648,0.00011608836,0.00013234261,0.00047902024,0.00013671059,0.00016564567,0.0008044503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084608764,0.00007804161,0.00071487366,0.0010144109,0.000027414415,0.00024140278,0.000050218776,0.0018886303,0.9470887,0.005068058,0.0026802588,0.040301964],"study_design_scores_gemma":[0.00014464097,0.0010124756,0.003773709,0.00009821858,0.00006619382,0.00043606147,0.00018417585,0.009741193,0.9323313,0.0029323914,0.04925955,0.00002018158],"about_ca_topic_score_codex":0.00035907194,"about_ca_topic_score_gemma":0.00101505,"teacher_disagreement_score":0.0054265345,"about_ca_system_score_codex":0.00015043236,"about_ca_system_score_gemma":0.00013966617,"threshold_uncertainty_score":0.018153548},"labels":[],"label_agreement":null},{"id":"W2108991943","doi":"10.1109/vppc.2008.4677706","title":"A novel design and feasibility analysis of a fuel cell plug-in hybrid electric vehicle","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Automotive engineering; Miles per gallon gasoline equivalent; Powertrain; Electric vehicle; Commercialization; Hybrid vehicle; Propulsion; Driving range; Engineering; Green vehicle; Computer science; Fuel efficiency; Power (physics); Torque","score_opus":0.0395031420483229,"score_gpt":0.2667526943086401,"score_spread":0.22724955226031723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108991943","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12499817,0.0008335563,0.7995109,0.00037341373,0.00015347304,0.0003850497,0.00019764356,0.00061274815,0.07293502],"genre_scores_gemma":[0.94628465,0.00032156045,0.041476153,0.00003956025,0.000023040657,0.00020690249,0.00010637698,0.00003391392,0.011507872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984574,0.00002556166,0.0000032994917,0.000028549071,0.00007414323,0.000022683187],"domain_scores_gemma":[0.9999163,0.000024466077,0.000011095281,0.0000069825865,0.000034938847,0.000006211282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019549082,0.0006242242,0.0003907454,0.0003326788,0.00042214515,0.0008945926,0.00079220394,0.00078231824,0.0042556617],"category_scores_gemma":[0.00026395457,0.00027404912,0.00060823734,0.000140998,0.00025401227,0.00043062976,0.00028680812,0.0003571262,0.00066714437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024352841,0.00014561522,0.0019644112,0.00063171703,0.00008596371,0.0009315522,0.00017943392,0.7675331,0.11102227,0.023381282,0.0025028014,0.09137832],"study_design_scores_gemma":[0.00001622517,0.0005078198,0.00061993074,0.000021821821,0.000041048177,0.00021570417,0.000063242245,0.9711792,0.015587406,0.00186442,0.00986344,0.000019776324],"about_ca_topic_score_codex":0.002019805,"about_ca_topic_score_gemma":0.0017038301,"teacher_disagreement_score":0.0042556617,"about_ca_system_score_codex":0.00047399572,"about_ca_system_score_gemma":0.0006514169,"threshold_uncertainty_score":0.014236569},"labels":[],"label_agreement":null},{"id":"W2109161851","doi":"10.1109/tie.2010.2050750","title":"Design, Testing, and Validation of a Simplified Control Scheme for a Novel Plug-In Hybrid Electric Vehicle Battery Cell Equalizer","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":223,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Lithium iron phosphate; Voltage; Battery (electricity); Automotive engineering; Hybrid vehicle; Electrical engineering; Electric vehicle; Propulsion; Engineering; Computer science; Power (physics)","score_opus":0.05013182645909721,"score_gpt":0.26997133883090585,"score_spread":0.21983951237180865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109161851","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37463245,0.00022858047,0.61647826,0.00039362407,0.00033917004,0.0010782353,0.00024847055,0.0023626625,0.004238528],"genre_scores_gemma":[0.94129264,0.000060684408,0.056388266,0.00007455729,0.00003002893,0.00021041898,0.00008178652,0.000033347584,0.0018281484],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999134,0.00018756963,0.0000831499,0.00017119569,0.0003262241,0.00009787068],"domain_scores_gemma":[0.9987231,0.0004861933,0.00012598543,0.00023808789,0.00037876042,0.000047892656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009211268,0.0004713224,0.00053235993,0.00035244768,0.0003469715,0.00078643596,0.001342748,0.0006521064,0.0023094963],"category_scores_gemma":[0.0023603758,0.00020249536,0.00023589212,0.00016599779,0.00056930963,0.0007104926,0.00034140275,0.00044735405,0.00036994708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030758108,0.0011045844,0.00468818,0.0010108792,0.00022151328,0.0004452972,0.00061613205,0.09169503,0.64885503,0.011125097,0.002253261,0.2349091],"study_design_scores_gemma":[0.00059771806,0.0037064857,0.0038513115,0.000030818028,0.0001425094,0.00034801266,0.000062580446,0.45358822,0.52807856,0.0006855018,0.008846207,0.000061997525],"about_ca_topic_score_codex":0.0011976617,"about_ca_topic_score_gemma":0.0009344981,"teacher_disagreement_score":0.0023094963,"about_ca_system_score_codex":0.0005718553,"about_ca_system_score_gemma":0.0004956602,"threshold_uncertainty_score":0.0077260733},"labels":[],"label_agreement":null},{"id":"W2110756446","doi":"10.1007/s10800-006-9219-7","title":"Mathematical model to evaluate the ohmic resistance caused by the presence of a large number of bubbles in Hall-Héroult cells","year":2007,"lang":"en","type":"article","venue":"Journal of Applied Electrochemistry","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Finite element method; Mechanics; Bubble; Current (fluid); Electrolyte; Voltage drop; Laplace's equation; Ohmic contact; Laplace transform; Overvoltage; Voltage; Mathematical model; Contact resistance; Mathematics; Thermodynamics; Materials science; Chemistry; Physics; Mathematical analysis; Electrical engineering; Engineering; Electrode; Boundary value problem; Composite material","score_opus":0.009876628954356734,"score_gpt":0.29098508344354046,"score_spread":0.2811084544891837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110756446","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030830242,0.0012042561,0.94168353,0.0007926386,0.00021627682,0.00011897603,0.0002604553,0.0003722702,0.024521304],"genre_scores_gemma":[0.9381028,0.0008421381,0.028883873,0.00031059602,0.000120592915,0.00033694884,0.00017284058,0.0001197234,0.031110644],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976057,0.00006857354,0.000012090959,0.000049412683,0.00007778891,0.000031641976],"domain_scores_gemma":[0.9993678,0.00037766993,0.0000515704,0.000031810865,0.00015239611,0.000018795083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068225706,0.0006359381,0.00096760667,0.00065504864,0.0005919834,0.001164225,0.0014295003,0.0020522107,0.0039515034],"category_scores_gemma":[0.001916448,0.00037128755,0.0006713617,0.0004584416,0.00074802263,0.001430611,0.0007728784,0.0011211204,0.000576256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040304338,0.0000358181,0.00041785068,0.00014817648,0.000029659725,0.00017929764,0.00012120366,0.9453299,0.007025727,0.039364062,0.000984119,0.006323818],"study_design_scores_gemma":[0.0000028569946,0.000011215517,0.000057206136,0.0000045270594,0.000005254647,0.000016566986,0.000008688205,0.99703383,0.00033631615,0.002171872,0.0003471641,0.0000044846856],"about_ca_topic_score_codex":0.0043936023,"about_ca_topic_score_gemma":0.0035349962,"teacher_disagreement_score":0.0043936023,"about_ca_system_score_codex":0.0011406803,"about_ca_system_score_gemma":0.0006368807,"threshold_uncertainty_score":0.0132190585},"labels":[],"label_agreement":null},{"id":"W2110846073","doi":"10.4271/2014-01-1853","title":"Evaluation of Air Conditioning Impact on the Electric Vehicle Range and Li-Ion Battery Life","year":2014,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Air conditioning; Battery (electricity); Electric vehicle; Automotive engineering; Range (aeronautics); Electrical engineering; Electric-vehicle battery; Environmental science; Aeronautics; Engineering; Engineering physics; Aerospace engineering; Mechanical engineering; Physics; Power (physics)","score_opus":0.019365453143128902,"score_gpt":0.28338804800344286,"score_spread":0.264022594860314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110846073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99483335,0.00029660205,0.0022402988,0.000023140039,0.000016406366,0.000019087303,0.00027032208,0.00011220392,0.002188611],"genre_scores_gemma":[0.99830556,0.000118794225,0.0003769806,0.0000063030307,0.0000025446636,0.0000068667932,0.00018976875,0.000018095801,0.00097513694],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979943,0.000024176643,0.0000106706075,0.000032832388,0.00009843851,0.000034367084],"domain_scores_gemma":[0.9995141,0.00018944553,0.000029258725,0.000036953,0.00020572124,0.000024408702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032875943,0.00038205,0.00034306638,0.0004102681,0.00020580126,0.0004003627,0.0003269662,0.00034725506,0.0022501275],"category_scores_gemma":[0.00088540406,0.00011599011,0.00037109968,0.00027730138,0.00018843435,0.0006196107,0.0002679632,0.00021740176,0.00044464288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00438004,0.0008048647,0.08394412,0.0006331826,0.00019615932,0.0007202558,0.00028753123,0.3710198,0.40391,0.00075585203,0.0015116391,0.13183656],"study_design_scores_gemma":[0.00006383957,0.0045247003,0.08747765,0.000048069393,0.0003080096,0.00035106542,0.00042904177,0.34711745,0.55549705,0.000400988,0.0037019076,0.00008018663],"about_ca_topic_score_codex":0.0038209592,"about_ca_topic_score_gemma":0.0035840075,"teacher_disagreement_score":0.0038209592,"about_ca_system_score_codex":0.00037460827,"about_ca_system_score_gemma":0.00021901855,"threshold_uncertainty_score":0.0075974464},"labels":[],"label_agreement":null},{"id":"W2110900010","doi":"10.1109/tpel.2013.2260562","title":"Technical Considerations on Power Conversion for Electric and Plug-in Hybrid Electric Vehicle Battery Charging in Photovoltaic Installations","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Photovoltaic system; Renewable energy; Automotive engineering; Electricity; Battery (electricity); Stand-alone power system; Electric vehicle; Electricity generation; Electrical engineering; Energy storage; Computer science; Engineering; Power (physics); Distributed generation","score_opus":0.009311594096387094,"score_gpt":0.23401167386426353,"score_spread":0.22470007976787643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110900010","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07328329,0.0034834838,0.68463564,0.004349207,0.00050266326,0.00028745996,0.00032866516,0.0007760485,0.23235354],"genre_scores_gemma":[0.8932808,0.0032080484,0.065204926,0.00050595583,0.00025261278,0.00020610422,0.00019697065,0.0002628301,0.036881812],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994155,0.00014767429,0.000031963955,0.00008271928,0.00025379486,0.00006836701],"domain_scores_gemma":[0.99946433,0.00031164658,0.0000322326,0.000046460074,0.00013461566,0.000010690556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005967521,0.00047635057,0.00040041082,0.00041116905,0.0008312898,0.0019310216,0.0009051019,0.00087151263,0.011337808],"category_scores_gemma":[0.0014863139,0.00028392696,0.00037666035,0.00041640594,0.00054263294,0.0019030102,0.00051452656,0.0008278385,0.0019203869],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028312855,0.00023555424,0.0029263648,0.001661673,0.00006859119,0.0013223611,0.0004780769,0.17645055,0.20101534,0.28525716,0.01278777,0.3175134],"study_design_scores_gemma":[0.00009174698,0.0012071782,0.009284079,0.0006389789,0.00018551046,0.005007467,0.0019241439,0.3352618,0.19732207,0.17990418,0.26901403,0.00015894132],"about_ca_topic_score_codex":0.00065607356,"about_ca_topic_score_gemma":0.0027924944,"teacher_disagreement_score":0.011337808,"about_ca_system_score_codex":0.0007167998,"about_ca_system_score_gemma":0.0005088608,"threshold_uncertainty_score":0.03792876},"labels":[],"label_agreement":null},{"id":"W2111028597","doi":"10.1039/c5ee00111k","title":"Electrochemical-acoustic time of flight: in operando correlation of physical dynamics with battery charge and health","year":2015,"lang":"en","type":"article","venue":"Energy & Environmental Science","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":285,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Division of Civil, Mechanical and Manufacturing Innovation; Advanced Research Projects Agency; U.S. Department of Energy; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Princeton University; Ryerson University; Advanced Research Projects Agency - Energy; University of Michigan","keywords":"Battery (electricity); Electrochemistry; Charge (physics); State of charge; Materials science; Physics; Chemistry; Electrode; Physical chemistry; Thermodynamics; Power (physics)","score_opus":0.005702755910289593,"score_gpt":0.21661218650832584,"score_spread":0.21090943059803624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111028597","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47380134,0.0029122562,0.49349618,0.0008143932,0.001030294,0.00025875107,0.0039543556,0.0029821186,0.020750279],"genre_scores_gemma":[0.89639825,0.0010425254,0.09255376,0.00017619212,0.0001866555,0.0001281176,0.001052574,0.00016778141,0.008294115],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998524,0.000018759096,0.000008395301,0.000037186746,0.00007081762,0.000012517387],"domain_scores_gemma":[0.9997571,0.000102726444,0.00004715609,0.000019691224,0.000055055763,0.000018251709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025734823,0.00051307713,0.00017731806,0.00065474905,0.00015363314,0.00039007992,0.00049394625,0.00049642834,0.0057623554],"category_scores_gemma":[0.0010269886,0.000120505,0.00015033901,0.0005971145,0.00023036434,0.0006342681,0.00029492084,0.00039317657,0.00086558587],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065007387,0.00014978807,0.008830665,0.00031862312,0.000041038136,0.00042382444,0.00026641335,0.0024690123,0.8410032,0.0031346546,0.00372056,0.13899226],"study_design_scores_gemma":[0.000037308597,0.00078407617,0.07448809,0.00007359784,0.00008315735,0.0033858493,0.00052312337,0.097913586,0.79357564,0.0038167369,0.025172094,0.0001467965],"about_ca_topic_score_codex":0.0006858426,"about_ca_topic_score_gemma":0.0010950441,"teacher_disagreement_score":0.0057623554,"about_ca_system_score_codex":0.000112206166,"about_ca_system_score_gemma":0.00012311063,"threshold_uncertainty_score":0.019277036},"labels":[],"label_agreement":null},{"id":"W2111479853","doi":"10.1109/vppc.2005.1554614","title":"DC/DC Converters for Fuel Cell Powered Hybrid Electric Vehicle","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Converters; Propulsion; Automotive industry; Automotive engineering; Electric vehicle; Fuel cells; Power electronics; Network topology; Voltage; Power (physics); Computer science; Electrical engineering; DC motor; Engineering; Topology (electrical circuits)","score_opus":0.010531803517915524,"score_gpt":0.2392222593898426,"score_spread":0.22869045587192707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111479853","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029800972,0.1165519,0.5523675,0.002938532,0.0031698444,0.00061484176,0.00066190783,0.003656093,0.29023832],"genre_scores_gemma":[0.58648753,0.072181426,0.16304627,0.0012303296,0.0013544422,0.00039849855,0.0010873548,0.00021797676,0.17399608],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999856,0.000017764409,0.000007509302,0.00002215443,0.00008867715,0.00000787005],"domain_scores_gemma":[0.9999157,0.000013680779,0.0000041506137,0.000011652591,0.00005034824,0.000004456995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013772605,0.00040194287,0.0002724885,0.00043856475,0.00037919055,0.0009959656,0.0004817558,0.00072128023,0.010771939],"category_scores_gemma":[0.00024363158,0.00016074786,0.00017701095,0.0005988471,0.00019501608,0.00062799256,0.00024893138,0.00084624795,0.0039815665],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019137889,0.00018285638,0.00040290316,0.0013193625,0.00006348002,0.00063686527,0.00016082617,0.025426783,0.12686454,0.108572505,0.046867363,0.68931115],"study_design_scores_gemma":[0.00008779595,0.00029221253,0.0007682639,0.0003067571,0.00005791171,0.0012165854,0.000104280356,0.07092942,0.07479933,0.0480091,0.80335784,0.00007044491],"about_ca_topic_score_codex":0.00088297273,"about_ca_topic_score_gemma":0.00088792207,"teacher_disagreement_score":0.010771939,"about_ca_system_score_codex":0.00033888558,"about_ca_system_score_gemma":0.00026395358,"threshold_uncertainty_score":0.036035717},"labels":[],"label_agreement":null},{"id":"W2112029543","doi":"10.1109/iciea.2015.7334139","title":"Effective voltage balance control for three-level bidirectional dc-dc converter based electric vehicle fast charger","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Voltage; Modulation (music); Power (physics); Power Balance; Computer science; Electronic engineering; Control theory (sociology); Electronic circuit; Electric vehicle; Electrical engineering; Engineering; Control (management); Physics","score_opus":0.02159388187028684,"score_gpt":0.2552043559642883,"score_spread":0.23361047409400146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112029543","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.077954285,0.0009905979,0.90489036,0.00020033866,0.00015894955,0.00011272273,0.00004814951,0.0009152429,0.014729353],"genre_scores_gemma":[0.9761786,0.0003126337,0.020246863,0.000052804753,0.00003705936,0.000041333835,0.000026664387,0.000021134423,0.0030829497],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987066,0.000017042668,0.000008376564,0.00001925942,0.00006941658,0.000015298396],"domain_scores_gemma":[0.9999355,0.000011202156,0.000010748769,0.000006029179,0.00003154109,0.0000049703863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015414819,0.00028830612,0.00027898396,0.00030773602,0.0003420884,0.0005933204,0.00055593014,0.00021165579,0.0017249],"category_scores_gemma":[0.00015172122,0.000093475064,0.00015551544,0.00024251617,0.0001829471,0.00043393503,0.0002517267,0.00034871828,0.0002666619],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041333435,0.00018710064,0.0010724651,0.0005084783,0.000058204576,0.00033137147,0.0002885475,0.057104193,0.32009408,0.0316378,0.0034090297,0.58489543],"study_design_scores_gemma":[0.00016393625,0.0007191761,0.0015813697,0.00006028594,0.00007028514,0.0005142267,0.0001164236,0.86259013,0.10089752,0.0072786277,0.025951775,0.000056267698],"about_ca_topic_score_codex":0.00093257776,"about_ca_topic_score_gemma":0.0012144819,"teacher_disagreement_score":0.0017249,"about_ca_system_score_codex":0.00024819435,"about_ca_system_score_gemma":0.00025134202,"threshold_uncertainty_score":0.0057703853},"labels":[],"label_agreement":null},{"id":"W2112358593","doi":"10.1109/bcaa.2001.905114","title":"Large lithium ion batteries for aerospace and aircraft applications","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"EaglePicher (Canada)","funders":"U.S. Air Force","keywords":"Aerospace; Lithium (medication); Materials science; Electrode; Aerospace materials; Aerospace engineering; Nuclear engineering; Work (physics); Temperature measurement; Ion; Automotive engineering; Environmental science; Mechanical engineering; Engineering; Chemistry; Thermodynamics; Physics","score_opus":0.0181083875223587,"score_gpt":0.2605620793915303,"score_spread":0.2424536918691716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112358593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59563863,0.06556012,0.1546683,0.0037867662,0.0013467665,0.00041603175,0.0012016742,0.00895936,0.1684223],"genre_scores_gemma":[0.881449,0.008852414,0.039759777,0.0005361506,0.00022213215,0.00008914912,0.0011123038,0.00021717073,0.067761846],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998336,0.000017227785,0.0000075604476,0.000023181436,0.00010392251,0.000014556627],"domain_scores_gemma":[0.9997981,0.000041603555,0.000020068037,0.000022996599,0.000090806156,0.000026442813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021901146,0.00035694326,0.00020189212,0.0002627812,0.00029325622,0.00075148,0.0004663086,0.00055593654,0.009845607],"category_scores_gemma":[0.00042050987,0.00013077566,0.00016980551,0.00033982767,0.0002015148,0.0011633642,0.0005296816,0.00032954832,0.0033626568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033500214,0.00008860587,0.0021784646,0.00041404544,0.000021415051,0.00043946283,0.00012698186,0.0017515627,0.72052634,0.005020707,0.011726381,0.2573712],"study_design_scores_gemma":[0.00007777064,0.0014343361,0.007514964,0.00008660672,0.000093441326,0.0028133222,0.00021848518,0.0077183014,0.7006194,0.0061915764,0.2731806,0.00005117907],"about_ca_topic_score_codex":0.00020545482,"about_ca_topic_score_gemma":0.00044988396,"teacher_disagreement_score":0.009845607,"about_ca_system_score_codex":0.00025086701,"about_ca_system_score_gemma":0.00017393245,"threshold_uncertainty_score":0.03293687},"labels":[],"label_agreement":null},{"id":"W2112778554","doi":"10.1149/2.076203jes","title":"Delta Differential Capacity Analysis","year":2012,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Analytical Chemistry (journal); Ion; Lithium (medication); Chemistry; Battery (electricity); Noise (video); Physics; Atomic physics; Thermodynamics; Chromatography; Computer science","score_opus":0.012627659673542171,"score_gpt":0.2467331039787105,"score_spread":0.23410544430516833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112778554","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2464915,0.0038912692,0.58300096,0.00057040906,0.0008811765,0.0009866261,0.016690087,0.019611517,0.12787658],"genre_scores_gemma":[0.82261264,0.001598577,0.119629465,0.000449864,0.000105981926,0.00072673813,0.009888041,0.0017710174,0.04321766],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99871993,0.00006158481,0.000052687537,0.00022024314,0.00082297233,0.00012265639],"domain_scores_gemma":[0.9976616,0.0004251696,0.00014405478,0.00032787392,0.0013683892,0.00007291658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008151652,0.0009256472,0.0005748467,0.004856984,0.00052424544,0.0013612593,0.0019216129,0.0004959804,0.012320342],"category_scores_gemma":[0.0033871874,0.00034368658,0.0005468086,0.003693455,0.0004895101,0.0016880318,0.0011914984,0.0007990957,0.0036825708],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060585263,0.0002951893,0.023355145,0.0013736266,0.00016913687,0.00065408094,0.0006698092,0.0360416,0.11788462,0.04263283,0.04667103,0.7296471],"study_design_scores_gemma":[0.00005988322,0.00048424178,0.022307856,0.00019451369,0.00016088961,0.0018360291,0.0006224569,0.3355672,0.38549715,0.031736143,0.22121355,0.00032009967],"about_ca_topic_score_codex":0.0028729623,"about_ca_topic_score_gemma":0.002552138,"teacher_disagreement_score":0.012320342,"about_ca_system_score_codex":0.001055736,"about_ca_system_score_gemma":0.0009968133,"threshold_uncertainty_score":0.04121566},"labels":[],"label_agreement":null},{"id":"W2114913623","doi":"10.1109/intlec.2002.1048706","title":"Bringing back to life an AT&amp;T Canada venture","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Installation; Battery (electricity); Stock (firearms); Venture capital; Engineering; Service (business); Business; Electrical engineering; Operations management; Finance; Marketing; Mechanical engineering","score_opus":0.01961283026638729,"score_gpt":0.25048512862045347,"score_spread":0.23087229835406617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114913623","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06870906,0.00858122,0.031935826,0.04222434,0.0060508973,0.00084724533,0.0026758169,0.0042608376,0.8347146],"genre_scores_gemma":[0.089391716,0.005207116,0.025981298,0.004571389,0.00033990073,0.00010198489,0.001399878,0.001192459,0.87181425],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974917,0.00008822733,0.00003796246,0.00015290326,0.0018573009,0.00037192914],"domain_scores_gemma":[0.99498886,0.00011851648,0.000089616,0.00031585502,0.003157412,0.0013296623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001197587,0.00056410045,0.00029197236,0.0013405847,0.0040721023,0.005259557,0.0012579083,0.001501672,0.04533718],"category_scores_gemma":[0.0027374732,0.00035792054,0.00059919595,0.0011642062,0.0011406092,0.0020061238,0.0019031098,0.001820216,0.018547641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016203609,0.00021559293,0.0036856332,0.00027917497,0.00002786083,0.001349363,0.0018737417,0.00058912404,0.023512883,0.016877783,0.49620345,0.45522335],"study_design_scores_gemma":[0.000012969952,0.00008431048,0.0018623098,0.000037011294,0.00001080885,0.00046113096,0.0004496527,0.00014501193,0.004030757,0.0007003874,0.99218494,0.000020661311],"about_ca_topic_score_codex":0.41335237,"about_ca_topic_score_gemma":0.63795346,"teacher_disagreement_score":0.5866476,"about_ca_system_score_codex":0.009587576,"about_ca_system_score_gemma":0.02747979,"threshold_uncertainty_score":0.8218928},"labels":[],"label_agreement":null},{"id":"W2115168788","doi":"10.1109/ever.2013.6521631","title":"Dynamic model of an alkaline electrolyzer based an artificial neural networks","year":2013,"lang":"en","type":"article","venue":"2013 Eighth International Conference and Exhibition on Ecological Vehicles and Renewable Energies (EVER)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Resources Canada","keywords":"Artificial neural network; Backpropagation; Multilayer perceptron; MATLAB; Computer science; Alkaline water electrolysis; Voltage; Electrolysis; Nonlinear system; Artificial intelligence; Control theory (sociology); Machine learning; Control engineering; Engineering; Chemistry; Control (management)","score_opus":0.02288954465245778,"score_gpt":0.25214275993783625,"score_spread":0.22925321528537845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115168788","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08896031,0.000976045,0.8623563,0.00052962266,0.00022833575,0.00013196547,0.00045311742,0.0012324741,0.045131866],"genre_scores_gemma":[0.9532271,0.0009281829,0.02437153,0.000089937996,0.000041953565,0.00025498876,0.00025747437,0.000052980387,0.020775877],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998024,0.000027974427,0.000013392024,0.000052110812,0.00008852411,0.000015590633],"domain_scores_gemma":[0.9998671,0.00004502629,0.000020768135,0.0000088182205,0.000053356598,0.0000049146734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002238108,0.00050289894,0.00061184075,0.00034485335,0.00047522737,0.0008805852,0.0010732653,0.0010635073,0.0024148833],"category_scores_gemma":[0.00044110717,0.00037378902,0.0005767142,0.0004198578,0.00045298765,0.00097564835,0.00049099943,0.0006990913,0.0005189449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003413516,0.00002045881,0.0004161277,0.00006783901,0.000020868812,0.00009498125,0.00003880231,0.9839684,0.0045440574,0.002610828,0.0002733542,0.007910198],"study_design_scores_gemma":[0.000003031555,0.000011635199,0.00011676468,0.0000043822447,0.000005497935,0.000014177122,0.0000036672304,0.9980787,0.00070791336,0.00038268906,0.00066714257,0.0000044353565],"about_ca_topic_score_codex":0.009368631,"about_ca_topic_score_gemma":0.0055077877,"teacher_disagreement_score":0.009368631,"about_ca_system_score_codex":0.0006307644,"about_ca_system_score_gemma":0.00062831887,"threshold_uncertainty_score":0.01862818},"labels":[],"label_agreement":null},{"id":"W2115246876","doi":"10.1109/icit.2011.5754342","title":"Accurate state of charge (SOC) estimation for batteries using a reduced-order observer","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"State of charge; Estimator; Robustness (evolution); Control theory (sociology); Computer science; Observer (physics); Battery (electricity); State estimator; Voltage; State-space representation; State (computer science); Algorithm; Engineering; Mathematics; Power (physics); Electrical engineering; Artificial intelligence; Statistics; Physics","score_opus":0.10003602611902347,"score_gpt":0.3180094765901607,"score_spread":0.21797345047113725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115246876","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011319462,0.0001788872,0.98629284,0.00005376754,0.000057195797,0.000024002777,0.000042204036,0.00075942674,0.001272242],"genre_scores_gemma":[0.8730363,0.0005301798,0.123150185,0.000058659676,0.00006626506,0.0001168519,0.00023039508,0.00006356254,0.0027475888],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975246,0.000039410388,0.000020914897,0.000046859725,0.00012241793,0.000017973218],"domain_scores_gemma":[0.99956876,0.00013159485,0.000060325663,0.00008473784,0.00014506123,0.00000964502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031120185,0.0004642305,0.00073283777,0.00032658144,0.0001747245,0.0006651331,0.00065499113,0.00050986896,0.0009093818],"category_scores_gemma":[0.0012722482,0.00023347665,0.0005120094,0.00023189858,0.00023270393,0.0011371163,0.00035320787,0.0006759404,0.00040390698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025538637,0.0001377747,0.0029530576,0.0006654668,0.00014806546,0.0002775493,0.00026714816,0.58267874,0.10915895,0.016581407,0.0026515278,0.2842249],"study_design_scores_gemma":[0.000013765526,0.000070381655,0.00044262866,0.000011284114,0.000023371442,0.000044712695,0.000008279067,0.9861541,0.01001028,0.0011842874,0.002023274,0.000013680747],"about_ca_topic_score_codex":0.0025335154,"about_ca_topic_score_gemma":0.0027798633,"teacher_disagreement_score":0.0025335154,"about_ca_system_score_codex":0.00031686528,"about_ca_system_score_gemma":0.00048238694,"threshold_uncertainty_score":0.0050374866},"labels":[],"label_agreement":null},{"id":"W2115984148","doi":"10.1109/robot.2009.5152745","title":"Battery state estimation using Unscented Kalman Filter","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Kalman filter; Battery (electricity); Internal resistance; Extended Kalman filter; State of health; State of charge; Engineering; Control theory (sociology); Mobile robot; Computer science; Robot; Power (physics); Artificial intelligence; Control (management)","score_opus":0.024202025852183052,"score_gpt":0.28836273221569103,"score_spread":0.26416070636350797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115984148","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016107205,0.00021835392,0.9817377,0.00006507157,0.00003421299,0.000019400593,0.000090232534,0.0009261916,0.0008016239],"genre_scores_gemma":[0.8446491,0.00064927986,0.14927857,0.000100216,0.000052967793,0.00013394048,0.0005360535,0.000072583454,0.004527265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959284,0.000074933814,0.00003652578,0.00010687706,0.00015436378,0.000034454584],"domain_scores_gemma":[0.999506,0.00013406307,0.00007645169,0.000053689928,0.00022045914,0.00000937186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004113035,0.00048377618,0.0007863962,0.0005290958,0.00022130179,0.0006839093,0.0007172088,0.00059077994,0.0011157193],"category_scores_gemma":[0.0020690116,0.00028469323,0.00044577132,0.00044157612,0.00020651244,0.0014523773,0.0003609704,0.0006094734,0.0004947744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002000269,0.00009942218,0.0035643897,0.000228857,0.00012308841,0.00013206026,0.0001436558,0.68129057,0.022102155,0.004543539,0.0024381666,0.2851341],"study_design_scores_gemma":[0.000008485058,0.000027177495,0.00070263655,0.000006499022,0.000009705518,0.000021097878,0.000006150388,0.9954057,0.0026142972,0.00061972963,0.00056702405,0.000011529876],"about_ca_topic_score_codex":0.012705421,"about_ca_topic_score_gemma":0.010024463,"teacher_disagreement_score":0.012705421,"about_ca_system_score_codex":0.0005743847,"about_ca_system_score_gemma":0.0006057638,"threshold_uncertainty_score":0.025262952},"labels":[],"label_agreement":null},{"id":"W2116465648","doi":"10.1109/epec.2009.5420958","title":"Advantages and applications of vehicle to grid mode of operation in plug-in hybrid electric vehicles","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Automotive engineering; Grid; Electric vehicle; Battery (electricity); Wind power; Electric power system; Hybrid power; Electrical engineering; Plug-in; Renewable energy; Computer science; Engineering; Power (physics)","score_opus":0.006474022277798703,"score_gpt":0.2746701318951382,"score_spread":0.26819610961733953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116465648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38003084,0.034006193,0.28942776,0.0032790613,0.0005728113,0.00016635384,0.00053185015,0.0016105257,0.29037452],"genre_scores_gemma":[0.956884,0.0096607525,0.01974327,0.0001330953,0.00010073423,0.000026788257,0.00017977266,0.000052267358,0.01321926],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99993503,0.000016459235,0.000004029783,0.00000917916,0.000026687965,0.0000085569545],"domain_scores_gemma":[0.99991524,0.000024149556,0.000009839787,0.000009601606,0.000034869474,0.0000061785454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000098313576,0.00017011847,0.00008999975,0.0002461357,0.00015270454,0.0006065964,0.00019508136,0.0002623386,0.0016488142],"category_scores_gemma":[0.0001628345,0.00007711904,0.00012994134,0.0003421556,0.000110496905,0.0006063146,0.00023908498,0.00021710018,0.0005056859],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004274431,0.00014030244,0.009702876,0.00071310665,0.000049246184,0.0009834047,0.00032638252,0.01853447,0.053470854,0.0707699,0.010292364,0.8345897],"study_design_scores_gemma":[0.00010059027,0.0017755069,0.020272223,0.00042058155,0.00018508654,0.0071378388,0.0012932075,0.0780047,0.11063203,0.07036249,0.7096849,0.00013090324],"about_ca_topic_score_codex":0.00051077374,"about_ca_topic_score_gemma":0.0009216886,"teacher_disagreement_score":0.0016488142,"about_ca_system_score_codex":0.00012845952,"about_ca_system_score_gemma":0.00011504336,"threshold_uncertainty_score":0.005515814},"labels":[],"label_agreement":null},{"id":"W2117107127","doi":"10.1002/er.3282","title":"Correlating uncertainties of a lithium-ion battery - A Monte Carlo simulation","year":2015,"lang":"en","type":"article","venue":"International Journal of Energy Research","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Monte Carlo method; Battery (electricity); Lithium (medication); Lithium-ion battery; Probabilistic logic; Sensitivity (control systems); Normality; Reliability engineering; Computer science; Nuclear engineering; Statistics; Engineering; Mathematics; Thermodynamics; Physics; Electronic engineering","score_opus":0.09021539904019307,"score_gpt":0.38049324931104195,"score_spread":0.29027785027084885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117107127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86707884,0.0003559972,0.12031674,0.00032478958,0.00004210204,0.00014036678,0.0006663277,0.00020982455,0.010865132],"genre_scores_gemma":[0.99254674,0.00009688416,0.0062178355,0.000027115077,0.0000067165556,0.00006474454,0.00021108698,0.000015988684,0.00081281026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994288,0.0002399419,0.000032572632,0.00007912867,0.00015689501,0.000062642575],"domain_scores_gemma":[0.9941255,0.00481318,0.0003085614,0.0002516712,0.0004134694,0.00008753619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00182706,0.00049719715,0.00076743175,0.0007912016,0.0005159193,0.0009903617,0.0007260224,0.00092670973,0.0015140834],"category_scores_gemma":[0.0070888493,0.00036669878,0.0007158871,0.0007564764,0.00067689066,0.0006933421,0.0005036521,0.0008171724,0.00013492753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021936916,0.00001127453,0.0009234747,0.0000062289705,0.000007970486,0.000018596784,0.0000070926735,0.9970091,0.00017501405,0.0013848158,0.000033622055,0.00040079592],"study_design_scores_gemma":[0.000003912011,0.000017715345,0.0003654106,0.000003181492,0.0000065597874,0.000008397053,0.0000078877965,0.99817157,0.0002935902,0.0010176916,0.00009785178,0.000006188652],"about_ca_topic_score_codex":0.010874354,"about_ca_topic_score_gemma":0.005734886,"teacher_disagreement_score":0.010874354,"about_ca_system_score_codex":0.0010591681,"about_ca_system_score_gemma":0.00095959747,"threshold_uncertainty_score":0.021622121},"labels":[],"label_agreement":null},{"id":"W2117193878","doi":"10.1109/intlec.1991.172393","title":"A microcomputer-based battery management system","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"STMicroelectronics (Canada)","funders":"","keywords":"Microcomputer; Battery (electricity); Uninterruptible power supply; Computer science; Embedded system; Reliability engineering; Power (physics); Electrical engineering; Engineering; Telecommunications; Voltage","score_opus":0.01606014999081045,"score_gpt":0.21292480844359404,"score_spread":0.1968646584527836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117193878","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1506718,0.002675704,0.46004972,0.0017045019,0.0012627522,0.0019865427,0.004720964,0.17581242,0.20111562],"genre_scores_gemma":[0.6411161,0.0013253293,0.15525676,0.0014592871,0.00053479243,0.0013909584,0.0045766896,0.0019128773,0.19242725],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996295,0.000026724934,0.000024176961,0.000107697786,0.00017860404,0.0000332109],"domain_scores_gemma":[0.9996132,0.00003975511,0.000023160086,0.00008284633,0.0001904669,0.000050641404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018849132,0.00046414335,0.0004580991,0.0010297269,0.00068128604,0.0008557518,0.0013535242,0.00050715293,0.026133765],"category_scores_gemma":[0.00051373144,0.00023512574,0.00014607538,0.0008872531,0.0001743296,0.0007943984,0.0006205971,0.00043453358,0.0111166965],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007279084,0.00043799574,0.003335525,0.0003609654,0.000053105785,0.000519428,0.00029257612,0.004519609,0.18717463,0.007190848,0.12770021,0.6676872],"study_design_scores_gemma":[0.00036501608,0.0011515344,0.009994605,0.00012666105,0.00021236953,0.0026066205,0.00012975551,0.13661283,0.21054503,0.0040229443,0.63402236,0.00021027522],"about_ca_topic_score_codex":0.0022480686,"about_ca_topic_score_gemma":0.0015798227,"teacher_disagreement_score":0.026133765,"about_ca_system_score_codex":0.00054496335,"about_ca_system_score_gemma":0.0006476411,"threshold_uncertainty_score":0.087426186},"labels":[],"label_agreement":null},{"id":"W2117265448","doi":"10.1109/epec.2009.5420378","title":"Analysis of the battery performance in hybrid electric vehicle for different traction motors","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Automotive engineering; Battery (electricity); Traction motor; Automotive battery; Regenerative brake; Automotive industry; Electric vehicle; Battery electric vehicle; Brushed DC electric motor; State of charge; Hybrid vehicle; Traction (geology); Electrical engineering; Internal combustion engine; Voltage; Engineering; Computer science; Power (physics); Induction motor; Mechanical engineering; Physics; Brake","score_opus":0.010684859252835506,"score_gpt":0.24281673517706556,"score_spread":0.23213187592423007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117265448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946431,0.00037273703,0.002792365,0.000025939336,0.000013545557,0.000012952383,0.0003246816,0.0000747498,0.0017398895],"genre_scores_gemma":[0.99868983,0.00009509563,0.00016066477,0.0000049273103,0.0000022566446,0.000006978719,0.00019608163,0.000008948897,0.00083520595],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979144,0.000020646738,0.000014832139,0.000033587163,0.00009523222,0.000044326895],"domain_scores_gemma":[0.99942774,0.0002175975,0.000036575548,0.000044445187,0.00025317934,0.00002039776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021936193,0.00029114846,0.0004266609,0.0005956165,0.00020454278,0.00034066814,0.00038757495,0.00039545924,0.0018731634],"category_scores_gemma":[0.0007311476,0.00010751738,0.0003337923,0.00054999033,0.00016183905,0.000482349,0.0001608394,0.00018899502,0.0006120483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00593524,0.00036510738,0.052007254,0.0010098682,0.00036070342,0.0015296107,0.0012080927,0.14756866,0.6402084,0.0019259036,0.00265922,0.14522192],"study_design_scores_gemma":[0.00007407741,0.004886169,0.11945379,0.000084707404,0.00025563437,0.0012978229,0.00093072915,0.3950471,0.47135454,0.0011140661,0.005414263,0.00008713516],"about_ca_topic_score_codex":0.001458784,"about_ca_topic_score_gemma":0.0015312997,"teacher_disagreement_score":0.0018731634,"about_ca_system_score_codex":0.00033014297,"about_ca_system_score_gemma":0.00010549805,"threshold_uncertainty_score":0.0062663555},"labels":[],"label_agreement":null},{"id":"W2117378777","doi":"10.1109/epec.2009.5420917","title":"Review of alternate energy storage systems for hybrid electric vehicles","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Energy storage; Automotive engineering; Capacitor; Battery (electricity); Electric vehicle; Converters; Electrical engineering; Plug-in; State of charge; Engineering; Computer science; Power (physics); Voltage","score_opus":0.01603962342737599,"score_gpt":0.27061515154255217,"score_spread":0.2545755281151762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117378777","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020478577,0.92964864,0.025468046,0.00090627256,0.002111071,0.00007760677,0.00016783185,0.00014109843,0.039431617],"genre_scores_gemma":[0.024621608,0.9144159,0.020577913,0.0008212422,0.0023018268,0.00013546046,0.00049485103,0.000045497974,0.03658572],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998337,0.000025923557,0.000025061643,0.00003068041,0.00007387357,0.000010785069],"domain_scores_gemma":[0.99974483,0.00008077553,0.000020614552,0.000014759712,0.0001274049,0.000011643757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002678097,0.0006213614,0.00068129937,0.00082676014,0.0003272004,0.0007975925,0.0010292052,0.000910583,0.011649656],"category_scores_gemma":[0.0004777111,0.00027192067,0.00034423338,0.0017385903,0.00017727647,0.001582978,0.00038776602,0.00047267688,0.005199231],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009000892,0.000087207365,0.00021963964,0.0073451027,0.00007131002,0.0002722912,0.00005852816,0.0029474862,0.0053243567,0.022476085,0.043605402,0.9175026],"study_design_scores_gemma":[0.000014747654,0.00009410784,0.00033614357,0.0006764975,0.000051561878,0.00064428715,0.000037951995,0.0021382538,0.0011533248,0.0056491937,0.98918647,0.000017410508],"about_ca_topic_score_codex":0.00069891213,"about_ca_topic_score_gemma":0.0010008662,"teacher_disagreement_score":0.011649656,"about_ca_system_score_codex":0.00032293334,"about_ca_system_score_gemma":0.000577682,"threshold_uncertainty_score":0.03897202},"labels":[],"label_agreement":null},{"id":"W2119298575","doi":"10.1149/1.3543569","title":"High-Precision Differential Capacity Analysis of LiMn<sub>2</sub>O<sub>4</sub>/graphite Cells","year":2011,"lang":"en","type":"article","venue":"Electrochemical and Solid-State Letters","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Graphite; Materials science; Coulometry; Differential (mechanical device); Electrode; Heat capacity; Fade; Slippage; Capacity loss; Analytical Chemistry (journal); Thermodynamics; Composite material; Electrochemistry; Chemistry; Computer science; Physics; Chromatography; Physical chemistry","score_opus":0.009747189065115965,"score_gpt":0.20473093280925556,"score_spread":0.1949837437441396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119298575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97178644,0.0004832841,0.023678973,0.000082219274,0.000034482116,0.00005330777,0.0008192557,0.00042360832,0.002638487],"genre_scores_gemma":[0.9884566,0.00021262775,0.009902165,0.000031320033,0.0000068428976,0.000029673805,0.00032328774,0.000038593796,0.0009988507],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996575,0.000031873908,0.000020291613,0.000052953557,0.00021143458,0.000026008423],"domain_scores_gemma":[0.9990957,0.00022019092,0.00006720678,0.00012163507,0.00047341085,0.000021950815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039232537,0.0002352031,0.0002507176,0.00081849453,0.00027837948,0.00043969034,0.00063549343,0.0004245749,0.0012735048],"category_scores_gemma":[0.0015848826,0.0001569246,0.00013265759,0.00063131744,0.00032697088,0.00043850305,0.00034576145,0.00027291803,0.00024932093],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023391677,0.000042465515,0.006127506,0.00012282016,0.000018469791,0.00017023456,0.00009944505,0.0021276684,0.9602875,0.0004185883,0.00029282796,0.030058574],"study_design_scores_gemma":[0.000009439329,0.00012934589,0.01113655,0.000009037245,0.0000156468,0.00024025282,0.00005979196,0.008444906,0.97772014,0.00027420546,0.0019403178,0.000020422207],"about_ca_topic_score_codex":0.0013429896,"about_ca_topic_score_gemma":0.0027059435,"teacher_disagreement_score":0.0013429896,"about_ca_system_score_codex":0.0004370002,"about_ca_system_score_gemma":0.00024217533,"threshold_uncertainty_score":0.0042603016},"labels":[],"label_agreement":null},{"id":"W2119918614","doi":"10.1109/pesc.1991.162775","title":"Characterization of transient operation modes for a 3-phase controlled rectifier under open-loop predictive ride-through control","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Uninterruptible power supply; Transient (computer programming); Rectifier (neural networks); Control theory (sociology); Model predictive control; Computer science; Steady state (chemistry); Term (time); Transient state; Open-loop controller; Power (physics); State (computer science); Control (management); Control engineering; Engineering; Closed loop; Voltage; Physics; Electrical engineering; Artificial intelligence; Artificial neural network; Algorithm","score_opus":0.04147694793466578,"score_gpt":0.308804360621305,"score_spread":0.26732741268663923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119918614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75317997,0.00036475222,0.23574652,0.0000926533,0.000026181586,0.0001928517,0.00027199954,0.002245996,0.007879088],"genre_scores_gemma":[0.99590224,0.00003277303,0.0034666855,0.0000068987506,0.000002271669,0.000040887095,0.00006476213,0.000027046379,0.00045652935],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995409,0.00008236155,0.000037673824,0.00007419546,0.00020073928,0.00006415915],"domain_scores_gemma":[0.9975393,0.0014154834,0.0003512523,0.0003194287,0.00030738444,0.00006714363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006710297,0.00039842346,0.00055831444,0.0006504488,0.00032794898,0.0005517117,0.0005248129,0.00046156076,0.0032055608],"category_scores_gemma":[0.0022636026,0.00014674927,0.00026984396,0.0003818512,0.0006443126,0.0005469392,0.00017288038,0.00043453483,0.00040274372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042117694,0.00046166868,0.015066118,0.00070503296,0.00011239506,0.0018434522,0.0030217608,0.06292331,0.70335454,0.012062516,0.0020113147,0.19422618],"study_design_scores_gemma":[0.00032405296,0.0051847706,0.029816058,0.00014164252,0.00015882966,0.003780516,0.0006739283,0.48522756,0.46025515,0.007365318,0.0068885586,0.00018369315],"about_ca_topic_score_codex":0.0008100295,"about_ca_topic_score_gemma":0.00060362136,"teacher_disagreement_score":0.0032055608,"about_ca_system_score_codex":0.00024684024,"about_ca_system_score_gemma":0.0002054041,"threshold_uncertainty_score":0.01072371},"labels":[],"label_agreement":null},{"id":"W2120330638","doi":"10.1016/j.jpowsour.2013.05.175","title":"Transient three-dimensional thermal model for batteries with thin electrodes","year":2013,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Biot number; Thermal conduction; Mechanics; Thermal; Heat generation; Transient (computer programming); Battery (electricity); Materials science; Convection; Thermodynamics; Computer science; Physics; Composite material; Power (physics)","score_opus":0.011346205791483535,"score_gpt":0.22706429087996582,"score_spread":0.21571808508848228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120330638","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24262549,0.0023069405,0.6101192,0.0028723676,0.00049778423,0.00023867522,0.0020551726,0.0012828736,0.13800144],"genre_scores_gemma":[0.9620331,0.00064525555,0.008121227,0.0002531324,0.00005669621,0.00019730165,0.00034774622,0.00016804204,0.028177546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998795,0.000028318484,0.0000061630826,0.000022080954,0.000035439418,0.000028509876],"domain_scores_gemma":[0.9996959,0.00014034357,0.000029740258,0.00003527569,0.00007202351,0.000026723395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027064892,0.00054859713,0.0008993705,0.00043105788,0.0006631605,0.0012278365,0.0015921147,0.002070737,0.0068099243],"category_scores_gemma":[0.0012731544,0.0005583695,0.00094865606,0.0005222646,0.001182237,0.0015887659,0.00069270836,0.0010377468,0.00084606657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004437805,0.000022260716,0.00021251061,0.000049353283,0.000012963588,0.0001139572,0.00005844599,0.98502666,0.0030172912,0.0097960755,0.00048924726,0.0011567778],"study_design_scores_gemma":[0.0000069246794,0.00000651113,0.00008333149,0.0000045371853,0.0000040154478,0.000014201894,0.0000143927,0.9973048,0.00032694903,0.0019236542,0.00030478314,0.00000584534],"about_ca_topic_score_codex":0.008736001,"about_ca_topic_score_gemma":0.0051674983,"teacher_disagreement_score":0.008736001,"about_ca_system_score_codex":0.0010013898,"about_ca_system_score_gemma":0.0007992408,"threshold_uncertainty_score":0.022781432},"labels":[],"label_agreement":null},{"id":"W2122489132","doi":"10.1109/ipss.1990.145785","title":"A low temperature, high performance lithium sulfur dioxide battery for a personal locator beacon","year":2002,"lang":"en","type":"article","venue":"Proceedings of the 34th International Power Sources Symposium","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Battery (electricity); Computer science; Range (aeronautics); Lithium (medication); Automotive engineering; Reliability engineering; Embedded system; Electrical engineering; Engineering; Aerospace engineering","score_opus":0.008573217327841045,"score_gpt":0.20777269276458477,"score_spread":0.1991994754367437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122489132","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09857365,0.014517577,0.7628565,0.0039108265,0.0035897428,0.0010905004,0.0018651272,0.010680359,0.10291576],"genre_scores_gemma":[0.4117951,0.008265435,0.29220286,0.0021203924,0.0006296854,0.0010087114,0.0032779167,0.0013944411,0.2793055],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99938214,0.000056625075,0.000035853445,0.00006400956,0.00042528915,0.000036026813],"domain_scores_gemma":[0.99972016,0.000038106464,0.00002968759,0.000044325425,0.0001293355,0.000038412807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025580588,0.00040362217,0.00047463615,0.0005427095,0.00039977976,0.000906615,0.0012441368,0.0010760506,0.0071245413],"category_scores_gemma":[0.00064913655,0.00030058596,0.00042502233,0.00064929185,0.00025712728,0.0013636922,0.000638504,0.00068516185,0.0058277785],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056435243,0.00022287462,0.0017685321,0.0014323505,0.000045405515,0.0011455443,0.0002965585,0.0021175623,0.59021735,0.013209745,0.047984462,0.3409953],"study_design_scores_gemma":[0.00018371432,0.00142452,0.0020995077,0.00010570058,0.00008104368,0.00517968,0.00012335528,0.010221889,0.2841884,0.0023248643,0.69395757,0.00010981388],"about_ca_topic_score_codex":0.00045520655,"about_ca_topic_score_gemma":0.0010730185,"teacher_disagreement_score":0.0071245413,"about_ca_system_score_codex":0.00042925368,"about_ca_system_score_gemma":0.00035097435,"threshold_uncertainty_score":0.02383399},"labels":[],"label_agreement":null},{"id":"W2122528674","doi":"10.1016/j.jpowsour.2013.06.086","title":"Analytical assessment of the thermal behavior of nickel–metal hydride batteries during fast charging","year":2013,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Battery (electricity); Thermal; Transient (computer programming); Thermal conduction; Mechanics; Materials science; Heat generation; Nuclear engineering; Convection; Nickel; Thermodynamics; Convective heat transfer; Chemistry; Composite material; Engineering; Metallurgy; Physics; Computer science","score_opus":0.010239333663274083,"score_gpt":0.2669175088873004,"score_spread":0.25667817522402636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122528674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914157,0.00034360128,0.0043283906,0.00004377074,0.000020481895,0.000023591789,0.0001929766,0.00007815937,0.0035533998],"genre_scores_gemma":[0.99865675,0.00007439214,0.00029049168,0.000005509803,0.0000039703114,0.00000683109,0.00006616239,0.000007380262,0.000888473],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999049,0.000009405519,0.00000381337,0.00001620904,0.00004579102,0.000019914693],"domain_scores_gemma":[0.99984765,0.000050785908,0.000011464219,0.000016577387,0.0000648084,0.0000086277805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018681746,0.00023381726,0.00019119288,0.00029951837,0.00030884086,0.0003367179,0.00026661713,0.00023266862,0.0013306462],"category_scores_gemma":[0.00040539654,0.00012921616,0.00015086345,0.00022521311,0.0002899407,0.0003390822,0.00015836251,0.00025825744,0.00028005498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00141768,0.00008929722,0.0077578914,0.00015922927,0.000025727113,0.0002861626,0.0005450142,0.006465083,0.9602971,0.0006570231,0.0005584665,0.021741264],"study_design_scores_gemma":[0.000011236844,0.00029537646,0.023506077,0.000010597395,0.000017341392,0.00020961613,0.000479801,0.0357104,0.93706554,0.00032834962,0.0023391743,0.000026445387],"about_ca_topic_score_codex":0.0015367387,"about_ca_topic_score_gemma":0.0020658998,"teacher_disagreement_score":0.0015367387,"about_ca_system_score_codex":0.0003538354,"about_ca_system_score_gemma":0.00020433363,"threshold_uncertainty_score":0.0044514537},"labels":[],"label_agreement":null},{"id":"W2125765712","doi":"10.1109/pesc.2005.1581917","title":"Energy Management Strategies for Optimization of Energy Storage in Wind Power Hybrid System","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Resources Canada","keywords":"Wind power; Energy storage; Computer science; Intermittent energy source; Renewable energy; Grid; Energy management; Pumped-storage hydroelectricity; Computer data storage; Automotive engineering; Reliability engineering; Energy (signal processing); Distributed generation; Electrical engineering; Power (physics); Engineering; Computer hardware","score_opus":0.006839742246648619,"score_gpt":0.2163827069662429,"score_spread":0.20954296471959427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125765712","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18436067,0.0018147754,0.78074527,0.00058236334,0.000071959505,0.00031917117,0.000117296644,0.00052337104,0.031465244],"genre_scores_gemma":[0.98357195,0.00022791,0.013124881,0.000039284474,0.000014337693,0.00010915195,0.00002320272,0.000014113213,0.0028751967],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999064,0.00002872505,0.0000065466943,0.000013433995,0.000030856416,0.0000140364755],"domain_scores_gemma":[0.9999155,0.000030866584,0.00001888516,0.0000034710374,0.000026656868,0.0000045954666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028655367,0.0005277771,0.00045605892,0.00035678284,0.00030815732,0.00092012814,0.00042750654,0.0005308072,0.0024712533],"category_scores_gemma":[0.00036092056,0.00019980781,0.000165526,0.00024517585,0.00025008898,0.00053291104,0.0003166198,0.00023866295,0.00022907209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019338854,0.00009165473,0.00051385583,0.00013519997,0.00004505056,0.0001606187,0.00012256164,0.90984,0.01623479,0.010122211,0.0009727326,0.06156809],"study_design_scores_gemma":[0.00003574206,0.00011808189,0.00033104318,0.000016111038,0.000020738222,0.000028222654,0.00004926448,0.99354845,0.0022360315,0.0026798546,0.0009284929,0.000008072449],"about_ca_topic_score_codex":0.002034907,"about_ca_topic_score_gemma":0.0034191262,"teacher_disagreement_score":0.0024712533,"about_ca_system_score_codex":0.00040339175,"about_ca_system_score_gemma":0.00032228808,"threshold_uncertainty_score":0.008267105},"labels":[],"label_agreement":null},{"id":"W2126450366","doi":"10.36001/phmconf.2010.v2i1.1896","title":"An Adaptive Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-ion Batteries","year":2010,"lang":"en","type":"article","venue":"Annual Conference of the PHM Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":252,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Carleton University","funders":"","keywords":"Prognostics; Artificial neural network; Computer science; Recurrent neural network; State of health; Service life; Lithium (medication); Reliability engineering; Artificial intelligence; Machine learning; Engineering; Data mining; Battery (electricity)","score_opus":0.04372108605268748,"score_gpt":0.281104038336771,"score_spread":0.23738295228408351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126450366","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1306428,0.001587327,0.8624965,0.0002877695,0.000113973896,0.000037123642,0.00014329737,0.0011034226,0.003587817],"genre_scores_gemma":[0.9582523,0.00041246292,0.039054483,0.000051553117,0.000026295551,0.000041941657,0.00015047012,0.000020389254,0.0019900317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998864,0.000027196978,0.000008771638,0.000026963568,0.00003784911,0.000012735449],"domain_scores_gemma":[0.9998462,0.000056703262,0.000018989898,0.0000095862215,0.00006331585,0.000005186774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004169879,0.00032341582,0.00036684965,0.00021486662,0.00019539522,0.0003221572,0.00068987644,0.00041979153,0.0005878012],"category_scores_gemma":[0.0011249568,0.00016467557,0.00024020893,0.0002585028,0.0001505186,0.00049969647,0.00019712825,0.00040743654,0.00013519604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012057491,0.00004377032,0.0017264766,0.000055289303,0.000041915406,0.000105066356,0.000049085742,0.8521503,0.00945467,0.0023505958,0.0012684164,0.13263372],"study_design_scores_gemma":[0.0000013851973,0.000010078653,0.00012169572,0.0000014815996,0.000003946944,0.000005644659,0.0000013256298,0.9989667,0.0005804557,0.00020323544,0.000101792546,0.0000021617961],"about_ca_topic_score_codex":0.0065380945,"about_ca_topic_score_gemma":0.006761743,"teacher_disagreement_score":0.0065380945,"about_ca_system_score_codex":0.0003886459,"about_ca_system_score_gemma":0.00031810298,"threshold_uncertainty_score":0.013000071},"labels":[],"label_agreement":null},{"id":"W2126770114","doi":"10.1109/tim.2011.2115630","title":"Online State-of-Health Assessment for Battery Management Systems","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":151,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Battery (electricity); State of health; Reliability engineering; Software; Computer science; Health management system; Engineering; Power (physics)","score_opus":0.09432426052610215,"score_gpt":0.3134934687588644,"score_spread":0.21916920823276226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126770114","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05994185,0.00044288032,0.9356578,0.00016684832,0.00004616296,0.00007453028,0.00013320995,0.0019257145,0.0016109577],"genre_scores_gemma":[0.9436357,0.00014394351,0.0551431,0.000044222077,0.000035278168,0.000059771217,0.00011472839,0.000029547897,0.00079361885],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99964726,0.00009097464,0.000023819994,0.00007901677,0.00013214824,0.00002679329],"domain_scores_gemma":[0.99887353,0.0006729737,0.00013619375,0.00011165704,0.00017252911,0.000033104552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004530775,0.0005253807,0.0005124425,0.00050595356,0.00027834633,0.0006322101,0.00061577343,0.0005103968,0.0015910502],"category_scores_gemma":[0.003624336,0.00017476566,0.0001665951,0.00031512944,0.00025115733,0.00090345455,0.0005080393,0.00048218374,0.00043333773],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060318614,0.00027783116,0.009189481,0.00023514865,0.000060629147,0.00017657412,0.00016772507,0.3476874,0.028689168,0.0063387924,0.0025861491,0.6039878],"study_design_scores_gemma":[0.000007855897,0.000070958755,0.0014577304,0.000009329402,0.000007166463,0.000052468957,0.000016301954,0.98811567,0.006965607,0.0026622338,0.00062448916,0.000010253255],"about_ca_topic_score_codex":0.0011272104,"about_ca_topic_score_gemma":0.0012804826,"teacher_disagreement_score":0.0015910502,"about_ca_system_score_codex":0.0003490632,"about_ca_system_score_gemma":0.00036752087,"threshold_uncertainty_score":0.005322635},"labels":[],"label_agreement":null},{"id":"W2127727988","doi":"10.1109/icps.1997.595999","title":"Optimization of load shedding scheme in an integrated process plant","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sinai Health System; Syncrude (Canada)","funders":"","keywords":"Load Shedding; Scheme (mathematics); Economic shortage; Process (computing); Transient (computer programming); Computer science; Power (physics); Power station; Control engineering; Engineering; Electric power system; Reliability engineering; Electrical engineering; Operating system","score_opus":0.025037146839621147,"score_gpt":0.274431754821221,"score_spread":0.24939460798159985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127727988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87948567,0.00010879239,0.11314564,0.000108417655,0.000023762046,0.000118816795,0.000051828567,0.0002490411,0.006708062],"genre_scores_gemma":[0.9953382,0.000014398566,0.0042495853,0.000004008333,0.0000023564064,0.000010982596,0.000008982559,0.000004533363,0.00036692017],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983597,0.00003112816,0.0000058857163,0.00002557799,0.000053326607,0.000048183003],"domain_scores_gemma":[0.9997936,0.000060924107,0.000040244187,0.000014119927,0.000057029236,0.000034090754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004162754,0.00033887927,0.00042664201,0.00027764926,0.000469933,0.00057477906,0.0005285048,0.00055799144,0.001310363],"category_scores_gemma":[0.000573639,0.00023231994,0.00017124435,0.00028069387,0.00027049618,0.00037750043,0.00032154657,0.0003504306,0.00012123203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057029125,0.00026315445,0.0013041982,0.000081984326,0.000023687853,0.0001834271,0.00007442473,0.91560155,0.048122928,0.0011293025,0.00038381258,0.03226129],"study_design_scores_gemma":[0.000059992275,0.00038454568,0.0007975274,0.0000030432875,0.000013226639,0.00001798272,0.000025189818,0.9930744,0.0051336335,0.0002513881,0.00023234394,0.000006690704],"about_ca_topic_score_codex":0.0019161919,"about_ca_topic_score_gemma":0.002220094,"teacher_disagreement_score":0.0019161919,"about_ca_system_score_codex":0.0005944935,"about_ca_system_score_gemma":0.00041068153,"threshold_uncertainty_score":0.004383564},"labels":[],"label_agreement":null},{"id":"W2128061425","doi":"10.1109/ccece.1997.608318","title":"A back-up power supply for residential applications","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Backup; Battery (electricity); Switched-mode power supply; Power (physics); Topology (electrical circuits); Voltage; Electrical engineering; Switched-mode power supply applications; Computer science; Electronic engineering; Engineering; Constant power circuit; Mechanical engineering; Physics","score_opus":0.020579951212694507,"score_gpt":0.2744363269582917,"score_spread":0.25385637574559716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128061425","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12833153,0.0022197156,0.76838773,0.0011700538,0.0007273036,0.00039496532,0.000734867,0.011031676,0.087002106],"genre_scores_gemma":[0.78721213,0.0024261056,0.12541229,0.0013267845,0.00043002685,0.00022016154,0.0007408093,0.00053215394,0.08169958],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985075,0.000017665754,0.000006725863,0.000023902698,0.00008750635,0.000013453169],"domain_scores_gemma":[0.9999039,0.000015698763,0.0000058005107,0.000016585594,0.000047373578,0.000010600052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060630526,0.00035133358,0.00033622264,0.00033428593,0.0004489761,0.0006297937,0.00075857743,0.00056061003,0.0121617345],"category_scores_gemma":[0.00021512451,0.00017626381,0.00023022271,0.00036082888,0.00017107934,0.000689287,0.00040886138,0.00056741387,0.0058958707],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036295046,0.00020629629,0.000904808,0.0008305682,0.000043704487,0.0012698758,0.00035346442,0.0019403294,0.4558599,0.009159658,0.020289997,0.50877845],"study_design_scores_gemma":[0.00018448723,0.0013280041,0.004867062,0.0002638271,0.00017646523,0.01073416,0.00029033909,0.04663338,0.6176109,0.009595904,0.30822337,0.000092187984],"about_ca_topic_score_codex":0.0002763773,"about_ca_topic_score_gemma":0.0004498136,"teacher_disagreement_score":0.0121617345,"about_ca_system_score_codex":0.00016449117,"about_ca_system_score_gemma":0.0001563928,"threshold_uncertainty_score":0.040685058},"labels":[],"label_agreement":null},{"id":"W2128836632","doi":"10.1109/bcaa.1995.398491","title":"Testing and evaluation of tubular positive lead-acid batteries","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Lead–acid battery; Resistor; State of charge; Battery (electricity); Capacitor; Transient response; Charge (physics); Transient (computer programming); Voltage; Computer science; Electrical engineering; Tandem; Electronic engineering; Engineering; Physics; Aerospace engineering; Thermodynamics","score_opus":0.05878330681149667,"score_gpt":0.2919294000555192,"score_spread":0.23314609324402252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128836632","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98246276,0.00043692972,0.011995698,0.0001885009,0.00011369105,0.00019362863,0.00035241197,0.00048115978,0.003775154],"genre_scores_gemma":[0.99191624,0.0003433511,0.0039808163,0.000070357164,0.000017397639,0.00007428605,0.00035809563,0.000043120635,0.0031963123],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987085,0.00023994167,0.00007437415,0.0001370428,0.0007448193,0.00009529523],"domain_scores_gemma":[0.9982311,0.0003401274,0.000116727504,0.0001751487,0.0010057661,0.0001311334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096801703,0.0006157186,0.0004886888,0.00064153224,0.00057803525,0.0005998688,0.0019225304,0.0012756359,0.0031695145],"category_scores_gemma":[0.003975971,0.00016324461,0.00033541134,0.000551071,0.00057281164,0.0009297166,0.00078119553,0.00025970364,0.001167811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003197197,0.00077014277,0.016334927,0.001455501,0.00008935546,0.0035938397,0.0015900308,0.0194616,0.85929626,0.0023660208,0.0022303234,0.08961478],"study_design_scores_gemma":[0.00011182091,0.0104786735,0.004973379,0.000073649746,0.000067690926,0.0015319883,0.0008039321,0.020620914,0.9519434,0.0012226679,0.008112994,0.000058984744],"about_ca_topic_score_codex":0.00066507515,"about_ca_topic_score_gemma":0.00059645786,"teacher_disagreement_score":0.0031695145,"about_ca_system_score_codex":0.00041354488,"about_ca_system_score_gemma":0.00026728932,"threshold_uncertainty_score":0.01060307},"labels":[],"label_agreement":null},{"id":"W2129178416","doi":"10.1109/vppc.2011.6043118","title":"Fuzzy logic based supervisory energy management for multisource electric vehicles","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Energy management; Fuzzy logic; State of charge; Energy storage; Supervisory control; Energy (signal processing); Computer science; Energy management system; Reliability engineering; Automotive engineering; Engineering; Control (management); Artificial intelligence; Battery (electricity)","score_opus":0.047808944497535207,"score_gpt":0.24219578194759983,"score_spread":0.19438683745006463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129178416","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053640965,0.00076259,0.93642026,0.00021847297,0.00014281739,0.000062865394,0.000057467732,0.0013445098,0.0073500876],"genre_scores_gemma":[0.97920346,0.00015436545,0.018670501,0.00004198055,0.000025462396,0.000039966657,0.00003129137,0.000011633911,0.0018213405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999813,0.000029308396,0.000013306792,0.000045376415,0.00007986543,0.000019090425],"domain_scores_gemma":[0.99983406,0.000057396905,0.00003255661,0.000013550715,0.00005109404,0.000011308718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022943997,0.00029962976,0.00032033157,0.00021484472,0.0002849273,0.0005849824,0.0005349594,0.0003487605,0.0012951746],"category_scores_gemma":[0.0003790041,0.000119788165,0.00022575035,0.0001376486,0.00028874516,0.00038154027,0.0003290799,0.00047751807,0.0002123303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046004314,0.0002817335,0.0012013075,0.00044403813,0.00009610382,0.0005870265,0.0003988747,0.6050336,0.07579257,0.018227026,0.003636008,0.29384172],"study_design_scores_gemma":[0.000049552236,0.00018406274,0.00050940155,0.000026278223,0.000025150535,0.000086122556,0.000036959267,0.9762187,0.01391808,0.005857716,0.0030718374,0.000016184016],"about_ca_topic_score_codex":0.0018202212,"about_ca_topic_score_gemma":0.002196052,"teacher_disagreement_score":0.0018202212,"about_ca_system_score_codex":0.00031806625,"about_ca_system_score_gemma":0.00036107286,"threshold_uncertainty_score":0.004332781},"labels":[],"label_agreement":null},{"id":"W2129350260","doi":"10.1149/2.1191412jes","title":"A Distributed Analytical Electro-Thermal Model for Pouch-Type Lithium-Ion Batteries","year":2014,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Joule heating; Electrode; Thermal; Heat generation; Polarization (electrochemistry); Ion; Ohmic contact; Voltage; Materials science; Battery (electricity); Lithium (medication); Lithium-ion battery; Mechanics; Chemistry; Thermodynamics; Analytical Chemistry (journal); Composite material; Electrical engineering; Physics","score_opus":0.012441033776769627,"score_gpt":0.25875992761043887,"score_spread":0.24631889383366923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129350260","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021931177,0.0011237302,0.9572417,0.00034383975,0.00015273789,0.000118035714,0.0002460216,0.00028923783,0.01855351],"genre_scores_gemma":[0.86766356,0.0030144388,0.07048829,0.00035225693,0.00015459572,0.0009971266,0.00044092376,0.00018576875,0.05670295],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998022,0.000035749814,0.000010432581,0.00004619047,0.00008334607,0.000022147005],"domain_scores_gemma":[0.9998704,0.000048053236,0.00001507866,0.0000128744805,0.000045086166,0.0000084449175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031635727,0.00077461964,0.0010479804,0.0005716286,0.0005873879,0.0011325323,0.0022319113,0.0013441567,0.0027230072],"category_scores_gemma":[0.0006517172,0.00038362516,0.0010040762,0.0007603463,0.0007185343,0.0015273177,0.0007252379,0.0008788988,0.00087007723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031965465,0.000049939375,0.00026947793,0.00015349148,0.000026856467,0.00021392299,0.00009397745,0.9360841,0.012237127,0.04205526,0.0007950486,0.007988929],"study_design_scores_gemma":[0.0000043439404,0.000016959144,0.00006417159,0.000004842385,0.000006848658,0.000052273823,0.000008949335,0.9932734,0.00057098176,0.0047649182,0.0012242575,0.000008120396],"about_ca_topic_score_codex":0.0015807607,"about_ca_topic_score_gemma":0.0013421503,"teacher_disagreement_score":0.0027230072,"about_ca_system_score_codex":0.00074165326,"about_ca_system_score_gemma":0.000712466,"threshold_uncertainty_score":0.009109378},"labels":[],"label_agreement":null},{"id":"W2130228361","doi":"10.1109/ievc.2012.6183254","title":"Impact analysis of EV battery charging on the power system distribution transformers","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Distribution transformer; Transformer; Automotive engineering; Electrical engineering; Computer science; Reliability engineering; Environmental science; Engineering; Voltage","score_opus":0.015461745130993815,"score_gpt":0.2728832650828281,"score_spread":0.2574215199518343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130228361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9664165,0.00023343055,0.016131181,0.00006967676,0.00001828692,0.000047379403,0.0002742767,0.00015557732,0.016653728],"genre_scores_gemma":[0.99835783,0.000068345675,0.0003597673,0.000004299498,0.0000025779295,0.0000043950154,0.000051791147,0.000010569883,0.0011404257],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976915,0.00006202677,0.0000062873864,0.000019687219,0.00009324294,0.000049568673],"domain_scores_gemma":[0.9994898,0.00029882675,0.00003526519,0.000027481012,0.00013036323,0.000018229157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000254977,0.00045148682,0.00039300177,0.0003871344,0.00025961897,0.00048775968,0.00038241656,0.00033579755,0.0029839848],"category_scores_gemma":[0.00094760227,0.00019798268,0.00048280877,0.00049817364,0.00025503171,0.00066112226,0.00027401594,0.00029520076,0.00031495938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007157477,0.00005153359,0.008123013,0.00012955457,0.000046413792,0.0006347079,0.000061221064,0.95718986,0.015411478,0.0014429823,0.00053987023,0.015653659],"study_design_scores_gemma":[0.000022554495,0.0003390631,0.011255426,0.000009442422,0.00008475631,0.00016177776,0.00012664872,0.9705386,0.015672954,0.00074174954,0.0010334328,0.0000136294275],"about_ca_topic_score_codex":0.007967534,"about_ca_topic_score_gemma":0.0051133097,"teacher_disagreement_score":0.007967534,"about_ca_system_score_codex":0.0009157651,"about_ca_system_score_gemma":0.00034442198,"threshold_uncertainty_score":0.015842319},"labels":[],"label_agreement":null},{"id":"W2131559158","doi":"10.4271/2014-01-1846","title":"Switched-Capacitor Cell Balancing: A Fresh Perspective","year":2014,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Capacitor; Perspective (graphical); Switched capacitor; Computer science; Optoelectronics; Materials science; Electrical engineering; Engineering; Voltage; Artificial intelligence","score_opus":0.010539132507333862,"score_gpt":0.24796508469725514,"score_spread":0.2374259521899213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131559158","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028638141,0.08116147,0.78838694,0.0069945655,0.0032863782,0.00012233047,0.00016050316,0.00079158146,0.09045807],"genre_scores_gemma":[0.70185494,0.062637925,0.16986328,0.0022142173,0.0030494758,0.0001278773,0.00021052161,0.00020786526,0.05983392],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997408,0.000035640525,0.000011264911,0.00004719518,0.00014708708,0.00001799709],"domain_scores_gemma":[0.99978775,0.000046251866,0.000009192585,0.000030662355,0.00010928992,0.000016892329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003395466,0.0004599129,0.0005422475,0.00058013486,0.00041716584,0.0019197188,0.0013010486,0.0009509112,0.0056873737],"category_scores_gemma":[0.00056385424,0.00022954436,0.0003888597,0.0008328381,0.0007929769,0.003413585,0.0005618045,0.0014347498,0.001248582],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001622869,0.00011146615,0.00053709163,0.0011787041,0.0000793451,0.0003538955,0.00033044541,0.06330134,0.051404342,0.4660546,0.014888885,0.4015977],"study_design_scores_gemma":[0.00006246628,0.00047289618,0.00077182724,0.00030541763,0.00008636004,0.0009728272,0.00046720944,0.41118652,0.04688149,0.18284982,0.35582697,0.00011624361],"about_ca_topic_score_codex":0.0015360102,"about_ca_topic_score_gemma":0.0014200385,"teacher_disagreement_score":0.0056873737,"about_ca_system_score_codex":0.00090305647,"about_ca_system_score_gemma":0.00040805986,"threshold_uncertainty_score":0.01902622},"labels":[],"label_agreement":null},{"id":"W2133382406","doi":"10.1109/ias.2004.1348868","title":"Energy management of hydrogen-based stand-alone renewable energy system by using boost and buck converters","year":2004,"lang":"en","type":"article","venue":"Conference Record of the 2004 IEEE Industry Applications Conference, 2004. 39th IAS Annual Meeting.","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Energy storage; Converters; Electrical engineering; Renewable energy; Buck converter; Computer science; Hydrogen fuel; Automotive engineering; Engineering; Power (physics); Voltage; Fuel cells","score_opus":0.019405143909483946,"score_gpt":0.24240776894892416,"score_spread":0.2230026250394402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133382406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75895435,0.0024516464,0.20274897,0.0002146562,0.00023492736,0.0002366857,0.00040625964,0.003349102,0.031403434],"genre_scores_gemma":[0.9843466,0.0002303193,0.009256939,0.000042251228,0.00001660771,0.00003120843,0.000108832384,0.000034632525,0.0059325206],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987626,0.000013153172,0.000010626246,0.000022477429,0.000061549836,0.000015995101],"domain_scores_gemma":[0.9998765,0.00002506157,0.000015908758,0.000021275584,0.0000505694,0.000010786189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015814099,0.00033076707,0.00043090628,0.00023793001,0.0003043442,0.0005441139,0.00061687897,0.00027501758,0.003132195],"category_scores_gemma":[0.00013636661,0.00014257643,0.00020058929,0.00021482074,0.00011381678,0.00044027795,0.00018256495,0.00023754964,0.00073838455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072289555,0.00027871353,0.0016985349,0.0008551251,0.00010433652,0.00045613066,0.00030594962,0.01898989,0.8430765,0.002276367,0.0018248957,0.12941065],"study_design_scores_gemma":[0.0001262455,0.0011615679,0.0063777138,0.00007902231,0.00012883914,0.00072740717,0.00017249068,0.28189844,0.6898737,0.0019287657,0.017465424,0.00006036997],"about_ca_topic_score_codex":0.00057663454,"about_ca_topic_score_gemma":0.00090488343,"teacher_disagreement_score":0.003132195,"about_ca_system_score_codex":0.00017743645,"about_ca_system_score_gemma":0.00013451553,"threshold_uncertainty_score":0.010478258},"labels":[],"label_agreement":null},{"id":"W2136679961","doi":"10.1109/apec.1991.146175","title":"Improved transient performance of a 3-phase controlled rectifier using predictive control","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Transient (computer programming); Rectifier (neural networks); Simple (philosophy); Sequence (biology); Computer science; Controller (irrigation); Control theory (sociology); Precision rectifier; Phase (matter); Line (geometry); Model predictive control; State (computer science); Steady state (chemistry); Algorithm; Control (management); Engineering; Artificial intelligence; Voltage; Artificial neural network; Mathematics; Physics; Electrical engineering; Power factor; Recurrent neural network","score_opus":0.019434557250058365,"score_gpt":0.26241962202284497,"score_spread":0.2429850647727866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136679961","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23484471,0.00043248694,0.73563606,0.00022784862,0.0001426953,0.00007066801,0.00010144933,0.005447786,0.023096263],"genre_scores_gemma":[0.9801983,0.00010974087,0.016681114,0.000025015523,0.000016190746,0.00002320651,0.00005517628,0.000055694374,0.0028356253],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982363,0.000038006714,0.000010283194,0.000025740748,0.00008310293,0.000019269462],"domain_scores_gemma":[0.9997243,0.00012891747,0.000029833995,0.00004565988,0.00006252034,0.00000872041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040366198,0.00037485763,0.00043526676,0.00019373819,0.00021186618,0.00054841203,0.00053193036,0.0005773033,0.0031520382],"category_scores_gemma":[0.0009577054,0.000120857585,0.00022661146,0.00030849685,0.00020837782,0.0004782145,0.00021114481,0.00054216996,0.0007269553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001588194,0.00021931148,0.0015295254,0.0004558635,0.000075855656,0.0005452609,0.00057459966,0.40735492,0.25670153,0.011062129,0.0036480841,0.3162447],"study_design_scores_gemma":[0.000096202,0.00062405755,0.00084217126,0.000023435077,0.000042652675,0.00014937704,0.000023248047,0.95537335,0.03760002,0.0016732195,0.0035298583,0.00002237763],"about_ca_topic_score_codex":0.0014253157,"about_ca_topic_score_gemma":0.0008120133,"teacher_disagreement_score":0.0031520382,"about_ca_system_score_codex":0.00019908269,"about_ca_system_score_gemma":0.00020842989,"threshold_uncertainty_score":0.010544658},"labels":[],"label_agreement":null},{"id":"W2136963431","doi":"10.1109/vppc.2010.5728992","title":"Efficiency modeling and performance comparison of switched capacitor converter EV/PHEV drives","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Ripple; Capacitor; Waveform; EMI; Switched capacitor; Buck converter; Voltage; Buck–boost converter; Maximum power transfer theorem; Boost converter; Computer science; Electronic engineering; Electrical engineering; Inductor; Power (physics); Engineering; Electromagnetic interference; Physics","score_opus":0.018660454793941475,"score_gpt":0.27123969667106557,"score_spread":0.2525792418771241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136963431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55304754,0.0009300987,0.39378318,0.00016394303,0.00004941125,0.00013142475,0.00041397015,0.0020958188,0.049384583],"genre_scores_gemma":[0.99205244,0.00015665493,0.004039845,0.000010731599,0.0000060023226,0.000037163027,0.00014031734,0.00007626696,0.0034804174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996214,0.00005700196,0.000013583125,0.00004520503,0.00023695572,0.00002586003],"domain_scores_gemma":[0.9997255,0.00009559864,0.000018406685,0.000035068497,0.000118522235,0.000006821329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036290183,0.00058301084,0.00054922915,0.00059545814,0.00032536977,0.0008375356,0.00093978987,0.00048766696,0.0018400318],"category_scores_gemma":[0.00063592265,0.00018189165,0.0005189157,0.00046140415,0.00022862478,0.000640704,0.00019568663,0.00029662036,0.00086139754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037530242,0.00010651989,0.002567617,0.00025283845,0.00007643128,0.00018664272,0.00015814985,0.88930726,0.03359129,0.004948902,0.0012120261,0.06721699],"study_design_scores_gemma":[0.000013356546,0.00014782298,0.0014862539,0.000010279508,0.00001590176,0.00006598002,0.00003040511,0.9721077,0.022997992,0.00091136864,0.002201274,0.000011709566],"about_ca_topic_score_codex":0.0030247779,"about_ca_topic_score_gemma":0.0011557627,"teacher_disagreement_score":0.0030247779,"about_ca_system_score_codex":0.0008865496,"about_ca_system_score_gemma":0.00032681847,"threshold_uncertainty_score":0.0064323545},"labels":[],"label_agreement":null},{"id":"W2136998342","doi":"10.1109/isie.2014.6864927","title":"Hierarchical energy management scheme for multiple battery-based smart grids","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Energy management; State of charge; Computer science; Task (project management); Battery (electricity); Scheme (mathematics); Energy storage; Energy management system; Energy (signal processing); Smart grid; State (computer science); Reliability engineering; Distributed computing; Engineering; Electrical engineering; Systems engineering; Power (physics)","score_opus":0.012648622690635823,"score_gpt":0.23915534774811747,"score_spread":0.22650672505748165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136998342","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10199823,0.000609636,0.88195467,0.00028923166,0.00016860584,0.00020017703,0.00014494396,0.0022840193,0.012350334],"genre_scores_gemma":[0.9758931,0.000078572615,0.021582173,0.000040117116,0.000027378193,0.000052370655,0.000067180394,0.000012455432,0.0022467682],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978906,0.000025489448,0.000022563154,0.00006556219,0.000056438694,0.00004091957],"domain_scores_gemma":[0.99983335,0.000022732649,0.00002943726,0.000035232864,0.000051385687,0.000027867925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023686391,0.0003357836,0.00040241715,0.00031264027,0.0005857423,0.0006624483,0.00094046874,0.00029851974,0.0030510793],"category_scores_gemma":[0.0003032537,0.00013301149,0.00021667253,0.000334674,0.00023328904,0.0007750815,0.0007397175,0.000388627,0.0004920383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006921422,0.00034467716,0.0034099882,0.00037120358,0.00012558728,0.00085123215,0.00072041893,0.36002076,0.06650185,0.05642652,0.01193289,0.49860272],"study_design_scores_gemma":[0.00004918477,0.00014750908,0.00096170657,0.0000154382,0.000035460194,0.00015950856,0.00007580353,0.97472,0.00651643,0.011684743,0.0056098206,0.000024388803],"about_ca_topic_score_codex":0.002315124,"about_ca_topic_score_gemma":0.0041201045,"teacher_disagreement_score":0.0030510793,"about_ca_system_score_codex":0.00050429243,"about_ca_system_score_gemma":0.000484813,"threshold_uncertainty_score":0.010206878},"labels":[],"label_agreement":null},{"id":"W2138728510","doi":"10.1109/iembs.2008.4650543","title":"Measurement of current density vectors in a live pig for the study of human electro-muscular incapacitation devices","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Fields Institute for Research in Mathematical Sciences","funders":"","keywords":"Current (fluid); Current density; Measure (data warehouse); Biomedical engineering; Computer science; Physics; Electrical engineering; Medicine; Engineering; Data mining","score_opus":0.07902250054046264,"score_gpt":0.3194279264621974,"score_spread":0.24040542592173478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138728510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8627621,0.0010492135,0.13163905,0.00030191103,0.00011885456,0.00024033608,0.0002567099,0.0002708234,0.0033609604],"genre_scores_gemma":[0.94240403,0.0009686978,0.053494625,0.0001346072,0.000023321416,0.00016702301,0.0001980291,0.000033710032,0.0025758606],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988437,0.000022699838,0.000007630596,0.000036428577,0.000034238263,0.000014633882],"domain_scores_gemma":[0.99968326,0.00010724379,0.000044512588,0.000042127922,0.00008061765,0.00004227333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043229733,0.00022316238,0.00028142353,0.00036586894,0.00018892676,0.00026480478,0.00034656157,0.0006247444,0.0013732852],"category_scores_gemma":[0.00053801533,0.00017006088,0.00012597795,0.00019009858,0.0005692171,0.00063917495,0.00023541464,0.00046974243,0.0002955381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010936552,0.00007295013,0.0011847713,0.000046145247,0.000004759809,0.00021008686,0.0001191156,0.0001814471,0.9888791,0.00037787875,0.00010061964,0.008713794],"study_design_scores_gemma":[0.00005145721,0.0051038666,0.03173584,0.00006547297,0.000060524937,0.003185074,0.00034488062,0.00926419,0.94467574,0.0006856723,0.004791663,0.000035745285],"about_ca_topic_score_codex":0.000301459,"about_ca_topic_score_gemma":0.0002994113,"teacher_disagreement_score":0.0013732852,"about_ca_system_score_codex":0.00015674783,"about_ca_system_score_gemma":0.00016089616,"threshold_uncertainty_score":0.0045940876},"labels":[],"label_agreement":null},{"id":"W2139692614","doi":"10.1149/1.3268129","title":"Precision Measurements of the Coulombic Efficiency of Lithium-Ion Batteries and of Electrode Materials for Lithium-Ion Batteries","year":2009,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":365,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Faraday efficiency; Electrolyte; Lithium (medication); Electrode; Materials science; Ion; Capacity loss; Analytical Chemistry (journal); Chemistry; Chromatography","score_opus":0.015301904906980194,"score_gpt":0.26681129309979223,"score_spread":0.25150938819281204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139692614","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.359294,0.032431707,0.5766716,0.0009554813,0.00096599123,0.0005312595,0.0048727617,0.0039880653,0.02028916],"genre_scores_gemma":[0.8542988,0.0067705023,0.13062194,0.00045150993,0.00024354068,0.00037667115,0.0026538027,0.00037418318,0.0042091836],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9908958,0.0009641169,0.00055418775,0.0012305568,0.0060557043,0.0002994715],"domain_scores_gemma":[0.99013036,0.004245804,0.0007638837,0.0020308867,0.0027230864,0.00010595784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006088226,0.0008852797,0.00097517343,0.0020637223,0.0005690332,0.0016399394,0.0015612384,0.0017431504,0.0009770218],"category_scores_gemma":[0.01953054,0.0005834458,0.00047884195,0.0021928395,0.00082172325,0.0016193358,0.0010496461,0.0009958816,0.0009895208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003978982,0.00015881864,0.010793835,0.00081954343,0.00016763846,0.00014397744,0.00028001054,0.004695025,0.8242816,0.0054832217,0.0024294688,0.15034914],"study_design_scores_gemma":[0.000040622213,0.0004002062,0.016143916,0.00012770279,0.00011549502,0.00050175685,0.00009740971,0.0115680825,0.95407486,0.0025710564,0.0142389545,0.0001200088],"about_ca_topic_score_codex":0.0010949757,"about_ca_topic_score_gemma":0.0013616191,"teacher_disagreement_score":0.006088226,"about_ca_system_score_codex":0.0008452511,"about_ca_system_score_gemma":0.00068095105,"threshold_uncertainty_score":0.032198012},"labels":[],"label_agreement":null},{"id":"W2140527302","doi":"10.4271/2015-01-0252","title":"Model-Based Parameter Identification of Healthy and Aged Li-ion Batteries for Electric Vehicle Applications","year":2015,"lang":"en","type":"article","venue":"SAE International journal of alternative powertrains","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":122,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Identification (biology); Automotive engineering; Electric vehicle; Ion; Computer science; Engineering; Chemistry; Physics; Thermodynamics; Power (physics); Biology","score_opus":0.0440119523036398,"score_gpt":0.3428255683048897,"score_spread":0.2988136160012499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140527302","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22353515,0.00072708796,0.767135,0.00019961217,0.00007293009,0.000119728305,0.00046286307,0.003089626,0.0046579055],"genre_scores_gemma":[0.97970635,0.00014544274,0.01820443,0.000031222313,0.000006328206,0.00008119455,0.00029284848,0.00005232,0.0014798957],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999292,0.000015381393,0.0000073149145,0.000017764982,0.000020759566,0.000009695374],"domain_scores_gemma":[0.99982506,0.00005471096,0.000022604178,0.000024534214,0.00006696758,0.0000060948773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027608973,0.0006119553,0.0004224348,0.0003428586,0.00022268711,0.0005101225,0.00060064223,0.00046261947,0.0011686506],"category_scores_gemma":[0.0008845945,0.00021334211,0.0003812843,0.0001851304,0.00015368983,0.0005925953,0.00030660123,0.0003147925,0.0004301229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013537913,0.00006342793,0.0034394932,0.00013664446,0.00003975067,0.00011551036,0.00012337982,0.91275984,0.019931102,0.00076089136,0.0010184066,0.061476156],"study_design_scores_gemma":[0.0000049811615,0.000027493546,0.0007869337,0.0000046432497,0.0000074698323,0.000016292306,0.000019325797,0.9953218,0.0029638046,0.00035213475,0.00048823393,0.0000068515737],"about_ca_topic_score_codex":0.00782045,"about_ca_topic_score_gemma":0.00818439,"teacher_disagreement_score":0.00782045,"about_ca_system_score_codex":0.00038145023,"about_ca_system_score_gemma":0.00045788955,"threshold_uncertainty_score":0.015549898},"labels":[],"label_agreement":null},{"id":"W2142098279","doi":"10.1115/ht2012-58353","title":"A Feasibility Study of Auxiliary HVAC Systems for Reducing Idling Time of Long Haul Trucks","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Truck; Automotive engineering; Alternator; Battery (electricity); Fuel efficiency; HVAC; Engineering; Energy storage; Gas compressor; Air conditioning; Energy consumption; Waste management; Environmental science; Electrical engineering; Power (physics); Mechanical engineering","score_opus":0.043219897731758966,"score_gpt":0.31829868911812625,"score_spread":0.27507879138636726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142098279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9705184,0.00048043835,0.019367015,0.00012819358,0.000045038694,0.0003194515,0.00014627188,0.00023685573,0.008758362],"genre_scores_gemma":[0.9903599,0.00020921056,0.0065493598,0.000014659875,0.000009028717,0.000048368343,0.000082345774,0.000011080364,0.0027160803],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99979895,0.00005492046,0.0000092820865,0.000022068733,0.00008345032,0.000031322114],"domain_scores_gemma":[0.9995807,0.000119449775,0.000036018715,0.00003272546,0.00018994155,0.000041184594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044040533,0.00040922264,0.0003376371,0.00047141474,0.0004747692,0.00050592795,0.0005792662,0.00034869515,0.004454531],"category_scores_gemma":[0.000739129,0.00014873293,0.00024120681,0.00019097353,0.000177904,0.00048253342,0.00021324854,0.0002885294,0.00043739323],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0062866984,0.001298068,0.008623737,0.0014080441,0.00006642201,0.00064504624,0.00055176415,0.048316725,0.7192043,0.0027295519,0.0019937952,0.20887579],"study_design_scores_gemma":[0.0009611697,0.02794683,0.046644047,0.00013789834,0.0002993415,0.0009046294,0.0017134261,0.25153574,0.63865405,0.001473367,0.029609345,0.00012011349],"about_ca_topic_score_codex":0.0024149732,"about_ca_topic_score_gemma":0.002858715,"teacher_disagreement_score":0.004454531,"about_ca_system_score_codex":0.00039872967,"about_ca_system_score_gemma":0.00063612,"threshold_uncertainty_score":0.014901876},"labels":[],"label_agreement":null},{"id":"W2142328636","doi":"10.1149/ma2013-01/7/413","title":"The Impact of Lithium Diffusivity in the Active Electrode Material on the Power and Energy Density of Lithium-Ion Cells","year":2013,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"","keywords":"Lithium (medication); Thermal diffusivity; Ion; Materials science; Electrode; Energy density; Power density; Power (physics); Engineering physics; Chemistry; Thermodynamics; Physics; Psychology; Physical chemistry; Organic chemistry","score_opus":0.008087936180371935,"score_gpt":0.23685952773757132,"score_spread":0.2287715915571994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142328636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874392,0.006400268,0.0011744841,0.00038577817,0.000104577004,0.00001590019,0.0004323031,0.000053826905,0.0039936802],"genre_scores_gemma":[0.99703836,0.0011906668,0.00030328837,0.000029086223,0.000017888835,0.0000065986637,0.00010186868,0.000020776719,0.0012913195],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987364,0.000024430292,0.000009972502,0.000028155695,0.00003986126,0.000023891054],"domain_scores_gemma":[0.999065,0.0006178808,0.00008783749,0.000038720165,0.00015073593,0.00003981053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029534008,0.00027433145,0.00032221034,0.0001722408,0.00029487585,0.0007945827,0.00026317307,0.00044824317,0.0035302977],"category_scores_gemma":[0.0016282339,0.0002512754,0.00017123112,0.00018481257,0.00031683265,0.00087086513,0.00022204492,0.00031788074,0.00065146096],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0074545327,0.00023085986,0.0048158085,0.000534353,0.00007674094,0.0005478638,0.00010724805,0.007372415,0.9558985,0.0013853376,0.0013017653,0.020274563],"study_design_scores_gemma":[0.000057009598,0.00073719886,0.0048137377,0.000040130544,0.00008332222,0.00017855583,0.000085048945,0.0094706835,0.98200065,0.00021427026,0.0022931146,0.000026242667],"about_ca_topic_score_codex":0.00092808675,"about_ca_topic_score_gemma":0.0011156172,"teacher_disagreement_score":0.0035302977,"about_ca_system_score_codex":0.00046274628,"about_ca_system_score_gemma":0.00022469126,"threshold_uncertainty_score":0.011810005},"labels":[],"label_agreement":null},{"id":"W2142351882","doi":"10.1023/a:1003886931171","title":"Changes in positive lead/acid battery plates during charge/discharge cycling","year":2000,"lang":"en","type":"article","venue":"Journal of Applied Electrochemistry","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ryerson University","keywords":"X-ray photoelectron spectroscopy; Corrosion; Electrolyte; Scanning electron microscope; Electrochemistry; Capacity loss; Lead–acid battery; Chemistry; Materials science; Diffraction; Electrode; Analytical Chemistry (journal); Chemical engineering; Metallurgy; Composite material; Physical chemistry; Organic chemistry; Thermodynamics","score_opus":0.004841084485766198,"score_gpt":0.21954598759036928,"score_spread":0.21470490310460308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142351882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891355,0.00065388577,0.0010859772,0.0001603571,0.00009410837,0.000016036145,0.0010054117,0.00028831183,0.0075603602],"genre_scores_gemma":[0.99644357,0.0001279362,0.00023307285,0.000037679132,0.000014334279,0.000008690068,0.0003699785,0.000025681486,0.0027388989],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997397,0.000020493955,0.000009083233,0.000045913057,0.00011984101,0.000064878266],"domain_scores_gemma":[0.99928516,0.00023860252,0.00008288259,0.000056251876,0.0002678148,0.00006932719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022643004,0.0003789591,0.00032301768,0.0007836127,0.0007223757,0.00090320973,0.0008116927,0.00069237244,0.01219109],"category_scores_gemma":[0.00073538115,0.00022750146,0.00020278402,0.00063798577,0.0007013933,0.0006755833,0.0002848059,0.00068489026,0.0011383286],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036071285,0.00015558352,0.0040208627,0.0002655036,0.000052437706,0.0013997058,0.0008585684,0.00081736746,0.965775,0.0005854389,0.0014722993,0.02099017],"study_design_scores_gemma":[0.000037707883,0.0006608634,0.030857632,0.000024456904,0.000044235458,0.0004193243,0.00096750294,0.0028544958,0.9614293,0.00027500797,0.0023923868,0.000037036465],"about_ca_topic_score_codex":0.0023480812,"about_ca_topic_score_gemma":0.0019117784,"teacher_disagreement_score":0.01219109,"about_ca_system_score_codex":0.0003811129,"about_ca_system_score_gemma":0.00022163248,"threshold_uncertainty_score":0.040783226},"labels":[],"label_agreement":null},{"id":"W2143489426","doi":"10.1109/ccece.2014.6901072","title":"Integrated battery charger for delta connected machines in plug-in hybrid electric vehicles","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Battery charger; Battery (electricity); Plug-in; Electrical engineering; Dual (grammatical number); Computer science; Automotive engineering; Topology (electrical circuits); Electric vehicle; Engineering; Power (physics); Physics; Operating system","score_opus":0.012822986253592834,"score_gpt":0.24857419256844746,"score_spread":0.23575120631485463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143489426","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15286224,0.0023098218,0.80537874,0.0002222706,0.00040335956,0.00025551784,0.00038752332,0.006650073,0.031530548],"genre_scores_gemma":[0.95591986,0.0005140584,0.031540442,0.00006032303,0.000042118045,0.00008221154,0.00030038456,0.00008684934,0.011453677],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998809,0.000021081201,0.000007256483,0.0000162089,0.00006264145,0.000011806393],"domain_scores_gemma":[0.9999331,0.000010884349,0.000006936403,0.000011260719,0.000032426713,0.000005358596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011396176,0.0003363162,0.0003825759,0.00027180376,0.00023309627,0.0005337686,0.0008307897,0.00030652233,0.0037932736],"category_scores_gemma":[0.00015243847,0.00013958987,0.00020776143,0.00025651927,0.000112354894,0.00058223424,0.00030122485,0.000355798,0.0010739819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009911649,0.00039151768,0.002980094,0.0017811711,0.00018002371,0.0013625522,0.00030047848,0.1124185,0.21599442,0.02192579,0.019174617,0.6224997],"study_design_scores_gemma":[0.00026316327,0.0031311507,0.0053480337,0.00017492108,0.00022713367,0.002870368,0.0001811581,0.6823851,0.164782,0.009566621,0.13098776,0.000082550076],"about_ca_topic_score_codex":0.0003601314,"about_ca_topic_score_gemma":0.00065081,"teacher_disagreement_score":0.0037932736,"about_ca_system_score_codex":0.00018256338,"about_ca_system_score_gemma":0.00016333102,"threshold_uncertainty_score":0.012689769},"labels":[],"label_agreement":null},{"id":"W2143668917","doi":"10.1109/ecce.2009.5316505","title":"Analysis and design of a new ZCS-PWM full-bridge fuel cell converter","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Research Council Canada; National Science Council","keywords":"Converters; Pulse-width modulation; Boost converter; Computer science; Voltage; Half bridge; Bridge (graph theory); Electronic engineering; Current (fluid); Ćuk converter; Capacitor; Control theory (sociology); Electrical engineering; Engineering; Control (management)","score_opus":0.023333243653938577,"score_gpt":0.25949231340450724,"score_spread":0.23615906975056866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143668917","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023378821,0.0010155074,0.9402938,0.00020739171,0.0001259748,0.00020046228,0.0000981218,0.0005370431,0.034143034],"genre_scores_gemma":[0.80684495,0.0018876254,0.16247326,0.00012226115,0.000069697264,0.0003456547,0.00023169427,0.00007395414,0.027950944],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981505,0.000015826701,0.000008353124,0.000026076106,0.00011997767,0.0000147021365],"domain_scores_gemma":[0.99992716,0.000014250147,0.000009055854,0.0000051844245,0.000039826424,0.000004540907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027152352,0.0003760341,0.0006898998,0.00041679275,0.00037562315,0.001135012,0.0009047053,0.00072272134,0.004378375],"category_scores_gemma":[0.00026443947,0.00029653695,0.00054895756,0.00038992078,0.0003350376,0.0006306211,0.00022261197,0.0005212131,0.0010241508],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025768878,0.00012677991,0.00082788046,0.0010598248,0.0001271867,0.00092912203,0.00029273087,0.4935006,0.20289198,0.12496667,0.0039096167,0.17110999],"study_design_scores_gemma":[0.00004109314,0.0001180031,0.00037927332,0.000039182523,0.00003538432,0.0003429682,0.000027061571,0.9618806,0.018396702,0.0048159263,0.013900954,0.000022835575],"about_ca_topic_score_codex":0.001890987,"about_ca_topic_score_gemma":0.0014797886,"teacher_disagreement_score":0.004378375,"about_ca_system_score_codex":0.0007256451,"about_ca_system_score_gemma":0.0008763666,"threshold_uncertainty_score":0.014647126},"labels":[],"label_agreement":null},{"id":"W2143945416","doi":"10.1109/ccece.2004.1347641","title":"Numerical simulation of a multipowered onboard drive train","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Battery (electricity); Transient (computer programming); Power (physics); Acceleration; Automotive engineering; Supercapacitor; Power electronics; Electrical engineering; Electric power system; Computer science; Engineering; Voltage; Capacitance","score_opus":0.017643316032777176,"score_gpt":0.28790024708334777,"score_spread":0.2702569310505706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143945416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8911574,0.0003420138,0.052787893,0.00081351656,0.0001862173,0.00012214106,0.00091931014,0.00029118886,0.053380273],"genre_scores_gemma":[0.9894673,0.00010435667,0.004169936,0.000053415122,0.000009680105,0.0000652977,0.00022239031,0.000023146986,0.005884435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985826,0.00003588641,0.0000072320145,0.000020147523,0.000035144745,0.00004326069],"domain_scores_gemma":[0.9995907,0.00019131166,0.00004257665,0.000025558698,0.00008271468,0.000067173685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021798897,0.0005034814,0.00070573,0.00041627002,0.0007581981,0.0010662656,0.00084116706,0.00180835,0.0049300888],"category_scores_gemma":[0.0010199235,0.00029753323,0.000629096,0.00050872326,0.000797434,0.00052597426,0.00081042474,0.00071386783,0.00028887595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004472038,0.00003134495,0.0006934164,0.00002141161,0.000011366308,0.0001210044,0.000031300227,0.99644744,0.00078104367,0.0007615769,0.00019102916,0.0008643045],"study_design_scores_gemma":[0.000014304997,0.000026199568,0.00031963727,0.000004070238,0.0000042285174,0.000011473087,0.000034051583,0.9988391,0.00022539812,0.00021996356,0.0002978699,0.0000036394083],"about_ca_topic_score_codex":0.021833297,"about_ca_topic_score_gemma":0.009854852,"teacher_disagreement_score":0.021833297,"about_ca_system_score_codex":0.00072613417,"about_ca_system_score_gemma":0.0007913102,"threshold_uncertainty_score":0.043412447},"labels":[],"label_agreement":null},{"id":"W2144966277","doi":"10.1002/er.1951","title":"Performance assessment of thermal management systems for electric and hybrid electric vehicles","year":2012,"lang":"en","type":"article","venue":"International Journal of Energy Research","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Refrigerant; Coolant; Automotive engineering; Electric vehicle; Battery (electricity); Nuclear engineering; Exergy; Electric-vehicle battery; Operating temperature; Environmental science; Engineering; Electrical engineering; Mechanical engineering; Gas compressor; Process engineering; Thermodynamics; Physics","score_opus":0.03233051497317986,"score_gpt":0.35084882485195057,"score_spread":0.3185183098787707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144966277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95907086,0.0012788097,0.030777585,0.00009877894,0.0000553789,0.000112217655,0.00022845116,0.0002189806,0.0081590535],"genre_scores_gemma":[0.99739826,0.00015096714,0.0014215971,0.000005023938,0.000005480633,0.00002611698,0.00010064198,0.00001079722,0.0008812006],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996581,0.00006467573,0.000021491625,0.000053861193,0.0001656662,0.000036214806],"domain_scores_gemma":[0.9996296,0.00010508647,0.000041917396,0.00002906852,0.00017755367,0.000016696118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006456769,0.0004729067,0.00034049133,0.00060365704,0.00029453728,0.00058339664,0.00039951882,0.00029338626,0.0015300587],"category_scores_gemma":[0.0010669327,0.00014197394,0.0003216729,0.0003335766,0.00018508981,0.0006654473,0.00037695578,0.0002005497,0.00031441246],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024689615,0.00044949967,0.023708863,0.0011552417,0.00019375035,0.000258027,0.00044083732,0.44268265,0.28260466,0.0034320366,0.0021989534,0.24040651],"study_design_scores_gemma":[0.000055648085,0.005708402,0.048245776,0.00006344359,0.00020695679,0.0002076226,0.0006532549,0.7032647,0.23149565,0.0012039898,0.008820847,0.00007378729],"about_ca_topic_score_codex":0.0011430085,"about_ca_topic_score_gemma":0.000986035,"teacher_disagreement_score":0.0015300587,"about_ca_system_score_codex":0.00060155836,"about_ca_system_score_gemma":0.00024876956,"threshold_uncertainty_score":0.005118549},"labels":[],"label_agreement":null},{"id":"W2145787620","doi":"10.1109/tvlsi.2003.819320","title":"A model for battery lifetime analysis for organizing applications on a pocket computer","year":2003,"lang":"en","type":"article","venue":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":213,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Battery (electricity); Maximization; Computer science; Computation; Lithium-ion battery; Simulation; Reliability engineering; Automotive engineering; Engineering; Power (physics); Algorithm","score_opus":0.024062209668307015,"score_gpt":0.2673917669405593,"score_spread":0.24332955727225225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145787620","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02314223,0.00089877535,0.947555,0.00081940443,0.00011077974,0.0001474279,0.0007309375,0.00090901525,0.025686497],"genre_scores_gemma":[0.82372916,0.0025549931,0.10050254,0.0004919098,0.0001893855,0.0011097452,0.00087863085,0.00045362124,0.07008995],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997787,0.000041055486,0.0000130421995,0.00004172182,0.0000820056,0.000043539847],"domain_scores_gemma":[0.9996642,0.00014229896,0.000030013036,0.000033198976,0.00011207894,0.00001819867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030374766,0.0006814195,0.0006205663,0.000606277,0.00063525845,0.00095225754,0.001909935,0.0015868434,0.012000576],"category_scores_gemma":[0.0015992832,0.0003567697,0.0007383005,0.0008228927,0.00043425657,0.0017870654,0.00060248876,0.0012142152,0.0026237897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049014725,0.000037737627,0.00043198394,0.00008358672,0.000012668858,0.00014212684,0.00008781511,0.94551754,0.0035036032,0.03368945,0.0031963266,0.013248],"study_design_scores_gemma":[0.0000058870246,0.000015379685,0.00010591296,0.00000685211,0.0000062835816,0.00003824491,0.000012000485,0.99207145,0.00023657034,0.005332029,0.0021635913,0.0000057538336],"about_ca_topic_score_codex":0.010910671,"about_ca_topic_score_gemma":0.008175988,"teacher_disagreement_score":0.012000576,"about_ca_system_score_codex":0.0010658731,"about_ca_system_score_gemma":0.0008961949,"threshold_uncertainty_score":0.040145993},"labels":[],"label_agreement":null},{"id":"W2147185805","doi":"10.1109/ias.1999.799184","title":"Experimental 400 kW sec double-layer capacitor energy storage system","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Capacitor; Energy storage; Electrical engineering; Voltage; Filter capacitor; Film capacitor; Materials science; Supercapacitor; Power (physics); Equivalent series resistance; Reservoir capacitor; Decoupling capacitor; Computer science; Engineering; Electrode; Capacitance; Physics","score_opus":0.023498112378673164,"score_gpt":0.25770887262486075,"score_spread":0.2342107602461876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147185805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949825,0.000038799724,0.0011591492,0.000049726936,0.000025003248,0.000085507396,0.00095136743,0.00022576441,0.0024820305],"genre_scores_gemma":[0.99516666,0.00007014596,0.00093021,0.0000218657,0.0000073985493,0.00006613262,0.00040133714,0.000016669612,0.0033195715],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998684,0.00001147787,0.000015322219,0.000031691354,0.000050921495,0.000022105296],"domain_scores_gemma":[0.9998248,0.000032353822,0.000013148659,0.00003008713,0.000074849704,0.00002479736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016027798,0.00035011568,0.0008679971,0.0002722862,0.0004762282,0.00035264177,0.0006723461,0.0005372098,0.011531003],"category_scores_gemma":[0.0002538198,0.00020695418,0.0001792943,0.000563225,0.000380523,0.0007089525,0.00039734872,0.0003913678,0.0010662442],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0047739297,0.0011249359,0.0063400366,0.0012879713,0.00018306599,0.0012734631,0.0006764247,0.022439152,0.922397,0.0019435482,0.00345869,0.03410167],"study_design_scores_gemma":[0.00074012706,0.0066822036,0.017706033,0.000046754452,0.00013898766,0.0003809653,0.0006712084,0.037379403,0.9250156,0.0007405923,0.0104330415,0.000065072665],"about_ca_topic_score_codex":0.0015383594,"about_ca_topic_score_gemma":0.001312734,"teacher_disagreement_score":0.011531003,"about_ca_system_score_codex":0.00049180293,"about_ca_system_score_gemma":0.00031442658,"threshold_uncertainty_score":0.038574994},"labels":[],"label_agreement":null},{"id":"W2147845453","doi":"10.1007/s40243-015-0052-y","title":"Fractional-order models of supercapacitors, batteries and fuel cells: a survey","year":2015,"lang":"en","type":"article","venue":"Materials for Renewable and Sustainable Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":210,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Supercapacitor; Capacitor; Order (exchange); Energy storage; Electrical impedance; Fuel cells; Energy (signal processing); Electrical engineering; Computer science; Electrochemistry; Engineering; Business; Physics; Finance; Thermodynamics; Mathematics; Voltage; Electrode; Chemical engineering; Statistics","score_opus":0.02328210588124241,"score_gpt":0.24158719912217264,"score_spread":0.21830509324093023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147845453","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012497901,0.06877825,0.8803656,0.0010699996,0.0004745012,0.0000623505,0.0005160918,0.0006572356,0.035578012],"genre_scores_gemma":[0.61165696,0.1875908,0.17041661,0.0008681777,0.0013998101,0.00037467235,0.0017032999,0.00045863155,0.025531054],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.999699,0.00007365442,0.00002425372,0.000042335803,0.00013704954,0.000023727089],"domain_scores_gemma":[0.9995159,0.0002662187,0.00004630005,0.000054966524,0.00010436575,0.000012169616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005118489,0.0013635786,0.0014714894,0.0013056216,0.00046577392,0.0014557414,0.0018346553,0.0016403798,0.0024888453],"category_scores_gemma":[0.0017104124,0.00043299515,0.0010749748,0.002023476,0.0005736486,0.0018791534,0.00049812905,0.0011614326,0.0011964331],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010854443,0.00013996175,0.0010720729,0.0022323087,0.00010913431,0.00036464224,0.00026948427,0.58549255,0.0070327064,0.21633102,0.0069895405,0.17985801],"study_design_scores_gemma":[0.000013641129,0.000078258374,0.00030392126,0.00022622125,0.000049847476,0.0003503474,0.00006987772,0.82814425,0.0020053035,0.11471695,0.053978007,0.00006333755],"about_ca_topic_score_codex":0.0024295857,"about_ca_topic_score_gemma":0.0018156845,"teacher_disagreement_score":0.0024888453,"about_ca_system_score_codex":0.00070252013,"about_ca_system_score_gemma":0.00062590896,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2148726453","doi":"10.3390/en8087729","title":"Stability Analysis for Li-Ion Battery Model Parameters and State of Charge Estimation by Measurement Uncertainty Consideration","year":2015,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Specialized Research Fund for the Doctoral Program of Higher Education of China; National High-tech Research and Development Program; Canada Excellence Research Chairs, Government of Canada","keywords":"Control theory (sociology); Parametric statistics; Voltage; Sampling (signal processing); Battery (electricity); Kalman filter; State of charge; Stability (learning theory); Estimation theory; Observational error; Statistics; Algorithm; Mathematics; Computer science; Engineering; Filter (signal processing); Electrical engineering; Physics","score_opus":0.0765553370571879,"score_gpt":0.2787191783751227,"score_spread":0.20216384131793483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148726453","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09936307,0.00071783713,0.89414155,0.00025922677,0.00004657624,0.000045128556,0.00010661468,0.00043379518,0.004886229],"genre_scores_gemma":[0.9899266,0.0002776087,0.008550639,0.000026731874,0.0000147376195,0.00005845012,0.00011360716,0.000043686243,0.0009879218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991918,0.00017704364,0.000043560372,0.00019031361,0.0003252287,0.00007210888],"domain_scores_gemma":[0.99834394,0.00079543644,0.00019125846,0.00014936319,0.00050317333,0.000016794867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012524406,0.0006874783,0.0005350291,0.0006216194,0.00048401539,0.00076492847,0.00056714,0.0005480183,0.00097419234],"category_scores_gemma":[0.006141342,0.00027422004,0.0008274604,0.00044870982,0.0005769138,0.001118443,0.00086076406,0.00075187464,0.00017396962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015835204,0.000027637938,0.004652071,0.00018947774,0.00008192889,0.00019265166,0.00026831572,0.9362216,0.0117931655,0.009999584,0.0005022519,0.035912935],"study_design_scores_gemma":[0.0000027885446,0.000020959409,0.001076776,0.000008617374,0.00001445487,0.000029465475,0.000025363935,0.9946061,0.0025374861,0.0013319316,0.00033401354,0.000012020961],"about_ca_topic_score_codex":0.009613996,"about_ca_topic_score_gemma":0.0037959935,"teacher_disagreement_score":0.009613996,"about_ca_system_score_codex":0.00071412296,"about_ca_system_score_gemma":0.0009651608,"threshold_uncertainty_score":0.019116044},"labels":[],"label_agreement":null},{"id":"W2152625138","doi":"10.1149/ma2014-02/1/15","title":"Thermal Analysis of High-Power Prismatic LiFePO<sub>4 </sub>batteries: Modeling and Experiment","year":2014,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Battery (electricity); Multiphysics; Heat generation; Materials science; Voltage; Heat transfer; Mechanics; Thermal conduction; Thermodynamics; Open-circuit voltage; Power (physics); Electrical engineering; Nuclear engineering; Finite element method; Physics; Engineering; Composite material","score_opus":0.012402249146051772,"score_gpt":0.24228420294973774,"score_spread":0.22988195380368598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152625138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95063406,0.0011527798,0.038764913,0.00020950526,0.000038215723,0.00008509635,0.00078474847,0.000340652,0.007990108],"genre_scores_gemma":[0.99463516,0.00037640805,0.0031680884,0.000014102377,0.0000050547724,0.000054819586,0.00015284974,0.00001679175,0.0015767472],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998652,0.000014103858,0.0000059972963,0.000029835013,0.00007143219,0.000013505375],"domain_scores_gemma":[0.999874,0.000054232944,0.000013445299,0.000019167392,0.000032761767,0.0000063771836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023934545,0.00040146997,0.0004808563,0.00017419519,0.00024936016,0.00040268232,0.0007513851,0.00054067955,0.001636998],"category_scores_gemma":[0.00028713178,0.000178382,0.00050374836,0.00041534033,0.000313357,0.0008410084,0.00026815335,0.00033240646,0.00034061164],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068676414,0.00026121648,0.0063368888,0.0011515359,0.00006355223,0.0007600318,0.00039470807,0.695249,0.25103787,0.0025816078,0.0018448705,0.03963189],"study_design_scores_gemma":[0.000044611374,0.0006481014,0.0061347634,0.00002386131,0.000038127357,0.0001950162,0.00017664983,0.8706292,0.1188564,0.0010380674,0.0021759022,0.000039395763],"about_ca_topic_score_codex":0.0010518333,"about_ca_topic_score_gemma":0.0010909894,"teacher_disagreement_score":0.001636998,"about_ca_system_score_codex":0.00041009684,"about_ca_system_score_gemma":0.00025094766,"threshold_uncertainty_score":0.0054763556},"labels":[],"label_agreement":null},{"id":"W2154078475","doi":"10.1109/epec.2009.5420372","title":"Power peak shaving for a subway an opportunity study","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Peaking power plant; Lead–acid battery; Payback period; Energy storage; Electrical engineering; Automotive engineering; Power (physics); Duration (music); Peak demand; Engineering; Environmental science; Computer science; Battery (electricity); Renewable energy; Electricity; Distributed generation","score_opus":0.047924096477548514,"score_gpt":0.3354349737549816,"score_spread":0.2875108772774331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154078475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9011458,0.00025470843,0.004747678,0.0012045725,0.000088076515,0.00022466987,0.00076386484,0.00018372819,0.09138683],"genre_scores_gemma":[0.9680766,0.0001972218,0.0014956936,0.000082222134,0.000020137257,0.00003066825,0.00019976748,0.000015261987,0.029882563],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999114,0.000009426495,9.802822e-7,0.000010892502,0.00003223632,0.00003515201],"domain_scores_gemma":[0.99985313,0.000010444203,0.000006842555,0.000006954805,0.000056710465,0.00006586678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013922763,0.00017345282,0.000118515076,0.00035138702,0.0009838444,0.00066476624,0.00046755062,0.00018852185,0.0064819376],"category_scores_gemma":[0.00017909762,0.000057510315,0.00013145956,0.00044183523,0.00014766729,0.00031591454,0.00028810033,0.00034986844,0.0003390444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019840908,0.002948091,0.19766283,0.00033823116,0.00019570372,0.0075890496,0.007337613,0.0745997,0.04130304,0.071828276,0.12152745,0.472686],"study_design_scores_gemma":[0.0003072637,0.0033722625,0.49077788,0.00009804062,0.00012529892,0.0005423757,0.02881253,0.073783174,0.015356724,0.009959334,0.37672243,0.00014278601],"about_ca_topic_score_codex":0.35810798,"about_ca_topic_score_gemma":0.72708285,"teacher_disagreement_score":0.35810798,"about_ca_system_score_codex":0.0028516895,"about_ca_system_score_gemma":0.0038482884,"threshold_uncertainty_score":0.7120471},"labels":[],"label_agreement":null},{"id":"W2156240198","doi":"10.1109/acc.2013.6580563","title":"Online state and parameter estimation of the Li-ion battery in a Bayesian framework","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Battery (electricity); Observability; State of charge; State of health; Computer science; Particle filter; Lithium-ion battery; Estimation; Process (computing); Automotive industry; Online model; Control theory (sociology); Control engineering; Reliability engineering; Kalman filter; Engineering; Artificial intelligence; Control (management); Mathematics; Power (physics)","score_opus":0.01117722265419326,"score_gpt":0.26029488129848427,"score_spread":0.249117658644291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156240198","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012968299,0.00038718735,0.98536426,0.00014576672,0.00002067339,0.00001843435,0.00004937255,0.00019645666,0.00084955525],"genre_scores_gemma":[0.82795244,0.0018577131,0.16301529,0.00019667513,0.00017060923,0.000216209,0.00046774285,0.00010123447,0.006022042],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997112,0.000070261754,0.00001815141,0.000081720034,0.00008462441,0.000034074492],"domain_scores_gemma":[0.9990687,0.00058330724,0.0001216767,0.000043211036,0.00015036791,0.000032658736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008868889,0.0006267659,0.0013667203,0.000546378,0.00038212683,0.0011584057,0.0012574334,0.0013215458,0.0013032461],"category_scores_gemma":[0.0037399284,0.00070353615,0.00075612694,0.00056645984,0.0006490206,0.0017777737,0.00080829614,0.0011907694,0.00039742407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009948559,0.000039854527,0.0010647844,0.00010657419,0.00004629025,0.000079489175,0.00007488526,0.9428113,0.001926188,0.0101108225,0.00056534633,0.0430751],"study_design_scores_gemma":[0.0000049735977,0.000010237707,0.00018335132,0.0000049453142,0.000007317216,0.000012546924,0.0000036612137,0.9973272,0.0002380485,0.0019840298,0.00021684113,0.0000068899617],"about_ca_topic_score_codex":0.011887787,"about_ca_topic_score_gemma":0.00851051,"teacher_disagreement_score":0.011887787,"about_ca_system_score_codex":0.0007154806,"about_ca_system_score_gemma":0.0013389417,"threshold_uncertainty_score":0.023637176},"labels":[],"label_agreement":null},{"id":"W2156389859","doi":"10.1109/epec.2010.5697217","title":"Novel controller design for a Luo converter electric vehicle energy management system","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Converters; Computer science; Ripple; Buck converter; Waveform; Digital control; Controller (irrigation); Capacitor; Voltage; Electrical engineering; Electronic engineering; Control theory (sociology); Engineering; Control (management)","score_opus":0.01394921951933106,"score_gpt":0.2278076932296525,"score_spread":0.21385847371032143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156389859","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023501493,0.00047907923,0.95703727,0.00016015467,0.0002148259,0.00020707735,0.000051841416,0.0016848311,0.016663468],"genre_scores_gemma":[0.8248582,0.00038355563,0.15528832,0.00031069224,0.00017846456,0.00038779902,0.00010193818,0.000069877125,0.018421175],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998572,0.000014004604,0.000010377793,0.000035053992,0.00007030466,0.000012994739],"domain_scores_gemma":[0.99992454,0.000011652049,0.000008670736,0.0000066583752,0.00004248941,0.000005974902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018355831,0.0003568645,0.00030185186,0.00025573466,0.00041294825,0.00087799726,0.0007349727,0.00038958344,0.0034222275],"category_scores_gemma":[0.00017386895,0.00018467731,0.00015777229,0.00013123637,0.00016695115,0.00033289738,0.00021429887,0.00047868903,0.0008608896],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046942764,0.0002281662,0.00091173704,0.0006107364,0.00013735102,0.00051743945,0.00030222328,0.06265939,0.36155036,0.025006093,0.006615179,0.54099196],"study_design_scores_gemma":[0.00023757608,0.00079771434,0.001246011,0.00006989847,0.000103832754,0.0007413622,0.00007754541,0.8145468,0.11938726,0.0032071057,0.05952499,0.000059831713],"about_ca_topic_score_codex":0.0008994104,"about_ca_topic_score_gemma":0.0012090834,"teacher_disagreement_score":0.0034222275,"about_ca_system_score_codex":0.00031562732,"about_ca_system_score_gemma":0.00039820606,"threshold_uncertainty_score":0.011448503},"labels":[],"label_agreement":null},{"id":"W2156460414","doi":"10.1109/iecon.2005.1569080","title":"Design of an efficient fuel cell vehicle drivetrain, featuring a novel boost converter","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Drivetrain; Automotive engineering; Internal combustion engine; Hydrogen fuel; Energy management; Fuel cells; Hybrid vehicle; Computer science; Energy storage; Hydrogen vehicle; Power (physics); Torque; Engineering; Energy (signal processing)","score_opus":0.019120051528989983,"score_gpt":0.24213170590472735,"score_spread":0.22301165437573736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156460414","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048388164,0.0010730255,0.9263125,0.00037725174,0.0002519712,0.00058318354,0.00017875548,0.0009650863,0.021869982],"genre_scores_gemma":[0.63854706,0.0012627956,0.3429377,0.00018089962,0.00013305263,0.0007161675,0.00028757847,0.00008206458,0.015852641],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990714,0.000006500809,0.0000052092596,0.000018856803,0.00005452516,0.000007762306],"domain_scores_gemma":[0.99994445,0.000006698608,0.000007622675,0.0000037562602,0.00003157225,0.0000059158097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001766732,0.0003166231,0.00037527757,0.0002601016,0.00034812585,0.0006820188,0.00076023256,0.0003865735,0.001472676],"category_scores_gemma":[0.00013587157,0.00023099294,0.00018024545,0.00023081042,0.00017608675,0.00039813755,0.0001897348,0.00036201294,0.000686684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018875898,0.00025238947,0.00093518913,0.0010598274,0.000105438194,0.0004974621,0.00018400044,0.094629794,0.5282079,0.039830383,0.005283048,0.3288258],"study_design_scores_gemma":[0.00021516917,0.0012642782,0.0021314572,0.000058239217,0.00012018209,0.0010160011,0.000076821096,0.7316158,0.16751023,0.006594549,0.089333974,0.00006321276],"about_ca_topic_score_codex":0.0007320829,"about_ca_topic_score_gemma":0.0011323434,"teacher_disagreement_score":0.001472676,"about_ca_system_score_codex":0.00032153339,"about_ca_system_score_gemma":0.00059389404,"threshold_uncertainty_score":0.004926622},"labels":[],"label_agreement":null},{"id":"W2157821305","doi":"10.1149/2.047401jes","title":"A Computationally-Effective Thermal Model for Spirally Wound Nickel-Metal Hydride Batteries","year":2013,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Institute of Mental Health","keywords":"Thermal conduction; Transient (computer programming); Battery (electricity); Thermal; Mechanics; Materials science; Nickel; Orthotropic material; Series (stratigraphy); Convection; Thermodynamics; Convective heat transfer; Composite material; Metallurgy; Physics; Finite element method; Computer science","score_opus":0.009281125750772697,"score_gpt":0.2455737369303431,"score_spread":0.2362926111795704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157821305","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20029761,0.0007224296,0.7669033,0.00042808702,0.00011930922,0.000117871656,0.00034440166,0.0004281946,0.030638836],"genre_scores_gemma":[0.9627861,0.000517541,0.0199499,0.000068073714,0.00002465692,0.00019478954,0.000121192366,0.000056012675,0.016281689],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999429,0.000011890971,0.0000029334362,0.000010697603,0.0000190802,0.000012455095],"domain_scores_gemma":[0.9999229,0.000023710325,0.000012433117,0.000010086319,0.000021008265,0.000009910767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013892952,0.0003942889,0.00057223154,0.00023017554,0.0003201276,0.00055117003,0.0008478307,0.0007387914,0.0018084843],"category_scores_gemma":[0.0003795696,0.000255702,0.00050598755,0.00028834242,0.00054991356,0.0007657883,0.00042219606,0.0003858088,0.0003422406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035424153,0.000015972642,0.0002545771,0.00004499406,0.000006364533,0.00015997712,0.00005799632,0.97571295,0.009411327,0.011484351,0.00028398828,0.0025322249],"study_design_scores_gemma":[0.0000037590908,0.000009690806,0.000048574046,0.0000020897803,0.0000017449581,0.000022970107,0.000010754134,0.9978676,0.0005071553,0.0011682005,0.0003539154,0.0000034569257],"about_ca_topic_score_codex":0.0023916513,"about_ca_topic_score_gemma":0.0015153794,"teacher_disagreement_score":0.0023916513,"about_ca_system_score_codex":0.0004719833,"about_ca_system_score_gemma":0.00064028375,"threshold_uncertainty_score":0.0060499907},"labels":[],"label_agreement":null},{"id":"W2158883698","doi":"10.1149/2.049404jes","title":"Comparative Study on Methylene Methyl Disulfonate (MMDS) and 1,3-Propane Sultone (PS) as Electrolyte Additives for Li-Ion Batteries","year":2014,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; Samsung; LG Chem","keywords":"Faraday efficiency; Electrolyte; Dielectric spectroscopy; Chemistry; Electrochemistry; Ethylene carbonate; Inorganic chemistry; Chemical engineering; Electrode","score_opus":0.016104936237614845,"score_gpt":0.29644373472652963,"score_spread":0.2803387984889148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158883698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912211,0.007091145,0.00066405383,0.0000392113,0.000031512634,0.000020174703,0.000060990988,0.000021635651,0.00085017894],"genre_scores_gemma":[0.9889607,0.0058997944,0.0031165176,0.000035175213,0.000022320759,0.000017899385,0.00016420991,0.00001133939,0.0017720064],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997334,0.000064665306,0.000037426336,0.00003994696,0.00009134729,0.00003329199],"domain_scores_gemma":[0.9997527,0.00007139038,0.000050393646,0.0000117599775,0.00006875223,0.000044920696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028737116,0.00045664335,0.00042265776,0.0005843165,0.00016428568,0.00031650992,0.00033142994,0.000337738,0.0009953456],"category_scores_gemma":[0.00039521692,0.00017362242,0.0003661317,0.0005369625,0.00013499225,0.00042325025,0.00025521705,0.00019332187,0.00020111498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010610226,0.00012969946,0.0009762026,0.00052142766,0.000040120893,0.00013947443,0.00005111549,0.00030690333,0.98340803,0.00007549388,0.000044251243,0.013246193],"study_design_scores_gemma":[0.000015289035,0.0018924804,0.002215476,0.000016368644,0.000077625766,0.0001297062,0.000048138118,0.0005619016,0.99293035,0.000009655059,0.0020947529,0.000008240755],"about_ca_topic_score_codex":0.0006818154,"about_ca_topic_score_gemma":0.0018983895,"teacher_disagreement_score":0.0009953456,"about_ca_system_score_codex":0.00016906542,"about_ca_system_score_gemma":0.00022855702,"threshold_uncertainty_score":0.0033297539},"labels":[],"label_agreement":null},{"id":"W2164992579","doi":"10.1109/tvt.2010.2088146","title":"Modeling, Simulation, and Control of an Advanced Luo Converter for Plug-In Hybrid Electric Vehicle Energy-Storage System","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Ripple; Energy storage; Capacitor; Engineering; Buck converter; Controller (irrigation); Waveform; Voltage; Electric vehicle; Boost converter; Traction motor; Electronic engineering; Electromagnetic interference; Electrical engineering; Control theory (sociology); Power (physics); Computer science","score_opus":0.00644504986777173,"score_gpt":0.23591522711074936,"score_spread":0.22947017724297764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164992579","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2809605,0.00056730723,0.6547792,0.0005166918,0.00023444962,0.00022405181,0.00059165165,0.0018792808,0.060246844],"genre_scores_gemma":[0.9851003,0.00017014559,0.009147736,0.000026523498,0.000012915837,0.00011406935,0.000104043735,0.000034841312,0.0052893986],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999155,0.000020254465,0.0000042367733,0.000010854603,0.000035513065,0.0000135947685],"domain_scores_gemma":[0.9998939,0.00003813323,0.000011906694,0.000010828305,0.000036488418,0.000008751201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020043977,0.0004293617,0.0006104573,0.00023906605,0.00044557825,0.00072510866,0.00064326613,0.00056218373,0.0034639207],"category_scores_gemma":[0.0003061263,0.000229281,0.00040973246,0.00019103836,0.00034326746,0.0004382049,0.00030766122,0.0004933105,0.00039375777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041771724,0.000024169072,0.00038332035,0.00003588233,0.000011803366,0.00007365519,0.00002571477,0.9907658,0.0027148558,0.002126912,0.00028253585,0.0035135744],"study_design_scores_gemma":[0.0000057339907,0.000011553325,0.000068939284,0.000001441615,0.0000025805466,0.0000061451537,0.0000043131454,0.9989693,0.0004382754,0.00019254276,0.00029771647,0.0000015606599],"about_ca_topic_score_codex":0.009450987,"about_ca_topic_score_gemma":0.0067123524,"teacher_disagreement_score":0.009450987,"about_ca_system_score_codex":0.00041187363,"about_ca_system_score_gemma":0.0006708011,"threshold_uncertainty_score":0.018791914},"labels":[],"label_agreement":null},{"id":"W2165107746","doi":"10.6000/1929-6002.2014.03.04.7","title":"Simulation Model of a Node for Smart Grid Applications, Equipped with Photovoltaic Panel, Energy Storage and Electric Vehicle","year":2014,"lang":"en","type":"article","venue":"Journal of Technology Innovations in Renewable Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Photovoltaic system; Smart grid; Electric vehicle; Energy storage; Automotive engineering; Grid; Electrical engineering; Node (physics); Computer science; Engineering; Power (physics); Physics; Structural engineering; Mathematics","score_opus":0.017474922991421095,"score_gpt":0.25519979265698123,"score_spread":0.23772486966556014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165107746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44202933,0.0013702434,0.38930538,0.0015533105,0.00046689017,0.0005345311,0.008029721,0.0025469554,0.15416381],"genre_scores_gemma":[0.94464964,0.0007118518,0.016725289,0.000107195425,0.000037613205,0.00057785807,0.001967574,0.0001067991,0.03511618],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998683,0.000037992355,0.000006818985,0.000028385248,0.000030111805,0.000028343402],"domain_scores_gemma":[0.999806,0.00007834688,0.000023205988,0.000014400162,0.000057305486,0.000020707736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001707648,0.00068281975,0.0007272252,0.0004424065,0.0007524377,0.00088168005,0.0014289669,0.0017956507,0.011676957],"category_scores_gemma":[0.00043623665,0.00032800806,0.00091850414,0.00055279105,0.0005433578,0.0007403098,0.00056450546,0.00070586486,0.00091778906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004632368,0.000020313248,0.0006151155,0.000046894413,0.000011601426,0.00010029751,0.000044587177,0.9940054,0.0011582893,0.0024542753,0.0003733922,0.0011235848],"study_design_scores_gemma":[0.000024955065,0.000043203854,0.0002916779,0.000012218661,0.000016069986,0.000031833166,0.00003855338,0.9959216,0.0006004184,0.0009802553,0.0020312262,0.000007992778],"about_ca_topic_score_codex":0.023816602,"about_ca_topic_score_gemma":0.01291643,"teacher_disagreement_score":0.023816602,"about_ca_system_score_codex":0.0008274395,"about_ca_system_score_gemma":0.0011596334,"threshold_uncertainty_score":0.04735595},"labels":[],"label_agreement":null},{"id":"W2165133276","doi":"10.1109/ccece.2011.6030702","title":"Repurposed battery for energy storage in applications of renewable energy for grid applications","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Manitoba; University of Manitoba","funders":"","keywords":"Battery (electricity); Energy storage; Renewable energy; Electrical engineering; Computer science; Transient (computer programming); Automotive engineering; Limit (mathematics); State of charge; Smart grid; Grid; Engineering; Power (physics)","score_opus":0.026127765784600507,"score_gpt":0.25526131816225495,"score_spread":0.22913355237765443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165133276","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34771404,0.005106239,0.6066181,0.00068115327,0.0005626218,0.00040361498,0.00033017094,0.0020303023,0.036553774],"genre_scores_gemma":[0.87851477,0.0016894542,0.09673922,0.00030245847,0.00010910583,0.00010823178,0.00020622829,0.00012629418,0.022204217],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999882,0.000019482892,0.000008986072,0.000027403737,0.000048993857,0.000013156171],"domain_scores_gemma":[0.9998211,0.000034291905,0.000018945486,0.000058198526,0.000056892284,0.000010558164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001835513,0.0003488664,0.00043491006,0.00027809618,0.00027288837,0.00062505057,0.0013094541,0.0005189473,0.0062367534],"category_scores_gemma":[0.00036489728,0.00014375824,0.00041119274,0.00023954682,0.0002889313,0.0015354522,0.00053339615,0.00055506895,0.001368905],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061372353,0.00021454062,0.0007048699,0.00047627592,0.000090862835,0.0014265225,0.00030379693,0.028164193,0.6739648,0.02006879,0.0022726036,0.27169898],"study_design_scores_gemma":[0.00009783897,0.002122028,0.002054965,0.00014111119,0.00015905523,0.002766253,0.0002794096,0.2109417,0.6688036,0.013634082,0.09891944,0.00008052551],"about_ca_topic_score_codex":0.00020007775,"about_ca_topic_score_gemma":0.000631758,"teacher_disagreement_score":0.0062367534,"about_ca_system_score_codex":0.00020186538,"about_ca_system_score_gemma":0.0001599432,"threshold_uncertainty_score":0.02086407},"labels":[],"label_agreement":null},{"id":"W2165413597","doi":"10.1149/2.0621506jes","title":"In-Situ Detection of Lithium Plating Using High Precision Coulometry","year":2015,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":351,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Nova Scotia Research Innovation Trust","keywords":"Faraday efficiency; Plating (geology); Lithium (medication); Stripping (fiber); Electrode; Coulometry; Materials science; Chemistry; Graphite; Analytical Chemistry (journal); Metallurgy; Electrochemistry; Composite material; Chromatography","score_opus":0.018486898849385393,"score_gpt":0.2791753663747363,"score_spread":0.2606884675253509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165413597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7603534,0.0020985529,0.22806025,0.0003806782,0.00023261372,0.00018559134,0.0011453788,0.0017489041,0.0057946853],"genre_scores_gemma":[0.90810883,0.0015825338,0.08568568,0.00020628236,0.000060140348,0.00016281281,0.0005391933,0.00010225205,0.0035522152],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990325,0.00017082864,0.000066346096,0.00019234349,0.00044118796,0.00009678614],"domain_scores_gemma":[0.99915206,0.0003908366,0.00012093936,0.00012313746,0.00018662699,0.000026433412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007722692,0.00068950513,0.0004632825,0.0010215334,0.00040615918,0.0009813944,0.0010351973,0.00082322216,0.0013079889],"category_scores_gemma":[0.0016766184,0.00036249362,0.0003070125,0.00083087437,0.00041184906,0.0006517075,0.00054841314,0.0007168285,0.0004602517],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040668296,0.000020624278,0.00075391104,0.0000847394,0.0000121462845,0.000032757147,0.000052157906,0.00018860362,0.9930775,0.00014090104,0.00011458845,0.0054813293],"study_design_scores_gemma":[0.00000424522,0.000056829456,0.0010242935,0.0000037611605,0.000010738005,0.0000650683,0.000028051445,0.0026739489,0.99517065,0.00007513431,0.00087951054,0.00000774479],"about_ca_topic_score_codex":0.0010385955,"about_ca_topic_score_gemma":0.0022611916,"teacher_disagreement_score":0.0013079889,"about_ca_system_score_codex":0.00063526724,"about_ca_system_score_gemma":0.00033606467,"threshold_uncertainty_score":0.004609227},"labels":[],"label_agreement":null},{"id":"W2165691774","doi":"10.1109/vppc.2011.6043149","title":"Hybrid electric vehicle power management strategy including battery lifecycle and degradation model","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Automotive engineering; Electric vehicle; Computer science; Internal combustion engine; Power (physics); Reliability engineering; Engineering","score_opus":0.0427931479624782,"score_gpt":0.25893646166730966,"score_spread":0.21614331370483147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165691774","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35709593,0.0008658296,0.59314483,0.00054018776,0.00009338411,0.00031046625,0.0007452491,0.0010778938,0.04612614],"genre_scores_gemma":[0.9848636,0.00021907403,0.0065861978,0.00003013051,0.000010664792,0.00012593278,0.00014434906,0.000027150465,0.007992792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984276,0.000035471556,0.000009883028,0.000027903294,0.00006103597,0.000022932449],"domain_scores_gemma":[0.9998416,0.00004183346,0.000023811086,0.000016489526,0.00006830906,0.000007914825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023901935,0.00049465464,0.0006297631,0.00032020363,0.00026306696,0.0006639355,0.0012025086,0.00070620165,0.0017030428],"category_scores_gemma":[0.0004995305,0.0002104129,0.00052543986,0.00020542584,0.0003920498,0.00097337214,0.00045625653,0.0004905851,0.00030908536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048003116,0.000029153402,0.0005010318,0.000045239874,0.000014011425,0.00009233899,0.00003639886,0.98593104,0.004173753,0.003723413,0.00024431897,0.0051611764],"study_design_scores_gemma":[0.000008407237,0.00003319503,0.00021760503,0.0000031396921,0.000007505329,0.000021585898,0.000011112041,0.9975074,0.0009650107,0.0007338975,0.0004871598,0.0000040824766],"about_ca_topic_score_codex":0.00738469,"about_ca_topic_score_gemma":0.0031309952,"teacher_disagreement_score":0.00738469,"about_ca_system_score_codex":0.00062952813,"about_ca_system_score_gemma":0.00056239247,"threshold_uncertainty_score":0.014683425},"labels":[],"label_agreement":null},{"id":"W2166454685","doi":"10.1109/itec.2014.6861766","title":"Comprehensive review of PV/EV/grid integration power electronic converter topologies for DC charging applications","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Converters; Electrical engineering; Grid; Photovoltaic system; Network topology; Electric vehicle; Computer science; Power (physics); Automotive engineering; Engineering; Voltage; Computer network; Physics","score_opus":0.015663057357641823,"score_gpt":0.2928100933635749,"score_spread":0.27714703600593305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166454685","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004997136,0.8831,0.043713465,0.00036691807,0.00096244307,0.00011004807,0.00018922993,0.00028294246,0.066277884],"genre_scores_gemma":[0.03426834,0.89984435,0.026447792,0.00036051066,0.0007692992,0.00009104303,0.0005156277,0.00009496683,0.037608124],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998253,0.000021584332,0.000022866097,0.00003160349,0.000087121174,0.000011527066],"domain_scores_gemma":[0.9998697,0.00004136863,0.000013660426,0.000009833579,0.000058810412,0.000006654849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023436989,0.0007213854,0.00063066767,0.0011775178,0.00022764856,0.0008131341,0.00068221317,0.00060374447,0.0092021935],"category_scores_gemma":[0.0003006499,0.00035717606,0.0004165747,0.002232612,0.0001058663,0.0011318619,0.0002989076,0.00056660187,0.005600471],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054451368,0.0000787547,0.00013044801,0.005904353,0.00004518743,0.00020284209,0.00004107928,0.0036148943,0.010198174,0.0058100102,0.014639597,0.9592802],"study_design_scores_gemma":[0.000012592221,0.00020960231,0.00074519357,0.0016128336,0.000094323375,0.001495061,0.000050691167,0.0042891707,0.0065683946,0.003726743,0.9811655,0.000030047906],"about_ca_topic_score_codex":0.00039506302,"about_ca_topic_score_gemma":0.00070038467,"teacher_disagreement_score":0.0092021935,"about_ca_system_score_codex":0.00019443846,"about_ca_system_score_gemma":0.00031893345,"threshold_uncertainty_score":0.030784369},"labels":[],"label_agreement":null},{"id":"W2166560425","doi":"10.1109/vppc.2009.5289848","title":"Battery pack modeling for the analysis of battery management system of a hybrid electric vehicle","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Internal resistance; Battery (electricity); Drivetrain; Automotive engineering; Battery pack; Electric vehicle; Thermal runaway; Reliability (semiconductor); State of charge; Automotive battery; Power (physics); Computer science; Engineering; Torque","score_opus":0.01646814172898379,"score_gpt":0.25211016773725026,"score_spread":0.23564202600826648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166560425","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040781096,0.00068999664,0.93779707,0.00023318654,0.00014290288,0.00012583527,0.0004946834,0.00083552446,0.018899672],"genre_scores_gemma":[0.9109319,0.0015872505,0.04491724,0.00017784139,0.00010449781,0.000575124,0.00084853655,0.0003530897,0.040504567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998907,0.000025316318,0.000006260661,0.000014679457,0.000050738712,0.000012226665],"domain_scores_gemma":[0.99989367,0.000038356364,0.000011240576,0.000013096675,0.00003997871,0.0000037528791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017755863,0.0005818723,0.00059575017,0.00032428867,0.00031488104,0.0006015564,0.0009049644,0.0009175661,0.0039074672],"category_scores_gemma":[0.0005544059,0.000302717,0.0008968385,0.00032694126,0.00022745201,0.0009921201,0.0003307573,0.0007179429,0.0014016585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029012997,0.000021361406,0.00049523567,0.000093327704,0.000022190392,0.000112773494,0.00007807674,0.975071,0.0070045535,0.0051902304,0.0009552647,0.0109269535],"study_design_scores_gemma":[0.0000022835886,0.000017733924,0.00016864292,0.0000053915264,0.0000073947363,0.000022223247,0.000009620118,0.997106,0.0006186284,0.0009128334,0.0011260996,0.0000031280422],"about_ca_topic_score_codex":0.006059259,"about_ca_topic_score_gemma":0.0042951726,"teacher_disagreement_score":0.006059259,"about_ca_system_score_codex":0.00036953256,"about_ca_system_score_gemma":0.00044885653,"threshold_uncertainty_score":0.013071775},"labels":[],"label_agreement":null},{"id":"W2168119026","doi":"10.1109/tsg.2011.2160296","title":"Design of a Novel Wavelet Based Transient Detection Unit for In-Vehicle Fault Determination and Hybrid Energy Storage Utilization","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Transient (computer programming); Fault detection and isolation; Reliability (semiconductor); Drivetrain; Wavelet; Reliability engineering; Energy storage; Wavelet transform; Engineering; Computer science; Battery (electricity); Automotive engineering; Fault (geology); Electrical engineering; Power (physics); Artificial intelligence; Torque","score_opus":0.072274311236695,"score_gpt":0.26626811676939993,"score_spread":0.19399380553270493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168119026","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043924943,0.00014350149,0.95028526,0.0001462499,0.00010991901,0.00028499187,0.00013409067,0.0022569743,0.002714069],"genre_scores_gemma":[0.63570285,0.00013890002,0.3583396,0.00015778528,0.00007535038,0.00041409285,0.00017729991,0.000105439154,0.0048886687],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976236,0.000030250334,0.000021317937,0.00007274694,0.00008781536,0.00002547387],"domain_scores_gemma":[0.99954957,0.00008820083,0.000069379064,0.000048933824,0.00020750388,0.000036514517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003207652,0.00046676956,0.0006337234,0.0004859422,0.0003106964,0.0006788287,0.0014924243,0.0006360132,0.0022744397],"category_scores_gemma":[0.00062518875,0.00031813025,0.00021902003,0.00030072502,0.00019143842,0.00066860864,0.000339897,0.00035318043,0.0010793097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084017933,0.00034825414,0.0026524912,0.00046160555,0.00009610146,0.00045527192,0.00018964573,0.024646698,0.5981485,0.0061715394,0.005150081,0.3608396],"study_design_scores_gemma":[0.00014290298,0.001697537,0.0033582319,0.000040417686,0.00013604268,0.00092647725,0.000061561586,0.575895,0.40055448,0.0008465079,0.016278282,0.000062547326],"about_ca_topic_score_codex":0.00046771244,"about_ca_topic_score_gemma":0.0005411694,"teacher_disagreement_score":0.0022744397,"about_ca_system_score_codex":0.00040445777,"about_ca_system_score_gemma":0.0005586301,"threshold_uncertainty_score":0.007608831},"labels":[],"label_agreement":null},{"id":"W2169597766","doi":"10.1109/fists.2011.5973650","title":"Active management of a heterogeneous energy store for electric vehicles","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Bombardier; Heinz Endowments","keywords":"Supercapacitor; Energy management; Automotive engineering; Computer science; Energy storage; Regenerative brake; Battery (electricity); Acceleration; Electric vehicle; Energy management system; Power management; Management system; Energy (signal processing); Model predictive control; Power (physics); Control (management); Engineering; Operations management; Brake","score_opus":0.026619718793118523,"score_gpt":0.24878981039836534,"score_spread":0.2221700916052468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169597766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.559026,0.0015952778,0.41495243,0.00062712113,0.00024049068,0.00014405792,0.0003199537,0.001132628,0.021962011],"genre_scores_gemma":[0.99163765,0.0001276517,0.004609663,0.00002860255,0.000026456111,0.000018169345,0.000058489986,0.000013673122,0.0034796142],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999498,0.0000043721216,0.0000034343173,0.000016365408,0.000016044465,0.000009886348],"domain_scores_gemma":[0.9999236,0.000013335223,0.000008981956,0.000013575043,0.000027688968,0.0000129288865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013244638,0.00024156952,0.00025373753,0.00020604237,0.00038787082,0.0008238044,0.00094098557,0.00018433019,0.002985756],"category_scores_gemma":[0.00019478417,0.00011297165,0.00013453222,0.00017559851,0.00025092205,0.0010275489,0.0005154622,0.00021720782,0.0004904869],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016033864,0.0006251374,0.006150117,0.00028709954,0.00013098538,0.0007881427,0.0003121207,0.2619287,0.27175507,0.03679615,0.008137863,0.41148522],"study_design_scores_gemma":[0.00006454359,0.00038928585,0.0014660367,0.00001964436,0.00007600061,0.00019384942,0.00022542453,0.91204226,0.058493376,0.012218155,0.01478048,0.000031000705],"about_ca_topic_score_codex":0.0009304229,"about_ca_topic_score_gemma":0.0026734879,"teacher_disagreement_score":0.002985756,"about_ca_system_score_codex":0.00027673616,"about_ca_system_score_gemma":0.00025689448,"threshold_uncertainty_score":0.009988308},"labels":[],"label_agreement":null},{"id":"W2169784778","doi":"10.1115/1.4029053","title":"Numerical Modeling of Submodule Heat Transfer With Phase Change Material for Thermal Management of Electric Vehicle Battery Packs","year":2014,"lang":"en","type":"article","venue":"Journal of Thermal Science and Engineering Applications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; General Motors of Canada","keywords":"Materials science; Phase-change material; Battery (electricity); Battery pack; Heat transfer; Thermodynamics; Thermal; Heat generation; Transient (computer programming); Mechanics; Power (physics); Physics","score_opus":0.01715939165275817,"score_gpt":0.2571761730412749,"score_spread":0.2400167813885167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169784778","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26601622,0.001555586,0.69944924,0.00053352775,0.00030196685,0.00018169479,0.00034711586,0.00052787346,0.03108682],"genre_scores_gemma":[0.9585309,0.0005869238,0.030931374,0.000056915876,0.00003193757,0.00023047965,0.00013516366,0.000067895955,0.009428348],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998907,0.000027240732,0.000005333214,0.000016709273,0.000043131506,0.000016891732],"domain_scores_gemma":[0.99984336,0.000082299775,0.000020187594,0.00001186489,0.00003328146,0.000009012622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002362421,0.00046389832,0.0006048892,0.00029913711,0.00045918336,0.00068407843,0.0007446199,0.0011581342,0.0020766903],"category_scores_gemma":[0.0005982601,0.00030903376,0.0007420393,0.00034803094,0.00049705,0.00070069876,0.00039749814,0.00050710194,0.00035630324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018600094,0.000019082141,0.00027526476,0.000039162893,0.000007038952,0.000061157196,0.000030783987,0.98933864,0.00560442,0.0020485295,0.00011871336,0.0024386386],"study_design_scores_gemma":[0.0000024665853,0.000006729865,0.000049235878,0.0000021847525,0.0000013099074,0.000006443269,0.000004851493,0.99898595,0.00045591817,0.00022836543,0.0002547603,0.0000017323806],"about_ca_topic_score_codex":0.003912719,"about_ca_topic_score_gemma":0.0022169256,"teacher_disagreement_score":0.003912719,"about_ca_system_score_codex":0.00057568867,"about_ca_system_score_gemma":0.000672931,"threshold_uncertainty_score":0.0077798963},"labels":[],"label_agreement":null},{"id":"W2170510118","doi":"10.1109/tvlsi.2008.2000725","title":"Energy Budget Approximations for Battery-Powered Systems With a Fixed Schedule of Active Intervals","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Battery (electricity); Schedule; Computer science; Voltage; Energy (signal processing); Interval (graph theory); Energy consumption; Energy budget; Work (physics); Mathematical optimization; Electrical engineering; Control theory (sociology); Reliability engineering; Engineering; Power (physics); Mathematics; Artificial intelligence","score_opus":0.017816619297649442,"score_gpt":0.24426484853297728,"score_spread":0.22644822923532784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170510118","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037666757,0.0016493282,0.93765926,0.00066897913,0.00009059409,0.00006373458,0.0002744953,0.00039814934,0.02152864],"genre_scores_gemma":[0.8956187,0.0016720975,0.089912094,0.00022213113,0.00007960889,0.00020098982,0.0003604085,0.000303175,0.011630813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999582,0.000101990154,0.000016483327,0.000037362614,0.00014877655,0.00011332602],"domain_scores_gemma":[0.9982168,0.0012065568,0.00013956362,0.00012808068,0.00024305812,0.00006583051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011833508,0.000798483,0.0007031795,0.00065028114,0.0003577607,0.00091517554,0.0010267773,0.00078293274,0.004619735],"category_scores_gemma":[0.0065735006,0.00044971477,0.00073224196,0.000629141,0.0006495756,0.0011732549,0.0007171265,0.0012566018,0.0006479267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003903172,0.000008265288,0.00018282174,0.000029896446,0.0000062520226,0.000026880809,0.000026956386,0.9846256,0.0003111733,0.010576074,0.00063802354,0.003529132],"study_design_scores_gemma":[0.0000030698195,0.000003678237,0.000034627912,0.0000063497832,0.0000019792876,0.0000053382287,0.0000082488405,0.99717146,0.00008527273,0.0024193232,0.0002592377,0.0000014730616],"about_ca_topic_score_codex":0.011080392,"about_ca_topic_score_gemma":0.0074497936,"teacher_disagreement_score":0.011080392,"about_ca_system_score_codex":0.0016101443,"about_ca_system_score_gemma":0.0011208481,"threshold_uncertainty_score":0.022031784},"labels":[],"label_agreement":null},{"id":"W2171524223","doi":"10.1109/cec.2011.5949840","title":"Optimal design of an air-cooling system for a Li-Ion battery pack in Electric Vehicles with a genetic algorithm","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery pack; Battery (electricity); Genetic algorithm; Air cooling; Computer science; Ion; Automotive engineering; Electrical engineering; Engineering; Algorithm; Aerospace engineering; Physics; Power (physics); Thermodynamics","score_opus":0.02665426901412895,"score_gpt":0.23756078893029026,"score_spread":0.2109065199161613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171524223","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24729466,0.0009788412,0.73432785,0.0003999061,0.00009687655,0.00027161668,0.00008582876,0.0004272417,0.016117217],"genre_scores_gemma":[0.8700458,0.0003951778,0.124226205,0.00010364061,0.000022415052,0.00045787558,0.00009013061,0.000050799863,0.0046079783],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998572,0.000051965875,0.000004702224,0.000025436959,0.000031132622,0.000029673402],"domain_scores_gemma":[0.999671,0.00020551505,0.000039623068,0.000007092091,0.00006158123,0.00001528802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056158553,0.0008841357,0.0008349355,0.0006908285,0.0004423064,0.0008833968,0.0006354574,0.0013178933,0.0021552406],"category_scores_gemma":[0.0012099792,0.00057897426,0.0005935206,0.0004572854,0.0006102831,0.0004294694,0.00038099632,0.00047390716,0.0002174146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023087956,0.000019055531,0.00019742253,0.00002221207,0.000010126795,0.000019927791,0.00001802647,0.99355173,0.00060196663,0.0005680122,0.00011213377,0.0048562516],"study_design_scores_gemma":[0.000018571898,0.00004359286,0.00011019085,0.0000067107385,0.000010584673,0.00000492721,0.000014928974,0.9989504,0.00028499865,0.00030969552,0.0002426043,0.000002808393],"about_ca_topic_score_codex":0.007866767,"about_ca_topic_score_gemma":0.0055890237,"teacher_disagreement_score":0.007866767,"about_ca_system_score_codex":0.0008570273,"about_ca_system_score_gemma":0.0013836253,"threshold_uncertainty_score":0.015641987},"labels":[],"label_agreement":null},{"id":"W2171646582","doi":"10.1109/cdc.2012.6426009","title":"An electrochemical model-based particle filter approach for Lithium-ion battery estimation","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; Concordia University; Simon Fraser University","funders":"","keywords":"Battery (electricity); State of health; Particle filter; State of charge; Computer science; Lithium-ion battery; Nonlinear system; Automotive engineering; Engineering; Kalman filter; Power (physics); Artificial intelligence","score_opus":0.02870237962823412,"score_gpt":0.2876182100453735,"score_spread":0.2589158304171394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171646582","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0064521153,0.00023457335,0.99226826,0.00009335338,0.000049556726,0.000015838723,0.00002286689,0.00022168308,0.0006418502],"genre_scores_gemma":[0.72571385,0.0012338021,0.263883,0.00023488472,0.00021969796,0.00035530617,0.0003466941,0.00006608618,0.0079465825],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998246,0.00004179343,0.000013006007,0.00004706411,0.00005349674,0.000020056954],"domain_scores_gemma":[0.99951077,0.00028142057,0.000047534442,0.00002588801,0.0001202895,0.000014060578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005285963,0.0006034919,0.0010172408,0.0004663717,0.00035300438,0.0007803556,0.0009057429,0.0013020644,0.0010749819],"category_scores_gemma":[0.0016160274,0.0004571052,0.0006370191,0.0005470093,0.00034098982,0.0008017592,0.0004211786,0.0010114021,0.00032427753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056771638,0.000044843855,0.0007300121,0.000065866865,0.00005851977,0.00004633924,0.000040165425,0.9331515,0.0023413547,0.0033344324,0.0007239043,0.059406344],"study_design_scores_gemma":[0.0000034614366,0.0000079660695,0.00009418196,0.0000014912348,0.0000031889615,0.00000423686,0.0000016446583,0.99919635,0.00018136294,0.00033233847,0.00017068729,0.000003064999],"about_ca_topic_score_codex":0.014474275,"about_ca_topic_score_gemma":0.007843868,"teacher_disagreement_score":0.014474275,"about_ca_system_score_codex":0.0005457087,"about_ca_system_score_gemma":0.00084785296,"threshold_uncertainty_score":0.028780043},"labels":[],"label_agreement":null},{"id":"W2180315044","doi":"10.1109/ias.2009.5324824","title":"Implementation of Wavelet Controller for Battery Storage System of Hybrid Electric Vehicle","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Controller (irrigation); PID controller; Discrete wavelet transform; Wavelet; Control theory (sociology); Computer science; Battery (electricity); Computer data storage; Open-loop controller; Wavelet transform; Temperature control; Control engineering; Engineering; Computer hardware; Power (physics); Artificial intelligence; Control (management)","score_opus":0.01056824163762864,"score_gpt":0.2732344041962388,"score_spread":0.26266616255861014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2180315044","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05247165,0.00023733024,0.9400018,0.00008979247,0.00016615742,0.000110569286,0.000058915648,0.0017531863,0.0051106443],"genre_scores_gemma":[0.89821494,0.00023401955,0.0965852,0.000059744936,0.00004402388,0.00015074306,0.000119404256,0.000054923836,0.004537122],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998673,0.000012452017,0.000011515662,0.000028273802,0.0000673862,0.0000129793525],"domain_scores_gemma":[0.9998915,0.000015670927,0.000009044441,0.000012454681,0.00006380158,0.0000075050084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019410411,0.00025098093,0.00025324884,0.00019806104,0.00019007084,0.0003525969,0.0006626204,0.00024372872,0.0018306926],"category_scores_gemma":[0.00035364437,0.000114326176,0.00016521598,0.00011445947,0.00011977695,0.00028873113,0.00018887542,0.00030304908,0.0004168345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005064808,0.00020268236,0.0025800827,0.00051434827,0.00011025078,0.0005062224,0.0002892994,0.122052975,0.3242906,0.007860786,0.004260483,0.5368258],"study_design_scores_gemma":[0.000091365284,0.0003795582,0.0013917306,0.00001906174,0.000036692458,0.0002288337,0.000034225148,0.89004546,0.09794711,0.0007833982,0.009020257,0.000022327571],"about_ca_topic_score_codex":0.0008521033,"about_ca_topic_score_gemma":0.00073717564,"teacher_disagreement_score":0.0018306926,"about_ca_system_score_codex":0.00019208348,"about_ca_system_score_gemma":0.0002542771,"threshold_uncertainty_score":0.0061243176},"labels":[],"label_agreement":null},{"id":"W2186505336","doi":"","title":"Battery Management System For Electric Vehicle Applications","year":2011,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Electric vehicle; Management system; Computer science; Business; Engineering; Operations management; Physics","score_opus":0.02564053183951664,"score_gpt":0.21691757314091814,"score_spread":0.1912770413014015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186505336","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059485834,0.006492618,0.71358556,0.0023238356,0.0019102275,0.0007930391,0.0022730127,0.025896449,0.18723935],"genre_scores_gemma":[0.81614196,0.004103883,0.0500412,0.000811552,0.0004238857,0.00054547936,0.002484297,0.0003047427,0.12514305],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987364,0.000019144018,0.00001315236,0.000021524405,0.00006104578,0.000011509762],"domain_scores_gemma":[0.99985707,0.000013742284,0.0000083584955,0.000019474197,0.000094922914,0.0000065265726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013990623,0.00042472122,0.0003273723,0.00040131132,0.00054140645,0.00088073965,0.00082568184,0.00054361735,0.021646334],"category_scores_gemma":[0.00037459613,0.00013212499,0.00021550269,0.00046294942,0.0000967538,0.0011047408,0.00036682223,0.00040829665,0.006915366],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004818425,0.00028030513,0.0028198587,0.0012760174,0.00006912665,0.0007082181,0.00035800837,0.03350586,0.098376095,0.031868804,0.120842814,0.709413],"study_design_scores_gemma":[0.0001397859,0.00069568533,0.0034341873,0.0002815213,0.00013692763,0.0011644178,0.00023496136,0.29146135,0.06387162,0.012585311,0.6258981,0.000096142736],"about_ca_topic_score_codex":0.0016538453,"about_ca_topic_score_gemma":0.0017984435,"teacher_disagreement_score":0.021646334,"about_ca_system_score_codex":0.00039301917,"about_ca_system_score_gemma":0.00048153932,"threshold_uncertainty_score":0.07241416},"labels":[],"label_agreement":null},{"id":"W2198263708","doi":"","title":"Cascaded Use and Sustainable Management of Lithium-ion Batteries in Mobility and Stationary Power","year":2014,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Kungliga Tekniska Högskolan","keywords":"Lithium (medication); Power (physics); Electrical engineering; Automotive engineering; Environmental science; Engineering; Physics; Psychology; Thermodynamics","score_opus":0.008165768793227678,"score_gpt":0.2098637143716593,"score_spread":0.20169794557843163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2198263708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6888531,0.005169813,0.21874124,0.0021616144,0.00019071679,0.00025921199,0.0008581752,0.00046960014,0.08329651],"genre_scores_gemma":[0.9779237,0.0020600474,0.006555029,0.00005502315,0.00001941889,0.00006665183,0.00014477492,0.000027987371,0.013147308],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9998047,0.00004134819,0.000007053968,0.000042554584,0.000062886495,0.00004151833],"domain_scores_gemma":[0.99989223,0.00003508104,0.000021475758,0.000016771464,0.000027210472,0.0000072181756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002597804,0.0005603322,0.00033881902,0.0003282674,0.00035800535,0.0012028413,0.0011564196,0.00066671596,0.0032000046],"category_scores_gemma":[0.0004634152,0.00024048804,0.00078907906,0.00038590044,0.00042702915,0.0018722428,0.0008182138,0.00046662736,0.0006150907],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001555482,0.00015060975,0.004513213,0.00023443128,0.00005571444,0.0003418652,0.00022135749,0.85435313,0.015341646,0.03848696,0.0022032685,0.08394225],"study_design_scores_gemma":[0.000028127117,0.0007478601,0.003943491,0.0001411443,0.000056986726,0.00018868146,0.00041113602,0.9248511,0.024264961,0.021086304,0.024225459,0.00005471289],"about_ca_topic_score_codex":0.004859483,"about_ca_topic_score_gemma":0.005480784,"teacher_disagreement_score":0.004859483,"about_ca_system_score_codex":0.0014754351,"about_ca_system_score_gemma":0.0008105198,"threshold_uncertainty_score":0.010705113},"labels":[],"label_agreement":null},{"id":"W2200990036","doi":"10.1016/j.ifacol.2015.10.013","title":"An Optimal Energy Management System for Battery Electric Vehicles","year":2015,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Automotive engineering; Drivetrain; Battery electric vehicle; Driving range; Automotive industry; Battery (electricity); Powertrain; Range (aeronautics); Internal combustion engine; Energy management; Computer science; Power (physics); Energy (signal processing); Engineering; Torque","score_opus":0.020619434672146216,"score_gpt":0.2660092692019976,"score_spread":0.24538983452985136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2200990036","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045216624,0.0008251484,0.9334963,0.0004078088,0.00012692265,0.00018866763,0.00011242579,0.0005224176,0.019103691],"genre_scores_gemma":[0.9581918,0.00033896152,0.035942316,0.00007673556,0.000038102855,0.00020209457,0.00008239625,0.000020509382,0.0051069716],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997836,0.000043179232,0.000014065703,0.000063114145,0.000064065265,0.000031931537],"domain_scores_gemma":[0.999899,0.000023184744,0.00001923258,0.0000054517623,0.000045391058,0.00000769534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030844362,0.00068867207,0.0006421822,0.00040527544,0.0007294158,0.0010885815,0.000738939,0.00073548453,0.0030797953],"category_scores_gemma":[0.00044406852,0.00032850032,0.00039342965,0.00030141906,0.0003337767,0.000599922,0.00064956635,0.0005175274,0.0004322207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001267466,0.00008218899,0.00056299573,0.00013298038,0.00003274423,0.00015134065,0.000084085346,0.91532344,0.008099618,0.009292492,0.0017501501,0.06436114],"study_design_scores_gemma":[0.000014223908,0.000065114495,0.00013801457,0.0000084949415,0.000011786727,0.000021348806,0.00002491398,0.99531233,0.0008289729,0.0020954162,0.0014717786,0.000007667839],"about_ca_topic_score_codex":0.005171402,"about_ca_topic_score_gemma":0.005126425,"teacher_disagreement_score":0.005171402,"about_ca_system_score_codex":0.0007107252,"about_ca_system_score_gemma":0.00088504725,"threshold_uncertainty_score":0.010302961},"labels":[],"label_agreement":null},{"id":"W2202395211","doi":"10.1109/vppc.2015.7352888","title":"A Tri-State Bidirectional Buck-Boost Converter for a Battery&amp;#x002F;Supercapacitor Hybrid Energy Storage System in Electric Vehicle Applications","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Supercapacitor; Battery (electricity); Computer science; Energy storage; Buck converter; Electrical engineering; State (computer science); State of charge; Capacitance; Voltage; Physics; Engineering; Electrode; Power (physics); Thermodynamics; Algorithm","score_opus":0.02593227607128914,"score_gpt":0.25311834016154444,"score_spread":0.2271860640902553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2202395211","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11705319,0.0026161585,0.7006792,0.001368247,0.00094038324,0.00062055327,0.0009816767,0.008912469,0.16682814],"genre_scores_gemma":[0.8796748,0.0011815295,0.06283242,0.00036271376,0.0000984001,0.0002278734,0.000459633,0.00018699985,0.0549757],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985754,0.000013604758,0.0000117353065,0.000029475814,0.00007240846,0.000015367037],"domain_scores_gemma":[0.9999125,0.000008214765,0.0000072025064,0.000011356642,0.000050730967,0.000010002237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000165253,0.00028644822,0.00035370217,0.00040999052,0.00059929164,0.0009317256,0.0008550684,0.000448169,0.010267264],"category_scores_gemma":[0.000116553565,0.0002060907,0.00032123007,0.00054951455,0.00016968107,0.00067145925,0.00028368854,0.0008182914,0.003950567],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006277339,0.0005613812,0.00088447577,0.001473635,0.000108983506,0.0008857116,0.0006026567,0.013138121,0.55834323,0.02747595,0.027136054,0.3687621],"study_design_scores_gemma":[0.00014573128,0.0013742571,0.0028296222,0.00026610438,0.00016687124,0.0028558285,0.00031884553,0.35038838,0.4689919,0.008953171,0.1635469,0.00016229005],"about_ca_topic_score_codex":0.0009162928,"about_ca_topic_score_gemma":0.0014700132,"teacher_disagreement_score":0.010267264,"about_ca_system_score_codex":0.00028263434,"about_ca_system_score_gemma":0.00051210437,"threshold_uncertainty_score":0.034347415},"labels":[],"label_agreement":null},{"id":"W2207357829","doi":"10.1109/vppc.2015.7352997","title":"Power Quality Device for Future Household Systems with Fast Electric Vehicle Charging Station","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec","funders":"","keywords":"Power factor; Voltage; Electrical engineering; Total harmonic distortion; Active filter; Renewable energy; Smart grid; Power quality; AC power; Engineering; Grid; Electric power system; Harmonic; Compensation (psychology); Harmonics; Switched-mode power supply; Electronic engineering; Computer science; Power (physics)","score_opus":0.04332447309527351,"score_gpt":0.2946651822183298,"score_spread":0.25134070912305634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2207357829","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10718412,0.0014398126,0.83835214,0.00092296716,0.000399665,0.00022711162,0.00038643047,0.0052226307,0.045865014],"genre_scores_gemma":[0.93549156,0.0005804135,0.043565422,0.00022856316,0.0001773501,0.00005609831,0.00028288027,0.0001092716,0.019508485],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986863,0.00001972274,0.000007946139,0.000026292211,0.000058401456,0.000018899033],"domain_scores_gemma":[0.9998354,0.0000190562,0.0000195623,0.000035360477,0.00007918834,0.000011435776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019963869,0.00026996108,0.0002493792,0.00032440183,0.00030770228,0.0007872217,0.0005391242,0.00038341712,0.011809035],"category_scores_gemma":[0.0002874731,0.00008591713,0.00021495148,0.0003480728,0.00013997602,0.00069842406,0.00031895112,0.00038796954,0.0020207758],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045048128,0.00017217464,0.0029009338,0.00059988204,0.00005832043,0.0005410237,0.00025724943,0.0129031455,0.22420585,0.033892848,0.015271837,0.7087462],"study_design_scores_gemma":[0.00032603613,0.002970191,0.011055881,0.00029161986,0.00025390481,0.0035189493,0.0005602564,0.21774153,0.24196926,0.02484348,0.49638894,0.00007997405],"about_ca_topic_score_codex":0.00045023146,"about_ca_topic_score_gemma":0.00072205806,"teacher_disagreement_score":0.011809035,"about_ca_system_score_codex":0.00033592194,"about_ca_system_score_gemma":0.00018399463,"threshold_uncertainty_score":0.039505124},"labels":[],"label_agreement":null},{"id":"W2207920490","doi":"10.1115/es2015-49445","title":"Emergency Energy Management Model for Durham Region","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Electricity; Natural gas; Population; Mains electricity; Energy supply; Energy consumption; Business; Environmental science; Operations management; Waste management; Power (physics); Engineering; Energy (signal processing); Environmental health","score_opus":0.06367352403933671,"score_gpt":0.2912074942534449,"score_spread":0.22753397021410818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2207920490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5161386,0.0006573828,0.16617815,0.0020602436,0.00030200975,0.0010213468,0.03668049,0.0029767621,0.27398503],"genre_scores_gemma":[0.92932045,0.000292402,0.019428004,0.00012239136,0.00002222881,0.00048320953,0.0059427847,0.00012485469,0.04426357],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998386,0.00003017991,0.0000074762092,0.000039927585,0.000036219,0.000047556612],"domain_scores_gemma":[0.9996866,0.000089754314,0.000027929014,0.000013536873,0.00015499032,0.000027154123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021694001,0.0006137939,0.00044871532,0.0004609217,0.00086823246,0.0010694987,0.0015936489,0.0008779546,0.01344605],"category_scores_gemma":[0.0006071467,0.0003392958,0.0007055303,0.00048482782,0.00034482311,0.0005144319,0.0005727993,0.00047760594,0.0008724466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061404295,0.000023153689,0.0019193856,0.00005203448,0.0000124362905,0.00014092318,0.00007773215,0.9862948,0.00040618205,0.004400535,0.0031180847,0.0034933717],"study_design_scores_gemma":[0.00003270457,0.000026346568,0.0012614907,0.000014066182,0.000012800434,0.000030439334,0.00015959813,0.98607486,0.00020217644,0.0013584231,0.010812069,0.000015112487],"about_ca_topic_score_codex":0.5365068,"about_ca_topic_score_gemma":0.49865642,"teacher_disagreement_score":0.46349323,"about_ca_system_score_codex":0.005552307,"about_ca_system_score_gemma":0.004004226,"threshold_uncertainty_score":0.93244565},"labels":[],"label_agreement":null},{"id":"W2214054992","doi":"10.1109/vppc.2015.7352934","title":"Economy-Focused PHEV Battery Lifetime Management through Optimal Fuel Cell Load Sharing","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Centers for Disease Control and Prevention; Hydro-Québec; U.S. Department of Defense","keywords":"Battery (electricity); Automotive engineering; Energy management; Computer science; Driving cycle; State of charge; Proton exchange membrane fuel cell; Process (computing); Electric vehicle; Fuel cells; Energy (signal processing); Power (physics); Engineering","score_opus":0.030184157174360574,"score_gpt":0.2566489160588118,"score_spread":0.22646475888445122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2214054992","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4339014,0.00037485576,0.5456407,0.000358861,0.00004233306,0.000085555104,0.00010600189,0.0003154923,0.019174792],"genre_scores_gemma":[0.9969975,0.000025105333,0.0023855674,0.000009881688,0.000003289126,0.000007280333,0.000007692271,0.0000060718935,0.0005575253],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984396,0.000027717091,0.0000060220937,0.000034184803,0.00004259337,0.000045547866],"domain_scores_gemma":[0.99986374,0.00003787526,0.00003007109,0.000017842462,0.00003675543,0.000013799425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025857848,0.0004703256,0.00039813507,0.00022178741,0.000295875,0.0007358204,0.0007905222,0.0003692121,0.0009552858],"category_scores_gemma":[0.0005124132,0.00012298579,0.00017955297,0.00019306714,0.00027246593,0.0008414905,0.00059781154,0.00027611895,0.00013287559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015880591,0.00010056364,0.0011267288,0.000050006063,0.000032039945,0.000116524665,0.0000690976,0.9314403,0.015310927,0.007133601,0.0006091869,0.043852195],"study_design_scores_gemma":[0.000010652122,0.00006759782,0.00045523758,0.0000035712346,0.000012616265,0.00004524884,0.000059686503,0.9869647,0.0060682776,0.0055056624,0.00079939666,0.0000073362567],"about_ca_topic_score_codex":0.0015990668,"about_ca_topic_score_gemma":0.001987289,"teacher_disagreement_score":0.0015990668,"about_ca_system_score_codex":0.0004700298,"about_ca_system_score_gemma":0.000483398,"threshold_uncertainty_score":0.0034102798},"labels":[],"label_agreement":null},{"id":"W2217374820","doi":"10.1109/vppc.2015.7352939","title":"Efficient Internal Resistance and Specific Heat Identification of Li-Ion Battery at Low Temperature Conditions","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Internal resistance; Battery (electricity); Automotive engineering; Voltage; Electric vehicle; Energy (signal processing); Materials science; Electrical engineering; Automotive battery; Internal heating; Computer science; Nuclear engineering; Mechanical engineering; Engineering; Thermodynamics; Physics; Power (physics)","score_opus":0.014931628562889139,"score_gpt":0.25845511276978317,"score_spread":0.24352348420689404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2217374820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67888796,0.002371525,0.3028427,0.0002939778,0.00012983092,0.00012985531,0.0008890412,0.0027177979,0.011737247],"genre_scores_gemma":[0.9827755,0.00067715754,0.012912401,0.000026762069,0.000013653823,0.000056619865,0.0002571616,0.00006354964,0.0032171286],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99974483,0.000029442768,0.000013351569,0.000058148984,0.00013163344,0.000022518581],"domain_scores_gemma":[0.99979347,0.000046436784,0.000022514954,0.000050388586,0.00008083441,0.0000063835696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021335941,0.00037426953,0.0006864462,0.0005214012,0.00022961856,0.00063424604,0.00084774266,0.00043996077,0.0012597555],"category_scores_gemma":[0.0006300972,0.00020026155,0.0003278861,0.00040017156,0.00019009423,0.00097442063,0.0002690771,0.00030943946,0.00093140296],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037742997,0.00012727376,0.0065738196,0.0005868017,0.0000376969,0.0003923079,0.0005466065,0.055612355,0.81110424,0.0029943015,0.0019902664,0.119656906],"study_design_scores_gemma":[0.000015705162,0.0003440973,0.007546671,0.000049012935,0.00003807744,0.0006450179,0.0002852279,0.49166128,0.49081212,0.002289805,0.006229909,0.000083117],"about_ca_topic_score_codex":0.00079076854,"about_ca_topic_score_gemma":0.0011704046,"teacher_disagreement_score":0.0012597555,"about_ca_system_score_codex":0.00032880393,"about_ca_system_score_gemma":0.00021879065,"threshold_uncertainty_score":0.004214287},"labels":[],"label_agreement":null},{"id":"W2217882269","doi":"10.1149/ma2014-04/4/620","title":"Towards Safer Li-Ion Battery Cathodes and Electrolytes","year":2014,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Overcharge; Battery (electricity); Software portability; Battery pack; Energy storage; Nanotechnology; Lithium (medication); Materials science; Computer science; Physics","score_opus":0.012743289078960007,"score_gpt":0.24883443438075417,"score_spread":0.23609114530179418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2217882269","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.071770824,0.45202842,0.3007352,0.0405484,0.009890958,0.00067277264,0.0010133146,0.003003088,0.12033707],"genre_scores_gemma":[0.35041776,0.2680115,0.25723648,0.021015441,0.0039214115,0.0008176512,0.0027900992,0.0013028745,0.094486825],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979144,0.00016527555,0.00010089842,0.00025606775,0.0014378607,0.00012554305],"domain_scores_gemma":[0.99861777,0.00016876255,0.00019548253,0.00010189693,0.0007825445,0.00013348804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026079079,0.001293124,0.0011437339,0.0009477405,0.0007434754,0.0033403467,0.0037181035,0.0051381118,0.012698257],"category_scores_gemma":[0.0029141505,0.0006873823,0.0005095787,0.0005633246,0.0012008831,0.00914214,0.0027624457,0.004405997,0.008197725],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055406353,0.00064777915,0.0016534609,0.0085033765,0.00011727349,0.0012324634,0.0006233586,0.0075114323,0.3631831,0.22910132,0.054797232,0.3320751],"study_design_scores_gemma":[0.000118649,0.000849175,0.00052523793,0.0010941372,0.00006792444,0.001982062,0.00028202726,0.0102429865,0.22854082,0.054781076,0.70141923,0.000096608805],"about_ca_topic_score_codex":0.0005586926,"about_ca_topic_score_gemma":0.000683289,"teacher_disagreement_score":0.012698257,"about_ca_system_score_codex":0.001710011,"about_ca_system_score_gemma":0.0011434817,"threshold_uncertainty_score":0.042479932},"labels":[],"label_agreement":null},{"id":"W2219501311","doi":"10.1016/j.apenergy.2015.11.034","title":"A comprehensive review of lithium-ion batteries used in hybrid and electric vehicles at cold temperatures","year":2015,"lang":"en","type":"review","venue":"Applied Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1139,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Battery (electricity); Automotive engineering; Electric vehicle; Lithium (medication); Fade; Ion; Lithium-ion battery; Electrical engineering; Engineering; Nuclear engineering; Engineering physics; Power (physics); Computer science; Chemistry; Thermodynamics; Physics","score_opus":0.02863037991786272,"score_gpt":0.2847850292309181,"score_spread":0.25615464931305537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2219501311","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004578918,0.99718493,0.00027236892,0.0001216514,0.00016592987,0.000011389212,0.00008421517,0.0000107357955,0.0016908505],"genre_scores_gemma":[0.001469548,0.99662834,0.00037699347,0.00012656546,0.000097816,0.000009906812,0.00009903626,0.0000021491433,0.0011897521],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997813,0.000023577886,0.000055063923,0.00003603883,0.00008714908,0.000016919901],"domain_scores_gemma":[0.9997596,0.00009033202,0.000046925397,0.000007237289,0.000082813036,0.000013019842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004603465,0.0009887193,0.0013219909,0.0033497359,0.00031874652,0.001045123,0.0010226946,0.00077174173,0.004327831],"category_scores_gemma":[0.00065745314,0.00032651264,0.0007106646,0.0038616904,0.00024525815,0.001720597,0.00064464303,0.0007718476,0.0016272631],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100732286,0.000103010214,0.00036498805,0.06676974,0.00017027202,0.00026097734,0.00008715059,0.000524141,0.0058831926,0.0032078896,0.024337761,0.8981902],"study_design_scores_gemma":[0.00001612808,0.00014008397,0.0008849414,0.0046009654,0.0002996223,0.00094014395,0.00009561647,0.00014589354,0.002356904,0.0011364601,0.98934525,0.000038034406],"about_ca_topic_score_codex":0.0010636126,"about_ca_topic_score_gemma":0.002709366,"teacher_disagreement_score":0.004327831,"about_ca_system_score_codex":0.00038840345,"about_ca_system_score_gemma":0.0012188514,"threshold_uncertainty_score":0.014478028},"labels":[],"label_agreement":null},{"id":"W2221089868","doi":"10.1109/vppc.2015.7353033","title":"Three Phase High Power Integrated Battery Charger for Plugin Electric Vehicles","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automotive engineering; Traction motor; Battery (electricity); Electrical engineering; Electromagnetic coil; Electric vehicle; Rotor (electric); Battery charger; Three-phase; Torque; Automotive battery; Computer science; Engineering; Power (physics); Voltage; Physics","score_opus":0.034380772158686394,"score_gpt":0.29272351294457427,"score_spread":0.25834274078588787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2221089868","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23389918,0.001462759,0.72437286,0.00032066397,0.00025786724,0.00031696924,0.0005227883,0.0069772117,0.03186969],"genre_scores_gemma":[0.9322192,0.000405644,0.04589692,0.00005714235,0.000021798527,0.000080338854,0.00035880605,0.00018969664,0.020770479],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998553,0.000018648629,0.000005370518,0.000012480435,0.00009787523,0.000010348578],"domain_scores_gemma":[0.9997726,0.000040183862,0.000023898781,0.000040490806,0.00011341197,0.00000929598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020463605,0.0002683357,0.00027398954,0.00027467194,0.00019995263,0.0005239155,0.0004691301,0.0003405621,0.005367645],"category_scores_gemma":[0.00036508276,0.00014984241,0.0002346476,0.00028920305,0.00012919916,0.0004298968,0.00020207047,0.00043093303,0.0018905884],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038047953,0.00021115529,0.0021289026,0.0006361793,0.0000595534,0.00033263722,0.00020168381,0.017423075,0.5801137,0.005340525,0.010670535,0.38250154],"study_design_scores_gemma":[0.00012998038,0.0030238687,0.014649749,0.00010063118,0.0001233973,0.0020520824,0.00019281435,0.21570049,0.600587,0.003400419,0.15995906,0.00008049558],"about_ca_topic_score_codex":0.0006541172,"about_ca_topic_score_gemma":0.0012813581,"teacher_disagreement_score":0.005367645,"about_ca_system_score_codex":0.00022896509,"about_ca_system_score_gemma":0.00026286964,"threshold_uncertainty_score":0.017956555},"labels":[],"label_agreement":null},{"id":"W2237869509","doi":"10.1007/978-3-319-15898-3_11","title":"Integrated Battery Management System","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Electrification; Battery (electricity); Electric vehicle; Engineering; Management system; Energy management; Plug-in; Transport engineering; Automotive engineering; Environmental economics; Systems engineering; Computer science; Electricity; Energy (signal processing); Electrical engineering; Operations management; Economics","score_opus":0.036088603303395986,"score_gpt":0.24843708640033385,"score_spread":0.21234848309693788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2237869509","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019469664,0.01025735,0.35592917,0.0009205821,0.0023274594,0.00039598614,0.0020153206,0.019695865,0.5889886],"genre_scores_gemma":[0.21151565,0.0052629556,0.04586023,0.0011827988,0.0005872239,0.00028838616,0.0036335923,0.00071797596,0.7309512],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998429,0.0000066353673,0.0000071076665,0.00003644128,0.00009013516,0.000016726968],"domain_scores_gemma":[0.99994004,0.0000042253128,0.0000031152501,0.0000102428885,0.000037877355,0.000004516408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008771051,0.00049612223,0.0004176696,0.0005667231,0.000453627,0.0009778921,0.001054598,0.00049372617,0.038182188],"category_scores_gemma":[0.00014299975,0.00021638698,0.00024528365,0.00066262984,0.000120408964,0.0012234994,0.0007634418,0.000569953,0.014533127],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001740987,0.000106553474,0.00041947604,0.00042527457,0.000043914766,0.00017833717,0.00013083062,0.0043024737,0.050516497,0.016320655,0.13437894,0.79300296],"study_design_scores_gemma":[0.000035224977,0.00022758915,0.0016838987,0.00013192654,0.000101611135,0.0007796311,0.000069888745,0.03455637,0.046522766,0.0079273665,0.90790695,0.0000568108],"about_ca_topic_score_codex":0.0012861431,"about_ca_topic_score_gemma":0.0021155656,"teacher_disagreement_score":0.038182188,"about_ca_system_score_codex":0.00045504625,"about_ca_system_score_gemma":0.00040327158,"threshold_uncertainty_score":0.12773216},"labels":[],"label_agreement":null},{"id":"W2238912187","doi":"10.4271/2010-01-1766","title":"Fault Mitigation and Cell Balancing of High Power Lithium Ion Battery Packs","year":2010,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Lithium (medication); Battery (electricity); Lithium-ion battery; Reliability engineering; Power (physics); Computer science; Fault (geology); Automotive engineering; Electrical engineering; Environmental science; Engineering; Physics; Psychology; Geology","score_opus":0.005708123572086489,"score_gpt":0.2304198148998315,"score_spread":0.224711691327745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2238912187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7619381,0.0012225003,0.22151329,0.00032610563,0.0002187533,0.000066710076,0.00021785828,0.0017811303,0.012715562],"genre_scores_gemma":[0.9933971,0.000053787327,0.0038170677,0.000029829633,0.000020052848,0.000007685192,0.00006968203,0.000026640882,0.0025782092],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988794,0.000016405898,0.000009069431,0.000016080987,0.00004488463,0.000025590838],"domain_scores_gemma":[0.9997968,0.000035800727,0.000030775835,0.000030470303,0.000092470655,0.000013669502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013494374,0.00026953363,0.0003662561,0.00044997016,0.00037215327,0.000610391,0.00078239467,0.00038510218,0.0041452595],"category_scores_gemma":[0.00035055788,0.00014234197,0.00015029887,0.0003701383,0.00014618212,0.000831167,0.00033463954,0.00019612933,0.0008640342],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021935126,0.00030475622,0.006218975,0.00034758248,0.000116223644,0.00034507102,0.00034939044,0.11546583,0.45996228,0.004600548,0.004839379,0.40525645],"study_design_scores_gemma":[0.000121414305,0.001093177,0.009672786,0.00004561842,0.00013164361,0.00053225085,0.00027495506,0.6078697,0.36272416,0.0074804435,0.010017575,0.000036244695],"about_ca_topic_score_codex":0.00075431436,"about_ca_topic_score_gemma":0.0019009173,"teacher_disagreement_score":0.0041452595,"about_ca_system_score_codex":0.00028746243,"about_ca_system_score_gemma":0.00017658983,"threshold_uncertainty_score":0.013867319},"labels":[],"label_agreement":null},{"id":"W2243643170","doi":"","title":"Thermal modeling of NiMH battery powering electric vehicles","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Battery (electricity); Laminar flow; Battery pack; Thermal; Turbulence; Convection; Battery electric vehicle; Computational fluid dynamics; Automotive engineering; Mechanics; Environmental science; Engineering; Meteorology; Physics; Thermodynamics; Power (physics)","score_opus":0.011837437840593053,"score_gpt":0.2320924342035011,"score_spread":0.22025499636290805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2243643170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83879644,0.0006268042,0.1281931,0.00018001383,0.000059346068,0.00007533226,0.00030725345,0.00038480136,0.031376928],"genre_scores_gemma":[0.9914049,0.00011162332,0.0016368907,0.000007778995,0.000005435722,0.000025261887,0.00005074791,0.000013894893,0.0067433617],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993825,0.000014346794,0.0000019865724,0.000009475131,0.000025213672,0.0000105891395],"domain_scores_gemma":[0.9999577,0.000014301255,0.0000059190484,0.000004393653,0.000014799731,0.0000029217952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008956166,0.00028921518,0.00027195358,0.00020085377,0.0002914184,0.0003580328,0.00036300754,0.00030453433,0.0017693909],"category_scores_gemma":[0.00019675495,0.00012801735,0.00021138856,0.00015249515,0.0003201221,0.0003981406,0.00021832739,0.00014422368,0.0003017411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039735,0.000021756878,0.0015086338,0.00003320104,0.000008699311,0.00013525363,0.000053277392,0.98014015,0.008658763,0.0018597163,0.00026346406,0.007277391],"study_design_scores_gemma":[0.0000041226745,0.000026149157,0.0006109376,0.0000035112196,0.0000029541332,0.00002815991,0.00002292664,0.99468637,0.0029272027,0.0006508258,0.0010331422,0.000003576885],"about_ca_topic_score_codex":0.00530014,"about_ca_topic_score_gemma":0.0037057633,"teacher_disagreement_score":0.00530014,"about_ca_system_score_codex":0.00057158637,"about_ca_system_score_gemma":0.00040667466,"threshold_uncertainty_score":0.010538578},"labels":[],"label_agreement":null},{"id":"W2247875709","doi":"10.1149/ma2014-04/4/741","title":"Evaluation of Litdi Vs. LiPF<sub>6</sub> As Electrolytes in Contact with Several Cathodes and Anodes Materials","year":2014,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Electrolyte; Electrochemistry; Lithium (medication); Materials science; Battery (electricity); Cathode; Anode; Passivation; Thermal stability; Chemical engineering; Inorganic chemistry; Chemistry; Organic chemistry; Nanotechnology; Electrode; Layer (electronics)","score_opus":0.01380767340593037,"score_gpt":0.2595286868487152,"score_spread":0.24572101344278485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2247875709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99222434,0.003391184,0.001594946,0.00012973616,0.00009558484,0.000030220723,0.0005234541,0.00012367922,0.0018868329],"genre_scores_gemma":[0.9936054,0.0019355081,0.0021268094,0.00004273422,0.000016792177,0.000038112525,0.0002925709,0.000019228328,0.0019228035],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99968266,0.00003262114,0.000030437459,0.000070926915,0.0001377436,0.00004562198],"domain_scores_gemma":[0.99972004,0.000074709074,0.00004658867,0.000017099568,0.00011367215,0.00002784235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002644629,0.00037067448,0.00036838994,0.00033933367,0.00022908323,0.00059241743,0.0006367414,0.0007205238,0.0023371375],"category_scores_gemma":[0.00045607652,0.00013904853,0.0002433196,0.00041152217,0.00018449407,0.000523152,0.00021601985,0.0003261415,0.00042096188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004191427,0.000041589163,0.00067665917,0.00021881897,0.000015308977,0.00014551193,0.00007258696,0.00015436033,0.9917368,0.000098000586,0.00016583805,0.0062554553],"study_design_scores_gemma":[0.000008647988,0.00041082618,0.0015277399,0.0000102554295,0.000019975294,0.00009928616,0.00010172115,0.0009889893,0.9957558,0.000020379337,0.0010500759,0.00000638883],"about_ca_topic_score_codex":0.0005436129,"about_ca_topic_score_gemma":0.00078535976,"teacher_disagreement_score":0.0023371375,"about_ca_system_score_codex":0.00031031301,"about_ca_system_score_gemma":0.00013630147,"threshold_uncertainty_score":0.00781846},"labels":[],"label_agreement":null},{"id":"W2259304822","doi":"10.1149/ma2015-02/8/539","title":"FlexibleâStretchable Micro Lithium Ion Batteries for Implantable, Wearable and Embedded Electronics","year":2015,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Materials science; Battery (electricity); Energy storage; Electronics; Nanotechnology; Electrical engineering; Power (physics); Engineering","score_opus":0.022879435232177423,"score_gpt":0.27086795962171406,"score_spread":0.24798852438953664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2259304822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86586374,0.013429123,0.082279615,0.001137049,0.0005938172,0.00022076763,0.0015415673,0.0023607505,0.032573678],"genre_scores_gemma":[0.9314887,0.0031229863,0.041618746,0.00025753706,0.000052642954,0.00015768934,0.00054119865,0.00011595305,0.02264463],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999242,0.000003103171,0.000005594526,0.000018632598,0.00003426089,0.000014217716],"domain_scores_gemma":[0.9999505,0.000004617021,0.000016076336,0.000010602486,0.000010455566,0.0000076245606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056730565,0.00026751394,0.00014653115,0.0001942387,0.00017560352,0.00037053248,0.0003804519,0.00036095342,0.0034360182],"category_scores_gemma":[0.00008299514,0.00015163157,0.00017960109,0.00018416083,0.00014930315,0.000616864,0.0003084151,0.00042435416,0.0016380287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020868443,0.00002182192,0.0001371978,0.00012425405,0.000003639832,0.00010187102,0.000041582556,0.00024739304,0.9879255,0.00049908087,0.00048037403,0.010396349],"study_design_scores_gemma":[0.00000907527,0.00020957676,0.0008610406,0.000014627153,0.0000067529018,0.00023766917,0.000043012755,0.0018578268,0.9797276,0.00019541242,0.016818156,0.000019125479],"about_ca_topic_score_codex":0.00019802139,"about_ca_topic_score_gemma":0.0009872458,"teacher_disagreement_score":0.0034360182,"about_ca_system_score_codex":0.00016664341,"about_ca_system_score_gemma":0.00010805656,"threshold_uncertainty_score":0.011494637},"labels":[],"label_agreement":null},{"id":"W2259663121","doi":"10.1149/ma2005-02/23/847","title":"In Situ Sem Analysis of Lithium Metal Polymer Battery","year":2006,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"In situ; Battery (electricity); Lithium (medication); Materials science; Lithium metal; Lithium battery; Polymer; Chemical engineering; Composite material; Chemistry; Engineering; Internal medicine; Medicine; Physics; Organic chemistry; Ion","score_opus":0.01150951993184229,"score_gpt":0.2521552259776688,"score_spread":0.24064570604582652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2259663121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9755504,0.000890884,0.009944061,0.00017107696,0.00008322675,0.000029323191,0.0013731425,0.00037334196,0.011584516],"genre_scores_gemma":[0.9795307,0.00068716303,0.004624147,0.00006541366,0.000019997966,0.000028352832,0.0006942971,0.00006509901,0.01428479],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999579,0.0000024935616,0.0000027276267,0.000010246237,0.000019109659,0.0000074814097],"domain_scores_gemma":[0.9999467,0.000013173156,0.0000067102796,0.000006286284,0.000022826864,0.0000043414116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000062688436,0.00018408922,0.00014801718,0.00027120762,0.00018542861,0.00017891057,0.00018748343,0.00027603708,0.0058523905],"category_scores_gemma":[0.000085157,0.0001120381,0.00011413109,0.00020688809,0.0000938119,0.00025228364,0.00010286045,0.0002159031,0.000733605],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004930919,0.000015840598,0.00023183876,0.000047883437,0.000003958692,0.00006823279,0.000023643513,0.000112574984,0.9957598,0.000065174594,0.00023586414,0.0033860637],"study_design_scores_gemma":[0.000005193962,0.00007631845,0.004336532,0.0000055076403,0.000009789987,0.00021028356,0.000061848135,0.0009577578,0.9915632,0.00006106291,0.0027093454,0.000003123308],"about_ca_topic_score_codex":0.0004057308,"about_ca_topic_score_gemma":0.0008720987,"teacher_disagreement_score":0.0058523905,"about_ca_system_score_codex":0.00011130325,"about_ca_system_score_gemma":0.00007711963,"threshold_uncertainty_score":0.019578218},"labels":[],"label_agreement":null},{"id":"W2261779093","doi":"10.14447/jnmes.v16i2.13","title":"Facile Synthesis of Donut-like TiO&lt;sub&gt;2&lt;/sub&gt;-SnO&lt;sub&gt;2&lt;/sub&gt; Nanocomposite Microspheres by a Two-step Hydrothermal Reaction and Subsequent Spray Drying Process and Its Electrochemical Lithium Storage Properties","year":2013,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nanocomposite; Calcination; Anatase; Materials science; Hydrothermal circulation; Tetragonal crystal system; Chemical engineering; Spray drying; Rutile; Electrochemistry; Lithium (medication); Hydrothermal synthesis; Nanotechnology; Phase (matter); Catalysis; Chemistry; Electrode; Organic chemistry; Photocatalysis; Physical chemistry","score_opus":0.009250371694600516,"score_gpt":0.22444348468534792,"score_spread":0.2151931129907474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2261779093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9791581,0.0010143084,0.017594313,0.000044778397,0.000023098863,0.000036722762,0.0001943963,0.00018138606,0.001752814],"genre_scores_gemma":[0.9822603,0.00038716543,0.014244692,0.000022853079,0.0000057734037,0.000025779847,0.00023191908,0.000030728548,0.0027907938],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999541,0.0000027786828,0.000003563778,0.000016079275,0.00001497139,0.000008476108],"domain_scores_gemma":[0.9999651,0.0000033235506,0.000010096831,0.0000029530038,0.0000093363415,0.000009188623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000070597176,0.00030156996,0.00017736167,0.00013234855,0.00009231544,0.00016399709,0.00014393684,0.00019402233,0.0004642927],"category_scores_gemma":[0.00006371512,0.00014832335,0.00016833753,0.000109536784,0.00012797768,0.00021615665,0.00014962182,0.00018411572,0.00013489202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018100023,0.0000040892223,0.000040569877,0.000018133196,0.000001878064,0.000015793205,0.000005341878,0.000049579474,0.99891376,0.00004827948,0.000011462188,0.00087292836],"study_design_scores_gemma":[0.000007767657,0.00006591957,0.0006303685,8.406063e-7,0.000007994419,0.000064674845,0.00000708767,0.0007983963,0.99739516,0.000015749596,0.0010021814,0.0000038902317],"about_ca_topic_score_codex":0.0008226658,"about_ca_topic_score_gemma":0.0030265527,"teacher_disagreement_score":0.0008226658,"about_ca_system_score_codex":0.00023371296,"about_ca_system_score_gemma":0.00021314244,"threshold_uncertainty_score":0.0016956925},"labels":[],"label_agreement":null},{"id":"W2262150156","doi":"10.1149/ma2014-02/5/296","title":"Combinations of Ethylene Sulfite (ES) and Vinylene Carbonate (VC) As Electrolyte Additives in Li(Ni<sub>1/3</sub>Mn<sub>1/3</sub>Co<sub>1/3</sub>)O<sub>2</sub>/Graphite Pouch Cells","year":2014,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Electrolyte; Ethylene carbonate; Graphite; Sulfite; Faraday efficiency; Anode; Materials science; Intercalation (chemistry); Inorganic chemistry; Chemical engineering; Chemistry; Electrode; Metallurgy","score_opus":0.007076987289142778,"score_gpt":0.22558756745250846,"score_spread":0.2185105801633657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2262150156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931097,0.0034551818,0.001822977,0.00005200602,0.000059750655,0.000049061036,0.00021990482,0.00012803494,0.0011034204],"genre_scores_gemma":[0.99325645,0.0014625103,0.0036359031,0.000019490673,0.00001314157,0.000026250338,0.00011882212,0.000015308533,0.0014521271],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998266,0.00002677577,0.000023647073,0.000037038517,0.000060679733,0.000025351248],"domain_scores_gemma":[0.9999064,0.000022131006,0.00002243553,0.000009262673,0.000023181576,0.000016660559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000215836,0.000349087,0.0004245781,0.00033784768,0.00018797281,0.0005146757,0.00054949906,0.0004135496,0.00088370277],"category_scores_gemma":[0.00021258187,0.00017094726,0.0002347456,0.00044729435,0.00017938731,0.0004951615,0.00024818277,0.00027508364,0.00018374812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006074995,0.00013265785,0.000741373,0.00024964576,0.00002035676,0.000118767966,0.000029691904,0.0009876722,0.9844259,0.00010170608,0.000109869856,0.012474821],"study_design_scores_gemma":[0.00001630542,0.0006258723,0.0014044004,0.000005889987,0.000027070873,0.00005976357,0.000018550792,0.0013968309,0.9951923,0.000013128752,0.0012334062,0.000006586684],"about_ca_topic_score_codex":0.00054955645,"about_ca_topic_score_gemma":0.0013535479,"teacher_disagreement_score":0.00088370277,"about_ca_system_score_codex":0.00021543569,"about_ca_system_score_gemma":0.00017639663,"threshold_uncertainty_score":0.0029562712},"labels":[],"label_agreement":null},{"id":"W2265934442","doi":"10.1149/ma2014-04/1/145","title":"Invited Presentation: 4.7 V Li-ion cells: Nonsense or Possibility","year":2014,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Electrolyte; Faraday efficiency; Ion; Electrode; Battery (electricity); Materials science; Chemical engineering; Chemistry; Thermodynamics; Physics; Physical chemistry","score_opus":0.02454240421781743,"score_gpt":0.28223403524002333,"score_spread":0.2576916310222059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2265934442","genre_codex":"editorial","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006407028,0.05788708,0.0037894195,0.19113173,0.56153476,0.00038627753,0.00073029974,0.0006164209,0.17751694],"genre_scores_gemma":[0.026365034,0.02649452,0.0017773247,0.04874537,0.25429827,0.00029178962,0.00072910794,0.00031925825,0.64097935],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99950147,0.00005612884,0.000022770464,0.000120414865,0.000200975,0.00009817314],"domain_scores_gemma":[0.99942976,0.00010776585,0.000025170324,0.000014835005,0.00025330592,0.00016911994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011679628,0.00090431963,0.0004432085,0.0003410599,0.0008435312,0.0024042479,0.0010602267,0.0052418346,0.07708164],"category_scores_gemma":[0.0014497918,0.00017657905,0.00050657603,0.00021012177,0.00049968984,0.0017661512,0.0010779606,0.003326702,0.032317374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004185344,0.00006769106,0.00025445627,0.00040712205,0.000011332103,0.00038454062,0.000078577694,0.000096709,0.0028462876,0.0043093706,0.9304266,0.06069887],"study_design_scores_gemma":[0.000018425804,0.00008412204,0.0001729338,0.00008268669,0.0000052227106,0.0001512827,0.000061243234,0.00006789509,0.0005601839,0.0015013133,0.9972874,0.000007212979],"about_ca_topic_score_codex":0.0002225186,"about_ca_topic_score_gemma":0.0005721287,"teacher_disagreement_score":0.07708164,"about_ca_system_score_codex":0.00081153406,"about_ca_system_score_gemma":0.00066407537,"threshold_uncertainty_score":0.25786382},"labels":[],"label_agreement":null},{"id":"W2266509892","doi":"10.1149/ma2013-02/14/1167","title":"A Study of the Interactions Between Positive and Negative Electrodes: Charge and Discharge Slippage in LiNi<sub>0.5</sub>Mn<sub>1.5</sub>O<sub>4</sub>/Li<sub>4</sub>Ti<sub>5</sub>O<sub>12</sub> Li-Ion Full Cell","year":2013,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Slippage; Electrode; Ion; Materials science; Charge (physics); Chemistry; Composite material; Physics; Physical chemistry","score_opus":0.012612572723408657,"score_gpt":0.23986061728270722,"score_spread":0.22724804455929856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2266509892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99384695,0.0007706793,0.0019709342,0.00013551927,0.00003559535,0.000017721331,0.00011453636,0.000037438178,0.0030706187],"genre_scores_gemma":[0.9972011,0.00024651128,0.00033739183,0.000029459048,0.000008134504,0.00001172361,0.000087965745,0.000012059245,0.0020657065],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987304,0.000009373334,0.000004647923,0.000020077905,0.000064458145,0.000028410572],"domain_scores_gemma":[0.9996723,0.00016437414,0.000048208163,0.000023988607,0.00006517298,0.000025905236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017472118,0.00019107843,0.000377928,0.00023329261,0.00046314675,0.00041852848,0.000540559,0.00043669494,0.004555091],"category_scores_gemma":[0.00062602834,0.00015866934,0.00014946167,0.00024469383,0.00043657323,0.00048398765,0.00023317852,0.00040543114,0.00036350935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011421756,0.00023333414,0.0054725935,0.0005453468,0.0000805873,0.001836052,0.0006494634,0.016660342,0.93567574,0.003107608,0.0013849195,0.033211973],"study_design_scores_gemma":[0.00009109293,0.0011539483,0.0361707,0.000065267974,0.00008714983,0.0009129579,0.0014144673,0.14828765,0.80205536,0.0024000432,0.007309781,0.000051636383],"about_ca_topic_score_codex":0.0010695868,"about_ca_topic_score_gemma":0.0012698645,"teacher_disagreement_score":0.004555091,"about_ca_system_score_codex":0.00043825462,"about_ca_system_score_gemma":0.00023188908,"threshold_uncertainty_score":0.015238225},"labels":[],"label_agreement":null},{"id":"W2267781741","doi":"10.1149/ma2013-02/7/549","title":"Effects of Electrode Density On the Safety of NCA Positive Electrode for High Capacity Li-Ion Batteries","year":2013,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Electrode; Materials science; Ion; Optoelectronics; Chemical engineering; Chemistry; Engineering; Physical chemistry; Organic chemistry","score_opus":0.008086732291947854,"score_gpt":0.21797308209880253,"score_spread":0.20988634980685467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2267781741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899568,0.0025019892,0.0026742904,0.00027553318,0.00014616079,0.00005977218,0.0002529609,0.0000490468,0.0040832795],"genre_scores_gemma":[0.9970464,0.00070375676,0.0010057602,0.00005946105,0.000019828793,0.000027293207,0.00013576649,0.000013016111,0.0009888302],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99931455,0.0001670021,0.000067360954,0.00009451299,0.0002899236,0.00006670773],"domain_scores_gemma":[0.9967031,0.0018407415,0.00016598198,0.00019629847,0.0010068329,0.000087086984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089725433,0.0003044658,0.0002928737,0.00019976188,0.0003498831,0.00050850003,0.0006055425,0.00051864766,0.0025252672],"category_scores_gemma":[0.004344828,0.00029251512,0.0001843267,0.00016682273,0.0003965884,0.00063417776,0.00028142915,0.00036606187,0.0005503527],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001956345,0.00011745381,0.0015926191,0.00029300165,0.000024635721,0.00018623697,0.00014031972,0.00070224423,0.98167336,0.0002623448,0.0003709546,0.012680501],"study_design_scores_gemma":[0.000016782042,0.0005503347,0.0025911704,0.000019232397,0.000038992337,0.00010759201,0.000081936814,0.0012012554,0.9942384,0.000060056405,0.0010868004,0.0000073881383],"about_ca_topic_score_codex":0.0013653076,"about_ca_topic_score_gemma":0.002503219,"teacher_disagreement_score":0.0025252672,"about_ca_system_score_codex":0.0003837133,"about_ca_system_score_gemma":0.00026498942,"threshold_uncertainty_score":0.0084478855},"labels":[],"label_agreement":null},{"id":"W2269961111","doi":"10.1149/2.0901603jes","title":"Exploring Impedance Growth in High Voltage NMC/Graphite Li-Ion Cells Using a Transmission Line Model","year":2015,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Electrical impedance; Capacitance; Materials science; Electrolyte; Graphite; Electrode; Ion; Transmission line; Analytical Chemistry (journal); Voltage; Contact resistance; Chemistry; Electrical engineering; Composite material","score_opus":0.05068116233575392,"score_gpt":0.2649374351406358,"score_spread":0.21425627280488185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2269961111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6666438,0.00043038858,0.32215664,0.00022941954,0.000032373446,0.00012016064,0.0004253908,0.0008221794,0.0091397455],"genre_scores_gemma":[0.9749102,0.00019758004,0.022836473,0.000016929636,0.0000036495708,0.000056521425,0.000099711986,0.000026764526,0.0018523202],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998386,0.000026355285,0.000008560577,0.00003833604,0.000077696284,0.00001036926],"domain_scores_gemma":[0.9996685,0.0001767754,0.000040468713,0.000041289757,0.00006550965,0.0000074215213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025019128,0.00029503249,0.00022342127,0.00024063577,0.00013127629,0.0003417305,0.0007909235,0.0005201701,0.0010375511],"category_scores_gemma":[0.00091667695,0.00015411395,0.00024669484,0.00033755804,0.00021703145,0.0005064582,0.00011519769,0.0005232842,0.00034819075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031665858,0.00016356465,0.003142291,0.0004311432,0.000027284517,0.0005267589,0.00037865975,0.21350701,0.7438222,0.007735876,0.00046068255,0.029487869],"study_design_scores_gemma":[0.000013129064,0.00013325374,0.0010515209,0.000010339595,0.000010906624,0.00014113863,0.000027561002,0.8952397,0.101641685,0.00055950973,0.0011636378,0.000007543257],"about_ca_topic_score_codex":0.0018719728,"about_ca_topic_score_gemma":0.0016797923,"teacher_disagreement_score":0.0018719728,"about_ca_system_score_codex":0.00069402833,"about_ca_system_score_gemma":0.00020042753,"threshold_uncertainty_score":0.0050355196},"labels":[],"label_agreement":null},{"id":"W2271518265","doi":"10.1049/iet-est.2015.0030","title":"State‐of‐charge and state‐of‐health estimation with state constraints and current sensor bias correction for electrified powertrain vehicle batteries","year":2016,"lang":"en","type":"article","venue":"IET Electrical Systems in Transportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Fiat Chrysler Automobiles; Canada Excellence Research Chairs, Government of Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Kalman filter; State of charge; Electric vehicle; Battery (electricity); State (computer science); Powertrain; Control theory (sociology); Extended Kalman filter; Compensation (psychology); State of health; Current (fluid); Driving cycle; Current sensor; Voltage; Estimation; Engineering; Computer science; Algorithm; Electrical engineering; Power (physics); Torque; Physics; Artificial intelligence","score_opus":0.018876918164508896,"score_gpt":0.27196221749542926,"score_spread":0.2530852993309204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2271518265","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013458336,0.00035880666,0.98486036,0.00006585494,0.000025675301,0.000019476154,0.00003094139,0.00019167998,0.0009888115],"genre_scores_gemma":[0.90094906,0.00058864214,0.09457058,0.00005270104,0.000059597718,0.000119199234,0.0001851736,0.000047614056,0.0034273802],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997986,0.000049388083,0.000018970659,0.000047350703,0.00006754048,0.000018205494],"domain_scores_gemma":[0.99958724,0.00021356801,0.000057642606,0.000046413395,0.00008846152,0.0000066868724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004297081,0.0005402572,0.00051915116,0.00029469767,0.00023356437,0.00075607176,0.0005396676,0.00051026617,0.0011179763],"category_scores_gemma":[0.0018258266,0.00029742063,0.000321826,0.0003764742,0.0003278439,0.001140231,0.00059530174,0.0005422302,0.00022336184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013952202,0.00006177875,0.0012641486,0.0002663872,0.00008318442,0.0001282719,0.00021180815,0.66338253,0.017096039,0.013735219,0.0015427788,0.3020883],"study_design_scores_gemma":[0.000004011503,0.000027398593,0.000463024,0.0000087099,0.000009028404,0.0000236927,0.000010657496,0.9940567,0.0024554334,0.001996237,0.0009341655,0.000010971939],"about_ca_topic_score_codex":0.004623653,"about_ca_topic_score_gemma":0.00412464,"teacher_disagreement_score":0.004623653,"about_ca_system_score_codex":0.00034132172,"about_ca_system_score_gemma":0.0005153062,"threshold_uncertainty_score":0.00919348},"labels":[],"label_agreement":null},{"id":"W2272981915","doi":"","title":"Rate discharge characteristics of LiNixCo1-xO2/EC : DMC, 1M LiPF6/LiC6 lithium ion batteries","year":2003,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Battery (electricity); Lithium (medication); Materials science; Ion; Battery capacity; Lithium-ion battery; Nuclear engineering; Chemistry; Medicine; Thermodynamics; Engineering; Organic chemistry; Physics; Power (physics)","score_opus":0.015664875093051908,"score_gpt":0.26122874156921133,"score_spread":0.2455638664761594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2272981915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954129,0.0009759581,0.0011050879,0.000042590265,0.000013862882,0.00001720717,0.00040360377,0.00011556551,0.0019132795],"genre_scores_gemma":[0.9927335,0.0006123441,0.0006524417,0.0000311943,0.000007698037,0.000021012143,0.0006202942,0.0000473404,0.0052742474],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998011,0.00001397756,0.000023391362,0.0000302462,0.00008607093,0.000045230066],"domain_scores_gemma":[0.9997831,0.000054741802,0.000030937583,0.000016006643,0.00008911235,0.000026031594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039190482,0.0003170218,0.0003924035,0.0005093373,0.00014770475,0.000563258,0.00041066532,0.0004891271,0.0025602423],"category_scores_gemma":[0.00061473553,0.00013143825,0.00016103398,0.00044797256,0.00015599842,0.00053377706,0.0002096561,0.00024294706,0.0006704068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090412825,0.00005363911,0.0024774545,0.00017788625,0.000015233312,0.00026974903,0.0002177281,0.00089972257,0.98431706,0.00017206998,0.0003017852,0.010193511],"study_design_scores_gemma":[0.000042319498,0.00046364433,0.0054800347,0.000018118744,0.000019010004,0.0004335273,0.00007369967,0.003143176,0.98810685,0.000047865542,0.0021506336,0.00002120412],"about_ca_topic_score_codex":0.00081568037,"about_ca_topic_score_gemma":0.00072217506,"teacher_disagreement_score":0.0025602423,"about_ca_system_score_codex":0.00028173684,"about_ca_system_score_gemma":0.00011662938,"threshold_uncertainty_score":0.00856483},"labels":[],"label_agreement":null},{"id":"W2273601043","doi":"10.1149/ma2015-01/2/473","title":"Memory-Effect in Li-Ion Battery Electrodes Unraveled","year":2015,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electrode; Battery (electricity); Materials science; Mesoscopic physics; Ion; Phase (matter); Crystallite; Particle (ecology); Charge (physics); Chemistry; Physics; Condensed matter physics; Thermodynamics; Physical chemistry; Quantum mechanics","score_opus":0.019787391199110507,"score_gpt":0.26673237652262194,"score_spread":0.24694498532351145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2273601043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5369197,0.07674315,0.29665208,0.005144366,0.0020781192,0.00024277526,0.0017372903,0.0010430737,0.07943938],"genre_scores_gemma":[0.94865626,0.014351627,0.011817853,0.00027070614,0.00026739415,0.00019129527,0.00028273845,0.00005543767,0.024106642],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999347,0.00000823674,0.0000036010154,0.000022469781,0.000019225472,0.000011806013],"domain_scores_gemma":[0.9999399,0.00002503848,0.00001238886,0.000006634796,0.000010136055,0.0000059115646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012155812,0.00051284855,0.00064486946,0.00025967543,0.00037000544,0.00065964664,0.0013682344,0.0011377139,0.002061308],"category_scores_gemma":[0.00038173926,0.00022492449,0.00040733189,0.00031363918,0.0007592656,0.0014728653,0.0004473619,0.0007673081,0.00041041715],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039930336,0.00023684376,0.0010709662,0.0016216404,0.00007533065,0.0016655421,0.00044196236,0.26139212,0.14185499,0.5615965,0.006392166,0.023252659],"study_design_scores_gemma":[0.000038862265,0.0001870077,0.00048038838,0.0000697664,0.000029711919,0.00031339886,0.00004774113,0.90656745,0.012518959,0.07195366,0.007750972,0.00004206929],"about_ca_topic_score_codex":0.0011847059,"about_ca_topic_score_gemma":0.00063889177,"teacher_disagreement_score":0.002061308,"about_ca_system_score_codex":0.0006083109,"about_ca_system_score_gemma":0.0003325396,"threshold_uncertainty_score":0.0068957806},"labels":[],"label_agreement":null},{"id":"W2276427423","doi":"10.1149/ma2013-02/14/1211","title":"Predicting and Extending the Lifetime of Li-Ion Cells","year":2013,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"E-One Moli Energy (Canada); Dalhousie University","funders":"","keywords":"Ion; Materials science; Computer science; Chemistry","score_opus":0.010965284150040088,"score_gpt":0.2356535459894982,"score_spread":0.22468826183945811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2276427423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9501657,0.0019726867,0.041453082,0.00030817438,0.00010525883,0.000057578538,0.0017177543,0.0008959483,0.003323811],"genre_scores_gemma":[0.9930315,0.0003545109,0.004475866,0.000022136317,0.000015110103,0.000021776465,0.0007155095,0.000030713458,0.0013328313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994767,0.000005552279,0.0000030649849,0.000019516605,0.000013828856,0.000010335223],"domain_scores_gemma":[0.9996443,0.00017886305,0.000033952743,0.000031735235,0.00008903271,0.00002217377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027821684,0.000599904,0.0003745779,0.00028304802,0.00027394565,0.00060439826,0.00045640074,0.00091236597,0.0016126351],"category_scores_gemma":[0.0012729125,0.00019913053,0.00033539408,0.00022661689,0.0001456998,0.0008082488,0.00019519894,0.00038013252,0.00056043215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003676108,0.00009893314,0.017686103,0.00013607446,0.000052291296,0.00010983344,0.000034502733,0.9047208,0.03385445,0.00048036542,0.0015039335,0.040955078],"study_design_scores_gemma":[0.0000111064965,0.00016418524,0.0028031052,0.000011684641,0.000042590782,0.000031683187,0.00002293568,0.9740607,0.021158207,0.00086559047,0.0008151055,0.000013138723],"about_ca_topic_score_codex":0.0065768426,"about_ca_topic_score_gemma":0.0077282363,"teacher_disagreement_score":0.0065768426,"about_ca_system_score_codex":0.0005022907,"about_ca_system_score_gemma":0.00038402074,"threshold_uncertainty_score":0.01307708},"labels":[],"label_agreement":null},{"id":"W2277864197","doi":"10.1109/iecon.2015.7392744","title":"Maximum power point tracking for thermoelectric generators with high frequency injection","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canada Research Chairs","keywords":"Duty cycle; Setpoint; Maximum power point tracking; Control theory (sociology); Power (physics); Thermoelectric generator; Operating point; Noise (video); Voltage; Maximum power principle; Controller (irrigation); SIGNAL (programming language); Computer science; Engineering; Physics; Electrical engineering; Thermoelectric effect","score_opus":0.020753724261181435,"score_gpt":0.24657628456114303,"score_spread":0.2258225602999616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2277864197","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06592877,0.0006457054,0.92827207,0.0000939343,0.000045565626,0.000060678623,0.000018872966,0.0005407417,0.0043936325],"genre_scores_gemma":[0.9001235,0.00022030331,0.09769149,0.00003632217,0.00001934212,0.00003672643,0.00001786874,0.000033600463,0.0018209419],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982136,0.000031271717,0.0000071270615,0.000032978525,0.00009650894,0.00001076071],"domain_scores_gemma":[0.9998217,0.00007656414,0.00004238593,0.000022159502,0.000031113887,0.000006013369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023763189,0.0002168271,0.00030654075,0.00021718237,0.00016812466,0.0003182434,0.00043427807,0.00030464728,0.0010822915],"category_scores_gemma":[0.00047451246,0.00016901207,0.00013761736,0.00022754658,0.00022741036,0.00035234605,0.00019514648,0.00038635262,0.00027313927],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043177756,0.00012072872,0.0014855744,0.00028703522,0.000029524823,0.00014947998,0.00018163671,0.03422646,0.46968332,0.0052797436,0.00075499795,0.48736975],"study_design_scores_gemma":[0.00006674481,0.0005936398,0.0022755736,0.0000402214,0.000028170605,0.00046227727,0.00002769712,0.67646325,0.30892122,0.002941879,0.008145642,0.00003377408],"about_ca_topic_score_codex":0.00020703391,"about_ca_topic_score_gemma":0.00033863756,"teacher_disagreement_score":0.0010822915,"about_ca_system_score_codex":0.00024732365,"about_ca_system_score_gemma":0.00012533441,"threshold_uncertainty_score":0.0036206841},"labels":[],"label_agreement":null},{"id":"W2278283560","doi":"10.1149/ma2014-02/5/287","title":"Reversible Nature of Impedance on LiCoO<sub>2</sub>/Graphite and Li[Ni<sub>0.42</sub>Mn<sub>0.42</sub>Co<sub>0.16</sub>]O<sub>2</sub>/Graphite Pouch Cells Cycled to High Voltages","year":2014,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Electrolyte; Graphite; Ethylene carbonate; Materials science; Analytical Chemistry (journal); Ion; Propylene carbonate; Current density; Chemistry; Electrode; Metallurgy; Physical chemistry; Chromatography; Organic chemistry","score_opus":0.006068810110288807,"score_gpt":0.22505091603456562,"score_spread":0.2189821059242768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2278283560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99725646,0.0003697177,0.0007094103,0.00004260494,0.000016175685,0.000013687639,0.00040602213,0.000079625286,0.0011062712],"genre_scores_gemma":[0.9982811,0.00017668048,0.0003942645,0.000016823642,0.000004202338,0.000011112295,0.00019601278,0.00001137406,0.00090851093],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99967086,0.000041860756,0.0000187327,0.000053880016,0.00015967806,0.000054996442],"domain_scores_gemma":[0.9996141,0.00014421054,0.00007193923,0.000039550105,0.00009098681,0.000039072675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016736877,0.0002330583,0.0002984375,0.00043155294,0.0001979419,0.00032493204,0.0005342303,0.00046418427,0.0025764154],"category_scores_gemma":[0.0006999853,0.00016158893,0.00016500565,0.00062783994,0.00044040327,0.0003864736,0.00027292088,0.0004499309,0.00024848795],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029673465,0.000022468099,0.0012315637,0.00010163047,0.000008930002,0.00025202284,0.00018573324,0.00028185756,0.99282277,0.00012362617,0.00011720889,0.0045555215],"study_design_scores_gemma":[0.00001612016,0.0003099309,0.015233456,0.000012658121,0.000012860044,0.00021375905,0.0001808694,0.0031312231,0.9796372,0.000093979426,0.0011443106,0.000013649178],"about_ca_topic_score_codex":0.00090038276,"about_ca_topic_score_gemma":0.0011432894,"teacher_disagreement_score":0.0025764154,"about_ca_system_score_codex":0.0003277836,"about_ca_system_score_gemma":0.00008642256,"threshold_uncertainty_score":0.008618951},"labels":[],"label_agreement":null},{"id":"W2279756945","doi":"10.1109/iecon.2015.7392426","title":"A bipolar-DC-bus EV fast charging station with intrinsic DC-bus voltages equalization and minimized voltage ripples","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Electrical engineering; Transformer; Converters; Voltage; Electric vehicle; Forward converter; Computer science; Electronic engineering; Engineering; Physics; Boost converter; Power (physics)","score_opus":0.02554550663654014,"score_gpt":0.2655500663429125,"score_spread":0.24000455970637236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2279756945","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20238689,0.0005488449,0.762508,0.0001793734,0.0001981943,0.00019387454,0.0002329092,0.0030845837,0.030667374],"genre_scores_gemma":[0.92800015,0.00029533828,0.06265508,0.00008876784,0.000044144763,0.000054848315,0.00023102885,0.00005409657,0.0085765505],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999385,0.0000061406063,0.000004514334,0.000012900086,0.000027550039,0.000010351345],"domain_scores_gemma":[0.99996436,0.0000022900824,0.000004158994,0.000005445571,0.000017274311,0.0000064040896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000058409176,0.00034304024,0.00026958247,0.00026888325,0.00029729505,0.0004358173,0.0007145038,0.0002764614,0.0023577262],"category_scores_gemma":[0.000071677125,0.00015193898,0.00020820207,0.0003770575,0.000104683844,0.00043669995,0.00024908024,0.0002224136,0.000868017],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008792009,0.00020566328,0.0018977324,0.0005438712,0.00009219004,0.0007366645,0.0001673717,0.027168585,0.5425521,0.016409911,0.0055529065,0.40379372],"study_design_scores_gemma":[0.000293817,0.0028667196,0.0066354824,0.00009030143,0.00025454746,0.0040017213,0.00017199595,0.46354207,0.44745645,0.0052159643,0.069350295,0.00012048604],"about_ca_topic_score_codex":0.0006895964,"about_ca_topic_score_gemma":0.0011889022,"teacher_disagreement_score":0.0023577262,"about_ca_system_score_codex":0.00019724914,"about_ca_system_score_gemma":0.00031011872,"threshold_uncertainty_score":0.007887363},"labels":[],"label_agreement":null},{"id":"W2281582018","doi":"10.1149/2.f03054if","title":"The Drugstore Li-Ion Cell","year":2005,"lang":"en","type":"article","venue":"The Electrochemical Society Interface","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Laptop; Battery (electricity); Electronics; Lithium (medication); Electrical engineering; Volume (thermodynamics); Energy storage; Computer science; Power (physics); Materials science; Engineering physics; Engineering; Physics; Operating system","score_opus":0.005677461628749344,"score_gpt":0.23983055664961273,"score_spread":0.23415309502086337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2281582018","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053593487,0.09380483,0.16859324,0.010297479,0.012595263,0.0023880284,0.016596321,0.0101046655,0.63202673],"genre_scores_gemma":[0.20855607,0.041935492,0.087502204,0.007090458,0.0011408381,0.0011290185,0.008039386,0.00042916054,0.6441773],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995172,0.000025585035,0.000027393478,0.00007731244,0.00032082514,0.000031659867],"domain_scores_gemma":[0.9998604,0.000010788072,0.000009761151,0.000022157737,0.00007473332,0.000022157441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028786503,0.00043851728,0.0006000209,0.0008371127,0.00080063,0.0010470224,0.0013500379,0.0010447601,0.019407293],"category_scores_gemma":[0.00047047288,0.00021560585,0.00041832085,0.0006574512,0.00040214733,0.0012812152,0.00085998775,0.0010031669,0.016897233],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004580795,0.00019469828,0.0007945344,0.0013442037,0.000057519068,0.0006079484,0.00015647236,0.00053791434,0.16373655,0.036694854,0.24908093,0.54633635],"study_design_scores_gemma":[0.000058156853,0.00018963008,0.00031182278,0.00006937766,0.00003975249,0.0017414002,0.00002285983,0.0012933221,0.11677417,0.0012488861,0.8782128,0.00003785158],"about_ca_topic_score_codex":0.00063372304,"about_ca_topic_score_gemma":0.0014486208,"teacher_disagreement_score":0.019407293,"about_ca_system_score_codex":0.0004609821,"about_ca_system_score_gemma":0.00069956784,"threshold_uncertainty_score":0.06492388},"labels":[],"label_agreement":null},{"id":"W2282281571","doi":"10.1109/iecon.2015.7392603","title":"Minimizing battery wear in a hybrid energy storage system using a linear quadratic regulator","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canada Excellence Research Chairs, Government of Canada; Canada Research Chairs","keywords":"Battery (electricity); Supercapacitor; Linear-quadratic regulator; Energy storage; Electric vehicle; Electric-vehicle battery; Automotive engineering; Automotive battery; Controller (irrigation); Power (physics); Control theory (sociology); Driving range; Driving cycle; Electrical engineering; Computer science; Engineering; Electrode; Control (management); Capacitance; Physics","score_opus":0.038259137425272524,"score_gpt":0.2641085163328172,"score_spread":0.22584937890754464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2282281571","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11871513,0.000526176,0.872696,0.0003156335,0.000055251443,0.00007393713,0.00004148692,0.00054792385,0.00702845],"genre_scores_gemma":[0.9846519,0.000091322305,0.013327662,0.000043722164,0.000014969759,0.00005631121,0.000015386247,0.000016512135,0.0017821249],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969625,0.00010904807,0.000017785776,0.000055801203,0.000093072675,0.000028098588],"domain_scores_gemma":[0.9996456,0.00019163259,0.000041368192,0.000023375771,0.00008666173,0.0000113939395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006167687,0.00034217144,0.00071781117,0.00014904042,0.00030723854,0.00071421993,0.00060565793,0.00048108166,0.0010178491],"category_scores_gemma":[0.0007249107,0.0002584178,0.0003238333,0.00022423285,0.00049509754,0.0004946407,0.00052169,0.0004018716,0.00020151345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002422638,0.0001024096,0.0006446551,0.00021791675,0.00006977077,0.00018153149,0.00024693532,0.91335166,0.03478167,0.003783358,0.0009928098,0.045384984],"study_design_scores_gemma":[0.000012747526,0.00010498172,0.00009100803,0.0000037479374,0.0000072903376,0.000013024859,0.000012682133,0.9982333,0.0009146998,0.00038027426,0.00022180504,0.000004457306],"about_ca_topic_score_codex":0.0019544684,"about_ca_topic_score_gemma":0.0017175612,"teacher_disagreement_score":0.0019544684,"about_ca_system_score_codex":0.0003001564,"about_ca_system_score_gemma":0.00032629297,"threshold_uncertainty_score":0.0038862228},"labels":[],"label_agreement":null},{"id":"W2284431200","doi":"10.3384/ecp15118469","title":"Developing Mathematical Models of Batteries in Modelica for Energy Storage Applications","year":2015,"lang":"en","type":"article","venue":"Linköping electronic conference proceedings","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Maple Leaf Foods","funders":"","keywords":"Modelica; Battery (electricity); Computer science; Component (thermodynamics); Energy storage; Fidelity; Mathematical model; High fidelity; Reliability engineering; Systems engineering; Control engineering; Electrical engineering; Simulation; Engineering; Telecommunications","score_opus":0.05729187201737359,"score_gpt":0.2905063224316298,"score_spread":0.23321445041425623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2284431200","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00075905403,0.00019189878,0.9941983,0.00009330262,0.000041535983,0.000043425473,0.00014045251,0.0010014306,0.0035306616],"genre_scores_gemma":[0.13908827,0.003076327,0.83466136,0.00036526905,0.00013727917,0.0011703986,0.0016488628,0.0010590043,0.018793173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948645,0.00014185188,0.00005063498,0.000059139267,0.00023654013,0.000025364117],"domain_scores_gemma":[0.9991892,0.00039855923,0.000056232744,0.00012417829,0.00022137744,0.000010466842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008609179,0.0013111039,0.00078999926,0.0008155078,0.00049297867,0.0017323872,0.002094499,0.0013436492,0.0065452713],"category_scores_gemma":[0.0034830866,0.0008628992,0.0012425209,0.00077118777,0.0005908588,0.0023789632,0.0009888343,0.0028438966,0.005165273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035914534,0.00006569432,0.00033236033,0.0007653949,0.00008354569,0.00023824321,0.00028038584,0.7105487,0.010155155,0.20110266,0.005935825,0.0704561],"study_design_scores_gemma":[0.000015354304,0.00003043503,0.00007946319,0.00009806239,0.000030100739,0.00008707014,0.000034756904,0.9227709,0.005495493,0.03888219,0.032456335,0.000019896703],"about_ca_topic_score_codex":0.0037807564,"about_ca_topic_score_gemma":0.0048778844,"teacher_disagreement_score":0.0065452713,"about_ca_system_score_codex":0.00066517247,"about_ca_system_score_gemma":0.001184627,"threshold_uncertainty_score":0.021896124},"labels":[],"label_agreement":null},{"id":"W2285444978","doi":"","title":"Residential Battery Energy Storage Systems for Renewable Energy Integration and Peak Shaving","year":2012,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Peaking power plant; Energy storage; Battery storage; Battery (electricity); Automotive engineering; Environmental science; Engineering; Computer science; Process engineering; Waste management; Electrical engineering; Distributed generation; Power (physics); Physics","score_opus":0.004258291966511073,"score_gpt":0.1653373519332367,"score_spread":0.16107905996672564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2285444978","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4925627,0.008946815,0.267079,0.0020026786,0.00043852584,0.0010722384,0.0035974637,0.0049683126,0.21933226],"genre_scores_gemma":[0.8704964,0.004841487,0.033348188,0.000116319636,0.00003167526,0.00018089279,0.0015706364,0.00014312554,0.089271255],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986887,0.000013409119,0.000006049338,0.000013283875,0.00008383722,0.000014544223],"domain_scores_gemma":[0.9998373,0.000015371446,0.000005504057,0.000015797226,0.00011879917,0.000007173073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021408076,0.00025589345,0.00036975543,0.0003403265,0.0008527808,0.00060893834,0.00065450196,0.00026878712,0.008692742],"category_scores_gemma":[0.00029678163,0.00015582702,0.00034304694,0.00096348993,0.00016147988,0.0006502058,0.00025583245,0.00039915013,0.0017767797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006506261,0.0005931628,0.0055221533,0.0016562463,0.00007184669,0.0005145826,0.00095807284,0.048457652,0.17784551,0.028453002,0.03743925,0.697838],"study_design_scores_gemma":[0.00022740128,0.0013271951,0.017578783,0.00033049323,0.00032035768,0.0011500005,0.0015605255,0.14474781,0.48839387,0.01100489,0.33323154,0.00012716568],"about_ca_topic_score_codex":0.022624841,"about_ca_topic_score_gemma":0.076542124,"teacher_disagreement_score":0.022624841,"about_ca_system_score_codex":0.0012338867,"about_ca_system_score_gemma":0.0018358382,"threshold_uncertainty_score":0.044986308},"labels":[],"label_agreement":null},{"id":"W2285872966","doi":"10.1149/ma2013-02/14/1190","title":"Thermal Conductivity, Heat Sources and Temperature Profiles of Li-Ion Secondary Batteries","year":2013,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Thermal conductivity; Materials science; Ion; Conductivity; Thermal; Nuclear engineering; Engineering physics; Chemistry; Thermodynamics; Composite material; Physics; Engineering; Physical chemistry; Organic chemistry","score_opus":0.01172134943321838,"score_gpt":0.2314420010718687,"score_spread":0.21972065163865034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2285872966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98816293,0.0006655094,0.0032201456,0.00008415191,0.000025819492,0.000015141601,0.0013004183,0.00017658848,0.0063492903],"genre_scores_gemma":[0.99706715,0.00013812467,0.00018635853,0.000007010557,0.000005152246,0.000007611688,0.00041909105,0.000030971554,0.0021384817],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99994195,0.000006645398,0.0000035538649,0.000014660148,0.000021405054,0.000011743978],"domain_scores_gemma":[0.9998246,0.000049843857,0.000013498415,0.0000125169545,0.000085367785,0.000014294225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013146043,0.00021560132,0.00029002255,0.00036812908,0.0002187919,0.0004068449,0.00022821884,0.00019902215,0.0032266069],"category_scores_gemma":[0.0004123529,0.00013030402,0.0001774136,0.00040372743,0.00023449998,0.00040316893,0.00012643274,0.00018554392,0.0008722147],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036208164,0.0002126972,0.015847024,0.00031807699,0.000042965665,0.00038184642,0.000625919,0.026017485,0.9097847,0.0029341972,0.0046379236,0.035576493],"study_design_scores_gemma":[0.0000590265,0.00083136105,0.062286265,0.000080342135,0.000054366563,0.0004537013,0.000646693,0.10470562,0.81882703,0.0030601441,0.008934974,0.000060365222],"about_ca_topic_score_codex":0.0012405219,"about_ca_topic_score_gemma":0.0011039407,"teacher_disagreement_score":0.0032266069,"about_ca_system_score_codex":0.00042006897,"about_ca_system_score_gemma":0.0002013623,"threshold_uncertainty_score":0.010794103},"labels":[],"label_agreement":null},{"id":"W2288194443","doi":"10.1149/ma2014-02/5/289","title":"Effect of Metal Composition on the Electrochemical Properties of Lithium-Rich Positive Electrode Materials","year":2014,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Electrochemistry; Lithium (medication); Materials science; Electrode; Metal; Transition metal; Oxide; Anode; Analytical Chemistry (journal); Inorganic chemistry; Metallurgy; Chemistry; Physical chemistry","score_opus":0.008579224075258978,"score_gpt":0.23398181404488355,"score_spread":0.22540258996962456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288194443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948775,0.0018337996,0.0011069753,0.000070649025,0.00003409314,0.000034759203,0.0003040144,0.00008457856,0.001653786],"genre_scores_gemma":[0.9961045,0.0009607524,0.0018462163,0.000043296848,0.0000083740315,0.000028572253,0.0001958949,0.000024643909,0.0007877944],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999741,0.00005036043,0.000034639324,0.000057870933,0.00008373997,0.000032310105],"domain_scores_gemma":[0.99950075,0.00021131578,0.00009899629,0.00003971805,0.000111936606,0.000037293794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002893575,0.00040477965,0.00032437648,0.00026898272,0.00015108746,0.00042888924,0.0005750207,0.00041084405,0.0012890729],"category_scores_gemma":[0.00092303194,0.00029142367,0.0001404619,0.00030408578,0.00021083822,0.0003190256,0.00022170201,0.00032542096,0.00030412202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030538233,0.000024842742,0.00045662175,0.0001574913,0.000014535349,0.000058974085,0.000044008764,0.00016096846,0.99654466,0.000044073528,0.00004016873,0.0021483279],"study_design_scores_gemma":[0.000006510517,0.0001578639,0.0009924163,0.0000070509764,0.000020860572,0.000041239542,0.000023245255,0.00045500742,0.99782926,0.000014255131,0.0004483235,0.000003862003],"about_ca_topic_score_codex":0.00035197474,"about_ca_topic_score_gemma":0.00058686297,"teacher_disagreement_score":0.0012890729,"about_ca_system_score_codex":0.00019155492,"about_ca_system_score_gemma":0.000113741924,"threshold_uncertainty_score":0.004312396},"labels":[],"label_agreement":null},{"id":"W2293517459","doi":"10.1007/978-1-4471-5677-2_5","title":"Mathematical Modeling of Aging of Li-Ion Batteries","year":2015,"lang":"en","type":"book-chapter","venue":"Green energy and technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Characterization (materials science); Section (typography); Engineering; Mechanical engineering; Engineering physics; Computer science; Systems engineering; Nanotechnology; Materials science; Physics","score_opus":0.02775063540665369,"score_gpt":0.2439431223143125,"score_spread":0.21619248690765883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293517459","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028602125,0.047478862,0.72612834,0.0052915947,0.002509377,0.00009074257,0.0010466197,0.00041899196,0.1884333],"genre_scores_gemma":[0.6114135,0.04602919,0.056280237,0.0013266179,0.0027267735,0.00040294213,0.0012043858,0.00041465688,0.28020167],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998461,0.000034938992,0.00001066006,0.000027259994,0.000063597785,0.000017434537],"domain_scores_gemma":[0.9997311,0.000107841945,0.000027443431,0.000022906634,0.0000972738,0.000013429514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004495076,0.0008920349,0.0009016946,0.0007363924,0.0003447097,0.0012389673,0.0019584536,0.0013841644,0.0043076547],"category_scores_gemma":[0.0015027148,0.00033012536,0.00093688205,0.00069399754,0.0008830303,0.0019238063,0.0007823402,0.0014400423,0.0012550468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002809881,0.000047308902,0.00020296732,0.00025097298,0.00003157755,0.00009971455,0.00015036803,0.27436447,0.002259317,0.6908515,0.012753698,0.018960007],"study_design_scores_gemma":[0.000005781032,0.00001592519,0.00015401383,0.00004854749,0.0000139908525,0.00009932062,0.00002256484,0.72588277,0.00046701447,0.25689128,0.01638035,0.000018547404],"about_ca_topic_score_codex":0.002702172,"about_ca_topic_score_gemma":0.0019883239,"teacher_disagreement_score":0.0043076547,"about_ca_system_score_codex":0.0013368732,"about_ca_system_score_gemma":0.0006714589,"threshold_uncertainty_score":0.014410555},"labels":[],"label_agreement":null},{"id":"W2293614296","doi":"10.4271/2016-01-0655","title":"Numerical Investigation of Active and Passive Cooling Systems of a Lithium-Ion Battery Module for Electric Vehicles","year":2016,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Ontario Trillium Foundation","keywords":"Battery (electricity); Lithium (medication); Automotive engineering; Ion; Nuclear engineering; Electrical engineering; Lithium-ion battery; Materials science; Aerospace engineering; Computer science; Engineering; Mechanical engineering; Environmental science; Physics; Power (physics); Thermodynamics","score_opus":0.014264236926709584,"score_gpt":0.2480014198197216,"score_spread":0.233737182893012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293614296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.922768,0.000591619,0.054246932,0.00069795176,0.00008925368,0.00010374304,0.00030418934,0.000219804,0.020978553],"genre_scores_gemma":[0.99320036,0.00008932432,0.003907279,0.000026346665,0.0000055283363,0.000046357727,0.00006368009,0.000014299647,0.002646817],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999905,0.000026929787,0.000004344672,0.000015576374,0.00002331348,0.000024798546],"domain_scores_gemma":[0.9995732,0.0002508231,0.000045573546,0.000017411687,0.00008193645,0.00003111437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033941242,0.0003880678,0.00054684095,0.00044024838,0.0006746375,0.0007947229,0.00060504925,0.0012185873,0.0024251102],"category_scores_gemma":[0.0012676271,0.00033448962,0.0005419054,0.0003447952,0.0006348687,0.00055042666,0.00045141517,0.00048725482,0.00015963694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065411674,0.0000359913,0.0012355958,0.0000431393,0.000008336442,0.000079648955,0.00003093361,0.99386567,0.0019940308,0.0009331486,0.00020655013,0.0015015682],"study_design_scores_gemma":[0.0000070851665,0.000021243475,0.00018621136,0.0000023343707,0.0000023906384,0.000004970772,0.000015841826,0.9992218,0.00034665878,0.00008639415,0.00010267644,0.0000023912337],"about_ca_topic_score_codex":0.020108199,"about_ca_topic_score_gemma":0.010480112,"teacher_disagreement_score":0.020108199,"about_ca_system_score_codex":0.00095835887,"about_ca_system_score_gemma":0.00097560324,"threshold_uncertainty_score":0.03998232},"labels":[],"label_agreement":null},{"id":"W2294952968","doi":"10.2172/958302","title":"A study of the relationship between lithium ion transport and structure and dynamic behavior in polyethylene oxide-melt/LiClO&lt;sub&gt;4&lt;/sub&gt; battery electrolytes.","year":2009,"lang":"en","type":"report","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Molar mass; Materials science; Lithium (medication); Battery (electricity); Electrolyte; Polymer; Ethylene oxide; Oxide; Chemical engineering; Electrical engineering; Engineering physics; Chemistry; Engineering; Composite material; Physics; Thermodynamics; Power (physics); Physical chemistry","score_opus":0.02263927618693539,"score_gpt":0.2865818034039345,"score_spread":0.2639425272169991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294952968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99746823,0.00038450153,0.0010162672,0.00003829976,0.0000050832286,0.000009351164,0.00011459894,0.000031070707,0.0009325716],"genre_scores_gemma":[0.9970216,0.0003693223,0.0011375787,0.000022991908,0.0000032142007,0.000012082686,0.00022342455,0.00001166286,0.001198043],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999424,0.000005754253,0.0000032691519,0.00001624639,0.000021944563,0.000010427778],"domain_scores_gemma":[0.9998609,0.000051991297,0.00003114019,0.000009155268,0.000037208665,0.000009657524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012507688,0.00013012609,0.00009003941,0.000165526,0.00016408294,0.000189182,0.00018287802,0.00020549558,0.0008300352],"category_scores_gemma":[0.0004139403,0.00009940474,0.00009727157,0.00019721998,0.00019057916,0.0004355714,0.00010995339,0.00026691446,0.00020717432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007127847,0.000021926488,0.0006284636,0.00003573352,0.000003403561,0.000056642504,0.00008035795,0.00016502556,0.99598986,0.000092406626,0.000042729225,0.0028121378],"study_design_scores_gemma":[0.000004088445,0.00017743559,0.003497435,0.0000035410055,0.000004823512,0.000079568876,0.00006725492,0.0020736146,0.99309653,0.000027231372,0.00096425135,0.000004078954],"about_ca_topic_score_codex":0.0010649546,"about_ca_topic_score_gemma":0.0010005058,"teacher_disagreement_score":0.0010649546,"about_ca_system_score_codex":0.00020399374,"about_ca_system_score_gemma":0.00011388724,"threshold_uncertainty_score":0.0027766824},"labels":[],"label_agreement":null},{"id":"W2295269567","doi":"10.1002/er.3496","title":"Review on use of phase change materials in battery thermal management for electric and hybrid electric vehicles","year":2016,"lang":"en","type":"article","venue":"International Journal of Energy Research","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":245,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Battery (electricity); Battery electric vehicle; Automotive engineering; Electric vehicle; Range (aeronautics); Electric power; Thermal management of electronic devices and systems; Energy management; Driving range; Engineering; Environmental science; Mechanical engineering; Power (physics); Aerospace engineering; Energy (signal processing)","score_opus":0.09917435147032495,"score_gpt":0.38458453449604196,"score_spread":0.285410183025717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295269567","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00035826818,0.9973406,0.00037094372,0.00009209098,0.00030153315,0.000011070796,0.000025808384,0.000010580422,0.0014890042],"genre_scores_gemma":[0.0016810377,0.9959388,0.000567183,0.00015919408,0.00019664803,0.000013974793,0.0000641427,0.000005733357,0.0013732901],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997018,0.00004432487,0.00005849934,0.000055942925,0.000114819624,0.000024595141],"domain_scores_gemma":[0.99958366,0.00018058857,0.00007216778,0.0000144601045,0.00012952928,0.00001953685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004557232,0.001039175,0.001369647,0.0022377986,0.00030613597,0.000900986,0.0010024813,0.000998567,0.0040219207],"category_scores_gemma":[0.0006767826,0.00047877873,0.0008454923,0.0027946224,0.00027088175,0.0017742687,0.0005035534,0.00084519107,0.002250651],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013316647,0.00012566005,0.00020034304,0.07849777,0.00020531498,0.00035058838,0.0001196458,0.001429035,0.013599097,0.0034770716,0.031994574,0.8698677],"study_design_scores_gemma":[0.000011286803,0.00021031266,0.0006351401,0.005681611,0.00023866915,0.0008649949,0.000058693735,0.00021695229,0.0043641995,0.00085862196,0.98682946,0.00003005569],"about_ca_topic_score_codex":0.0010738872,"about_ca_topic_score_gemma":0.0016861631,"teacher_disagreement_score":0.0040219207,"about_ca_system_score_codex":0.00042418184,"about_ca_system_score_gemma":0.0008025025,"threshold_uncertainty_score":0.013454616},"labels":[],"label_agreement":null},{"id":"W2298697883","doi":"10.1149/ma2016-03/1/26","title":"Electrolytes without Ethylene Carbonate for High Voltage NMC/Graphite Li-Ion Cells","year":2016,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Ethylene carbonate; Electrolyte; Carbonate; Graphite; Chemistry; Coulometry; Chemical engineering; Materials science; Inorganic chemistry; Electrochemistry; Organic chemistry; Physical chemistry; Electrode","score_opus":0.010466149073431718,"score_gpt":0.23934521820410448,"score_spread":0.22887906913067277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2298697883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71419,0.039016694,0.15246472,0.0035094416,0.0039090062,0.0013563428,0.006886482,0.0032225878,0.07544478],"genre_scores_gemma":[0.85003364,0.01025231,0.12266577,0.00047501305,0.00014316457,0.0004550251,0.0033994983,0.00025827537,0.012317264],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99940073,0.000043320724,0.00006172284,0.000056619432,0.00039550025,0.00004212425],"domain_scores_gemma":[0.9996182,0.00006627985,0.00004150576,0.000051929477,0.00018925163,0.000032884713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044796252,0.0003598378,0.00035188266,0.0006708011,0.0005256713,0.00066559226,0.00092888257,0.0007453525,0.0032362246],"category_scores_gemma":[0.0012937321,0.00022051363,0.0002484065,0.00084016257,0.00013625975,0.00066513475,0.00031561378,0.00085269916,0.0013263316],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018143555,0.00007156816,0.0005021677,0.0010020297,0.000015303058,0.00027886644,0.00005678081,0.00049820915,0.9584757,0.002091714,0.0032247107,0.033601474],"study_design_scores_gemma":[0.000026108048,0.00015119168,0.00072609796,0.00006743067,0.000021630134,0.00037764822,0.00002839155,0.0013073528,0.9591842,0.00025891204,0.037831347,0.00001972177],"about_ca_topic_score_codex":0.001090109,"about_ca_topic_score_gemma":0.004322896,"teacher_disagreement_score":0.0032362246,"about_ca_system_score_codex":0.00048170096,"about_ca_system_score_gemma":0.00038833515,"threshold_uncertainty_score":0.01082629},"labels":[],"label_agreement":null},{"id":"W2300276917","doi":"10.1016/j.est.2016.03.003","title":"Accuracy improvement of SOC estimation in lithium-ion batteries","year":2016,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":145,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Battery pack; State of charge; Voltage; Adaptive neuro fuzzy inference system; Battery (electricity); System on a chip; Computer science; Automotive engineering; Fuzzy logic; Engineering; Control theory (sociology); Simulation; Power (physics); Electrical engineering; Embedded system; Artificial intelligence; Fuzzy control system; Physics","score_opus":0.012717754038776754,"score_gpt":0.2656985728725708,"score_spread":0.2529808188337941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2300276917","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53526753,0.004461962,0.45039862,0.00041924807,0.00039952106,0.000040024657,0.00044026223,0.003002965,0.0055698566],"genre_scores_gemma":[0.9828333,0.00027456618,0.015583996,0.000042367217,0.00004580949,0.000007733626,0.00023552714,0.000036049983,0.0009405824],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993123,0.0001410517,0.00005983223,0.00012936525,0.00028801756,0.00006950384],"domain_scores_gemma":[0.99787617,0.00078349694,0.00014274378,0.0002491256,0.00091593654,0.000032467487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080536306,0.00049255474,0.00047424674,0.0007043516,0.00034381764,0.0009484645,0.0006790267,0.00048959407,0.00060244714],"category_scores_gemma":[0.005439399,0.00021160996,0.00023368842,0.0005557357,0.00017507604,0.00066868385,0.0005408079,0.00039070836,0.00037084945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001872678,0.00013889495,0.052764375,0.00035636235,0.00020375075,0.00025375746,0.00034836557,0.20428903,0.06662323,0.002524166,0.003251204,0.66737425],"study_design_scores_gemma":[0.000015641108,0.0001280087,0.012407799,0.000026004958,0.000049625538,0.00014778083,0.00005648345,0.93957263,0.04516207,0.00077475415,0.0016342697,0.000024914005],"about_ca_topic_score_codex":0.005821731,"about_ca_topic_score_gemma":0.004852996,"teacher_disagreement_score":0.005821731,"about_ca_system_score_codex":0.00041279537,"about_ca_system_score_gemma":0.0004691399,"threshold_uncertainty_score":0.011575699},"labels":[],"label_agreement":null},{"id":"W2301156041","doi":"10.1149/ma2014-02/5/441","title":"The Effect of Intentionally Added Water on Gas Evolution in Li-Ion Pouch Cells","year":2014,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Electrolyte; Chemistry; Volume (thermodynamics); Chemical engineering; Materials science; Electrode","score_opus":0.006293220371748061,"score_gpt":0.22927487209101285,"score_spread":0.2229816517192648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2301156041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99567246,0.0022808877,0.0012300558,0.000044154676,0.0000500017,0.00002139514,0.000157804,0.000055081557,0.00048823826],"genre_scores_gemma":[0.9981828,0.00056350726,0.00084474846,0.000028013885,0.0000084315,0.000013320414,0.00007440195,0.000010809012,0.0002739838],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996878,0.00006162892,0.000026767839,0.000068648704,0.00009556805,0.000059536815],"domain_scores_gemma":[0.9997422,0.00010337008,0.000057367884,0.00002354975,0.000053333304,0.000020133948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023390153,0.00035926368,0.00032455497,0.00017616015,0.00018826859,0.0004997117,0.00045384106,0.00044970363,0.0008335766],"category_scores_gemma":[0.00050592195,0.0001290524,0.00024076129,0.00031550217,0.0003646493,0.0005729839,0.00035711034,0.00039847242,0.00013453836],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003464156,0.00005129237,0.0009025185,0.0001979566,0.000016170612,0.00015910994,0.00007641826,0.0004528861,0.9913566,0.00008002358,0.00007072632,0.0062898067],"study_design_scores_gemma":[0.0000048064812,0.00035994092,0.0012237887,0.0000052992805,0.000012531087,0.00004467528,0.00003532892,0.0012400282,0.9964921,0.000018471555,0.0005557156,0.0000074170844],"about_ca_topic_score_codex":0.0005704677,"about_ca_topic_score_gemma":0.0005553846,"teacher_disagreement_score":0.0008335766,"about_ca_system_score_codex":0.00024222961,"about_ca_system_score_gemma":0.0001240529,"threshold_uncertainty_score":0.0027885437},"labels":[],"label_agreement":null},{"id":"W2302129186","doi":"10.1149/ma2014-02/7/516","title":"3M HQ-115 (LiTFSI) Electrolyte Additive Dramatically Improves Battery Performance in Electrolytes Containing Trace Amounts of Water","year":2014,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Electrolyte; Separator (oil production); Materials science; Electrochemistry; Graphite; Lithium (medication); Electrode; Chemical engineering; Chemistry; Composite material; Medicine","score_opus":0.006733370178487438,"score_gpt":0.2231097911190507,"score_spread":0.21637642094056325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2302129186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99224174,0.0014091847,0.0036524187,0.0001207624,0.000036270932,0.00001941245,0.00023937947,0.00025714363,0.0020236429],"genre_scores_gemma":[0.9948211,0.00051537174,0.0023494326,0.000065658525,0.0000067328315,0.0000108384775,0.00024597102,0.000021118029,0.001963789],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999749,0.000024004268,0.00003447663,0.0000424177,0.00010429565,0.000045848286],"domain_scores_gemma":[0.9999167,0.00001446404,0.00002286498,0.0000072125167,0.000026520605,0.000012336485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020468327,0.00031741132,0.00023323856,0.0003203615,0.00015319165,0.00039433478,0.000409304,0.00034234076,0.0012293467],"category_scores_gemma":[0.00027440206,0.00012029387,0.00025863692,0.0002551436,0.00016146264,0.00040391815,0.00026771857,0.00030917965,0.00025672946],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006388747,0.000017956008,0.00032886746,0.00007911871,0.0000059835875,0.00008310553,0.000026783964,0.00007720321,0.99557424,0.00006774,0.000102458915,0.0035727161],"study_design_scores_gemma":[0.0000030322558,0.00017218255,0.00096057425,0.0000049419295,0.000010457826,0.000086410386,0.000014717761,0.00030451053,0.99747,0.000008063375,0.0009613606,0.000003741755],"about_ca_topic_score_codex":0.0018595966,"about_ca_topic_score_gemma":0.0025561529,"teacher_disagreement_score":0.0018595966,"about_ca_system_score_codex":0.00024750482,"about_ca_system_score_gemma":0.00014100324,"threshold_uncertainty_score":0.0041125417},"labels":[],"label_agreement":null},{"id":"W2302833885","doi":"10.3166/ejee.14.383-397","title":"Surveillance temps réel de batterie Li-ion","year":2011,"lang":"fr","type":"article","venue":"European Journal of Electrical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Kalman filter; Observer (physics); State of charge; Battery (electricity); Extended Kalman filter; Ion; Control theory (sociology); Computer science; Physics; Power (physics); Artificial intelligence; Control (management)","score_opus":0.020886671855896474,"score_gpt":0.22322775875796674,"score_spread":0.20234108690207026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2302833885","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4926712,0.019656697,0.024816783,0.02012616,0.012550731,0.0007800833,0.013902485,0.008368155,0.40712765],"genre_scores_gemma":[0.5951083,0.005490928,0.010896571,0.0033125475,0.0042120037,0.00025920046,0.008724758,0.0007477677,0.371248],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971753,0.000039305043,0.000012066962,0.000059980037,0.00010734785,0.00006378591],"domain_scores_gemma":[0.9995296,0.00007343288,0.000036532667,0.000031974003,0.00019132276,0.00013704122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004941951,0.00085432606,0.00057888904,0.0007561258,0.001118053,0.0014363793,0.00050975574,0.0015920518,0.0323951],"category_scores_gemma":[0.00092254364,0.000165253,0.0004472549,0.00025269843,0.00029076345,0.0006002371,0.0010299702,0.0012022256,0.009114188],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005466356,0.00039897952,0.08171559,0.00089521916,0.00024301355,0.010857071,0.0026874086,0.0024850555,0.10357218,0.0025842655,0.41269132,0.37640348],"study_design_scores_gemma":[0.0001786531,0.00081952877,0.09424606,0.0005039541,0.00012778224,0.0051021567,0.0021674838,0.0044694724,0.019362362,0.00091796956,0.8719997,0.00010496397],"about_ca_topic_score_codex":0.012611677,"about_ca_topic_score_gemma":0.016330328,"teacher_disagreement_score":0.0323951,"about_ca_system_score_codex":0.0008092506,"about_ca_system_score_gemma":0.00070418714,"threshold_uncertainty_score":0.10837239},"labels":[],"label_agreement":null},{"id":"W2305502609","doi":"10.1149/ma2016-03/2/678","title":"Modeling of Conductivity of Lithium Salt in Electrolytes for Lithium-Ion Batteries","year":2016,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Electrolyte; Conductivity; Lithium (medication); Ionic conductivity; Ternary operation; Ion; Solvation; Battery (electricity); Lithium-ion battery; Materials science; Chemistry; Thermodynamics; Computer science; Organic chemistry; Physical chemistry; Physics; Electrode; Power (physics)","score_opus":0.02549424321017755,"score_gpt":0.2722845312908903,"score_spread":0.24679028808071277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2305502609","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16167995,0.019248806,0.7605359,0.0014876891,0.0007180652,0.0005795656,0.0023354557,0.0012868727,0.052127764],"genre_scores_gemma":[0.8968029,0.011807309,0.06553495,0.0002467211,0.00011371125,0.0008574171,0.0010232499,0.00023585506,0.023377817],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975675,0.000058888625,0.000017372698,0.00004320468,0.00010557721,0.000018174895],"domain_scores_gemma":[0.9998105,0.00009206776,0.000019869887,0.000013458288,0.00005754754,0.000006509784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034510644,0.0009266567,0.00090466265,0.00045337193,0.00052487047,0.0010339953,0.0015034311,0.0020461339,0.0015696918],"category_scores_gemma":[0.000996827,0.00031068455,0.00077890314,0.0007411467,0.00054036017,0.0014721041,0.00047098866,0.0008482913,0.00086691434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010897849,0.00010715765,0.0012163976,0.0006975492,0.00003497208,0.00033361654,0.00021504979,0.8826949,0.07257396,0.0227666,0.0016001678,0.01765071],"study_design_scores_gemma":[0.0000098143255,0.00005868665,0.00016420135,0.000042782754,0.000012163631,0.00006534769,0.000019293098,0.9794698,0.0116768135,0.0030187215,0.0054441867,0.000018150671],"about_ca_topic_score_codex":0.0023750237,"about_ca_topic_score_gemma":0.0018088415,"teacher_disagreement_score":0.0023750237,"about_ca_system_score_codex":0.0012438194,"about_ca_system_score_gemma":0.0007490409,"threshold_uncertainty_score":0.00902456},"labels":[],"label_agreement":null},{"id":"W2306890932","doi":"10.1149/ma2014-02/1/18","title":"Two and Three Electrode Electrochemical Cells for Ambient and High Temperature Battery Materials Research","year":2014,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Gasket; Electrolyte; Electrode; Materials science; Separator (oil production); Composite material; Elastomer; Electrochemical cell; Battery (electricity); Electrochemistry; Chemistry","score_opus":0.01563064812259516,"score_gpt":0.27803498361892603,"score_spread":0.26240433549633085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2306890932","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18540625,0.038087003,0.69248426,0.002297851,0.003615622,0.0010283468,0.00772897,0.007783043,0.06156862],"genre_scores_gemma":[0.48639277,0.01472699,0.43843415,0.0012234518,0.00058055215,0.0009426509,0.00550329,0.000714186,0.051481858],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999116,0.00009120254,0.00006776673,0.00019575343,0.00045051269,0.00007873849],"domain_scores_gemma":[0.9993845,0.00010046267,0.000052454736,0.00013940745,0.00024947122,0.000073719566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007209043,0.0006015558,0.00072344876,0.0006974636,0.00038963804,0.0012726845,0.0014913531,0.0013094043,0.01205492],"category_scores_gemma":[0.0006070143,0.0003197433,0.00050893234,0.0010604605,0.0003476302,0.001827394,0.0007948281,0.001304613,0.0056397873],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018191242,0.00014310054,0.00080933236,0.00073734415,0.000026906162,0.00018549024,0.00008373259,0.00083272037,0.8857296,0.008544599,0.0076691555,0.09505604],"study_design_scores_gemma":[0.000034585846,0.00037400407,0.001677779,0.000060343067,0.00003673907,0.0008533695,0.000055015924,0.005166297,0.8625376,0.0029708005,0.12615934,0.00007418623],"about_ca_topic_score_codex":0.00029423504,"about_ca_topic_score_gemma":0.00054205995,"teacher_disagreement_score":0.01205492,"about_ca_system_score_codex":0.00044204338,"about_ca_system_score_gemma":0.00033812702,"threshold_uncertainty_score":0.040327728},"labels":[],"label_agreement":null},{"id":"W2308043542","doi":"10.1149/ma2014-04/4/725","title":"The Impact of Intentionally Added Water to the Electrolyte in Li-Ion Cells","year":2014,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Electrolyte; Faraday efficiency; Lithium (medication); Materials science; Cycling; Chemical engineering; Graphite; Chemistry; Composite material; Electrode; Engineering","score_opus":0.009162921559739511,"score_gpt":0.2557127542347722,"score_spread":0.24654983267503267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2308043542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99211204,0.0032456312,0.0034058816,0.000062159066,0.00006032476,0.000043707678,0.00012345488,0.00008321626,0.0008635007],"genre_scores_gemma":[0.9943381,0.0014088589,0.0030252743,0.00005580912,0.0000135684595,0.000021635675,0.00008931968,0.000024634977,0.0010228072],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994331,0.00009526311,0.00006117619,0.00007149862,0.00029293698,0.00004598766],"domain_scores_gemma":[0.9996207,0.00013702299,0.00011424661,0.000031212174,0.00007537059,0.000021513828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023320077,0.00034432576,0.0003660036,0.00022396086,0.0002737193,0.0007651009,0.00043115675,0.00048990734,0.0007680477],"category_scores_gemma":[0.0006729016,0.00018116883,0.00018838458,0.00034186803,0.0005196032,0.00069856754,0.00041697954,0.00043194168,0.00025374358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012811588,0.000030080571,0.00058203307,0.00012586576,0.000009369408,0.00012712397,0.00004604902,0.00048925215,0.99469227,0.00006107897,0.000026480851,0.0036823903],"study_design_scores_gemma":[0.0000026611062,0.00033737268,0.0007262354,0.000005928222,0.000011418896,0.000065005515,0.000047804104,0.0006824904,0.99745363,0.000020125615,0.00064177415,0.000005585522],"about_ca_topic_score_codex":0.00062421913,"about_ca_topic_score_gemma":0.001667171,"teacher_disagreement_score":0.0007680477,"about_ca_system_score_codex":0.00031665873,"about_ca_system_score_gemma":0.00016335299,"threshold_uncertainty_score":0.0025693178},"labels":[],"label_agreement":null},{"id":"W2308223268","doi":"10.1149/ma2014-02/5/317","title":"Studies of the Effect of Varying Prop-1-Ene-1,3-Sultone (PES) Concentration on Li-Ion Batteries","year":2014,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Electrolyte; Ion; Lithium (medication); Electrochemistry; Chemistry; Graphite; Coulometry; Dielectric spectroscopy; Chemical engineering; Materials science; Analytical Chemistry (journal); Electrode; Physical chemistry; Organic chemistry","score_opus":0.0176402598439264,"score_gpt":0.27718113937617184,"score_spread":0.2595408795322454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2308223268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960337,0.0022149663,0.0006675676,0.000034730107,0.000020190693,0.000036869693,0.00042419604,0.00002762777,0.00054014917],"genre_scores_gemma":[0.9937522,0.0027821602,0.0020845474,0.000034402972,0.000018073799,0.00005422572,0.00036931873,0.000020422567,0.00088459207],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99953127,0.00008489951,0.00008223298,0.00010095671,0.00013689305,0.00006375828],"domain_scores_gemma":[0.9994456,0.00024744816,0.0001222594,0.000043244814,0.0001081782,0.00003322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000446064,0.00057873124,0.0005001268,0.00034784322,0.00024048598,0.0004062242,0.0005561766,0.0005925275,0.0012047241],"category_scores_gemma":[0.0005969256,0.00024068622,0.0003007769,0.0006151133,0.00029637077,0.00046145738,0.00022664001,0.000474759,0.00026476922],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035814368,0.00009061977,0.0004660186,0.00022279464,0.000017864404,0.00007889244,0.00005654471,0.00039241373,0.99588364,0.000025416723,0.000031291886,0.002376406],"study_design_scores_gemma":[0.000004454103,0.00048638892,0.0011918308,0.000005105534,0.000017292763,0.000024561406,0.000018797431,0.00030117368,0.99757963,0.0000068506383,0.0003587762,0.000005229091],"about_ca_topic_score_codex":0.00078153395,"about_ca_topic_score_gemma":0.0009753491,"teacher_disagreement_score":0.0012047241,"about_ca_system_score_codex":0.00022393375,"about_ca_system_score_gemma":0.0001541845,"threshold_uncertainty_score":0.0040302277},"labels":[],"label_agreement":null},{"id":"W2308365205","doi":"10.1149/ma2014-01/1/77","title":"3D Simulation of Microstructure Effects in Alkaline Battery Cathodes","year":2014,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cathode; Microstructure; Battery (electricity); Materials science; Monte Carlo method; Computer science; Alkaline battery; Simulation; Composite material; Electrical engineering; Physics; Thermodynamics; Engineering; Mathematics","score_opus":0.010032790332119543,"score_gpt":0.2632271827940862,"score_spread":0.2531943924619666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2308365205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6771781,0.000773266,0.2846347,0.0007309234,0.00009343443,0.00018790526,0.002195148,0.0011255945,0.033080995],"genre_scores_gemma":[0.96988744,0.00035128597,0.026664615,0.00008203153,0.000012143638,0.00015166431,0.00040783107,0.00008954008,0.0023533795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988437,0.00001875109,0.0000046975915,0.000013998402,0.00006000166,0.000018290015],"domain_scores_gemma":[0.9998191,0.000090081194,0.000019229117,0.000017693994,0.00003940497,0.000014461524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021914222,0.00035584802,0.00045478367,0.0003051132,0.00044131203,0.00095318933,0.0007789804,0.0011663312,0.0020437536],"category_scores_gemma":[0.00066480675,0.00033724253,0.00055752177,0.0004024574,0.0006189939,0.00037818227,0.0005017216,0.00036944114,0.0002665869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013752331,0.000010810647,0.00055627915,0.000015425665,0.000004698733,0.000057003348,0.000019518046,0.99476045,0.0021736193,0.0015822861,0.0000922133,0.00071402726],"study_design_scores_gemma":[0.000006468595,0.000009433541,0.00019767237,0.000002369866,0.0000016722612,0.000016503602,0.0000081693615,0.9981988,0.0006964214,0.00057237875,0.00028601338,0.0000042021197],"about_ca_topic_score_codex":0.010780804,"about_ca_topic_score_gemma":0.005179902,"teacher_disagreement_score":0.010780804,"about_ca_system_score_codex":0.0011004264,"about_ca_system_score_gemma":0.0009839208,"threshold_uncertainty_score":0.021436095},"labels":[],"label_agreement":null},{"id":"W2309463541","doi":"10.1149/ma2012-02/5/327","title":"Substation Installations of Electrovaya's MWh-Scale Lithium-Ion SuperPolymer Batteries for Smart Grid Applications","year":2012,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Electrovaya (Canada)","funders":"","keywords":"Smart grid; Lithium (medication); Scale (ratio); Grid; Computer science; Electrical engineering; Environmental science; Automotive engineering; Engineering; Physics; Geology; Medicine; Internal medicine","score_opus":0.016431012160701707,"score_gpt":0.26466093504232485,"score_spread":0.24822992288162316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2309463541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812245,0.000045857316,0.004598926,0.00012704526,0.00004487071,0.000075269454,0.0005936543,0.0016036412,0.011686287],"genre_scores_gemma":[0.9942093,0.000030995816,0.0007576174,0.000008520769,0.0000063107814,0.000018407232,0.00021528189,0.00003110995,0.0047224523],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982834,0.000040071944,0.000007822347,0.000034051845,0.00005662416,0.000033061704],"domain_scores_gemma":[0.9997036,0.000064978776,0.00004497138,0.00006969065,0.000067751775,0.000048944865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014839464,0.00025901967,0.0002192787,0.0003183268,0.00080047135,0.0003418051,0.0003233295,0.00034809683,0.009635199],"category_scores_gemma":[0.0003920855,0.00014513683,0.00019461857,0.00035683674,0.00024006606,0.0006660298,0.00046237148,0.00039544926,0.001497143],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046624956,0.00090332783,0.12526599,0.0005090932,0.0001786034,0.0045749033,0.0018059441,0.014220161,0.50558335,0.0025248239,0.02403491,0.31573638],"study_design_scores_gemma":[0.000546173,0.005704733,0.41220516,0.00009918186,0.00032023335,0.0029052934,0.0023971908,0.037580777,0.441396,0.0012226978,0.09552494,0.000097717304],"about_ca_topic_score_codex":0.002224842,"about_ca_topic_score_gemma":0.004552268,"teacher_disagreement_score":0.009635199,"about_ca_system_score_codex":0.00048215225,"about_ca_system_score_gemma":0.00038773275,"threshold_uncertainty_score":0.032233},"labels":[],"label_agreement":null},{"id":"W2309665897","doi":"10.1021/jp508912z","title":"Determination of the Time Dependent Parasitic Heat Flow in Lithium Ion Cells Using Isothermal Microcalorimetry","year":2014,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Dalhousie University; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Isothermal microcalorimetry; Isothermal process; Lithium (medication); Electrolyte; Thermodynamics; Materials science; Chemistry; Analytical Chemistry (journal); Organic chemistry; Physical chemistry; Electrode; Enthalpy; Physics","score_opus":0.007632922020022367,"score_gpt":0.2455562619627095,"score_spread":0.23792333994268713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2309665897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9634354,0.00069191196,0.033402946,0.0000811129,0.000031980533,0.00009677337,0.00036973445,0.000460224,0.0014299736],"genre_scores_gemma":[0.98702514,0.00058440404,0.011103057,0.000022756956,0.0000107835085,0.00010252851,0.0001149414,0.000044659075,0.0009917706],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995685,0.000053641797,0.000023558821,0.00008351459,0.00021037356,0.00006026786],"domain_scores_gemma":[0.9994148,0.00031409896,0.00006366421,0.00006065399,0.00011041052,0.000036450383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059740624,0.00033975043,0.0005459662,0.00061080273,0.00032405718,0.000517162,0.0005657066,0.00041874737,0.0006091348],"category_scores_gemma":[0.0015428454,0.00029314443,0.0002003513,0.000525378,0.00076514826,0.000491493,0.00032229422,0.0007676727,0.00017485033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005679099,0.00002446483,0.0008610553,0.000047843834,0.0000053499302,0.00002367577,0.00014034807,0.0006597232,0.9912162,0.00007752384,0.000039095543,0.0068479273],"study_design_scores_gemma":[0.0000029806256,0.000088636814,0.0029490518,0.000004843259,0.0000062491163,0.000030615854,0.000039659553,0.008131895,0.98838264,0.00004671028,0.00030141734,0.00001532406],"about_ca_topic_score_codex":0.0014192585,"about_ca_topic_score_gemma":0.0021823458,"teacher_disagreement_score":0.0014192585,"about_ca_system_score_codex":0.0006334819,"about_ca_system_score_gemma":0.0003143145,"threshold_uncertainty_score":0.0045962334},"labels":[],"label_agreement":null},{"id":"W2309766447","doi":"10.1016/j.icheatmasstransfer.2016.03.009","title":"Modeling and validation of temperature changes in a pouch lithium-ion battery at various discharge rates","year":2016,"lang":"en","type":"article","venue":"International Communications in Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); Materials science; Lithium (medication); Thermal; Cathode; Nuclear engineering; Lithium-ion battery; Ion; Mechanics; Pouch; Thermodynamics; Electrical engineering; Chemistry; Power (physics); Physics","score_opus":0.031005017184867555,"score_gpt":0.29902002608834916,"score_spread":0.2680150089034816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2309766447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97148985,0.00018676426,0.022177354,0.00022397714,0.000046932673,0.00004508429,0.0002334295,0.00029264187,0.0053039994],"genre_scores_gemma":[0.99810576,0.000042090775,0.0008507381,0.000011240644,0.000002281379,0.000013927654,0.000054279306,0.000013493778,0.0009061848],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998863,0.000021642827,0.0000079869105,0.000022084432,0.000040464907,0.000021606284],"domain_scores_gemma":[0.99967635,0.00016571047,0.000029776515,0.00003461879,0.00007966039,0.000013973404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030933178,0.00043374166,0.0005154654,0.00028145924,0.00050979946,0.0007713263,0.0008037745,0.0010503833,0.0010368743],"category_scores_gemma":[0.00083238597,0.00026776682,0.00063436787,0.00027271514,0.00048658298,0.00070653384,0.00032633715,0.00053060614,0.00019762188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001756052,0.000088836874,0.0024456459,0.00006619681,0.000015801574,0.000119450306,0.000077745295,0.9680434,0.023711491,0.00052620884,0.00019769862,0.004531936],"study_design_scores_gemma":[0.000008450087,0.000060135942,0.00051553734,0.0000024527171,0.00000612209,0.000010441772,0.00001577405,0.99094874,0.008190486,0.00009299188,0.00014268719,0.0000062130807],"about_ca_topic_score_codex":0.010861417,"about_ca_topic_score_gemma":0.006049781,"teacher_disagreement_score":0.010861417,"about_ca_system_score_codex":0.00060587906,"about_ca_system_score_gemma":0.0006502626,"threshold_uncertainty_score":0.021596432},"labels":[],"label_agreement":null},{"id":"W2311791224","doi":"10.1109/smartgridcomm.2015.7436390","title":"Analysis of energy- and SoC-neutral contracts for frequency regulation with energy storage","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Operator (biology); Energy (signal processing); Energy storage; Computer science; Frequency regulation; Lead–acid battery; Duration (music); Lithium (medication); Reliability engineering; Engineering; Chemistry; Physics; Electric power system; Thermodynamics","score_opus":0.01937297294748257,"score_gpt":0.251866872229485,"score_spread":0.23249389928200243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2311791224","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0404696,0.0005838573,0.9349507,0.0013036678,0.000060469174,0.00016570142,0.00020776638,0.00016953128,0.022088664],"genre_scores_gemma":[0.91802365,0.0011172692,0.06897427,0.00022048464,0.000091785274,0.00030584386,0.0001893001,0.00019109728,0.010886257],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99725527,0.0011558298,0.00009440561,0.0002985633,0.00065629074,0.0005396434],"domain_scores_gemma":[0.9876913,0.009138789,0.0010294726,0.00046260047,0.001024122,0.0006538735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071231183,0.001108471,0.0013309537,0.00095940765,0.0009485815,0.0025261957,0.0019190593,0.0017240028,0.010344713],"category_scores_gemma":[0.024704942,0.00077287876,0.0010875528,0.001092023,0.0023326566,0.0044153607,0.0016563383,0.0023481224,0.00062860636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010144266,0.00005171558,0.00045839822,0.00006567857,0.000022654656,0.00007171703,0.00010963756,0.65445745,0.0006187423,0.3327094,0.0015302419,0.009802897],"study_design_scores_gemma":[0.000014250046,0.000022289452,0.00011727019,0.000018789748,0.0000070881238,0.000029024994,0.000025766247,0.9375606,0.000172389,0.06124525,0.0007760287,0.000011261432],"about_ca_topic_score_codex":0.006088472,"about_ca_topic_score_gemma":0.0031646567,"teacher_disagreement_score":0.010344713,"about_ca_system_score_codex":0.004278314,"about_ca_system_score_gemma":0.0045932946,"threshold_uncertainty_score":0.03767109},"labels":[],"label_agreement":null},{"id":"W2311803608","doi":"10.1149/ma2016-03/2/753","title":"Toward a Better Understanding on Na-Air Batteries","year":2016,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Overpotential; Battery (electricity); Lithium (medication); Nanotechnology; Chemistry; Materials science; Electrochemistry; Electrode; Power (physics); Physics; Biology","score_opus":0.05150657802881111,"score_gpt":0.26824304867992316,"score_spread":0.21673647065111204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2311803608","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0050223875,0.9185011,0.019018104,0.016246038,0.0032570814,0.000075186304,0.00032056935,0.00020334077,0.03735619],"genre_scores_gemma":[0.03022783,0.9326834,0.011458652,0.009027302,0.0035906162,0.00012691243,0.0003750421,0.00009268956,0.012417496],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993824,0.00009947903,0.000042711727,0.00012037732,0.00027876793,0.00007615663],"domain_scores_gemma":[0.99923575,0.00034490315,0.000060072347,0.00005393289,0.00025571574,0.000049604158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011528818,0.0013948579,0.0013578766,0.0013427787,0.000758648,0.0025819943,0.0021684358,0.0035556671,0.009722478],"category_scores_gemma":[0.0015490893,0.00080230145,0.0006213383,0.0015024386,0.002026359,0.01343867,0.0016833496,0.007037233,0.004789677],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022359096,0.00057044957,0.0011434976,0.019692535,0.000106958534,0.0012275352,0.0015352264,0.0057622977,0.063276626,0.4030779,0.08485826,0.4185251],"study_design_scores_gemma":[0.000014310276,0.00021244663,0.00036107696,0.002989449,0.00003272077,0.0005686879,0.0004907486,0.0028708882,0.016926602,0.097456925,0.8780048,0.00007125517],"about_ca_topic_score_codex":0.0013024793,"about_ca_topic_score_gemma":0.001387921,"teacher_disagreement_score":0.009722478,"about_ca_system_score_codex":0.0015659052,"about_ca_system_score_gemma":0.0009170784,"threshold_uncertainty_score":0.032524884},"labels":[],"label_agreement":null},{"id":"W2314751172","doi":"10.1149/ma2016-01/5/466","title":"(Invited) Investigations into the Chemical Role of Additives in Li-Ion Cells","year":2016,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Electrolyte; Ethylene carbonate; Chemistry; Lithium (medication); X-ray photoelectron spectroscopy; Chemical engineering; Solvation; Electrochemistry; Solvent; Ion; Electrode; Organic chemistry; Physical chemistry","score_opus":0.011122673076723107,"score_gpt":0.2369011269587512,"score_spread":0.2257784538820281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2314751172","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04097219,0.293716,0.01474949,0.037168466,0.11255107,0.00036970852,0.0020779811,0.0007924444,0.49760264],"genre_scores_gemma":[0.09506341,0.18503428,0.008225157,0.010886265,0.031936932,0.0003978221,0.0020188973,0.0004132421,0.6660241],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996166,0.000028345377,0.000016050411,0.000100365134,0.00017389748,0.000064709566],"domain_scores_gemma":[0.99964523,0.0000797782,0.000017618384,0.000012389238,0.00019440133,0.000050607585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005610751,0.0006677929,0.00047284746,0.000673237,0.0007128168,0.001324109,0.00096235424,0.0016434103,0.04124083],"category_scores_gemma":[0.00069685426,0.0001953725,0.00036943392,0.00075442,0.0005279155,0.0015809385,0.00074455916,0.0013204908,0.02237355],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080742245,0.00035585114,0.0011436323,0.0032543454,0.00005819862,0.0008935217,0.00043929263,0.0024090437,0.040455673,0.016444907,0.44733113,0.48640692],"study_design_scores_gemma":[0.00002956102,0.00030231074,0.0009696638,0.00019263545,0.000029453973,0.00026024878,0.00017461799,0.0008151974,0.010367227,0.0020089124,0.9848199,0.00003030429],"about_ca_topic_score_codex":0.0011015267,"about_ca_topic_score_gemma":0.001970465,"teacher_disagreement_score":0.04124083,"about_ca_system_score_codex":0.0007389273,"about_ca_system_score_gemma":0.00059507805,"threshold_uncertainty_score":0.13796437},"labels":[],"label_agreement":null},{"id":"W2317888906","doi":"10.11159/ijmem.2012.011","title":"Thermal Management Analysis of a Lithium-Ion Battery Pack using Flow Network Approach","year":2012,"lang":"en","type":"article","venue":"International Journal of Mechanical Engineering and Mechatronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Battery pack; Battery (electricity); Nuclear engineering; Coolant; Materials science; Heat transfer; Lithium-ion battery; Automotive engineering; Thermal; Power (physics); Electrical engineering; Mechanical engineering; Engineering; Mechanics; Thermodynamics; Physics","score_opus":0.01594958859771767,"score_gpt":0.25400091471890346,"score_spread":0.2380513261211858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317888906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68241066,0.00038076835,0.30529675,0.000121500816,0.000030724877,0.00010077643,0.00015342512,0.00035624937,0.0111491075],"genre_scores_gemma":[0.9912935,0.00013990987,0.0059360727,0.000008421589,0.0000035011353,0.000041697826,0.000056828092,0.00001328489,0.0025066605],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99997294,0.0000069391936,0.0000010856724,0.000005441288,0.000009498294,0.0000041083103],"domain_scores_gemma":[0.9999417,0.000026946034,0.000009129563,0.000002758245,0.000016403088,0.0000030006784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010883868,0.00026253128,0.00021696421,0.00034067107,0.00024195031,0.0002820615,0.0002719388,0.00026494495,0.001369752],"category_scores_gemma":[0.00021973811,0.00015531848,0.00024407684,0.00018646332,0.00021942887,0.0006678543,0.00014440133,0.000136678,0.00011235284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005796979,0.00003474373,0.0009885333,0.000047022346,0.000008755052,0.000046781435,0.00003485777,0.97019696,0.019421898,0.0014879068,0.00013149489,0.0075430633],"study_design_scores_gemma":[0.0000010851418,0.000012068887,0.00015475633,0.0000011482473,0.0000016254321,0.0000032311555,0.0000045230627,0.9982439,0.0013512156,0.0001384005,0.000086738844,0.0000012558176],"about_ca_topic_score_codex":0.0035967592,"about_ca_topic_score_gemma":0.0028360945,"teacher_disagreement_score":0.0035967592,"about_ca_system_score_codex":0.00047298698,"about_ca_system_score_gemma":0.00029463277,"threshold_uncertainty_score":0.0071516633},"labels":[],"label_agreement":null},{"id":"W2317982392","doi":"10.2514/6.2011-5652","title":"The Adverse Effects of Not Including Capacity Addition During LiIon Taper Charging in EPS Sizing for LEO Missions","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Sizing; Automotive engineering; Computer science; Environmental science; Reliability engineering; Engineering; Chemistry","score_opus":0.049772815708664646,"score_gpt":0.2674576796924743,"score_spread":0.21768486398380965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317982392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89938414,0.0019644578,0.05724484,0.0010139273,0.0006079999,0.0002587879,0.0005158906,0.002276744,0.036733083],"genre_scores_gemma":[0.98907787,0.00019081541,0.0076791546,0.00017062467,0.000036006837,0.00003377198,0.00012342959,0.00013269293,0.0025556667],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982284,0.0003234864,0.0002834441,0.00018518491,0.0006685327,0.0003110167],"domain_scores_gemma":[0.98958206,0.004630767,0.0012737378,0.0026144602,0.0016256125,0.00027336704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00197296,0.000582737,0.00036577706,0.00070513075,0.0011077446,0.00086830906,0.0013216654,0.0005674341,0.003684004],"category_scores_gemma":[0.007829901,0.00035875235,0.00054397027,0.0007104686,0.0008726466,0.0019347803,0.0010835547,0.0010013436,0.00076915434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005737144,0.00045774033,0.039385807,0.0016409525,0.00019619879,0.0028737567,0.0024004267,0.15553981,0.28567702,0.012840636,0.00710909,0.48614144],"study_design_scores_gemma":[0.00029977012,0.0042801998,0.072634704,0.00072548346,0.0004148957,0.0059200358,0.0025056037,0.10041854,0.6757993,0.011620098,0.12490625,0.00047511625],"about_ca_topic_score_codex":0.005837813,"about_ca_topic_score_gemma":0.011420029,"teacher_disagreement_score":0.005837813,"about_ca_system_score_codex":0.00081569044,"about_ca_system_score_gemma":0.001161873,"threshold_uncertainty_score":0.012324274},"labels":[],"label_agreement":null},{"id":"W2319481933","doi":"10.3166/ejee.16.447-463","title":"Performance analysis of different power electronics structures for electric vehicles (EVs)","year":2013,"lang":"en","type":"article","venue":"European Journal of Electrical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electronics; Automotive engineering; Power electronics; Power (physics); Electrical engineering; Engineering; Physics; Voltage","score_opus":0.007166427177485218,"score_gpt":0.21291027766464782,"score_spread":0.2057438504871626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319481933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94649154,0.0012654987,0.034426574,0.00019531032,0.00006732181,0.00004302223,0.00024357624,0.00026165484,0.017005458],"genre_scores_gemma":[0.9963536,0.0001220064,0.0011117718,0.00000895994,0.000007394951,0.0000068852573,0.00007690109,0.000015949425,0.0022965376],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971586,0.000045187793,0.000009014119,0.00004124484,0.0001270788,0.00006158446],"domain_scores_gemma":[0.99931,0.00026262228,0.00006403071,0.00004357525,0.00028613905,0.000033725177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038378887,0.00043812956,0.0004130166,0.00066690345,0.0003296473,0.00064218283,0.0006230144,0.00060748536,0.004582465],"category_scores_gemma":[0.0010019734,0.000111296664,0.0004475837,0.0004174483,0.00027356538,0.0005244794,0.00025539816,0.00026316557,0.0006848863],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002078217,0.0002964666,0.004398914,0.00048669113,0.00009593265,0.0002010734,0.00014728868,0.7665185,0.13634978,0.004775664,0.0023702981,0.08228116],"study_design_scores_gemma":[0.00003984209,0.003010838,0.007538107,0.00004685819,0.00009913258,0.00014472537,0.00020401512,0.8962771,0.08794598,0.0016148256,0.0030498288,0.000028697315],"about_ca_topic_score_codex":0.0016025496,"about_ca_topic_score_gemma":0.0014530323,"teacher_disagreement_score":0.004582465,"about_ca_system_score_codex":0.00079622184,"about_ca_system_score_gemma":0.00025167607,"threshold_uncertainty_score":0.015329897},"labels":[],"label_agreement":null},{"id":"W2320388170","doi":"10.1149/1.3414004","title":"Surface Modification and Fabrication of Li-Ion Battery Components for Plug-In Hybrid Electric Vehicle","year":2010,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"Natural Resources Canada","keywords":"Anode; Fabrication; Battery (electricity); Surface modification; Coating; Materials science; Lithium (medication); Reliability (semiconductor); Cathodic protection; Welding; Spark plug; Automotive engineering; Lithium-ion battery; Nanotechnology; Engineering; Power (physics); Mechanical engineering; Composite material; Chemistry; Electrode; Physics","score_opus":0.022015212528596808,"score_gpt":0.2645582266501916,"score_spread":0.24254301412159476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320388170","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9365367,0.0016273712,0.053474337,0.00022785517,0.00023573193,0.00010515032,0.00018951025,0.0004185458,0.007184847],"genre_scores_gemma":[0.94803554,0.0011488006,0.043210037,0.00006670007,0.000029317718,0.00007053833,0.00032635432,0.000110030676,0.0070026987],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990654,0.000007499047,0.000004618245,0.000014054426,0.000054826985,0.000012465361],"domain_scores_gemma":[0.9999305,0.000009622139,0.0000123841855,0.000015667696,0.000025984235,0.000005835866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012256608,0.00025914045,0.0001635726,0.00017432612,0.00017958943,0.00028935942,0.00035235932,0.00031848042,0.0007181796],"category_scores_gemma":[0.00019999724,0.00017460376,0.00020880882,0.00012820131,0.00015127486,0.00022249715,0.00016139414,0.00028960145,0.00040082366],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001183853,0.0000105148865,0.00009718343,0.00004690891,0.0000037388006,0.000025109703,0.000024030007,0.0001891192,0.9957124,0.00011822537,0.000074054486,0.0036869526],"study_design_scores_gemma":[0.0000025646184,0.00008329727,0.0010631143,0.0000017755648,0.000005936922,0.00010173522,0.000015233522,0.0010177181,0.99423957,0.000044082008,0.003421044,0.0000039406154],"about_ca_topic_score_codex":0.00026944987,"about_ca_topic_score_gemma":0.0007644082,"teacher_disagreement_score":0.0007181796,"about_ca_system_score_codex":0.00017084036,"about_ca_system_score_gemma":0.00013790715,"threshold_uncertainty_score":0.002402544},"labels":[],"label_agreement":null},{"id":"W2323053018","doi":"10.1149/1.3684802","title":"Physics Based Modeling of a 40 Ah Li-Ion Battery for Geosynchronous Earth Orbit Satellite Applications","year":2012,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Geosynchronous orbit; Low earth orbit; Satellite; Orbit (dynamics); Battery (electricity); Ion; Electrode; Physics; Earth (classical element); Computational physics; Atomic physics; Aerospace engineering; Astronomy; Engineering; Thermodynamics","score_opus":0.025817793401027238,"score_gpt":0.2601381625453929,"score_spread":0.23432036914436566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2323053018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8093825,0.0013335394,0.12960577,0.0008103327,0.00012403933,0.00027503664,0.002051371,0.001190728,0.055226557],"genre_scores_gemma":[0.98095155,0.00065769674,0.004382544,0.000084593536,0.000024152834,0.00021323495,0.00046142482,0.00005562704,0.013169105],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992514,0.000011187319,0.0000037233688,0.000010438343,0.000039332255,0.000010253819],"domain_scores_gemma":[0.9999267,0.00003458225,0.000008461888,0.0000068603613,0.00001806446,0.0000053124204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011586839,0.0005520449,0.00048394589,0.00034026353,0.0005053701,0.00051914033,0.0011853148,0.001016661,0.00317739],"category_scores_gemma":[0.00032855984,0.0002549109,0.0006316223,0.00037979023,0.00041833363,0.00072295766,0.0002630474,0.0004625945,0.00043044979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039182818,0.000023108694,0.00040994436,0.000041410094,0.000014195963,0.00011474855,0.000042290834,0.98542166,0.0098918965,0.0014647661,0.00028080883,0.0022560298],"study_design_scores_gemma":[0.000012584244,0.00005939863,0.0005272054,0.0000039025535,0.000012510057,0.000039565715,0.000016866774,0.9953597,0.0021455574,0.00086938555,0.0009428909,0.0000104204355],"about_ca_topic_score_codex":0.012344759,"about_ca_topic_score_gemma":0.0076392596,"teacher_disagreement_score":0.012344759,"about_ca_system_score_codex":0.0008795463,"about_ca_system_score_gemma":0.0009566334,"threshold_uncertainty_score":0.024545789},"labels":[],"label_agreement":null},{"id":"W2326361411","doi":"10.1115/detc2012-70708","title":"Design of a Novel Intelligent Controller for Efficient Power Delivery in Hybrid Vehicles","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Robustness (evolution); Computer science; Controller (irrigation); Hybrid vehicle; Hybrid power; State of charge; Automotive engineering; Fuzzy logic; Control engineering; Control theory (sociology); Power (physics); Battery (electricity); Engineering; Control (management); Artificial intelligence","score_opus":0.04016775958022068,"score_gpt":0.27814850934219576,"score_spread":0.23798074976197509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2326361411","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0074239634,0.00015517804,0.98845494,0.00006825963,0.000094099065,0.000078674166,0.000016522754,0.0005112978,0.0031971054],"genre_scores_gemma":[0.7613534,0.000261413,0.23207986,0.00017892492,0.00010769699,0.00043654905,0.00006858471,0.000053330103,0.005460281],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975914,0.00001690888,0.000015623373,0.000069667134,0.00010980643,0.000028938819],"domain_scores_gemma":[0.9998394,0.00003062031,0.00002660085,0.000012145677,0.00007956489,0.000011539548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031298233,0.00052650366,0.00048877735,0.00029293378,0.00045855125,0.00062962,0.00102162,0.00062777835,0.0012756864],"category_scores_gemma":[0.0003761777,0.00026258585,0.00032242792,0.00015203505,0.00032390613,0.00038112295,0.0004568508,0.0006606102,0.00036005693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021282876,0.00023667529,0.00067838357,0.00044561608,0.00013826083,0.0004959756,0.00023689771,0.45809424,0.23284598,0.025789881,0.0036368757,0.27718845],"study_design_scores_gemma":[0.000060665152,0.00019408832,0.0002502284,0.000013105292,0.000028850965,0.00008250925,0.00001224321,0.97475445,0.017958153,0.0013170319,0.005311563,0.000017106157],"about_ca_topic_score_codex":0.0014683407,"about_ca_topic_score_gemma":0.0016892707,"teacher_disagreement_score":0.0014683407,"about_ca_system_score_codex":0.00043999872,"about_ca_system_score_gemma":0.0006465289,"threshold_uncertainty_score":0.0042675734},"labels":[],"label_agreement":null},{"id":"W2328070929","doi":"10.2514/6.2016-0865","title":"Green Aerospace Engineering: A Focus on the Technical and Economical Hurdles of Next Generation Lithium-Ion Batteries","year":2016,"lang":"en","type":"article","venue":"54th AIAA Aerospace Sciences Meeting","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Infineon Technologies (Canada)","funders":"","keywords":"Aerospace; Lithium (medication); Focus (optics); Manufacturing engineering; Process engineering; Systems engineering; Computer science; Aerospace engineering; Engineering; Physics","score_opus":0.038202145323486716,"score_gpt":0.25358072349631466,"score_spread":0.21537857817282796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328070929","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050582867,0.53315395,0.04331789,0.20025301,0.004757565,0.0000746872,0.00013967238,0.00045834476,0.16726197],"genre_scores_gemma":[0.36877915,0.4982499,0.03618927,0.031050494,0.0046875654,0.000093700226,0.00014918804,0.00030726212,0.060493425],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99857414,0.00019970497,0.000044613185,0.00012634165,0.0008998585,0.0001553574],"domain_scores_gemma":[0.99883384,0.00047766275,0.00008398919,0.00008415853,0.00037230868,0.00014810225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034041652,0.00042181226,0.00063310127,0.0010554267,0.0015761198,0.005164376,0.00078330585,0.0032511037,0.0040506083],"category_scores_gemma":[0.0017445625,0.00023800717,0.0003677131,0.001019632,0.0029792916,0.008102429,0.0028703683,0.0040266984,0.0012883273],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011787248,0.00013341896,0.0010202127,0.0016746628,0.000022661383,0.00058411516,0.0011649377,0.0032136159,0.017977731,0.6210994,0.042918738,0.31007263],"study_design_scores_gemma":[0.000013639935,0.00022122337,0.0008093412,0.0009810827,0.0000135181035,0.00081379066,0.0015241153,0.002260618,0.009532896,0.17821854,0.8055592,0.000052013926],"about_ca_topic_score_codex":0.00094478694,"about_ca_topic_score_gemma":0.0030130867,"teacher_disagreement_score":0.005164376,"about_ca_system_score_codex":0.0021521766,"about_ca_system_score_gemma":0.0025135572,"threshold_uncertainty_score":0.018003166},"labels":[],"label_agreement":null},{"id":"W2328102190","doi":"10.1109/tste.2014.2337053","title":"Stability Analysis of Converter-Connected Battery Energy Storage Systems in the Grid","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Internal resistance; Battery (electricity); Energy storage; Electrical engineering; Engineering; State of charge; Grid; Voltage; Power (physics); Electric power system; Automotive engineering; Control theory (sociology); Computer science; Physics","score_opus":0.010109795646088245,"score_gpt":0.22032252997895493,"score_spread":0.2102127343328667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328102190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57263213,0.00093557517,0.40405482,0.00031199536,0.000035078214,0.0000717871,0.00019601344,0.00046830537,0.02129435],"genre_scores_gemma":[0.99741614,0.00012654839,0.0014538511,0.000007809833,0.0000051675006,0.000011466875,0.000024094252,0.000013241637,0.00094169134],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998765,0.000044466287,0.0000059421686,0.000019038582,0.000041066945,0.000012937948],"domain_scores_gemma":[0.9996625,0.00019026714,0.000042353604,0.000018054296,0.000078721176,0.0000080338405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003163184,0.00026388638,0.00036758254,0.0003378699,0.00030622672,0.00063858373,0.00028916693,0.00024717703,0.0014269522],"category_scores_gemma":[0.0009888744,0.0001314538,0.00027197148,0.00024645787,0.0004636154,0.0004240549,0.00026299575,0.00027176543,0.00020059654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001966026,0.000029644672,0.003180299,0.00009895034,0.00006094967,0.0002377574,0.0001492996,0.95455396,0.011479974,0.012812773,0.0004949506,0.016704863],"study_design_scores_gemma":[0.000004083449,0.000016733647,0.00044708105,0.0000036880547,0.0000045952143,0.000017070543,0.000016039226,0.9966828,0.00059970754,0.0020950802,0.000110487905,0.000002587778],"about_ca_topic_score_codex":0.0042958357,"about_ca_topic_score_gemma":0.0019890754,"teacher_disagreement_score":0.0042958357,"about_ca_system_score_codex":0.00046683248,"about_ca_system_score_gemma":0.00034217126,"threshold_uncertainty_score":0.008541644},"labels":[],"label_agreement":null},{"id":"W2329020120","doi":"10.1149/05848.0145ecst","title":"Thermal Conductivity, Heat Sources and Temperature Profiles of Li-Ion Batteries","year":2014,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Thermal conductivity; Materials science; Electrode; Anode; Electrolyte; Thermal conduction; Conductivity; Thermal resistance; Analytical Chemistry (journal); Atmospheric temperature range; Thermal; Composite material; Chemistry; Thermodynamics; Chromatography","score_opus":0.011417441279448482,"score_gpt":0.23362728812373568,"score_spread":0.22220984684428718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329020120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98068625,0.0026059002,0.012859994,0.00007072177,0.000021668791,0.000024674568,0.0007386511,0.00026275322,0.0027293966],"genre_scores_gemma":[0.99558,0.00070420874,0.0018292551,0.000011666083,0.000008153167,0.00002678491,0.00048828335,0.00006232937,0.0012892487],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999742,0.000026826154,0.000020236434,0.000048960053,0.00013522223,0.000026684287],"domain_scores_gemma":[0.99967086,0.00008688073,0.000046794943,0.00003060642,0.00014996075,0.000014963696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025659412,0.0003612033,0.00034582228,0.00061183603,0.00017063034,0.0005107669,0.0003402045,0.00034239495,0.0013308707],"category_scores_gemma":[0.0007128182,0.00021641236,0.0002126062,0.00065446424,0.00024201306,0.0008167186,0.00021525173,0.00026779133,0.0005362554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030951606,0.000036999616,0.0034428267,0.00020807153,0.000020947627,0.00014306972,0.00018466738,0.00359252,0.97718924,0.00029305482,0.00021330219,0.014365776],"study_design_scores_gemma":[0.000006201822,0.00018242789,0.008760025,0.000014953728,0.00001800873,0.00027834869,0.00009760955,0.009451543,0.9793966,0.00024987163,0.0015245087,0.000019953453],"about_ca_topic_score_codex":0.00020458394,"about_ca_topic_score_gemma":0.00021226854,"teacher_disagreement_score":0.0013308707,"about_ca_system_score_codex":0.00027506897,"about_ca_system_score_gemma":0.00010473157,"threshold_uncertainty_score":0.0044522285},"labels":[],"label_agreement":null},{"id":"W2329445690","doi":"10.1115/dscc2015-9723","title":"Battery Thermal Management of Electric Vehicles: An Optimal Control Approach","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Automotive engineering; PID controller; Controller (irrigation); Range (aeronautics); Computer science; Electric vehicle; Optimal control; Power (physics); Driving range; Energy management; Control theory (sociology); Control (management); Control engineering; Temperature control; Engineering; Energy (signal processing); Mathematical optimization; Mathematics","score_opus":0.024746719281975228,"score_gpt":0.25571098988625873,"score_spread":0.2309642706042835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329445690","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009603535,0.0027047668,0.97241795,0.0005568429,0.00014718878,0.00006971023,0.00002642049,0.00008931172,0.0143842995],"genre_scores_gemma":[0.9066514,0.00480074,0.07680969,0.00029830186,0.00031594274,0.00030410674,0.00006257532,0.000054149557,0.010703073],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996867,0.00010581364,0.000015174625,0.00006207774,0.00009761508,0.00003262973],"domain_scores_gemma":[0.9997874,0.000108068954,0.000028570064,0.0000070588526,0.000060362916,0.000008578289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062025496,0.00094713527,0.00091747515,0.00051553047,0.00032314647,0.0015166431,0.0007514152,0.0009069887,0.0017457795],"category_scores_gemma":[0.0010538027,0.00037182882,0.0005981452,0.0004332152,0.0007035355,0.000773204,0.00067841605,0.00090873643,0.00022215249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028905442,0.000051462634,0.00015422654,0.00014580153,0.000028372215,0.000040085713,0.000036743695,0.96193486,0.0014155073,0.014179482,0.0005780494,0.021406544],"study_design_scores_gemma":[0.0000084448375,0.000050885676,0.000080332866,0.0000149980315,0.000010807108,0.000009280909,0.000018637567,0.9928901,0.0003040791,0.0056030327,0.001003043,0.0000062897384],"about_ca_topic_score_codex":0.004842651,"about_ca_topic_score_gemma":0.0024281219,"teacher_disagreement_score":0.004842651,"about_ca_system_score_codex":0.00065244175,"about_ca_system_score_gemma":0.0009025713,"threshold_uncertainty_score":0.009628892},"labels":[],"label_agreement":null},{"id":"W2331998109","doi":"10.1149/1.2992489","title":"Li/CFx Medical Battery Development","year":2008,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"EaglePicher (Canada)","funders":"","keywords":"Battery (electricity); Isothermal microcalorimetry; Dielectric spectroscopy; Electrical impedance; Energy density; Power density; Power (physics); Electrical engineering; Computer science; Materials science; Engineering physics; Engineering; Chemistry; Physics; Thermodynamics; Physical chemistry; Electrode","score_opus":0.02309279825973448,"score_gpt":0.24760559254042588,"score_spread":0.2245127942806914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331998109","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26650143,0.04172103,0.27825344,0.0050841477,0.0031309908,0.017527835,0.023356315,0.0163065,0.3481184],"genre_scores_gemma":[0.3145962,0.023178374,0.2011093,0.0020609756,0.00055825716,0.008335489,0.022450145,0.0015661339,0.42614508],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993563,0.000041266787,0.00004435614,0.000098486424,0.00040010782,0.0000594756],"domain_scores_gemma":[0.99958414,0.000028453385,0.0000262822,0.00005990738,0.00024030166,0.000060859085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010610233,0.0009219276,0.0006209728,0.0014117816,0.00070259743,0.0007240905,0.0014232032,0.0009380226,0.030817593],"category_scores_gemma":[0.0008732895,0.00042022794,0.0004016652,0.00053196657,0.00027273205,0.0007290231,0.0006686899,0.0008989045,0.014905838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011682609,0.00035771308,0.0013371307,0.0015830171,0.000029770405,0.001276258,0.00038318426,0.00068795204,0.667527,0.006922995,0.044840995,0.2738857],"study_design_scores_gemma":[0.00025060054,0.0013898916,0.002010002,0.00020234783,0.0000514544,0.006435519,0.00006154839,0.0018004675,0.3694511,0.0006948517,0.61760074,0.000051604628],"about_ca_topic_score_codex":0.00062993384,"about_ca_topic_score_gemma":0.0012416478,"teacher_disagreement_score":0.030817593,"about_ca_system_score_codex":0.00045471516,"about_ca_system_score_gemma":0.0010655995,"threshold_uncertainty_score":0.103095114},"labels":[],"label_agreement":null},{"id":"W2332043682","doi":"10.2514/6.2009-4614","title":"Advanced EPS Component Models for Accurate Satellite EPS Simulation","year":2009,"lang":"en","type":"article","venue":"7th International Energy Conversion Engineering Conference","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Component (thermodynamics); Battery (electricity); Satellite; Photovoltaic system; Aerospace; Computer science; Reliability engineering; Sizing; State of charge; Voltage; Power (physics); Transient (computer programming); Automotive engineering; Engineering; Simulation; Aerospace engineering; Electrical engineering","score_opus":0.027945233098014433,"score_gpt":0.27082171697783164,"score_spread":0.2428764838798172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2332043682","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031806722,0.00045715307,0.9016663,0.00030581612,0.00021110462,0.00021721005,0.0035010222,0.0055084378,0.056326173],"genre_scores_gemma":[0.6218407,0.0015465189,0.31469372,0.00023120073,0.00010616976,0.0012954863,0.008052751,0.0024369096,0.049796566],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997154,0.00004682466,0.000012420808,0.00002212927,0.00016926847,0.00003406862],"domain_scores_gemma":[0.9994512,0.00015633603,0.000037581278,0.00007858424,0.00025134822,0.00002487892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035962742,0.0008665592,0.00067503535,0.00067831686,0.0004526581,0.0009874273,0.0014084405,0.0010234065,0.012410149],"category_scores_gemma":[0.0016000546,0.00059041183,0.0010715291,0.0008535197,0.00026748615,0.0011778068,0.0006922246,0.0013140849,0.0030045344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017791166,0.000013531888,0.00037505434,0.000045530094,0.0000098504715,0.000048132675,0.000027576869,0.9770429,0.0010901877,0.009353536,0.0036189426,0.008357006],"study_design_scores_gemma":[0.0000067382784,0.0000075193943,0.00009424848,0.0000097469165,0.0000039641322,0.000014337713,0.000005958329,0.9912299,0.00043481358,0.0020559586,0.0061323456,0.0000045730994],"about_ca_topic_score_codex":0.012463855,"about_ca_topic_score_gemma":0.009295067,"teacher_disagreement_score":0.012463855,"about_ca_system_score_codex":0.00094615703,"about_ca_system_score_gemma":0.0011816123,"threshold_uncertainty_score":0.041516006},"labels":[],"label_agreement":null},{"id":"W2334134865","doi":"10.3390/wevj3020289","title":"Experimental Validation of a Battery Dynamic Model for EV Applications","year":2009,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1185,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Battery (electricity); Automotive engineering; Computer science; Power (physics); State of charge; Simulation; Software; Fuel cells; Dynamic simulation; Engineering","score_opus":0.014285836733840417,"score_gpt":0.2924425065383199,"score_spread":0.27815666980447945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2334134865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74672735,0.0006547326,0.22635557,0.00037614643,0.0004184344,0.0006664812,0.0049833213,0.0032289734,0.016588867],"genre_scores_gemma":[0.9794337,0.0002750795,0.012899809,0.000047644546,0.000015674297,0.0004307482,0.0018522125,0.00012205416,0.004923103],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993548,0.00009277207,0.00006473595,0.00009145841,0.000339552,0.000056765886],"domain_scores_gemma":[0.99904186,0.00018422441,0.00004449451,0.00023490458,0.0004713894,0.000023060742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008427688,0.0007660259,0.00059546524,0.00050772727,0.00040216692,0.00056455226,0.0014010705,0.0009537962,0.003663512],"category_scores_gemma":[0.0018094564,0.00022473457,0.00041426596,0.00046131114,0.00024681457,0.0010569717,0.00060142565,0.0005289231,0.0014221836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012566752,0.0014211911,0.008857787,0.0017336577,0.00011776679,0.0006272357,0.0005427674,0.2252704,0.640168,0.0034414353,0.0065032877,0.110059835],"study_design_scores_gemma":[0.00020979077,0.0033346084,0.006669036,0.000099216544,0.0000925503,0.0004574576,0.00028710408,0.31887832,0.64159113,0.0012069414,0.02708347,0.000090410176],"about_ca_topic_score_codex":0.0013093288,"about_ca_topic_score_gemma":0.0014397743,"teacher_disagreement_score":0.003663512,"about_ca_system_score_codex":0.0003930231,"about_ca_system_score_gemma":0.00036935223,"threshold_uncertainty_score":0.012255669},"labels":[],"label_agreement":null},{"id":"W2335825075","doi":"10.4271/2017-01-1258","title":"Extended Range Electric Vehicle Powertrain Simulation, and Comparison with Consideration of Fuel Cell and Metal-Air Battery","year":2017,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Powertrain; Automotive engineering; Battery (electricity); Range (aeronautics); Fuel cells; Electric vehicle; Battery electric vehicle; Driving range; Computer science; Environmental science; Engineering; Aerospace engineering; Power (physics); Torque; Physics","score_opus":0.01822280608842615,"score_gpt":0.27914390801314415,"score_spread":0.260921101924718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335825075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8664045,0.0006264085,0.05133387,0.0002899868,0.0001149383,0.00021248467,0.0027005302,0.0010449416,0.07727233],"genre_scores_gemma":[0.98978007,0.00020127717,0.004170361,0.000018603161,0.000008024373,0.00008449686,0.0007467899,0.00005339844,0.004936983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991703,0.000015105559,0.0000057899315,0.000016272492,0.000032894106,0.0000128813945],"domain_scores_gemma":[0.9997923,0.000086693784,0.000012149623,0.000016762786,0.0000832269,0.00000887547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001874123,0.00042164788,0.0003874041,0.00049249583,0.0002405112,0.00053053,0.00055991503,0.00036933145,0.0037698578],"category_scores_gemma":[0.0005874005,0.00014603973,0.00053622935,0.0005350477,0.00013176288,0.0006162437,0.00025442892,0.00034804922,0.0004193064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008240964,0.00006304956,0.0017360216,0.000083995204,0.000015326319,0.0000770446,0.00003234381,0.9867209,0.0013346435,0.00072041136,0.0005151622,0.008618623],"study_design_scores_gemma":[0.000009549393,0.00006673934,0.00081683684,0.000005298681,0.000009418215,0.000013399776,0.000040316027,0.99670345,0.0012520585,0.00018003216,0.0008980952,0.000004781648],"about_ca_topic_score_codex":0.02211714,"about_ca_topic_score_gemma":0.013750189,"teacher_disagreement_score":0.02211714,"about_ca_system_score_codex":0.00041887892,"about_ca_system_score_gemma":0.00038094746,"threshold_uncertainty_score":0.043976784},"labels":[],"label_agreement":null},{"id":"W2335915209","doi":"","title":"Environmentally Sound Management of End-of-Life Batteries from Electric-Drive Vehicles in North America","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Battery (electricity); Engineering; Electrical engineering; Power (physics)","score_opus":0.020883059424483402,"score_gpt":0.24406945813110917,"score_spread":0.22318639870662577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2335915209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70499426,0.03120594,0.05463248,0.0039998023,0.00046815837,0.00046049038,0.0017535585,0.0015338009,0.20095153],"genre_scores_gemma":[0.89091426,0.02018018,0.032239396,0.00094147754,0.000054496642,0.00024288517,0.0022596237,0.00018422355,0.052983567],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99942183,0.000056805606,0.000032944732,0.00008811979,0.0003367208,0.000063605665],"domain_scores_gemma":[0.99953413,0.000025865715,0.000029826188,0.000021071215,0.00036205674,0.000027100394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005832899,0.00043497098,0.0002880775,0.0010287218,0.0013540856,0.0012632717,0.0009470631,0.0004479034,0.0029594768],"category_scores_gemma":[0.00044428912,0.00023141531,0.00026611506,0.0010193086,0.00036658204,0.0014381723,0.0010791019,0.00033947034,0.0011012569],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035343002,0.00035498053,0.042609975,0.0015388456,0.00008589095,0.0020629186,0.0037658096,0.009709057,0.14140773,0.009326501,0.03915889,0.74962604],"study_design_scores_gemma":[0.00003401488,0.0004872365,0.0440503,0.00090030045,0.00014510295,0.0019064241,0.010344119,0.011590737,0.20756368,0.0038881889,0.7189383,0.00015158979],"about_ca_topic_score_codex":0.03490866,"about_ca_topic_score_gemma":0.081117705,"teacher_disagreement_score":0.03490866,"about_ca_system_score_codex":0.0019923826,"about_ca_system_score_gemma":0.002307878,"threshold_uncertainty_score":0.06941092},"labels":[],"label_agreement":null},{"id":"W2336151274","doi":"10.1149/ma2016-01/4/426","title":"Population Balance Model of Lithium Ion Batteries","year":2016,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Particle (ecology); Electrolyte; Battery (electricity); Materials science; Electrode; Population; Lithium (medication); Lithium-ion battery; Crystallite; Fade; Interphase; Dissolution; Chemistry; Power (physics); Thermodynamics; Metallurgy; Physics; Physical chemistry","score_opus":0.021034965045346393,"score_gpt":0.25749351400459053,"score_spread":0.23645854895924415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2336151274","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08201315,0.0015971556,0.8641985,0.0034843027,0.00036504434,0.00022895494,0.0018594431,0.0004330639,0.045820344],"genre_scores_gemma":[0.8808812,0.0020828266,0.038634144,0.00085818203,0.00036870406,0.00094353134,0.0014054365,0.00019902084,0.074626856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950516,0.0001419792,0.00002284509,0.00010082562,0.00014044184,0.00008863893],"domain_scores_gemma":[0.99878603,0.0006099875,0.00014309348,0.000048113776,0.0003091173,0.00010365692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096457335,0.0010528227,0.0015148895,0.0010087009,0.00093079044,0.001680596,0.0033210167,0.0023326334,0.007464882],"category_scores_gemma":[0.0030586498,0.00049217744,0.0012560633,0.0011232744,0.0014062056,0.0026082017,0.0013040339,0.001521365,0.0011903992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029785317,0.000041245763,0.00088793127,0.00005272049,0.0000436314,0.0001687804,0.000100967896,0.89071757,0.0008849906,0.10226584,0.0017635011,0.0030430348],"study_design_scores_gemma":[0.00000691994,0.000008890303,0.00008096023,0.0000028693612,0.000006083,0.000013069646,0.00000885898,0.98907965,0.000042663487,0.01026714,0.0004761461,0.0000067618193],"about_ca_topic_score_codex":0.018769974,"about_ca_topic_score_gemma":0.0063893464,"teacher_disagreement_score":0.018769974,"about_ca_system_score_codex":0.0018770848,"about_ca_system_score_gemma":0.0013472514,"threshold_uncertainty_score":0.03732145},"labels":[],"label_agreement":null},{"id":"W2336540260","doi":"10.1109/tec.2016.2553700","title":"Thermal Management of a Hybrid Electric Vehicle in Cold Weather","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydrogenics (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Automotive engineering; Electric vehicle; Battery pack; Energy management; Computer science; Work (physics); Process (computing); Grid; Automotive battery; Power (physics); Environmental science; Energy (signal processing); Electrical engineering; Engineering; Mechanical engineering","score_opus":0.007896163053823166,"score_gpt":0.20787137498213892,"score_spread":0.19997521192831574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2336540260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6309189,0.00046810732,0.3385504,0.00026484093,0.00008301389,0.0000984379,0.00011373457,0.0003985528,0.029104002],"genre_scores_gemma":[0.99518883,0.000045836972,0.0021034866,0.000014723154,0.000004736735,0.000015610527,0.000014079297,0.000007498446,0.0026052915],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999175,0.000018172654,0.0000028182544,0.000018037972,0.000015847867,0.000027565153],"domain_scores_gemma":[0.9999341,0.000020424919,0.0000116336405,0.0000044373637,0.000017098648,0.000012351533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017436585,0.00043557162,0.00043797374,0.0002169487,0.00046436087,0.0007411873,0.00035313127,0.0004221232,0.0020692723],"category_scores_gemma":[0.00016422506,0.00018724886,0.00027983132,0.00013993999,0.00034176666,0.00047465018,0.0004594942,0.0002449179,0.0002826594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013876669,0.00003737,0.0011307262,0.00003660127,0.000020339294,0.00018892763,0.000052319258,0.97252095,0.012376159,0.001383987,0.0002763888,0.0118374],"study_design_scores_gemma":[0.000013341048,0.00013686596,0.0006148739,0.000004480025,0.0000137774205,0.00003298743,0.000074960466,0.9950074,0.0025336908,0.0008182833,0.0007408383,0.000008492234],"about_ca_topic_score_codex":0.0038346467,"about_ca_topic_score_gemma":0.0037207452,"teacher_disagreement_score":0.0038346467,"about_ca_system_score_codex":0.00039141683,"about_ca_system_score_gemma":0.0003030618,"threshold_uncertainty_score":0.007624626},"labels":[],"label_agreement":null},{"id":"W2337741781","doi":"10.1016/j.jpowsour.2016.04.029","title":"Long-term assessment of economic plug-in hybrid electric vehicle battery lifetime degradation management through near optimal fuel cell load sharing","year":2016,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Hydro-Québec; Université du Québec à Trois-Rivières","keywords":"Energy management; Battery (electricity); Automotive engineering; Electric vehicle; Plug-in; Degradation (telecommunications); Hybrid vehicle; Work (physics); Process (computing); Dynamic programming; Computer science; Engineering; Energy (signal processing); Electrical engineering; Power (physics); Mechanical engineering","score_opus":0.010608884943071365,"score_gpt":0.2662240280071564,"score_spread":0.255615143064085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2337741781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996536,0.000085682565,0.0021402766,0.000057166562,0.000010570557,0.0000152514895,0.00020155626,0.000027482492,0.0009260215],"genre_scores_gemma":[0.99945503,0.000014703796,0.00016422624,0.000003832555,0.0000014775802,0.000004174212,0.00006540803,0.000002790012,0.00028850077],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973875,0.000058890262,0.000012436698,0.000050916646,0.00007545631,0.00006365558],"domain_scores_gemma":[0.99901843,0.0003805973,0.00012819038,0.0000710563,0.00031827978,0.0000834325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010646924,0.00047754194,0.0005304688,0.00037984052,0.0004168011,0.0007279654,0.0007022959,0.0008318829,0.0010367824],"category_scores_gemma":[0.0016668799,0.0001893946,0.0003594425,0.0003844603,0.0004515333,0.0011937722,0.00045598438,0.00044756473,0.0001966833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033187477,0.00068092614,0.022059483,0.00011028426,0.00012470972,0.00039068097,0.00007167886,0.92238283,0.026025647,0.001033986,0.0006337796,0.023167301],"study_design_scores_gemma":[0.00008057525,0.0020090295,0.03286981,0.00001325225,0.00013541616,0.000130994,0.00021833072,0.94244355,0.020208789,0.001155515,0.00069418194,0.000040575447],"about_ca_topic_score_codex":0.0054279757,"about_ca_topic_score_gemma":0.0063275243,"teacher_disagreement_score":0.0054279757,"about_ca_system_score_codex":0.0011344866,"about_ca_system_score_gemma":0.0005044097,"threshold_uncertainty_score":0.010792792},"labels":[],"label_agreement":null},{"id":"W2338420417","doi":"","title":"Wind-Diesel hybrid system: energy storage system selection method","year":2012,"lang":"en","type":"article","venue":"Constellation (Université du Québec à Chicoutimi)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Engineering; Environmental economics; Forestry; Geography; Economics","score_opus":0.010272286136083891,"score_gpt":0.20415573970881937,"score_spread":0.19388345357273548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338420417","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11007031,0.001714129,0.8560644,0.00030326037,0.00013118064,0.00049671915,0.00031797908,0.0013706886,0.029531386],"genre_scores_gemma":[0.9364508,0.0004295997,0.050570518,0.00006003454,0.000054095563,0.00033750775,0.0002165472,0.000039142567,0.011841814],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989617,0.000030758147,0.0000060601915,0.000020234014,0.000033996203,0.000012775253],"domain_scores_gemma":[0.99993634,0.000017838569,0.000010254335,0.0000031357756,0.000026456079,0.000005939074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023928158,0.00056333694,0.0005692841,0.0003021288,0.0004081262,0.0006918309,0.000648195,0.00038054204,0.0054842867],"category_scores_gemma":[0.0001663938,0.00018999566,0.00024506554,0.00039455833,0.00015992642,0.00032426702,0.00022631284,0.0002128965,0.00071735267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039301516,0.00016455795,0.0014682256,0.00034080292,0.00011315436,0.00026948832,0.000084260166,0.6983337,0.01620135,0.0057399077,0.0044383956,0.27245322],"study_design_scores_gemma":[0.000054617925,0.00015451417,0.00056123215,0.000013447904,0.000030159059,0.0000794661,0.000014824598,0.9936393,0.0021104112,0.0007603398,0.002572352,0.000009440368],"about_ca_topic_score_codex":0.0032573333,"about_ca_topic_score_gemma":0.0068966364,"teacher_disagreement_score":0.0054842867,"about_ca_system_score_codex":0.0003893538,"about_ca_system_score_gemma":0.00042647385,"threshold_uncertainty_score":0.018346727},"labels":[],"label_agreement":null},{"id":"W2339748621","doi":"10.1149/ma2014-04/4/703","title":"A Systematic and Comparative Study of Electrolyte Additives on LiCoO<sub>2</sub>/Graphite and Li[Ni<sub>1/3</sub>Mn<sub>1/3</sub>Co<sub>1/3</sub>]O<sub>2</sub>/Graphite Pouch Cells","year":2014,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Ethylene carbonate; Graphite; Electrolyte; Dimethyl carbonate; Propylene carbonate; Materials science; Lithium (medication); Diethyl carbonate; Faraday efficiency; Carbonate; Inorganic chemistry; Chemical engineering; Nuclear chemistry; Chemistry; Organic chemistry; Metallurgy; Catalysis; Electrode","score_opus":0.013699630278830307,"score_gpt":0.2420041366519703,"score_spread":0.22830450637313998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339748621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95024025,0.0368555,0.0035286532,0.000081149694,0.000089305955,0.0003473504,0.0010683795,0.00023139741,0.007558092],"genre_scores_gemma":[0.9463075,0.032569263,0.011897373,0.00012552446,0.000062780215,0.00017879985,0.0012961128,0.00009240723,0.0074702394],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994473,0.00008871109,0.000075228985,0.00009803245,0.00025034178,0.000040472532],"domain_scores_gemma":[0.9989215,0.00020662809,0.00017588586,0.00012497371,0.00051821035,0.0000528287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006184908,0.00050329743,0.00063645624,0.0015070847,0.00049223064,0.0005149134,0.00050898036,0.0005632924,0.0011894816],"category_scores_gemma":[0.0010481047,0.00022636465,0.00032360488,0.0014878864,0.0003279449,0.00053758913,0.00034197036,0.00023138375,0.00032710275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042239163,0.00013107751,0.0028002327,0.002201303,0.000052506835,0.00014604037,0.00013852694,0.0005321854,0.92764324,0.000132696,0.0002554742,0.06554433],"study_design_scores_gemma":[0.000008758342,0.0013793071,0.017135285,0.00017459945,0.00019966162,0.0003003726,0.00012416937,0.0005376052,0.96568674,0.000034653396,0.014395461,0.000023451508],"about_ca_topic_score_codex":0.0010268571,"about_ca_topic_score_gemma":0.0026441303,"teacher_disagreement_score":0.0015070847,"about_ca_system_score_codex":0.00034289097,"about_ca_system_score_gemma":0.00042246014,"threshold_uncertainty_score":0.0039791465},"labels":[],"label_agreement":null},{"id":"W2340903207","doi":"10.1016/j.apenergy.2016.04.016","title":"Simulation and experimental study on lithium ion battery short circuit","year":2016,"lang":"en","type":"article","venue":"Applied Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":336,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermal runaway; Battery (electricity); Short circuit; Lithium-ion battery; Nuclear engineering; Thermal; Internal heating; Internal resistance; Automotive engineering; Heat generation; Materials science; Electrical engineering; Engineering; Voltage; Mechanical engineering; Thermodynamics; Physics","score_opus":0.027101662029721165,"score_gpt":0.2796652927135681,"score_spread":0.25256363068384696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340903207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97208124,0.00020673533,0.012805329,0.00018420682,0.00008951422,0.000043326392,0.00048814484,0.0005062464,0.013595408],"genre_scores_gemma":[0.99741864,0.000049009494,0.0008138806,0.00001128496,0.0000058580454,0.000015362277,0.00015945952,0.000014786471,0.0015116833],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984586,0.000028767969,0.0000113391125,0.00002309643,0.00006309316,0.000027884413],"domain_scores_gemma":[0.99920267,0.00042671524,0.000043067143,0.00006401925,0.00024013642,0.000023376244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028913,0.0003843441,0.00045060113,0.00046476716,0.00039986934,0.00038326767,0.0007320564,0.00065332063,0.004587997],"category_scores_gemma":[0.00088537455,0.00015440166,0.00047110455,0.0004530801,0.00029229713,0.00051244715,0.00019024745,0.00031343056,0.000314641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016606203,0.0007560048,0.014354294,0.0008450638,0.00008850245,0.0011626778,0.00056543417,0.85942316,0.06452952,0.0045229816,0.0047927476,0.047299046],"study_design_scores_gemma":[0.0000642259,0.00036993268,0.004010124,0.000013735533,0.000031129668,0.00009643343,0.00016012364,0.9749093,0.018641341,0.00053980807,0.0011452108,0.000018584724],"about_ca_topic_score_codex":0.0041207853,"about_ca_topic_score_gemma":0.0025397493,"teacher_disagreement_score":0.004587997,"about_ca_system_score_codex":0.00041436293,"about_ca_system_score_gemma":0.0002766454,"threshold_uncertainty_score":0.015348434},"labels":[],"label_agreement":null},{"id":"W2341449404","doi":"10.1149/ma2014-02/5/397","title":"Potential and Current Distributions in Planar Electrodes of Lithium-Ion Batteries","year":2014,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Electrode; Current density; Voltage drop; Polarization (electrochemistry); Battery (electricity); Exchange current density; Current (fluid); Ion; Materials science; Electrochemistry; Chemistry; Voltage; Mechanics; Analytical Chemistry (journal); Thermodynamics; Electrical engineering; Physics; Engineering","score_opus":0.01034685565861431,"score_gpt":0.25182738995400616,"score_spread":0.24148053429539185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2341449404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8489096,0.0018712332,0.1307423,0.00032292414,0.00003671152,0.00005310607,0.00029741676,0.0004061218,0.017360477],"genre_scores_gemma":[0.99186254,0.00028770752,0.0063188877,0.000020611034,0.0000061109863,0.000023631545,0.00007621368,0.000009538105,0.0013947432],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989915,0.00001705865,0.0000046816413,0.00001670121,0.00004729706,0.000015082214],"domain_scores_gemma":[0.99978215,0.00010869434,0.000029533607,0.000013185064,0.000055578355,0.000010851655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016341016,0.00025302026,0.00026861034,0.0003845576,0.00022396448,0.00065356167,0.0004997855,0.0006182221,0.0007040194],"category_scores_gemma":[0.0009950792,0.0001550338,0.00020735772,0.0005044545,0.0005574243,0.00058520626,0.00024836336,0.0001848309,0.000186378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030789175,0.00007732327,0.003637854,0.00021092656,0.000033339966,0.0006481902,0.0001552874,0.855703,0.099102095,0.017494611,0.00045036047,0.022179164],"study_design_scores_gemma":[0.000029592291,0.00011672188,0.0022392815,0.000011515653,0.000009875162,0.00020527511,0.00008681738,0.97945446,0.011484545,0.005355805,0.0009752939,0.00003081246],"about_ca_topic_score_codex":0.00059014146,"about_ca_topic_score_gemma":0.00041727876,"teacher_disagreement_score":0.0007040194,"about_ca_system_score_codex":0.00051813625,"about_ca_system_score_gemma":0.00023533835,"threshold_uncertainty_score":0.0037593842},"labels":[],"label_agreement":null},{"id":"W2341636193","doi":"10.1177/0142331216642835","title":"Hybrid vehicular fuel cell/battery powertrain test bench: design, construction, and performance testing","year":2016,"lang":"en","type":"article","venue":"Transactions of the Institute of Measurement and Control","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Ontario Tech University","funders":"","keywords":"Test bench; Powertrain; Automotive engineering; Automotive industry; Hybrid vehicle; Battery (electricity); Energy management; Engineering; Fuel efficiency; Energy (signal processing); Power (physics); Computer science; Mechanical engineering; Torque","score_opus":0.025186095619382745,"score_gpt":0.19481046933422153,"score_spread":0.1696243737148388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2341636193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9059326,0.00025774902,0.082017444,0.00017572261,0.00023107864,0.0015341819,0.0019539655,0.0022047418,0.005692414],"genre_scores_gemma":[0.97344184,0.00016726115,0.015979454,0.000086176704,0.000022412678,0.0011876727,0.0015695383,0.00013917708,0.007406469],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99962413,0.000044979042,0.00002375624,0.000056922538,0.00018445787,0.00006577298],"domain_scores_gemma":[0.99947196,0.00007223628,0.000034086293,0.00007990308,0.00027299774,0.00006883637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005350704,0.0007502103,0.00036562278,0.00072552613,0.00049514644,0.00066207565,0.0017907318,0.0007851502,0.0043779216],"category_scores_gemma":[0.00071963965,0.00024894945,0.0002765953,0.00041679852,0.00034453967,0.00063862756,0.00048546112,0.0005082069,0.0012484959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001193789,0.0017199736,0.014217056,0.0012643567,0.0001788359,0.0016920607,0.00054338586,0.021681316,0.85983604,0.0024967398,0.0064565814,0.088719815],"study_design_scores_gemma":[0.0002040631,0.0065562455,0.013610766,0.000045772304,0.0000798657,0.0005880776,0.00038777344,0.03367334,0.9245891,0.00036722637,0.019812569,0.000085216605],"about_ca_topic_score_codex":0.0010338401,"about_ca_topic_score_gemma":0.0009665715,"teacher_disagreement_score":0.0043779216,"about_ca_system_score_codex":0.00037553668,"about_ca_system_score_gemma":0.00043031524,"threshold_uncertainty_score":0.014645636},"labels":[],"label_agreement":null},{"id":"W2341880771","doi":"10.1149/2.0661607jes","title":"Effect of High Charge Rate on Cycle Life of ZEBRA (Na/NiCl<sub>2</sub>) Cells","year":2016,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scanning electron microscope; Electrolyte; Cathode; Diffraction; Materials science; Degradation (telecommunications); Analytical Chemistry (journal); Chemistry; Electrode; Optics; Electrical engineering; Physics; Composite material; Physical chemistry","score_opus":0.003925889723282727,"score_gpt":0.21936576110026143,"score_spread":0.2154398713769787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2341880771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971885,0.0015450184,0.0004246123,0.000044682758,0.000023047529,0.000011019709,0.00014035359,0.00005547617,0.00056723686],"genre_scores_gemma":[0.9986338,0.00044369092,0.00038922246,0.00002851501,0.000008903347,0.000008567116,0.00008789794,0.000024523966,0.0003747025],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995993,0.00006864793,0.000048762493,0.000080150174,0.00012845699,0.00007473084],"domain_scores_gemma":[0.998042,0.0009717666,0.00024160088,0.0001693735,0.00045064918,0.00012447701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047555348,0.00034568828,0.00046872578,0.00031290177,0.00025191277,0.0007750836,0.0003543402,0.0005111509,0.0016996849],"category_scores_gemma":[0.0017535031,0.00022688885,0.00021323371,0.00039433478,0.0002229882,0.0007181184,0.00027849418,0.0004721068,0.00030859862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026579886,0.00019538071,0.0068324152,0.00023790725,0.00008848617,0.00047360818,0.00015624704,0.0026465834,0.97107285,0.00011250833,0.00018091523,0.015345249],"study_design_scores_gemma":[0.000022314804,0.0011452363,0.013136945,0.000016106784,0.00006285065,0.00027250094,0.00009068222,0.0017011344,0.9822927,0.000031881675,0.0012072516,0.000020329488],"about_ca_topic_score_codex":0.00074133597,"about_ca_topic_score_gemma":0.0012140538,"teacher_disagreement_score":0.0016996849,"about_ca_system_score_codex":0.00037599145,"about_ca_system_score_gemma":0.00017038225,"threshold_uncertainty_score":0.0056860447},"labels":[],"label_agreement":null},{"id":"W2346404356","doi":"10.1149/ma2016-03/2/653","title":"A Chemical, Mechanical and System-Level Approach to Lithium-Ion Cell and Battery Safety","year":2016,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"EaglePicher (Canada)","funders":"","keywords":"Battery (electricity); Thermal runaway; Flammability; Energy storage; Computer science; Work (physics); Engineering; Mechanical engineering; Materials science","score_opus":0.020789148642187262,"score_gpt":0.2318114683444962,"score_spread":0.21102231970230895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346404356","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005093814,0.015428878,0.8325418,0.011408482,0.0019116638,0.00043309407,0.00031719857,0.00090583507,0.13195929],"genre_scores_gemma":[0.31401184,0.037639786,0.44101152,0.009996304,0.0033703994,0.0012132379,0.0007336097,0.0007213223,0.19130193],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.996861,0.00040251415,0.00018167944,0.0004201528,0.0018918563,0.00024283635],"domain_scores_gemma":[0.99817,0.00038511312,0.00013930313,0.00039038097,0.00082875614,0.00008636627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018086237,0.0014719084,0.0009965493,0.001958232,0.0016483386,0.005434673,0.0035942756,0.0034758796,0.010088534],"category_scores_gemma":[0.0027030266,0.0007266901,0.0013597977,0.0012329527,0.0053306883,0.0058501493,0.004162335,0.0049519856,0.004538947],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049468388,0.00014308516,0.00089456467,0.0013193791,0.00008071932,0.00045110975,0.0007283726,0.036058903,0.017999738,0.8343921,0.011667267,0.09621534],"study_design_scores_gemma":[0.000027522883,0.0005691304,0.0009001894,0.00069437135,0.00010952531,0.0010884146,0.0006331688,0.068205714,0.02174544,0.4000515,0.5058571,0.000117883435],"about_ca_topic_score_codex":0.0026139973,"about_ca_topic_score_gemma":0.0024184184,"teacher_disagreement_score":0.010088534,"about_ca_system_score_codex":0.0030118679,"about_ca_system_score_gemma":0.0035883,"threshold_uncertainty_score":0.03374952},"labels":[],"label_agreement":null},{"id":"W2346548233","doi":"10.1149/ma2016-03/2/247","title":"Lithium Ion Battery Autopsies after Safety Testing Reveal Safety Benefits of Thermally Stable Separators","year":2016,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Spectra Energy (Canada)","funders":"","keywords":"Materials science; Composite material; Polyethylene terephthalate; Polypropylene; Overcharge; Nanofiber; Microfiber; Ceramic; Anode; Electrode; Battery (electricity); Chemistry","score_opus":0.017631460586163456,"score_gpt":0.24145699102954427,"score_spread":0.2238255304433808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346548233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99431604,0.0003351671,0.0034502444,0.000071388764,0.000029334346,0.000018644589,0.00022654438,0.00018922897,0.0013634156],"genre_scores_gemma":[0.9946196,0.000121924226,0.0016249829,0.000042836382,0.000004699806,0.000013260897,0.0002864363,0.000055582466,0.003230575],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99976915,0.00001649563,0.000018553612,0.000045286713,0.00009481225,0.000055626206],"domain_scores_gemma":[0.99954396,0.00011772776,0.000051743114,0.00010232336,0.00013992161,0.000044299657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016540404,0.00023966354,0.00019005907,0.00027505352,0.00026148607,0.0003228995,0.00030787484,0.00045723293,0.003085088],"category_scores_gemma":[0.00044738327,0.00013165826,0.00026807,0.0002200547,0.00022135158,0.00040271625,0.00024818798,0.00031950258,0.00072893593],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023973486,0.000027031509,0.0020391557,0.00003084994,0.0000064756873,0.00041713085,0.00008576819,0.00010278126,0.99308574,0.000073568095,0.00010295697,0.003788836],"study_design_scores_gemma":[0.0000073673236,0.0003687676,0.011858709,0.000006045631,0.000010245493,0.0005081721,0.000114962655,0.0006040764,0.98519117,0.000093114155,0.00122959,0.0000078117955],"about_ca_topic_score_codex":0.00033481888,"about_ca_topic_score_gemma":0.00048718232,"teacher_disagreement_score":0.003085088,"about_ca_system_score_codex":0.0001417648,"about_ca_system_score_gemma":0.000114178656,"threshold_uncertainty_score":0.010320604},"labels":[],"label_agreement":null},{"id":"W2346936248","doi":"10.1149/ma2016-03/2/823","title":"Ultra High-Precision Studies of Degradation Mechanisms in Aged LiCoO<sub>2</sub>/Graphite Li-Ion Cells","year":2016,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Electrolyte; Faraday efficiency; Electrode; Dissolution; Ion; Interphase; Capacity loss; Degradation (telecommunications); Depth of discharge; Chemistry; Materials science; Nanotechnology; Chemical engineering; Battery (electricity); Electrical engineering; Physics; Engineering; Physical chemistry","score_opus":0.020312275207669414,"score_gpt":0.25855879572798535,"score_spread":0.23824652052031592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346936248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906125,0.0016281303,0.0061384025,0.000049558563,0.000026502361,0.000024642351,0.00035572692,0.00012967507,0.0010348281],"genre_scores_gemma":[0.9952466,0.00029999574,0.003500671,0.000027962342,0.000012369084,0.000013234274,0.00016788834,0.000018639606,0.00071273145],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995981,0.000034457295,0.00002979432,0.00006187709,0.00023549757,0.000040382245],"domain_scores_gemma":[0.9990025,0.0002480599,0.0002053128,0.00015861091,0.00034680983,0.000038732145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004278031,0.00019350299,0.0002462648,0.0004120776,0.00022532223,0.00034877378,0.0004578393,0.00043863035,0.0006631277],"category_scores_gemma":[0.0010359895,0.00012967645,0.0001279451,0.0005428838,0.00036832812,0.0004991588,0.00021094861,0.00037927518,0.00017275315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025666296,0.000051729374,0.00541446,0.000111046545,0.000015437583,0.00023354992,0.0002672963,0.001448731,0.98167187,0.00025640902,0.0001233678,0.010149412],"study_design_scores_gemma":[0.000011177104,0.0006863552,0.017792102,0.00000912938,0.000020556095,0.000358537,0.00012746401,0.0046312334,0.97442496,0.00012422724,0.0017965719,0.000017748707],"about_ca_topic_score_codex":0.0011418023,"about_ca_topic_score_gemma":0.0011272825,"teacher_disagreement_score":0.0011418023,"about_ca_system_score_codex":0.00045026388,"about_ca_system_score_gemma":0.000124353,"threshold_uncertainty_score":0.0032669306},"labels":[],"label_agreement":null},{"id":"W2346992651","doi":"10.1149/ma2016-03/2/380","title":"Sustainable Redox Mediation for Lithium-Oxygen Battery By Using Protected Lithium Anode","year":2016,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Cathode; Anode; Redox; Overpotential; Battery (electricity); Lithium (medication); Chemical engineering; Organic radical battery; Energy storage; Chemistry; Materials science; Oxygen; Inorganic chemistry; Electrochemistry; Electrode; Power (physics); Organic chemistry","score_opus":0.015584634941574952,"score_gpt":0.2588257225225625,"score_spread":0.24324108758098753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346992651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8522132,0.0521683,0.072068736,0.0012636285,0.00086399424,0.0002537318,0.0005474693,0.001265959,0.019354908],"genre_scores_gemma":[0.96069545,0.0125884935,0.019820211,0.0002828567,0.00014483173,0.00011238265,0.00030375135,0.00005972595,0.0059922556],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999238,0.000009528348,0.000006386777,0.000020770425,0.000023852457,0.000015569865],"domain_scores_gemma":[0.9999722,0.000003852613,0.000009281049,0.000003200435,0.0000051833526,0.000006263142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012863835,0.00060910784,0.00026013263,0.00019856136,0.00016965711,0.00040921874,0.0007653079,0.0006415026,0.0012044396],"category_scores_gemma":[0.00012951618,0.00013802134,0.00021392835,0.00017839918,0.00019061513,0.0007186589,0.00044308178,0.0005308588,0.0007780304],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006637269,0.000059159727,0.000084072584,0.00036365815,0.0000073945607,0.0002564229,0.00004990555,0.00021840798,0.9890343,0.002194721,0.0002641719,0.0074014156],"study_design_scores_gemma":[0.000015493302,0.00039925534,0.00015850322,0.000016750977,0.000017533675,0.000277055,0.000026793883,0.0018189962,0.98435116,0.00033695428,0.01256834,0.000013217767],"about_ca_topic_score_codex":0.00010148273,"about_ca_topic_score_gemma":0.00020080474,"teacher_disagreement_score":0.0012044396,"about_ca_system_score_codex":0.00017845021,"about_ca_system_score_gemma":0.00012086083,"threshold_uncertainty_score":0.0040292144},"labels":[],"label_agreement":null},{"id":"W2350493921","doi":"10.1149/ma2016-03/2/266","title":"Interactions Between Positive and Negative Electrodes in Li-Ion Cells Operated at High Temperature and High Voltage","year":2016,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Electrolyte; Electrode; Glovebox; Analytical Chemistry (journal); Graphite; Materials science; Chemistry; Composite material; Chromatography; Organic chemistry; Physical chemistry","score_opus":0.008022203395034256,"score_gpt":0.23952790056550555,"score_spread":0.2315056971704713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2350493921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917243,0.0019699857,0.0041029784,0.000107752116,0.0000618668,0.000034489865,0.00027839464,0.00013496853,0.0015854056],"genre_scores_gemma":[0.99612314,0.0004474654,0.001816274,0.00004751672,0.000024037628,0.00002723638,0.00025895532,0.000027120419,0.0012283437],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992606,0.0001087386,0.000047422538,0.00019742326,0.000278969,0.00010678357],"domain_scores_gemma":[0.9994369,0.0002644613,0.00009613029,0.00005361126,0.000092406604,0.000056431407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056056894,0.00041669147,0.0006294937,0.00027895204,0.00047552807,0.0010279587,0.001047004,0.00065101444,0.0014919938],"category_scores_gemma":[0.00083795184,0.00031233847,0.00021374218,0.00036673446,0.00061577844,0.0010011056,0.0005429803,0.0004563072,0.00047338547],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005384476,0.000042283835,0.0010209727,0.00019227405,0.000020830335,0.00021430438,0.0001489595,0.00033926105,0.99313086,0.00019698974,0.00014796051,0.0040068426],"study_design_scores_gemma":[0.000023717384,0.00039031415,0.0031805972,0.000012585846,0.000023148184,0.0003213174,0.000097881115,0.0020777464,0.9921644,0.00014839025,0.0015441774,0.000015582571],"about_ca_topic_score_codex":0.0006247935,"about_ca_topic_score_gemma":0.0007645226,"teacher_disagreement_score":0.0014919938,"about_ca_system_score_codex":0.00060424616,"about_ca_system_score_gemma":0.00023557205,"threshold_uncertainty_score":0.0049912333},"labels":[],"label_agreement":null},{"id":"W2357388146","doi":"10.1149/ma2013-02/14/1117","title":"Multiscale Modeling of Magnetic Susceptibility of a LiFePO<sub>4</sub> Battery","year":2013,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Battery (electricity); Materials science; Statistical physics; Computer science; Condensed matter physics; Physics; Thermodynamics","score_opus":0.016472143845527826,"score_gpt":0.23700271920495822,"score_spread":0.22053057535943038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2357388146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8880517,0.0007020685,0.08102319,0.001319692,0.000090881455,0.000034742847,0.00059071917,0.00042506578,0.027761953],"genre_scores_gemma":[0.9958682,0.00010427703,0.0018053773,0.000040574334,0.000014911425,0.000012242933,0.000073802585,0.000025594893,0.002054937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999689,0.0000069365256,0.0000013158976,0.000006390824,0.000009157062,0.0000073269202],"domain_scores_gemma":[0.99992335,0.000027813985,0.000011425903,0.000008123547,0.000016395641,0.000012855286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009129225,0.0001914826,0.0002934755,0.00017316034,0.00020328155,0.0004333563,0.00050560327,0.0006657566,0.0025620281],"category_scores_gemma":[0.000409328,0.00014843738,0.0003098132,0.00017607365,0.00034435384,0.00050752965,0.00027123786,0.00025548658,0.00021906597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013357645,0.000056824487,0.0018395075,0.00007379319,0.000059021437,0.00044367512,0.000073997704,0.9426601,0.036794715,0.011429346,0.0014112033,0.0050243153],"study_design_scores_gemma":[0.0000039840575,0.000012344218,0.0005697241,0.0000021999892,0.00000454677,0.000022452648,0.000010576761,0.9974138,0.0005972782,0.0011176119,0.00024169048,0.0000038255666],"about_ca_topic_score_codex":0.0039258506,"about_ca_topic_score_gemma":0.0028792215,"teacher_disagreement_score":0.0039258506,"about_ca_system_score_codex":0.0003925818,"about_ca_system_score_gemma":0.00025677303,"threshold_uncertainty_score":0.00857079},"labels":[],"label_agreement":null},{"id":"W2367547250","doi":"10.1149/07212.0001ecst","title":"Safety Testing with Nonwoven Nanofiber Separators: Comparing Shutdown Separators to Thermally Stable Separators","year":2016,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Spectra Energy (Canada)","funders":"","keywords":"Materials science; Composite material; Nanofiber; Overcharge; Polypropylene; Penetration (warfare); Polyethylene; Polyolefin; Layer (electronics)","score_opus":0.01942945251925341,"score_gpt":0.25169056106078536,"score_spread":0.23226110854153195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2367547250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951214,0.0003742648,0.003747427,0.000048981186,0.000029089138,0.00005164118,0.00012896382,0.00012600883,0.0003722559],"genre_scores_gemma":[0.9942222,0.00039748746,0.0033148497,0.00005582082,0.000019443387,0.000051910978,0.00030392973,0.00007207566,0.0015622122],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988845,0.00015521683,0.00010969697,0.00020814408,0.0005214345,0.00012108352],"domain_scores_gemma":[0.9971072,0.0010048982,0.0005216436,0.00034096584,0.00087168626,0.00015363055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007779151,0.0005602692,0.00042150437,0.0006303783,0.0005190129,0.00055932906,0.0010032525,0.000977613,0.0020886222],"category_scores_gemma":[0.002261342,0.0002188935,0.00049326563,0.0005441723,0.0005833444,0.0011805603,0.0005985267,0.0004749267,0.0005098872],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017756537,0.00019229848,0.0033851007,0.0002529937,0.000043857934,0.00049112726,0.00035085276,0.00091994816,0.9829397,0.00011040446,0.00015276742,0.009385287],"study_design_scores_gemma":[0.000045365254,0.001975306,0.0043070694,0.000010001708,0.000029550067,0.0002916938,0.00016214176,0.0018891846,0.9903696,0.00004691434,0.0008569548,0.00001618134],"about_ca_topic_score_codex":0.0009553609,"about_ca_topic_score_gemma":0.0011299244,"teacher_disagreement_score":0.0020886222,"about_ca_system_score_codex":0.00040148868,"about_ca_system_score_gemma":0.00041886338,"threshold_uncertainty_score":0.0069871545},"labels":[],"label_agreement":null},{"id":"W2377352458","doi":"","title":"Effect of composite additive with conductive fiber and carbon black on the performance for discharging energy of positive electrode","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Carbon black; Lead–acid battery; Electrode; Materials science; Composite number; Battery (electricity); Composite material; Electrical conductor; Fiber; Specific energy; Carbon fibers; Chemical engineering; Chemistry; Engineering","score_opus":0.004569747477768831,"score_gpt":0.22504828741514443,"score_spread":0.2204785399373756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2377352458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99698526,0.0009870068,0.0012357521,0.000024718518,0.00003196374,0.000013635171,0.00004156496,0.00005051063,0.00062967424],"genre_scores_gemma":[0.99498606,0.0007844095,0.0030606831,0.000026613581,0.000011660524,0.000014710696,0.000079475605,0.000023745539,0.001012687],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997862,0.00002369352,0.000025844321,0.00006075754,0.000067463094,0.000036060974],"domain_scores_gemma":[0.9994759,0.00022737324,0.00007680747,0.000040609168,0.00012466311,0.00005466948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025713633,0.00051236455,0.00035813794,0.00046913885,0.0002142482,0.00041662136,0.0003102589,0.0003929111,0.0012426422],"category_scores_gemma":[0.00086848356,0.00023346483,0.00033614252,0.00026827227,0.00017754645,0.0005094133,0.0001932244,0.0002793329,0.00021517929],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041931926,0.00005251788,0.00033022676,0.00013261408,0.000015960768,0.00005971812,0.000024212763,0.00013096211,0.9948055,0.000039271294,0.0000148505915,0.0039747767],"study_design_scores_gemma":[0.0000069876587,0.00042911706,0.0011253621,0.0000035930848,0.00005097488,0.00007223782,0.000011756569,0.00034752997,0.9976107,0.000009366942,0.00032790817,0.000004379656],"about_ca_topic_score_codex":0.00046805068,"about_ca_topic_score_gemma":0.0009386306,"teacher_disagreement_score":0.0012426422,"about_ca_system_score_codex":0.00012696287,"about_ca_system_score_gemma":0.00015244108,"threshold_uncertainty_score":0.0041570663},"labels":[],"label_agreement":null},{"id":"W2378282891","doi":"10.1109/jestpe.2016.2566583","title":"Electrochemical and Electrostatic Energy Storage and Management Systems for Electric Drive Vehicles: State-of-the-Art Review and Future Trends","year":2016,"lang":"en","type":"article","venue":"IEEE Journal of Emerging and Selected Topics in Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":287,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canada Excellence Research Chairs, Government of Canada; Canada Research Chairs","keywords":"Battery (electricity); Energy storage; Market penetration; Supercapacitor; Computer science; Automotive engineering; Energy management; Electric vehicle; Electrical engineering; Risk analysis (engineering); Reliability engineering; Engineering; Energy (signal processing); Business; Power (physics); Electrochemistry","score_opus":0.00510639028719413,"score_gpt":0.24057318775702463,"score_spread":0.2354667974698305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2378282891","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009550937,0.9941677,0.0016497071,0.00028361843,0.00021885008,0.000013054451,0.000032684267,0.000020360985,0.0026589043],"genre_scores_gemma":[0.0056222514,0.9894688,0.0022927346,0.00019124377,0.0003513371,0.000013857485,0.00009342931,0.000006117169,0.0019602478],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997818,0.00002652684,0.00004056534,0.00003998968,0.000096645585,0.000014543705],"domain_scores_gemma":[0.9994561,0.00023455531,0.00007891725,0.000013429277,0.00019653192,0.000020467538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005512544,0.00060445466,0.00084888766,0.0014125105,0.00022045748,0.0009855824,0.00080356275,0.0009998169,0.0032319052],"category_scores_gemma":[0.0005593405,0.00030316034,0.0005007481,0.0021725697,0.00024917859,0.0018223095,0.0004678297,0.0006680679,0.0013011483],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084499276,0.000131228,0.00047517908,0.013701521,0.00007896174,0.00020575206,0.000065325505,0.0014308942,0.0057073124,0.004168989,0.010835684,0.9631146],"study_design_scores_gemma":[0.000018100951,0.00051352003,0.0017219002,0.0039640586,0.00028311007,0.001744837,0.00022032409,0.002808117,0.005307034,0.0035545605,0.97979283,0.00007162425],"about_ca_topic_score_codex":0.00064851076,"about_ca_topic_score_gemma":0.0011712244,"teacher_disagreement_score":0.0032319052,"about_ca_system_score_codex":0.00028408912,"about_ca_system_score_gemma":0.00066203997,"threshold_uncertainty_score":0.010811806},"labels":[],"label_agreement":null},{"id":"W2396527541","doi":"10.1039/c6ee00836d","title":"Opportunities for near zero volt storage of lithium ion batteries","year":2016,"lang":"en","type":"article","venue":"Energy & Environmental Science","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CMC Microsystems (Canada)","funders":"Air Force Research Laboratory","keywords":"Volt; Lithium (medication); Battery (electricity); Ion; Energy storage; Lithium-ion battery; Materials science; Electrical engineering; Computer science; Engineering; Chemistry; Voltage; Physics; Medicine; Power (physics)","score_opus":0.02242256331287711,"score_gpt":0.22784433438148233,"score_spread":0.2054217710686052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2396527541","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38290942,0.056505274,0.14765018,0.015077323,0.004117069,0.00021598564,0.0013098174,0.0031156365,0.38909933],"genre_scores_gemma":[0.9290494,0.015775522,0.018128535,0.0010569511,0.000363213,0.000120483855,0.000600508,0.00016129397,0.03474399],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986064,0.000012680536,0.0000065762542,0.00001902986,0.000072376795,0.000028710152],"domain_scores_gemma":[0.99986994,0.000036982026,0.000012711141,0.000016768725,0.00003828985,0.00002521801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024073743,0.00027856056,0.00032997777,0.00044951294,0.0004543653,0.0011092346,0.0008610451,0.0009152644,0.016269073],"category_scores_gemma":[0.0004065572,0.00022365338,0.00028339578,0.00036808645,0.0004883419,0.0021569498,0.0013104066,0.00091137027,0.0031559346],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011797368,0.0003776546,0.0013573439,0.0016105473,0.00004205356,0.0012953972,0.0006486069,0.0051680766,0.53654134,0.22854225,0.016917858,0.20631912],"study_design_scores_gemma":[0.00020959807,0.0014293238,0.0011857502,0.0005370648,0.00005939175,0.0027512053,0.000971916,0.020821853,0.43228254,0.19439231,0.34519312,0.00016584834],"about_ca_topic_score_codex":0.00013597279,"about_ca_topic_score_gemma":0.00023442485,"teacher_disagreement_score":0.016269073,"about_ca_system_score_codex":0.00023521966,"about_ca_system_score_gemma":0.00030951053,"threshold_uncertainty_score":0.05442542},"labels":[],"label_agreement":null},{"id":"W2397377589","doi":"10.1109/tpel.2016.2569486","title":"Applied Integrated Active Filter Auxiliary Power Module for Electrified Vehicles With Single-Phase Onboard Chargers","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canada Excellence Research Chairs, Government of Canada; Canada Research Chairs","keywords":"Electrical engineering; Capacitor; Ripple; Harmonic; Battery (electricity); Voltage; Engineering; Power (physics); Electronic engineering; AC power; Active filter; Computer science; Physics","score_opus":0.012881222070610859,"score_gpt":0.24457072512464256,"score_spread":0.23168950305403171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2397377589","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42090604,0.0009464834,0.55140626,0.00022401147,0.00030403992,0.00022569047,0.00029815643,0.002763898,0.022925442],"genre_scores_gemma":[0.95829624,0.00023307868,0.03211124,0.000069180445,0.000034771456,0.000053955686,0.00013752954,0.000055770557,0.009008375],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998648,0.000012496405,0.000006544324,0.000024506613,0.00007282221,0.00001879629],"domain_scores_gemma":[0.99991167,0.00000875877,0.000010239726,0.000016634576,0.00004438028,0.000008305268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009498634,0.00032924683,0.00029156348,0.00033899897,0.00019648462,0.00046459088,0.0009093748,0.00040582477,0.004126078],"category_scores_gemma":[0.00015983662,0.00011547132,0.00033965407,0.00030687,0.00011876338,0.0006210222,0.00031863048,0.00035187963,0.00096360745],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036437137,0.0001769296,0.0016471243,0.00039889655,0.00006824875,0.00036474268,0.00013440983,0.0032103432,0.75415355,0.0034931148,0.0027384164,0.2332499],"study_design_scores_gemma":[0.00012103893,0.0018103909,0.0065742773,0.000051827654,0.00014635714,0.0016884325,0.00010856898,0.079061925,0.8425017,0.0016174255,0.06627482,0.000043322336],"about_ca_topic_score_codex":0.00036687238,"about_ca_topic_score_gemma":0.00049283984,"teacher_disagreement_score":0.004126078,"about_ca_system_score_codex":0.00023202843,"about_ca_system_score_gemma":0.00021475031,"threshold_uncertainty_score":0.013803065},"labels":[],"label_agreement":null},{"id":"W2397845925","doi":"10.1109/tte.2016.2571778","title":"On the Suitability of Electrochemical-Based Modeling for Lithium-Ion Batteries","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); State of charge; Electrochemistry; Lithium (medication); Electrolyte; Lithium-ion battery; Computer science; State of health; Ion; Phase (matter); Power (physics); Materials science; Algorithm; Chemistry; Electrode; Physics","score_opus":0.021766116118597727,"score_gpt":0.2558000027617841,"score_spread":0.2340338866431864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2397845925","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044457965,0.0016092488,0.94112676,0.0005449184,0.00009221537,0.000063655396,0.00026647063,0.00052730297,0.011311542],"genre_scores_gemma":[0.8906265,0.003903141,0.09800493,0.0001562089,0.000096315925,0.00017985827,0.00038702742,0.00013418809,0.006511858],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984014,0.000053883334,0.000010122178,0.000018738803,0.00006770251,0.0000093338485],"domain_scores_gemma":[0.99969757,0.00016442739,0.000017610098,0.00004111296,0.00007324007,0.0000059733406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035243307,0.0004597549,0.00037165426,0.00030170198,0.00024045137,0.0007009058,0.0008185769,0.0006671895,0.0010606464],"category_scores_gemma":[0.001599625,0.00016277784,0.000493063,0.00038313871,0.00030390377,0.001001679,0.00040662332,0.00060879847,0.0004109124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034888806,0.000036852663,0.0008018661,0.00011848247,0.000017938557,0.000069085036,0.00004535757,0.9358464,0.00903359,0.024080658,0.0005750011,0.029339867],"study_design_scores_gemma":[0.0000013415909,0.000008988126,0.000119623124,0.0000068349236,0.0000025780726,0.0000110277315,0.000004076364,0.9951119,0.0010276001,0.0028299028,0.0008728431,0.0000033728495],"about_ca_topic_score_codex":0.0036920758,"about_ca_topic_score_gemma":0.0022301024,"teacher_disagreement_score":0.0036920758,"about_ca_system_score_codex":0.00032151656,"about_ca_system_score_gemma":0.00042918578,"threshold_uncertainty_score":0.007341206},"labels":[],"label_agreement":null},{"id":"W2399523973","doi":"10.4050/f-0072-2016-11468","title":"Health Monitoring Survey of Bell 412EP Transmissions","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bell Helicopter Textron (Canada)","funders":"","keywords":"Computer science","score_opus":0.05326265968667321,"score_gpt":0.3287672725041987,"score_spread":0.2755046128175255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2399523973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99888283,0.000038612077,0.00008286131,0.00002692184,0.0000012430927,0.000009895626,0.00031176896,0.0000038936496,0.0006421019],"genre_scores_gemma":[0.9981602,0.00007336103,0.000102056656,0.000025308947,0.0000040599607,0.000013841826,0.0005502969,0.0000012152987,0.0010696905],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996449,0.00007207336,0.000027533995,0.00007747349,0.00011675956,0.000061230836],"domain_scores_gemma":[0.9991917,0.00012999034,0.00018959261,0.00003754673,0.00035255027,0.000098507204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041332952,0.00018396447,0.00013721875,0.00091324566,0.00036934114,0.00032283974,0.00021353055,0.00030337085,0.0012247588],"category_scores_gemma":[0.0008862342,0.000118304146,0.000105846106,0.0006801186,0.00014459342,0.0002534684,0.0002942193,0.00019224071,0.00035958097],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008506542,0.000114601185,0.9808926,0.000033695967,0.000019555571,0.00041053945,0.0013202265,0.00028378027,0.005373656,0.000045467976,0.000558516,0.010862393],"study_design_scores_gemma":[9.316087e-7,0.00019004365,0.9982027,0.000004086479,0.0000029028424,0.00009466144,0.0005699556,0.00021002078,0.00021787822,0.0000027522142,0.00050172216,0.0000024214935],"about_ca_topic_score_codex":0.023110764,"about_ca_topic_score_gemma":0.03077018,"teacher_disagreement_score":0.023110764,"about_ca_system_score_codex":0.0006110598,"about_ca_system_score_gemma":0.00028104038,"threshold_uncertainty_score":0.0459525},"labels":[],"label_agreement":null},{"id":"W2405535716","doi":"","title":"Power delivery: Droop, jitter, test and debug story (Tutorial).","year":2012,"lang":"en","type":"article","venue":"Custom Integrated Circuits Conference","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Voltage droop; Jitter; Debugging; Computer science; Power (physics); Test (biology); Operating system; Telecommunications; Voltage regulator; Physics","score_opus":0.021231705098680352,"score_gpt":0.24218756137058361,"score_spread":0.22095585627190326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2405535716","genre_codex":"review","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065653776,0.5457584,0.2517072,0.022331014,0.017151076,0.00012740432,0.00036334252,0.004083057,0.15191321],"genre_scores_gemma":[0.06297506,0.38377,0.07395149,0.011935125,0.013464805,0.00019447244,0.00038151207,0.0015424084,0.45178512],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99970824,0.000057600562,0.00001428256,0.000038109934,0.0001578634,0.000023876077],"domain_scores_gemma":[0.9994135,0.0003535026,0.000024886356,0.00003221222,0.00013180648,0.000044109453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009916457,0.0010116132,0.0005347655,0.0008298019,0.00055135315,0.0022047868,0.00095721823,0.001916762,0.011765368],"category_scores_gemma":[0.0019713852,0.0005499518,0.00028889906,0.0007087745,0.0012679936,0.003698807,0.0010076463,0.0024826122,0.005651606],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012437561,0.00007694356,0.00020313128,0.00065233145,0.000026087657,0.0003827945,0.0006595015,0.0020657515,0.0068425876,0.05485384,0.3285677,0.60554487],"study_design_scores_gemma":[0.000009475645,0.00013609276,0.0002957871,0.00033688164,0.000017518681,0.002073245,0.00024083584,0.002692194,0.0033142748,0.016953113,0.9739042,0.000026358515],"about_ca_topic_score_codex":0.001100101,"about_ca_topic_score_gemma":0.0021484268,"teacher_disagreement_score":0.011765368,"about_ca_system_score_codex":0.00054119027,"about_ca_system_score_gemma":0.00033858523,"threshold_uncertainty_score":0.039359033},"labels":[],"label_agreement":null},{"id":"W2406269440","doi":"10.1109/tvt.2016.2570698","title":"Improving Efficiency Through Adaptive Internal Model Control of Hydrogen-Based Genset Used as a Range Extender for Electric Vehicles","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automotive engineering; Controller (irrigation); Powertrain; Range (aeronautics); Computer science; Battery (electricity); Electric power; Driving range; Power (physics); Control theory (sociology); Engineering; Torque; Control (management); Aerospace engineering","score_opus":0.016129591702155215,"score_gpt":0.25382499589076873,"score_spread":0.2376954041886135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2406269440","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38174203,0.0004364265,0.604199,0.00013016265,0.00008949651,0.00006020213,0.000039716262,0.0008467629,0.012456242],"genre_scores_gemma":[0.99394834,0.000056202163,0.00493014,0.0000097085895,0.0000054527554,0.000012412194,0.000015507907,0.000009852669,0.0010123904],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992454,0.000013358147,0.0000045493557,0.000017904367,0.000029240275,0.000010504737],"domain_scores_gemma":[0.99991655,0.000024318737,0.000019365729,0.000010997753,0.000025274225,0.0000035781718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017783567,0.0002965056,0.00020423779,0.00011382699,0.00012553307,0.00030098888,0.0003229675,0.00015214048,0.00059194246],"category_scores_gemma":[0.0002222133,0.00009362163,0.00019713482,0.000080327714,0.0001473341,0.00019495566,0.0002385235,0.00022895943,0.00013488262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039614498,0.0001630182,0.0023619104,0.00035876114,0.00009397243,0.0002132451,0.00032346105,0.5334348,0.2494859,0.004282411,0.001172449,0.20771386],"study_design_scores_gemma":[0.000024531795,0.00041713438,0.0011419152,0.000010409162,0.000026461119,0.00004642114,0.00002597789,0.96243286,0.033138413,0.00038323345,0.0023415112,0.000011119524],"about_ca_topic_score_codex":0.0010528784,"about_ca_topic_score_gemma":0.0015348018,"teacher_disagreement_score":0.0010528784,"about_ca_system_score_codex":0.00014417543,"about_ca_system_score_gemma":0.00012877716,"threshold_uncertainty_score":0.0020934343},"labels":[],"label_agreement":null},{"id":"W2408799643","doi":"10.1109/tsg.2016.2576902","title":"Integrating EV Charging Stations as Smart Loads for Demand Response Provisions in Distribution Systems","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Smart Grid","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":118,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Queueing theory; Electric vehicle; Charging station; Engineering; Demand response; Automotive engineering; Computer science; Electrical engineering; Computer network; Power (physics); Electricity","score_opus":0.017459520300364302,"score_gpt":0.2802670510661631,"score_spread":0.2628075307657988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2408799643","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048442625,0.00017507296,0.9419976,0.0002788718,0.000056642195,0.00010692078,0.00016585203,0.00042368443,0.008352729],"genre_scores_gemma":[0.9625173,0.00026702264,0.028491564,0.00004851476,0.000032742315,0.000104889165,0.000090285175,0.000048406986,0.008399316],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935836,0.00019438984,0.000028583254,0.00015619857,0.00016155848,0.00010090306],"domain_scores_gemma":[0.9996898,0.00014929207,0.000054190285,0.000025017447,0.00006651535,0.000015204267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006820071,0.00068061595,0.0005387032,0.00033504335,0.00043820575,0.0012260758,0.0013609462,0.0008290128,0.0027450756],"category_scores_gemma":[0.0013055439,0.00051624444,0.0005465314,0.0006063207,0.0005800688,0.0024748493,0.0006582848,0.0009381817,0.00035271002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033488748,0.000033964257,0.00045229177,0.000026249172,0.000009017003,0.00004700882,0.000038400864,0.97660154,0.0008443454,0.013233518,0.00022135336,0.008458807],"study_design_scores_gemma":[0.0000031721268,0.0000140274415,0.00006977089,0.000002349879,0.0000042344604,0.000005989187,0.000011102229,0.9970107,0.00021137875,0.002259512,0.00040405756,0.0000036904325],"about_ca_topic_score_codex":0.012688828,"about_ca_topic_score_gemma":0.016203647,"teacher_disagreement_score":0.012688828,"about_ca_system_score_codex":0.001834838,"about_ca_system_score_gemma":0.0012417088,"threshold_uncertainty_score":0.02522993},"labels":[],"label_agreement":null},{"id":"W2427704813","doi":"","title":"Parametric analysis using impedance spectroscopy: relationship between material properties and battery performance","year":2000,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Parametrization (atmospheric modeling); Electrical impedance; Battery (electricity); Parametric statistics; Materials science; Equivalent circuit; Dielectric spectroscopy; Electrode; Cathode; Voltage; Composite number; Analytical Chemistry (journal); Composite material; Thermodynamics; Chemistry; Electrical engineering; Physics; Mathematics; Engineering; Optics; Power (physics)","score_opus":0.04994184825342263,"score_gpt":0.28239327403927333,"score_spread":0.2324514257858507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2427704813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57383925,0.00059723423,0.42081133,0.00015738443,0.000024427103,0.00005561484,0.00059450633,0.0013029746,0.002617304],"genre_scores_gemma":[0.9833234,0.00026951573,0.015668277,0.000011505464,0.000006577685,0.00004263602,0.00018375977,0.00002824249,0.000466098],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998579,0.000036028086,0.000011088645,0.000030965697,0.000053094343,0.000010936802],"domain_scores_gemma":[0.9994442,0.00039513872,0.000042129377,0.00006131262,0.000051804105,0.000005319457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028980308,0.00032740508,0.00021198438,0.00042895487,0.00008259847,0.00029086575,0.00034842733,0.00037729516,0.0011994872],"category_scores_gemma":[0.0023904024,0.00013164722,0.00020056652,0.0004553478,0.000157139,0.00066439254,0.00026213907,0.00030048253,0.00033007248],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033322285,0.00008947905,0.010846426,0.00023920042,0.000053314987,0.00026936637,0.0001326636,0.04630075,0.82088214,0.0015981476,0.00038024696,0.118875],"study_design_scores_gemma":[0.00001687288,0.000593512,0.029636858,0.000020421678,0.000072992996,0.0008359053,0.00009521907,0.3126145,0.6501668,0.0035688765,0.0023116574,0.00006632607],"about_ca_topic_score_codex":0.00015412908,"about_ca_topic_score_gemma":0.00017327876,"teacher_disagreement_score":0.0011994872,"about_ca_system_score_codex":0.00011456353,"about_ca_system_score_gemma":0.00005997897,"threshold_uncertainty_score":0.0040126443},"labels":[],"label_agreement":null},{"id":"W2432109808","doi":"10.1109/tvt.2015.2473841","title":"Lithium-Ion Battery Aging Experiments at Subzero Temperatures and Model Development for Capacity Fade Estimation","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":171,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Lyon","keywords":"Fade; Battery (electricity); Anode; Degradation (telecommunications); Lithium-ion battery; Ion; Materials science; Lithium (medication); Accelerated aging; Electrode; Electrical engineering; Computer science; Chemistry; Engineering; Thermodynamics; Physics; Composite material; Physical chemistry; Organic chemistry","score_opus":0.038618218446159314,"score_gpt":0.28042813094701335,"score_spread":0.24180991250085404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2432109808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59018123,0.0028423883,0.3818084,0.000303968,0.00019564728,0.00058580475,0.0055912193,0.0030354639,0.015455869],"genre_scores_gemma":[0.96736187,0.0010125461,0.024826247,0.000025403871,0.0000133841295,0.0005519296,0.0018711129,0.00012091825,0.0042165937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990296,0.000015270698,0.000012162584,0.000025053296,0.000031498374,0.000013023448],"domain_scores_gemma":[0.99972206,0.000112439055,0.000024596464,0.000041706615,0.00009295922,0.000006244937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036990986,0.00078319054,0.00061888766,0.00041362533,0.00029100777,0.00044264912,0.0008537491,0.00065897935,0.0019059877],"category_scores_gemma":[0.0009014768,0.00017702681,0.0008228155,0.00050134154,0.00016874926,0.0005862472,0.00031973538,0.0008328886,0.0005474934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010969982,0.00009607762,0.0018033576,0.00031289397,0.000027277449,0.00010946196,0.00010965578,0.95501214,0.024946786,0.0016468026,0.00088114425,0.0149447005],"study_design_scores_gemma":[0.000005768227,0.00006094929,0.0006025734,0.000008595664,0.000013797606,0.000013435404,0.000016973401,0.9848616,0.0129925925,0.00034510982,0.0010687781,0.000009783474],"about_ca_topic_score_codex":0.009041104,"about_ca_topic_score_gemma":0.004931045,"teacher_disagreement_score":0.009041104,"about_ca_system_score_codex":0.0005436015,"about_ca_system_score_gemma":0.000396308,"threshold_uncertainty_score":0.01797694},"labels":[],"label_agreement":null},{"id":"W2460385892","doi":"10.1088/0026-1394/53/1a/01008","title":"Final Report. Supplementary comparison of 50/60 Hz energy SIM.EM-S7","year":2016,"lang":"en","type":"article","venue":"Metrologia","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Mutual recognition; Energy (signal processing); Computer science; Statistics; Key (lock); Mathematics; Data mining; Database; Computer security","score_opus":0.03396945638638421,"score_gpt":0.30685008688707094,"score_spread":0.2728806305006867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2460385892","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015582492,0.0005861465,0.0104097,0.001185324,0.0028489872,0.00071864773,0.77256,0.003500992,0.19260763],"genre_scores_gemma":[0.061554074,0.0006037519,0.019338487,0.0005998579,0.00047295573,0.0011239337,0.7914302,0.0040328223,0.120844066],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9940269,0.0006012732,0.00039243512,0.0005238625,0.00414404,0.0003114614],"domain_scores_gemma":[0.9797934,0.002009153,0.0007745766,0.0018599336,0.01511365,0.0004492801],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0051092166,0.0010924351,0.00068993197,0.005457644,0.0012213186,0.0020750999,0.0017988698,0.0011403804,0.32671887],"category_scores_gemma":[0.014616523,0.00044718862,0.00093684805,0.0048141023,0.00031158718,0.0020653491,0.0019730192,0.0010180585,0.15292165],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013424071,0.00018584478,0.0047451993,0.0006542029,0.000058384758,0.00017449562,0.00011614474,0.0010636295,0.0036277897,0.004083078,0.9183935,0.065555334],"study_design_scores_gemma":[0.00010333495,0.00027124552,0.023855777,0.00024726955,0.000055219243,0.0002823586,0.00047686137,0.0010540832,0.01638646,0.0027495218,0.95444536,0.00007247096],"about_ca_topic_score_codex":0.012490623,"about_ca_topic_score_gemma":0.009833453,"teacher_disagreement_score":0.32671887,"about_ca_system_score_codex":0.0027482952,"about_ca_system_score_gemma":0.0026841916,"threshold_uncertainty_score":0.96035385},"labels":[],"label_agreement":null},{"id":"W2465611247","doi":"10.1109/ipemc.2016.7512724","title":"New single-stage EV charger for V2H applications","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Yanshan University; China Postdoctoral Science Foundation","keywords":"Battery charger; Backup; Electrical engineering; Voltage; Battery (electricity); Computer science; Power (physics); Electronic engineering; Engineering; Topology (electrical circuits); Physics","score_opus":0.03410262560681834,"score_gpt":0.284866888206719,"score_spread":0.2507642625999007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2465611247","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2774336,0.007624859,0.648356,0.0011019323,0.0020489322,0.00060861383,0.001039223,0.0075848973,0.054201905],"genre_scores_gemma":[0.9006992,0.0013203816,0.059682876,0.00034910007,0.0002792092,0.00013486335,0.00049964426,0.000111936126,0.036922872],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997002,0.000023223856,0.000017935841,0.00006614738,0.00015924842,0.00003322485],"domain_scores_gemma":[0.99987924,0.000009932391,0.000014336974,0.000019096242,0.000065408465,0.000011979266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019565529,0.00044968136,0.0009129416,0.00037081412,0.00036080464,0.0005953279,0.0020758377,0.000695416,0.0069570225],"category_scores_gemma":[0.00015772971,0.00021976345,0.0004672975,0.00038733968,0.00014342388,0.0010505514,0.00043828823,0.00048940955,0.0024970733],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009759855,0.00035277184,0.0014217071,0.0013210303,0.00014363074,0.000853973,0.00020706705,0.0067065074,0.60918677,0.006084931,0.021231258,0.35151437],"study_design_scores_gemma":[0.0004366476,0.002950645,0.0054621515,0.00009823494,0.0002764489,0.0063410252,0.0001648309,0.29742584,0.536623,0.002123319,0.14793219,0.00016567894],"about_ca_topic_score_codex":0.0003573927,"about_ca_topic_score_gemma":0.00082361134,"teacher_disagreement_score":0.0069570225,"about_ca_system_score_codex":0.00022092777,"about_ca_system_score_gemma":0.000225629,"threshold_uncertainty_score":0.023273587},"labels":[],"label_agreement":null},{"id":"W2467814465","doi":"10.1016/j.ijhydene.2016.06.111","title":"On the sizing and energy management of an hybrid multistack fuel cell – Battery system for automotive applications","year":2016,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":111,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Sizing; Battery (electricity); Stack (abstract data type); Automotive engineering; Hybrid system; Computer science; Energy management; State of charge; Automotive industry; Fuel efficiency; Energy (signal processing); Engineering; Power (physics); Chemistry; Thermodynamics; Mathematics","score_opus":0.010392627989326466,"score_gpt":0.24671481762745665,"score_spread":0.23632218963813018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2467814465","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82074887,0.001673387,0.1637377,0.00031015702,0.00015248821,0.000087333,0.00017504545,0.00043339748,0.012681613],"genre_scores_gemma":[0.98988134,0.00014964401,0.007520492,0.00002626769,0.000013735715,0.000009335766,0.000054853284,0.00001397975,0.0023304275],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999449,0.000006823607,0.000005254823,0.000013343191,0.000022167305,0.0000074450204],"domain_scores_gemma":[0.99993825,0.00001648579,0.00000738083,0.0000060190446,0.00002833725,0.0000034228008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000930907,0.00023609168,0.0002974263,0.00019887077,0.00032762645,0.00055331393,0.00038983903,0.00017155682,0.0019115529],"category_scores_gemma":[0.00015032827,0.00014104332,0.00020499458,0.0002172965,0.00011455152,0.0004759829,0.00017725432,0.00014340883,0.00020068091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007877436,0.0001968179,0.003552566,0.00028022836,0.00011777127,0.0002524371,0.0001503959,0.2611766,0.50785094,0.0033173834,0.0017606094,0.22055656],"study_design_scores_gemma":[0.000022091304,0.00032164322,0.002272786,0.000009525048,0.000082564875,0.00011041134,0.00009774153,0.8885036,0.10358757,0.0012137548,0.0037643907,0.000013903953],"about_ca_topic_score_codex":0.0025839612,"about_ca_topic_score_gemma":0.0079364665,"teacher_disagreement_score":0.0025839612,"about_ca_system_score_codex":0.0002808719,"about_ca_system_score_gemma":0.00036020714,"threshold_uncertainty_score":0.0063948035},"labels":[],"label_agreement":null},{"id":"W2469249099","doi":"10.3390/en9070532","title":"Electric Vehicle to Power Grid Integration Using Three-Phase Three-Level AC/DC Converter and PI-Fuzzy Controller","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Controller (irrigation); Control theory (sociology); Overshoot (microwave communication); PID controller; Settling time; Grid; Engineering; Fuzzy logic; Computer science; Electrical engineering; Control engineering; Control (management); Mathematics; Step response; Temperature control","score_opus":0.02749381460530256,"score_gpt":0.2776844898376477,"score_spread":0.25019067523234517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2469249099","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15251562,0.0003897677,0.8004661,0.00020449623,0.00016244945,0.00035994613,0.00026370035,0.0033745389,0.042263437],"genre_scores_gemma":[0.94825685,0.00024809697,0.045627397,0.00003886015,0.000009416937,0.0001601567,0.00015658596,0.000038033588,0.005464618],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987483,0.000023891675,0.000007319185,0.000021113223,0.00005823602,0.000014550829],"domain_scores_gemma":[0.999907,0.00002733129,0.000008104077,0.0000121407775,0.000038782855,0.000006703796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017656677,0.0004559322,0.00041392373,0.00019822463,0.0003740373,0.00069982756,0.0005305325,0.0004808128,0.0031209711],"category_scores_gemma":[0.0003115756,0.00017942359,0.0004448258,0.0002471433,0.00020483378,0.00036552447,0.00029040576,0.00061132055,0.00044439815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015012089,0.00014915563,0.0009764571,0.00017628612,0.000052030326,0.00023338775,0.000079973055,0.94029146,0.010357301,0.0042939847,0.0008756495,0.042364147],"study_design_scores_gemma":[0.000027683374,0.00009663148,0.0003908838,0.0000072657413,0.000017090159,0.00004636336,0.000013837933,0.9922483,0.004057635,0.00088485103,0.0022019877,0.000007438625],"about_ca_topic_score_codex":0.010141545,"about_ca_topic_score_gemma":0.0064917,"teacher_disagreement_score":0.010141545,"about_ca_system_score_codex":0.00036980023,"about_ca_system_score_gemma":0.0005766689,"threshold_uncertainty_score":0.020165026},"labels":[],"label_agreement":null},{"id":"W2473536323","doi":"10.1002/cjce.22566","title":"Heat‐pipe‐based thermal management and temperature characteristics of Li‐ion batteries","year":2016,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Heat pipe; Battery (electricity); Heat transfer; Materials science; Computer cooling; Thermal; Battery pack; Nuclear engineering; Mechanical engineering; Air cooling; Loop heat pipe; Convection; Thermal management of electronic devices and systems; Mechanics; Thermodynamics; Engineering; Physics; Power (physics)","score_opus":0.006494222538929669,"score_gpt":0.19142712403386122,"score_spread":0.18493290149493155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2473536323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921612,0.0002242301,0.005515216,0.00004941434,0.000013244757,0.000014250316,0.00011655059,0.00014504275,0.0017609063],"genre_scores_gemma":[0.9994431,0.000029138113,0.00019699172,0.0000026510281,0.0000014208321,0.000004727023,0.000023718032,0.0000049056325,0.0002933436],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991906,0.000014546131,0.000004873241,0.000014469689,0.000034033765,0.000012994167],"domain_scores_gemma":[0.99977416,0.00008703708,0.00004322464,0.000014850736,0.00007111351,0.000009549954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001957751,0.00015544324,0.00021531948,0.0001822378,0.00013301948,0.0002425728,0.00032861935,0.00024127004,0.0008857045],"category_scores_gemma":[0.00048805203,0.00012380685,0.00015114911,0.00020975346,0.00021127229,0.0005429677,0.00012860917,0.00013948782,0.00016391076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015962678,0.000172594,0.022775887,0.00040483172,0.000078345685,0.00036355114,0.00048589794,0.29752406,0.63663024,0.0011804595,0.0015793447,0.037208617],"study_design_scores_gemma":[0.000032026637,0.0009000482,0.025545057,0.000022010705,0.00004907949,0.00018298584,0.0001644742,0.5850086,0.38565624,0.00046392187,0.0019291848,0.000046347854],"about_ca_topic_score_codex":0.0009963618,"about_ca_topic_score_gemma":0.0010470563,"teacher_disagreement_score":0.0009963618,"about_ca_system_score_codex":0.00031863016,"about_ca_system_score_gemma":0.00016780004,"threshold_uncertainty_score":0.002962947},"labels":[],"label_agreement":null},{"id":"W2478121796","doi":"10.1109/itec.2016.7520300","title":"Comparative evaluation of partially-decoupled battery-supercapacitor HESS topologies for EVs from battery pack capacity fading viewpoint","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Battery pack; Fading; Supercapacitor; Network topology; Topology (electrical circuits); Computer science; Electric vehicle; Energy storage; Battery capacity; Automotive engineering; Electrical engineering; Engineering; Computer network; Capacitance; Power (physics); Electrode; Physics","score_opus":0.1327202085191122,"score_gpt":0.34190577497845953,"score_spread":0.20918556645934733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2478121796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92746043,0.0016737669,0.048521813,0.00015615685,0.000071124676,0.00020456371,0.0005606856,0.00042304365,0.020928359],"genre_scores_gemma":[0.9969608,0.00023872752,0.001997967,0.00001078483,0.00000550158,0.000015487307,0.0001372384,0.000011855757,0.0006216261],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996069,0.00013621956,0.000027426626,0.000046269746,0.0001258288,0.000057380577],"domain_scores_gemma":[0.9992047,0.00035338933,0.000048676255,0.000094877985,0.00024771784,0.00005054728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006333855,0.00070386915,0.000720136,0.00073487044,0.00036678914,0.00070126896,0.0007053115,0.00040730456,0.002774891],"category_scores_gemma":[0.0015065883,0.0001610868,0.00043455654,0.0005837298,0.00035438398,0.0014949811,0.0005084879,0.00037628782,0.00027725645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019801895,0.00017009208,0.0037699363,0.00084333116,0.0001707161,0.00041026197,0.00012992365,0.8800546,0.020219378,0.0037880568,0.0011192869,0.08734428],"study_design_scores_gemma":[0.00016151382,0.0051041306,0.010418102,0.00010405178,0.0002785003,0.0006673329,0.0008311328,0.93033177,0.040833015,0.0046864785,0.0065073716,0.000076616954],"about_ca_topic_score_codex":0.0010719529,"about_ca_topic_score_gemma":0.0021584353,"teacher_disagreement_score":0.002774891,"about_ca_system_score_codex":0.0004831202,"about_ca_system_score_gemma":0.00023770983,"threshold_uncertainty_score":0.009282947},"labels":[],"label_agreement":null},{"id":"W2481360057","doi":"10.1109/itec.2016.7520188","title":"Dynamic analysis of a Li-Iron Phosphate cell using the electro-chemical modelling approach","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Lithium iron phosphate; State of charge; Battery (electricity); Parameterized complexity; Electrode; Computer science; Voltage; Genetic algorithm; Particle (ecology); Diffusion; Control theory (sociology); Simulation; Algorithm; Biological system; Chemistry; Engineering; Electrical engineering; Electrochemistry; Artificial intelligence; Physics; Control (management); Thermodynamics","score_opus":0.016398057426419095,"score_gpt":0.2470341086949341,"score_spread":0.23063605126851502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2481360057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7209575,0.00052703754,0.25179046,0.00042914445,0.00005094564,0.0001094047,0.0004823501,0.00045414915,0.025198985],"genre_scores_gemma":[0.99208015,0.00017820946,0.004487859,0.000020237492,0.0000038353705,0.00005667437,0.000092797025,0.000010467999,0.0030697703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999646,0.0000048431566,0.0000020108594,0.000007132435,0.000015685082,0.000005628988],"domain_scores_gemma":[0.9999553,0.000020086796,0.000006627259,0.0000043508244,0.000010904912,0.0000027615963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007715751,0.00028054378,0.00033074312,0.00019857081,0.00023146851,0.00040088652,0.00040449057,0.0005922071,0.0012604065],"category_scores_gemma":[0.0001994994,0.00015647858,0.00042204835,0.00017296923,0.00023332931,0.00032528417,0.0002180243,0.00028090697,0.00017067477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024082294,0.000015975473,0.0005523459,0.000026716682,0.000010397015,0.00010627157,0.00003248285,0.98175645,0.013138179,0.0010385207,0.00008841221,0.0032102605],"study_design_scores_gemma":[0.0000018449944,0.000010733749,0.00019192575,0.0000011511103,0.0000018502786,0.000010794449,0.000005217042,0.99817836,0.0012841447,0.00013174897,0.00018015952,0.0000020575196],"about_ca_topic_score_codex":0.008296065,"about_ca_topic_score_gemma":0.0041856393,"teacher_disagreement_score":0.008296065,"about_ca_system_score_codex":0.00038970006,"about_ca_system_score_gemma":0.00040933344,"threshold_uncertainty_score":0.016495585},"labels":[],"label_agreement":null},{"id":"W2482878703","doi":"10.1109/itec.2016.7520206","title":"Efficient multi-cell SOC estimation for electrified vehicle battery packs","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Estimator; Battery pack; State of charge; Battery (electricity); Computer science; Voltage; Computational complexity theory; Mathematical optimization; Control theory (sociology); Automotive engineering; Algorithm; Engineering; Mathematics; Electrical engineering; Statistics; Power (physics); Artificial intelligence","score_opus":0.01902946979019569,"score_gpt":0.26970964262698144,"score_spread":0.25068017283678573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2482878703","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08705688,0.0003332988,0.9099445,0.000058915208,0.000023707724,0.000033780412,0.00018492398,0.00088316156,0.0014808103],"genre_scores_gemma":[0.8986465,0.00012775848,0.09986502,0.000021551432,0.000014110258,0.00004159126,0.00022971648,0.000045961086,0.0010077783],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986625,0.00003455998,0.000010077614,0.000023343366,0.00004773186,0.000018063007],"domain_scores_gemma":[0.9996586,0.00014105806,0.00004474972,0.00003859654,0.00010360026,0.0000134173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003586792,0.000542984,0.00060988625,0.00063971616,0.00023448479,0.0006692089,0.0005067987,0.00032138109,0.00097447593],"category_scores_gemma":[0.0011819584,0.00034021196,0.0002988637,0.0004885,0.00013199137,0.0007630137,0.0005308487,0.00028567505,0.0003056606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016505548,0.000030050809,0.0025756382,0.00007140399,0.000038121227,0.000095285846,0.000053667187,0.85990316,0.012029303,0.0013570329,0.0006008308,0.123080455],"study_design_scores_gemma":[0.0000024013707,0.000017375443,0.00039628195,0.000002797403,0.0000034415668,0.000013114447,0.000009737412,0.9964211,0.0024584455,0.00048510992,0.00018546413,0.0000046951363],"about_ca_topic_score_codex":0.0025017492,"about_ca_topic_score_gemma":0.0041350536,"teacher_disagreement_score":0.0025017492,"about_ca_system_score_codex":0.00033691587,"about_ca_system_score_gemma":0.00036270605,"threshold_uncertainty_score":0.0049743056},"labels":[],"label_agreement":null},{"id":"W2483992065","doi":"10.1109/pedg.2016.7527038","title":"A bi-directional AC-DC converter for electric vehicle with no electrolytic capacitor","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Electrolytic capacitor; Capacitor; Ripple; Film capacitor; Electrical engineering; Materials science; Computer science; Electronic engineering; Engineering; Voltage","score_opus":0.008920054020996458,"score_gpt":0.2234965312403711,"score_spread":0.21457647721937465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2483992065","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10013507,0.0026006876,0.85823315,0.00047030541,0.000886554,0.00059165404,0.0005401584,0.005099779,0.031442605],"genre_scores_gemma":[0.849082,0.0011913877,0.12410317,0.0003029616,0.00013945333,0.0002686857,0.00053235446,0.000107685875,0.024272336],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997663,0.00001523786,0.00001465113,0.000053662494,0.00013031055,0.000019913035],"domain_scores_gemma":[0.9998729,0.000009228981,0.0000086816235,0.00001383174,0.00008343898,0.000011907773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011706828,0.0004780311,0.00052745355,0.0003437323,0.00049716583,0.0007511822,0.0015015011,0.0004825058,0.0039264215],"category_scores_gemma":[0.00013334051,0.00022217876,0.00029681186,0.000399647,0.00013126252,0.00069802144,0.00024246273,0.00063338736,0.0015433567],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037253773,0.00036739063,0.0008897202,0.0010730898,0.000109693196,0.000571785,0.000120483935,0.008932238,0.59977514,0.006425234,0.008844257,0.37251842],"study_design_scores_gemma":[0.00042017424,0.0026886933,0.0060388395,0.00012624403,0.00034696973,0.0058565275,0.00016978105,0.3379121,0.5050314,0.0031345312,0.13808827,0.00018645066],"about_ca_topic_score_codex":0.0011385157,"about_ca_topic_score_gemma":0.0021279368,"teacher_disagreement_score":0.0039264215,"about_ca_system_score_codex":0.0003160645,"about_ca_system_score_gemma":0.00053186086,"threshold_uncertainty_score":0.013135195},"labels":[],"label_agreement":null},{"id":"W2485159264","doi":"10.1109/itec.2016.7520301","title":"Modeling, parameterization, and state of charge estimation of Li-Ion cells using a circuit model","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Equivalent circuit; State of charge; Extended Kalman filter; Control theory (sociology); Estimator; Parametric statistics; Kalman filter; Estimation theory; Battery (electricity); Voltage; Computer science; System identification; Particle swarm optimization; RC circuit; Capacitor; Algorithm; Engineering; Data modeling; Mathematics; Power (physics); Statistics; Physics","score_opus":0.03823517601312936,"score_gpt":0.26932193741218524,"score_spread":0.23108676139905587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2485159264","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018395307,0.00021621652,0.97840023,0.00005758841,0.000018254104,0.000052884767,0.00016940742,0.0007491741,0.0019409993],"genre_scores_gemma":[0.8689405,0.00088315667,0.12276124,0.000053809643,0.000029631694,0.00032564928,0.000630538,0.00011541069,0.0062601455],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998492,0.00001976007,0.000012284398,0.00004284586,0.00006411965,0.0000117133495],"domain_scores_gemma":[0.9998516,0.000052673946,0.000023730394,0.000027049475,0.000041432075,0.000003467074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019742695,0.00057622907,0.0005005398,0.0004432364,0.0002467567,0.00074009714,0.0008856327,0.00072193495,0.001418458],"category_scores_gemma":[0.00065590825,0.00028516699,0.00062949216,0.00032594413,0.00023546942,0.001015051,0.0002855356,0.0006101871,0.00046397484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039879942,0.000032812983,0.0013220235,0.00014246581,0.000034974433,0.000086867134,0.000081479935,0.91697776,0.031394508,0.0041360124,0.00041794896,0.045333184],"study_design_scores_gemma":[0.0000046763203,0.00003510667,0.0005333672,0.000007667998,0.000015172635,0.000044220564,0.000008596584,0.98941994,0.007235713,0.0008228355,0.0018635165,0.000009144665],"about_ca_topic_score_codex":0.005368383,"about_ca_topic_score_gemma":0.0042257104,"teacher_disagreement_score":0.005368383,"about_ca_system_score_codex":0.0005080652,"about_ca_system_score_gemma":0.00064976636,"threshold_uncertainty_score":0.010674298},"labels":[],"label_agreement":null},{"id":"W2490975032","doi":"10.1109/itec.2016.7520259","title":"Battery voltage optimization of a variable DC bus voltage control powertrain for medium duty delivery trucks for various drive cycles","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Powertrain; Battery (electricity); Duty cycle; Automotive engineering; Voltage; Truck; Driving cycle; Automotive battery; Inverter; Modulation index; Computer science; Electrical engineering; Regenerative brake; Electric vehicle; Engineering; Torque; Power (physics); Brake","score_opus":0.009191585126610623,"score_gpt":0.23495538324221962,"score_spread":0.225763798115609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2490975032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94705534,0.00031441863,0.041348502,0.00011376286,0.000018286824,0.000085662905,0.00009619241,0.00013663317,0.010831199],"genre_scores_gemma":[0.99681634,0.00004582956,0.002111533,0.0000068120207,0.0000012771145,0.000021162645,0.00003692524,0.000011149356,0.00094901986],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993,0.000008857117,0.000004766801,0.000010784132,0.000027044942,0.000018532224],"domain_scores_gemma":[0.99990785,0.000027185946,0.000012359175,0.000004753721,0.000040200455,0.0000076593915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018879709,0.0003342171,0.0003005556,0.00036581262,0.00023977578,0.00067777693,0.0003584787,0.00024444808,0.0015566258],"category_scores_gemma":[0.00036199187,0.0001379145,0.00021563748,0.00033476047,0.00012484977,0.00026267723,0.00018692242,0.00024557076,0.00015756513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080831494,0.00047564134,0.0040482255,0.0005053219,0.0000924585,0.00033384102,0.00025902202,0.7896361,0.09936454,0.002890997,0.0013600666,0.10022551],"study_design_scores_gemma":[0.00007676378,0.001237329,0.0046170214,0.00001873318,0.00005445558,0.000059158065,0.00019024166,0.9545649,0.036044776,0.0007905152,0.002324206,0.000021847402],"about_ca_topic_score_codex":0.003090682,"about_ca_topic_score_gemma":0.0050987247,"teacher_disagreement_score":0.003090682,"about_ca_system_score_codex":0.00046274558,"about_ca_system_score_gemma":0.00037296163,"threshold_uncertainty_score":0.006145358},"labels":[],"label_agreement":null},{"id":"W2493871338","doi":"10.1109/acc.2016.7525608","title":"Hysteresis in PDE model of a Li-ion battery","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hysteresis; Lithium (medication); Battery (electricity); Voltage; Ion; Materials science; Work (physics); Energy storage; Lithium-ion battery; Open-circuit voltage; Electrical engineering; Chemistry; Physics; Engineering; Thermodynamics; Condensed matter physics; Power (physics)","score_opus":0.0266082441076131,"score_gpt":0.25162287558264745,"score_spread":0.22501463147503437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2493871338","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26675016,0.0077191973,0.47824666,0.004426046,0.0011999309,0.00034792698,0.0038161955,0.00084146915,0.23665252],"genre_scores_gemma":[0.93989563,0.0020557856,0.008771883,0.0004424111,0.00017348496,0.00026921896,0.000717239,0.00007135021,0.047603022],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998591,0.000028032897,0.000011017633,0.000037184975,0.000039912527,0.000024714185],"domain_scores_gemma":[0.9998098,0.00007427425,0.00002494918,0.000016441767,0.000053462183,0.000021062378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019964042,0.000493087,0.0009711281,0.0004308948,0.0005122796,0.0014991215,0.0013608367,0.0024054137,0.0065314635],"category_scores_gemma":[0.0007836146,0.00030269392,0.0007654772,0.00046056506,0.0007937559,0.0012336287,0.00086045207,0.001107435,0.000601546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000094796604,0.00009041476,0.001603363,0.0002647105,0.0000502298,0.000682808,0.00024795657,0.89369935,0.009745073,0.08449875,0.003017957,0.0060045407],"study_design_scores_gemma":[0.000014948694,0.000021437536,0.0002810832,0.000010806829,0.000007648295,0.000063216976,0.000020381725,0.9920827,0.00023757777,0.0057946304,0.0014553964,0.000010103629],"about_ca_topic_score_codex":0.008902123,"about_ca_topic_score_gemma":0.00293648,"teacher_disagreement_score":0.008902123,"about_ca_system_score_codex":0.00069715624,"about_ca_system_score_gemma":0.00063693256,"threshold_uncertainty_score":0.02184999},"labels":[],"label_agreement":null},{"id":"W2495099137","doi":"10.1016/j.jpowsour.2016.07.036","title":"Review of simplified Pseudo-two-Dimensional models of lithium-ion batteries","year":2016,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":562,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Battery (electricity); Lithium (medication); Mathematical model; Lithium-ion battery; Engineering; Control engineering; Computer science; Power (physics); Mathematics","score_opus":0.021452956316263073,"score_gpt":0.27781668561434264,"score_spread":0.25636372929807955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2495099137","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013911685,0.7022152,0.2085429,0.004370014,0.0031366162,0.00011692222,0.0018592037,0.0005482509,0.06529924],"genre_scores_gemma":[0.17953937,0.73793143,0.043129165,0.0015785837,0.0025326312,0.0003626265,0.0025336412,0.00021935673,0.032173183],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99980813,0.000053907206,0.000027416065,0.000023789658,0.00007251151,0.000014257286],"domain_scores_gemma":[0.9997943,0.000079230565,0.000017596192,0.000028153783,0.000070358394,0.000010361467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039352494,0.001047964,0.0015577362,0.001104303,0.00035937192,0.0012505202,0.0027932795,0.001067376,0.003095668],"category_scores_gemma":[0.0009286512,0.00039309636,0.0011106135,0.002202479,0.00073411904,0.002136457,0.0007408215,0.0009857771,0.0018815293],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011943162,0.0000769797,0.0003522353,0.0064092577,0.00016010582,0.00044086514,0.0001601704,0.18438277,0.0039512906,0.6265818,0.031740174,0.14562495],"study_design_scores_gemma":[0.000035229627,0.000072696595,0.0004191701,0.000797278,0.0001298633,0.0008120053,0.00007943148,0.26374125,0.0017594926,0.3953087,0.33672485,0.00011996324],"about_ca_topic_score_codex":0.0014950437,"about_ca_topic_score_gemma":0.0012397392,"teacher_disagreement_score":0.003095668,"about_ca_system_score_codex":0.00088400516,"about_ca_system_score_gemma":0.00070042635,"threshold_uncertainty_score":0.010356009},"labels":[],"label_agreement":null},{"id":"W2495398433","doi":"10.1109/itec.2016.7520298","title":"On the design of a direct cell coupled hybrid energy storage system for plug-in hybrid electric vehicles","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canada Excellence Research Chairs, Government of Canada; Canada Research Chairs","keywords":"Supercapacitor; Energy storage; Battery pack; Battery (electricity); Automotive engineering; Electric vehicle; Hybrid power; Power (physics); Limiting; Engineering; Electrical engineering; Computer science; Mechanical engineering; Capacitance; Electrode","score_opus":0.014999324403135134,"score_gpt":0.2175544762631716,"score_spread":0.20255515186003645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2495398433","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07247545,0.0002968605,0.9122596,0.000121550926,0.000053941956,0.00027787348,0.00010460143,0.0006298985,0.013780238],"genre_scores_gemma":[0.8156432,0.0002728548,0.17492232,0.000083255785,0.000030004512,0.0003740297,0.00014639086,0.00006549839,0.008462368],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988985,0.000020191304,0.000005928985,0.000019923931,0.000049815557,0.0000141821665],"domain_scores_gemma":[0.9999194,0.000017336033,0.000011895171,0.000008085897,0.000036693455,0.000006475927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019298137,0.00041610122,0.00038866422,0.0002660382,0.0003911253,0.00065573293,0.00087224005,0.00048284372,0.0026427286],"category_scores_gemma":[0.00019321243,0.000295486,0.00033909242,0.0001935434,0.00024397028,0.0004855305,0.00044106913,0.00029110265,0.000651388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017696717,0.000115022034,0.0016271673,0.00059344876,0.0001747692,0.00044368405,0.00023744415,0.7499361,0.11495907,0.013141719,0.0019050611,0.11668958],"study_design_scores_gemma":[0.000034201654,0.000721648,0.000699629,0.000021142487,0.00007116439,0.00017593091,0.00007274605,0.97073,0.0169934,0.0022400217,0.008222594,0.000017501996],"about_ca_topic_score_codex":0.00082823145,"about_ca_topic_score_gemma":0.0018836512,"teacher_disagreement_score":0.0026427286,"about_ca_system_score_codex":0.0002423465,"about_ca_system_score_gemma":0.00047075396,"threshold_uncertainty_score":0.008840799},"labels":[],"label_agreement":null},{"id":"W2500432329","doi":"10.1109/itec.2016.7520302","title":"Comparison of Kalman Filter-based state of charge estimation strategies for Li-Ion batteries","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Extended Kalman filter; Kalman filter; State of charge; Robustness (evolution); State of health; Battery (electricity); Control theory (sociology); Electric vehicle; Powertrain; Automotive engineering; Battery pack; Computer science; Engineering; Power (physics); Artificial intelligence","score_opus":0.042462766813277486,"score_gpt":0.3325988287965116,"score_spread":0.2901360619832341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2500432329","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15812868,0.004018821,0.828569,0.00021113035,0.00015493705,0.000098246455,0.00012069548,0.0014264564,0.007272094],"genre_scores_gemma":[0.9631631,0.0009176416,0.03421565,0.00004864695,0.000017474815,0.00006409773,0.00012307672,0.000032077718,0.0014182964],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961627,0.000084246945,0.000052003372,0.00006211352,0.00013837722,0.000047021695],"domain_scores_gemma":[0.99875534,0.00062886556,0.00009674784,0.00006278732,0.000435466,0.000020731673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010141796,0.00059458986,0.0007259207,0.00060774194,0.00030553035,0.0007466079,0.00062467146,0.0007815351,0.0010408994],"category_scores_gemma":[0.0032685162,0.00021067704,0.00033932104,0.0003984732,0.00019044764,0.0009943268,0.00031969513,0.00031862225,0.00027137005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011977884,0.00012485772,0.004634554,0.00047956337,0.00021807784,0.000088018525,0.00027338954,0.6222455,0.008929619,0.0037622089,0.0011741155,0.35687223],"study_design_scores_gemma":[0.000039967705,0.00019504981,0.0026614764,0.000028064906,0.00005932661,0.000038987684,0.000050516734,0.98898405,0.0061984514,0.0005119375,0.0012078345,0.000024422543],"about_ca_topic_score_codex":0.016246742,"about_ca_topic_score_gemma":0.009096201,"teacher_disagreement_score":0.016246742,"about_ca_system_score_codex":0.0005939,"about_ca_system_score_gemma":0.0008210764,"threshold_uncertainty_score":0.032304347},"labels":[],"label_agreement":null},{"id":"W2503570055","doi":"10.1109/itec.2016.7520192","title":"The SOH estimation of LiFePO4 battery based on internal resistance with Grey Markov Chain","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Internal resistance; State of health; Battery (electricity); Markov chain; Computer science; Powertrain; Voltage; Power (physics); Reliability engineering; Engineering; Electrical engineering; Machine learning","score_opus":0.007430225970054039,"score_gpt":0.23088719335935842,"score_spread":0.22345696738930437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2503570055","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19875333,0.00060032716,0.79329324,0.00028563506,0.000049918646,0.000065104956,0.00026330116,0.0010469636,0.005642182],"genre_scores_gemma":[0.9867351,0.00020200948,0.011716861,0.000027427357,0.000011403021,0.00003123476,0.00016662724,0.00002402401,0.0010852972],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981207,0.000031265165,0.000010582413,0.00005159013,0.000070916816,0.000023531324],"domain_scores_gemma":[0.9995382,0.0002159183,0.00004998221,0.000027313497,0.00015078187,0.000017914954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030743078,0.0004522516,0.0005698014,0.00058449723,0.000302287,0.0005241772,0.0006373206,0.00040069816,0.0012648399],"category_scores_gemma":[0.0012257741,0.00028315056,0.0005585534,0.00041797568,0.00028899027,0.00087516784,0.0004159378,0.00040542072,0.00025601473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011816777,0.000031960528,0.0052076024,0.000107461725,0.000046584275,0.00012238116,0.000097462434,0.9471192,0.0060089547,0.0023261826,0.000781387,0.038032666],"study_design_scores_gemma":[0.00000155737,0.000005978544,0.00034267598,0.000002033845,0.000003966138,0.0000075980283,0.000003596706,0.9984856,0.00061836554,0.0004621972,0.00006251849,0.000003877301],"about_ca_topic_score_codex":0.01369626,"about_ca_topic_score_gemma":0.009288487,"teacher_disagreement_score":0.01369626,"about_ca_system_score_codex":0.00073083723,"about_ca_system_score_gemma":0.0005402188,"threshold_uncertainty_score":0.027233064},"labels":[],"label_agreement":null},{"id":"W2507866369","doi":"10.1149/ma2016-02/4/606","title":"Determination of Mass Transfer Properties and Ionic Association in LiPF<sub>6</sub> - Organic Carbonates Solutions from PFG-NMR and Specific Conductivity Data","year":2016,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"","keywords":"Chemistry; Ethylene carbonate; Diffusion; Salt (chemistry); Ion; Ion-association; Dimethyl carbonate; Inorganic chemistry; Conductivity; Analytical Chemistry (journal); Ionic bonding; Ionic conductivity; Physical chemistry; Thermodynamics; Organic chemistry; Electrolyte","score_opus":0.04624596832926926,"score_gpt":0.23530956422298607,"score_spread":0.1890635958937168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2507866369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99411654,0.0005043131,0.0038810552,0.0000670332,0.000010656664,0.000015420106,0.00034009866,0.000039751172,0.0010251292],"genre_scores_gemma":[0.9926715,0.000618948,0.005476962,0.000030111556,0.000005370267,0.00003320469,0.0002543617,0.000013659472,0.0008958849],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998776,0.000015983931,0.00000926861,0.000029368739,0.000047204474,0.00002051849],"domain_scores_gemma":[0.9996978,0.00013726311,0.0000749056,0.000012534419,0.000060741335,0.000016679336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027039717,0.00027213697,0.00017655379,0.00033632776,0.00020686381,0.00027166438,0.00021232259,0.0002774365,0.0013066436],"category_scores_gemma":[0.0006664066,0.00009547571,0.00012049569,0.0002477695,0.00028217258,0.00036990104,0.00016183134,0.0003459278,0.00021421553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005226422,0.0000063479256,0.00045866496,0.000038081962,0.0000022871088,0.000026147629,0.000029805278,0.00014498136,0.9977234,0.000068124646,0.000026118369,0.0014238167],"study_design_scores_gemma":[0.0000026354442,0.000043551925,0.0018140535,0.0000032202984,0.0000040340005,0.00004449009,0.000020647809,0.00097362907,0.9967092,0.00002835678,0.00035057066,0.000005570612],"about_ca_topic_score_codex":0.0009963561,"about_ca_topic_score_gemma":0.0007703779,"teacher_disagreement_score":0.0013066436,"about_ca_system_score_codex":0.00032078812,"about_ca_system_score_gemma":0.00012448517,"threshold_uncertainty_score":0.004371166},"labels":[],"label_agreement":null},{"id":"W2508495335","doi":"10.1109/icphm.2016.7542870","title":"Data-driven prognostic techniques for estimation of the remaining useful life of lithium-ion batteries","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Mean squared error; Computer science; Artificial neural network; Battery (electricity); Random forest; Data modeling; Data mining; Reliability engineering; Machine learning; Statistics; Engineering; Mathematics","score_opus":0.0472451700839729,"score_gpt":0.3065705873364849,"score_spread":0.259325417252512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2508495335","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.077124074,0.001376599,0.91903955,0.00014255852,0.00007683542,0.000058751688,0.00026458123,0.0010349671,0.00088210235],"genre_scores_gemma":[0.8966627,0.0007912404,0.10166591,0.000048225622,0.000044483957,0.000075756834,0.000324411,0.000025003501,0.00036222776],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996246,0.00007172734,0.000040235736,0.000055940425,0.00018825542,0.000019164017],"domain_scores_gemma":[0.9986028,0.0006131767,0.0002135085,0.00009728872,0.000455012,0.000018211209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009970488,0.0008617514,0.00065534614,0.0011870752,0.00027759394,0.00055064075,0.0006727884,0.00050406804,0.00036242866],"category_scores_gemma":[0.0041438737,0.00021842818,0.00046966365,0.00092410913,0.00017750819,0.001120294,0.000329785,0.00073785137,0.00013884211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017412253,0.000091945425,0.005761996,0.00024370558,0.00008959555,0.00014584573,0.00010608306,0.7311127,0.015199648,0.0013877077,0.0005613322,0.24512531],"study_design_scores_gemma":[0.000006017321,0.000058330857,0.001594998,0.000023592647,0.00001825353,0.00005783416,0.000019101206,0.9897399,0.006818694,0.0012043115,0.00043966138,0.000019231238],"about_ca_topic_score_codex":0.002318179,"about_ca_topic_score_gemma":0.0022862495,"teacher_disagreement_score":0.002318179,"about_ca_system_score_codex":0.00033065103,"about_ca_system_score_gemma":0.00040044897,"threshold_uncertainty_score":0.0052729845},"labels":[],"label_agreement":null},{"id":"W2509058855","doi":"10.1149/ma2016-02/1/17","title":"Development and Implementation of Lithium-Ion Battery Performance and Capacity Fade Models for Resource Planning Tools","year":2016,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fade; Battery (electricity); Energy storage; Computer science; Sizing; Depth of discharge; Lithium-ion battery; Linear programming; Optimization problem; Nonlinear system; Reliability engineering; Mathematical optimization; Engineering; Algorithm; Power (physics); Mathematics","score_opus":0.0492981918218695,"score_gpt":0.28344310751392143,"score_spread":0.23414491569205192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2509058855","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0052890214,0.00026543406,0.9718954,0.00040146406,0.00006957238,0.00026689767,0.00096387626,0.0015833249,0.019265072],"genre_scores_gemma":[0.24633588,0.0011541352,0.73624873,0.0002548775,0.000072895455,0.0014039429,0.0021687078,0.0007470196,0.01161386],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941957,0.00014358749,0.00003930195,0.000061002225,0.0002712556,0.00006525687],"domain_scores_gemma":[0.99820805,0.0008955996,0.00018414774,0.00014584632,0.0004990102,0.00006723569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014370716,0.0013476375,0.00075351866,0.0008649613,0.0005038127,0.0017395564,0.003418122,0.0011445503,0.010131368],"category_scores_gemma":[0.0044927183,0.0009430854,0.0011717097,0.001070255,0.0003989584,0.0017699207,0.0010514265,0.002313567,0.0017654409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009387621,0.000030290515,0.00020375238,0.00006140693,0.0000111857635,0.000030288902,0.000019330768,0.9732019,0.00031029797,0.012967486,0.0013416031,0.011813023],"study_design_scores_gemma":[0.0000034677566,0.0000067256087,0.000030079973,0.000018163197,0.0000031827842,0.0000061670876,0.0000066792168,0.9936287,0.00045685642,0.0028860036,0.0029489582,0.000004888474],"about_ca_topic_score_codex":0.01972407,"about_ca_topic_score_gemma":0.018754633,"teacher_disagreement_score":0.01972407,"about_ca_system_score_codex":0.0023957528,"about_ca_system_score_gemma":0.0035602702,"threshold_uncertainty_score":0.039218545},"labels":[],"label_agreement":null},{"id":"W2509717588","doi":"10.1149/2.1081610jes","title":"Development of a Liquid Cooled Battery Module","year":2016,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Motors (Canada)","funders":"","keywords":"Battery (electricity); Liquid metal; Duct (anatomy); Battery pack; Computer cooling; Lithium-ion battery; Materials science; Thermal; Nuclear engineering; Inlet; Mechanical engineering; Automotive engineering; Engineering; Composite material; Thermodynamics; Thermal management of electronic devices and systems; Physics; Power (physics)","score_opus":0.010120446338230074,"score_gpt":0.2382678920773027,"score_spread":0.22814744573907264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2509717588","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26770508,0.0012141401,0.69535255,0.00028936897,0.00027208004,0.0006737482,0.0005583492,0.002267752,0.03166692],"genre_scores_gemma":[0.66363424,0.001409298,0.30645648,0.00014747452,0.00006362065,0.0006173189,0.00083957723,0.0003968377,0.026435176],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978954,0.000014480431,0.000009467336,0.0000324555,0.0001316514,0.000022384438],"domain_scores_gemma":[0.9998938,0.0000065326785,0.000010647918,0.000009231744,0.000067092995,0.000012759614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002271839,0.00025889472,0.0003544524,0.0002789345,0.00024707217,0.00037954352,0.0007114236,0.000370842,0.0021658186],"category_scores_gemma":[0.00025234258,0.00021893776,0.0003919265,0.00019836721,0.00013936551,0.00056193914,0.0003745797,0.00040795156,0.0011955547],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008003269,0.00010853172,0.0012972878,0.00060782186,0.00003818191,0.00043132564,0.00016212904,0.034267902,0.86298305,0.0076658064,0.002281025,0.09007689],"study_design_scores_gemma":[0.000050416907,0.00092038687,0.002340259,0.000058753973,0.000052102707,0.0007819137,0.000060874452,0.11116487,0.79350305,0.000748509,0.09026253,0.000056330435],"about_ca_topic_score_codex":0.0005436741,"about_ca_topic_score_gemma":0.0007353254,"teacher_disagreement_score":0.0021658186,"about_ca_system_score_codex":0.00031081995,"about_ca_system_score_gemma":0.0008524875,"threshold_uncertainty_score":0.0072454214},"labels":[],"label_agreement":null},{"id":"W2510313524","doi":"10.1149/ma2016-02/4/530","title":"Low Temperature Electrolytes in High Specific Energy 18650 Li-Ion Cells for Future NASA Missions","year":2016,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"E-One Moli Energy (Canada)","funders":"","keywords":"Range (aeronautics); Lithium (medication); Aerospace engineering; Environmental science; Jupiter (rocket family); Electrolyte; Saturn; Energy storage; Battery (electricity); Materials science; Astrobiology; Propulsion; Nuclear engineering; Specific energy; Engineering physics; Planet; Space exploration; Physics; Engineering","score_opus":0.00766433742177519,"score_gpt":0.22310062041490503,"score_spread":0.21543628299312984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2510313524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75466937,0.044381697,0.05639162,0.0032695336,0.002440313,0.00040216796,0.0023151909,0.002695695,0.13343436],"genre_scores_gemma":[0.9025253,0.0142662255,0.037924435,0.0006418464,0.00014411738,0.0002041723,0.0019357553,0.00025053005,0.042107582],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988997,0.000008406673,0.000011369347,0.000014671862,0.000060464812,0.000015210415],"domain_scores_gemma":[0.99992144,0.00000896689,0.000014824805,0.0000077154045,0.000034243054,0.0000128536685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000249975,0.00027755715,0.00020939019,0.00031278576,0.00022631112,0.0008277924,0.000723071,0.0005831056,0.005225928],"category_scores_gemma":[0.0003404764,0.00017188971,0.00021844482,0.00046817967,0.0001789952,0.0011122243,0.00039825274,0.00054496696,0.003361305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048077368,0.00022155477,0.0017861855,0.0008495666,0.000022276994,0.00043915666,0.00013430852,0.0036116913,0.8417007,0.009344338,0.010537821,0.13087156],"study_design_scores_gemma":[0.00009337462,0.0011545307,0.002820577,0.00017342991,0.000052833948,0.00080765894,0.00017464784,0.007413754,0.79941326,0.002125378,0.1857144,0.000056207668],"about_ca_topic_score_codex":0.00072896824,"about_ca_topic_score_gemma":0.0019836663,"teacher_disagreement_score":0.005225928,"about_ca_system_score_codex":0.00055901066,"about_ca_system_score_gemma":0.0003221587,"threshold_uncertainty_score":0.01748246},"labels":[],"label_agreement":null},{"id":"W2511045891","doi":"10.1149/ma2016-02/3/272","title":"(Battery Division Technology Award) Some Directions for Performance Improvement of Li-Ion Batteries out of Usual Paths","year":2016,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Electrolyte; Electrode; Surface modification; Materials science; Battery (electricity); Chemical engineering; Oxide; Energy storage; Anode; Redox; Carbon fibers; Nanotechnology; Intercalation (chemistry); Electrochemistry; Covalent bond; Inorganic chemistry; Chemistry; Organic chemistry; Composite number; Composite material","score_opus":0.01583980362773144,"score_gpt":0.262496425570918,"score_spread":0.24665662194318658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2511045891","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042523337,0.0049139885,0.0037675279,0.0725808,0.037914384,0.0005933399,0.0068273083,0.0015236929,0.8676267],"genre_scores_gemma":[0.0039065853,0.001339951,0.0010644395,0.00392308,0.0014590403,0.00009074082,0.0022928852,0.00022566518,0.9856976],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990728,0.00006560056,0.00005239608,0.00010195862,0.0005414434,0.00016583281],"domain_scores_gemma":[0.99857783,0.000068786336,0.00003727784,0.00009487708,0.00076891127,0.00045232728],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018448734,0.00069781765,0.00047159742,0.00087184197,0.0008499155,0.002861368,0.0010838247,0.0032486105,0.3764309],"category_scores_gemma":[0.0014122442,0.000271909,0.00046264214,0.00064457237,0.00027485035,0.0019991524,0.0013692896,0.0021574693,0.27680993],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014081034,0.00011965963,0.00030735353,0.00008770078,0.0000071984787,0.00012813129,0.000016404072,0.000109791385,0.0024411306,0.0075163366,0.89563686,0.09348863],"study_design_scores_gemma":[0.000025736179,0.000076562006,0.00046431276,0.000024839434,0.000002613073,0.000057410914,0.000012875448,0.0001449364,0.00032916744,0.0008230144,0.9980344,0.000004095813],"about_ca_topic_score_codex":0.0010343948,"about_ca_topic_score_gemma":0.0028741537,"teacher_disagreement_score":0.3764309,"about_ca_system_score_codex":0.0013198678,"about_ca_system_score_gemma":0.0026645316,"threshold_uncertainty_score":0.88944566},"labels":[],"label_agreement":null},{"id":"W2511785178","doi":"10.1149/ma2016-02/53/3951","title":"Electrochemical Impedance Spectroscopy (EIS) to Diagnose the Effect of Particle Morphology and As a Tool to Model the Aging Process of Li Batteries","year":2016,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Materials science; Lithium iron phosphate; Dielectric spectroscopy; Anode; Lithium (medication); Cathode; Electrolyte; Electrode; Nanoparticle; Chemical engineering; Particle (ecology); Carbon fibers; Particle size; Electrochemistry; Nanotechnology; Composite material; Chemistry; Composite number","score_opus":0.007459086650514712,"score_gpt":0.2788673147046706,"score_spread":0.2714082280541559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2511785178","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21705264,0.019111456,0.7415464,0.000715033,0.0009155971,0.00035954456,0.0038883328,0.006590532,0.00982052],"genre_scores_gemma":[0.75825214,0.0148712825,0.21517144,0.00048393407,0.00032841065,0.0003367498,0.0017520398,0.0002427596,0.00856124],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994265,0.00011801572,0.00004092627,0.00009630766,0.0002972534,0.00002097224],"domain_scores_gemma":[0.99939823,0.00023804377,0.0001029345,0.000064842876,0.00017787878,0.000018028348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007973348,0.001182909,0.00079614826,0.0015144713,0.00014705255,0.0007661288,0.0006277762,0.0012598615,0.0014459795],"category_scores_gemma":[0.001083901,0.0003265469,0.00037389345,0.0014558067,0.00024371245,0.0011651092,0.0003901008,0.00063892617,0.0009569132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029082954,0.00022151473,0.009456488,0.0010805547,0.000116943105,0.0002849161,0.00014130588,0.008106433,0.82427573,0.0013906852,0.0025158774,0.15211877],"study_design_scores_gemma":[0.00005531086,0.0013800221,0.021632073,0.00017045543,0.00024805468,0.0012916528,0.00022096552,0.13109484,0.8039668,0.002799991,0.037025698,0.00011416224],"about_ca_topic_score_codex":0.00027010342,"about_ca_topic_score_gemma":0.00036432897,"teacher_disagreement_score":0.0015144713,"about_ca_system_score_codex":0.00024929977,"about_ca_system_score_gemma":0.00012539704,"threshold_uncertainty_score":0.0048372746},"labels":[],"label_agreement":null},{"id":"W2514085761","doi":"10.1149/ma2016-02/1/140","title":"Rechargeability of Manganese Dioxide-Zinc Batteries","year":2016,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Anode; Alkaline battery; Cathode; Electrochemistry; Electrolyte; Manganese; Zinc; Materials science; Galvanic anode; Inorganic chemistry; Electrode; Chemical engineering; Chemistry; Metallurgy; Cathodic protection","score_opus":0.019803920171738286,"score_gpt":0.2596884064715895,"score_spread":0.23988448629985118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2514085761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878059,0.0023957826,0.0033897343,0.000129257,0.000041895546,0.000028208895,0.00065661507,0.0002199772,0.005332536],"genre_scores_gemma":[0.9966557,0.00061967113,0.00046466247,0.000013528473,0.0000032326454,0.000006060095,0.00029231713,0.000012977972,0.0019318884],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971956,0.000019923273,0.000022816064,0.00006009255,0.00012572482,0.00005195074],"domain_scores_gemma":[0.99992454,0.000019168487,0.000012597812,0.000008926408,0.000026869642,0.000007962999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018707148,0.00044202883,0.00026721417,0.000255461,0.00020822867,0.0005561037,0.00066476874,0.00029811074,0.001653044],"category_scores_gemma":[0.00045890067,0.0001463453,0.00015798515,0.00025645643,0.00012960253,0.00032705226,0.0004407741,0.00024092916,0.0004152168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020164435,0.000014518931,0.0008465572,0.00011205124,0.000008310237,0.0001877332,0.000042029435,0.00056099665,0.9903532,0.0001121667,0.000119540746,0.007441286],"study_design_scores_gemma":[0.000007669005,0.000106016574,0.0017201371,0.000005631069,0.000007644572,0.00012441658,0.000023368775,0.0016302962,0.9942644,0.00005948108,0.0020454836,0.000005445882],"about_ca_topic_score_codex":0.0017340273,"about_ca_topic_score_gemma":0.003088197,"teacher_disagreement_score":0.0017340273,"about_ca_system_score_codex":0.00030077173,"about_ca_system_score_gemma":0.00015961868,"threshold_uncertainty_score":0.0055299997},"labels":[],"label_agreement":null},{"id":"W2517356687","doi":"10.1149/07520.0073ecst","title":"An On-line Electrochemical Parameter Estimation Study of Lithium-Ion Batteries Using Neural Networks","year":2017,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Artificial neural network; Battery (electricity); Electrolyte; Lithium (medication); Electrochemistry; Line (geometry); Diffusion; Estimation theory; Computer science; Electrode; Biological system; Materials science; Control theory (sociology); Algorithm; Thermodynamics; Chemistry; Mathematics; Power (physics); Physics; Artificial intelligence; Physical chemistry","score_opus":0.04140903452556753,"score_gpt":0.3286297983523772,"score_spread":0.28722076382680967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2517356687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6752346,0.0013990323,0.31806564,0.00021200652,0.000045779983,0.00006785797,0.000058992864,0.00040387575,0.004512137],"genre_scores_gemma":[0.98388183,0.00028382323,0.014430892,0.00002522002,0.000011024148,0.000023810526,0.000045775258,0.00001738792,0.00128015],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981326,0.00007084139,0.000013008167,0.000034377656,0.0000532956,0.000015223964],"domain_scores_gemma":[0.9990651,0.0006531873,0.00006591279,0.000040808594,0.00016469076,0.000010300774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063546735,0.00057028094,0.00049370993,0.00029311032,0.00020490744,0.00048181938,0.00041871364,0.00060953904,0.00050320174],"category_scores_gemma":[0.0021118915,0.00018942569,0.0003021703,0.00025101536,0.00018946957,0.00075700256,0.00025178742,0.00040958365,0.00008015814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016395045,0.00012209422,0.004373052,0.00012707248,0.00006400651,0.00014283138,0.00009589063,0.9069467,0.009470367,0.00070611044,0.00023458783,0.077553324],"study_design_scores_gemma":[0.0000010117105,0.000034678098,0.00052529294,0.0000024727965,0.000004379032,0.0000105485615,0.000007994352,0.997736,0.0015321363,0.000069420414,0.00007300656,0.0000030699937],"about_ca_topic_score_codex":0.007274731,"about_ca_topic_score_gemma":0.004359146,"teacher_disagreement_score":0.007274731,"about_ca_system_score_codex":0.00039882626,"about_ca_system_score_gemma":0.00020224029,"threshold_uncertainty_score":0.014464736},"labels":[],"label_agreement":null},{"id":"W2519750949","doi":"10.1149/ma2016-02/3/236","title":"Consumption of Intentionally Added Gas in Lithium-Ion Cells","year":2016,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Electrolyte; Lithium (medication); Electrode; Ion; Graphite; Chemistry; Chemical engineering; Inorganic chemistry; Materials science; Organic chemistry","score_opus":0.022012571302582336,"score_gpt":0.26149400314908355,"score_spread":0.23948143184650122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519750949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98058987,0.0068582376,0.008863296,0.00013810542,0.0001158175,0.00005435986,0.00043361043,0.0003570182,0.0025896444],"genre_scores_gemma":[0.99415684,0.00091178797,0.0031063962,0.00003714456,0.000016434564,0.000030391395,0.00024278768,0.000034657787,0.0014635129],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992754,0.00012092246,0.000047648366,0.00016686041,0.0003149258,0.0000741739],"domain_scores_gemma":[0.99965596,0.000102542515,0.00008579817,0.000053862826,0.000080477796,0.000021390975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003012527,0.00028362556,0.0004577974,0.00029386918,0.00033874557,0.000830291,0.0010421408,0.0005227951,0.0008973167],"category_scores_gemma":[0.00068530877,0.00019703823,0.00020334184,0.00058647996,0.00061337306,0.0007562123,0.00046406462,0.00033501844,0.00028325478],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004209608,0.00007064785,0.00338732,0.0003893589,0.00002580422,0.0003276808,0.00011332146,0.0018709395,0.9792652,0.0007848485,0.00031949842,0.013024495],"study_design_scores_gemma":[0.0000066504685,0.00024538333,0.0011679307,0.000010572164,0.00001911438,0.00018305803,0.000033800483,0.0033977625,0.99124277,0.00011976765,0.0035606036,0.000012599928],"about_ca_topic_score_codex":0.00082306884,"about_ca_topic_score_gemma":0.0009061715,"teacher_disagreement_score":0.0010421408,"about_ca_system_score_codex":0.00089075236,"about_ca_system_score_gemma":0.00021935483,"threshold_uncertainty_score":0.006462872},"labels":[],"label_agreement":null},{"id":"W2523502256","doi":"10.1007/978-3-319-46589-0_2","title":"Real-Time Sliding Mode Observer Estimator Integration in Hybrid Electric Vehicles Battery Management Systems","year":2016,"lang":"en","type":"book-chapter","venue":"Advances in intelligent systems and computing","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"John Abbott College","funders":"","keywords":"State of charge; Estimator; Battery (electricity); Observer (physics); Computer science; MATLAB; Automotive engineering; Automotive industry; Electric vehicle; Engineering; Power (physics); Mathematics","score_opus":0.01794809056236619,"score_gpt":0.2650505255678223,"score_spread":0.24710243500545614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2523502256","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020298183,0.004414775,0.96037066,0.0001383742,0.0004376911,0.000042012896,0.000047419435,0.000950135,0.01330076],"genre_scores_gemma":[0.87950337,0.0037225315,0.07571073,0.00009706002,0.00020872,0.0000920299,0.000260381,0.00011270696,0.040292498],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999856,0.000020051884,0.000013400395,0.000029375387,0.00007121428,0.00001001449],"domain_scores_gemma":[0.9998784,0.000030080366,0.000011045409,0.000016437487,0.00006107664,0.0000029865598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026060478,0.00029892445,0.00046395403,0.0001919989,0.00011908773,0.0007834373,0.0005548204,0.00036628547,0.0019516309],"category_scores_gemma":[0.00040208755,0.00021176376,0.00026415347,0.0002573085,0.00013727044,0.00062017195,0.00030495733,0.00057416526,0.0006410864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002281942,0.00009900281,0.00078138616,0.00046632037,0.00011592332,0.0001501927,0.00022028085,0.18212919,0.035549108,0.01402269,0.006231582,0.76000607],"study_design_scores_gemma":[0.000012280584,0.00014551096,0.0010687155,0.000038119728,0.00003615814,0.000082544204,0.000031664567,0.9710405,0.00902096,0.0031040858,0.015403833,0.000015555488],"about_ca_topic_score_codex":0.0014468038,"about_ca_topic_score_gemma":0.001799239,"teacher_disagreement_score":0.0019516309,"about_ca_system_score_codex":0.00017860087,"about_ca_system_score_gemma":0.00022147827,"threshold_uncertainty_score":0.0065288544},"labels":[],"label_agreement":null},{"id":"W2526462502","doi":"10.32657/10356/51127","title":"Design issues of hybrid power supply systems","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canada Excellence Research Chairs, Government of Canada; Nanyang Technological University","keywords":"Photovoltaic system; Renewable energy; Hybrid system; Hybrid power; Automotive engineering; Wind power; Energy supply; Electric power system; Engineering; Power (physics); Electronics; Fuel cells; Electrical engineering; Power electronics; Electricity generation; Computer science; Energy (signal processing); Systems engineering; Voltage","score_opus":0.016431981441411583,"score_gpt":0.27908342630263155,"score_spread":0.26265144486122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2526462502","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0305139,0.0037433465,0.89866084,0.0008850501,0.0002572496,0.00013383558,0.000079012556,0.0003646768,0.0653621],"genre_scores_gemma":[0.8774223,0.002857234,0.07790491,0.0003273162,0.00028992744,0.00033373182,0.000100672754,0.00011538733,0.04064856],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997483,0.00006934278,0.000011455453,0.000048856673,0.00010815876,0.000013858785],"domain_scores_gemma":[0.9998085,0.0000667963,0.000017701164,0.000017260472,0.00008229926,0.0000074099075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003963813,0.00035779344,0.00034285372,0.00025390572,0.00045582635,0.0016877659,0.0007119638,0.0008147737,0.005645339],"category_scores_gemma":[0.0008467311,0.00032782363,0.00022779968,0.00030275396,0.00039172664,0.0011908953,0.0005237178,0.00044302648,0.0011880203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026981792,0.000100110316,0.00113505,0.0011416483,0.00011892545,0.00052226044,0.0008656335,0.20625551,0.07254931,0.43449777,0.009140134,0.27340382],"study_design_scores_gemma":[0.000115176044,0.000482754,0.0008516532,0.00018835004,0.00009877541,0.0009440176,0.00034365954,0.6523523,0.02394549,0.16437046,0.15625747,0.00004989342],"about_ca_topic_score_codex":0.00039561628,"about_ca_topic_score_gemma":0.00040290153,"teacher_disagreement_score":0.005645339,"about_ca_system_score_codex":0.000476095,"about_ca_system_score_gemma":0.00018321017,"threshold_uncertainty_score":0.018885553},"labels":[],"label_agreement":null},{"id":"W2533018558","doi":"10.1109/pedes.2010.5712518","title":"High-frequency current-fed fuel cell inverter for residential use","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Total harmonic distortion; Inverter; Rectifier (neural networks); Voltage; Stack (abstract data type); Current (fluid); Inductor; Electrical engineering; Diode; Power (physics); Harmonic; Control theory (sociology); Electronic engineering; Engineering; Computer science; Physics","score_opus":0.021842034931262952,"score_gpt":0.272386423828725,"score_spread":0.25054438889746206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2533018558","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19312382,0.002103047,0.68139905,0.0006741052,0.00046444286,0.00023164149,0.0007979054,0.0053834254,0.115822606],"genre_scores_gemma":[0.9084041,0.0011941018,0.062392175,0.00024972262,0.0001401116,0.00007724272,0.0008242186,0.00013188805,0.026586415],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999207,0.000006372247,0.0000035590297,0.000011204298,0.000049035025,0.0000090669],"domain_scores_gemma":[0.99995327,0.000005094814,0.0000034121003,0.0000048712977,0.000029908922,0.0000033865451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004935195,0.0001781267,0.00026753917,0.0002031285,0.00034911477,0.00028600972,0.0005726775,0.00031997357,0.005313833],"category_scores_gemma":[0.00008073187,0.00006291289,0.00018294815,0.00051360804,0.0000772583,0.00040537358,0.00017497591,0.0002993003,0.0016443344],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023670268,0.00024576523,0.0012285883,0.0006102596,0.000040693925,0.0006309267,0.00015495547,0.005016956,0.36239037,0.008772428,0.01311136,0.60756093],"study_design_scores_gemma":[0.00015396326,0.0012472405,0.010651059,0.00012124067,0.00015780963,0.004315481,0.00020645419,0.1486371,0.59155715,0.008233916,0.2346338,0.000084788284],"about_ca_topic_score_codex":0.00055164174,"about_ca_topic_score_gemma":0.0014858023,"teacher_disagreement_score":0.005313833,"about_ca_system_score_codex":0.00021121447,"about_ca_system_score_gemma":0.00019552793,"threshold_uncertainty_score":0.017776549},"labels":[],"label_agreement":null},{"id":"W2534407854","doi":"10.1149/2.0191614jes","title":"An Inverse Method for Estimating the Electrochemical Parameters of Lithium-Ion Batteries","year":2016,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Battery (electricity); Inverse; Sensitivity (control systems); Electrochemistry; Lithium-ion battery; Function (biology); Lithium (medication); Noise (video); Inverse problem; Electrode; Computer science; Materials science; Algorithm; Biological system; Mathematics; Chemistry; Electronic engineering; Engineering; Thermodynamics; Physics; Mathematical analysis; Power (physics)","score_opus":0.015768396389745937,"score_gpt":0.29639629244425725,"score_spread":0.2806278960545113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2534407854","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045690234,0.00023570129,0.9944272,0.000026407099,0.000011141679,0.000018529603,0.00002435712,0.000109191446,0.0005785814],"genre_scores_gemma":[0.29817033,0.0010239283,0.69690573,0.000061262625,0.000032517724,0.00021860984,0.00023982499,0.00008970438,0.0032580493],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996474,0.00012595407,0.00001762985,0.000059164246,0.00013675733,0.000013052145],"domain_scores_gemma":[0.999574,0.00027382092,0.000034224828,0.00003539303,0.00007740034,0.0000051036363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067324436,0.00064550654,0.0005429405,0.00040521187,0.00021762137,0.0005263403,0.00059927104,0.00072089536,0.0007848129],"category_scores_gemma":[0.0025593853,0.0003003133,0.0005824904,0.0005091041,0.00028913855,0.00073713803,0.00045368256,0.0008928312,0.00027821286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010349909,0.000088927794,0.0010849214,0.00042838638,0.000095363655,0.00010699869,0.00011582984,0.7252555,0.042288445,0.0145617025,0.00069471466,0.21517572],"study_design_scores_gemma":[0.0000045052693,0.000033227265,0.00021954333,0.000008333667,0.000011597139,0.000050805265,0.00000791007,0.9904612,0.006225029,0.0018302563,0.0011322481,0.0000154071],"about_ca_topic_score_codex":0.0017227288,"about_ca_topic_score_gemma":0.0013201041,"teacher_disagreement_score":0.0017227288,"about_ca_system_score_codex":0.00027352158,"about_ca_system_score_gemma":0.00062862167,"threshold_uncertainty_score":0.003560543},"labels":[],"label_agreement":null},{"id":"W2538995973","doi":"10.1109/iecon.2008.4757994","title":"A high-performance controllable AC load","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Power factor; AC power; Constant current; Rectifier (neural networks); Constant power circuit; Power (physics); Capacitor; Active load; Electrical impedance; Control theory (sociology); Electrical engineering; Electronic engineering; Engineering; Computer science; Resistor; Current (fluid); Voltage","score_opus":0.01366109829003991,"score_gpt":0.22388612630091145,"score_spread":0.21022502801087153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2538995973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5616539,0.0004237037,0.33190304,0.00076659635,0.0004855758,0.00060135644,0.002131082,0.012699942,0.089334846],"genre_scores_gemma":[0.9728258,0.00008363199,0.013771876,0.00006990847,0.00006251632,0.00014542385,0.0005284737,0.00029630327,0.01221605],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997243,0.000025139881,0.000012661093,0.00005477482,0.00015582019,0.00002734058],"domain_scores_gemma":[0.9996736,0.00006353777,0.000034337565,0.0000648242,0.000120516255,0.000043224252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001329022,0.0004295287,0.0003199046,0.0003565917,0.0003893796,0.0005999817,0.0010795678,0.00039118202,0.008403345],"category_scores_gemma":[0.00042812456,0.0001263379,0.00018058417,0.0003765914,0.00022865791,0.0010644099,0.00046108518,0.00042709228,0.0023365614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010433499,0.0003266986,0.0015590423,0.00046593632,0.00004028789,0.0006108384,0.0002788558,0.012135461,0.8633206,0.010147407,0.013667649,0.09640399],"study_design_scores_gemma":[0.00020020582,0.0012081293,0.002443241,0.000023581024,0.000041831285,0.00064303237,0.000077496596,0.15204328,0.7685819,0.0016810808,0.072971985,0.00008413155],"about_ca_topic_score_codex":0.0006016392,"about_ca_topic_score_gemma":0.00055198837,"teacher_disagreement_score":0.008403345,"about_ca_system_score_codex":0.00036462655,"about_ca_system_score_gemma":0.00022318387,"threshold_uncertainty_score":0.028111935},"labels":[],"label_agreement":null},{"id":"W2539478065","doi":"10.1109/epecs.2013.6713042","title":"Battery characterization for vehicular applications using hardware-in-loop real-time simulation","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Battery (electricity); Test bench; Hardware-in-the-loop simulation; Computer science; Real-time simulation; Simulation; Loop (graph theory); Automotive engineering; Embedded system; Engineering; Power (physics)","score_opus":0.021852160633788094,"score_gpt":0.28466307760147685,"score_spread":0.26281091696768877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2539478065","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29969975,0.00033401715,0.68510234,0.00017460778,0.0000958826,0.00024144385,0.00039400405,0.004865748,0.009092249],"genre_scores_gemma":[0.9846668,0.00010881537,0.013822092,0.000015096134,0.0000042918696,0.00007748138,0.00012148763,0.00005574068,0.0011280825],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984777,0.000037068843,0.000011873058,0.00001611459,0.00007091956,0.000016162641],"domain_scores_gemma":[0.9996985,0.0001070031,0.000026944623,0.000046340054,0.00010824181,0.000013073405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027862936,0.00041800077,0.00034185208,0.000326367,0.00016996573,0.00046470936,0.0007360157,0.000264015,0.002115953],"category_scores_gemma":[0.000869969,0.00010240985,0.00022639228,0.00019899424,0.00016880028,0.00057073985,0.0002496242,0.00025484286,0.00035512258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005656658,0.00019037249,0.006016792,0.00053777103,0.000075100485,0.00017824197,0.00023743926,0.776494,0.077286944,0.0027611672,0.0023199639,0.1333365],"study_design_scores_gemma":[0.00004310793,0.00042303753,0.0014967113,0.00001823026,0.000028617109,0.00008186457,0.00006486813,0.9405427,0.052380342,0.0008178108,0.004080013,0.000022646978],"about_ca_topic_score_codex":0.0018907278,"about_ca_topic_score_gemma":0.0019955111,"teacher_disagreement_score":0.002115953,"about_ca_system_score_codex":0.00030420988,"about_ca_system_score_gemma":0.00039418103,"threshold_uncertainty_score":0.007078588},"labels":[],"label_agreement":null},{"id":"W2545655489","doi":"10.1109/iecon.2008.4758502","title":"Sizing and power management strategies for battery storage integration into wind-diesel systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Sizing; Energy storage; Automotive engineering; Wind power; Diesel fuel; State of charge; Battery (electricity); Computer science; Battery storage; Energy management; Offset (computer science); Engineering; Electrical engineering; Power (physics); Energy (signal processing)","score_opus":0.021091808082340412,"score_gpt":0.2592003948330351,"score_spread":0.23810858675069468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2545655489","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41404635,0.001247481,0.5701837,0.00020953659,0.000091264825,0.00033691546,0.00012486026,0.0010976429,0.012662297],"genre_scores_gemma":[0.97462225,0.00018382202,0.023735028,0.00001636077,0.000016114647,0.000051669802,0.00004336361,0.000026520389,0.0013048734],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999056,0.000025864076,0.000011232631,0.000013579953,0.000028947557,0.0000147425435],"domain_scores_gemma":[0.9998479,0.00005661582,0.000036070698,0.00001130315,0.000036778765,0.000011260543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024045639,0.00056862226,0.00045413597,0.00037389543,0.00026451435,0.0007044211,0.00055483676,0.0002343214,0.001916707],"category_scores_gemma":[0.00042511817,0.0002934632,0.00017583475,0.00037917504,0.00016573998,0.0005601232,0.00028198675,0.00026909044,0.00022956228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048892887,0.00030944753,0.0016961113,0.00031392818,0.00005364182,0.00023875131,0.00024881458,0.565798,0.055108447,0.0058419486,0.001422392,0.3684796],"study_design_scores_gemma":[0.00006928728,0.0002948802,0.0009999376,0.000018508377,0.00004762644,0.00008600438,0.000097178134,0.979536,0.0141865425,0.0029605553,0.0016901449,0.0000133435615],"about_ca_topic_score_codex":0.001684463,"about_ca_topic_score_gemma":0.0042351875,"teacher_disagreement_score":0.001916707,"about_ca_system_score_codex":0.00034349776,"about_ca_system_score_gemma":0.0003576352,"threshold_uncertainty_score":0.0064120293},"labels":[],"label_agreement":null},{"id":"W2546229779","doi":"10.1109/epecs.2013.6713090","title":"Hardware-in-loop real-time simulation of a battery storage system in a wind generation scheme","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Battery (electricity); Real-time simulation; Hardware-in-the-loop simulation; Test bench; State of charge; Computer science; Loop (graph theory); Simulation; Scheme (mathematics); Wind power; Automotive engineering; Engineering; Electrical engineering; Power (physics); Embedded system; Physics","score_opus":0.020526731228928098,"score_gpt":0.26016243345144024,"score_spread":0.23963570222251215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2546229779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95226854,0.00004289877,0.040637482,0.00009496999,0.000029598188,0.00007784895,0.00020274588,0.00039592347,0.0062499666],"genre_scores_gemma":[0.9968755,0.000016325335,0.0023388087,0.000007209285,0.0000011211473,0.00002184338,0.000041122323,0.000007146227,0.00069088355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999294,0.000022191878,0.0000044031094,0.000009615964,0.00002125047,0.000013190376],"domain_scores_gemma":[0.9997423,0.0001513622,0.000025252357,0.000019735113,0.00004131605,0.000019992056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019744916,0.00024259754,0.00030092432,0.00018295216,0.0002492632,0.00036952322,0.00051563047,0.0004436689,0.0024092956],"category_scores_gemma":[0.0005785688,0.000117822536,0.00021084907,0.00014584769,0.00038835124,0.0004013025,0.00023260209,0.00032759368,0.0001246486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016882156,0.00007482101,0.0016011724,0.00005482041,0.0000127878475,0.00009349533,0.00006856592,0.9867338,0.0059441887,0.00095904747,0.00016161695,0.004126799],"study_design_scores_gemma":[0.000031993844,0.00014402553,0.00045909258,0.0000021156536,0.0000049013597,0.000012835251,0.000023927461,0.9962155,0.0026912708,0.00019644247,0.00021377852,0.000004099616],"about_ca_topic_score_codex":0.00439276,"about_ca_topic_score_gemma":0.0030124092,"teacher_disagreement_score":0.00439276,"about_ca_system_score_codex":0.00031285078,"about_ca_system_score_gemma":0.0003835667,"threshold_uncertainty_score":0.008734405},"labels":[],"label_agreement":null},{"id":"W2546677954","doi":"10.1109/ccece.2016.7726748","title":"Addressing key challenges in transportation mode electrification","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Resources Canada","keywords":"Key (lock); Electrification; Computer science; Mode (computer interface); Computer security; Engineering; Electricity; Electrical engineering; Human–computer interaction","score_opus":0.10042655880703413,"score_gpt":0.32412920192105477,"score_spread":0.22370264311402063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2546677954","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07946864,0.1078302,0.11140745,0.4003966,0.004078333,0.00019320658,0.0007726071,0.00025129065,0.29560173],"genre_scores_gemma":[0.7751042,0.123132765,0.043140724,0.008714904,0.0023298915,0.0002608279,0.00039105944,0.00012011872,0.04680556],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99920446,0.00031271996,0.000034582394,0.00011720268,0.00019166825,0.00013939163],"domain_scores_gemma":[0.99839205,0.0008048915,0.000098597375,0.00009507607,0.00049107475,0.00011840479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023184018,0.00048335813,0.00042596293,0.00060262484,0.0010649008,0.004195955,0.0013522704,0.0025673502,0.011948313],"category_scores_gemma":[0.0052107666,0.00022868105,0.00036476372,0.0013238323,0.0013278655,0.007686574,0.0027250058,0.0026539606,0.0012641804],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053066586,0.00010251402,0.0014627017,0.0011106253,0.000028591396,0.00030229078,0.0006988665,0.024648298,0.0014051488,0.65506196,0.033424303,0.28170168],"study_design_scores_gemma":[0.000014516749,0.000099093726,0.0014421918,0.001102401,0.000017020004,0.00041091582,0.006227075,0.024407761,0.0012114783,0.58806026,0.37695417,0.00005300919],"about_ca_topic_score_codex":0.003745542,"about_ca_topic_score_gemma":0.0044113193,"teacher_disagreement_score":0.011948313,"about_ca_system_score_codex":0.0016204687,"about_ca_system_score_gemma":0.0031535535,"threshold_uncertainty_score":0.039971113},"labels":[],"label_agreement":null},{"id":"W2546795158","doi":"10.1109/iecon.2009.5415116","title":"Efficiency modeling and analysis of a switched capacitor converter for a plug-in hybrid electric vehicle energy storage system","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Ripple; Capacitor; Buck converter; Controller (irrigation); Energy storage; Waveform; Computer science; Control theory (sociology); Filter capacitor; Voltage; Switched capacitor; Filter (signal processing); Reservoir capacitor; Electronic engineering; Engineering; Decoupling capacitor; Electrical engineering; Control (management); Power (physics); Physics","score_opus":0.010794619788824438,"score_gpt":0.23175942158750262,"score_spread":0.2209648017986782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2546795158","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09419105,0.00079409534,0.8359227,0.00041247977,0.00008333452,0.00015012937,0.00029254856,0.0012325961,0.06692105],"genre_scores_gemma":[0.97898906,0.0003108533,0.0065297456,0.000040802388,0.000015053911,0.00009985014,0.000079005586,0.000090922396,0.013844693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997826,0.000035481095,0.000008135506,0.000023718463,0.00012533039,0.000024760939],"domain_scores_gemma":[0.99983263,0.00006538279,0.000014755589,0.000015635609,0.0000641233,0.000007423717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032562515,0.0006589699,0.0008266014,0.00051233696,0.00069760287,0.0013002909,0.0011140036,0.0009107556,0.0047462382],"category_scores_gemma":[0.00046999464,0.00042039767,0.0007124022,0.0004028973,0.0005039909,0.0007580319,0.0003131417,0.00059793034,0.0010703284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000109190725,0.000039395276,0.00052192924,0.00010189933,0.000049380338,0.00022137191,0.00010427651,0.9548551,0.016775241,0.012943173,0.0010187284,0.013260458],"study_design_scores_gemma":[0.00000436299,0.000016248223,0.00012236617,0.0000044151943,0.0000069746848,0.000019133056,0.000008879821,0.9972486,0.0014776465,0.00058922305,0.000498405,0.000003816927],"about_ca_topic_score_codex":0.011206311,"about_ca_topic_score_gemma":0.00636961,"teacher_disagreement_score":0.011206311,"about_ca_system_score_codex":0.0011618863,"about_ca_system_score_gemma":0.0008412315,"threshold_uncertainty_score":0.022282124},"labels":[],"label_agreement":null},{"id":"W2546910454","doi":"10.1109/redec.2014.7038556","title":"Design, control and simulation of a fuel-cell-fed power conversion system for electric vehicles","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Conseil National de la Recherche Scientifique; Agence Universitaire de la Francophonie","keywords":"Fuel cells; MATLAB; Inverter; Voltage source inverter; Automotive engineering; Voltage; Computer science; Power (physics); Electric vehicle; Electrical engineering; Engineering; Physics","score_opus":0.010402217889682373,"score_gpt":0.23462997535747057,"score_spread":0.2242277574677882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2546910454","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18654059,0.0005925997,0.77443236,0.00034704432,0.00026296702,0.000504068,0.00039095304,0.0024411588,0.034488235],"genre_scores_gemma":[0.9574071,0.00022166446,0.03633836,0.000032459455,0.000011994122,0.00028931347,0.00014474099,0.00004666011,0.005507671],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986696,0.000031734166,0.000007771238,0.000021443371,0.000054475364,0.000017606955],"domain_scores_gemma":[0.9998703,0.000044622127,0.000016068025,0.00001253333,0.000047084537,0.000009380856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030950052,0.00052784884,0.00049895066,0.00024414062,0.00044216219,0.0007093374,0.00063212967,0.0006114134,0.002890426],"category_scores_gemma":[0.0003808574,0.0002362306,0.00038320557,0.0001842195,0.00031696257,0.0003221354,0.00030870634,0.00049319625,0.00035139438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009913547,0.00007211949,0.00065330084,0.00015536742,0.000029139492,0.00014844377,0.00006857463,0.97028244,0.010591147,0.0030087726,0.00043382513,0.014457687],"study_design_scores_gemma":[0.000029589988,0.00009855121,0.00023467858,0.00000772479,0.00001180411,0.000020473508,0.000011610636,0.9935222,0.004395296,0.00035335336,0.001309861,0.000004948484],"about_ca_topic_score_codex":0.006157528,"about_ca_topic_score_gemma":0.0041507985,"teacher_disagreement_score":0.006157528,"about_ca_system_score_codex":0.0003801981,"about_ca_system_score_gemma":0.0006881846,"threshold_uncertainty_score":0.0122433305},"labels":[],"label_agreement":null},{"id":"W2547070565","doi":"10.1109/epe.2016.7695531","title":"Hybrid lead-acid/lithium-ion energy storage system with power-mix control for light electric vehicles","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Energy storage; State of charge; Lead–acid battery; Battery (electricity); Automotive engineering; Electric vehicle; Controller (irrigation); Lithium (medication); Computer science; Power (physics); Electrical engineering; Materials science; Engineering; Physics","score_opus":0.006558629083494296,"score_gpt":0.21070687799078994,"score_spread":0.20414824890729563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2547070565","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31371436,0.0012814527,0.65112716,0.00039493546,0.0001808355,0.0002950574,0.00020395251,0.004025488,0.028776705],"genre_scores_gemma":[0.9875721,0.000072527546,0.009790366,0.000041816424,0.000012060254,0.00005248227,0.00003628171,0.000015294858,0.0024071988],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999032,0.000013270935,0.000009587345,0.000023751862,0.000038108206,0.000012080696],"domain_scores_gemma":[0.9999268,0.00001578718,0.00001692569,0.000006563469,0.00002678627,0.00000711924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018351946,0.0003822349,0.0003208288,0.00023914746,0.0003844383,0.0007307996,0.00075819046,0.00018286878,0.0026440371],"category_scores_gemma":[0.000154898,0.00015176435,0.00017432064,0.00017994065,0.00020174454,0.0006924018,0.00038412376,0.0002961547,0.00040185437],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015206252,0.0005757502,0.0030924194,0.0006860567,0.00016433162,0.0003740782,0.00026261745,0.48483896,0.15772039,0.013652389,0.005459767,0.33165264],"study_design_scores_gemma":[0.00006696754,0.00039468842,0.0006828579,0.000018538738,0.000040673378,0.0000703133,0.000040834595,0.96779144,0.024621453,0.0019945623,0.004256629,0.000021063413],"about_ca_topic_score_codex":0.0016869539,"about_ca_topic_score_gemma":0.0033579252,"teacher_disagreement_score":0.0026440371,"about_ca_system_score_codex":0.00043473244,"about_ca_system_score_gemma":0.00035169232,"threshold_uncertainty_score":0.0088451505},"labels":[],"label_agreement":null},{"id":"W2547139434","doi":"10.1109/ccece.2016.7726668","title":"Implementation of load-curve smoothing algorithm based on battery energy storage system","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Smoothing; Computer science; Modbus; Battery (electricity); MATLAB; Inverter; Protocol (science); Energy (signal processing); Algorithm; Power (physics); Engineering; Voltage; Communications protocol; Electrical engineering; Mathematics","score_opus":0.011695708548327589,"score_gpt":0.2627063359387787,"score_spread":0.2510106273904511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2547139434","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025210194,0.0001506644,0.961857,0.00010502173,0.00009921869,0.00008937567,0.00005020588,0.0067517497,0.005686593],"genre_scores_gemma":[0.8085938,0.0001589846,0.18492186,0.00007467579,0.000050661823,0.00013441885,0.00015158702,0.00023813033,0.005675866],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979645,0.000020353804,0.000016197764,0.0000411499,0.00010381147,0.000021998203],"domain_scores_gemma":[0.9998041,0.00003027688,0.000019916846,0.000030198791,0.00010254049,0.000013055212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002122558,0.00040855535,0.00047503193,0.00046379064,0.0003681519,0.0005498923,0.0008663726,0.0003247679,0.0034174318],"category_scores_gemma":[0.00055777,0.00016284957,0.00020861538,0.00033050956,0.00016578234,0.0005093262,0.00032478804,0.00037985956,0.0009917803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053167535,0.00018817924,0.0025891287,0.00027579404,0.00008077704,0.00028549513,0.0003471844,0.10416785,0.1475925,0.013214728,0.008139262,0.7225874],"study_design_scores_gemma":[0.000053991676,0.00012383463,0.00093122537,0.000013643034,0.00001701948,0.00014582745,0.000030861735,0.9258218,0.059536494,0.002073757,0.011218287,0.000033236793],"about_ca_topic_score_codex":0.0020878322,"about_ca_topic_score_gemma":0.0014626329,"teacher_disagreement_score":0.0034174318,"about_ca_system_score_codex":0.0003202305,"about_ca_system_score_gemma":0.00044593558,"threshold_uncertainty_score":0.011432469},"labels":[],"label_agreement":null},{"id":"W2548161397","doi":"10.1109/epe.2016.7695665","title":"Multi-objective optimization and comparison of multi-level DC-DC converters using convex optimization methods","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Converters; Capacitor; Range (aeronautics); Electronic engineering; Power (physics); Topology (electrical circuits); Inductor; Computer science; Buck converter; Regular polygon; Control theory (sociology); Engineering; Mathematics; Electrical engineering; Voltage; Physics","score_opus":0.10179564856910168,"score_gpt":0.38653612308358665,"score_spread":0.284740474514485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2548161397","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13601986,0.001108205,0.8414073,0.0003385284,0.000074714924,0.00021902945,0.00022066753,0.00039326106,0.0202184],"genre_scores_gemma":[0.8157199,0.0003830663,0.18042678,0.000084028536,0.000027193213,0.0003036512,0.00019065176,0.00014463661,0.0027200812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995129,0.00023043217,0.000023467413,0.000040205963,0.00014258958,0.000050305407],"domain_scores_gemma":[0.9985252,0.0010787887,0.00007015016,0.000064596024,0.00021955476,0.00004182455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021839247,0.00095714757,0.0010433662,0.0009081124,0.0003424999,0.00090349204,0.0007467182,0.000864317,0.0034116178],"category_scores_gemma":[0.0027609866,0.00040685886,0.00082888006,0.00081146485,0.00033115075,0.00090931926,0.0005897147,0.0008319102,0.00023790527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052605214,0.0000422825,0.00014459062,0.00005914936,0.000030269828,0.00001606169,0.00001066744,0.9840067,0.00043417414,0.0029647015,0.00024333176,0.011995504],"study_design_scores_gemma":[0.0000037544553,0.000020359883,0.00006221663,0.0000028453449,0.000003775971,0.00000308184,0.000003698843,0.9992562,0.00020021718,0.00035981054,0.00008229005,0.0000017735298],"about_ca_topic_score_codex":0.00279456,"about_ca_topic_score_gemma":0.0030472584,"teacher_disagreement_score":0.0034116178,"about_ca_system_score_codex":0.00091780093,"about_ca_system_score_gemma":0.00064012205,"threshold_uncertainty_score":0.01154983},"labels":[],"label_agreement":null},{"id":"W2549598239","doi":"10.1109/pesgm.2016.7742044","title":"Quantifying the impact of PEV charging loads on the reliability performance of generation systems","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Reliability engineering; Reliability (semiconductor); Automotive engineering; Probabilistic logic; Electric power system; Computer science; Load profile; Software deployment; Electric vehicle; Power (physics); Engineering; Electrical engineering; Electricity","score_opus":0.06077186881448519,"score_gpt":0.3090227986298275,"score_spread":0.24825092981534233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2549598239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96655834,0.00008270548,0.03162204,0.000024832407,0.000004648859,0.00004749082,0.00013545851,0.0000920918,0.0014324331],"genre_scores_gemma":[0.9983639,0.000016945729,0.001496836,0.000001473957,0.0000012374367,0.000007758594,0.000040653445,0.000004817044,0.00006642701],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890363,0.0004787677,0.00006039457,0.00008065763,0.0003765047,0.0001000841],"domain_scores_gemma":[0.99371016,0.00448573,0.0006335031,0.0005140995,0.00058831956,0.0000682377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015946849,0.0005689819,0.00029949096,0.0010625108,0.00023222029,0.00053184363,0.00041254083,0.00040240315,0.0005835126],"category_scores_gemma":[0.007511175,0.00018100826,0.000342658,0.000561104,0.00036265783,0.0009496432,0.00048758864,0.00035717525,0.000109908004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036194475,0.000080339516,0.030478194,0.00008151274,0.00006503512,0.00015509213,0.0001105287,0.91861296,0.018611422,0.0011130141,0.000091778966,0.030238235],"study_design_scores_gemma":[0.00001609587,0.0016272484,0.041058034,0.000017815873,0.00007099135,0.0002029934,0.00017229305,0.9155601,0.039422415,0.0013786322,0.0004309033,0.00004238327],"about_ca_topic_score_codex":0.0022659828,"about_ca_topic_score_gemma":0.0031001256,"teacher_disagreement_score":0.0022659828,"about_ca_system_score_codex":0.00058108143,"about_ca_system_score_gemma":0.0003166512,"threshold_uncertainty_score":0.00843358},"labels":[],"label_agreement":null},{"id":"W2554272148","doi":"10.1109/pesgm.2016.7741152","title":"A mathematical model for a stability-enhanced DC distribution system for power system integration of plug-in electric vehicles","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Western University","funders":"","keywords":"MATLAB; Plug-in; Battery (electricity); Stability (learning theory); Eigenvalues and eigenvectors; Electric power system; Computer science; Control theory (sociology); Power (physics); Plug and play; Software; Set (abstract data type); Nonlinear system; System model; Control engineering; Engineering; Control (management); Physics","score_opus":0.02256442096583169,"score_gpt":0.2694512220928196,"score_spread":0.24688680112698788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2554272148","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024003647,0.00031732154,0.98350877,0.0002800243,0.000107720596,0.00008939963,0.000203159,0.00025229977,0.012840999],"genre_scores_gemma":[0.5723531,0.0035104116,0.36064452,0.0005836113,0.00036523346,0.0013812138,0.0012164753,0.0003287899,0.05961656],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999798,0.000037196707,0.000014730826,0.000042779728,0.00009357898,0.000013665517],"domain_scores_gemma":[0.999856,0.000040260136,0.000023301624,0.000015652804,0.00005788035,0.0000068566974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025177927,0.00077080977,0.0005059089,0.00055502774,0.0006080542,0.001072577,0.0014673049,0.0009071991,0.005125431],"category_scores_gemma":[0.0005964507,0.0002820588,0.0005139161,0.0005350298,0.0005317207,0.0013718493,0.00065506453,0.0016270874,0.001892298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032745076,0.000066316716,0.0003919564,0.00030982937,0.000026714284,0.000352468,0.00018028489,0.6788712,0.016212342,0.26746458,0.0056981808,0.030393392],"study_design_scores_gemma":[0.000013653025,0.00004859757,0.00013983631,0.000028580509,0.00001398113,0.00018367625,0.000027642223,0.94518524,0.001942135,0.023808774,0.028590012,0.000017825949],"about_ca_topic_score_codex":0.0033916042,"about_ca_topic_score_gemma":0.0029595976,"teacher_disagreement_score":0.005125431,"about_ca_system_score_codex":0.00084076315,"about_ca_system_score_gemma":0.0010161918,"threshold_uncertainty_score":0.01714629},"labels":[],"label_agreement":null},{"id":"W2555089337","doi":"10.1109/iecon.2015.7392951","title":"Standalone DC level-1 EV Charging using pv/Grid infrastructure, MPPT algorithm and CHAdeMO protocol","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Photovoltaic system; Charge controller; Computer science; Maximum power point tracking; Automotive engineering; Electrical engineering; Electric vehicle; Battery (electricity); Grid; Solar energy; Algorithm; State of charge; Voltage; Power (physics); Engineering; Physics; Mathematics","score_opus":0.06385048482922225,"score_gpt":0.3249546873666045,"score_spread":0.26110420253738226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2555089337","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045671973,0.00038156903,0.921803,0.00018735895,0.000093581286,0.0002592407,0.000113761576,0.0024271437,0.029062392],"genre_scores_gemma":[0.94203746,0.0002023976,0.05142886,0.0000615607,0.000027218059,0.0000985983,0.00010167043,0.000054470936,0.0059878165],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997999,0.00003224041,0.000013380322,0.0000475848,0.00008430052,0.000022683249],"domain_scores_gemma":[0.9999118,0.000017517415,0.000012028905,0.000020309979,0.000032533655,0.000005833932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000120981545,0.0003207967,0.00037139768,0.00027135064,0.00029998765,0.00077312626,0.000719244,0.0003251406,0.002265818],"category_scores_gemma":[0.00024447253,0.00013231068,0.0001937356,0.00031489035,0.00015321605,0.0004491756,0.00041407172,0.00032967216,0.000593964],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045639038,0.00021466853,0.0030284303,0.0007689658,0.000085273605,0.00059855287,0.00033613865,0.17362842,0.10767193,0.03335303,0.009013718,0.67084444],"study_design_scores_gemma":[0.000072727846,0.0004944791,0.002450215,0.000047426478,0.00004806641,0.0012012948,0.00013871519,0.8794132,0.07223858,0.010984558,0.03286895,0.000041822757],"about_ca_topic_score_codex":0.0006659891,"about_ca_topic_score_gemma":0.0011290794,"teacher_disagreement_score":0.002265818,"about_ca_system_score_codex":0.00026169684,"about_ca_system_score_gemma":0.0002699724,"threshold_uncertainty_score":0.007579863},"labels":[],"label_agreement":null},{"id":"W2555097143","doi":"10.82308/33597","title":"Design and simulation of a fast-charging station for plug-in hybrid electric vehicle (PHEV) batteries","year":2011,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Automotive engineering; Electric vehicle; Plug-in; Engineering; Electrical engineering; Computer science; Environmental science; Power (physics); Operating system; Physics","score_opus":0.03359366492600839,"score_gpt":0.2514190122661573,"score_spread":0.2178253473401489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2555097143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49520773,0.0004460902,0.42132264,0.00085443485,0.0002523941,0.0005153169,0.0013784968,0.001863673,0.07815915],"genre_scores_gemma":[0.96381396,0.00019267517,0.02560078,0.0000469449,0.000009109949,0.0002696121,0.00025895968,0.000048094156,0.0097597735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987364,0.000034017583,0.000005847768,0.000019105937,0.00003785216,0.000029446841],"domain_scores_gemma":[0.9998166,0.0000851155,0.000018646628,0.000012564778,0.000046158682,0.000020999263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027918137,0.0005534817,0.0006538414,0.00034452064,0.00066446693,0.0010839006,0.00094632164,0.0011170646,0.006127777],"category_scores_gemma":[0.00049006264,0.0003198372,0.000667428,0.00034319315,0.00042298163,0.0004759838,0.00046954214,0.0005404411,0.0005392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004312997,0.000020245712,0.00047031543,0.00003120562,0.000006757603,0.00006039246,0.000024970643,0.9948218,0.0011446035,0.0012647635,0.00021736383,0.0018943729],"study_design_scores_gemma":[0.000017588876,0.000038324182,0.00010306765,0.000003965883,0.0000046636032,0.000006955285,0.000017556331,0.99840707,0.00056467525,0.00028202627,0.00055097527,0.0000032169178],"about_ca_topic_score_codex":0.010971125,"about_ca_topic_score_gemma":0.0068045054,"teacher_disagreement_score":0.010971125,"about_ca_system_score_codex":0.0007718517,"about_ca_system_score_gemma":0.001374921,"threshold_uncertainty_score":0.021814525},"labels":[],"label_agreement":null},{"id":"W2556556990","doi":"10.1149/ma2012-02/11/1122","title":"(Invited) Investigation of ORR and OER in Non-Aqueous (and Aqueous) Li-O<sub>2</sub> Cells Using Metal Oxide Catalysts","year":2012,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Aqueous solution; Oxide; Catalysis; Metal; Inorganic chemistry; Materials science; Chemistry; Chemical engineering; Metallurgy; Physical chemistry; Organic chemistry; Engineering","score_opus":0.015771623197553025,"score_gpt":0.23700841882641008,"score_spread":0.22123679562885706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2556556990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8960723,0.024271091,0.01138894,0.0029166348,0.004557329,0.0003067015,0.0012364846,0.0005039298,0.058746606],"genre_scores_gemma":[0.8653168,0.008559212,0.0043719634,0.000977985,0.0009315833,0.00011660054,0.0010935055,0.000115034134,0.11851722],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998142,0.000014105911,0.000006889834,0.000047712583,0.00007904029,0.000038068567],"domain_scores_gemma":[0.999856,0.000054772532,0.00001085577,0.000011426136,0.000052722524,0.000014292684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032066187,0.00039071037,0.00036549015,0.00017302038,0.0002995712,0.00055421866,0.00038549653,0.00073701376,0.009220105],"category_scores_gemma":[0.00039036563,0.00014542593,0.00036344404,0.00018830432,0.00035538475,0.00057197333,0.00025815086,0.00033916484,0.0017874679],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021546497,0.00007202495,0.0006082141,0.0007017574,0.000037088637,0.00088061823,0.00014540757,0.00018926707,0.9631666,0.0010001363,0.004292288,0.026751919],"study_design_scores_gemma":[0.000095578245,0.0014870215,0.0028537593,0.000018944022,0.00006529486,0.0004995421,0.00023957345,0.0005182353,0.9634986,0.00034220316,0.030359222,0.000022123213],"about_ca_topic_score_codex":0.0005059692,"about_ca_topic_score_gemma":0.0006406701,"teacher_disagreement_score":0.009220105,"about_ca_system_score_codex":0.00016585412,"about_ca_system_score_gemma":0.000116142066,"threshold_uncertainty_score":0.030844271},"labels":[],"label_agreement":null},{"id":"W2560053418","doi":"10.1149/2.0221702jes","title":"An Inverse Method for Estimating the Electrochemical Parameters of Lithium-Ion Batteries","year":2016,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec","keywords":"Inverse; Lithium (medication); Electrochemistry; Ion; Electrode; Diffusion; Interval (graph theory); Materials science; Chemistry; Analytical Chemistry (journal); Thermodynamics; Applied mathematics; Mathematics; Physics; Physical chemistry; Geometry","score_opus":0.015768396389745937,"score_gpt":0.29639629244425725,"score_spread":0.2806278960545113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560053418","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002838637,0.00012049317,0.9965049,0.000019753923,0.000008442225,0.000011759059,0.000015883292,0.00007765828,0.00040244867],"genre_scores_gemma":[0.23144107,0.00063689507,0.7642075,0.000054966677,0.000037424794,0.00020525929,0.00020797373,0.00009167847,0.0031172237],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997377,0.000104552295,0.000014005895,0.00004056963,0.000093585564,0.000009591243],"domain_scores_gemma":[0.9995036,0.00033236458,0.000036133184,0.000035363948,0.000085916916,0.0000065949234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073098904,0.0005666294,0.00044981623,0.0004586901,0.00021188435,0.0005338834,0.00057776313,0.0006964663,0.0010462616],"category_scores_gemma":[0.003150554,0.0003337172,0.00045033812,0.00037104145,0.00033897572,0.0007450187,0.00042076933,0.00066684757,0.0003543051],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006887126,0.00004490964,0.0006273645,0.00019812267,0.000058158086,0.000053598076,0.000058464942,0.82361573,0.014181444,0.01079289,0.0006150735,0.1496854],"study_design_scores_gemma":[0.0000029758046,0.000011517647,0.00010397833,0.000005551953,0.000005130899,0.000022433342,0.000004215213,0.9955388,0.0016463117,0.0019028004,0.00074779626,0.000008611934],"about_ca_topic_score_codex":0.0019275775,"about_ca_topic_score_gemma":0.0019517295,"teacher_disagreement_score":0.0019275775,"about_ca_system_score_codex":0.00030302713,"about_ca_system_score_gemma":0.0006168352,"threshold_uncertainty_score":0.0038658977},"labels":[],"label_agreement":null},{"id":"W2560300165","doi":"10.1149/2.0181702jes","title":"Charge/Discharge Asymmetry in Blended Lithium-Ion Electrodes","year":2016,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrode; Cathode; Lithium (medication); Asymmetry; Ion; Materials science; Diffusion; Analytical Chemistry (journal); Charge (physics); Particle (ecology); Chemistry; Thermodynamics; Physics; Physical chemistry","score_opus":0.007866042451012736,"score_gpt":0.24324555616496676,"score_spread":0.23537951371395402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560300165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918903,0.00018934553,0.0068453443,0.00003133904,0.000009209453,0.000025579131,0.00012133018,0.0000604009,0.0008269721],"genre_scores_gemma":[0.99797314,0.00007432193,0.0014824127,0.000008920796,0.0000019379374,0.000018830455,0.00008791052,0.0000077950945,0.00034467044],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985814,0.00000942905,0.0000143076895,0.00003700371,0.000062603525,0.000018546734],"domain_scores_gemma":[0.9998454,0.000047225018,0.00003475864,0.000018060391,0.00004395362,0.000010552692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002267608,0.00022012206,0.00040790663,0.00023702343,0.00012787155,0.00043172538,0.00054780423,0.00041505616,0.00065054925],"category_scores_gemma":[0.00041587895,0.0001459434,0.0002771507,0.00017517825,0.00015608085,0.00042490708,0.00019911364,0.00041577354,0.000118656084],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026053668,0.00006244138,0.0011909001,0.00006657,0.000016934966,0.000090030044,0.000030062563,0.0057314737,0.9889811,0.00029625674,0.000029583563,0.0032440273],"study_design_scores_gemma":[0.000029296403,0.00021426237,0.0038688926,0.0000056589192,0.000026256419,0.000079164136,0.000025487576,0.13551396,0.8595728,0.00022669435,0.0004279544,0.000009592532],"about_ca_topic_score_codex":0.0005551552,"about_ca_topic_score_gemma":0.0005603125,"teacher_disagreement_score":0.00065054925,"about_ca_system_score_codex":0.00041893002,"about_ca_system_score_gemma":0.0001207279,"threshold_uncertainty_score":0.0030395985},"labels":[],"label_agreement":null},{"id":"W2560456307","doi":"10.1109/epec.2016.7771723","title":"Safety study of three types of lithium ion batteries","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Internal resistance; Battery (electricity); Penetration (warfare); Electrode; Materials science; Lithium-ion battery; Thermal; Nuclear engineering; Ion; Automotive engineering; Electrical engineering; Chemistry; Power (physics); Physics; Engineering; Thermodynamics","score_opus":0.021349788144857912,"score_gpt":0.2662547133138149,"score_spread":0.24490492516895698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560456307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904261,0.0008843761,0.005416753,0.000095227435,0.000037487112,0.000043965563,0.00031999493,0.0001928239,0.002583236],"genre_scores_gemma":[0.995659,0.00044915086,0.002040028,0.000039316907,0.0000074637383,0.000028859056,0.00035769562,0.000027490247,0.0013910902],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995285,0.000047673348,0.000034570458,0.00006801081,0.0002585197,0.00006266436],"domain_scores_gemma":[0.999328,0.00015393132,0.00007702833,0.000078176236,0.00032210772,0.000040662562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003376324,0.00056898355,0.0005639462,0.00088110607,0.0004297411,0.000611699,0.0011123917,0.0007500827,0.0015729795],"category_scores_gemma":[0.0010780385,0.00019417242,0.0006105999,0.0006785923,0.00044311705,0.0011928292,0.0005230199,0.0003484345,0.00039006304],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033995018,0.00045011457,0.025519144,0.0017287367,0.00028568925,0.002793635,0.0014099334,0.094899975,0.74830115,0.0027943545,0.002462571,0.11595517],"study_design_scores_gemma":[0.00010828593,0.0036367867,0.018175747,0.000044316286,0.0001915319,0.0015891687,0.00092431623,0.1146887,0.8511662,0.0013269089,0.008046886,0.00010113583],"about_ca_topic_score_codex":0.0010836677,"about_ca_topic_score_gemma":0.0013287422,"teacher_disagreement_score":0.0015729795,"about_ca_system_score_codex":0.0006862522,"about_ca_system_score_gemma":0.00027860253,"threshold_uncertainty_score":0.005262077},"labels":[],"label_agreement":null},{"id":"W2561025861","doi":"10.1109/vppc.2016.7791727","title":"Modeling an Electric Vehicle Lithium-Ion Battery Pack Considering Low Temperature Behavior","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Bond graph; Battery pack; Electric vehicle; Battery (electricity); Thermal; Lithium-ion battery; Topology (electrical circuits); Lithium (medication); Representation (politics); Automotive engineering; Computer science; Materials science; Simulation; Engineering; Electrical engineering; Thermodynamics; Power (physics); Mathematics; Physics","score_opus":0.0192553946909411,"score_gpt":0.2600392856764995,"score_spread":0.24078389098555839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561025861","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42945963,0.00062700984,0.53903025,0.0002471149,0.000100193785,0.00014054505,0.0004905302,0.0008393961,0.029065244],"genre_scores_gemma":[0.97387457,0.0005136327,0.011181856,0.000035723933,0.0000148028885,0.00013852215,0.00022182248,0.00007178572,0.01394734],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993587,0.000016138989,0.0000030330334,0.000010391177,0.000021527674,0.000013025851],"domain_scores_gemma":[0.99993837,0.000024711997,0.000008301569,0.000006293376,0.000017566834,0.000004764795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012868043,0.00045747028,0.00052841764,0.00027707778,0.00031386712,0.00072495564,0.0006606045,0.00078953337,0.0022772537],"category_scores_gemma":[0.00025936463,0.0002520848,0.00064607675,0.00028050767,0.00034705468,0.0007288814,0.00039987508,0.00035294564,0.0005522973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002251108,0.000009786405,0.0003668002,0.00002959559,0.0000088785755,0.000075895456,0.00003287153,0.9929894,0.0036776785,0.001059128,0.000073115996,0.001654306],"study_design_scores_gemma":[0.0000043635428,0.000029088385,0.00015261953,0.0000035267963,0.0000099514355,0.000018543456,0.000012983524,0.99780697,0.0010488976,0.0004654497,0.00044412207,0.0000036012984],"about_ca_topic_score_codex":0.004784105,"about_ca_topic_score_gemma":0.003105071,"teacher_disagreement_score":0.004784105,"about_ca_system_score_codex":0.00034054037,"about_ca_system_score_gemma":0.0005354224,"threshold_uncertainty_score":0.009512544},"labels":[],"label_agreement":null},{"id":"W2562532847","doi":"10.1109/vppc.2016.7791730","title":"Modelling and Simulation of an Electric Bicycles Charging Station Based on Renewable Energy","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Microgrid; Renewable energy; Photovoltaic system; Energy storage; Automotive engineering; Spinning; Grid; Computer science; Energy management; Charging station; Energy (signal processing); Electricity generation; Representation (politics); Electrical engineering; Electric vehicle; Engineering; Power (physics); Mechanical engineering","score_opus":0.019587373728667454,"score_gpt":0.25892529614345194,"score_spread":0.2393379224147845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2562532847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.548027,0.00071686815,0.33658397,0.0008989354,0.00033823142,0.000221495,0.0016996765,0.0021436044,0.109370254],"genre_scores_gemma":[0.97670925,0.0003120876,0.008308882,0.00005278063,0.00001591567,0.00013285142,0.00049855455,0.00008763968,0.013882067],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985695,0.000033981705,0.000007834247,0.000022528542,0.000044271837,0.000034417702],"domain_scores_gemma":[0.9998541,0.00004962269,0.000015834114,0.000019620813,0.000033631033,0.000027130767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016654316,0.0005143831,0.0008445342,0.00042698134,0.0007143659,0.001240988,0.0014036401,0.0013742422,0.0059815943],"category_scores_gemma":[0.00042326594,0.00038641194,0.0007395251,0.0005959259,0.000609476,0.00073275255,0.00067989057,0.00069108396,0.0006894877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002457827,0.000015058436,0.00032776906,0.000020600548,0.000008641133,0.000117494346,0.000027644031,0.99528164,0.0010710554,0.0016954036,0.00018791792,0.001222153],"study_design_scores_gemma":[0.000012595498,0.000027242104,0.00026074037,0.000005669277,0.000006562662,0.000023689463,0.00002916701,0.99737155,0.0004031236,0.00082747627,0.001024807,0.0000074529557],"about_ca_topic_score_codex":0.018148784,"about_ca_topic_score_gemma":0.008850994,"teacher_disagreement_score":0.018148784,"about_ca_system_score_codex":0.0007436774,"about_ca_system_score_gemma":0.0010252343,"threshold_uncertainty_score":0.03608626},"labels":[],"label_agreement":null},{"id":"W2563340589","doi":"10.1007/978-3-319-43651-7_3","title":"Integration of Renewable Energy Sources into the Transportation and Electricity Sectors","year":2016,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Electrification; Renewable energy; Electricity; Environmental economics; Production (economics); Context (archaeology); Sustainable energy; Electric vehicle; Business; Engineering; Economics; Electrical engineering; Power (physics)","score_opus":0.010303161053530985,"score_gpt":0.21551071059688992,"score_spread":0.20520754954335893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563340589","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012010427,0.06966515,0.01222387,0.0018126366,0.0028083664,0.000028115497,0.00015446988,0.00015043066,0.9119559],"genre_scores_gemma":[0.010389984,0.080025986,0.006733522,0.00066632,0.0008197345,0.000034450975,0.00025514496,0.00018541049,0.9008894],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99984384,0.00001532269,0.0000053277895,0.000022167982,0.00009991735,0.000013360203],"domain_scores_gemma":[0.9999397,0.00002172685,0.0000030538965,0.0000072683656,0.000022436576,0.000005772337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016346143,0.00064672885,0.00037031615,0.0008573205,0.0004710803,0.0021711644,0.0005171379,0.0007393595,0.025174838],"category_scores_gemma":[0.00024839796,0.00026003443,0.0003653862,0.0015812033,0.0005249207,0.0026344415,0.00095355714,0.0015498033,0.010406846],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020225398,0.00004998297,0.000095140196,0.00050560146,0.000010838664,0.00011530071,0.00026641,0.0013125597,0.0025333255,0.376778,0.14718524,0.47112733],"study_design_scores_gemma":[0.0000012044308,0.0000054136235,0.00010057736,0.0001726894,0.0000025717052,0.000097993056,0.000049752998,0.00029519887,0.00046027737,0.03474168,0.9640688,0.0000038588346],"about_ca_topic_score_codex":0.0015191096,"about_ca_topic_score_gemma":0.0047506276,"teacher_disagreement_score":0.025174838,"about_ca_system_score_codex":0.00095197867,"about_ca_system_score_gemma":0.00094011356,"threshold_uncertainty_score":0.084218204},"labels":[],"label_agreement":null},{"id":"W2563345822","doi":"","title":"Design and Evaluation of Hybrid Energy Storage Systems for Electric Powertrains","year":2010,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Memorial University of Newfoundland; University of Waterloo; University of Windsor; University of Ontario Institute of Technology","keywords":"Powertrain; Energy storage; Automotive engineering; Computer science; Engineering; Physics","score_opus":0.017319389515452536,"score_gpt":0.2331818210655213,"score_spread":0.21586243155006876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563345822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64994097,0.0030149256,0.2869572,0.00086682953,0.000289195,0.0007478872,0.00078286364,0.00086281914,0.05653726],"genre_scores_gemma":[0.9833888,0.00031096148,0.010431956,0.00003322434,0.000011195516,0.0001258601,0.00010576734,0.000021150161,0.0055710576],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998982,0.000018496501,0.0000068127288,0.000019214269,0.000042724932,0.0000146328],"domain_scores_gemma":[0.99987876,0.000031006537,0.00001181326,0.0000103929815,0.000058076184,0.000009941209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030327885,0.0002805815,0.00032052372,0.0002538457,0.00032232833,0.0009480977,0.00067483756,0.00034355864,0.004763548],"category_scores_gemma":[0.00039047113,0.00014620973,0.00019063149,0.00021923479,0.00022306303,0.0008072751,0.00033308726,0.00023809115,0.00048051542],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012068626,0.0004295063,0.0031500615,0.0011213635,0.00014103392,0.00049590756,0.0002635275,0.52438384,0.24843973,0.025740609,0.003962866,0.19066474],"study_design_scores_gemma":[0.00011554588,0.0015266829,0.0018643662,0.00005674276,0.000056087567,0.00011806012,0.00021224596,0.8821728,0.09525523,0.0039302665,0.014658502,0.000033385],"about_ca_topic_score_codex":0.00090443814,"about_ca_topic_score_gemma":0.0013475444,"teacher_disagreement_score":0.004763548,"about_ca_system_score_codex":0.0005596301,"about_ca_system_score_gemma":0.00035278956,"threshold_uncertainty_score":0.01593566},"labels":[],"label_agreement":null},{"id":"W2563689914","doi":"10.1587/elex.13.20161144","title":"A high voltage multiplexer with rail to rail output swing for battery management system applications","year":2016,"lang":"en","type":"article","venue":"IEICE Electronics Express","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Multiplexer; Swing; Battery (electricity); Voltage; Electrical engineering; Computer science; Engineering; Automotive engineering; Multiplexing; Power (physics); Physics","score_opus":0.008755445721400624,"score_gpt":0.2283142580940212,"score_spread":0.21955881237262057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563689914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5922255,0.002657322,0.34920043,0.0018160722,0.001114089,0.00047818953,0.0011409909,0.010248022,0.041119333],"genre_scores_gemma":[0.9241618,0.00040152326,0.05084824,0.00047316417,0.00024323048,0.00008600901,0.00023518903,0.00019029922,0.0233605],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971265,0.000031776202,0.00002126291,0.00009156204,0.00010381475,0.000039034738],"domain_scores_gemma":[0.999742,0.000046642504,0.0000549927,0.000036980113,0.00008121699,0.000038348713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031817908,0.00036952272,0.00026369776,0.00048253706,0.0006075308,0.00077634037,0.0009994888,0.00046316683,0.009040968],"category_scores_gemma":[0.00037307577,0.00025450435,0.00016506041,0.0004595146,0.00018424673,0.0010850297,0.00045030614,0.00045529162,0.0015628902],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005315403,0.00016579869,0.0011785969,0.0001858556,0.000052959553,0.00039571756,0.00017966118,0.0005948957,0.90136236,0.0057705557,0.006076651,0.08350531],"study_design_scores_gemma":[0.00008063987,0.0011669009,0.002905017,0.00006718464,0.00013453193,0.0021658563,0.00008427638,0.0292872,0.8998981,0.0011973948,0.062944114,0.000068725036],"about_ca_topic_score_codex":0.00049696566,"about_ca_topic_score_gemma":0.0018392954,"teacher_disagreement_score":0.009040968,"about_ca_system_score_codex":0.00039378836,"about_ca_system_score_gemma":0.00034607295,"threshold_uncertainty_score":0.030245125},"labels":[],"label_agreement":null},{"id":"W2565542145","doi":"10.1149/ma2016-01/5/459","title":"Safety Testing in Lithium Ion Cells Comparing Thermally Stable Nanofiber-Based Separators to Traditional Polyolefin Separators","year":2016,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Spectra Energy (Canada)","funders":"","keywords":"Materials science; Outgassing; Ceramic; Composite material; Anode; Polypropylene; Overcharge; Polyethylene; Graphite; Penetration (warfare); Electrode; Chemistry; Battery (electricity)","score_opus":0.03421724015795164,"score_gpt":0.2552933975531018,"score_spread":0.22107615739515019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565542145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99733883,0.00024514776,0.0016778079,0.000035900663,0.000028643257,0.000029613799,0.00015091698,0.00016296539,0.00033019116],"genre_scores_gemma":[0.99560994,0.00024828545,0.0021747267,0.000046461508,0.00001651141,0.000042719323,0.00018154492,0.000044201744,0.00163556],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99947625,0.000052782223,0.00006167679,0.00012415831,0.00021633488,0.00006871703],"domain_scores_gemma":[0.9989612,0.00028600264,0.00015589249,0.00011880935,0.00039908037,0.0000789926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004641971,0.00040521938,0.00034243477,0.00041046494,0.00040173047,0.00046933047,0.0008282185,0.00080365536,0.002016625],"category_scores_gemma":[0.0008625338,0.00016789815,0.00038652186,0.00035655656,0.00027345534,0.00081307365,0.00034399488,0.0002853609,0.0005073514],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001248007,0.00008857946,0.0018573523,0.00017198188,0.000034547276,0.00037373736,0.0002628688,0.0006193194,0.990742,0.000050933642,0.000102663456,0.004447955],"study_design_scores_gemma":[0.000037514856,0.0015839784,0.0038435454,0.0000098596665,0.00003549082,0.00020859273,0.0001595643,0.0017299171,0.991525,0.00003323115,0.0008195463,0.000013803733],"about_ca_topic_score_codex":0.00060137466,"about_ca_topic_score_gemma":0.00081539626,"teacher_disagreement_score":0.002016625,"about_ca_system_score_codex":0.0003174985,"about_ca_system_score_gemma":0.00022098552,"threshold_uncertainty_score":0.006746292},"labels":[],"label_agreement":null},{"id":"W2566189212","doi":"10.1109/vppc.2016.7791602","title":"Active Battery Thermal Management Integrated to Cold Weather Optimal PHEV Autonomy Extension","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Fonds de recherche du Québec – Nature et technologies; Hydro-Québec","keywords":"Battery (electricity); Automotive engineering; State of charge; Computer science; Dynamic programming; Process (computing); Engineering; Power (physics)","score_opus":0.012476233903636494,"score_gpt":0.24374271267008984,"score_spread":0.23126647876645334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2566189212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.842038,0.0001534147,0.15293485,0.00010565933,0.000024755465,0.00004614884,0.000042029737,0.00016056548,0.0044945534],"genre_scores_gemma":[0.9983504,0.000012376507,0.0013883284,0.0000046497494,0.0000015788776,0.0000065302506,0.0000071601585,0.0000026912967,0.00022629884],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999879,0.000024662642,0.0000045560523,0.00002259906,0.000030353627,0.000038793052],"domain_scores_gemma":[0.99981767,0.00006860519,0.000034951063,0.000016703862,0.000042732452,0.000019333516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024066053,0.0003973233,0.00038121358,0.00012760395,0.00018495484,0.0004869103,0.00031246713,0.0003008655,0.00054028473],"category_scores_gemma":[0.00055412593,0.00013027756,0.00017895388,0.00008925932,0.00025266255,0.00046905136,0.00037563677,0.00037158286,0.00007157309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030103215,0.00009966533,0.001927043,0.000047458852,0.000021042755,0.00008532262,0.000048077392,0.9547957,0.022035418,0.0008262751,0.0001286397,0.01968422],"study_design_scores_gemma":[0.000017420429,0.0003438487,0.0018352768,0.0000035021073,0.000012855018,0.00002562672,0.000059549482,0.9845412,0.012091874,0.0007344465,0.0003275128,0.000006788747],"about_ca_topic_score_codex":0.0017440651,"about_ca_topic_score_gemma":0.0014397833,"teacher_disagreement_score":0.0017440651,"about_ca_system_score_codex":0.00024543828,"about_ca_system_score_gemma":0.00038723793,"threshold_uncertainty_score":0.0034678578},"labels":[],"label_agreement":null},{"id":"W2568500497","doi":"10.1016/j.epsr.2016.12.029","title":"Online parameter and state estimation of lithium-ion batteries under temperature effects","year":2017,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Control theory (sociology); Computer science; Observer (physics); Battery (electricity); Compensation (psychology); Stability (learning theory); Lyapunov stability; Estimation theory; Control engineering; Algorithm; Engineering; Power (physics); Control (management); Artificial intelligence; Machine learning","score_opus":0.02444952455330662,"score_gpt":0.33059447198637726,"score_spread":0.30614494743307064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2568500497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7052998,0.00083349517,0.28960395,0.0002170554,0.00006499526,0.000025560661,0.00018692011,0.000768717,0.0029994866],"genre_scores_gemma":[0.9973355,0.000058106572,0.0020633305,0.000008578939,0.00000686298,0.0000059512304,0.00006284671,0.000009897359,0.00044898133],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999882,0.000019880767,0.000009108451,0.000033853787,0.00003547369,0.000019651603],"domain_scores_gemma":[0.9995828,0.00021144058,0.000058484682,0.000042195217,0.000092909766,0.0000120419545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024318347,0.00040171534,0.0005412839,0.0002582136,0.00021260032,0.0006723993,0.00038704716,0.00039994216,0.0005644017],"category_scores_gemma":[0.00133738,0.00019915255,0.00021892982,0.00019857347,0.00023361224,0.0007707932,0.00040241866,0.00032245493,0.000208135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012964552,0.00020450786,0.015521986,0.0002537214,0.00012326728,0.00030785217,0.00030204217,0.7157717,0.07327635,0.0016642433,0.0010042387,0.19027361],"study_design_scores_gemma":[0.0000057722345,0.000041042345,0.003454769,0.0000038532758,0.000011959333,0.000027692568,0.000025232843,0.9862671,0.009510525,0.00046016584,0.00018115036,0.0000107329215],"about_ca_topic_score_codex":0.0026263401,"about_ca_topic_score_gemma":0.00248785,"teacher_disagreement_score":0.0026263401,"about_ca_system_score_codex":0.0002596405,"about_ca_system_score_gemma":0.0002361054,"threshold_uncertainty_score":0.0052221417},"labels":[],"label_agreement":null},{"id":"W2568766818","doi":"10.1109/iecon.2016.7793359","title":"Modified dual inverter drive enabling on-board fast charging of electric vehicles","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Electric vehicle; Inverter; Voltage; Converters; Battery (electricity); Ripple; Battery charger; Electrical engineering; Computer science; Dual (grammatical number); Topology (electrical circuits); Traction (geology); Traction motor; Constant current; Automotive engineering; Engineering; Physics; Power (physics)","score_opus":0.019301427842501166,"score_gpt":0.24618097509452053,"score_spread":0.22687954725201936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2568766818","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38693145,0.00080672355,0.55886805,0.0002469962,0.00041238588,0.00017977413,0.00037469697,0.0020236282,0.05015636],"genre_scores_gemma":[0.94009316,0.00018812415,0.047492124,0.000059485643,0.000042228523,0.00004727553,0.00019453022,0.000056481447,0.011826641],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988186,0.000010079319,0.0000072134976,0.000021930347,0.00006127276,0.000017627764],"domain_scores_gemma":[0.9999379,0.000007874448,0.000008539338,0.000013967372,0.000024580784,0.0000071407107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000065954715,0.00022963148,0.00025684206,0.00026409506,0.0001561191,0.0004914461,0.0008251867,0.0003309579,0.0036534222],"category_scores_gemma":[0.00014836932,0.0001174416,0.00017058708,0.00021516922,0.00011393427,0.0005008913,0.0003897073,0.0003568002,0.0008975185],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042437974,0.00027533591,0.00095645257,0.00036393106,0.000033501445,0.00042314327,0.00012189305,0.00598684,0.6428081,0.010424047,0.0032462385,0.3349362],"study_design_scores_gemma":[0.00026397148,0.0031616774,0.0063903434,0.00007392591,0.000117951924,0.004436238,0.0001221334,0.27037925,0.60883915,0.005968376,0.100159466,0.0000875768],"about_ca_topic_score_codex":0.00017684106,"about_ca_topic_score_gemma":0.00036595666,"teacher_disagreement_score":0.0036534222,"about_ca_system_score_codex":0.00013967283,"about_ca_system_score_gemma":0.00012455926,"threshold_uncertainty_score":0.012221992},"labels":[],"label_agreement":null},{"id":"W2569681108","doi":"10.2514/6.2017-1182","title":"Development of Parametric Power Generation and Distribution Subsystem Models at the Conceptual Aircraft Design Stage","year":2017,"lang":"en","type":"article","venue":"55th AIAA Aerospace Sciences Meeting","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Conceptual design; Parametric statistics; Stage (stratigraphy); Computer science; Power (physics); Systems engineering; Engineering; Geology; Mathematics; Physics","score_opus":0.09544276669891524,"score_gpt":0.30095324661478495,"score_spread":0.2055104799158697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2569681108","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17206445,0.00037433708,0.79388213,0.00023572247,0.00006593053,0.0003892631,0.0012778426,0.0015896336,0.030120797],"genre_scores_gemma":[0.869991,0.00071698445,0.114549585,0.00004321183,0.000017972101,0.00080545264,0.0009321994,0.00028360353,0.012660013],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998548,0.000032835207,0.0000068490563,0.00001796709,0.00006953547,0.00001811474],"domain_scores_gemma":[0.99972457,0.00011602581,0.00002589392,0.000049453807,0.00007571488,0.000008397061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002656,0.0005836786,0.00049048837,0.00036076075,0.00030640137,0.00064247084,0.0009918044,0.0006844286,0.0028282325],"category_scores_gemma":[0.0007867279,0.00043675615,0.0007641565,0.0002692991,0.0003067784,0.0007353531,0.00032982114,0.0010458246,0.0005792329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016815726,0.00001382881,0.00037673704,0.00006754884,0.000010262038,0.000034307122,0.000048761736,0.98463124,0.0053180344,0.0024134577,0.00020821235,0.006860712],"study_design_scores_gemma":[0.0000052949194,0.00004774653,0.00027870433,0.00000982156,0.000010507923,0.000021977641,0.000017018187,0.9912532,0.0045166253,0.000730931,0.0031005298,0.0000076286906],"about_ca_topic_score_codex":0.0056291227,"about_ca_topic_score_gemma":0.0055126324,"teacher_disagreement_score":0.0056291227,"about_ca_system_score_codex":0.00062316435,"about_ca_system_score_gemma":0.0009962986,"threshold_uncertainty_score":0.011192739},"labels":[],"label_agreement":null},{"id":"W2571197730","doi":"10.1109/iecon.2016.7793016","title":"An Electrolytic capacitor-less bi-directional EV-Charger with 6 switches","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Ripple; Electrolytic capacitor; Capacitor; Battery (electricity); Power (physics); Controller (irrigation); Electrical engineering; Battery charger; Reliability (semiconductor); Computer science; Topology (electrical circuits); Electronic engineering; Engineering; Voltage; Physics","score_opus":0.013112886681773411,"score_gpt":0.2351449568774428,"score_spread":0.2220320701956694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2571197730","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1254758,0.0040302016,0.840516,0.00044087408,0.0010453543,0.00028167572,0.00029868993,0.0036578043,0.024253631],"genre_scores_gemma":[0.819716,0.0013610083,0.1541422,0.00044424235,0.00019176194,0.00012748859,0.0003460245,0.00012437912,0.023546886],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997627,0.000019936375,0.000017499111,0.0000561982,0.00012395368,0.000019718978],"domain_scores_gemma":[0.9999056,0.000009469437,0.000011873417,0.000014081943,0.0000473345,0.000011632487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015252148,0.00035179406,0.0005387694,0.00036157249,0.00029954436,0.0005282548,0.0016255303,0.0005601112,0.0039843624],"category_scores_gemma":[0.00012577535,0.00019269306,0.00034094855,0.0003452211,0.00013005687,0.0010907619,0.00025192887,0.00061737775,0.0014848814],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005617425,0.00027920466,0.00075497245,0.0010968569,0.00011877508,0.00066903746,0.00012466648,0.005158623,0.6159421,0.007111233,0.0061701233,0.36201268],"study_design_scores_gemma":[0.0004726364,0.0034692972,0.006312636,0.00012343397,0.00035493055,0.01151441,0.00016150494,0.17845377,0.6392969,0.0032977955,0.15632126,0.00022139316],"about_ca_topic_score_codex":0.00029511296,"about_ca_topic_score_gemma":0.0005615392,"teacher_disagreement_score":0.0039843624,"about_ca_system_score_codex":0.00014906857,"about_ca_system_score_gemma":0.00019583876,"threshold_uncertainty_score":0.013329029},"labels":[],"label_agreement":null},{"id":"W2572086468","doi":"10.1002/9781118900239.ch2","title":"Electric Vehicle Battery Technologies","year":2016,"lang":"en","type":"other","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); Electric vehicle; Automotive engineering; Battery pack; Electric-vehicle battery; State (computer science); Energy storage; Equalization (audio); Computer science; State of charge; Engineering; Electrical engineering; Power (physics)","score_opus":0.008749177361295126,"score_gpt":0.2468532088248785,"score_spread":0.23810403146358336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2572086468","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0058781975,0.049535763,0.03408137,0.0019271506,0.00277343,0.00036992578,0.0039153076,0.0026101503,0.8989086],"genre_scores_gemma":[0.053466246,0.07235817,0.0206929,0.0013226692,0.0006143728,0.00032928708,0.00938905,0.00050384697,0.8413234],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995179,0.00002410653,0.000023408029,0.000052331015,0.00034479564,0.00003742184],"domain_scores_gemma":[0.9998385,0.000011683135,0.0000081801045,0.000018109558,0.00011111555,0.0000123975315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030113585,0.0007369262,0.00044054494,0.001653521,0.0006692947,0.0018654331,0.0012331213,0.00086292054,0.051758364],"category_scores_gemma":[0.00038447365,0.00023525355,0.0004079595,0.0016335081,0.00019948304,0.0021463046,0.0011658658,0.00084379496,0.043209095],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007942126,0.00011131201,0.0005138369,0.001391811,0.000018599212,0.00026426266,0.00013581876,0.0015781004,0.013514915,0.039741017,0.22723159,0.71541923],"study_design_scores_gemma":[0.000004364243,0.000032910895,0.00016980537,0.00011199734,0.0000058713085,0.00032721288,0.00003520417,0.00044780015,0.0046683257,0.002383252,0.9918046,0.000008665282],"about_ca_topic_score_codex":0.0010507306,"about_ca_topic_score_gemma":0.0017020985,"teacher_disagreement_score":0.051758364,"about_ca_system_score_codex":0.0007641045,"about_ca_system_score_gemma":0.00067446847,"threshold_uncertainty_score":0.17314899},"labels":[],"label_agreement":null},{"id":"W2572584900","doi":"","title":"STATCOM with SMES can support power quality and bus fast transfer","year":2010,"lang":"en","type":"article","venue":"International Journal of Power and Energy Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transfer (computing); Power quality; Quality (philosophy); Power (physics); Maximum power transfer theorem; Busbar; Electrical engineering; Business; Computer science; Engineering; Physics; Voltage; Operating system","score_opus":0.010551355519081252,"score_gpt":0.26938172954778405,"score_spread":0.2588303740287028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2572584900","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39395827,0.00060221675,0.5076921,0.0009048927,0.0008001453,0.00019884604,0.0004806468,0.01811527,0.07724758],"genre_scores_gemma":[0.9907329,0.000052300333,0.003817623,0.000099165714,0.000080874976,0.000020427657,0.000109953566,0.000080090555,0.00500655],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998305,0.00005039098,0.000018901033,0.00002553184,0.000053714582,0.000020822945],"domain_scores_gemma":[0.9993181,0.00020891092,0.000078428835,0.00014857622,0.00020446832,0.000041594765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002674604,0.0004938744,0.00037163743,0.00031894716,0.0002837113,0.0005745597,0.00050397357,0.00051493745,0.007837951],"category_scores_gemma":[0.00073174457,0.00013152149,0.00019723616,0.0003787648,0.00016540861,0.00064198393,0.00031397454,0.0005305806,0.0019215031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0043602483,0.0010773923,0.010231127,0.0008751135,0.00022766071,0.0014421613,0.00027729396,0.059545264,0.5101295,0.0104234675,0.019865522,0.38154536],"study_design_scores_gemma":[0.0009852133,0.0030350199,0.01750482,0.0001989081,0.00042252862,0.0014913885,0.00033986988,0.632301,0.2832419,0.014111917,0.04629384,0.00007365738],"about_ca_topic_score_codex":0.00029085466,"about_ca_topic_score_gemma":0.0011587098,"teacher_disagreement_score":0.007837951,"about_ca_system_score_codex":0.000114804345,"about_ca_system_score_gemma":0.00014166953,"threshold_uncertainty_score":0.02622056},"labels":[],"label_agreement":null},{"id":"W2585756896","doi":"10.1016/j.energy.2017.02.017","title":"A comprehensive study on Li-ion battery nail penetrations and the possible solutions","year":2017,"lang":"en","type":"article","venue":"Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Chongqing Technology and Business University","keywords":"Thermal runaway; Nuclear engineering; Heat generation; Materials science; Joule heating; Battery (electricity); Dissipation; Forensic engineering; Ion; Internal resistance; Thermal; Electrical engineering; Automotive engineering; Composite material; Engineering; Power (physics); Chemistry; Thermodynamics","score_opus":0.0432310485828046,"score_gpt":0.29034254685323585,"score_spread":0.24711149827043125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2585756896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67670625,0.038058296,0.09848611,0.0019303339,0.00041592147,0.00021881539,0.0015360101,0.00057508994,0.18207315],"genre_scores_gemma":[0.9432029,0.017062614,0.008442016,0.00018209373,0.00006131967,0.00003755918,0.00051345665,0.0000632342,0.03043482],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995702,0.00004865999,0.000024119772,0.00006189548,0.00022814494,0.000067011955],"domain_scores_gemma":[0.99922526,0.00016490203,0.00010175589,0.000044363096,0.00043146315,0.000032291926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029688264,0.0006059637,0.0003384881,0.0013710121,0.00049859553,0.0012025296,0.0007165437,0.00081469613,0.009271994],"category_scores_gemma":[0.0012952819,0.00023009435,0.00043082295,0.002212039,0.00034276186,0.0029141216,0.0006108793,0.0004988805,0.0014910166],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004989477,0.00017955508,0.03591788,0.002277937,0.00010694487,0.0019786966,0.0015703778,0.018433431,0.08243681,0.025652677,0.0079626795,0.8229841],"study_design_scores_gemma":[0.000041102885,0.0022836397,0.13405962,0.002599266,0.0005920789,0.01729394,0.02434795,0.083227284,0.26082373,0.046944402,0.4273691,0.00041805487],"about_ca_topic_score_codex":0.0019400932,"about_ca_topic_score_gemma":0.0029681115,"teacher_disagreement_score":0.009271994,"about_ca_system_score_codex":0.0006176226,"about_ca_system_score_gemma":0.0005924236,"threshold_uncertainty_score":0.03101796},"labels":[],"label_agreement":null},{"id":"W2586854655","doi":"10.1109/smc.2016.7844969","title":"Multi-step-ahead prediction techniques for Lithium-ion batteries condition prognosis","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Term (time); Inference system; Lithium (medication); Battery (electricity); Inference; Machine learning; Data mining; Artificial intelligence; Fuzzy logic; Fuzzy control system; Adaptive neuro fuzzy inference system","score_opus":0.028399639515940704,"score_gpt":0.29927257369422894,"score_spread":0.2708729341782882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586854655","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08399292,0.0017118462,0.91026837,0.00018102826,0.00010494062,0.00005156162,0.00023538839,0.0016628009,0.0017910933],"genre_scores_gemma":[0.89200675,0.00072707806,0.10537626,0.00004985327,0.000047159636,0.00006768061,0.00028079466,0.00003473754,0.0014096813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997887,0.00003983363,0.000019623458,0.000047697216,0.000079783706,0.00002443968],"domain_scores_gemma":[0.99944943,0.00027567166,0.00006828729,0.000052024003,0.00013767311,0.000016905287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006478439,0.000609501,0.00059203355,0.0007172173,0.00028883823,0.00040519642,0.00066933007,0.00042957254,0.0010201475],"category_scores_gemma":[0.0018024936,0.00016185957,0.0004605328,0.00067722134,0.0001327044,0.0006890236,0.00035243292,0.00076210976,0.00034819986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021493962,0.000101882084,0.0055488003,0.00014268556,0.000059984446,0.00013791969,0.00009648973,0.5633202,0.008601907,0.0011121301,0.0013460169,0.41931704],"study_design_scores_gemma":[0.0000041380326,0.0000636698,0.0017049677,0.000011777123,0.000014307895,0.000045362456,0.000015794076,0.99402535,0.003096444,0.0005368494,0.0004689598,0.000012228111],"about_ca_topic_score_codex":0.004731063,"about_ca_topic_score_gemma":0.005076238,"teacher_disagreement_score":0.004731063,"about_ca_system_score_codex":0.00022099479,"about_ca_system_score_gemma":0.00042293244,"threshold_uncertainty_score":0.009407043},"labels":[],"label_agreement":null},{"id":"W2587314941","doi":"10.1109/jestpe.2017.2665340","title":"Design and Implementation of High Power Density Assisting Step-Up Converter With Integrated Battery Balancing Feature","year":2017,"lang":"en","type":"article","venue":"IEEE Journal of Emerging and Selected Topics in Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Flyback converter; Buck–boost converter; Boost converter; Battery (electricity); Flyback transformer; Buck converter; Forward converter; Computer science; Controller (irrigation); Power (physics); Electrical engineering; Electronic engineering; Voltage; Engineering; Transformer","score_opus":0.008833025552997864,"score_gpt":0.26893181902083113,"score_spread":0.26009879346783327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587314941","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12812698,0.001060527,0.83794975,0.00027943242,0.00029776533,0.0004105961,0.00016295776,0.0030793666,0.02863262],"genre_scores_gemma":[0.8145105,0.0006762436,0.16869228,0.00016401267,0.00009342683,0.00019628249,0.00019371544,0.0000793774,0.0153941605],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998259,0.000010480717,0.000009959766,0.000029188246,0.00010627338,0.000018129615],"domain_scores_gemma":[0.9998847,0.0000097399625,0.00001086014,0.000012698437,0.00007357346,0.000008465261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014123064,0.00024488196,0.00037207027,0.00030040808,0.00021955844,0.0005516483,0.0010707307,0.00034659955,0.0023677275],"category_scores_gemma":[0.00015371255,0.00019589516,0.0002073767,0.0003132444,0.00011888656,0.00052979775,0.0001913616,0.0003780862,0.0008992776],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017024681,0.00021949343,0.0014147278,0.00055917824,0.00007530703,0.00061295024,0.00019677142,0.006840546,0.68960136,0.0075704986,0.0044373265,0.28830156],"study_design_scores_gemma":[0.00012921028,0.0015065217,0.0049210372,0.00006869371,0.00014840107,0.0033610575,0.00013433413,0.16297618,0.74880743,0.0018114035,0.07605189,0.00008399555],"about_ca_topic_score_codex":0.0004483265,"about_ca_topic_score_gemma":0.0007175096,"teacher_disagreement_score":0.0023677275,"about_ca_system_score_codex":0.00023182652,"about_ca_system_score_gemma":0.0003333582,"threshold_uncertainty_score":0.007920861},"labels":[],"label_agreement":null},{"id":"W2587699203","doi":"10.1109/tpel.2017.2664922","title":"Completely Decentralized Active Balancing Battery Management System","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":131,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"John Fell Fund, University of Oxford; Jesus College, University of Oxford; Natural Sciences and Engineering Research Council of Canada; University of Oxford","keywords":"Computer science; Battery (electricity); Load management; Control engineering; Distributed computing; Electrical engineering; Engineering; Reliability engineering; Systems engineering; Automotive engineering; Power (physics); Physics","score_opus":0.013309532252492198,"score_gpt":0.258825682973314,"score_spread":0.24551615072082178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587699203","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16435656,0.00043297437,0.79892206,0.0004743196,0.00015801903,0.00018067761,0.0002042963,0.0029420983,0.032329097],"genre_scores_gemma":[0.9808203,0.00006507081,0.014723139,0.00007245631,0.000057685564,0.00009301755,0.00007237157,0.000020496775,0.004075434],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978036,0.000031935513,0.000014489028,0.00006846421,0.00007873286,0.000025985712],"domain_scores_gemma":[0.9997855,0.00003297951,0.00004437866,0.00004747682,0.00007033201,0.00001938396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001733761,0.00029069692,0.00048848696,0.00023697258,0.00056960055,0.00072780106,0.00088816707,0.00042244888,0.0031171695],"category_scores_gemma":[0.00033268798,0.00014945854,0.0001729346,0.00026854887,0.00029205644,0.00067158625,0.0006484832,0.0002765916,0.00079059484],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006173812,0.00032705814,0.0026272116,0.00032356314,0.000107366344,0.00054966955,0.00029964323,0.4264195,0.18386781,0.033365082,0.008765262,0.34273046],"study_design_scores_gemma":[0.00009282368,0.0001879123,0.0007920466,0.000011120917,0.000025585296,0.00018054331,0.000034166656,0.9694,0.011782606,0.009724147,0.0077449586,0.000024069157],"about_ca_topic_score_codex":0.0006813834,"about_ca_topic_score_gemma":0.0008796297,"teacher_disagreement_score":0.0031171695,"about_ca_system_score_codex":0.00034840257,"about_ca_system_score_gemma":0.00044464096,"threshold_uncertainty_score":0.010428011},"labels":[],"label_agreement":null},{"id":"W2587853843","doi":"10.1109/ecce.2016.7854759","title":"A primary full-integrated active filter auxiliary power module in electrified vehicle applications with single-phase onboard chargers","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canada Research Chairs","keywords":"Capacitor; Battery (electricity); Electrical engineering; Inductor; Battery charger; Active filter; Voltage; AC power; Buck converter; Engineering; Power (physics); Harmonic; Boost converter; Computer science; Electronic engineering; Physics","score_opus":0.012071150474013534,"score_gpt":0.24330610776464398,"score_spread":0.23123495729063046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587853843","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41722387,0.0016299579,0.5604005,0.00023170206,0.00020883264,0.0002257057,0.00020606552,0.0026663647,0.017207071],"genre_scores_gemma":[0.95177925,0.0003804684,0.03660036,0.000075893295,0.000040411778,0.00005452207,0.000121612095,0.000049986476,0.010897539],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982566,0.00002611964,0.000008929935,0.00003572584,0.000078464705,0.000025150222],"domain_scores_gemma":[0.99990344,0.000009255228,0.0000102257945,0.000015832025,0.00004926944,0.00001192896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015896601,0.00035870977,0.00041068543,0.00031049,0.00021756164,0.000466484,0.001367751,0.00051072333,0.0025419428],"category_scores_gemma":[0.00013577237,0.00015018742,0.00030762484,0.00031694112,0.0001399145,0.0007948224,0.00031014564,0.00037340296,0.00079290813],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054085464,0.00024783594,0.0023092525,0.0005194633,0.00009410039,0.000607327,0.00018371361,0.0050239502,0.7012128,0.0034264415,0.0028542888,0.28297997],"study_design_scores_gemma":[0.0001936558,0.004090781,0.010054643,0.000082938146,0.000210545,0.0033409125,0.00016930034,0.13558137,0.77243197,0.001734053,0.07204282,0.00006701928],"about_ca_topic_score_codex":0.00044073252,"about_ca_topic_score_gemma":0.00046495392,"teacher_disagreement_score":0.0025419428,"about_ca_system_score_codex":0.00021114059,"about_ca_system_score_gemma":0.00024177876,"threshold_uncertainty_score":0.008503616},"labels":[],"label_agreement":null},{"id":"W2588345480","doi":"10.1109/ecce.2016.7855485","title":"Switching pattern of a modular voltage balancing circuit for battery cells","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Modular design; Voltage; Computer science; Battery (electricity); Electrical engineering; Engineering; Power (physics); Physics","score_opus":0.015704645095684998,"score_gpt":0.23485222770479908,"score_spread":0.21914758260911407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588345480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6198036,0.00023234132,0.35537013,0.00024915655,0.0001804716,0.0002499171,0.0003729664,0.0026387298,0.020902608],"genre_scores_gemma":[0.9574277,0.00005166234,0.03876466,0.000080016274,0.00001910448,0.000070901246,0.00010806542,0.000046265068,0.003431722],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989676,0.00001107067,0.000006749112,0.000027534603,0.000041864787,0.00001594003],"domain_scores_gemma":[0.9998591,0.000024364323,0.000024229792,0.000028065908,0.000048627007,0.00001563149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000076495446,0.00025078762,0.00013099783,0.0003397365,0.00017920678,0.00028535002,0.0008024983,0.0002919081,0.0034327868],"category_scores_gemma":[0.00022352907,0.00010751409,0.000091196016,0.00028707844,0.00014096372,0.00026624653,0.00013329463,0.00020902295,0.00044382026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003155435,0.00015425483,0.0009989161,0.00012945014,0.0000201776,0.0001528722,0.00010758508,0.015632544,0.80414546,0.006741478,0.0018850724,0.16971673],"study_design_scores_gemma":[0.00015434704,0.0017412284,0.0067882272,0.000045622375,0.000041290194,0.00082445354,0.000049294897,0.28277224,0.6751766,0.0067698285,0.025586499,0.000050291364],"about_ca_topic_score_codex":0.00037997216,"about_ca_topic_score_gemma":0.0006080194,"teacher_disagreement_score":0.0034327868,"about_ca_system_score_codex":0.00030105116,"about_ca_system_score_gemma":0.00016830559,"threshold_uncertainty_score":0.0114837885},"labels":[],"label_agreement":null},{"id":"W2588359989","doi":"10.1109/ecce.2016.7855266","title":"Modeling, parameterization, and benchmarking of a lithium ion electric bicycle battery","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canada Research Chairs","keywords":"Battery (electricity); Benchmarking; Lithium-ion battery; Simulation; Electric vehicle; Computer science; Power (physics); Automotive engineering; Engineering","score_opus":0.013859020912527534,"score_gpt":0.23835858648390637,"score_spread":0.22449956557137885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588359989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8461498,0.0009898957,0.13596894,0.00030105698,0.000050547977,0.00026844614,0.0014309105,0.0020925954,0.0127477795],"genre_scores_gemma":[0.9914172,0.00022599057,0.005319399,0.000015074739,0.0000028804359,0.00010023901,0.00034315724,0.000035331657,0.0025407095],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998029,0.000033087672,0.000016287357,0.000027829337,0.00010273771,0.000017095312],"domain_scores_gemma":[0.9998481,0.000035711244,0.000012343606,0.000034995155,0.000062007595,0.000006709087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025907968,0.00057791325,0.00054490025,0.00046367262,0.00031470577,0.0007058888,0.0012777493,0.00051923434,0.0014744947],"category_scores_gemma":[0.0005687886,0.00015569794,0.0002680828,0.0005776671,0.0002064266,0.00062967994,0.0003202607,0.00029829016,0.00045422607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045540015,0.00020296962,0.00694818,0.00058378174,0.000071871975,0.0006923983,0.00043358488,0.72754014,0.1714696,0.0018663171,0.0022860358,0.0874498],"study_design_scores_gemma":[0.00002450757,0.0006141149,0.0034843544,0.000026034486,0.00003392378,0.00027958764,0.00014565502,0.9167673,0.07307753,0.0006293446,0.0048715863,0.000046045927],"about_ca_topic_score_codex":0.005137432,"about_ca_topic_score_gemma":0.0035715916,"teacher_disagreement_score":0.005137432,"about_ca_system_score_codex":0.00057461363,"about_ca_system_score_gemma":0.00044864736,"threshold_uncertainty_score":0.010215104},"labels":[],"label_agreement":null},{"id":"W2589551076","doi":"10.4271/2017-01-1207","title":"Measurement of Temperature Gradient (dT/dy) and Temperature Response (dT/dt) of a Prismatic Lithium-Ion Pouch Cell with LiFePO&lt;sub&gt;4&lt;/sub&gt; Cathode Material","year":2017,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Lithium (medication); Materials science; Cathode; Temperature measurement; Ion; Lithium iron phosphate; Analytical Chemistry (journal); Pouch; Temperature gradient; Chemistry; Thermodynamics; Physics; Electrode; Chromatography; Physical chemistry","score_opus":0.011930322816074033,"score_gpt":0.2361061221271504,"score_spread":0.22417579931107637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2589551076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917201,0.00017527038,0.0067175347,0.000047630412,0.000019918654,0.00001809221,0.0002983944,0.00013135035,0.00087177474],"genre_scores_gemma":[0.99357516,0.00016152802,0.005087703,0.00003474589,0.000005406279,0.000036623314,0.00018297938,0.000016499836,0.00089922926],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978155,0.00002066312,0.000015671952,0.00007066055,0.000083661944,0.000027859256],"domain_scores_gemma":[0.9996275,0.00011362336,0.00008352063,0.000044073768,0.00010190117,0.000029346389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022744181,0.0003141473,0.00028846477,0.00022044108,0.0002220936,0.00021444584,0.0005332047,0.00044819742,0.0013277074],"category_scores_gemma":[0.0004249721,0.00016813284,0.00020759233,0.0003674501,0.00029569876,0.00036542173,0.00022100595,0.00043589104,0.00024288247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017766541,0.000029976605,0.0010352635,0.000056921257,0.0000068577324,0.000055316963,0.000054171403,0.0002903309,0.9947621,0.0000412707,0.0000616813,0.0034284708],"study_design_scores_gemma":[0.000010973751,0.00038972782,0.008633672,0.000004183662,0.000014540603,0.00015849448,0.000071399285,0.0039200243,0.9863624,0.000022423435,0.00039530153,0.000016793912],"about_ca_topic_score_codex":0.0005265135,"about_ca_topic_score_gemma":0.0006979679,"teacher_disagreement_score":0.0013277074,"about_ca_system_score_codex":0.00022016803,"about_ca_system_score_gemma":0.00021674979,"threshold_uncertainty_score":0.0044415593},"labels":[],"label_agreement":null},{"id":"W2592379063","doi":"10.1016/j.jpowsour.2017.03.010","title":"Simulation of lithium ion battery replacement in a battery pack for application in electric vehicles","year":2017,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery pack; Battery (electricity); Software deployment; State of health; Automotive engineering; Lithium-ion battery; Interval (graph theory); Electric vehicle; Limiting; State of charge; Computer science; Simulation; Engineering; Electrical engineering; Mechanical engineering; Power (physics); Mathematics","score_opus":0.017839111210560456,"score_gpt":0.2988396351751725,"score_spread":0.281000523964612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592379063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.943577,0.00027765473,0.022748288,0.00050173263,0.00013755538,0.0000757732,0.0010001239,0.00046170058,0.031220097],"genre_scores_gemma":[0.99378335,0.000060642586,0.0021785637,0.000037086545,0.000006727541,0.000026891847,0.00019239781,0.000028898075,0.003685401],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999044,0.00002570392,0.0000055769638,0.000012863456,0.000023682474,0.000027759374],"domain_scores_gemma":[0.9993894,0.0003766844,0.000032606593,0.000027566231,0.00013302683,0.000040661995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020439463,0.00045279902,0.0006375676,0.0005324409,0.0005185943,0.00070509507,0.0010012443,0.0013096181,0.0068532056],"category_scores_gemma":[0.0010424088,0.0003210531,0.00064795814,0.0005324076,0.00044323027,0.0005349085,0.00031495432,0.00057886064,0.0003335906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000944195,0.000050438433,0.0013320848,0.0000371115,0.000012096245,0.00009727854,0.000028322605,0.99506193,0.00061029464,0.0005664551,0.00035395983,0.001755603],"study_design_scores_gemma":[0.0000142286835,0.000034842215,0.00032491217,0.0000037395591,0.0000065798567,0.000010152367,0.000025826223,0.9988011,0.0003856441,0.00017288503,0.00021685283,0.0000031351115],"about_ca_topic_score_codex":0.029163903,"about_ca_topic_score_gemma":0.018355869,"teacher_disagreement_score":0.029163903,"about_ca_system_score_codex":0.0007894931,"about_ca_system_score_gemma":0.0009087126,"threshold_uncertainty_score":0.057988286},"labels":[],"label_agreement":null},{"id":"W2592404563","doi":"10.1016/j.trb.2017.01.020","title":"Battery degradation and behaviour for electric vehicles: Review and numerical analyses of several models","year":2017,"lang":"en","type":"article","venue":"Transportation Research Part B Methodological","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":491,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Context (archaeology); Range (aeronautics); Automotive engineering; Battery electric vehicle; Driving range; Degradation (telecommunications); Computer science; Electric vehicle; Distribution (mathematics); Engineering; Power (physics); Telecommunications; Aerospace engineering","score_opus":0.5325503338727193,"score_gpt":0.5214337415575737,"score_spread":0.011116592315145613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592404563","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03508755,0.8381018,0.109306075,0.0011355061,0.00035436425,0.00011242538,0.0016594063,0.0003388427,0.013904068],"genre_scores_gemma":[0.24462451,0.729528,0.017799005,0.00037180012,0.00041761843,0.0002372168,0.0014245936,0.00013402673,0.0054631587],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972767,0.00005002154,0.000041086758,0.00006381004,0.000095064446,0.000022228382],"domain_scores_gemma":[0.998934,0.0006619118,0.000101759804,0.000059025908,0.00022989449,0.0000133711055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007539396,0.0011062325,0.0019546852,0.0016275846,0.00031791133,0.0011298308,0.002520695,0.0016216987,0.0013430727],"category_scores_gemma":[0.0021098002,0.00047896613,0.0015050891,0.0027764523,0.000553631,0.0016589882,0.00055235124,0.00073516497,0.0007561954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002662943,0.00023536051,0.0053511155,0.03209068,0.0006685444,0.0005570799,0.00051563705,0.40625554,0.0073304097,0.039600544,0.015522547,0.4916062],"study_design_scores_gemma":[0.00007494573,0.0005847971,0.010853728,0.006374201,0.0025764937,0.0024500743,0.0008138104,0.5844702,0.019840393,0.0876684,0.28395614,0.0003367906],"about_ca_topic_score_codex":0.0059134513,"about_ca_topic_score_gemma":0.004176189,"teacher_disagreement_score":0.0059134513,"about_ca_system_score_codex":0.0010650443,"about_ca_system_score_gemma":0.00097110315,"threshold_uncertainty_score":0.011758029},"labels":[],"label_agreement":null},{"id":"W2593827335","doi":"10.1080/10407782.2016.1277938","title":"Numerical modeling and experimental investigation of a prismatic battery subjected to water cooling","year":2017,"lang":"en","type":"article","venue":"Numerical Heat Transfer Part A Applications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Ontario Institute of Technology","funders":"","keywords":"Battery (electricity); Materials science; Computational fluid dynamics; Anode; Cathode; Heat generation; Mechanics; Nuclear engineering; Thermal; Cold start (automotive); Electrode; Thermodynamics; Mechanical engineering; Electrical engineering; Chemistry; Power (physics); Engineering; Physics","score_opus":0.031065542360179717,"score_gpt":0.2878100150344348,"score_spread":0.2567444726742551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593827335","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90793484,0.0002610861,0.08356148,0.00015116716,0.000056091998,0.00007762126,0.00045693325,0.0002818277,0.007218977],"genre_scores_gemma":[0.9859386,0.00018924286,0.011254897,0.000015347183,0.0000033345086,0.00007128358,0.00013273781,0.000018422063,0.0023761615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999889,0.00000914851,0.0000052425057,0.00001698802,0.000065322456,0.00001427855],"domain_scores_gemma":[0.9998671,0.00004315048,0.000017172148,0.000017899598,0.000046680514,0.000007975082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020853922,0.00023694344,0.0003176729,0.00023087932,0.0002842506,0.00032783236,0.0005520455,0.00045058844,0.0013356456],"category_scores_gemma":[0.00047916247,0.00013189651,0.0002832591,0.00029123758,0.00038510587,0.00035236435,0.0002843254,0.00023940182,0.0001752571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018797291,0.000084772415,0.0032266506,0.0002469472,0.000015959466,0.0003303797,0.00017304016,0.7426505,0.2344706,0.0022601578,0.0004022671,0.015950732],"study_design_scores_gemma":[0.000013727288,0.00017682025,0.0018372006,0.0000101381165,0.000009925999,0.00006612176,0.00010205269,0.92385995,0.072138,0.00032747298,0.001440305,0.000018269802],"about_ca_topic_score_codex":0.0031690565,"about_ca_topic_score_gemma":0.0026635437,"teacher_disagreement_score":0.0031690565,"about_ca_system_score_codex":0.00034145857,"about_ca_system_score_gemma":0.0007079253,"threshold_uncertainty_score":0.006301224},"labels":[],"label_agreement":null},{"id":"W2595424836","doi":"10.1149/ma2011-02/17/1482","title":"Symmetric Li-ion Cells as an Essential Research Tool","year":2011,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Ion; Chemistry; Computer science; Organic chemistry","score_opus":0.05197094882569319,"score_gpt":0.31564754424631036,"score_spread":0.26367659542061717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595424836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5428456,0.044860058,0.15620628,0.011176134,0.007894067,0.0006493956,0.0076400037,0.0026450665,0.22608343],"genre_scores_gemma":[0.8300453,0.019029174,0.040593747,0.0015100252,0.00061720697,0.00030236715,0.0031165753,0.00029151986,0.10449408],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999845,0.00001824315,0.000011011804,0.00002723263,0.00007298367,0.000025571517],"domain_scores_gemma":[0.99981576,0.000025019499,0.000016759997,0.00005376776,0.000067163885,0.000021476695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041269837,0.0003383539,0.0004442853,0.00019333074,0.00030421047,0.0008645514,0.0010412813,0.0005488398,0.016381145],"category_scores_gemma":[0.00037765538,0.00013064366,0.00018019578,0.00037159136,0.00036527717,0.0015974316,0.0004972324,0.0005862385,0.0053553907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006273417,0.00010467747,0.00031233282,0.00075995555,0.000020256883,0.0001720461,0.00003645088,0.0005316432,0.8815956,0.034333162,0.010281517,0.07122499],"study_design_scores_gemma":[0.0000831116,0.0007819471,0.0004965213,0.000062133186,0.00004770386,0.0004573519,0.00007925173,0.0021653082,0.87185323,0.00793193,0.11602366,0.000017886952],"about_ca_topic_score_codex":0.0002480425,"about_ca_topic_score_gemma":0.000457139,"teacher_disagreement_score":0.016381145,"about_ca_system_score_codex":0.00034031106,"about_ca_system_score_gemma":0.0005017632,"threshold_uncertainty_score":0.05480039},"labels":[],"label_agreement":null},{"id":"W2596250477","doi":"10.1149/ma2010-03/1/757","title":"HQ Li<sub>4</sub>Ti<sub>5</sub>O<sub>12</sub>/LiFePO<sub>4</sub> Power Battery for Fast Charge Applications","year":2010,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Battery (electricity); Charge (physics); Electrical engineering; Power (physics); Materials science; Computer science; Physics; Engineering; Thermodynamics","score_opus":0.011940253056923618,"score_gpt":0.24275766599065587,"score_spread":0.23081741293373226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2596250477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6950037,0.008527234,0.03940341,0.0017273466,0.0022101696,0.00042012564,0.006317021,0.002790255,0.2436008],"genre_scores_gemma":[0.79794914,0.0019379753,0.003840673,0.00046364593,0.00017683361,0.0001050642,0.002811754,0.00019952406,0.19251537],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990296,0.0000045368492,0.000004891937,0.000012868861,0.000048775633,0.000026023323],"domain_scores_gemma":[0.9999031,0.000008998148,0.000008977652,0.000014764864,0.000054043074,0.0000102388585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015121645,0.00023961237,0.00021301607,0.0002350576,0.00022754638,0.0006255526,0.0006191759,0.0003117292,0.046309352],"category_scores_gemma":[0.00021805757,0.00013230981,0.00016570886,0.00026153968,0.00018744411,0.0009651244,0.00036754855,0.0003341091,0.006595696],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002536235,0.00020423417,0.004581325,0.0021787477,0.000081144724,0.0008295205,0.00029996637,0.0014726134,0.73615587,0.011876058,0.046894222,0.19288997],"study_design_scores_gemma":[0.00041957872,0.0019817606,0.014466807,0.00021189006,0.00012739103,0.0014153332,0.00077134813,0.0040549994,0.6648484,0.004055069,0.30757582,0.00007160998],"about_ca_topic_score_codex":0.0017784669,"about_ca_topic_score_gemma":0.0027423212,"teacher_disagreement_score":0.046309352,"about_ca_system_score_codex":0.00030217404,"about_ca_system_score_gemma":0.00025876862,"threshold_uncertainty_score":0.15492022},"labels":[],"label_agreement":null},{"id":"W2598797644","doi":"10.1049/iet-est.2016.0060","title":"Characterisation of the electric drive of EV: on‐road versus off‐road method","year":2017,"lang":"en","type":"article","venue":"IET Electrical Systems in Transportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Automotive engineering; Electric cars; Engineering; Road transport; Forensic engineering; Transport engineering; Environmental science; Materials science","score_opus":0.022216071520666285,"score_gpt":0.3051302915973336,"score_spread":0.28291422007666733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2598797644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8436062,0.0016152624,0.12422715,0.00010081017,0.00016303695,0.00023975944,0.0012279963,0.00063423964,0.028185572],"genre_scores_gemma":[0.97885966,0.00054751826,0.0131801935,0.00004204064,0.000015734042,0.00008749355,0.0005695836,0.00008388861,0.006613846],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995123,0.000041213952,0.000017565511,0.000082402636,0.00030751547,0.000039051152],"domain_scores_gemma":[0.9996462,0.00007845331,0.00003286638,0.00006436411,0.00016644465,0.000011629536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022007673,0.00042597088,0.00033610515,0.0007292708,0.00019656066,0.0006319113,0.0005537999,0.00049725117,0.0031794852],"category_scores_gemma":[0.00059074,0.00011156348,0.00021405157,0.00043594546,0.00027189008,0.00047262752,0.00043380144,0.00027588,0.0013188608],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073621597,0.0002893737,0.016055834,0.0010454612,0.00008307784,0.00049250684,0.0006432419,0.0050353757,0.7249338,0.0017098314,0.0020920364,0.24688332],"study_design_scores_gemma":[0.000030325653,0.0010812614,0.06614478,0.00007248624,0.000074284144,0.0011493296,0.0011553046,0.03326227,0.87328446,0.00083110447,0.022846019,0.00006830682],"about_ca_topic_score_codex":0.00054050004,"about_ca_topic_score_gemma":0.0011832009,"teacher_disagreement_score":0.0031794852,"about_ca_system_score_codex":0.00015440342,"about_ca_system_score_gemma":0.00014049618,"threshold_uncertainty_score":0.010636449},"labels":[],"label_agreement":null},{"id":"W2599728464","doi":"10.1149/ma2011-02/17/1251","title":"(Technology Award of the Battery Division) Studies of the Effects of Electrolyte Additives in Li-Ion Cells","year":2011,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Electrolyte; Battery (electricity); Division (mathematics); Ion; Materials science; Engineering physics; Engineering; Chemical engineering; Chemistry; Physics; Thermodynamics; Electrode; Physical chemistry; Mathematics; Organic chemistry","score_opus":0.015399726371782092,"score_gpt":0.24960134234187628,"score_spread":0.2342016159700942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2599728464","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19572663,0.07659512,0.015663305,0.12097155,0.18976212,0.002655126,0.027281512,0.0023554584,0.36898917],"genre_scores_gemma":[0.20628095,0.016876902,0.006371711,0.006447917,0.01377466,0.0003758012,0.009751093,0.0002366142,0.7398844],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994831,0.000046533674,0.000036714402,0.00005610378,0.00025364847,0.000123812],"domain_scores_gemma":[0.99789727,0.00015179966,0.000057161295,0.000085999,0.001254707,0.0005530626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013113312,0.0005108918,0.0007606242,0.0007174347,0.0008206535,0.0006719595,0.0009461697,0.0013883943,0.07117919],"category_scores_gemma":[0.0013272535,0.00017936644,0.00058540015,0.0005850992,0.0003086816,0.0007101142,0.00070603675,0.0008614185,0.013678299],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009656682,0.0009003257,0.0034793506,0.0011169927,0.00012464555,0.0012547391,0.00022786508,0.0012276748,0.099571474,0.015866041,0.61070657,0.25586763],"study_design_scores_gemma":[0.00092113967,0.0048241373,0.010600574,0.00013048046,0.00012313217,0.000832827,0.00011932603,0.0011289521,0.07241895,0.0021755437,0.9066643,0.00006058422],"about_ca_topic_score_codex":0.0030470917,"about_ca_topic_score_gemma":0.0042004283,"teacher_disagreement_score":0.07117919,"about_ca_system_score_codex":0.00059278734,"about_ca_system_score_gemma":0.001601164,"threshold_uncertainty_score":0.23811811},"labels":[],"label_agreement":null},{"id":"W2603306256","doi":"10.1109/tie.2017.2686362","title":"Constant Current Fast Charging of Electric Vehicles via a DC Grid Using a Dual-Inverter Drive","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical engineering; Inverter; Battery charger; Electric vehicle; Voltage; Rectifier (neural networks); Constant current; Traction (geology); Grid; Computer science; Engineering; Power (physics); Topology (electrical circuits); Battery (electricity); Automotive engineering; Physics","score_opus":0.04548563801138733,"score_gpt":0.2910675519146818,"score_spread":0.24558191390329448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2603306256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56787634,0.0004430859,0.39272267,0.00031408455,0.00020647395,0.0002053087,0.00030063838,0.0024628013,0.035468575],"genre_scores_gemma":[0.96704316,0.00010448482,0.02787936,0.000040447132,0.00001501208,0.000031579664,0.00006742934,0.0000371688,0.0047813696],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998666,0.000011361342,0.000007340921,0.00003237867,0.0000677541,0.0000145214735],"domain_scores_gemma":[0.99992085,0.0000115696685,0.00001084205,0.000021955415,0.000025593683,0.000009163828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008235614,0.00021413833,0.00025839783,0.00026880685,0.00023451138,0.00050733227,0.0007092789,0.00020052522,0.002112788],"category_scores_gemma":[0.00015489565,0.00011214348,0.00010407807,0.00031498884,0.00020124156,0.00058633013,0.0003667208,0.00029877285,0.00050600804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007938118,0.00042669306,0.0024440133,0.0004401009,0.000035858568,0.0005389314,0.00024280309,0.01159535,0.61871266,0.010384828,0.004968888,0.349416],"study_design_scores_gemma":[0.00023651654,0.0019042175,0.004207388,0.00005162408,0.000055023873,0.0014423023,0.0001978191,0.27687296,0.65934336,0.004482142,0.051153503,0.000053203916],"about_ca_topic_score_codex":0.00035002056,"about_ca_topic_score_gemma":0.0008921611,"teacher_disagreement_score":0.002112788,"about_ca_system_score_codex":0.00024275862,"about_ca_system_score_gemma":0.00019343215,"threshold_uncertainty_score":0.007067919},"labels":[],"label_agreement":null},{"id":"W2604362235","doi":"10.1109/tia.2017.2692198","title":"Investigation of DC-Link Voltage and Temperature Variations on EV Traction System Design","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Traction (geology); Voltage; Automotive engineering; Electric vehicle; Electrical engineering; Battery (electricity); Traction substation; Engineering; Traction motor; Power (physics); Computer science; Mechanical engineering; Physics; Transformer","score_opus":0.03967879398426269,"score_gpt":0.276437848759732,"score_spread":0.2367590547754693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604362235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95785254,0.00054758653,0.032807525,0.00009891234,0.000031196483,0.000073031035,0.00017849327,0.00021039447,0.008200403],"genre_scores_gemma":[0.99743456,0.00009090018,0.0014667985,0.000006412975,0.0000032500864,0.00001008038,0.0000415389,0.000015080837,0.0009314918],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997938,0.0000467428,0.000011012197,0.000038585604,0.00007916836,0.000030741332],"domain_scores_gemma":[0.9996358,0.00013628678,0.00004604544,0.000030864074,0.00014147261,0.000009600021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024833664,0.00025420316,0.00026261862,0.00024175383,0.00023151992,0.00043785083,0.00036100057,0.000268964,0.0016630113],"category_scores_gemma":[0.000800002,0.00010738478,0.00013557287,0.00022450883,0.00015971185,0.00042722706,0.00019729487,0.00019183896,0.0003421318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013828583,0.00021595211,0.019494584,0.0009602747,0.00008936505,0.0007098437,0.00041557394,0.39932165,0.39577943,0.0023921875,0.0013189808,0.17791934],"study_design_scores_gemma":[0.000039045517,0.00351141,0.042890474,0.00007306931,0.00013680702,0.00073775434,0.00047074826,0.59734154,0.3424354,0.001001455,0.011313315,0.000049053604],"about_ca_topic_score_codex":0.0009749165,"about_ca_topic_score_gemma":0.0016859262,"teacher_disagreement_score":0.0016630113,"about_ca_system_score_codex":0.00042491234,"about_ca_system_score_gemma":0.00019261352,"threshold_uncertainty_score":0.005563259},"labels":[],"label_agreement":null},{"id":"W2604439854","doi":"10.1016/j.energy.2017.03.119","title":"An adaptive model predictive controller for a novel battery-powered anti-idling system of service vehicles","year":2017,"lang":"en","type":"article","venue":"Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Astellas Pharma US","keywords":"Powertrain; Model predictive control; Driving cycle; Truck; Automotive engineering; Robustness (evolution); Engineering; Controller (irrigation); Fuel efficiency; Control engineering; Computer science; Control theory (sociology); Electric vehicle; Power (physics); Torque; Control (management)","score_opus":0.028239282645480167,"score_gpt":0.26839579051348983,"score_spread":0.24015650786800966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604439854","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.085194655,0.0010946327,0.89182615,0.00052290154,0.00089144206,0.0001840272,0.00009985853,0.002150734,0.01803561],"genre_scores_gemma":[0.97936934,0.0001812813,0.016089939,0.00010415482,0.00006434582,0.00007552174,0.000041426094,0.000016900587,0.0040572165],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998375,0.00001787761,0.000010668746,0.000047096553,0.000060730876,0.000026023403],"domain_scores_gemma":[0.9998498,0.000024823961,0.000019499832,0.000012268809,0.00008351045,0.000010017273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002574734,0.000530204,0.0005950828,0.00028182307,0.00070593215,0.0008047601,0.001013222,0.00063510315,0.0021738508],"category_scores_gemma":[0.00028393697,0.0001993068,0.00028743036,0.00021705174,0.00030063812,0.00030948519,0.00045126825,0.0006252105,0.0005076148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010057511,0.0003217834,0.0017250216,0.00078047457,0.0002200331,0.0009591902,0.00042675095,0.4720076,0.14966235,0.011409105,0.010063232,0.35141873],"study_design_scores_gemma":[0.000049103073,0.0002355725,0.00043672262,0.000015871878,0.000037144488,0.00010464458,0.000022532282,0.9866931,0.008325678,0.00056865875,0.003496796,0.000014255249],"about_ca_topic_score_codex":0.0052475985,"about_ca_topic_score_gemma":0.007448313,"teacher_disagreement_score":0.0052475985,"about_ca_system_score_codex":0.00040752534,"about_ca_system_score_gemma":0.0006763242,"threshold_uncertainty_score":0.010434091},"labels":[],"label_agreement":null},{"id":"W2604776959","doi":"10.3390/batteries3020012","title":"Comparative Study of Online Open Circuit Voltage Estimation Techniques for State of Charge Estimation of Lithium-Ion Batteries","year":2017,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"State of charge; Open-circuit voltage; Voltage; Computer science; Battery (electricity); Estimation; Lithium (medication); Control theory (sociology); Observer (physics); Recursive least squares filter; Electrical engineering; Adaptive filter; Algorithm; Engineering; Control (management); Power (physics); Artificial intelligence","score_opus":0.06901632895994517,"score_gpt":0.37055398358082514,"score_spread":0.30153765462088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604776959","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40220317,0.007100665,0.5821002,0.00023191648,0.0001476197,0.000087837594,0.00006395412,0.0010998402,0.0069647203],"genre_scores_gemma":[0.96294206,0.0014522279,0.033977754,0.000040187082,0.00004332957,0.000037013215,0.00008361844,0.000035322835,0.0013886717],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991825,0.00023518784,0.00007543375,0.000105636085,0.0003603544,0.00004095692],"domain_scores_gemma":[0.99727964,0.001547263,0.00018168973,0.00019877883,0.00076661573,0.000026004425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011513431,0.00048606706,0.0005303427,0.00092721265,0.0001811215,0.00056589535,0.0005307571,0.0006372672,0.0006350499],"category_scores_gemma":[0.0040489254,0.00018551917,0.00035433265,0.00037106746,0.00019880269,0.001192506,0.00031733632,0.00034796027,0.0001602569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012032946,0.00025282078,0.0054731187,0.00081347034,0.00018670908,0.00021520599,0.00039208017,0.10427814,0.074415214,0.0018609046,0.00078428193,0.8101249],"study_design_scores_gemma":[0.000050967486,0.0011875723,0.013083606,0.000064980224,0.0001423949,0.0002929795,0.00019303251,0.8700211,0.10972583,0.00065477414,0.004508309,0.00007447675],"about_ca_topic_score_codex":0.0015039057,"about_ca_topic_score_gemma":0.0011126306,"teacher_disagreement_score":0.0015039057,"about_ca_system_score_codex":0.00023682597,"about_ca_system_score_gemma":0.00021709726,"threshold_uncertainty_score":0.0060889125},"labels":[],"label_agreement":null},{"id":"W2605163562","doi":"10.1016/j.energy.2017.04.018","title":"A novel anti-idling system for service vehicles","year":2017,"lang":"en","type":"article","venue":"Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Automotive engineering; Truck; Powertrain; Engineering; Battery (electricity); Battery pack; Fuel efficiency; Auxiliary power unit; Idle; Modular design; State of charge; Regenerative brake; Power (physics); Computer science; Voltage; Electrical engineering; Torque","score_opus":0.029455993542000136,"score_gpt":0.27211665572941623,"score_spread":0.2426606621874161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605163562","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14585751,0.0021761025,0.7779669,0.0010521037,0.0025905555,0.00052407966,0.00060866826,0.020393744,0.04883033],"genre_scores_gemma":[0.89498055,0.00038210617,0.0748594,0.0009407263,0.00032009944,0.00014274832,0.00041119618,0.00012537355,0.027837718],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975175,0.00002286134,0.0000172524,0.000072656025,0.00009253689,0.000042954183],"domain_scores_gemma":[0.9997501,0.000019739462,0.00001916072,0.000035734858,0.00014809202,0.000027103792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018755335,0.0005833644,0.00076426147,0.0008195845,0.0010046728,0.00086089614,0.0016771739,0.00072319293,0.0074906317],"category_scores_gemma":[0.00018891323,0.00021875145,0.0002871956,0.0003977963,0.00021441396,0.00072990457,0.00065516634,0.00043495564,0.0035516466],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015436318,0.0005768956,0.0022942543,0.0006760983,0.00011886842,0.00071745785,0.00019908992,0.007488574,0.42670503,0.008334575,0.02947012,0.52187544],"study_design_scores_gemma":[0.00027380686,0.002465296,0.003364221,0.00010193159,0.0002889052,0.003192488,0.00019061026,0.51467013,0.35200948,0.004069954,0.11921644,0.0001567989],"about_ca_topic_score_codex":0.0013416148,"about_ca_topic_score_gemma":0.0024732596,"teacher_disagreement_score":0.0074906317,"about_ca_system_score_codex":0.000423686,"about_ca_system_score_gemma":0.0006652169,"threshold_uncertainty_score":0.025058687},"labels":[],"label_agreement":null},{"id":"W2606075113","doi":"10.1149/ma2012-02/5/367","title":"Current Collectors for Secondary Zinc Electrodes","year":2012,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Current (fluid); Zinc; Electrode; Environmental science; Materials science; Metallurgy; Electrical engineering; Chemistry; Engineering","score_opus":0.022086878964496796,"score_gpt":0.2864630796288217,"score_spread":0.26437620066432493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606075113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55539614,0.022424813,0.21528772,0.005665777,0.008651422,0.0037397519,0.014241405,0.012197146,0.16239579],"genre_scores_gemma":[0.8384657,0.004156445,0.044498857,0.0005351729,0.00045483685,0.0004944751,0.002903974,0.00056034845,0.10793012],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996145,0.000017417004,0.000022187365,0.000095969466,0.00017869197,0.00007122927],"domain_scores_gemma":[0.9990839,0.00015565609,0.00007589299,0.00014893601,0.00046353342,0.00007214986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051910913,0.00054990774,0.0010078916,0.0009212453,0.0011272706,0.001131211,0.0023770696,0.00095312804,0.03645885],"category_scores_gemma":[0.001542836,0.0002891876,0.00067353994,0.0007420785,0.00040856548,0.0011780076,0.0006086169,0.0009451754,0.009527807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013081506,0.00012785196,0.0007923575,0.0014947829,0.00004279842,0.0004792506,0.00019554642,0.00029180938,0.92976606,0.0059322286,0.016825773,0.0427434],"study_design_scores_gemma":[0.00012911488,0.0004632165,0.0016618592,0.000097212804,0.000070573566,0.0004574709,0.000090006484,0.0022355255,0.9286167,0.0012559671,0.064907335,0.000015050748],"about_ca_topic_score_codex":0.001782663,"about_ca_topic_score_gemma":0.0030990115,"teacher_disagreement_score":0.03645885,"about_ca_system_score_codex":0.0010255718,"about_ca_system_score_gemma":0.0008778776,"threshold_uncertainty_score":0.12196702},"labels":[],"label_agreement":null},{"id":"W2607457160","doi":"10.1149/ma2008-02/12/1287","title":"Life Demonstration of Li-ion Batteries for Geostationary Earth Orbit Batteries","year":2008,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Geostationary orbit; Low earth orbit; Astrobiology; Aerospace engineering; Ion; Orbit (dynamics); Medium Earth orbit; Geocentric orbit; Earth (classical element); Environmental science; Remote sensing; Physics; Astronomy; Geology; Engineering; Satellite","score_opus":0.02580208310759524,"score_gpt":0.25714965071538765,"score_spread":0.2313475676077924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607457160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9773891,0.001024752,0.004126952,0.00041967916,0.00012086373,0.00009329939,0.001247703,0.0004362739,0.015141424],"genre_scores_gemma":[0.9866115,0.00031644324,0.0015614455,0.00005491062,0.000011080625,0.000031314383,0.0006340543,0.000044672637,0.010734653],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998894,0.000011477552,0.000005821674,0.000010503976,0.0000543524,0.000028497354],"domain_scores_gemma":[0.99981064,0.000026839256,0.000011081641,0.000021308071,0.00008850483,0.000041554395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027241136,0.00032425465,0.00018697357,0.00034376213,0.00046702166,0.00037140457,0.00054999685,0.00059614127,0.008431679],"category_scores_gemma":[0.0003350095,0.00007785247,0.0002452701,0.00021178336,0.0002622906,0.0006335205,0.00050846685,0.00032450515,0.0010907603],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019614273,0.00026336373,0.0042431285,0.00040318578,0.000027788474,0.0014687793,0.00060500135,0.0021703984,0.9491337,0.0012900137,0.0039099413,0.034523252],"study_design_scores_gemma":[0.000073013136,0.0020750756,0.004390814,0.000028097977,0.000019334233,0.00033884536,0.00024306746,0.003992085,0.9752533,0.000514458,0.013054835,0.000017082002],"about_ca_topic_score_codex":0.0012610027,"about_ca_topic_score_gemma":0.001966418,"teacher_disagreement_score":0.008431679,"about_ca_system_score_codex":0.00030690362,"about_ca_system_score_gemma":0.00022393417,"threshold_uncertainty_score":0.028206766},"labels":[],"label_agreement":null},{"id":"W2607896206","doi":"10.1149/ma2008-02/6/564","title":"Investigation of Higher Voltage Cathodes and Electrolytes for Lithium Ion Batteries - Invited Talk","year":2008,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Electrolyte; Cathode; Lithium (medication); Ion; Materials science; Voltage; Engineering physics; Electrical engineering; Chemistry; Physics; Engineering; Psychology; Electrode; Physical chemistry","score_opus":0.026232473706754137,"score_gpt":0.2538943759136145,"score_spread":0.2276619022068604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607896206","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8596995,0.07717802,0.021513175,0.0032822546,0.0020566736,0.0002273021,0.0007560309,0.00025975952,0.03502733],"genre_scores_gemma":[0.9199617,0.026526123,0.008947119,0.00041684957,0.0003285576,0.00007651949,0.0011581142,0.0001407582,0.042444233],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997646,0.000023415772,0.000008796857,0.00004312364,0.00011928356,0.00004068215],"domain_scores_gemma":[0.99981445,0.000048906946,0.000011588401,0.000009573629,0.0000944721,0.000021059986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004801345,0.00042671623,0.00051851,0.00037051374,0.0005301873,0.0017616684,0.00068598805,0.00094800146,0.005506615],"category_scores_gemma":[0.0006633148,0.00020727981,0.000382741,0.00023671356,0.0003042688,0.0014802804,0.00050886103,0.00069820805,0.0011663001],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006243368,0.00014737941,0.00061356754,0.0009032002,0.000033285276,0.0004455063,0.00019974996,0.00051779905,0.95863134,0.006660292,0.0022012223,0.029022383],"study_design_scores_gemma":[0.000038474755,0.00063248427,0.0011781867,0.00006171829,0.000032041968,0.0006394703,0.00028624982,0.002447816,0.95753765,0.002353418,0.034771625,0.000020780983],"about_ca_topic_score_codex":0.00046028002,"about_ca_topic_score_gemma":0.00047942085,"teacher_disagreement_score":0.005506615,"about_ca_system_score_codex":0.00040977797,"about_ca_system_score_gemma":0.00030409853,"threshold_uncertainty_score":0.018421412},"labels":[],"label_agreement":null},{"id":"W2608997523","doi":"10.1149/2.1581706jes","title":"Statistical Physics-Based Model of Solid Electrolyte Interphase Growth in Lithium Ion Batteries","year":2017,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Electrolyte; Interphase; Electrode; Ion; Lithium (medication); Materials science; Porosity; Chemistry; Thermodynamics; Physics; Composite material; Physical chemistry","score_opus":0.013958170978509796,"score_gpt":0.2852888408597832,"score_spread":0.27133066988127336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608997523","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14237913,0.002582261,0.81939447,0.00204367,0.00031176562,0.00018709531,0.0007390672,0.0005372272,0.03182532],"genre_scores_gemma":[0.95104986,0.0021515,0.021505073,0.0003909066,0.00019122438,0.0004661148,0.00048129933,0.00023784646,0.023526123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965024,0.00008555158,0.00001710663,0.00004935543,0.00013273013,0.00006490582],"domain_scores_gemma":[0.9988403,0.00064466323,0.00015824116,0.0000597652,0.00022429132,0.0000727521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088750257,0.00089987286,0.0012204575,0.001298925,0.00089961913,0.0014200648,0.0024855542,0.002051252,0.0021778897],"category_scores_gemma":[0.0022708208,0.00071492174,0.0013212337,0.0012209383,0.0019588051,0.0022903637,0.0009624038,0.0012837664,0.00059611996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000185125,0.00003196441,0.00040467945,0.00003700532,0.000020214626,0.0001296805,0.000051813542,0.93416166,0.0020030804,0.061475705,0.00041640678,0.001249253],"study_design_scores_gemma":[0.0000025099564,0.000004738342,0.000068012305,0.0000015962595,0.0000024450887,0.0000108480135,0.000003499216,0.99475104,0.0000872017,0.004930638,0.0001327274,0.000004749725],"about_ca_topic_score_codex":0.012865195,"about_ca_topic_score_gemma":0.005903226,"teacher_disagreement_score":0.012865195,"about_ca_system_score_codex":0.0022642834,"about_ca_system_score_gemma":0.0015223454,"threshold_uncertainty_score":0.025580585},"labels":[],"label_agreement":null},{"id":"W2610857161","doi":"10.1016/j.rser.2017.04.057","title":"Environmental impacts of Lithium Metal Polymer and Lithium-ion stationary batteries","year":2017,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":116,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université de Sherbrooke","funders":"","keywords":"Life-cycle assessment; Environmental science; Battery (electricity); Waste management; Global warming; Environmental impact assessment; Lithium (medication); Electricity; Ozone depletion; Environmental engineering; Process engineering; Environmental economics; Engineering; Production (economics); Ozone; Climate change; Electrical engineering; Chemistry; Ecology; Power (physics)","score_opus":0.01242268904108499,"score_gpt":0.25118221952120323,"score_spread":0.23875953048011825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610857161","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36251882,0.51509404,0.0020840052,0.006784841,0.0016303733,0.000027702274,0.00047928246,0.00012682391,0.11125409],"genre_scores_gemma":[0.65063524,0.32288325,0.00048586444,0.0006592794,0.00075560337,0.000019069204,0.00022599753,0.00003662986,0.024299119],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99950004,0.000101545265,0.000025920664,0.000045163477,0.0002433135,0.00008399144],"domain_scores_gemma":[0.99978536,0.00007829097,0.00003968085,0.000007105292,0.000074517346,0.00001507305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042521866,0.0006038783,0.0004418953,0.0007122407,0.00037910978,0.0012236667,0.0004736382,0.0014575849,0.004854643],"category_scores_gemma":[0.0004646447,0.00015988434,0.0004376065,0.00094831816,0.0005939382,0.0010070158,0.0009846954,0.00052407355,0.00069315016],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027092986,0.00067691813,0.006548111,0.011580798,0.00033657238,0.0029923934,0.0005684788,0.026352687,0.22719699,0.04479406,0.017326849,0.65891683],"study_design_scores_gemma":[0.00008825564,0.0030439869,0.022057056,0.0016183398,0.000526101,0.0019726246,0.0029599548,0.005884518,0.35275203,0.034517527,0.57442915,0.00015033194],"about_ca_topic_score_codex":0.0018228308,"about_ca_topic_score_gemma":0.0023435047,"teacher_disagreement_score":0.004854643,"about_ca_system_score_codex":0.0009295147,"about_ca_system_score_gemma":0.00045062945,"threshold_uncertainty_score":0.016240418},"labels":[],"label_agreement":null},{"id":"W2612649315","doi":"10.1149/ma2017-01/5/412","title":"A Semi-Empirical Aging Model for Lithium Iron Phosphate Electrode","year":2017,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Lithium iron phosphate; Overpotential; Diffusion; Materials science; Lithium (medication); Electrode; Ionic conductivity; Intercalation (chemistry); Ion; Electrochemistry; Analytical Chemistry (journal); Thermodynamics; Chemistry; Inorganic chemistry; Physical chemistry; Chromatography; Physics","score_opus":0.03625205498510201,"score_gpt":0.31929980692196785,"score_spread":0.2830477519368658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612649315","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.078674026,0.0016254134,0.9059486,0.00043995347,0.000117620984,0.00016493317,0.00067151844,0.00093280635,0.011425191],"genre_scores_gemma":[0.9353937,0.001359951,0.04076273,0.00010562727,0.000060657796,0.00047542763,0.00078729994,0.00012014105,0.020934401],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997955,0.000033738314,0.000014513353,0.00007206243,0.00005624015,0.000027937387],"domain_scores_gemma":[0.9996338,0.00013719883,0.000061048646,0.00003071737,0.000129112,0.000008201892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004919014,0.00093394273,0.0007721985,0.00051885366,0.00031502158,0.00064370246,0.0017809888,0.0014688644,0.0026756374],"category_scores_gemma":[0.001215231,0.00042257656,0.0008536291,0.00043554793,0.00040999422,0.00096418837,0.00047781743,0.0010705609,0.0012799248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041217692,0.00003297588,0.0010826852,0.00012549419,0.000027648428,0.00019792229,0.000096696785,0.977554,0.00566532,0.0035332977,0.0005674304,0.011075409],"study_design_scores_gemma":[0.0000016303245,0.0000106708285,0.0001818651,0.0000026991506,0.000006174094,0.00002950984,0.0000041439052,0.9987356,0.00028681444,0.00035599244,0.00038098628,0.0000038846756],"about_ca_topic_score_codex":0.005599167,"about_ca_topic_score_gemma":0.0034270608,"teacher_disagreement_score":0.005599167,"about_ca_system_score_codex":0.0005231278,"about_ca_system_score_gemma":0.0005305664,"threshold_uncertainty_score":0.011133134},"labels":[],"label_agreement":null},{"id":"W2613268919","doi":"10.1109/icit.2017.7915416","title":"Single-phase bidirectional integrated onboard battery charger for EVs featuring a battery-supercapacitor hybrid energy storage system","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Supercapacitor; Battery (electricity); Electrical engineering; Energy storage; Computer science; Inverter; Battery charger; Automotive engineering; Power (physics); Engineering; Voltage; Capacitance; Physics; Electrode","score_opus":0.02966608360732266,"score_gpt":0.2699804370302822,"score_spread":0.24031435342295954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613268919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4779528,0.0021869983,0.4725915,0.00029781973,0.00041343662,0.00030379626,0.0005519303,0.0029674552,0.042734273],"genre_scores_gemma":[0.96935016,0.000377108,0.020906048,0.000046678597,0.0000230926,0.00004214326,0.0001550622,0.000039989805,0.009059624],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992585,0.0000075049225,0.0000047126305,0.000015379817,0.000035518275,0.000010945268],"domain_scores_gemma":[0.9999552,0.000004785144,0.0000057781926,0.000010117252,0.00001852776,0.0000056904933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008991534,0.0003804818,0.0003578436,0.00021301466,0.00026202662,0.00039865632,0.00079533155,0.0003351884,0.0035655387],"category_scores_gemma":[0.00007784497,0.000100789126,0.00023524772,0.0002162323,0.0001400178,0.0005647175,0.00033721232,0.00029027928,0.0010269964],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007420498,0.00036657538,0.002497573,0.00084761647,0.00009436791,0.00091695914,0.0001872093,0.029090647,0.5949537,0.0065395487,0.0060586035,0.35770518],"study_design_scores_gemma":[0.00011544538,0.0017772671,0.00683413,0.0001025983,0.00019508397,0.0016405338,0.0002659647,0.3540378,0.56310946,0.0031297537,0.068729945,0.0000620074],"about_ca_topic_score_codex":0.00054853206,"about_ca_topic_score_gemma":0.001438706,"teacher_disagreement_score":0.0035655387,"about_ca_system_score_codex":0.0001837455,"about_ca_system_score_gemma":0.00017107949,"threshold_uncertainty_score":0.011927962},"labels":[],"label_agreement":null},{"id":"W2614430176","doi":"10.1109/apec.2017.7930923","title":"Performance comparison of two controllers for a modular voltage balancing circuit","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Modular design; Voltage; Transformer; Topology (electrical circuits); Computer science; Battery (electricity); Diode; Electrical engineering; Capacitor; Electronic engineering; Charge (physics); Bridge (graph theory); Control theory (sociology); Engineering; Control (management); Power (physics); Physics","score_opus":0.03941624665038966,"score_gpt":0.3214831595536035,"score_spread":0.28206691290321384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614430176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5925626,0.00091892475,0.37786925,0.00030586543,0.00039856,0.00045497212,0.00028430633,0.0076964404,0.019509062],"genre_scores_gemma":[0.97794056,0.00007057652,0.019363564,0.00006214531,0.000027227323,0.00008840619,0.00010300051,0.000059751514,0.0022847392],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994917,0.00006804191,0.000028167684,0.000116501775,0.0002152397,0.0000804029],"domain_scores_gemma":[0.9992086,0.00029037622,0.00007951553,0.000107878135,0.00025042694,0.00006324072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003973218,0.0007532416,0.00049011,0.0009870665,0.00040036024,0.00088747556,0.0014571263,0.00091723574,0.0070556626],"category_scores_gemma":[0.0011638359,0.0001832589,0.0002531588,0.00037126103,0.00024961398,0.0005538661,0.0003319055,0.00044061383,0.00077172625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004982612,0.0009608554,0.0042425953,0.0010455204,0.00029643424,0.00035520917,0.0003942651,0.1168639,0.41634503,0.0073516835,0.004595096,0.4425668],"study_design_scores_gemma":[0.0004952004,0.0039769965,0.004624197,0.000058926013,0.00016571725,0.00048311224,0.00006693278,0.740317,0.23999852,0.0011619072,0.008576237,0.00007521961],"about_ca_topic_score_codex":0.0014637462,"about_ca_topic_score_gemma":0.0009459254,"teacher_disagreement_score":0.0070556626,"about_ca_system_score_codex":0.0006911353,"about_ca_system_score_gemma":0.00038236007,"threshold_uncertainty_score":0.023603559},"labels":[],"label_agreement":null},{"id":"W2614532692","doi":"10.1002/stc.2024","title":"Battery capacity degradation prediction using similarity recognition based on modified dynamic time warping","year":2017,"lang":"en","type":"article","venue":"Structural Control and Health Monitoring","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Dynamic time warping; Similarity (geometry); Degradation (telecommunications); Battery (electricity); Computer science; Test data; Path (computing); Dynamic similarity; Artificial intelligence; Data mining; Pattern recognition (psychology); Image (mathematics)","score_opus":0.07748470942776227,"score_gpt":0.3318317608714543,"score_spread":0.254347051443692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614532692","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2354545,0.00045452671,0.7593472,0.00013139223,0.000060107177,0.000094589544,0.00032485792,0.0014843302,0.002648512],"genre_scores_gemma":[0.9194942,0.00033678277,0.078243226,0.000037945916,0.00003542245,0.00006725609,0.0004967046,0.000106202555,0.0011822801],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969435,0.000033923665,0.000023643765,0.000087048145,0.00012566244,0.00003552445],"domain_scores_gemma":[0.99927694,0.00018966376,0.0001377732,0.00010193764,0.00025045313,0.000043279557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031398173,0.00076743716,0.00056778284,0.0023782842,0.0002069599,0.0006040803,0.0005591529,0.00056983944,0.0010780725],"category_scores_gemma":[0.0022230337,0.00021624242,0.00057247456,0.0014703843,0.00028360283,0.0012834875,0.00057886227,0.0005600655,0.00071024924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031182615,0.00016993661,0.013102157,0.00016670635,0.00011596741,0.00051027513,0.00017765575,0.34178695,0.053910963,0.0016986809,0.002350888,0.585698],"study_design_scores_gemma":[0.0000028211844,0.000040333805,0.003430714,0.0000056684435,0.000010262248,0.00012301815,0.00002910443,0.9880321,0.0069811614,0.00078319584,0.0005463556,0.000015263458],"about_ca_topic_score_codex":0.0024417194,"about_ca_topic_score_gemma":0.002016619,"teacher_disagreement_score":0.0024417194,"about_ca_system_score_codex":0.00026304062,"about_ca_system_score_gemma":0.00032929142,"threshold_uncertainty_score":0.004854977},"labels":[],"label_agreement":null},{"id":"W2615208232","doi":"10.1149/ma2017-01/20/1090","title":"Numerical Analysis of the Effect of Diaphragm Length, Position and Porosity on the Electric Field and Mass Transport inside a Lithium Electrolysis Cell","year":2017,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université de Sherbrooke","funders":"","keywords":"Overpotential; Anode; Cathode; Materials science; Diaphragm (acoustics); Chemistry; Mechanics; Electrochemistry; Electrode; Electrical engineering; Physics","score_opus":0.006089529709049394,"score_gpt":0.23011354051614,"score_spread":0.2240240108070906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615208232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90557575,0.00094849174,0.06438894,0.000711498,0.00014950508,0.00007728208,0.00034338908,0.00036037597,0.027444754],"genre_scores_gemma":[0.99002796,0.00017685546,0.0071219318,0.00002927259,0.000009705812,0.000034007677,0.00006370083,0.000016841974,0.002519754],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998435,0.000035905323,0.000009585748,0.000023814402,0.000051026687,0.00003619991],"domain_scores_gemma":[0.9992149,0.0004565975,0.000108305576,0.00003983926,0.00013361537,0.00004677253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039900822,0.00043099443,0.00069774315,0.00047217341,0.00077835,0.0011409916,0.00061954925,0.0014916387,0.0019479833],"category_scores_gemma":[0.0013420294,0.00031787044,0.0005535996,0.00058700313,0.0010216575,0.00046775746,0.00049593404,0.00042912542,0.00015642398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012245242,0.00006613061,0.0021449965,0.000097262644,0.000016986016,0.00030962165,0.00008890271,0.9778536,0.013677737,0.0020659533,0.00025954473,0.0032969082],"study_design_scores_gemma":[0.000013269833,0.000046890305,0.00048501763,0.00000936721,0.0000076216347,0.000025918116,0.000038287617,0.9973157,0.001642489,0.00017935131,0.00022778717,0.000008276157],"about_ca_topic_score_codex":0.007849659,"about_ca_topic_score_gemma":0.003630818,"teacher_disagreement_score":0.007849659,"about_ca_system_score_codex":0.00089679915,"about_ca_system_score_gemma":0.0008849971,"threshold_uncertainty_score":0.015607953},"labels":[],"label_agreement":null},{"id":"W2616444095","doi":"10.1109/apec.2017.7931200","title":"Simplified carrier-based modulation scheme for three-phase three-switch rectifier for dc fast charging applications","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Rectifier (neural networks); Modulation (music); Computer science; Topology (electrical circuits); Network topology; Electronic engineering; Power (physics); Electrical engineering; Voltage; Engineering; Computer network; Physics","score_opus":0.05834095618943241,"score_gpt":0.35208626744584454,"score_spread":0.2937453112564121,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616444095","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036919896,0.0015815329,0.926871,0.00031502114,0.00045496592,0.00039719313,0.00020730581,0.0008523345,0.032400854],"genre_scores_gemma":[0.77443564,0.0018674927,0.20579,0.0001713642,0.00016163744,0.0002699135,0.00032712342,0.00007675006,0.016900023],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998683,0.000026352296,0.000012257575,0.000019118408,0.00006452014,0.000009457045],"domain_scores_gemma":[0.9999316,0.000011094995,0.000007833951,0.000018126137,0.000027943268,0.000003390789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011871877,0.0002733693,0.00021562926,0.0002593775,0.00024175846,0.000498837,0.0005957391,0.00038114344,0.006242064],"category_scores_gemma":[0.00023974698,0.00008187161,0.00022776276,0.00042887538,0.00019255055,0.0005377326,0.00017617761,0.00045710173,0.0015162606],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004386518,0.0001328319,0.00034278174,0.0007716985,0.00003053444,0.00033813037,0.00034556474,0.017986806,0.38931954,0.078669444,0.0065316563,0.5050923],"study_design_scores_gemma":[0.00026579716,0.0022326137,0.0023649272,0.00022976847,0.00013342503,0.003458479,0.00018149539,0.5320306,0.2010735,0.021681711,0.23627448,0.00007327548],"about_ca_topic_score_codex":0.00044668504,"about_ca_topic_score_gemma":0.0006433296,"teacher_disagreement_score":0.006242064,"about_ca_system_score_codex":0.00024610752,"about_ca_system_score_gemma":0.00025779643,"threshold_uncertainty_score":0.020881772},"labels":[],"label_agreement":null},{"id":"W2616487776","doi":"10.1149/2.0211711jes","title":"A Study on the Effect of Porosity and Particles Size Distribution on Li-Ion Battery Performance","year":2017,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":118,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec","keywords":"Porosity; Materials science; Ion; Polarization (electrochemistry); Modal; Particle size; Voltage; Range (aeronautics); Current density; Electrode; Particle-size distribution; Volume fraction; Particle (ecology); Analytical Chemistry (journal); Mechanics; Composite material; Chemistry; Physics; Electrical engineering; Engineering","score_opus":0.010383267996431663,"score_gpt":0.258401825053008,"score_spread":0.24801855705657636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616487776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97863597,0.0010769763,0.019139463,0.00004657281,0.000012001175,0.000021806763,0.00014200472,0.00008099715,0.00084417756],"genre_scores_gemma":[0.9973569,0.0004537724,0.0019062408,0.0000055544488,0.0000021474023,0.000010873568,0.000068887704,0.000010077586,0.00018560822],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998635,0.000015921847,0.000007769581,0.000023536171,0.00006970006,0.00001957207],"domain_scores_gemma":[0.99920124,0.0005786421,0.00007119847,0.000046693633,0.00008398675,0.000018211558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002844881,0.0003033049,0.00030174138,0.00027044566,0.00017807118,0.0002503013,0.00030755097,0.0002657558,0.0003226613],"category_scores_gemma":[0.0011856712,0.00015094834,0.00023995049,0.00031041895,0.00020279291,0.0004241325,0.00017343613,0.0002805946,0.00008723606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063281064,0.00023558644,0.0089020375,0.00026130266,0.000037908358,0.00030294847,0.00008471355,0.11183546,0.83998865,0.0007681397,0.0001935445,0.03675678],"study_design_scores_gemma":[0.000019251047,0.0010150954,0.009586367,0.00001279811,0.000048774666,0.00037975772,0.000056342305,0.25151494,0.73589224,0.00035416355,0.0010836045,0.00003669699],"about_ca_topic_score_codex":0.0011133532,"about_ca_topic_score_gemma":0.0010286073,"teacher_disagreement_score":0.0011133532,"about_ca_system_score_codex":0.0002678664,"about_ca_system_score_gemma":0.00015091669,"threshold_uncertainty_score":0.002213776},"labels":[],"label_agreement":null},{"id":"W2617902542","doi":"10.1039/c7ra03963h","title":"Experimental study of a passive thermal management system for three types of battery using copper foam saturated with phase change materials","year":2017,"lang":"en","type":"article","venue":"RSC Advances","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Custom Security Industries (Canada)","funders":"Administration of Quality and Technology Supervision of Guangdong Province","keywords":"Copper; Battery (electricity); Phase change; Phase-change material; Materials science; Thermal; Phase (matter); Chemical engineering; Chemistry; Metallurgy; Thermodynamics; Engineering physics; Engineering; Physics","score_opus":0.05565888899452905,"score_gpt":0.34241716572953196,"score_spread":0.2867582767350029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617902542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99397594,0.00014378289,0.004309879,0.000055001023,0.00007230017,0.00007420562,0.0002722786,0.00020863724,0.00088796025],"genre_scores_gemma":[0.99734503,0.00007686265,0.0012636293,0.000014009949,0.000008860587,0.000058063088,0.00010428785,0.000017570554,0.0011117276],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975806,0.000028008903,0.000021637616,0.000071209346,0.000065722794,0.00005537418],"domain_scores_gemma":[0.9995672,0.000097877084,0.000034447752,0.00007491596,0.00018073601,0.000044804812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003088291,0.0005008004,0.0005935104,0.00034922062,0.0007290891,0.00034804604,0.001089862,0.0007184237,0.003797449],"category_scores_gemma":[0.0005861486,0.00022177663,0.00040839904,0.00031552985,0.00039035597,0.0009719868,0.0002917061,0.00033239127,0.0005408038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017022017,0.0004848219,0.0018836462,0.0006687172,0.00004079076,0.00026190758,0.0004334349,0.0014749306,0.97474015,0.0002788237,0.00062073773,0.017409828],"study_design_scores_gemma":[0.00012387669,0.004628879,0.006764945,0.000028089027,0.00008917953,0.00024047079,0.0002679976,0.009187957,0.9757612,0.00014209401,0.0027302627,0.00003502974],"about_ca_topic_score_codex":0.0008428503,"about_ca_topic_score_gemma":0.0009934822,"teacher_disagreement_score":0.003797449,"about_ca_system_score_codex":0.00028314596,"about_ca_system_score_gemma":0.0002824937,"threshold_uncertainty_score":0.012703717},"labels":[],"label_agreement":null},{"id":"W2618337305","doi":"10.3390/s17061217","title":"A Smart Power Electronic Multiconverter for the Residential Sector","year":2017,"lang":"en","type":"article","venue":"Sensors","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Hydro-Québec","keywords":"Smart grid; Renewable energy; Distributed generation; Photovoltaic system; Energy management system; Energy storage; Energy management; Electric power system; Demand response; Computer science; Maximum power point tracking; Stand-alone power system; Engineering; Automotive engineering; Reliability engineering; Electricity; Electrical engineering; Power (physics); Energy (signal processing)","score_opus":0.017167731756564112,"score_gpt":0.2763503768628993,"score_spread":0.2591826451063352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618337305","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27670708,0.002180421,0.61802083,0.0012475167,0.0007960727,0.00087464263,0.0014375079,0.020456815,0.07827902],"genre_scores_gemma":[0.91342777,0.00059450197,0.045763467,0.00031579,0.00008056305,0.00014172411,0.00056736055,0.00021794405,0.03889097],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999765,0.00005301165,0.0000117087,0.000061364706,0.000091167756,0.00001778086],"domain_scores_gemma":[0.9998005,0.00002110634,0.00001657999,0.00008406502,0.000054457145,0.0000232775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026101532,0.00045022758,0.00040343156,0.00027332347,0.00041942313,0.0007009966,0.0010381215,0.0005665619,0.01219353],"category_scores_gemma":[0.00024252334,0.00013132763,0.0002642099,0.0003799646,0.00023822488,0.0010149867,0.00068500446,0.00052432664,0.0037802465],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013927608,0.0005058143,0.0058468,0.0010492651,0.00009770596,0.0013970283,0.00049119594,0.020048622,0.28987476,0.020653326,0.031640008,0.62700284],"study_design_scores_gemma":[0.00063697784,0.005838446,0.019897217,0.00024325082,0.0002526725,0.0059018363,0.00036343848,0.2226038,0.30609983,0.011379625,0.42660132,0.00018157052],"about_ca_topic_score_codex":0.00043698688,"about_ca_topic_score_gemma":0.0007747539,"teacher_disagreement_score":0.01219353,"about_ca_system_score_codex":0.00028024678,"about_ca_system_score_gemma":0.00028478962,"threshold_uncertainty_score":0.040791452},"labels":[],"label_agreement":null},{"id":"W2620182576","doi":"10.11159/htff17.156","title":"Design Optimization of a Refrigerant-Cooling Thermal ManagementSystem for the Battery in Electric Vehicles","year":2017,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Refrigerant; Thermal management of electronic devices and systems; Battery (electricity); Automotive engineering; Computer cooling; Electric vehicle; Computer science; Thermal; Water cooling; Environmental science; Engineering; Mechanical engineering; Thermodynamics; Heat exchanger; Power (physics)","score_opus":0.015803785458224178,"score_gpt":0.2348951001466828,"score_spread":0.21909131468845863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620182576","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14497563,0.0030612107,0.8183461,0.000468081,0.0002738987,0.0006697556,0.00020504932,0.0011665111,0.030833723],"genre_scores_gemma":[0.9388539,0.00073026714,0.053199682,0.00007990015,0.00004159889,0.00052801764,0.00011516347,0.00008029997,0.006371168],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997806,0.00003574894,0.000009902103,0.000059780974,0.00006614387,0.00004785881],"domain_scores_gemma":[0.9999019,0.000019545272,0.00001939881,0.00000474192,0.0000465656,0.000007766908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034381374,0.00077166926,0.0009037025,0.00035946563,0.00062705204,0.0008549942,0.0009493333,0.0006080163,0.0033397058],"category_scores_gemma":[0.00028198434,0.0004494596,0.0005097448,0.00024593627,0.00028580774,0.0005305892,0.0004422383,0.0003959885,0.00056170917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021333403,0.00024874337,0.0011833961,0.00093131256,0.00010291151,0.00028322227,0.0001398473,0.7859477,0.11699573,0.0060389847,0.002901116,0.08501372],"study_design_scores_gemma":[0.000048381888,0.00034347654,0.00058522326,0.000022531918,0.00007391533,0.00006720229,0.000037876205,0.9784743,0.014536545,0.00040992568,0.005383068,0.000017557802],"about_ca_topic_score_codex":0.003090018,"about_ca_topic_score_gemma":0.0038475208,"teacher_disagreement_score":0.0033397058,"about_ca_system_score_codex":0.00083186186,"about_ca_system_score_gemma":0.0013562706,"threshold_uncertainty_score":0.011172414},"labels":[],"label_agreement":null},{"id":"W2620786101","doi":"","title":"SIVTHEC, a research program to evaluate high power batteries ageing in actual use","year":2000,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bombardier (Canada)","funders":"","keywords":"Battery (electricity); Automotive engineering; Internal resistance; Catenary; Macro; Lead–acid battery; Automotive battery; Lithium-ion battery; Powertrain; Power (physics); Computer science; Engineering; Electrical engineering; Structural engineering","score_opus":0.04313831048522029,"score_gpt":0.3213319514219131,"score_spread":0.27819364093669285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620786101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8202878,0.0011185885,0.0922622,0.00046403,0.00046785452,0.002139628,0.02565518,0.013157268,0.04444739],"genre_scores_gemma":[0.8682353,0.00058487925,0.06143996,0.00015705627,0.0000679142,0.001228266,0.026569795,0.0012726971,0.040444136],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990652,0.00016259446,0.000029940895,0.00017073032,0.0004931382,0.000078414894],"domain_scores_gemma":[0.9973552,0.00020287643,0.0000864081,0.00034222097,0.0018275178,0.00018568953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001971782,0.0009204838,0.00086568523,0.0014158046,0.00084756373,0.00065314886,0.0013667262,0.00057148974,0.0048475945],"category_scores_gemma":[0.0020676563,0.00028179432,0.0004600574,0.0011402017,0.00045609608,0.0012604215,0.0006288512,0.0005747484,0.0018749268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0056378087,0.0028865552,0.057462435,0.0012243168,0.00055805524,0.00069422886,0.0014234711,0.047272652,0.54361546,0.005900945,0.056912094,0.276412],"study_design_scores_gemma":[0.0013370035,0.013848538,0.05158045,0.0000822956,0.0006303469,0.0009799813,0.00060710637,0.123773806,0.68813634,0.0014845927,0.117415346,0.00012410739],"about_ca_topic_score_codex":0.008771427,"about_ca_topic_score_gemma":0.01099338,"teacher_disagreement_score":0.008771427,"about_ca_system_score_codex":0.001339792,"about_ca_system_score_gemma":0.0020457327,"threshold_uncertainty_score":0.017440736},"labels":[],"label_agreement":null},{"id":"W2621385458","doi":"10.1109/tte.2017.2710628","title":"Hybrid Energy Storage System With Active Power-Mix Control in a Dual-Chemistry Battery Pack for Light Electric Vehicles","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Battery (electricity); Modular design; Energy storage; Battery pack; Automotive engineering; State of charge; Computer science; Interleaving; Dual (grammatical number); Power (physics); Electrical engineering; Engineering; Physics","score_opus":0.007508141778713495,"score_gpt":0.22375479181727614,"score_spread":0.21624665003856264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621385458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5254075,0.0007440031,0.43831843,0.0004058036,0.0002622076,0.00029500635,0.0002990494,0.0037703363,0.030497655],"genre_scores_gemma":[0.9672322,0.00008773058,0.025769982,0.000055833007,0.000018001909,0.000076483266,0.00006806119,0.000022579108,0.0066691483],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992096,0.000009035353,0.0000071567742,0.000020769494,0.000032311113,0.000009778756],"domain_scores_gemma":[0.99996305,0.000004888882,0.0000049813048,0.0000060167085,0.000015167996,0.000005918363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011963234,0.00022046402,0.000305165,0.00024089793,0.00031874803,0.00051033014,0.00075385155,0.0002019006,0.0038129322],"category_scores_gemma":[0.000083601044,0.00017093161,0.00017607903,0.00021922268,0.00017416479,0.00072729733,0.00042782573,0.00023389641,0.00089549314],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012275943,0.0005474055,0.0031496547,0.0005010909,0.000120873105,0.0005030494,0.0002621345,0.056767598,0.63979244,0.013950601,0.0050372807,0.27814016],"study_design_scores_gemma":[0.00021068445,0.001212581,0.0025581955,0.00003135417,0.00008949435,0.0003813609,0.000092870905,0.6860816,0.27704972,0.005142366,0.027095238,0.000054493255],"about_ca_topic_score_codex":0.00045563566,"about_ca_topic_score_gemma":0.001164515,"teacher_disagreement_score":0.0038129322,"about_ca_system_score_codex":0.00020463389,"about_ca_system_score_gemma":0.0002070497,"threshold_uncertainty_score":0.012755573},"labels":[],"label_agreement":null},{"id":"W2622657123","doi":"10.1149/ma2012-02/12/1214","title":"Application of Electroactive Ionic Liquids to Improve the Safety of Lithium-Ion Batteries","year":2012,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Lithium (medication); Ionic liquid; Ion; Ionic bonding; Materials science; Computer science; Chemistry; Medicine; Organic chemistry; Psychiatry","score_opus":0.009749213092180966,"score_gpt":0.25718860480074773,"score_spread":0.24743939170856677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2622657123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8790325,0.0441104,0.037921812,0.0031679526,0.0010889402,0.00033657986,0.00047170065,0.00087762554,0.032992404],"genre_scores_gemma":[0.9728996,0.009160505,0.008818494,0.00037067046,0.00010647409,0.000052160147,0.00016659441,0.00006118026,0.008364261],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998286,0.000024936067,0.000017814955,0.00002225169,0.000078371515,0.000028055525],"domain_scores_gemma":[0.999869,0.000027914777,0.000021541655,0.000011282033,0.000057512167,0.000012637084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032651264,0.0004347175,0.00025100866,0.0004331634,0.00029407628,0.00079661375,0.0005210246,0.0005772463,0.0025088799],"category_scores_gemma":[0.00052828173,0.00013914377,0.00038873532,0.00025481515,0.0002853525,0.0006375648,0.00045081574,0.00050532864,0.0005967456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023849132,0.00005520166,0.0001494597,0.00023050254,0.000011323314,0.00009316148,0.00001865966,0.00029851045,0.9809074,0.0005366147,0.0003962783,0.017064324],"study_design_scores_gemma":[0.000015525635,0.00015936808,0.00011736203,0.000014189009,0.00001968991,0.0000612404,0.000012379497,0.0010105674,0.9937797,0.00009093509,0.0047144173,0.0000046510545],"about_ca_topic_score_codex":0.00051323295,"about_ca_topic_score_gemma":0.000739302,"teacher_disagreement_score":0.0025088799,"about_ca_system_score_codex":0.0003519751,"about_ca_system_score_gemma":0.00032340473,"threshold_uncertainty_score":0.008393049},"labels":[],"label_agreement":null},{"id":"W2657558585","doi":"10.1109/ccece.2017.7946748","title":"Multi-step parallel-strategy for estimating the remaining useful life of batteries","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Parallel computing","score_opus":0.09918188080576039,"score_gpt":0.3487230595234162,"score_spread":0.2495411787176558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2657558585","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15863702,0.0006700948,0.83759594,0.00016542521,0.00005983521,0.00006899547,0.000100752186,0.0007535228,0.0019484344],"genre_scores_gemma":[0.94586384,0.00016317735,0.0525085,0.0000375541,0.000017579176,0.00004676518,0.00009870023,0.000026045407,0.0012378844],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985313,0.0000389308,0.000010669126,0.000037318187,0.000041160787,0.000018711831],"domain_scores_gemma":[0.9995309,0.00020565446,0.00005717837,0.000051074014,0.00013332268,0.000021903988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070001365,0.00061125663,0.0005817165,0.00036586233,0.00017854996,0.000396027,0.00074147974,0.00038253254,0.0009234388],"category_scores_gemma":[0.0014796004,0.00018798608,0.00042545042,0.0002917545,0.00022142126,0.00061910274,0.0004546337,0.00052085676,0.00021720598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001957908,0.000101795245,0.0053832433,0.00011527754,0.000061864055,0.00012459351,0.00004736845,0.85051507,0.005570663,0.0014276853,0.00053122314,0.13592541],"study_design_scores_gemma":[0.0000027415365,0.000033444812,0.00036356508,0.0000023353728,0.000004199893,0.000013265344,0.0000040957293,0.9979533,0.0011489575,0.00037521642,0.00009643673,0.0000023860534],"about_ca_topic_score_codex":0.0034250682,"about_ca_topic_score_gemma":0.0030838328,"teacher_disagreement_score":0.0034250682,"about_ca_system_score_codex":0.00023790119,"about_ca_system_score_gemma":0.0005942627,"threshold_uncertainty_score":0.006810248},"labels":[],"label_agreement":null},{"id":"W2657873105","doi":"10.3390/en10070835","title":"Economic Optimization of Component Sizing for Residential Battery Storage Systems","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":209,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft; Technische Universität München; Nanyang Technological University","keywords":"Photovoltaic system; Sizing; Battery (electricity); Energy storage; Automotive engineering; State of charge; Dimensioning; Reliability engineering; Engineering; Computer science; Process engineering; Electrical engineering; Power (physics)","score_opus":0.020412323915217093,"score_gpt":0.26939438080043115,"score_spread":0.24898205688521408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2657873105","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22270486,0.0016888425,0.73355407,0.0003781308,0.00006712232,0.00030363875,0.00041105677,0.0003967287,0.04049558],"genre_scores_gemma":[0.9374331,0.0004708459,0.05637779,0.000039663744,0.000014670686,0.00017979933,0.00016844788,0.000071427494,0.005244367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997254,0.00011293249,0.000009985545,0.000033644348,0.00008310618,0.00003489036],"domain_scores_gemma":[0.99966395,0.00023474821,0.00003276226,0.000014629582,0.000043881064,0.000010019071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006665797,0.00085201,0.0006752937,0.0007312009,0.00027250772,0.001127174,0.00049232173,0.00050171296,0.0033299192],"category_scores_gemma":[0.0014418873,0.00053746946,0.0005899854,0.0008089365,0.0003821276,0.00058477256,0.00037734408,0.00048193033,0.00033087807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004046372,0.000023932684,0.00016038118,0.000046273155,0.000010743262,0.000020119636,0.00000941847,0.9866328,0.0014300825,0.001958464,0.00025051343,0.009416687],"study_design_scores_gemma":[0.000007071152,0.000036622245,0.00022078754,0.000004993097,0.000009105458,0.0000083747445,0.000014129155,0.99735284,0.00070791756,0.0012274113,0.00040674506,0.0000040596224],"about_ca_topic_score_codex":0.0031688695,"about_ca_topic_score_gemma":0.0051954943,"teacher_disagreement_score":0.0033299192,"about_ca_system_score_codex":0.0012179913,"about_ca_system_score_gemma":0.0010204639,"threshold_uncertainty_score":0.0111397505},"labels":[],"label_agreement":null},{"id":"W2673891679","doi":"10.1149/ma2017-02/4/404","title":"High Energy Lithium-Ion Battery Using Substituted LiCoPO<sub>4</sub>","year":2017,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Lithium (medication); Materials science; Battery (electricity); Electrolyte; Cathode; Electrochemistry; Coating; Ion; Energy storage; Carbon fibers; Ionic conductivity; Chemical engineering; Conductivity; Nanotechnology; Composite material; Chemistry; Electrode; Physical chemistry; Composite number; Thermodynamics; Organic chemistry","score_opus":0.024369786130129144,"score_gpt":0.26004314938270334,"score_spread":0.2356733632525742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2673891679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8662343,0.020659156,0.05518308,0.0010308336,0.00063676655,0.00018105785,0.0013178516,0.0041769114,0.05058003],"genre_scores_gemma":[0.9394853,0.0076237405,0.026612977,0.00050770876,0.000110349305,0.00013304054,0.0009211438,0.00017798938,0.024427835],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992454,0.0000057460998,0.000008547518,0.000014061892,0.000031643845,0.000015519636],"domain_scores_gemma":[0.9999645,0.0000029195505,0.000009803234,0.000004445122,0.0000121118455,0.000006235655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007097167,0.00034268707,0.0002644178,0.00028749584,0.00014302073,0.00053424964,0.00076370593,0.00055270275,0.0033370277],"category_scores_gemma":[0.00012018425,0.00016900369,0.00026238238,0.00046312774,0.0002138961,0.00087607064,0.00042488784,0.00031941576,0.0016631007],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002203548,0.000052544907,0.0005010615,0.0009905708,0.000034256314,0.0006047619,0.00003767095,0.0007398284,0.94563085,0.0018621212,0.0025374019,0.046788547],"study_design_scores_gemma":[0.000046187015,0.00045687356,0.0014904895,0.000054935757,0.00009421629,0.0013131326,0.000038800008,0.007378592,0.94556206,0.000406437,0.04312171,0.000036493755],"about_ca_topic_score_codex":0.00037053652,"about_ca_topic_score_gemma":0.00073002314,"teacher_disagreement_score":0.0033370277,"about_ca_system_score_codex":0.00018975596,"about_ca_system_score_gemma":0.00013704458,"threshold_uncertainty_score":0.011163473},"labels":[],"label_agreement":null},{"id":"W2676303701","doi":"10.1504/ijpse.2017.10005791","title":"Fuzzy logic-based charging strategy for electric vehicles plugged into a smart grid","year":2017,"lang":"en","type":"article","venue":"International Journal of Process Systems Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Fuzzy logic; Automotive engineering; Electric vehicle; Grid; Voltage; Electricity; Smart grid; Engineering; Electrical engineering; Computer science; Power (physics)","score_opus":0.02701887761057385,"score_gpt":0.31302973429510866,"score_spread":0.2860108566845348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2676303701","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18509287,0.00035572928,0.79360175,0.0002203068,0.00009966552,0.00022724895,0.00007669063,0.0006836431,0.019642068],"genre_scores_gemma":[0.98627234,0.000051287698,0.012192584,0.000027913426,0.0000050009085,0.000026303536,0.000016040725,0.000004818509,0.0014037279],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983,0.00003375541,0.000013053895,0.00002819012,0.00006474728,0.000030141338],"domain_scores_gemma":[0.999908,0.000019800034,0.00001666834,0.0000070985366,0.000040325365,0.0000081130165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024619952,0.00035000322,0.00028309092,0.00032974413,0.00043812513,0.00073829206,0.00062604796,0.00039308568,0.0014781972],"category_scores_gemma":[0.00032789866,0.00012699592,0.0002810621,0.00025677864,0.00025323217,0.00041330073,0.0002699379,0.00025833282,0.0002019262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047709167,0.00021179378,0.001452353,0.00018569174,0.00006619742,0.0005172039,0.00026762797,0.80977875,0.0338973,0.016993348,0.0018858294,0.13426685],"study_design_scores_gemma":[0.000035764668,0.00014848367,0.0003099586,0.000008601286,0.000023706438,0.00006362324,0.000054129672,0.99020374,0.005141157,0.0027386756,0.0012609295,0.0000112107255],"about_ca_topic_score_codex":0.006989073,"about_ca_topic_score_gemma":0.0060796947,"teacher_disagreement_score":0.006989073,"about_ca_system_score_codex":0.0006758158,"about_ca_system_score_gemma":0.00054501084,"threshold_uncertainty_score":0.013896763},"labels":[],"label_agreement":null},{"id":"W2678473707","doi":"","title":"Comparison of DC- and AC-coupled photovoltaic energy storage systems with lithium-ion batteries","year":2015,"lang":"en","type":"article","venue":"Energy science and technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Photovoltaic system; Lithium (medication); Energy storage; Ion; Materials science; Engineering physics; Electrical engineering; Chemistry; Engineering; Physics; Thermodynamics; Biology; Organic chemistry; Power (physics)","score_opus":0.01910004088588615,"score_gpt":0.2643954581598693,"score_spread":0.24529541727398316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2678473707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9723528,0.0026590503,0.0059122704,0.00014492626,0.00015876164,0.0001018532,0.00057351496,0.00031827987,0.017778512],"genre_scores_gemma":[0.99669266,0.00040769522,0.0005864656,0.000026722915,0.000014286732,0.000014315373,0.00021533013,0.000013959588,0.0020286755],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976474,0.00004278834,0.000027903803,0.000033968106,0.00009958202,0.00003092905],"domain_scores_gemma":[0.99957067,0.000088259745,0.00001640961,0.000036521837,0.00026302217,0.000025149418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023362474,0.00026397093,0.0005979933,0.00046029626,0.00050205283,0.00085953425,0.0008799943,0.0003850666,0.0062789912],"category_scores_gemma":[0.00051096897,0.00012332542,0.00033612826,0.00078852806,0.00022099057,0.0008029784,0.0003848627,0.00024202022,0.00086274545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.019272039,0.00075544283,0.010023963,0.0038875798,0.00069230306,0.0005018742,0.00053319783,0.04833262,0.6371665,0.0054048337,0.0040796637,0.26935],"study_design_scores_gemma":[0.0008981045,0.008970251,0.04668454,0.0002534756,0.0013220418,0.0006677743,0.0015160335,0.24501756,0.6619522,0.003896429,0.028689956,0.00013167365],"about_ca_topic_score_codex":0.002344575,"about_ca_topic_score_gemma":0.0046589538,"teacher_disagreement_score":0.0062789912,"about_ca_system_score_codex":0.00041040542,"about_ca_system_score_gemma":0.00028761264,"threshold_uncertainty_score":0.021005332},"labels":[],"label_agreement":null},{"id":"W2726233296","doi":"10.1016/j.energy.2017.06.167","title":"Li-ion battery capacity cycling fading dynamics cognition: A stochastic approach","year":2017,"lang":"en","type":"article","venue":"Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Battery (electricity); Anode; Phase (matter); Process (computing); State of charge; Markov chain; Ion; State (computer science); Computer science; Engineering; Reliability engineering; Electrode; Algorithm; Chemistry; Power (physics)","score_opus":0.031186971983102017,"score_gpt":0.2548413185379015,"score_spread":0.22365434655479946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2726233296","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36335945,0.0009866275,0.6130883,0.0030256042,0.00017314672,0.00005616027,0.0003495549,0.00020576139,0.018755365],"genre_scores_gemma":[0.9888604,0.00039982935,0.0056496426,0.00012109923,0.0000920657,0.000023352808,0.000068611276,0.000024874445,0.004760081],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995735,0.0001230262,0.000016740747,0.00011207819,0.00008526516,0.00008930464],"domain_scores_gemma":[0.9958967,0.0028234173,0.00041739302,0.0002274251,0.00045171464,0.00018338786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011481368,0.00058962114,0.0009144751,0.00064715365,0.0004755394,0.0018505835,0.0011996517,0.0011717303,0.0032015808],"category_scores_gemma":[0.007814927,0.000490068,0.00085625675,0.000564816,0.0012182943,0.002544131,0.0012392498,0.0014224335,0.00024372779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013650362,0.00013927823,0.005040325,0.00009418655,0.00019358953,0.00024773966,0.00041497409,0.7446871,0.0038370143,0.22091945,0.0019053853,0.022384472],"study_design_scores_gemma":[0.0000070147526,0.00002726054,0.0014875244,0.000008742431,0.000023611388,0.00004282493,0.000036183472,0.94686365,0.00017825147,0.05108574,0.00021749518,0.00002169285],"about_ca_topic_score_codex":0.008075838,"about_ca_topic_score_gemma":0.0055205743,"teacher_disagreement_score":0.008075838,"about_ca_system_score_codex":0.001205991,"about_ca_system_score_gemma":0.0009786087,"threshold_uncertainty_score":0.01605767},"labels":[],"label_agreement":null},{"id":"W2730514622","doi":"10.1016/j.rser.2017.06.067","title":"Plug-in electric vehicle batteries degradation modeling for smart grid studies: Review, assessment and conceptual framework","year":2017,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":177,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Smart grid; Degradation (telecommunications); Battery pack; Grid; Vehicle-to-grid; Electric vehicle; State of charge; Computer science; Automotive engineering; Reliability engineering; Depth of discharge; Engineering; Electrical engineering; Power (physics)","score_opus":0.04826770923163463,"score_gpt":0.34421041156952825,"score_spread":0.2959427023378936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2730514622","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010218338,0.8519007,0.12702239,0.001627772,0.00046888393,0.00010237538,0.00029141345,0.00020153997,0.008166597],"genre_scores_gemma":[0.11196861,0.8613351,0.023135133,0.0002619849,0.0005262845,0.00010940984,0.00034042928,0.000037200265,0.0022857913],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995927,0.00010012937,0.00005934421,0.000067716224,0.00015772207,0.000022357803],"domain_scores_gemma":[0.99884725,0.00058136124,0.00014105721,0.000057502562,0.00035538664,0.000017378228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015907246,0.0014566636,0.0018162384,0.0017595087,0.0002157819,0.0018057405,0.0023121708,0.0013506712,0.0007474202],"category_scores_gemma":[0.0017889683,0.0004341785,0.00086876954,0.0022581525,0.0007112761,0.0023655703,0.00078580517,0.0008847256,0.0003895593],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000094660994,0.00022215412,0.0033274707,0.028626606,0.00047393687,0.00032670458,0.00039990756,0.15775,0.0075676385,0.08034961,0.009135917,0.7117253],"study_design_scores_gemma":[0.000038287522,0.00051575503,0.0051138913,0.013628274,0.0015058612,0.0016871393,0.0010960023,0.3554337,0.01833377,0.12792909,0.47448403,0.00023415622],"about_ca_topic_score_codex":0.0023099466,"about_ca_topic_score_gemma":0.0023953621,"teacher_disagreement_score":0.0023121708,"about_ca_system_score_codex":0.00095165207,"about_ca_system_score_gemma":0.0014401939,"threshold_uncertainty_score":0.008412659},"labels":[],"label_agreement":null},{"id":"W2730600487","doi":"10.1149/ma2010-03/1/791","title":"Thermal Behavior Characterization of Lithium Batteries Used in HEVs and EVs Using Electric Circuit Model Representation","year":2010,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Characterization (materials science); Representation (politics); Lithium (medication); Thermal; Equivalent circuit; Materials science; Computer science; Automotive engineering; Electrical engineering; Engineering; Physics; Nanotechnology; Voltage; Thermodynamics; Medicine","score_opus":0.03161750260476965,"score_gpt":0.2795030427968336,"score_spread":0.24788554019206394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2730600487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9196221,0.00038620984,0.069018066,0.00016755333,0.000035199882,0.00006498815,0.00138021,0.0013242246,0.00800145],"genre_scores_gemma":[0.9960388,0.00007116656,0.0011901602,0.000009540523,0.0000020616797,0.000025825802,0.0004369372,0.000032879838,0.0021927746],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999075,0.00001367978,0.0000062470367,0.000016756216,0.000042933476,0.000013007458],"domain_scores_gemma":[0.9998882,0.000036803332,0.000009509199,0.000022145974,0.00003967502,0.0000035863309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014157055,0.0003232506,0.00037750276,0.00032732208,0.00016851563,0.0004002446,0.0005726846,0.00038325964,0.004489007],"category_scores_gemma":[0.00041965148,0.0001419768,0.00035735744,0.0003306646,0.00015429716,0.0008239814,0.00016888497,0.00022334652,0.0005497322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015041261,0.0002460801,0.007632747,0.0005013465,0.00013626211,0.00023688415,0.00031594568,0.51497054,0.39428535,0.002961104,0.0034570086,0.073752604],"study_design_scores_gemma":[0.000026719803,0.000375934,0.0044301385,0.000016735421,0.000042533164,0.0000745669,0.00009458089,0.8320097,0.15926564,0.0009830126,0.00265936,0.000021155436],"about_ca_topic_score_codex":0.0023436653,"about_ca_topic_score_gemma":0.0034288887,"teacher_disagreement_score":0.004489007,"about_ca_system_score_codex":0.00038533923,"about_ca_system_score_gemma":0.00020606654,"threshold_uncertainty_score":0.015017211},"labels":[],"label_agreement":null},{"id":"W2732133740","doi":"10.1299/jsmetld.2008.17.357","title":"2110 Developing of Advanced Electric Micro Bus for Community Transportation","year":2008,"lang":"en","type":"article","venue":"The Proceedings of the Transportation and Logistics Conference","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Zero emission; Public transport; Transport engineering; Noise (video); Automotive engineering; Local bus; Business; Engineering; Telecommunications; Computer science; Electrical engineering; Control bus; System bus; Geography","score_opus":0.04940550804736945,"score_gpt":0.26319163664726813,"score_spread":0.21378612859989868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2732133740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40876922,0.0032715632,0.34113893,0.0017813714,0.00053449493,0.0009916564,0.00049466564,0.0013955195,0.24162252],"genre_scores_gemma":[0.7968209,0.0016854842,0.105683625,0.00015785523,0.000099948375,0.00024611852,0.0007194986,0.000086271066,0.094500445],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998417,0.000031144315,0.0000065625973,0.00002130085,0.00008033707,0.000018981447],"domain_scores_gemma":[0.99970067,0.00001355471,0.000011803903,0.000011030058,0.0002410856,0.000021928692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035067706,0.0002469071,0.0000939787,0.00041178687,0.00028137525,0.0004365328,0.00034646707,0.00028862487,0.0051807817],"category_scores_gemma":[0.00025275385,0.00009915991,0.00014379938,0.00030300027,0.00009796254,0.00046640701,0.00024006994,0.00017236994,0.0016453682],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025397853,0.0003391844,0.016951341,0.000761181,0.000039248545,0.00064411695,0.0006621885,0.012727012,0.27250144,0.05543008,0.022748249,0.616942],"study_design_scores_gemma":[0.00012007446,0.002984028,0.019849937,0.00014324604,0.000080018646,0.0020589684,0.0010222938,0.06322139,0.1831185,0.006650565,0.72067744,0.00007357357],"about_ca_topic_score_codex":0.0019278646,"about_ca_topic_score_gemma":0.0036825847,"teacher_disagreement_score":0.0051807817,"about_ca_system_score_codex":0.00033910305,"about_ca_system_score_gemma":0.0008492776,"threshold_uncertainty_score":0.017331421},"labels":[],"label_agreement":null},{"id":"W2732639197","doi":"10.1007/s11663-017-1022-9","title":"Electrical Resistivity Measurement of Petroleum Coke Powder by Means of Four-Probe Method","year":2017,"lang":"en","type":"article","venue":"Metallurgical and Materials Transactions B","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Electrical resistivity and conductivity; Petroleum coke; Materials science; Coke; Electrical contacts; Electrical resistance and conductance; Anode; Particle size; Composite material; Discrete element method; Particle (ecology); Contact resistance; Metallurgy; Electrode; Chemical engineering; Chemistry; Electrical engineering; Mechanics; Geology; Engineering","score_opus":0.03559848964639726,"score_gpt":0.2806278026122126,"score_spread":0.24502931296581534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2732639197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84198797,0.0013932199,0.14804198,0.00047089584,0.00024393947,0.00009622903,0.0009863188,0.0008646361,0.0059149],"genre_scores_gemma":[0.96780336,0.00046797204,0.028638372,0.00004988708,0.000021460708,0.000075402924,0.00028807585,0.000026594442,0.0026288794],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994848,0.00008248599,0.00003637976,0.0001410825,0.00020646914,0.000048854323],"domain_scores_gemma":[0.9996755,0.000095475785,0.000045268138,0.000056942074,0.0001128883,0.000013974898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022864834,0.0004444217,0.00040620775,0.00044452248,0.00028665015,0.0002537143,0.00046459594,0.0005447232,0.0011377904],"category_scores_gemma":[0.00048239614,0.00018028516,0.00017173293,0.0005405286,0.00032200827,0.00053157477,0.00024422794,0.0005376575,0.00035964817],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098843004,0.00001973413,0.0009528343,0.000072277166,0.000008153505,0.00010118855,0.00009173711,0.000099517216,0.9860107,0.00022666034,0.00023133944,0.012087099],"study_design_scores_gemma":[0.000009513343,0.00015030075,0.004877953,0.0000055212117,0.000020740443,0.00033435572,0.00010583473,0.002690847,0.9881682,0.00012954882,0.0034922117,0.000015010514],"about_ca_topic_score_codex":0.0004333986,"about_ca_topic_score_gemma":0.0006480387,"teacher_disagreement_score":0.0011377904,"about_ca_system_score_codex":0.00014878329,"about_ca_system_score_gemma":0.00020121892,"threshold_uncertainty_score":0.003806293},"labels":[],"label_agreement":null},{"id":"W2734787008","doi":"10.23919/acc.2017.7963002","title":"Fully dynamical representation of a LFP battery cell","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Algebraic equation; Nonlinear system; Estimator; State of charge; Representation (politics); State (computer science); Computer science; Applied mathematics; Battery (electricity); Differential algebraic equation; Differential equation; Dynamical systems theory; Mathematical optimization; Control theory (sociology); Algorithm; Mathematics; Physics; Mathematical analysis; Control (management); Artificial intelligence","score_opus":0.022186742711286615,"score_gpt":0.3004549607078632,"score_spread":0.2782682179965766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734787008","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0536796,0.0011262912,0.8751726,0.00073853176,0.00023571971,0.000090991554,0.0011821918,0.00044519184,0.067328945],"genre_scores_gemma":[0.9458085,0.0008617881,0.024418378,0.00022672863,0.00014499371,0.0002270989,0.00075970765,0.00007107094,0.027481735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998895,0.000021541584,0.0000056776357,0.00002477171,0.000043172768,0.000015296775],"domain_scores_gemma":[0.99988747,0.000027856946,0.000017930717,0.0000108000795,0.000045700963,0.000010375366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013844062,0.0004463549,0.00043109202,0.0003666633,0.00037065506,0.0009507644,0.0007441148,0.0013424348,0.007981431],"category_scores_gemma":[0.0003556113,0.00018413662,0.00040911033,0.00036638253,0.0004915548,0.00064558216,0.0005924925,0.0006305904,0.0012844715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041075877,0.000022398452,0.0004930626,0.000064722386,0.000025101039,0.00036170654,0.00009201187,0.9332584,0.007351675,0.043952543,0.0019365953,0.012400683],"study_design_scores_gemma":[0.0000030651572,0.0000079503825,0.00007627691,0.000002656804,0.000002198822,0.000028312152,0.0000073671363,0.9968731,0.00011698254,0.001982351,0.00089598936,0.0000039300985],"about_ca_topic_score_codex":0.008942361,"about_ca_topic_score_gemma":0.0037385642,"teacher_disagreement_score":0.008942361,"about_ca_system_score_codex":0.00041023665,"about_ca_system_score_gemma":0.000437535,"threshold_uncertainty_score":0.026700497},"labels":[],"label_agreement":null},{"id":"W2735920493","doi":"10.23919/acc.2017.7963627","title":"MPC-based battery thermal management controller for Plug-in hybrid electric vehicles","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Model predictive control; Battery (electricity); Computer science; Controller (irrigation); Electric vehicle; Control engineering; Plug-in; Power management; Control (management); Automotive engineering; Engineering; Power (physics); Artificial intelligence","score_opus":0.016646231473293128,"score_gpt":0.26706416754456686,"score_spread":0.2504179360712737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735920493","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039300013,0.00079424237,0.9427272,0.00025724754,0.00021740644,0.00007150247,0.00006128711,0.0015447781,0.015026411],"genre_scores_gemma":[0.97944325,0.00022649406,0.015694024,0.00006015115,0.000038356495,0.00006567297,0.000055942546,0.00002464019,0.004391362],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989796,0.000016197153,0.0000058074284,0.000026675167,0.00003867934,0.00001471034],"domain_scores_gemma":[0.999907,0.000022035323,0.000015671108,0.000008338045,0.000041706335,0.000005325708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018165179,0.0004996632,0.00041490188,0.0001638764,0.00034891316,0.00047126578,0.00062940875,0.00029944387,0.0014473419],"category_scores_gemma":[0.0003443604,0.00017848442,0.0002569736,0.00016001335,0.00026451738,0.0003097937,0.00035822572,0.0006038673,0.00031966038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012195937,0.000070051945,0.00044751973,0.00021206654,0.00004085501,0.00013735452,0.00008608585,0.8997955,0.011939984,0.0061563696,0.0022905206,0.078701675],"study_design_scores_gemma":[0.000011431842,0.00005016042,0.00015361726,0.000005153251,0.0000085091515,0.000016017211,0.00000632487,0.9961941,0.0017587398,0.0006501864,0.001141972,0.000003802959],"about_ca_topic_score_codex":0.0051896637,"about_ca_topic_score_gemma":0.004549818,"teacher_disagreement_score":0.0051896637,"about_ca_system_score_codex":0.00033933285,"about_ca_system_score_gemma":0.00045453012,"threshold_uncertainty_score":0.010318875},"labels":[],"label_agreement":null},{"id":"W2736136218","doi":"10.23977/jeis.2017.21004","title":"Design and Implementation of Software Calibrated Lead-Acid Monitoring System for Electric Motorcycle","year":2017,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lead–acid battery; Battery (electricity); Voltage; Resistor; Software; Automotive engineering; Computer science; Battery pack; Electrical engineering; Embedded system; Engineering; Power (physics)","score_opus":0.01975256269597902,"score_gpt":0.311143865675255,"score_spread":0.29139130297927596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736136218","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16282728,0.0010032124,0.7817418,0.0006176259,0.00053427747,0.0010080974,0.00056689046,0.034690585,0.017010264],"genre_scores_gemma":[0.8779223,0.00027143006,0.108470894,0.00034331548,0.00012631666,0.000525162,0.00041323618,0.0003031766,0.011624231],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99926025,0.00007412752,0.0000559403,0.0002619931,0.0002843344,0.00006326897],"domain_scores_gemma":[0.9993906,0.000051603118,0.00006751903,0.00006773761,0.00038070136,0.000041685507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039794913,0.0007325355,0.0007304379,0.001030704,0.000335847,0.00068362063,0.0019296509,0.0005297993,0.0049330182],"category_scores_gemma":[0.00081163703,0.00036064643,0.00025322975,0.00039899873,0.00019530246,0.00073528517,0.00046003988,0.00035750616,0.0014468989],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011016731,0.00034325427,0.023593422,0.0009877622,0.00022533396,0.0013987948,0.0008547881,0.014197235,0.43502173,0.0051489244,0.02014353,0.49698353],"study_design_scores_gemma":[0.00046652378,0.0028678735,0.027417086,0.00020096882,0.0005841199,0.004071393,0.00028767582,0.34082285,0.49571517,0.002227697,0.12496678,0.00037181572],"about_ca_topic_score_codex":0.0010621621,"about_ca_topic_score_gemma":0.00070078194,"teacher_disagreement_score":0.0049330182,"about_ca_system_score_codex":0.00046591955,"about_ca_system_score_gemma":0.0005458364,"threshold_uncertainty_score":0.016502619},"labels":[],"label_agreement":null},{"id":"W2737582203","doi":"10.1149/ma2010-01/10/635","title":"15 Years R&amp;D at Hydro-Québec on Li-Ion Technologies for Green Transportation","year":2010,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Ion; Environmental science; Computer science; Transport engineering; Physics; Engineering; Quantum mechanics","score_opus":0.017194532366782547,"score_gpt":0.2616653703477926,"score_spread":0.24447083798101005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737582203","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25628653,0.078511536,0.011960309,0.058635738,0.0082704825,0.0011883661,0.00912629,0.0013501802,0.5746706],"genre_scores_gemma":[0.26688865,0.0167488,0.0061745173,0.0074882936,0.0006490953,0.00014219202,0.0028389303,0.00015190129,0.6989176],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977469,0.00023957856,0.000051260165,0.00018304562,0.0009085813,0.0008706631],"domain_scores_gemma":[0.99617225,0.00018187088,0.00018130236,0.00016839261,0.002186197,0.0011099814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034552042,0.0009310977,0.0006167952,0.0015811326,0.0025508734,0.0018955916,0.0012016406,0.0016887889,0.045623634],"category_scores_gemma":[0.0012925159,0.00028194723,0.0007683823,0.0021628973,0.0012188345,0.0011232563,0.0018675518,0.0010629325,0.009550595],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002341615,0.00088577037,0.035387862,0.0019297333,0.00040863716,0.003269632,0.002205205,0.0055905157,0.050217558,0.021092892,0.3221958,0.5544747],"study_design_scores_gemma":[0.00008119149,0.000774701,0.02885572,0.00034002977,0.00009292658,0.0003248742,0.0006983265,0.0008882872,0.009183858,0.00057687017,0.9581361,0.00004712655],"about_ca_topic_score_codex":0.49635312,"about_ca_topic_score_gemma":0.7254592,"teacher_disagreement_score":0.50364685,"about_ca_system_score_codex":0.015647704,"about_ca_system_score_gemma":0.03778125,"threshold_uncertainty_score":0.98692805},"labels":[],"label_agreement":null},{"id":"W2737992136","doi":"10.1002/er.3837","title":"Cycling degradation testing and analysis of a LiFePO<sub>4</sub> battery at actual conditions","year":2017,"lang":"en","type":"article","venue":"International Journal of Energy Research","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":164,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University; University of Waterloo","funders":"","keywords":"Driving cycle; Battery (electricity); Fade; Extrapolation; Automotive engineering; Acceleration; Power (physics); Charge cycle; Lithium-ion battery; Degradation (telecommunications); Electric vehicle; Lithium (medication); Cycling; Simulation; Voltage; Engineering; Electrical engineering; Computer science; Automotive battery; Physics; Mathematics; Statistics","score_opus":0.07565246325677616,"score_gpt":0.37597825686327163,"score_spread":0.3003257936064955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2737992136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921449,0.00052076037,0.0046040136,0.00005505133,0.000029566303,0.00006845651,0.0007629938,0.00022084928,0.0015934204],"genre_scores_gemma":[0.9957982,0.00027202623,0.0018326091,0.00003649701,0.0000066983844,0.000051973533,0.00045081446,0.000028032699,0.0015231409],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996259,0.000028686363,0.00003738429,0.000062029234,0.0002002353,0.000045687615],"domain_scores_gemma":[0.99936765,0.00009041344,0.000044370434,0.000061113766,0.00041192726,0.000024541052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034946157,0.00040339693,0.0003853563,0.0005157354,0.00030620807,0.00036593468,0.000603668,0.0005378723,0.0016720097],"category_scores_gemma":[0.0010628848,0.00013063483,0.00025028267,0.0005211507,0.00021890456,0.0005789836,0.00021697869,0.00026064925,0.00055504387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009888673,0.00024413865,0.019219063,0.0006858779,0.00007388844,0.001097008,0.0008944659,0.009104286,0.8953866,0.00028449838,0.0014734169,0.07054793],"study_design_scores_gemma":[0.00002329449,0.0028590793,0.035143156,0.000049234408,0.000061361214,0.0011265737,0.0006503973,0.029726077,0.9211359,0.0002097418,0.008964311,0.000050869654],"about_ca_topic_score_codex":0.0016649948,"about_ca_topic_score_gemma":0.0025621294,"teacher_disagreement_score":0.0016720097,"about_ca_system_score_codex":0.000401091,"about_ca_system_score_gemma":0.0001966769,"threshold_uncertainty_score":0.005593419},"labels":[],"label_agreement":null},{"id":"W2739254868","doi":"10.1049/iet-epa.2017.0302","title":"Torque elimination for integrated battery charger based on two permanent magnet synchronous motor drives for electric vehicles","year":2017,"lang":"en","type":"article","venue":"IET Electric Power Applications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Pacific Railway (Canada); McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery charger; Torque; Battery (electricity); Electrical engineering; Permanent magnet synchronous motor; Synchronous motor; Electric vehicle; Direct torque control; Magnet; Automotive engineering; AC motor; Engineering; Control theory (sociology); Electric motor; Computer science; Physics; Induction motor; Power (physics); Voltage; Control (management)","score_opus":0.010731914842284106,"score_gpt":0.2812015784723845,"score_spread":0.2704696636301004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739254868","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34590647,0.001170602,0.6373915,0.00013712853,0.00014167049,0.00012842096,0.000042628162,0.0011421136,0.013939508],"genre_scores_gemma":[0.977853,0.00014304134,0.018801467,0.000021472486,0.000017666944,0.000020408042,0.000033254095,0.00002013465,0.0030894764],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998845,0.00001596914,0.000006883848,0.000017624785,0.000062573905,0.000012468403],"domain_scores_gemma":[0.99991894,0.000011155043,0.000019076468,0.000013083423,0.00003164826,0.000005985602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010197776,0.00031681033,0.0002649174,0.00029554486,0.00022695657,0.00039354578,0.00051260274,0.00016853734,0.0010866061],"category_scores_gemma":[0.000116146046,0.000098369565,0.00024255824,0.00021712978,0.00016547943,0.00030377283,0.00014623873,0.00017746384,0.00032249247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008073155,0.00036644345,0.0027242561,0.0009767987,0.00012856838,0.00077861804,0.0002817363,0.053999603,0.5308411,0.013095472,0.0017750933,0.3942249],"study_design_scores_gemma":[0.00025784233,0.0036167994,0.009637194,0.000063376356,0.0001793703,0.0016443572,0.00015636421,0.78186715,0.172198,0.0041349246,0.026194936,0.000049669678],"about_ca_topic_score_codex":0.00059583964,"about_ca_topic_score_gemma":0.0010962213,"teacher_disagreement_score":0.0010866061,"about_ca_system_score_codex":0.00019867992,"about_ca_system_score_gemma":0.00021237484,"threshold_uncertainty_score":0.0036349893},"labels":[],"label_agreement":null},{"id":"W2739811582","doi":"10.1109/itec.2017.7993351","title":"Assessing the impact of an electric bus duty cycle on battery pack life span","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Battery (electricity); Automotive engineering; Depth of discharge; Trickle charging; Battery pack; Automotive battery; Charge cycle; State of charge; Power (physics); Degradation (telecommunications); State of health; Duty cycle; Computer science; Electrical engineering; Voltage; Engineering; Reliability engineering","score_opus":0.03666011617813111,"score_gpt":0.3700002845125486,"score_spread":0.33334016833441754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739811582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9582087,0.00046683257,0.03799625,0.00004211514,0.000019774467,0.00008895358,0.0005039326,0.0002450533,0.0024283284],"genre_scores_gemma":[0.99659926,0.00009791077,0.0027638886,0.00000836749,0.0000024817143,0.000019232302,0.00016437127,0.000010903902,0.0003336147],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996667,0.000050381717,0.000021426138,0.000045313085,0.00017215032,0.000043953143],"domain_scores_gemma":[0.99889034,0.00054270047,0.0001822986,0.0000970437,0.00023980554,0.000047848996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070250506,0.00051677297,0.00037953522,0.00094447465,0.00017975304,0.00046348636,0.00044030143,0.00043802263,0.0007933793],"category_scores_gemma":[0.002581875,0.00018455829,0.0003722129,0.0005306261,0.00020349992,0.00065877405,0.00037231154,0.00022235572,0.00015931547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009303466,0.00021353939,0.1048332,0.00032915635,0.0001986291,0.00060052745,0.00019411523,0.6949344,0.084232315,0.0008840353,0.00050367403,0.112145945],"study_design_scores_gemma":[0.00002192288,0.0020197749,0.08563421,0.00004438175,0.00014136797,0.0005851342,0.00021846632,0.82941985,0.07906889,0.0009270224,0.001857129,0.000061879306],"about_ca_topic_score_codex":0.0033446676,"about_ca_topic_score_gemma":0.0036899613,"teacher_disagreement_score":0.0033446676,"about_ca_system_score_codex":0.00047131476,"about_ca_system_score_gemma":0.00033122682,"threshold_uncertainty_score":0.0066503882},"labels":[],"label_agreement":null},{"id":"W2740498971","doi":"10.1149/ma2010-03/1/743","title":"High Precision Study of the Time Dependence of Coulombic Efficiency in Li-Ion Batteries","year":2010,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Faraday efficiency; Ion; Materials science; Chemistry; Physical chemistry; Electrode; Organic chemistry; Electrolyte","score_opus":0.01054286970752265,"score_gpt":0.25638479990676777,"score_spread":0.2458419301992451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740498971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88244206,0.003730135,0.10072951,0.00045027098,0.00019045136,0.00007944124,0.0012098583,0.00093889644,0.010229381],"genre_scores_gemma":[0.9914676,0.00039679577,0.0054894965,0.000036459754,0.00002256524,0.000021060174,0.00026109035,0.000063574145,0.0022412771],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99968624,0.000031620737,0.000012143792,0.00006347807,0.00017867004,0.000027934067],"domain_scores_gemma":[0.9988424,0.0005850968,0.00006540379,0.00028922447,0.00020109433,0.00001675993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061351893,0.00025858934,0.00038307224,0.00024953973,0.00022623152,0.0005222131,0.0008092221,0.00057729444,0.0018049577],"category_scores_gemma":[0.002931014,0.0001984512,0.00013091516,0.00034629257,0.00027678022,0.000635125,0.00033259415,0.0005093507,0.0004263298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011573411,0.00012367206,0.004809762,0.0002960944,0.000082053724,0.00017608618,0.00021893474,0.011841484,0.9368811,0.005244989,0.00093755225,0.038230784],"study_design_scores_gemma":[0.000048380756,0.00035748552,0.008534782,0.000026363203,0.0000407072,0.00017158226,0.000039905197,0.049629863,0.9358565,0.0010485558,0.004203357,0.000042474567],"about_ca_topic_score_codex":0.0008057941,"about_ca_topic_score_gemma":0.0009722521,"teacher_disagreement_score":0.0018049577,"about_ca_system_score_codex":0.00041826046,"about_ca_system_score_gemma":0.00017965709,"threshold_uncertainty_score":0.0060381293},"labels":[],"label_agreement":null},{"id":"W2741303398","doi":"10.1109/itec.2017.7993295","title":"Battery state of charge estimation using an Artificial Neural Network","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":95,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); State of charge; Powertrain; Automotive engineering; Artificial neural network; Battery pack; Voltage; Engineering; Electric vehicle; Automotive industry; Benchmark (surveying); Lithium-ion battery; Computer science; Electrical engineering; Power (physics); Torque; Artificial intelligence","score_opus":0.06476915520067648,"score_gpt":0.32888139112913717,"score_spread":0.26411223592846067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741303398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5903721,0.001466616,0.39601183,0.00031373888,0.00014843224,0.00011282667,0.00039908526,0.0016800218,0.009495284],"genre_scores_gemma":[0.984435,0.0001429649,0.013904433,0.00002923586,0.000008967873,0.00003534693,0.00012822295,0.000007508376,0.0013082022],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989617,0.000017164903,0.000009946853,0.000030041625,0.00003292292,0.000013813277],"domain_scores_gemma":[0.99972683,0.00010217298,0.000031440217,0.000015853675,0.00011774559,0.0000059604445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027248095,0.0004145334,0.00037123958,0.00041021412,0.0002043089,0.00045096295,0.000498983,0.00058014394,0.0007069686],"category_scores_gemma":[0.0009322562,0.0002046495,0.00026664944,0.00039321237,0.00012227039,0.00048015712,0.00019666248,0.00035819854,0.00017153572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014285895,0.000108018794,0.00417139,0.00007614654,0.00006213341,0.000096499236,0.000030029569,0.89403975,0.007674293,0.00034100498,0.00053324713,0.09272464],"study_design_scores_gemma":[0.0000018752538,0.000016000913,0.0005820359,0.0000036002825,0.000004663624,0.000007341383,0.000002847428,0.99811363,0.001099861,0.00009154218,0.00007366276,0.0000029565706],"about_ca_topic_score_codex":0.008097931,"about_ca_topic_score_gemma":0.007943137,"teacher_disagreement_score":0.008097931,"about_ca_system_score_codex":0.00055122917,"about_ca_system_score_gemma":0.0002647654,"threshold_uncertainty_score":0.01610154},"labels":[],"label_agreement":null},{"id":"W2741747421","doi":"10.1109/itec.2017.7993253","title":"Thermal energy storage for increasing heating performance and efficiency in electric vehicles","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Suomen Kulttuurirahasto; Canada Research Chairs; McMaster University","keywords":"Powertrain; Automotive engineering; Thermal energy storage; Energy storage; Electric vehicle; Environmental science; Battery (electricity); Cold start (automotive); Latent heat; Range (aeronautics); Driving cycle; Thermal energy; Energy recovery; Electric heating; Nuclear engineering; Heat exchanger; Coolant; Engineering; Energy (signal processing); Electrical engineering; Mechanical engineering; Aerospace engineering; Meteorology; Power (physics); Thermodynamics","score_opus":0.013808287272343959,"score_gpt":0.2567245254436505,"score_spread":0.24291623817130653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741747421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82257414,0.0040576393,0.155877,0.0003095729,0.00007327806,0.00007478644,0.00029900143,0.00068803556,0.01604657],"genre_scores_gemma":[0.99463505,0.00049150945,0.002840152,0.0000073219253,0.0000039689853,0.000015039614,0.000035585443,0.000015816295,0.0019555192],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999596,0.000009205326,0.000002159286,0.0000048542715,0.000017321527,0.0000068623276],"domain_scores_gemma":[0.9999654,0.0000143670095,0.0000042277056,0.0000045392962,0.000009515921,0.0000020044718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001056528,0.00018238486,0.00023989515,0.00016839645,0.00018111097,0.00035608388,0.00025675198,0.0001641177,0.0019107788],"category_scores_gemma":[0.00019254118,0.00013927372,0.00024269705,0.00025952022,0.00017367906,0.00054690504,0.0002116352,0.00019857784,0.00020254441],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053340825,0.00016829988,0.003940987,0.00047605066,0.00004954297,0.00022686676,0.00021883474,0.6752885,0.21816105,0.011287139,0.0011943951,0.08845496],"study_design_scores_gemma":[0.000043966927,0.00041472298,0.0025596926,0.000043682016,0.000045924935,0.00010005801,0.00012900669,0.8723039,0.11351158,0.0041585113,0.006661113,0.000027815806],"about_ca_topic_score_codex":0.0019060331,"about_ca_topic_score_gemma":0.0028387562,"teacher_disagreement_score":0.0019107788,"about_ca_system_score_codex":0.00028665914,"about_ca_system_score_gemma":0.00026513851,"threshold_uncertainty_score":0.006392181},"labels":[],"label_agreement":null},{"id":"W2742004287","doi":"10.1109/itec.2017.7993300","title":"A control algorithm to reduce electric vehicle battery pack RMS currents enabling a minimally sized supercapacitor pack","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Battery pack; Battery (electricity); Supercapacitor; Electric vehicle; Capacitance; Automotive engineering; MATLAB; Energy storage; Computer science; Electrical engineering; Engineering; Electrode; Power (physics); Physics","score_opus":0.02134800375517827,"score_gpt":0.28873201112950647,"score_spread":0.2673840073743282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742004287","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03645577,0.00013824129,0.95462817,0.00012093112,0.0001138963,0.00009422015,0.000024963498,0.0009229768,0.0075008725],"genre_scores_gemma":[0.89991874,0.000107878644,0.09382466,0.00008406021,0.00004757285,0.00013926758,0.000040221446,0.000054369917,0.0057832473],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999207,0.0000056168847,0.000005653736,0.000023901635,0.00003297419,0.000011130536],"domain_scores_gemma":[0.9998629,0.000036273526,0.000021454167,0.000010089235,0.000060502745,0.000008715598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014028989,0.00040171915,0.00028491806,0.0002712927,0.00025630096,0.0005232148,0.000582461,0.00024468498,0.001794172],"category_scores_gemma":[0.00037420724,0.00013867421,0.00015418154,0.00015813678,0.00026811194,0.0002590056,0.00022715965,0.0003157646,0.0002551672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002566359,0.00022700845,0.0010226879,0.0002617218,0.000054413325,0.00015263616,0.00022761771,0.44389617,0.11265028,0.0128903845,0.0043840944,0.42397633],"study_design_scores_gemma":[0.00003732402,0.00015585942,0.0003192549,0.000011602639,0.000017174085,0.000048523496,0.000018588215,0.98166305,0.013723358,0.0007271868,0.0032693446,0.0000087240605],"about_ca_topic_score_codex":0.002302015,"about_ca_topic_score_gemma":0.0025945716,"teacher_disagreement_score":0.002302015,"about_ca_system_score_codex":0.00027376655,"about_ca_system_score_gemma":0.00045815218,"threshold_uncertainty_score":0.0060020685},"labels":[],"label_agreement":null},{"id":"W2742067426","doi":"10.1109/itec.2017.7993319","title":"Li-ion battery model performance for automotive drive cycles with current pulse and EIS parameterization","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Capacitance; Equivalent circuit; Electrical impedance; Voltage; Parametrization (atmospheric modeling); Output impedance; Equivalent series resistance; RC circuit; Impedance parameters; Transfer function; Control theory (sociology); Computer science; Electronic engineering; Materials science; Electrical engineering; Physics; Engineering; Electrode; Capacitor; Power (physics); Thermodynamics","score_opus":0.02977924997507128,"score_gpt":0.28954411440074257,"score_spread":0.25976486442567126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742067426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.895418,0.0006554841,0.09278771,0.00014624803,0.000040931496,0.00012068899,0.0010231426,0.0018856315,0.007922227],"genre_scores_gemma":[0.9914306,0.0002051619,0.005531577,0.000018909117,0.0000030428691,0.00007934658,0.00052196183,0.00007250188,0.0021367802],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999905,0.000013941415,0.000008550416,0.000019046462,0.00004291474,0.000010478647],"domain_scores_gemma":[0.99977475,0.00006317122,0.000014906366,0.00007074482,0.00007102375,0.0000053582426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018422231,0.00060533674,0.0003708864,0.00042513764,0.00018028222,0.0004520258,0.00095784856,0.0005161382,0.0025391188],"category_scores_gemma":[0.00088638323,0.00013793529,0.00031449972,0.00048067895,0.00013054466,0.0010194727,0.00024977393,0.0003440029,0.0006058314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010301222,0.00032412066,0.008988297,0.00072306726,0.00011208401,0.0003173446,0.0004544527,0.731426,0.12313804,0.0024447674,0.0022436501,0.12879796],"study_design_scores_gemma":[0.000025662952,0.000409665,0.003982582,0.000020069949,0.000041427127,0.00015093847,0.0001288783,0.90271866,0.087948605,0.00072374335,0.003814658,0.000035160225],"about_ca_topic_score_codex":0.003627911,"about_ca_topic_score_gemma":0.0043597985,"teacher_disagreement_score":0.003627911,"about_ca_system_score_codex":0.0003686155,"about_ca_system_score_gemma":0.00028506425,"threshold_uncertainty_score":0.008494258},"labels":[],"label_agreement":null},{"id":"W2742459659","doi":"","title":"Impedance Spectroscopy as a Tool for Characterization of Surface Films on Lead and Lead Alloys","year":2005,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Antimony; Lead oxide; Lead–acid battery; Dielectric spectroscopy; Lead dioxide; Electrode; Materials science; Electrochemistry; Alloy; Anode; Phase (matter); Antimony oxide; Oxide; Inorganic chemistry; Analytical Chemistry (journal); Battery (electricity); Chemical engineering; Metallurgy; Chemistry; Physical chemistry","score_opus":0.013727160153989906,"score_gpt":0.27837208248578715,"score_spread":0.26464492233179726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742459659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94245136,0.002576297,0.052065793,0.00019453077,0.00008474626,0.00004434764,0.00045272376,0.00029809866,0.0018320543],"genre_scores_gemma":[0.9803258,0.0014323598,0.01632814,0.000052476702,0.000025158412,0.000040458337,0.00028646376,0.00004089662,0.0014683129],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99973005,0.00004473525,0.000020575164,0.00004592067,0.00013374457,0.000024918634],"domain_scores_gemma":[0.99976677,0.00011024914,0.00003395784,0.00001841259,0.00005694179,0.000013589518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022972717,0.00034544038,0.00035128283,0.0006744048,0.00021183383,0.00042378274,0.00032659265,0.00049722154,0.0009837272],"category_scores_gemma":[0.0005577296,0.00024146268,0.00019877503,0.00051020854,0.0002140875,0.0005039001,0.00024959803,0.00040192524,0.00025997864],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003346009,0.0000047968624,0.00019866247,0.000026473479,0.0000027188012,0.000031106814,0.000028008699,0.000043381835,0.99727875,0.000034429544,0.000011768807,0.002306503],"study_design_scores_gemma":[0.000004942745,0.00011943696,0.0030124919,0.000004011152,0.000013489802,0.00017377776,0.000060720347,0.0020893752,0.99353105,0.00010250651,0.0008830291,0.000005144987],"about_ca_topic_score_codex":0.00031156463,"about_ca_topic_score_gemma":0.00048414478,"teacher_disagreement_score":0.0009837272,"about_ca_system_score_codex":0.0001427786,"about_ca_system_score_gemma":0.000081215316,"threshold_uncertainty_score":0.003290832},"labels":[],"label_agreement":null},{"id":"W2742561751","doi":"10.3390/en10081157","title":"Analysis of Cooling Effectiveness and Temperature Uniformity in a Battery Pack for Cylindrical Batteries","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Plenum space; Battery pack; Inlet; Battery (electricity); Jet (fluid); Materials science; Vortex; Mechanics; Vortex generator; Electrical engineering; Physics; Mechanical engineering; Power (physics); Thermodynamics; Engineering","score_opus":0.013913394431559787,"score_gpt":0.2862653768500825,"score_spread":0.2723519824185227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742561751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96637607,0.00075716164,0.030918153,0.000025885085,0.000028958917,0.000036536632,0.00009599772,0.00018703748,0.0015742072],"genre_scores_gemma":[0.99231625,0.00028927313,0.006544267,0.0000071543227,0.0000044035455,0.00001832658,0.00008950647,0.00004175096,0.0006891169],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982613,0.000016882508,0.00000888668,0.000026948832,0.0000939426,0.000027174392],"domain_scores_gemma":[0.99972254,0.000078006946,0.000049658865,0.000029379982,0.00010962235,0.000010660084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024704201,0.00021864945,0.00034621762,0.00041320248,0.0001850808,0.00028051168,0.00031778894,0.00017106337,0.0010025635],"category_scores_gemma":[0.0008383784,0.00018283827,0.00024999076,0.00047616102,0.00023958908,0.0005694016,0.00015792988,0.00012944505,0.00020424344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045759176,0.000035523655,0.0036035827,0.00024824747,0.000020942995,0.0001370166,0.00011562363,0.012105027,0.955059,0.0003961269,0.00018521256,0.027636085],"study_design_scores_gemma":[0.00002135744,0.0010432239,0.023190593,0.000019302754,0.00005699789,0.00017768942,0.00013090545,0.06451374,0.9078191,0.0001312288,0.0028633173,0.000032513824],"about_ca_topic_score_codex":0.0008599423,"about_ca_topic_score_gemma":0.0011265218,"teacher_disagreement_score":0.0010025635,"about_ca_system_score_codex":0.00023038566,"about_ca_system_score_gemma":0.00020027261,"threshold_uncertainty_score":0.0033538938},"labels":[],"label_agreement":null},{"id":"W2743224174","doi":"10.1149/ma2017-02/4/394","title":"A Study of Esters As Co-Solvents in Lithium-Ion Batteries","year":2017,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Lithium (medication); Ion; Chemistry; Materials science; Inorganic chemistry; Organic chemistry; Psychology; Psychiatry","score_opus":0.03299691269623761,"score_gpt":0.31858388002593024,"score_spread":0.28558696732969263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2743224174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9750055,0.020005444,0.0023263674,0.00007902854,0.00005589445,0.000049212034,0.000083196275,0.000019389176,0.0023759878],"genre_scores_gemma":[0.98096246,0.0123394765,0.004060189,0.000053510015,0.000042132597,0.000027900714,0.00010532904,0.000013709534,0.0023953535],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996965,0.000087917,0.00003610939,0.000047140595,0.0001030386,0.000029311885],"domain_scores_gemma":[0.99976736,0.00007931862,0.000052795585,0.000013346548,0.00006629241,0.000020916445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043497284,0.00040375974,0.0003455155,0.0003109548,0.00025741966,0.0005710846,0.0002750763,0.0003267574,0.0010806832],"category_scores_gemma":[0.00051442604,0.00013194192,0.0003089678,0.000553925,0.00023294319,0.0009262463,0.00037151965,0.0003525312,0.00035144866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010214854,0.00013743184,0.002221916,0.0006563382,0.000030997202,0.00037419816,0.000089739675,0.00062247616,0.9712812,0.00021433501,0.0000897787,0.023260174],"study_design_scores_gemma":[0.000010528612,0.0010607602,0.0014677197,0.000040115352,0.0000421617,0.00021616777,0.00005246969,0.0008879358,0.9933743,0.000027793612,0.002812424,0.0000075947787],"about_ca_topic_score_codex":0.00045177893,"about_ca_topic_score_gemma":0.00052482815,"teacher_disagreement_score":0.0010806832,"about_ca_system_score_codex":0.00024026893,"about_ca_system_score_gemma":0.00017813977,"threshold_uncertainty_score":0.0036152601},"labels":[],"label_agreement":null},{"id":"W2746163771","doi":"10.3390/en10091268","title":"Modelling and Simulation of Electric Vehicle Fast Charging Stations Driven by High Speed Railway Systems","year":2017,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Charging station; Work (physics); Transport engineering; Service (business); Automotive engineering; Power (physics); Electric vehicle; Electric power; Engineering; Computer science; Electrical engineering; Business","score_opus":0.019018235171422766,"score_gpt":0.2619033727854109,"score_spread":0.24288513761398817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746163771","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4088059,0.0011586357,0.4766112,0.0008142149,0.000345723,0.0003241895,0.0019000581,0.0020886792,0.107951395],"genre_scores_gemma":[0.9760913,0.00044296792,0.007906051,0.000043892946,0.00001982987,0.00015893856,0.00046450828,0.000072788964,0.014799708],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997279,0.000071858754,0.00001826866,0.000041438252,0.00007975581,0.00006079277],"domain_scores_gemma":[0.9996475,0.00015123979,0.00005308246,0.000022625265,0.00009920628,0.000026429576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032371227,0.00072668697,0.000900847,0.0006014001,0.00061826623,0.0014654108,0.0011026033,0.0017622598,0.005929332],"category_scores_gemma":[0.00078608154,0.000382689,0.0012312639,0.0006945868,0.0005300107,0.0007554448,0.00075394206,0.00089649676,0.0007557451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018584036,0.000013644274,0.00046983498,0.000028032355,0.000011393024,0.00011160133,0.000032492866,0.9964091,0.0005971046,0.0012021055,0.0001467067,0.00095941854],"study_design_scores_gemma":[0.000006580017,0.000022183787,0.00020250656,0.0000055669257,0.0000062111835,0.000017062694,0.000021774287,0.9986292,0.00021097895,0.000295941,0.00057794206,0.0000040343853],"about_ca_topic_score_codex":0.024349557,"about_ca_topic_score_gemma":0.009879062,"teacher_disagreement_score":0.024349557,"about_ca_system_score_codex":0.0008238393,"about_ca_system_score_gemma":0.0010596804,"threshold_uncertainty_score":0.04841566},"labels":[],"label_agreement":null},{"id":"W2754054284","doi":"10.1016/j.electacta.2017.09.084","title":"Electrochemical-thermal Modeling to Evaluate Active Thermal Management of a Lithium-ion Battery Module","year":2017,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Ontario Trillium Foundation","keywords":"Battery (electricity); Thermal; Computer cooling; Materials science; Heat transfer; Nuclear engineering; Water cooling; Operating temperature; Lithium (medication); Automotive engineering; Thermodynamics; Thermal management of electronic devices and systems; Mechanical engineering; Engineering; Physics","score_opus":0.019322376829234007,"score_gpt":0.28110869620419326,"score_spread":0.2617863193749593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754054284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94652486,0.0005553196,0.04010313,0.0002128166,0.00005409541,0.00007218477,0.0005099434,0.00058992044,0.011377681],"genre_scores_gemma":[0.9968144,0.00008749925,0.0011731478,0.000015511976,0.000002484289,0.000018742108,0.00006637941,0.000012001163,0.0018097159],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999213,0.000012743353,0.0000055682367,0.000014460107,0.00003274008,0.000013088721],"domain_scores_gemma":[0.99989474,0.000037027337,0.000010015307,0.000010583006,0.000041592382,0.000006041158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018797336,0.0004505309,0.00045651235,0.00025883428,0.00031108464,0.000577221,0.0008204045,0.0006316554,0.0019291992],"category_scores_gemma":[0.00035848038,0.00018711269,0.00045755706,0.00025106996,0.00014719788,0.000517358,0.00018239113,0.00027277443,0.00037814118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052987254,0.00032391725,0.004592481,0.00032494662,0.00008406049,0.00026775227,0.0001381583,0.78548586,0.17829694,0.0016205134,0.0008946449,0.027440839],"study_design_scores_gemma":[0.000010273148,0.00015646503,0.0010469436,0.000005725114,0.00002447079,0.0000267676,0.00003143886,0.952058,0.045882985,0.0001653855,0.0005843034,0.0000071766367],"about_ca_topic_score_codex":0.0046776645,"about_ca_topic_score_gemma":0.0048214803,"teacher_disagreement_score":0.0046776645,"about_ca_system_score_codex":0.0005779204,"about_ca_system_score_gemma":0.00037098912,"threshold_uncertainty_score":0.009300828},"labels":[],"label_agreement":null},{"id":"W2754732633","doi":"10.1016/j.jpowsour.2017.09.028","title":"Streamline three-dimensional thermal model of a lithium titanate pouch cell battery in extreme temperature conditions with module simulation","year":2017,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Science and Technology Directorate; Vlaamse regering","keywords":"Thermal conduction; Thermal; Sizing; Materials science; Battery (electricity); Computer science; Heat transfer; Heat generation; Mechanical engineering; Nuclear engineering; Mechanics; Engineering; Thermodynamics; Chemistry; Physics; Composite material","score_opus":0.02973638798863317,"score_gpt":0.2608585934158045,"score_spread":0.2311222054271713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754732633","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6327835,0.0009459431,0.22281705,0.0014862074,0.0003320313,0.00030654666,0.0047411006,0.0019917567,0.13459583],"genre_scores_gemma":[0.97161883,0.00028170703,0.008227329,0.00017936228,0.00003370407,0.00024102461,0.0007254755,0.00016133826,0.01853128],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990976,0.000020092128,0.00000528941,0.000016370343,0.000030344081,0.000018118433],"domain_scores_gemma":[0.99980146,0.00008120548,0.000021476388,0.000018607052,0.00005896201,0.000018339551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000158653,0.00040747752,0.00072442426,0.0003286911,0.00069842907,0.0008592072,0.0014231218,0.0019553988,0.009478592],"category_scores_gemma":[0.0005624611,0.0003866352,0.00083599397,0.0006625749,0.0006416552,0.0007777357,0.0005108689,0.00066658604,0.00070250005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003282759,0.000019944788,0.00041919033,0.000028194067,0.000010041521,0.00008869986,0.00003276519,0.9951799,0.0012677715,0.0016111183,0.000316332,0.0009932952],"study_design_scores_gemma":[0.000011173311,0.000012839153,0.00017480916,0.0000033025947,0.000003959317,0.000012058197,0.000013173379,0.9987294,0.0002891625,0.0003540789,0.00039024584,0.0000057558846],"about_ca_topic_score_codex":0.023053696,"about_ca_topic_score_gemma":0.012989429,"teacher_disagreement_score":0.023053696,"about_ca_system_score_codex":0.00083460385,"about_ca_system_score_gemma":0.0010672779,"threshold_uncertainty_score":0.04583901},"labels":[],"label_agreement":null},{"id":"W2757315148","doi":"10.14288/1.0307436","title":"Simulation of lithium-ion batteries based on pulsed current characterization","year":2016,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Characterization (materials science); Current (fluid); Lithium (medication); Materials science; Ion; Computer science; Nanotechnology; Electrical engineering; Chemistry; Engineering; Psychology","score_opus":0.012025857727428715,"score_gpt":0.2049033633542955,"score_spread":0.19287750562686679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2757315148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7425449,0.00034440437,0.22571935,0.00035031137,0.00006816833,0.00019565762,0.0014000954,0.001555049,0.027822185],"genre_scores_gemma":[0.9836766,0.00018546025,0.010753912,0.000044075587,0.000006384903,0.00017869075,0.00045098245,0.000059531925,0.004644405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989855,0.000016427146,0.0000065041268,0.000016329617,0.000045195407,0.000016996673],"domain_scores_gemma":[0.9997838,0.000110598216,0.000018011257,0.000024833307,0.000053166972,0.000009620764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013744333,0.00038376017,0.0004742289,0.00023514345,0.00026541445,0.0005861941,0.0010289076,0.0008171814,0.0026041635],"category_scores_gemma":[0.00071994145,0.00022199962,0.00048074772,0.00037696946,0.00033927185,0.0007355192,0.0003240028,0.00047743384,0.00033459743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054243104,0.000025875876,0.0008780606,0.000052340394,0.0000108048625,0.00011370434,0.00006518385,0.98359483,0.009439502,0.001878923,0.0002881444,0.003598353],"study_design_scores_gemma":[0.000005428499,0.000017076212,0.00016629428,0.0000022869822,0.0000026327925,0.000013717288,0.00000936843,0.99718887,0.0019790912,0.00029300537,0.0003191305,0.0000030815122],"about_ca_topic_score_codex":0.0039805397,"about_ca_topic_score_gemma":0.0020020716,"teacher_disagreement_score":0.0039805397,"about_ca_system_score_codex":0.00059323246,"about_ca_system_score_gemma":0.0005083387,"threshold_uncertainty_score":0.008711755},"labels":[],"label_agreement":null},{"id":"W2758235151","doi":"10.1109/sege.2017.8052799","title":"Comparative safety risk and the use of repurposed EV batteries for stationary energy storage","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Electrification; Battery pack; Limiting; Automotive engineering; Repurposing; Computer science; Electric vehicle; Energy storage; Work (physics); Engineering; Reliability engineering; Electricity; Electrical engineering; Waste management","score_opus":0.059646252367493165,"score_gpt":0.30341870390067993,"score_spread":0.24377245153318677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2758235151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7816951,0.016462637,0.117588736,0.0017256598,0.000698256,0.0007023343,0.001441666,0.0005733515,0.079112284],"genre_scores_gemma":[0.97220176,0.0028998917,0.014671619,0.00019435493,0.00008655801,0.00013103704,0.0004378363,0.00008658889,0.009290443],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9961473,0.0008212033,0.00018250066,0.00029950365,0.0024081003,0.00014133107],"domain_scores_gemma":[0.9939663,0.002063037,0.0007289165,0.0007374489,0.0024303752,0.00007399615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003299882,0.00051445595,0.0004155235,0.0013333731,0.0006112194,0.0016978824,0.0019113373,0.0010307521,0.0058158613],"category_scores_gemma":[0.008331589,0.00019809276,0.00055533356,0.0006726688,0.0008480799,0.003474443,0.0010537268,0.000712393,0.0013837868],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004323661,0.00085911795,0.035055075,0.004560969,0.00030130195,0.003047744,0.0024206217,0.055450436,0.29610634,0.046972897,0.0076898816,0.54321194],"study_design_scores_gemma":[0.00015172502,0.019766906,0.052195247,0.0013076327,0.0008118389,0.008573473,0.003078616,0.057141937,0.7069961,0.033082295,0.11656451,0.00032971418],"about_ca_topic_score_codex":0.00074300723,"about_ca_topic_score_gemma":0.0012341371,"teacher_disagreement_score":0.0058158613,"about_ca_system_score_codex":0.0012227946,"about_ca_system_score_gemma":0.00047076045,"threshold_uncertainty_score":0.019456029},"labels":[],"label_agreement":null},{"id":"W2758920113","doi":"10.1021/acs.jpclett.7b02227","title":"How to Control the Discharge Products in Na–O<sub>2</sub> Cells: Direct Evidence toward the Role of Functional Groups at the Air Electrode Surface","year":2017,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry Letters","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Western University","funders":"Western University; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation; Canadian Light Source","keywords":"Electrode; Chemistry; Analytical Chemistry (journal); Materials science; Chemical engineering; Environmental chemistry; Environmental science; Engineering; Physical chemistry","score_opus":0.012557262378925621,"score_gpt":0.2248768928841018,"score_spread":0.21231963050517616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2758920113","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9580866,0.0040097614,0.033349745,0.0005990168,0.00018581653,0.00007341282,0.00015405423,0.0002390473,0.0033025749],"genre_scores_gemma":[0.98583174,0.0018647554,0.010535305,0.00013838324,0.000043625772,0.000028109382,0.00006431246,0.00007558056,0.0014181922],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998629,0.000016289467,0.00001091789,0.000035795518,0.0000527504,0.000021266877],"domain_scores_gemma":[0.9997577,0.00006168945,0.00006625125,0.000040787807,0.000055326862,0.000018216246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021937219,0.00037805483,0.00024409733,0.000097271106,0.0001364323,0.0005957593,0.00032392683,0.00044499247,0.000729143],"category_scores_gemma":[0.00055591715,0.00015950578,0.00015000509,0.00008973742,0.00040390948,0.0010057761,0.00024910684,0.00047232828,0.00034800556],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031347136,0.000011975578,0.00020434118,0.00006891265,0.0000041154194,0.000022054057,0.000025281413,0.0001608411,0.9945528,0.00020425566,0.000046938763,0.0046671927],"study_design_scores_gemma":[0.000004256019,0.00008185142,0.00059541845,0.0000031757224,0.0000057529423,0.000040295658,0.000027192851,0.0009713972,0.9965287,0.0001605045,0.0015770161,0.000004463005],"about_ca_topic_score_codex":0.00016249668,"about_ca_topic_score_gemma":0.00035957876,"teacher_disagreement_score":0.000729143,"about_ca_system_score_codex":0.00012116707,"about_ca_system_score_gemma":0.000109856024,"threshold_uncertainty_score":0.0024392009},"labels":[],"label_agreement":null},{"id":"W2759817783","doi":"10.1016/j.apenergy.2017.09.025","title":"A computationally efficient implementation of a full and reduced-order electrochemistry-based model for Li-ion batteries","year":2017,"lang":"en","type":"article","venue":"Applied Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Technische Universiteit Eindhoven; European Commission","keywords":"Model order reduction; Reduction (mathematics); Discretization; Battery (electricity); Computer science; Nonlinear system; Interpolation (computer graphics); Algebraic equation; Computation; Control theory (sociology); Mathematical optimization; Algorithm; Power (physics); Mathematics","score_opus":0.0133088219160069,"score_gpt":0.2810533975113795,"score_spread":0.26774457559537257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2759817783","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040560577,0.00035937215,0.94443077,0.00030008506,0.00010374054,0.00009107497,0.00023975137,0.00058610365,0.013328498],"genre_scores_gemma":[0.6864172,0.00064500724,0.29846102,0.00012770042,0.00005577637,0.00040456245,0.0005754062,0.00014776342,0.0131655615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999213,0.000013697607,0.0000048008205,0.00000984745,0.00004166809,0.000008615433],"domain_scores_gemma":[0.99992514,0.00002413729,0.000007083355,0.000013037494,0.000024094466,0.000006567014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016288918,0.0003476133,0.00052435364,0.00017807678,0.0003529936,0.0005021981,0.0008427724,0.0006758116,0.0025038396],"category_scores_gemma":[0.0004183127,0.00018571242,0.00056329934,0.0002272255,0.00025145206,0.0005514454,0.00038259252,0.0007239422,0.00057001493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003979814,0.00005351447,0.00045673476,0.00009018343,0.000011794716,0.000110407826,0.00004855978,0.9537514,0.013306947,0.012362195,0.0008395112,0.018928934],"study_design_scores_gemma":[0.000003674106,0.000009967445,0.0000437623,0.000002011187,0.0000014585067,0.00001183326,0.000003009404,0.99806744,0.00057711446,0.00046880092,0.00080813153,0.000002887185],"about_ca_topic_score_codex":0.008007524,"about_ca_topic_score_gemma":0.00626976,"teacher_disagreement_score":0.008007524,"about_ca_system_score_codex":0.00040454857,"about_ca_system_score_gemma":0.0010743825,"threshold_uncertainty_score":0.015921831},"labels":[],"label_agreement":null},{"id":"W2762384841","doi":"10.1109/ccta.2017.8062767","title":"Flight management systems for all-electric aircraft","year":2017,"lang":"en","type":"article","venue":"2017 IEEE Conference on Control Technology and Applications (CCTA)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Mitacs","keywords":"Range (aeronautics); Parameterized complexity; Optimal control; Maximum principle; Mode (computer interface); Control theory (sociology); Pontryagin's minimum principle; Minification; Computer science; Mathematical optimization; Automotive engineering; Engineering; Mathematics; Control (management); Aerospace engineering; Algorithm","score_opus":0.027855411046751852,"score_gpt":0.29941814700738323,"score_spread":0.27156273596063135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762384841","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0948613,0.0037024969,0.8306463,0.0011965325,0.00030261694,0.00019708522,0.0002952783,0.0013924554,0.067406006],"genre_scores_gemma":[0.93809974,0.0010538675,0.046387088,0.00012183088,0.00006293371,0.00008692715,0.00020093398,0.00003846745,0.013948174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999908,0.000017486504,0.00000538184,0.000016953705,0.00003957275,0.000012620463],"domain_scores_gemma":[0.99993944,0.0000118695625,0.0000112442,0.0000058368587,0.000026645153,0.0000049533987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001832549,0.00033396482,0.00020943051,0.00022620111,0.00041406264,0.00069502747,0.00030949755,0.0003250665,0.0045665666],"category_scores_gemma":[0.00029260133,0.00008266143,0.00020152057,0.00018820488,0.00015970743,0.0004582775,0.00035109383,0.00039016083,0.00047307514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017331209,0.00013013446,0.0022499624,0.0003416399,0.00004335563,0.0002465692,0.00021017375,0.44569066,0.033020392,0.08871098,0.010521644,0.41866115],"study_design_scores_gemma":[0.000038415666,0.0001683722,0.0015226633,0.000037649686,0.0000192915,0.000106394364,0.00010643851,0.9389406,0.00499209,0.021103868,0.03294617,0.000018042463],"about_ca_topic_score_codex":0.0031497679,"about_ca_topic_score_gemma":0.003048858,"teacher_disagreement_score":0.0045665666,"about_ca_system_score_codex":0.00045622434,"about_ca_system_score_gemma":0.0004914002,"threshold_uncertainty_score":0.01527673},"labels":[],"label_agreement":null},{"id":"W2765160966","doi":"10.1016/j.est.2017.09.001","title":"Preemptive degradation-induced battery replacement for hybrid electric vehicles in sustained optimal extended-range driving conditions","year":2017,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Centers for Disease Control and Prevention; Hydro-Québec","keywords":"Automotive engineering; Battery (electricity); Degradation (telecommunications); Electric vehicle; Proton exchange membrane fuel cell; Driving range; Computer science; Engineering; Reliability engineering; Electrical engineering; Fuel cells; Power (physics)","score_opus":0.018735584633271882,"score_gpt":0.2877317048334899,"score_spread":0.268996120200218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765160966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9681018,0.00061928225,0.026648402,0.00014807314,0.000072879324,0.000028146802,0.00008460262,0.00020626753,0.0040905816],"genre_scores_gemma":[0.9993693,0.000023341892,0.00032967437,0.000004512762,0.0000018265896,0.000002036383,0.000010919819,0.0000023891132,0.00025606918],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999902,0.000011287679,0.0000043428904,0.000016988079,0.000026052721,0.00003928396],"domain_scores_gemma":[0.9997727,0.00007072404,0.000028788723,0.000023085491,0.00007893879,0.000025670603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018870477,0.00025955314,0.00034394226,0.00013546212,0.00032704414,0.00038978533,0.0004934502,0.00025816367,0.0012933273],"category_scores_gemma":[0.000499362,0.00008835801,0.00015007003,0.00011753707,0.0002645169,0.00040532218,0.0002741662,0.00026112905,0.0001655945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0059099454,0.0007017702,0.011876807,0.00060267904,0.00008049241,0.0017991489,0.00037095507,0.5694535,0.26676112,0.0053082462,0.00324068,0.13389471],"study_design_scores_gemma":[0.000040072664,0.00063382275,0.0056880265,0.000016312935,0.000022238844,0.0002740267,0.00028538323,0.9555561,0.034266394,0.0021592611,0.0010435103,0.000014932461],"about_ca_topic_score_codex":0.0017435314,"about_ca_topic_score_gemma":0.003890206,"teacher_disagreement_score":0.0017435314,"about_ca_system_score_codex":0.00031004363,"about_ca_system_score_gemma":0.0005118116,"threshold_uncertainty_score":0.0043266416},"labels":[],"label_agreement":null},{"id":"W2765269397","doi":"10.1016/j.electacta.2017.10.051","title":"Experimental Investigation of a New Passive Thermal Management System for a Li-Ion Battery Pack Using Phase Change Composite Material","year":2017,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":113,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Ontario Institute of Technology","funders":"","keywords":"Battery pack; Composite number; Phase-change material; Battery (electricity); Materials science; Thermocouple; Composite material; Phase (matter); Phase change; Computer cooling; Thermal; Chemistry; Thermodynamics; Thermal management of electronic devices and systems; Mechanical engineering","score_opus":0.04551308502372826,"score_gpt":0.3087998875642163,"score_spread":0.26328680254048803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765269397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99376315,0.00010587897,0.00484329,0.00003737477,0.0000414426,0.0000548975,0.00012191302,0.00014465704,0.00088728813],"genre_scores_gemma":[0.9951449,0.000067825764,0.00304672,0.0000151571285,0.000008309398,0.00003834273,0.00006749648,0.00001930755,0.0015919893],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998554,0.000014875105,0.000008961648,0.000040799416,0.00005641467,0.000023565042],"domain_scores_gemma":[0.99977404,0.000047887715,0.000027098446,0.0000380363,0.00008991046,0.00002312095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022719691,0.0003080231,0.0003622318,0.000209516,0.00039947047,0.00028444797,0.00056265225,0.00043660108,0.0025685031],"category_scores_gemma":[0.00029961634,0.00022249675,0.00018316421,0.00020043689,0.00031949405,0.00067553215,0.000225978,0.00029611768,0.00039297703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041488154,0.00012275424,0.0003725893,0.00011490888,0.000005961613,0.00004844181,0.00006803219,0.00022865723,0.9952421,0.000078579644,0.000090690424,0.0032124459],"study_design_scores_gemma":[0.000036741996,0.0011925076,0.0030854929,0.000004323495,0.000023106684,0.00008300556,0.000054545766,0.0032025555,0.9910677,0.000026327527,0.001214938,0.000008816548],"about_ca_topic_score_codex":0.00030108073,"about_ca_topic_score_gemma":0.00053859793,"teacher_disagreement_score":0.0025685031,"about_ca_system_score_codex":0.00017515119,"about_ca_system_score_gemma":0.00021550205,"threshold_uncertainty_score":0.008592546},"labels":[],"label_agreement":null},{"id":"W2766633029","doi":"10.1016/j.ifacol.2017.08.269","title":"State of Charge estimation via extended Kalman filter designed for electrochemical equations","year":2017,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Extended Kalman filter; Kalman filter; State of charge; Observer (physics); Control theory (sociology); Battery (electricity); Alpha beta filter; Algebraic equation; Invariant extended Kalman filter; Computer science; State (computer science); Electrochemistry; Ensemble Kalman filter; Control engineering; Applied mathematics; Moving horizon estimation; Engineering; Algorithm; Mathematics; Chemistry; Physics; Electrode; Nonlinear system; Physical chemistry; Control (management); Thermodynamics","score_opus":0.026500354273544434,"score_gpt":0.3096919294754124,"score_spread":0.283191575201868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766633029","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004753601,0.00023047626,0.99397933,0.000049279686,0.0000587192,0.000015962407,0.00002750854,0.00028157435,0.00060356513],"genre_scores_gemma":[0.7537174,0.0015857674,0.23717147,0.00013431057,0.00017625216,0.0003090668,0.00039811648,0.00007513031,0.0064324844],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969065,0.00004910539,0.000027881733,0.000101744765,0.00010077675,0.000029780489],"domain_scores_gemma":[0.99956816,0.00017685277,0.000060298993,0.000030772935,0.00015436718,0.000009620808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004946879,0.0005678499,0.000915752,0.00034044235,0.00034043065,0.0007134403,0.000669369,0.00086046435,0.0014957137],"category_scores_gemma":[0.001931962,0.0003528119,0.0005960177,0.00043114708,0.00032860777,0.0009852486,0.0005041591,0.0011888795,0.00045321768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015299929,0.000061901665,0.0018311297,0.00026366263,0.00011255947,0.00011615299,0.00014340339,0.76264924,0.015186317,0.011244645,0.0019235384,0.20631437],"study_design_scores_gemma":[0.000011062637,0.000028617396,0.00038205323,0.0000097623615,0.000013006164,0.000018263505,0.0000043855066,0.9962692,0.0013915778,0.0008667515,0.0009939104,0.000011356767],"about_ca_topic_score_codex":0.015474772,"about_ca_topic_score_gemma":0.009450188,"teacher_disagreement_score":0.015474772,"about_ca_system_score_codex":0.00056069315,"about_ca_system_score_gemma":0.001071619,"threshold_uncertainty_score":0.030769408},"labels":[],"label_agreement":null},{"id":"W2767604027","doi":"10.1109/ias.2017.8101722","title":"State-of-charge estimation for li-ion battery using extended Kalman filter (EKF) and central difference Kalman filter (CDKF)","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Extended Kalman filter; Battery (electricity); State of charge; Control theory (sociology); Kalman filter; Voltage; Mean squared error; Invariant extended Kalman filter; Computer science; Approximation error; Engineering; Mathematics; Algorithm; Electrical engineering; Power (physics); Physics; Statistics; Artificial intelligence","score_opus":0.04361774930574948,"score_gpt":0.30771390392267883,"score_spread":0.26409615461692937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767604027","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.065348744,0.00083462446,0.92974627,0.00012877113,0.000079508405,0.000047658323,0.00008377516,0.001300047,0.0024305652],"genre_scores_gemma":[0.9004286,0.0006409801,0.096718244,0.00004799684,0.000025890722,0.00008879357,0.0001680333,0.000033904915,0.0018475502],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998078,0.000024992209,0.000019430494,0.00004899494,0.00008006344,0.00001875747],"domain_scores_gemma":[0.99969864,0.00009555943,0.00003760241,0.000019555615,0.00014216035,0.000006420315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033940838,0.00037141677,0.00045877422,0.00035890323,0.00028117545,0.00045093693,0.0004556995,0.0004951358,0.0006317147],"category_scores_gemma":[0.0012055007,0.00018839177,0.0003595772,0.0003053719,0.00016045308,0.0008142747,0.00025754166,0.0003765896,0.00019381155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032034746,0.000103412276,0.009272852,0.000409149,0.00010421421,0.00017926499,0.00026123875,0.44326547,0.04912922,0.0031556084,0.002053979,0.4917453],"study_design_scores_gemma":[0.00001976767,0.00007451908,0.0024848233,0.000014851162,0.00002533798,0.00006671786,0.000021300917,0.9825363,0.01289297,0.0004712473,0.0013636448,0.000028558221],"about_ca_topic_score_codex":0.015090633,"about_ca_topic_score_gemma":0.011064979,"teacher_disagreement_score":0.015090633,"about_ca_system_score_codex":0.00046817918,"about_ca_system_score_gemma":0.0006931406,"threshold_uncertainty_score":0.030005634},"labels":[],"label_agreement":null},{"id":"W2769207427","doi":"10.1109/ecce.2017.8095834","title":"Optimal performance of a full scale li-ion battery and li-ion capacitor hybrid energy storage system for a plug-in hybrid vehicle","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery pack; Battery (electricity); Energy storage; Automotive engineering; Drivetrain; Capacitor; Electrical engineering; Electric vehicle; Hybrid vehicle; Power (physics); Engineering; Computer science; Torque; Voltage","score_opus":0.011918096433897284,"score_gpt":0.2296078761441241,"score_spread":0.2176897797102268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769207427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95722884,0.000547474,0.031873748,0.00017581665,0.000035046887,0.000084071275,0.00014994059,0.00026230127,0.009642838],"genre_scores_gemma":[0.9979366,0.000054259293,0.0012980856,0.000007962144,0.0000016171001,0.000017338325,0.000026329546,0.000005548399,0.0006522828],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988127,0.00001933303,0.0000065883173,0.000024043875,0.00004058865,0.000028191915],"domain_scores_gemma":[0.9998766,0.00003911694,0.000017653814,0.000007677106,0.00004493449,0.000013988591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023658224,0.0004835441,0.0005539052,0.0002470206,0.0005356771,0.0008162934,0.00047405856,0.00039697747,0.0019844559],"category_scores_gemma":[0.00027212812,0.0002463108,0.00027821818,0.00018907723,0.00030985157,0.0005580689,0.0003086984,0.00023431449,0.00025344014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011895504,0.00021770634,0.0023021086,0.0004209426,0.00009989514,0.00027434184,0.00015310296,0.80915004,0.15521273,0.0012132215,0.0011070969,0.028659265],"study_design_scores_gemma":[0.000084540196,0.0015203087,0.0027610436,0.000016414298,0.00008384879,0.00007175805,0.000183743,0.9478915,0.045907848,0.00049835973,0.0009439793,0.00003668221],"about_ca_topic_score_codex":0.0048556314,"about_ca_topic_score_gemma":0.007270483,"teacher_disagreement_score":0.0048556314,"about_ca_system_score_codex":0.00078089157,"about_ca_system_score_gemma":0.00074377126,"threshold_uncertainty_score":0.00965476},"labels":[],"label_agreement":null},{"id":"W2771078829","doi":"10.1115/1.4038631","title":"Coupled Numerical Approach for Automotive Battery Pack Lifetime Estimates With Thermal Management","year":2017,"lang":"en","type":"article","venue":"Journal of Electrochemical Energy Conversion and Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"Natural Resources Canada","keywords":"Battery (electricity); Battery pack; Heat transfer; Mechanics; Thermal; Current (fluid); Automotive industry; Materials science; Thermodynamics; Physics","score_opus":0.007328277960452726,"score_gpt":0.22671970557727056,"score_spread":0.21939142761681782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771078829","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07418953,0.0003681277,0.9183564,0.0001580199,0.000058209167,0.00011379685,0.00014559878,0.0005060359,0.0061042723],"genre_scores_gemma":[0.81113523,0.0003658526,0.18352734,0.00010080828,0.0000378971,0.00043520905,0.00025617567,0.00016781563,0.0039737266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981815,0.0000504342,0.000010435127,0.000032235926,0.00006792854,0.000020760328],"domain_scores_gemma":[0.99947995,0.00028090968,0.000058897815,0.000053010943,0.00010499511,0.000022281423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057071727,0.0005712131,0.00058704894,0.00076314755,0.00038566763,0.0007087265,0.0011071976,0.0010887012,0.0013815693],"category_scores_gemma":[0.0018269959,0.00053172174,0.00068395294,0.00053024036,0.0004941932,0.0007355592,0.0007582671,0.00059785566,0.0002854186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001150185,0.000011520205,0.0003104287,0.000017443814,0.000008278715,0.000018250008,0.000016260818,0.9939174,0.0013886562,0.0011369801,0.000052239022,0.0031111601],"study_design_scores_gemma":[0.000001073773,0.0000028636678,0.000024822708,0.0000011384997,9.2714777e-7,0.0000022117401,0.0000023266207,0.9994542,0.0001954581,0.00022293636,0.00009047321,0.0000014733507],"about_ca_topic_score_codex":0.006932937,"about_ca_topic_score_gemma":0.00475979,"teacher_disagreement_score":0.006932937,"about_ca_system_score_codex":0.0008823495,"about_ca_system_score_gemma":0.0011158277,"threshold_uncertainty_score":0.013785183},"labels":[],"label_agreement":null},{"id":"W2773051758","doi":"10.1109/icrera.2017.8191193","title":"A novel online adaptive fast simple state of charge estimation for Lithium Ion batteries","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Battery (electricity); State of charge; Computer science; Voltage; Estimation theory; Equivalent circuit; Lithium-ion battery; Control theory (sociology); Algorithm; Engineering; Electrical engineering; Power (physics); Artificial intelligence","score_opus":0.04346495795424767,"score_gpt":0.3164041760977458,"score_spread":0.27293921814349814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773051758","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008066088,0.00044881974,0.9891935,0.000052731266,0.00006252463,0.00002872579,0.00003425133,0.0008584488,0.0012549962],"genre_scores_gemma":[0.6775237,0.00088086264,0.31556174,0.00014435251,0.00012922879,0.00015400487,0.00022781291,0.00010305495,0.005275321],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997634,0.00002809305,0.00001534547,0.00006546661,0.00010975404,0.000017830873],"domain_scores_gemma":[0.9998293,0.000051051615,0.000024282643,0.000024678686,0.000063398395,0.0000072096173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022335886,0.00053664995,0.00061258057,0.00043591473,0.00024927696,0.0005533875,0.00087775674,0.00056829094,0.001342551],"category_scores_gemma":[0.00091864343,0.00028867798,0.00032989506,0.00038684998,0.00016069713,0.0010444033,0.00046972072,0.0005547355,0.0005337427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023570185,0.00012062422,0.0023080232,0.00030136292,0.00009197029,0.00019050673,0.00016181795,0.14716601,0.09750331,0.006623895,0.0030978846,0.7421989],"study_design_scores_gemma":[0.000014098272,0.000075737626,0.00061127666,0.000010943209,0.000015346586,0.00010450607,0.000009503193,0.98223084,0.012466126,0.0008633505,0.0035759213,0.000022298358],"about_ca_topic_score_codex":0.0018487796,"about_ca_topic_score_gemma":0.0019309729,"teacher_disagreement_score":0.0018487796,"about_ca_system_score_codex":0.00026176768,"about_ca_system_score_gemma":0.00034571052,"threshold_uncertainty_score":0.004491329},"labels":[],"label_agreement":null},{"id":"W2773345598","doi":"10.1109/pcicon.2017.8188747","title":"Lithium-ion batteries for industrial applications","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MPB Technologies & Communications (Canada)","funders":"","keywords":"Lithium (medication); Energy storage; Automotive industry; Computer science; Lead–acid battery; Energy density; Process engineering; Automotive engineering; Power (physics); Engineering; Battery (electricity); Engineering physics","score_opus":0.06515537975481177,"score_gpt":0.3232666797118795,"score_spread":0.2581112999570677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773345598","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022247491,0.46668428,0.1099203,0.0074563273,0.0052273027,0.00048708607,0.0015010184,0.0038515092,0.38262472],"genre_scores_gemma":[0.2745273,0.38449973,0.09853006,0.0031503933,0.0023634867,0.00049709313,0.0024313147,0.00064567104,0.23335496],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995678,0.000035421748,0.000027338856,0.000051329236,0.0002837684,0.0000343821],"domain_scores_gemma":[0.999869,0.00001607878,0.000011035892,0.000018621357,0.00007035405,0.000014942188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033625102,0.0006066218,0.0006376915,0.0006274006,0.00067806477,0.0016652999,0.0009862267,0.0011015313,0.014639155],"category_scores_gemma":[0.00045458798,0.00020043671,0.00033111632,0.0011938091,0.00027872846,0.001802612,0.0010272597,0.0012722301,0.012683363],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022473055,0.00018029474,0.00071748823,0.0040382105,0.000031442774,0.0005509216,0.00031457876,0.0026047605,0.15348032,0.07493788,0.07891274,0.68400663],"study_design_scores_gemma":[0.000021524625,0.00017963268,0.00029734237,0.0003956929,0.000023371202,0.0007603226,0.000097158394,0.0013607928,0.038443316,0.013505624,0.9448816,0.000033542958],"about_ca_topic_score_codex":0.00025805068,"about_ca_topic_score_gemma":0.00040378497,"teacher_disagreement_score":0.014639155,"about_ca_system_score_codex":0.0005278287,"about_ca_system_score_gemma":0.0005168661,"threshold_uncertainty_score":0.048972905},"labels":[],"label_agreement":null},{"id":"W2773421139","doi":"10.1016/j.jpowsour.2017.12.029","title":"Strain distribution and failure mode of polymer separators for Li-ion batteries under biaxial loading","year":2017,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Oak Ridge National Laboratory; National Highway Traffic Safety Administration; Office of Energy Efficiency and Renewable Energy; McMaster University; U.S. Department of Energy","keywords":"Separator (oil production); Materials science; Composite material; Ultimate tensile strength; Polymer; Digital image correlation; Anisotropy; Tensile testing; Deformation (meteorology); Failure mode and effects analysis; Structural engineering; Thermodynamics; Engineering; Physics; Optics","score_opus":0.014894356372202648,"score_gpt":0.292004942156287,"score_spread":0.2771105857840843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773421139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987698,0.0000788854,0.0004927931,0.000018146047,0.000003549286,0.000002734222,0.00011617108,0.000022989036,0.000494828],"genre_scores_gemma":[0.9993088,0.000029510504,0.00009283072,0.0000035020385,0.0000016371326,0.0000036248086,0.000084002524,0.000005626434,0.0004704596],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998814,0.000010661961,0.000009828387,0.00002292472,0.00004666066,0.000028632956],"domain_scores_gemma":[0.9994512,0.0001428275,0.00013996616,0.000047029178,0.00016998089,0.000048951693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022755093,0.00024543452,0.00015186076,0.00052619714,0.00034595994,0.000263148,0.00029337368,0.0003420835,0.0032874674],"category_scores_gemma":[0.00064647064,0.00016951756,0.00013360691,0.00041576618,0.00031578745,0.00051886844,0.00015093453,0.0002624349,0.00038659966],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016188666,0.00014773088,0.018452803,0.0001065534,0.000021402371,0.0003881243,0.0004167283,0.006942793,0.9578698,0.00024525364,0.0004115707,0.013378359],"study_design_scores_gemma":[0.000017707598,0.0007642594,0.13245912,0.000021267444,0.000034978784,0.00030167677,0.00070455647,0.064359725,0.8002069,0.00016563774,0.0009166522,0.00004747977],"about_ca_topic_score_codex":0.0011560131,"about_ca_topic_score_gemma":0.0014412167,"teacher_disagreement_score":0.0032874674,"about_ca_system_score_codex":0.00022074206,"about_ca_system_score_gemma":0.00014653968,"threshold_uncertainty_score":0.010997653},"labels":[],"label_agreement":null},{"id":"W2774952104","doi":"10.1103/physreve.97.012411","title":"Electroneutral models for dynamic Poisson-Nernst-Planck systems","year":2018,"lang":"en","type":"article","venue":"Physical review. E","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fields Institute for Research in Mathematical Sciences; York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nernst equation; Boundary value problem; Boundary (topology); Computation; Applied mathematics; Dirichlet boundary condition; Boundary layer; Physics; Statistical physics; Computer science; Mathematical analysis; Mathematics; Mechanics; Quantum mechanics; Algorithm","score_opus":0.021720850434388966,"score_gpt":0.346367801168735,"score_spread":0.324646950734346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2774952104","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0817815,0.0029089858,0.8623638,0.0012563715,0.00024446932,0.00009902977,0.0003586393,0.00033720618,0.050649934],"genre_scores_gemma":[0.88665223,0.003533046,0.06895977,0.00082510593,0.0003071922,0.00044135412,0.000635552,0.00023576686,0.03840989],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996532,0.000085482105,0.000021982889,0.000056400357,0.0001228373,0.000060070743],"domain_scores_gemma":[0.99951303,0.00017637176,0.00008634518,0.000045315803,0.00012593162,0.000052992375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059377577,0.00076293637,0.00085177255,0.0010364979,0.00075619324,0.00121305,0.0015412406,0.001621346,0.0030349728],"category_scores_gemma":[0.002079366,0.00032459243,0.0010972662,0.0005165701,0.00122388,0.0018725207,0.001664712,0.0009825858,0.00065202557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023726852,0.000048281894,0.0004810052,0.00009466425,0.000022250535,0.00027630222,0.00016969151,0.465622,0.0038135725,0.5243391,0.0015828457,0.0035266115],"study_design_scores_gemma":[0.000007770423,0.00000772865,0.000095350995,0.0000064107976,0.00000562007,0.000046831665,0.000024070005,0.94978195,0.00028424937,0.048290327,0.0014406596,0.00000897606],"about_ca_topic_score_codex":0.004488261,"about_ca_topic_score_gemma":0.0019084994,"teacher_disagreement_score":0.004488261,"about_ca_system_score_codex":0.001048302,"about_ca_system_score_gemma":0.0006396357,"threshold_uncertainty_score":0.010152996},"labels":[],"label_agreement":null},{"id":"W2776458183","doi":"10.1109/tie.2017.2787586","title":"Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":845,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Nvidia","keywords":"Recurrent neural network; Computer science; State of charge; Battery (electricity); Kalman filter; Inference; Feature (linguistics); Artificial neural network; Term (time); Extended Kalman filter; Mean squared error; Artificial intelligence; Real-time computing; Power (physics)","score_opus":0.04521633725390264,"score_gpt":0.3063611414863061,"score_spread":0.2611448042324035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2776458183","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2854172,0.0038987922,0.69516784,0.0006695313,0.00035564677,0.000067872876,0.0013999937,0.006719268,0.0063037556],"genre_scores_gemma":[0.9343483,0.0005202665,0.06072884,0.0001196847,0.000048026173,0.0000762821,0.0012977762,0.00009129198,0.0027695626],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998759,0.000019215067,0.000010458515,0.000042222568,0.000032027874,0.0000200428],"domain_scores_gemma":[0.9997358,0.000101962076,0.00003512891,0.000031191783,0.000088470355,0.0000074421787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036572406,0.0007612471,0.00031862225,0.00030704704,0.00023730472,0.00043020013,0.00084324635,0.00051818613,0.001174627],"category_scores_gemma":[0.0015890033,0.00026406182,0.00033772257,0.00040282225,0.00019554581,0.0008805647,0.00035018762,0.0009213485,0.0004651111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021379479,0.00013016559,0.0031593177,0.00014599573,0.00011144734,0.00014155709,0.00008412903,0.7191603,0.023682222,0.001710692,0.0040418673,0.24741851],"study_design_scores_gemma":[0.00000332171,0.000017295542,0.00045056353,0.000006196291,0.000008360339,0.000009646334,0.000006907533,0.993383,0.005008714,0.00071761466,0.00038361448,0.000004832557],"about_ca_topic_score_codex":0.011191437,"about_ca_topic_score_gemma":0.021965088,"teacher_disagreement_score":0.011191437,"about_ca_system_score_codex":0.000645111,"about_ca_system_score_gemma":0.0004994103,"threshold_uncertainty_score":0.02225256},"labels":[],"label_agreement":null},{"id":"W2779116709","doi":"10.1155/2017/6510747","title":"State-of-Charge Estimation and Active Cell Pack Balancing Design of Lithium Battery Power System for Smart Electric Vehicle","year":2017,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Newcastle University","keywords":"State of charge; Battery pack; Robustness (evolution); Kalman filter; Lithium iron phosphate; Battery (electricity); Extended Kalman filter; Electric vehicle; Load balancing (electrical power); Automotive engineering; Control theory (sociology); Computer science; Engineering; Power (physics); Chemistry; Control (management); Mathematics","score_opus":0.011353873005365132,"score_gpt":0.25354825161023176,"score_spread":0.24219437860486662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2779116709","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05081795,0.00029106953,0.94474393,0.00011722023,0.00004182539,0.00005844827,0.000040626022,0.0005522558,0.0033366275],"genre_scores_gemma":[0.9791566,0.00013037086,0.018940492,0.000028109433,0.00001776536,0.00007386987,0.000056473385,0.000020192338,0.00157618],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998221,0.000027137246,0.000013885461,0.000046170953,0.000070234644,0.000020523572],"domain_scores_gemma":[0.99984765,0.000026937847,0.00003120012,0.0000114988425,0.00007561479,0.0000071087034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027169494,0.00046821177,0.00042044534,0.00026919233,0.00035079272,0.0006530474,0.0006959995,0.00038708054,0.0014316678],"category_scores_gemma":[0.00041019145,0.0003217459,0.00033984354,0.0001849889,0.0002065796,0.0008745202,0.00032380517,0.00033869612,0.00035502258],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020996582,0.00006887255,0.001977446,0.00017363571,0.000074625816,0.00010080459,0.000154517,0.7886345,0.04035289,0.0032267177,0.0010891964,0.16393687],"study_design_scores_gemma":[0.000009112194,0.00008346892,0.0004421485,0.000005383706,0.000017402266,0.000017421262,0.000013316568,0.9935568,0.0046263626,0.0004524935,0.00076960505,0.000006463947],"about_ca_topic_score_codex":0.0044669504,"about_ca_topic_score_gemma":0.004994385,"teacher_disagreement_score":0.0044669504,"about_ca_system_score_codex":0.00041033732,"about_ca_system_score_gemma":0.00054960465,"threshold_uncertainty_score":0.008881927},"labels":[],"label_agreement":null},{"id":"W2782235535","doi":"10.1109/tte.2017.2788190","title":"Torque Cancelation of Integrated Battery Charger Based on Six-Phase Permanent Magnet Synchronous Motor Drives for Electric Vehicles","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Pacific Railway (Canada); McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rotor (electric); Torque; Stator; Control theory (sociology); Engineering; Switched reluctance motor; Synchronous motor; Direct torque control; Electrical engineering; Three-phase; Topology (electrical circuits); Electromagnetic coil; Voltage; Computer science; Induction motor; Physics","score_opus":0.012356746197565525,"score_gpt":0.26552990756900635,"score_spread":0.2531731613714408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782235535","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1704859,0.00060263864,0.8163431,0.00009004556,0.0001618051,0.00007633473,0.000035186295,0.0013037369,0.010901205],"genre_scores_gemma":[0.9564364,0.000132582,0.039516013,0.000034720586,0.000028410612,0.000018128994,0.000049291135,0.000029813931,0.0037546798],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986446,0.000020421316,0.000009308385,0.000021049493,0.00007063663,0.0000140367965],"domain_scores_gemma":[0.99988973,0.000014447175,0.000021496033,0.000014348464,0.000049781025,0.000010209334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011689225,0.00030463887,0.00035797275,0.00026554783,0.0002776932,0.00037844665,0.00073353335,0.00019272283,0.0014467025],"category_scores_gemma":[0.00016249203,0.000116844436,0.0002543045,0.00014294357,0.00015689347,0.0003946328,0.00018223554,0.00022249928,0.00052172557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006693512,0.00026513665,0.0013219443,0.0006586025,0.000085335836,0.0009219198,0.0003130933,0.06255023,0.5002867,0.012827056,0.0025284018,0.41757226],"study_design_scores_gemma":[0.00012188129,0.0016724512,0.0022197673,0.000035472116,0.00008939658,0.0012224442,0.00008653927,0.83200216,0.13948695,0.003420683,0.019599766,0.000042506825],"about_ca_topic_score_codex":0.00049112603,"about_ca_topic_score_gemma":0.0009214784,"teacher_disagreement_score":0.0014467025,"about_ca_system_score_codex":0.00014358193,"about_ca_system_score_gemma":0.00014977784,"threshold_uncertainty_score":0.0048396587},"labels":[],"label_agreement":null},{"id":"W2783722954","doi":"10.4236/epe.2018.101002","title":"A Generic Battery Model and Its Parameter Identification","year":2018,"lang":"en","type":"article","venue":"Energy and Power Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Datasheet; Battery (electricity); MATLAB; Voltage; Lithium-ion battery; Exponential function; Simulation; Computer science; Control theory (sociology); Materials science; Automotive engineering; Electrical engineering; Engineering; Mathematics; Thermodynamics; Physics; Power (physics); Mathematical analysis","score_opus":0.013431466463437219,"score_gpt":0.22722848487135944,"score_spread":0.21379701840792223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783722954","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013284366,0.0006892656,0.96656525,0.00018709425,0.00012831188,0.00014845085,0.0013718551,0.0020998744,0.015525548],"genre_scores_gemma":[0.7930126,0.0038310622,0.16211757,0.00025831928,0.00015368212,0.0012956392,0.0055010687,0.00053031684,0.033299778],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997389,0.000040725434,0.000024637091,0.000073269366,0.00010106805,0.000021428707],"domain_scores_gemma":[0.9998062,0.000033300323,0.00002640213,0.000037240854,0.00009137503,0.0000053564495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027200443,0.001001375,0.0008314509,0.000664764,0.00025089405,0.0007705387,0.0017856456,0.00089802494,0.0036469898],"category_scores_gemma":[0.0007814566,0.00031237985,0.0010029553,0.0006423322,0.00027974704,0.0013925054,0.0006985691,0.0008059503,0.0020404554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071985436,0.00003749569,0.0009967486,0.00035963458,0.00005092231,0.0003332655,0.00008947172,0.91023666,0.012437472,0.014679549,0.0030379046,0.057669],"study_design_scores_gemma":[0.000009041641,0.000045911722,0.00041332768,0.000019344576,0.00002106551,0.0002531829,0.000014835071,0.9801389,0.0036574462,0.003546369,0.011861117,0.000019404053],"about_ca_topic_score_codex":0.0033778034,"about_ca_topic_score_gemma":0.0019390187,"teacher_disagreement_score":0.0036469898,"about_ca_system_score_codex":0.00051526766,"about_ca_system_score_gemma":0.0006625626,"threshold_uncertainty_score":0.012200415},"labels":[],"label_agreement":null},{"id":"W2786015346","doi":"10.1109/tpel.2018.2798636","title":"Control and Analysis of a Modular Bridge for Battery Cell Voltage Balancing","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Modular design; Transformer; Voltage; Electrical engineering; Battery (electricity); Engineering; Electromagnetic coil; High voltage; Computer science; Power (physics); Physics","score_opus":0.007183216201386951,"score_gpt":0.2417500343399466,"score_spread":0.23456681813855965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786015346","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038358267,0.0002589103,0.94951403,0.00010069835,0.00005051595,0.0000980149,0.000051996773,0.0003471548,0.0112204915],"genre_scores_gemma":[0.9601763,0.00019278526,0.03481729,0.000033750253,0.000022240303,0.000121923236,0.0000386349,0.000021227148,0.004575834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998288,0.00001967743,0.0000055124046,0.000031239968,0.00009976616,0.000014963976],"domain_scores_gemma":[0.9998902,0.000025965948,0.000020374724,0.000013459373,0.0000440165,0.0000059919694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026400894,0.0003063964,0.00028571943,0.00025410068,0.0001999477,0.0005662239,0.0008493784,0.00037707077,0.003322166],"category_scores_gemma":[0.00034281006,0.00014458541,0.0002897832,0.00018584031,0.00026852815,0.00036731156,0.0002655296,0.00030886207,0.00033442842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001463613,0.00009669796,0.0005951383,0.00030544776,0.00005165661,0.00020452515,0.00015833415,0.61884457,0.2241465,0.035453334,0.0018051924,0.11819217],"study_design_scores_gemma":[0.000011459738,0.000120203185,0.0001877541,0.000007173852,0.000007917909,0.000032235526,0.000007333344,0.98863643,0.00776048,0.0017261857,0.0014979672,0.0000048499064],"about_ca_topic_score_codex":0.0009931684,"about_ca_topic_score_gemma":0.0010035575,"teacher_disagreement_score":0.003322166,"about_ca_system_score_codex":0.00045052124,"about_ca_system_score_gemma":0.00031791438,"threshold_uncertainty_score":0.011113703},"labels":[],"label_agreement":null},{"id":"W2787150389","doi":"10.1109/epec.2017.8286143","title":"An energy management approach for electric vehicle fast charging station","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Electrification; Charging station; State of charge; Photovoltaic system; Electric vehicle; Computer science; Scheduling (production processes); Energy management; Flexibility (engineering); Automotive engineering; Battery (electricity); Real-time computing; Engineering; Electrical engineering; Energy (signal processing); Electricity; Operations management; Power (physics)","score_opus":0.01956204853498857,"score_gpt":0.2787073898028657,"score_spread":0.25914534126787714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787150389","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044621896,0.0007563133,0.91669726,0.0006853792,0.00009280824,0.00019442118,0.000099258395,0.00023298169,0.03661966],"genre_scores_gemma":[0.9442385,0.00048573568,0.041483115,0.00007388123,0.000045378038,0.00011632752,0.000059608505,0.000022649274,0.013474953],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998404,0.000032727563,0.000006810996,0.000030574003,0.000055871555,0.000033585635],"domain_scores_gemma":[0.99992657,0.000018686706,0.000010541317,0.0000036585166,0.00003298731,0.0000075450293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002769542,0.0005621114,0.00035261485,0.0004499661,0.000738771,0.0012149845,0.00081626506,0.00071063515,0.0034439887],"category_scores_gemma":[0.00028028176,0.00022945068,0.000466713,0.00044763085,0.00027068786,0.0005842714,0.000556241,0.00045182568,0.0002895192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004102145,0.000066030945,0.00063964276,0.000088158755,0.00002456729,0.00028968265,0.00013519551,0.8872126,0.0067293234,0.03765366,0.0018062586,0.06531399],"study_design_scores_gemma":[0.0000051329107,0.00004078862,0.00023215788,0.000005749043,0.000007992366,0.000030013405,0.00007340635,0.9930119,0.00047272575,0.0038555844,0.0022573601,0.0000071507948],"about_ca_topic_score_codex":0.01994269,"about_ca_topic_score_gemma":0.021364694,"teacher_disagreement_score":0.01994269,"about_ca_system_score_codex":0.0013274165,"about_ca_system_score_gemma":0.0013133617,"threshold_uncertainty_score":0.03965324},"labels":[],"label_agreement":null},{"id":"W2787779568","doi":"10.1149/ma2018-01/41/2391","title":"Effect of Pretreatment on Carbon Materials","year":2018,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Surface modification; Carbon fibers; Materials science; Nanotechnology; Chemical engineering; Raman spectroscopy; Composite material","score_opus":0.010613382937961014,"score_gpt":0.2718887349721592,"score_spread":0.2612753520341982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787779568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98882806,0.003664366,0.0022561548,0.0001875671,0.00022634669,0.00011729873,0.00065812655,0.00014647513,0.0039156596],"genre_scores_gemma":[0.98739666,0.0024374418,0.0053813527,0.00017378731,0.000033440145,0.00006551872,0.00093883206,0.0001089407,0.0034641365],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996952,0.000039626415,0.00003705714,0.00010192489,0.000060570816,0.00006570399],"domain_scores_gemma":[0.9992823,0.00031511424,0.00012974486,0.00007578365,0.0001555414,0.00004156984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023528517,0.0006557504,0.00033671616,0.00026975342,0.0002661067,0.00038186865,0.00035785296,0.0005441305,0.004504029],"category_scores_gemma":[0.0010284514,0.00023720585,0.00029400142,0.00035856807,0.00020266321,0.0004458047,0.00015552908,0.00051067467,0.0006818417],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035929016,0.00008048816,0.0003928336,0.0002664747,0.000019776026,0.00011827677,0.000056083732,0.00025008144,0.9935741,0.0000577931,0.00010816951,0.004716751],"study_design_scores_gemma":[0.0000053009435,0.00044293999,0.0024226836,0.000013724971,0.000027193177,0.00005757789,0.00003703213,0.00022729798,0.99473554,0.00001955314,0.0020045121,0.0000066515104],"about_ca_topic_score_codex":0.0013555391,"about_ca_topic_score_gemma":0.002241959,"teacher_disagreement_score":0.004504029,"about_ca_system_score_codex":0.00026439433,"about_ca_system_score_gemma":0.00031842975,"threshold_uncertainty_score":0.015067458},"labels":[],"label_agreement":null},{"id":"W2790382046","doi":"10.1149/2.0841802jes","title":"Explicit Conversion between Different Equivalent Circuit Models for Electrochemical Impedance Analysis of Lithium-Ion Cells","year":2018,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Equivalent circuit; Electronic circuit; Electrical impedance; Dielectric spectroscopy; Resistor; Electronic engineering; Constant phase element; High impedance; RC circuit; Capacitor; Computer science; Electrical engineering; Materials science; Chemistry; Electrochemistry; Voltage; Engineering; Electrode; Physical chemistry","score_opus":0.02392837175203391,"score_gpt":0.2711787231653184,"score_spread":0.24725035141328447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790382046","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00474358,0.00040176426,0.9853065,0.00013273067,0.00009728627,0.000035892743,0.00009001139,0.00069528853,0.008496949],"genre_scores_gemma":[0.37281385,0.0031052066,0.59687394,0.00055046804,0.00013281862,0.0003444015,0.00052633305,0.0008622092,0.02479082],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952435,0.000084722924,0.000041663665,0.000060461785,0.0002573379,0.00003140215],"domain_scores_gemma":[0.99936455,0.00035241878,0.000051985964,0.00010583736,0.00011471162,0.000010569992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006410259,0.0007565586,0.00041860808,0.0008181152,0.00035433704,0.0016429541,0.0017325033,0.0010246197,0.0059789415],"category_scores_gemma":[0.0038763776,0.0003423716,0.0007148736,0.00067153055,0.0004978912,0.003061204,0.00083622383,0.0019010901,0.001593372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007835188,0.0001793636,0.0006717424,0.0006423457,0.000049184542,0.00064249116,0.0007350924,0.14271656,0.059281386,0.6053093,0.0046824925,0.18501154],"study_design_scores_gemma":[0.00002499221,0.000086624386,0.00044251233,0.00018367087,0.0000573781,0.0007124298,0.00013471421,0.7096044,0.034245405,0.19852756,0.05590918,0.00007110105],"about_ca_topic_score_codex":0.0006456345,"about_ca_topic_score_gemma":0.0010743452,"teacher_disagreement_score":0.0059789415,"about_ca_system_score_codex":0.00066052773,"about_ca_system_score_gemma":0.00041478482,"threshold_uncertainty_score":0.02000153},"labels":[],"label_agreement":null},{"id":"W2790810539","doi":"10.1007/s10800-018-1179-1","title":"Effect of the design parameters on mass transfer and energy consumption inside a lithium electrolysis cell","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Electrochemistry","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université de Sherbrooke","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Anode; Diaphragm (acoustics); Mechanics; Cathode; Laminar flow; Materials science; Mass transfer; Chemistry; Turbulence kinetic energy; Current density; Electrolyte; Turbulence; Thermodynamics; Electrode; Physics","score_opus":0.006179533539233964,"score_gpt":0.21555482178288532,"score_spread":0.20937528824365137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790810539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961743,0.00039973704,0.002121407,0.000076639066,0.000034928402,0.000014163828,0.00008953848,0.000106840445,0.0009825203],"genre_scores_gemma":[0.99906,0.0000676844,0.00039485065,0.000012683475,0.00000492893,0.000006587478,0.000029687091,0.000019159057,0.0004044445],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996667,0.00006388792,0.000041224408,0.00007970188,0.00008992774,0.000058579015],"domain_scores_gemma":[0.99873763,0.0006185204,0.00025097097,0.000106073196,0.00024193026,0.000044836244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037869567,0.00043561688,0.0005453681,0.00024509078,0.00041617875,0.00091811526,0.00064123084,0.0007159045,0.0015488585],"category_scores_gemma":[0.0013900256,0.00041192744,0.00025428267,0.00027150876,0.00037282798,0.00088572473,0.0002763926,0.00043748098,0.00039805006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038884995,0.00025684052,0.003771067,0.00045584436,0.00008352374,0.00042342508,0.0002601567,0.017582184,0.9582231,0.00025595582,0.0005114991,0.014287934],"study_design_scores_gemma":[0.00006973518,0.0012444053,0.005193324,0.000016757684,0.00013023602,0.00013294838,0.00012820846,0.015441135,0.9763703,0.0000664881,0.0011731866,0.00003336645],"about_ca_topic_score_codex":0.0005247909,"about_ca_topic_score_gemma":0.00092924415,"teacher_disagreement_score":0.0015488585,"about_ca_system_score_codex":0.00057737366,"about_ca_system_score_gemma":0.0002651835,"threshold_uncertainty_score":0.005181432},"labels":[],"label_agreement":null},{"id":"W2790820685","doi":"10.1016/j.applthermaleng.2018.03.024","title":"Experimental investigation of a novel hybrid cooling method for lithium-ion batteries","year":2018,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coolant; Air cooling; Duct (anatomy); Materials science; Evaporative cooler; Nuclear engineering; Water cooling; Battery pack; Active cooling; Battery (electricity); Airflow; Thermodynamics; Mechanics; Mechanical engineering; Power (physics); Engineering","score_opus":0.022314626391062027,"score_gpt":0.27455778801796815,"score_spread":0.25224316162690613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790820685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833581,0.0003640068,0.012316499,0.000070674905,0.00007683257,0.00013502061,0.00023711371,0.00015351054,0.003288253],"genre_scores_gemma":[0.9847845,0.00022868115,0.011314014,0.000016889435,0.000024163252,0.00019142154,0.00013807419,0.000069045745,0.003233157],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999762,0.00002342822,0.000012341896,0.00006601534,0.00010040012,0.000035761437],"domain_scores_gemma":[0.99975044,0.00005865436,0.000036003952,0.000055218035,0.000083389146,0.000016313128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044332052,0.000408724,0.00037398795,0.00027859854,0.0005952411,0.00040849633,0.0008463262,0.00040065616,0.0046707257],"category_scores_gemma":[0.000559593,0.00025657675,0.00018682548,0.00027751958,0.0004946098,0.00087248685,0.00045536147,0.00037406778,0.00047700235],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028186568,0.00010724362,0.000315282,0.00019767736,0.000008837261,0.000045726563,0.00010694213,0.0004015349,0.99339783,0.000496701,0.0002113381,0.004429043],"study_design_scores_gemma":[0.000056816705,0.0006195816,0.001384712,0.000008837339,0.000016958753,0.00008686181,0.000053595624,0.0040541226,0.9895243,0.0000708842,0.004104058,0.000019169394],"about_ca_topic_score_codex":0.0003842983,"about_ca_topic_score_gemma":0.00057640375,"teacher_disagreement_score":0.0046707257,"about_ca_system_score_codex":0.00029739115,"about_ca_system_score_gemma":0.00030928667,"threshold_uncertainty_score":0.015625179},"labels":[],"label_agreement":null},{"id":"W2793709300","doi":"10.1007/s42154-018-0008-x","title":"Design of a Regenerative Auxiliary Power System for Service Vehicles","year":2018,"lang":"en","type":"article","venue":"Automotive Innovation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Astellas Pharma US","keywords":"Power (physics); Service (business); Automotive engineering; Regenerative brake; Computer science; Systems engineering; Engineering; Business; Physics; Marketing","score_opus":0.037880477473314626,"score_gpt":0.2892159111649683,"score_spread":0.2513354336916537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793709300","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053447835,0.00033203958,0.9265787,0.00025765406,0.00010822784,0.00035162532,0.00012212305,0.0015325062,0.017269278],"genre_scores_gemma":[0.9434399,0.00016596029,0.04869447,0.00008083447,0.00006303595,0.00023899901,0.000091890295,0.000065652064,0.007159308],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998605,0.000021991893,0.000007667742,0.0000399269,0.000047207857,0.00002268326],"domain_scores_gemma":[0.99988174,0.000019022329,0.000015875135,0.000008199845,0.000063591375,0.000011488996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018697677,0.0004260192,0.00050692866,0.00035065613,0.00088448956,0.0008289591,0.0011341976,0.0005971555,0.005051095],"category_scores_gemma":[0.00019100447,0.00024733707,0.00034308046,0.00021190454,0.00027147718,0.00041002588,0.00040848332,0.00032972117,0.0011389977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001085793,0.00023607131,0.002034842,0.0011770333,0.0001807517,0.0005438987,0.00058127707,0.23337683,0.46935797,0.034664948,0.0060863337,0.2506742],"study_design_scores_gemma":[0.00019618345,0.001340241,0.0016388748,0.0000607963,0.00015233578,0.00038136664,0.00014020319,0.8985902,0.06411276,0.0047400333,0.028601348,0.000045680295],"about_ca_topic_score_codex":0.001932373,"about_ca_topic_score_gemma":0.0023312932,"teacher_disagreement_score":0.005051095,"about_ca_system_score_codex":0.0005624608,"about_ca_system_score_gemma":0.0009902159,"threshold_uncertainty_score":0.016897619},"labels":[],"label_agreement":null},{"id":"W2794381681","doi":"10.1149/2.0861802jes","title":"A New Method for Determining the Concentration of Electrolyte Components in Lithium-Ion Cells, Using Fourier Transform Infrared Spectroscopy and Machine Learning","year":2018,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fourier transform infrared spectroscopy; Electrolyte; Chemistry; Lithium (medication); Analytical Chemistry (journal); Inductively coupled plasma; Ion chromatography; Solvent; Ion; Infrared spectroscopy; Infrared; Chromatography; Electrode; Chemical engineering; Plasma; Organic chemistry","score_opus":0.01994996165567579,"score_gpt":0.29222631695982954,"score_spread":0.2722763553041537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794381681","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01612643,0.009419282,0.9666571,0.00048181432,0.00096626935,0.00019362669,0.00058575516,0.001983212,0.0035865381],"genre_scores_gemma":[0.07796845,0.007790245,0.90226215,0.00056587474,0.0003615064,0.00043598158,0.0006219424,0.0001705348,0.009823386],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983871,0.00012367989,0.00009031354,0.00025047697,0.0011036,0.000044728957],"domain_scores_gemma":[0.9992712,0.00024045588,0.00011594322,0.00007530782,0.0002689141,0.000028204287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011145964,0.0009611084,0.0007204435,0.002140245,0.0004948883,0.0008112399,0.001265804,0.0013209909,0.0016456578],"category_scores_gemma":[0.0014414664,0.0005410296,0.0006597863,0.0008951371,0.0006366919,0.0021798376,0.00070333236,0.0015626602,0.0011931532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082268765,0.00010383079,0.0012067748,0.0008140369,0.00006766863,0.0001941293,0.0000859734,0.0009061055,0.75407445,0.0034571039,0.0028124996,0.23619515],"study_design_scores_gemma":[0.000040573366,0.0004969479,0.003003157,0.000103327686,0.00009389431,0.0026472807,0.000059402904,0.031416785,0.8869345,0.0029003173,0.07212231,0.00018142912],"about_ca_topic_score_codex":0.0005268134,"about_ca_topic_score_gemma":0.0012566964,"teacher_disagreement_score":0.002140245,"about_ca_system_score_codex":0.0006543379,"about_ca_system_score_gemma":0.0006142322,"threshold_uncertainty_score":0.0058946013},"labels":[],"label_agreement":null},{"id":"W2794971681","doi":"10.1109/tste.2018.2820696","title":"Assessment and Enhancement Frameworks for System Reliability Performance Using Different PEV Charging Models","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Sustainable Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Majmaah University","keywords":"Reliability (semiconductor); Reliability engineering; Computer science; Monte Carlo method; Electric vehicle; Engineering; Power (physics); Mathematics","score_opus":0.016581389151803846,"score_gpt":0.2750390337356367,"score_spread":0.25845764458383286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794971681","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008868622,0.00028769043,0.9875545,0.00011016628,0.000019264908,0.00006988811,0.000059771006,0.00033758106,0.0026924491],"genre_scores_gemma":[0.8085638,0.00088190916,0.18718316,0.000069159716,0.00010482638,0.00042685648,0.0002685724,0.00026150336,0.002240054],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99692935,0.0011641914,0.00014475631,0.00031178692,0.0011941589,0.00025579255],"domain_scores_gemma":[0.9957229,0.002146887,0.000569479,0.00046127607,0.0010049564,0.00009445347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005052617,0.0021931275,0.0011317175,0.002722901,0.00049297395,0.0014958946,0.0022458257,0.0011092817,0.0020912774],"category_scores_gemma":[0.012310645,0.00057425525,0.0014955442,0.001009285,0.0010351653,0.0024895486,0.0016933123,0.0013795845,0.000329713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013121169,0.000022717448,0.00038553734,0.00004083303,0.000021891141,0.000029241333,0.000047205922,0.96316725,0.0006063714,0.020858375,0.0003061858,0.014501246],"study_design_scores_gemma":[0.000002394948,0.000048541104,0.0002519782,0.00001760208,0.000011283652,0.00003913099,0.00001849008,0.99141884,0.00038489935,0.007240899,0.0005537782,0.000012074553],"about_ca_topic_score_codex":0.003386476,"about_ca_topic_score_gemma":0.0022670135,"teacher_disagreement_score":0.005052617,"about_ca_system_score_codex":0.001649549,"about_ca_system_score_gemma":0.0013616611,"threshold_uncertainty_score":0.02672106},"labels":[],"label_agreement":null},{"id":"W2795705491","doi":"10.11159/awspt18.114","title":"The Factors Affecting the Performance of the FO-RO Hybrid System","year":2018,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.005018778533242179,"score_gpt":0.18861257647037652,"score_spread":0.18359379793713435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795705491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996329,0.00043859254,0.002616417,0.000035824454,0.000014121786,0.000013151458,0.000098131066,0.000091519694,0.00036314473],"genre_scores_gemma":[0.9967272,0.00025561271,0.0020479185,0.000023560262,0.000006455524,0.000020493497,0.00014002786,0.000013750956,0.0007649164],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997595,0.000024652125,0.000027217708,0.000053291413,0.0000785761,0.00005688498],"domain_scores_gemma":[0.9997613,0.000073156225,0.000037791142,0.000020368698,0.000084768064,0.000022699078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033323653,0.00026820373,0.0004937537,0.00026531046,0.00021957599,0.0005939668,0.00034878292,0.0005471339,0.00072699314],"category_scores_gemma":[0.0005621893,0.00013995706,0.00026605572,0.00020731897,0.00013437682,0.0005229563,0.0002883144,0.00028421025,0.0004159509],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012899484,0.00002456028,0.00041272404,0.000052827058,0.000012562445,0.000035588313,0.000020636082,0.00051244145,0.9961345,0.000037434565,0.000034539855,0.0025931972],"study_design_scores_gemma":[0.000004053405,0.00022470822,0.0018248963,0.0000032753646,0.000018738645,0.000061890656,0.000026201431,0.003797405,0.9932115,0.000015481002,0.0008016063,0.000010176683],"about_ca_topic_score_codex":0.0008137441,"about_ca_topic_score_gemma":0.00095501967,"teacher_disagreement_score":0.0008137441,"about_ca_system_score_codex":0.00020255097,"about_ca_system_score_gemma":0.00014732903,"threshold_uncertainty_score":0.0024320483},"labels":[],"label_agreement":null},{"id":"W2795731132","doi":"10.1109/vppc.2017.8330872","title":"Online Supercapacitors Diagnosis for Electric Buses Technologies","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Supercapacitor; Computer science; Observer (physics); Nonlinear system; Electrical impedance; Engineering; Capacitance; Electrical engineering","score_opus":0.03694827136517358,"score_gpt":0.3064984882635105,"score_spread":0.2695502168983369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795731132","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03661476,0.00053372025,0.956959,0.00015035218,0.00010685547,0.00005920291,0.000063648666,0.0014781515,0.0040342878],"genre_scores_gemma":[0.97487533,0.00025411852,0.021885524,0.00003775604,0.000026294469,0.000045185563,0.00006983229,0.000027593025,0.002778395],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997532,0.00003765546,0.000014811754,0.0000611118,0.00011169645,0.000021560967],"domain_scores_gemma":[0.9997131,0.00007551499,0.000057355603,0.000045247136,0.000096116426,0.000012608405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020450536,0.0005711978,0.00042616946,0.00032102063,0.0002585881,0.00060379197,0.0006568297,0.00043594008,0.0016020584],"category_scores_gemma":[0.00068910077,0.00017198152,0.00027930224,0.00015213904,0.00028574697,0.00082176796,0.00054852315,0.0006054519,0.00032334306],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064515416,0.00020911859,0.0046904176,0.00059711153,0.000070065325,0.0004370024,0.00043468658,0.3536359,0.11756507,0.017359128,0.0034337596,0.5009226],"study_design_scores_gemma":[0.000014635801,0.00012755065,0.0010777379,0.000018315788,0.000017989694,0.00007463998,0.00003796104,0.97266227,0.02023408,0.00288688,0.0028334034,0.000014598108],"about_ca_topic_score_codex":0.0026772895,"about_ca_topic_score_gemma":0.0028232692,"teacher_disagreement_score":0.0026772895,"about_ca_system_score_codex":0.00046568314,"about_ca_system_score_gemma":0.00044460132,"threshold_uncertainty_score":0.0053594112},"labels":[],"label_agreement":null},{"id":"W2795872074","doi":"10.4271/2018-01-0432","title":"Efficient Electro-Thermal Model for Lithium Iron Phosphate Batteries","year":2018,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Lithium iron phosphate; Lithium (medication); Thermal; Materials science; Phosphate; Computer science; Chemistry; Electrode; Physics; Thermodynamics; Electrochemistry","score_opus":0.013838861710602696,"score_gpt":0.26219409528463833,"score_spread":0.24835523357403563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795872074","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12996767,0.0039598546,0.6791108,0.0010121003,0.00038384157,0.00024732854,0.0006976099,0.0005341777,0.18408658],"genre_scores_gemma":[0.91403633,0.0012226746,0.012862992,0.00011260435,0.000052257572,0.00012363795,0.00023068758,0.00011801992,0.07124076],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999318,0.000011174075,0.0000025518493,0.000008090232,0.000037656908,0.000008775995],"domain_scores_gemma":[0.9999596,0.000015203338,0.0000028275965,0.000005108152,0.000014832568,0.0000024912365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000113749404,0.00048451204,0.00045629306,0.0002840997,0.0003564539,0.0006574152,0.0012004622,0.0006236126,0.005385247],"category_scores_gemma":[0.00028888255,0.00019462135,0.0004204337,0.00027487628,0.00038015857,0.00096179324,0.0003970465,0.00053120835,0.0009538647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016197561,0.00013382877,0.00032425742,0.0004295278,0.000029807035,0.00046786093,0.00017098869,0.82221353,0.04310988,0.1079544,0.0023084146,0.022695558],"study_design_scores_gemma":[0.0000097703305,0.000027475568,0.00011424323,0.000009497711,0.000006919604,0.000057182413,0.000025879479,0.9834728,0.0037755356,0.0098632425,0.0026307073,0.000006777514],"about_ca_topic_score_codex":0.0023689982,"about_ca_topic_score_gemma":0.003821578,"teacher_disagreement_score":0.005385247,"about_ca_system_score_codex":0.00048421748,"about_ca_system_score_gemma":0.00040245973,"threshold_uncertainty_score":0.018015444},"labels":[],"label_agreement":null},{"id":"W2795933467","doi":"10.4271/2018-01-0441","title":"Degradation Testing and Modeling of 200 Ah LiFePO&lt;sub&gt;4&lt;/sub&gt; Battery","year":2018,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Degradation (telecommunications); Battery (electricity); Computer science; Reliability engineering; Engineering; Power (physics); Thermodynamics; Physics; Telecommunications","score_opus":0.026999317758257185,"score_gpt":0.2633299450472791,"score_spread":0.2363306272890219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795933467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8786653,0.001119289,0.1019851,0.00029199955,0.000066834866,0.0002056108,0.0027269053,0.0018391827,0.013099842],"genre_scores_gemma":[0.99250716,0.00026289927,0.002823466,0.000022623566,0.0000042595993,0.0000861792,0.00040181316,0.000039085284,0.0038525462],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977213,0.000017721684,0.000015814961,0.000041342268,0.00012441957,0.00002855168],"domain_scores_gemma":[0.99981815,0.0000405326,0.000021313637,0.000026445032,0.00008658019,0.0000070231986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026601387,0.00038295175,0.00041386375,0.0004118275,0.00021454133,0.00043248347,0.0007584763,0.0005456351,0.0016606317],"category_scores_gemma":[0.00043968533,0.00015354893,0.00046996126,0.0003452565,0.00021761497,0.0005517532,0.00018441811,0.00033181376,0.000633279],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039139792,0.00016884347,0.0072548348,0.00048047543,0.00006495016,0.00088166795,0.0005507714,0.75914466,0.17073642,0.0016334793,0.0034731547,0.055219438],"study_design_scores_gemma":[0.000009582488,0.00028913096,0.0033938498,0.000015560116,0.000017014912,0.0001789532,0.00007292939,0.93441594,0.058996674,0.00038877796,0.0021999637,0.000021598691],"about_ca_topic_score_codex":0.004801823,"about_ca_topic_score_gemma":0.0032779127,"teacher_disagreement_score":0.004801823,"about_ca_system_score_codex":0.0008025305,"about_ca_system_score_gemma":0.00038671575,"threshold_uncertainty_score":0.00954771},"labels":[],"label_agreement":null},{"id":"W2795941810","doi":"10.1149/2.0861805jes","title":"Methyl Acetate as a Co-Solvent in NMC532/Graphite Cells","year":2018,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrolyte; Methyl acetate; Solvent; Coulometry; Electrochemistry; Dielectric spectroscopy; Chemistry; Isothermal microcalorimetry; Electrochemical cell; Isothermal process; Battery (electricity); Lithium (medication); Inorganic chemistry; Materials science; Chemical engineering; Organic chemistry; Electrode; Catalysis; Physical chemistry; Thermodynamics; Physics","score_opus":0.008956563590798682,"score_gpt":0.2731326442721154,"score_spread":0.26417608068131676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795941810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922665,0.0027128241,0.0013305359,0.00013920684,0.00006321983,0.00002313631,0.00038200806,0.00007753452,0.0030050946],"genre_scores_gemma":[0.9957307,0.0009949475,0.0019113222,0.000038771843,0.000010609887,0.00001443491,0.00015166766,0.000015105296,0.0011323962],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99967885,0.000056958776,0.000023183175,0.000055115437,0.00014106107,0.000044739187],"domain_scores_gemma":[0.99988675,0.000032129978,0.000016729202,0.000012559765,0.000036433943,0.000015378891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002707888,0.00027043765,0.00045182978,0.0003446016,0.00038767915,0.0005590572,0.0004027424,0.00038650457,0.0008329021],"category_scores_gemma":[0.0003855132,0.00013560997,0.00023249855,0.00071302644,0.00017297138,0.0004185277,0.00029018213,0.00031313216,0.0002904617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005367656,0.00006428836,0.0012015941,0.00034815798,0.00001520252,0.00050484797,0.00006626056,0.0019131157,0.98402077,0.00026098266,0.00033928157,0.01072864],"study_design_scores_gemma":[0.000010655238,0.00024295402,0.0016008684,0.000020700878,0.000013698753,0.00011431789,0.000060186343,0.0038883525,0.9915787,0.000059940838,0.0023993307,0.000010364114],"about_ca_topic_score_codex":0.0027453236,"about_ca_topic_score_gemma":0.007013393,"teacher_disagreement_score":0.0027453236,"about_ca_system_score_codex":0.00046336598,"about_ca_system_score_gemma":0.0002450653,"threshold_uncertainty_score":0.0054587126},"labels":[],"label_agreement":null},{"id":"W2796884273","doi":"10.3390/batteries4020019","title":"Real-Time Implementation of an Extended Kalman Filter and a PI Observer for State Estimation of Rechargeable Li-Ion Batteries in Hybrid Electric Vehicle Applications—A Case Study","year":2018,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"John Abbott College; Concordia University","funders":"","keywords":"State of charge; Estimator; Kalman filter; Computer science; Control theory (sociology); Observer (physics); Robustness (evolution); Battery (electricity); MATLAB; Mean squared error; Electric vehicle; Mathematics; Control (management); Statistics; Power (physics); Artificial intelligence; Physics","score_opus":0.025035591094418507,"score_gpt":0.3209254198686357,"score_spread":0.2958898287742172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796884273","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032393612,0.0002387908,0.96304643,0.00010117115,0.00007395419,0.00009094665,0.000020827534,0.0012509048,0.0027834726],"genre_scores_gemma":[0.91231054,0.00019113375,0.083848715,0.000034299126,0.000018169474,0.0001460502,0.000043385702,0.000025134204,0.0033825706],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964774,0.000075102915,0.000035504367,0.00007246296,0.00012532172,0.000043833512],"domain_scores_gemma":[0.99945503,0.00018413212,0.00006336886,0.00006169759,0.00021316478,0.000022658198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008109203,0.00055285165,0.00046146527,0.00024409151,0.0002827753,0.00062141416,0.00078010245,0.00081942364,0.0019273362],"category_scores_gemma":[0.0016239523,0.00023404877,0.00037506028,0.00015058219,0.00026968247,0.0005724314,0.00048003957,0.0006161832,0.00046831623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007984815,0.00026209682,0.0033540041,0.0005786158,0.00012525827,0.0006473171,0.00057029974,0.58447284,0.055957273,0.0083566625,0.0012913529,0.3435858],"study_design_scores_gemma":[0.000036405847,0.00027925038,0.0006174347,0.000016937543,0.000032200503,0.000064524786,0.000032257914,0.981965,0.014478796,0.0004067729,0.0020560557,0.000014328103],"about_ca_topic_score_codex":0.0041980636,"about_ca_topic_score_gemma":0.0030282408,"teacher_disagreement_score":0.0041980636,"about_ca_system_score_codex":0.00037721693,"about_ca_system_score_gemma":0.00071490434,"threshold_uncertainty_score":0.008347273},"labels":[],"label_agreement":null},{"id":"W2797174675","doi":"10.1049/iet-est.2018.0003","title":"Model‐based optimal parameter identification incorporating C‐rate, state of charge and temperature effect for advance battery management system in electric vehicles","year":2018,"lang":"en","type":"article","venue":"IET Electrical Systems in Transportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Battery (electricity); State of charge; Parametric statistics; Heuristic; Wilcoxon signed-rank test; Engineering; Battery pack; Polynomial; Computation; Convergence (economics); Automotive engineering; Mathematical optimization; Computer science; Algorithm; Mathematics; Power (physics); Statistics","score_opus":0.008700034499535884,"score_gpt":0.24810765082496403,"score_spread":0.23940761632542815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797174675","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16333833,0.0013213714,0.82447153,0.0002525229,0.000044304088,0.000105436804,0.00010009697,0.0005635303,0.0098028835],"genre_scores_gemma":[0.977666,0.00026937644,0.020534229,0.000023443064,0.0000065241675,0.00007661517,0.000074604075,0.000026426183,0.0013227446],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998534,0.000040718565,0.000009571446,0.000027506636,0.000047588437,0.000021286965],"domain_scores_gemma":[0.9997508,0.00013888902,0.000034705135,0.000020122565,0.00004892081,0.0000066496928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052973843,0.00059410266,0.00080915034,0.00042302857,0.00035807837,0.0009414168,0.00046150864,0.000741977,0.0009370807],"category_scores_gemma":[0.0010420445,0.00042974562,0.00073186844,0.0003723829,0.00033263917,0.0006999559,0.00048891694,0.00064676494,0.00019946079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003114568,0.000024830812,0.00024327062,0.00005841976,0.000014894317,0.00002171726,0.000030787895,0.98163027,0.0025435882,0.0005493786,0.00013458043,0.014717068],"study_design_scores_gemma":[0.0000040946375,0.00003609453,0.00023769944,0.000006431726,0.0000082026445,0.0000087913195,0.000012111236,0.99800116,0.0011096231,0.0003604807,0.00020958726,0.000005682456],"about_ca_topic_score_codex":0.0062073395,"about_ca_topic_score_gemma":0.0054458003,"teacher_disagreement_score":0.0062073395,"about_ca_system_score_codex":0.00044694508,"about_ca_system_score_gemma":0.000870659,"threshold_uncertainty_score":0.012342453},"labels":[],"label_agreement":null},{"id":"W2797656919","doi":"10.1109/itec-india.2017.8333889","title":"Estimation of model parameters and state-of-charge for battery management system of Li-ion battery in EVs","year":2017,"lang":"en","type":"article","venue":"2017 IEEE Transportation Electrification Conference (ITEC-India)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"State of charge; Battery (electricity); Extended Kalman filter; Estimator; Mean squared error; Kalman filter; Control theory (sociology); Voltage; Computer science; Schedule; Automotive engineering; Engineering; Mathematics; Electrical engineering; Statistics; Power (physics); Control (management); Artificial intelligence","score_opus":0.04236764197495717,"score_gpt":0.29168431267756195,"score_spread":0.24931667070260477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797656919","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34489736,0.00096241734,0.64519876,0.00025381905,0.00008632304,0.00008714572,0.00043771026,0.001468496,0.0066078706],"genre_scores_gemma":[0.99105096,0.00021592085,0.00744481,0.000016791662,0.00000575386,0.000046617362,0.00021057318,0.000016651442,0.0009919797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998908,0.000015756876,0.0000105842955,0.000024407589,0.00003976095,0.000018542954],"domain_scores_gemma":[0.9998841,0.000025906476,0.000017012142,0.000011045284,0.000057390476,0.000004567844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020981947,0.00050716137,0.00046717018,0.00026313897,0.00026805236,0.0006670573,0.00051695574,0.0004666743,0.0007887979],"category_scores_gemma":[0.0006324762,0.00024017617,0.00038414905,0.00022636293,0.00016701293,0.0008062188,0.0003228921,0.0005169991,0.00031341202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012908406,0.00004824191,0.008358101,0.00017301021,0.00004485282,0.0001696783,0.00013370391,0.9293004,0.011207128,0.0011640685,0.0007917156,0.048480008],"study_design_scores_gemma":[0.000005530111,0.000036304744,0.0023154232,0.000011994377,0.000012954896,0.000029812989,0.00003636261,0.9930039,0.0035190051,0.0005237003,0.0004933226,0.000011664473],"about_ca_topic_score_codex":0.012783837,"about_ca_topic_score_gemma":0.008776296,"teacher_disagreement_score":0.012783837,"about_ca_system_score_codex":0.00038354014,"about_ca_system_score_gemma":0.0006145454,"threshold_uncertainty_score":0.025418818},"labels":[],"label_agreement":null},{"id":"W2797834127","doi":"10.1149/ma2018-01/3/454","title":"(Energy Technology Division Graduate Student Award Address sponsored by Bio-Logic) Understanding Crosstalks in Li-Ion Cells","year":2018,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Pouch; Electrode; X-ray photoelectron spectroscopy; Graphite; Electrolyte; Ion; Materials science; Analytical Chemistry (journal); Chemical engineering; Chemistry; Nanotechnology; Chromatography; Composite material; Organic chemistry; Biology; Physical chemistry","score_opus":0.04427242799227261,"score_gpt":0.3035455399469448,"score_spread":0.2592731119546722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797834127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9682768,0.004507564,0.016520534,0.0010003874,0.00008939156,0.00003199194,0.00024275127,0.00031729406,0.0090133315],"genre_scores_gemma":[0.98383486,0.0022519534,0.00551991,0.000120328776,0.000025151301,0.000020179998,0.00018970855,0.000032981057,0.0080050025],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99993765,0.0000047426865,0.0000022638383,0.00001599549,0.000026726902,0.000012669509],"domain_scores_gemma":[0.99994457,0.000016145888,0.000010401143,0.000004533093,0.000014495748,0.000009834671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012290548,0.00019409097,0.00019468371,0.00024678564,0.0002211691,0.00055831816,0.0003427805,0.0003997024,0.0029836104],"category_scores_gemma":[0.00015183874,0.00010898729,0.00009125195,0.00031195043,0.00026565648,0.0007701064,0.00031387518,0.00032940257,0.0004626049],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022789414,0.000042268053,0.0023340988,0.00012793764,0.000005452952,0.00027670423,0.00017036268,0.0015388447,0.97137904,0.0018117138,0.0005144659,0.02157116],"study_design_scores_gemma":[0.0000231851,0.0004354495,0.015829666,0.000021946504,0.000024997238,0.00072865747,0.0006018247,0.024811376,0.9418489,0.0040009026,0.011647168,0.000025999809],"about_ca_topic_score_codex":0.00031491136,"about_ca_topic_score_gemma":0.00053786614,"teacher_disagreement_score":0.0029836104,"about_ca_system_score_codex":0.00038169743,"about_ca_system_score_gemma":0.00015311848,"threshold_uncertainty_score":0.009981155},"labels":[],"label_agreement":null},{"id":"W2798622734","doi":"10.1109/ieses.2018.8349843","title":"A novel solution for effective utilization of UC stored energy in battery/UC hybrid energy storage systems","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Energy storage; Battery (electricity); Capacitor; Computer science; Computer data storage; Energy density; Energy (signal processing); Supercapacitor; Power (physics); Electrical engineering; Engineering; Operating system; Voltage; Capacitance; Engineering physics","score_opus":0.02300031689508146,"score_gpt":0.2680588948743545,"score_spread":0.24505857797927305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2798622734","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08049735,0.005168643,0.8748107,0.0012150459,0.00062747556,0.00018060407,0.00018383557,0.001860661,0.035455696],"genre_scores_gemma":[0.8630169,0.0012191822,0.11894714,0.0002515248,0.000167625,0.00013286558,0.00011054312,0.00004920023,0.016105112],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999087,0.00001165342,0.000009827361,0.000020232357,0.000035670724,0.000014010735],"domain_scores_gemma":[0.99994254,0.000007698868,0.0000068165855,0.000010500469,0.000026738096,0.00000576214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000084769235,0.00028706476,0.0003281432,0.00024842945,0.0004257748,0.0005699277,0.00072060246,0.00053503976,0.0027455792],"category_scores_gemma":[0.000158604,0.000119808035,0.00019297676,0.00028977767,0.00017838606,0.0008431693,0.0005694366,0.00037754126,0.0005479222],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040534325,0.00019388078,0.00073582854,0.00090179546,0.000085541564,0.00094352145,0.00029060384,0.0376147,0.38605767,0.08804322,0.01197708,0.47275072],"study_design_scores_gemma":[0.000104744446,0.0007147567,0.000882441,0.000124181,0.00009031095,0.0022005257,0.00023485957,0.6234836,0.25126243,0.021177849,0.09964557,0.00007877737],"about_ca_topic_score_codex":0.00025706965,"about_ca_topic_score_gemma":0.0003767316,"teacher_disagreement_score":0.0027455792,"about_ca_system_score_codex":0.00019236318,"about_ca_system_score_gemma":0.00017539569,"threshold_uncertainty_score":0.009184837},"labels":[],"label_agreement":null},{"id":"W2798923579","doi":"10.1109/apec.2018.8341207","title":"A single-stage bi-directional AC-DC converter with no electrolytic capacitor for EV","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Electrolytic capacitor; Ripple; Capacitor; Battery (electricity); Controller (irrigation); Electrical engineering; Reliability (semiconductor); Boost converter; Power (physics); Computer science; Electronic engineering; Voltage; Engineering; Physics","score_opus":0.019417424264428378,"score_gpt":0.25061450794222234,"score_spread":0.23119708367779396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2798923579","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13336873,0.005059275,0.82705206,0.00035365115,0.00074106443,0.00037008655,0.00038531353,0.0027043982,0.029965386],"genre_scores_gemma":[0.90598655,0.0014386362,0.07335223,0.00014433975,0.000093404415,0.00012959202,0.00026843822,0.00006159476,0.018525241],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998523,0.000010413304,0.000009590971,0.00003918555,0.00007373783,0.000014735953],"domain_scores_gemma":[0.9999211,0.000007915182,0.000006718931,0.000009264188,0.000047794467,0.0000072940616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011391201,0.00044636684,0.0005456952,0.0002688112,0.00043991086,0.00066730555,0.0012997783,0.00044672954,0.0039649922],"category_scores_gemma":[0.00011244942,0.00020039678,0.00034050774,0.00031059422,0.00012728713,0.00080747396,0.0002205317,0.00050189305,0.0013309898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045630042,0.000271504,0.00076747406,0.0014422185,0.00009597077,0.0005106133,0.0001033159,0.011427391,0.58024055,0.0069455463,0.005747392,0.39199173],"study_design_scores_gemma":[0.00028564938,0.0030839765,0.0053536487,0.00016882984,0.00034638666,0.0055678906,0.00018661722,0.33486235,0.55527097,0.003879896,0.090856634,0.00013719095],"about_ca_topic_score_codex":0.0005476186,"about_ca_topic_score_gemma":0.0012796066,"teacher_disagreement_score":0.0039649922,"about_ca_system_score_codex":0.00022722267,"about_ca_system_score_gemma":0.000387252,"threshold_uncertainty_score":0.013264239},"labels":[],"label_agreement":null},{"id":"W2799199816","doi":"10.1109/icit.2018.8352503","title":"A novel online energy management strategy for multi fuel cell systems","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Université du Québec à Trois-Rivières","funders":"","keywords":"Automotive engineering; Power management; Computer science; Battery (electricity); Fuel cells; Stack (abstract data type); Maximum power principle; Energy management; Power (physics); State of charge; Electricity generation; Energy (signal processing); Photovoltaic system; Engineering; Electrical engineering","score_opus":0.06038083750763258,"score_gpt":0.30794634886692773,"score_spread":0.24756551135929517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799199816","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03723968,0.00039991993,0.95363474,0.00013109412,0.00005695531,0.00010439213,0.000027530969,0.00044314493,0.007962594],"genre_scores_gemma":[0.9484663,0.00014771514,0.048066672,0.00006146166,0.00002981764,0.00010610197,0.000034404602,0.000020145075,0.0030672976],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998135,0.000026180922,0.000012509143,0.000054874403,0.00006649403,0.000026457927],"domain_scores_gemma":[0.99989045,0.00002735921,0.000025064237,0.000010325529,0.00003720952,0.000009655765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026773414,0.0007198173,0.0005135973,0.00036798048,0.0003753026,0.0007156497,0.00096911,0.00063294923,0.001991515],"category_scores_gemma":[0.00031971923,0.00017890373,0.00028914682,0.000178544,0.00024646163,0.00069680123,0.0006643906,0.00039058874,0.0003300602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020347838,0.0003001946,0.0008015655,0.00027679774,0.00005765506,0.0003913308,0.00015398528,0.618538,0.061988745,0.012108315,0.0013464454,0.30383348],"study_design_scores_gemma":[0.000012420408,0.00014598943,0.0001823892,0.000008997043,0.00001125521,0.000046203473,0.00001484634,0.99107903,0.005606799,0.0010819666,0.0018019915,0.000008045055],"about_ca_topic_score_codex":0.001264864,"about_ca_topic_score_gemma":0.0016820959,"teacher_disagreement_score":0.001991515,"about_ca_system_score_codex":0.00035930873,"about_ca_system_score_gemma":0.00035136173,"threshold_uncertainty_score":0.0066622496},"labels":[],"label_agreement":null},{"id":"W2799255768","doi":"10.1109/apec.2018.8341086","title":"A novel hybrid energy storage system using the multi-source inverter","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canada Research Chairs","keywords":"Energy storage; Battery (electricity); State of charge; Ripple; Computer science; Inverter; Converters; Duty cycle; Regenerative brake; Topology (electrical circuits); Supercapacitor; Powertrain; Automotive engineering; Electrical engineering; Power (physics); Control theory (sociology); Voltage; Torque; Engineering; Brake; Control (management); Capacitance","score_opus":0.03609255795582327,"score_gpt":0.26381930811961907,"score_spread":0.2277267501637958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799255768","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25971815,0.0020344558,0.69468164,0.00039340925,0.00039330946,0.0002164976,0.00070164766,0.0030043917,0.038856525],"genre_scores_gemma":[0.93767697,0.0004614887,0.053400725,0.00008329203,0.00006240945,0.00009966859,0.00031503977,0.000028323988,0.007872128],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999441,0.000005994613,0.0000050044464,0.000014292661,0.000025178233,0.000005463292],"domain_scores_gemma":[0.999969,0.0000059269105,0.0000043900004,0.0000057679113,0.000010522349,0.0000044363424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006256123,0.00019024363,0.00036337474,0.0001880273,0.00020370375,0.00040084234,0.0006501439,0.00027393026,0.0028396742],"category_scores_gemma":[0.000056584584,0.00009053981,0.00015597625,0.00029305945,0.00012240477,0.0006831491,0.0003150636,0.00023372832,0.0005763713],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046997386,0.00023628198,0.0021389895,0.0010585027,0.00017899039,0.0010057591,0.00019438175,0.04285388,0.49022335,0.023268888,0.0064679086,0.43190306],"study_design_scores_gemma":[0.00026229327,0.0017367927,0.00461309,0.000078142446,0.00015436803,0.0016911251,0.0001157561,0.6817254,0.19680011,0.01139387,0.10134286,0.00008617288],"about_ca_topic_score_codex":0.00016417638,"about_ca_topic_score_gemma":0.00040283415,"teacher_disagreement_score":0.0028396742,"about_ca_system_score_codex":0.00012447176,"about_ca_system_score_gemma":0.000105528045,"threshold_uncertainty_score":0.009499669},"labels":[],"label_agreement":null},{"id":"W2799474467","doi":"10.1002/adts.201800021","title":"Electrochemical–Thermal Evaluation of an Integrated Thermal Management System for Lithium‐Ion Battery Modules","year":2018,"lang":"en","type":"article","venue":"Advanced Theory and Simulations","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Ontario Trillium Foundation","keywords":"Materials science; Phase-change material; Thermal conductivity; Thermal energy storage; Lithium-ion battery; Computer cooling; Battery (electricity); Graphite; Thermal; Nuclear engineering; Pyrolytic carbon; Active cooling; Water cooling; Composite material; Chemical engineering; Thermodynamics; Mechanical engineering; Thermal management of electronic devices and systems","score_opus":0.01588025861943059,"score_gpt":0.2964047041916565,"score_spread":0.2805244455722259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799474467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99546176,0.00027287914,0.0034249374,0.000029839563,0.000024135195,0.000024829666,0.00008561682,0.000080346916,0.0005956569],"genre_scores_gemma":[0.99824667,0.00007248303,0.001190098,0.0000072014045,0.0000027188382,0.000013198667,0.000029836472,0.0000048663796,0.00043286654],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999861,0.000018960556,0.000010700022,0.000031190157,0.00006034969,0.000017833176],"domain_scores_gemma":[0.9998821,0.000019114845,0.000016640368,0.000014359867,0.000056232147,0.000011445955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024229544,0.00029252042,0.00036363947,0.00019345024,0.00025618638,0.00033956228,0.00046606816,0.0002989783,0.0011293746],"category_scores_gemma":[0.0002964971,0.00014733226,0.0002286575,0.00022848664,0.00013340118,0.00043735068,0.00017797238,0.00021451006,0.00018263755],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041343435,0.0001937059,0.00153839,0.0002059302,0.00003459505,0.000098411794,0.000083717656,0.009118285,0.97326344,0.00018157928,0.00023263182,0.0146359615],"study_design_scores_gemma":[0.000036270692,0.0014255974,0.006805745,0.000009941858,0.00004646602,0.000072012466,0.00008445012,0.105583176,0.88435566,0.00006935807,0.0014895943,0.000021720749],"about_ca_topic_score_codex":0.00073043234,"about_ca_topic_score_gemma":0.0010418384,"teacher_disagreement_score":0.0011293746,"about_ca_system_score_codex":0.0003813857,"about_ca_system_score_gemma":0.00019274102,"threshold_uncertainty_score":0.0037781596},"labels":[],"label_agreement":null},{"id":"W2801376891","doi":"","title":"Keynote: Addressing the challenge for future in low power rectification","year":2017,"lang":"en","type":"preprint","venue":"INRIA a CCSD electronic archive server","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Rectification; Computer science; Power (physics); Physics","score_opus":0.03547996950810482,"score_gpt":0.31028310434498774,"score_spread":0.2748031348368829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801376891","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022750888,0.05087254,0.03214563,0.53088593,0.18677093,0.00011101181,0.0011326417,0.0020482547,0.19375798],"genre_scores_gemma":[0.043921623,0.031604905,0.012866944,0.05531778,0.12070569,0.00017707054,0.0013618451,0.0015046081,0.7325396],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99807227,0.00036802754,0.00008627187,0.00033641112,0.00082278776,0.0003143199],"domain_scores_gemma":[0.9966478,0.0008025545,0.00009593737,0.00034213185,0.0014868634,0.0006247312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041025314,0.0013951388,0.001253273,0.0011359795,0.002555065,0.006750666,0.0017078479,0.007866232,0.13621387],"category_scores_gemma":[0.0065116966,0.00036870016,0.000887014,0.0011272185,0.0017766679,0.013627603,0.0037963723,0.008006887,0.050951082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014457127,0.000044233177,0.00011819679,0.000316165,0.000013956973,0.00012561276,0.000144194,0.0004695071,0.001555201,0.076076806,0.8579579,0.06303356],"study_design_scores_gemma":[0.000018548048,0.000050386807,0.00011722648,0.0001574003,0.000009089234,0.00015256226,0.00019987603,0.0006666649,0.00087314076,0.054469097,0.94326025,0.000025556767],"about_ca_topic_score_codex":0.0012433195,"about_ca_topic_score_gemma":0.0013578591,"teacher_disagreement_score":0.13621387,"about_ca_system_score_codex":0.00251181,"about_ca_system_score_gemma":0.0021835403,"threshold_uncertainty_score":0.4556808},"labels":[],"label_agreement":null},{"id":"W2801702757","doi":"10.1016/b978-0-12-816136-4.00024-5","title":"Power Electronic Systems and Control in Automobiles","year":2018,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Converters; Power electronics; Automotive engineering; Power (physics); Engineering; Inverter; Electronics; Traction (geology); Internal combustion engine; Electrical engineering; Control (management); Control engineering; Voltage; Computer science; Mechanical engineering","score_opus":0.007070435009930027,"score_gpt":0.22855890209602836,"score_spread":0.22148846708609835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801702757","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018466344,0.10833494,0.04982606,0.0020201595,0.0051389146,0.00005343737,0.00018302239,0.0005596171,0.83203715],"genre_scores_gemma":[0.010580891,0.04808366,0.0060158386,0.0003960842,0.0014396964,0.000036776728,0.00016632906,0.00016285024,0.9331178],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998227,0.000017724962,0.0000073256747,0.000027954722,0.00011352445,0.000010941309],"domain_scores_gemma":[0.99990296,0.000033805456,0.0000044789244,0.000013814636,0.000037769183,0.0000070847855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017346689,0.0010696433,0.00057470263,0.0010393516,0.00040874621,0.0018587249,0.0006525845,0.0009688026,0.054605722],"category_scores_gemma":[0.00035528597,0.00032976296,0.0002914648,0.0016613005,0.0005458445,0.0019311595,0.00074627355,0.0012595359,0.023758197],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001856646,0.000056040626,0.00008873991,0.0006832063,0.000015331732,0.000078878744,0.00018735534,0.003212825,0.00254132,0.10094177,0.21366887,0.67850703],"study_design_scores_gemma":[0.000003278365,0.000021267737,0.00020160724,0.00021771662,0.0000060297903,0.00010027861,0.000048255326,0.0014964757,0.0004716252,0.02740433,0.9700235,0.000005761518],"about_ca_topic_score_codex":0.0010904804,"about_ca_topic_score_gemma":0.0018536495,"teacher_disagreement_score":0.054605722,"about_ca_system_score_codex":0.00060548645,"about_ca_system_score_gemma":0.00052336673,"threshold_uncertainty_score":0.18267435},"labels":[],"label_agreement":null},{"id":"W2802521917","doi":"10.1109/tie.2018.2833038","title":"A Closed-Loop Constant-Temperature Constant-Voltage Charging Technique to Reduce Charge Time of Lithium-Ion Batteries","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":193,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Control theory (sociology); Constant current; PID controller; Voltage; Constant (computer programming); Battery (electricity); Time constant; Controller (irrigation); Electrical engineering; Computer science; Temperature control; Engineering; Physics; Control engineering; Power (physics); Thermodynamics","score_opus":0.020193425103789752,"score_gpt":0.2651359198058645,"score_spread":0.24494249470207474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802521917","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07201207,0.0019011077,0.91669416,0.00020603949,0.00030926283,0.0001324166,0.000043000695,0.0024657948,0.006236272],"genre_scores_gemma":[0.9297553,0.00044665328,0.0651069,0.00013949691,0.000065490225,0.000058581456,0.000048420334,0.00008363971,0.0042955703],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996383,0.000034270928,0.000021831178,0.00007675068,0.0001959886,0.00003279349],"domain_scores_gemma":[0.99975425,0.00004654039,0.00003105692,0.000039929968,0.000115613715,0.000012612843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002300849,0.00037186834,0.00036403193,0.00043430412,0.00043819193,0.00062079646,0.0013661875,0.00045733908,0.001251216],"category_scores_gemma":[0.0007252383,0.00016791176,0.00029540234,0.00040691392,0.0002717815,0.00089998695,0.0004906988,0.00050490064,0.0003832695],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056218903,0.00022497363,0.0010623689,0.00043547899,0.00003955524,0.00025761704,0.00030778296,0.02337749,0.37676504,0.0062831542,0.0032561184,0.5874282],"study_design_scores_gemma":[0.000087916625,0.0013037851,0.0023230684,0.000048219197,0.00007740132,0.0014995089,0.000078576806,0.43198887,0.53590566,0.002628353,0.023963405,0.000095183634],"about_ca_topic_score_codex":0.0008214031,"about_ca_topic_score_gemma":0.00087042135,"teacher_disagreement_score":0.0013661875,"about_ca_system_score_codex":0.00040752086,"about_ca_system_score_gemma":0.00041351593,"threshold_uncertainty_score":0.004185736},"labels":[],"label_agreement":null},{"id":"W2803538844","doi":"10.3390/wevj8020410","title":"Real-Time Estimator Li-ion Cells Internal Resistance for Electric Vehicle Application","year":2016,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Internal resistance; Battery (electricity); Computation; Estimator; Automotive industry; Electric vehicle; Computer science; State of charge; Assertion; Automotive engineering; Line (geometry); Algorithm; Engineering; Physics; Mathematics; Aerospace engineering","score_opus":0.006598541920330616,"score_gpt":0.24534375167618616,"score_spread":0.23874520975585556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803538844","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06499342,0.00047332462,0.92377585,0.00011260209,0.00008094977,0.00007417722,0.00024267742,0.006243445,0.004003529],"genre_scores_gemma":[0.9444794,0.00030151763,0.049951397,0.000048394286,0.0000343946,0.00010671878,0.00030756366,0.00015173727,0.0046190354],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979323,0.000040306244,0.0000097030825,0.00006409399,0.00007833185,0.0000144032465],"domain_scores_gemma":[0.99981016,0.000042203603,0.000029013776,0.000040340226,0.00007030712,0.000008044014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020053955,0.0006977943,0.00046368563,0.0004282693,0.00016635035,0.0005426342,0.00077122595,0.00037562134,0.0020607177],"category_scores_gemma":[0.0006466869,0.00020251739,0.00026534058,0.0003112891,0.00012211729,0.0006769932,0.00027425063,0.0002967584,0.001174472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005579703,0.00020405004,0.013122415,0.00057220267,0.000118846445,0.00029534745,0.00029544832,0.17678428,0.27585503,0.0036936307,0.0075481795,0.5209526],"study_design_scores_gemma":[0.000025905041,0.00022492195,0.0034178502,0.000019767147,0.00005472483,0.00019610167,0.00005129668,0.931408,0.056452688,0.00097326445,0.00714468,0.00003088853],"about_ca_topic_score_codex":0.0010636542,"about_ca_topic_score_gemma":0.0017029673,"teacher_disagreement_score":0.0020607177,"about_ca_system_score_codex":0.00027554986,"about_ca_system_score_gemma":0.00028044565,"threshold_uncertainty_score":0.006893754},"labels":[],"label_agreement":null},{"id":"W2803742018","doi":"10.3390/wevj8010249","title":"Electric Vehicles: Impacts of Mileage Accumulation and Fast Charging","year":2016,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Transport Canada; Environment and Climate Change Canada","funders":"Natural Resources Canada; Environment and Climate Change Canada; Transport Canada","keywords":"Battery (electricity); Automotive engineering; Range (aeronautics); Environmental science; Driving range; Dynamometer; Battery electric vehicle; Chassis; Engineering; Power (physics); Aerospace engineering; Physics","score_opus":0.016431424190548608,"score_gpt":0.2725458324704084,"score_spread":0.2561144082798598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803742018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99743086,0.00009523442,0.00032197763,0.000025967798,0.000008612501,0.000017330827,0.00011635484,0.000025807693,0.0019580205],"genre_scores_gemma":[0.9988631,0.00006385989,0.00018462319,0.000016269176,0.0000021408903,0.0000059315907,0.00019121215,0.0000070134524,0.0006658384],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951136,0.00004812163,0.000025412111,0.00006682212,0.00019340638,0.00015491925],"domain_scores_gemma":[0.9988716,0.00034140685,0.00018983145,0.00007123772,0.00041493934,0.00011089234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055736216,0.00054814474,0.00035469935,0.000782737,0.000736643,0.00084663625,0.00049654214,0.00057222194,0.0017538547],"category_scores_gemma":[0.0012766502,0.00020263405,0.0005615058,0.0005489521,0.00039335428,0.0010140593,0.00076314504,0.00051343476,0.00031800682],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008668946,0.0015792466,0.4041002,0.0007503746,0.00042076447,0.0044630356,0.0011749772,0.14590117,0.31992865,0.0011057012,0.0015519599,0.11035496],"study_design_scores_gemma":[0.00007286143,0.009815398,0.7743947,0.00009507464,0.00020248632,0.0015825899,0.0030652608,0.021383377,0.18431528,0.0005936184,0.0043439767,0.00013534911],"about_ca_topic_score_codex":0.0133797005,"about_ca_topic_score_gemma":0.021177892,"teacher_disagreement_score":0.0133797005,"about_ca_system_score_codex":0.0010265352,"about_ca_system_score_gemma":0.00053169107,"threshold_uncertainty_score":0.02660364},"labels":[],"label_agreement":null},{"id":"W2804682483","doi":"10.3390/wevj2020160","title":"Lithium Ion SuperPolymer® High-Performance Battery for Ultra-Safe, Long-Range ZEVs, HEVs, and PHEVs","year":2008,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Electrovaya (Canada)","funders":"","keywords":"Battery (electricity); Automotive engineering; Scalability; Computer science; Range (aeronautics); Engineering; Power (physics); Operating system","score_opus":0.012898890018157859,"score_gpt":0.22530704979846486,"score_spread":0.212408159780307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804682483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.698141,0.023262892,0.17222193,0.00150622,0.0007058434,0.00032654384,0.0010502522,0.0040862206,0.09869908],"genre_scores_gemma":[0.93318045,0.0065219277,0.016727835,0.00020520775,0.000059619277,0.00008637719,0.0005591451,0.00012115642,0.04253831],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998536,0.000010412563,0.0000056035983,0.000023966657,0.00008756562,0.000018807268],"domain_scores_gemma":[0.99994147,0.000007304234,0.000008598443,0.0000057020893,0.000028903549,0.000008098709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015469536,0.00028695664,0.00015676068,0.0003158197,0.00019083064,0.00046912965,0.0004029713,0.00036317873,0.0025365236],"category_scores_gemma":[0.00013693106,0.00012265575,0.00025980198,0.00035229718,0.00015194564,0.0008527771,0.000343926,0.00042571165,0.0012143789],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011664359,0.00006757028,0.00044973864,0.00024492663,0.000017940169,0.00013112802,0.000035371002,0.0014003913,0.9161795,0.00171609,0.0034237471,0.076217026],"study_design_scores_gemma":[0.000036958398,0.00047006027,0.0017237146,0.00003508892,0.00003006287,0.0004297809,0.00007276801,0.0062795226,0.9210205,0.0003930884,0.069477744,0.000030670784],"about_ca_topic_score_codex":0.0013804317,"about_ca_topic_score_gemma":0.0033790797,"teacher_disagreement_score":0.0025365236,"about_ca_system_score_codex":0.00046115948,"about_ca_system_score_gemma":0.0003734868,"threshold_uncertainty_score":0.008485556},"labels":[],"label_agreement":null},{"id":"W2805129967","doi":"10.1016/j.epsr.2018.05.020","title":"Thermal and electrical performance assessments of lithium-ion battery modules for an electric vehicle under actual drive cycles","year":2018,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Ontario Tech University","funders":"","keywords":"Battery pack; Battery (electricity); Voltage; Automotive engineering; Driving cycle; Lithium-ion battery; Thermal; Electric vehicle; Lithium (medication); Electrical engineering; State of charge; Acceleration; Nuclear engineering; Engineering; Simulation; Physics; Thermodynamics","score_opus":0.043339050453983306,"score_gpt":0.3498183947519075,"score_spread":0.3064793442979242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805129967","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99795145,0.00008321607,0.00077594724,0.00002266233,0.000008590428,0.000009839605,0.00026696475,0.000055615223,0.00082573015],"genre_scores_gemma":[0.9991412,0.000026022597,0.00012424873,0.000006177868,0.0000016154047,0.0000059482445,0.0001099355,0.000006676225,0.0005781173],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997607,0.000034465098,0.000020255213,0.000049208033,0.00008746435,0.000047883375],"domain_scores_gemma":[0.9995209,0.00014572652,0.00003469461,0.00004028243,0.00023161648,0.00002676605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002545223,0.00039187568,0.0004310084,0.00053782866,0.0004987571,0.00037043585,0.0005057638,0.0005026447,0.0022817694],"category_scores_gemma":[0.00071732054,0.00019051865,0.00035072485,0.0004236674,0.0003405446,0.0006331716,0.00027303878,0.00027524948,0.00039857862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010272688,0.0005108097,0.057452288,0.00080181326,0.00018715521,0.001398754,0.0016973554,0.06753794,0.7884894,0.0005698092,0.0030801774,0.06800187],"study_design_scores_gemma":[0.00008756456,0.004927144,0.18954824,0.00007872296,0.0002196095,0.0009240039,0.0023966096,0.13247165,0.66302204,0.0006101232,0.005579718,0.0001344483],"about_ca_topic_score_codex":0.0026538116,"about_ca_topic_score_gemma":0.0054227267,"teacher_disagreement_score":0.0026538116,"about_ca_system_score_codex":0.0003818681,"about_ca_system_score_gemma":0.00019203807,"threshold_uncertainty_score":0.007633209},"labels":[],"label_agreement":null},{"id":"W2805491853","doi":"10.1109/tmc.2018.2842733","title":"Backup Battery Analysis and Allocation against Power Outage for Cellular Base Stations","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Backup; Battery (electricity); Base station; Computer science; Reliability engineering; Power (physics); Reliability (semiconductor); Service (business); IT service continuity; Computer network; Engineering; Operating system","score_opus":0.013907107570950083,"score_gpt":0.26796945171290276,"score_spread":0.25406234414195267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805491853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9261239,0.0014640241,0.06119536,0.000784098,0.000084394276,0.00006839569,0.005736775,0.002320015,0.0022230912],"genre_scores_gemma":[0.98726815,0.00020725398,0.007557734,0.00006709079,0.000027371394,0.000022640454,0.004152817,0.00003619004,0.0006606668],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997638,0.000041149302,0.000017977878,0.0000740263,0.00004936593,0.000053709307],"domain_scores_gemma":[0.9993249,0.00023341089,0.00007658012,0.00010764187,0.00019064582,0.00006685294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052016857,0.00068356853,0.00063444104,0.0009626444,0.0003042682,0.00061185064,0.0009997431,0.0006014245,0.0006722987],"category_scores_gemma":[0.0028199246,0.00019639356,0.000363329,0.00091186754,0.00026595476,0.0009384835,0.0005887667,0.000618609,0.00028727175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074144354,0.00024017146,0.098210886,0.00023242591,0.00014186262,0.00039398318,0.00017315903,0.71660304,0.005660989,0.00087542296,0.013287447,0.16343915],"study_design_scores_gemma":[0.000015368216,0.000056542685,0.009685531,0.000009142295,0.000021609176,0.0000626987,0.00007583447,0.98668,0.0015128093,0.0009608856,0.0009113681,0.000008248669],"about_ca_topic_score_codex":0.016491214,"about_ca_topic_score_gemma":0.020720694,"teacher_disagreement_score":0.016491214,"about_ca_system_score_codex":0.0008293501,"about_ca_system_score_gemma":0.0005752561,"threshold_uncertainty_score":0.032790422},"labels":[],"label_agreement":null},{"id":"W2805663624","doi":"10.1109/tec.2018.2841427","title":"SoH-Aware Charging of Supercapacitors With Energy Efficiency Maximization","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National Science Foundation","keywords":"Supercapacitor; Efficient energy use; Capacitance; Computer science; Resistor; Maximization; Energy (signal processing); Microcontroller; Capacitor; Electronic engineering; Electrical engineering; Automotive engineering; Engineering; Embedded system; Voltage","score_opus":0.009464422907824437,"score_gpt":0.20874201666918507,"score_spread":0.19927759376136064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805663624","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09105992,0.0005601335,0.89642394,0.000270969,0.00006689859,0.00007949748,0.00006256602,0.0010222432,0.010453908],"genre_scores_gemma":[0.9735065,0.00012401656,0.024698393,0.000053760996,0.000020780762,0.00003317923,0.000024843177,0.00002941842,0.0015090765],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977106,0.00003313803,0.000014023953,0.000046856527,0.00010065768,0.000034225537],"domain_scores_gemma":[0.9998017,0.000052038966,0.000031824253,0.00003978377,0.000062764266,0.000011827185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018875048,0.00039611838,0.00048257408,0.00032779016,0.00031461517,0.0005090119,0.00084687554,0.00030261342,0.0009795186],"category_scores_gemma":[0.0005031324,0.00017724435,0.0002898849,0.00035013002,0.00032229023,0.0007547933,0.0005682966,0.00026703154,0.00019842225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034763612,0.00018371211,0.0026241802,0.00032594075,0.00007632158,0.00029468036,0.00032548336,0.45196977,0.16925919,0.019089853,0.0032728384,0.3522303],"study_design_scores_gemma":[0.000008181059,0.000056566085,0.00044727448,0.000007397486,0.000011971654,0.00008971346,0.000031904627,0.9657059,0.028000329,0.0038979545,0.001729432,0.000013430459],"about_ca_topic_score_codex":0.0006199967,"about_ca_topic_score_gemma":0.0010466055,"teacher_disagreement_score":0.0009795186,"about_ca_system_score_codex":0.00036505662,"about_ca_system_score_gemma":0.00028955122,"threshold_uncertainty_score":0.003276825},"labels":[],"label_agreement":null},{"id":"W2806116429","doi":"10.3390/en11061490","title":"Comparative Analysis of Lithium-Ion Battery Resistance Estimation Techniques for Battery Management Systems","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nuvation (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Battery pack; Internal resistance; Lithium-ion battery; Extended Kalman filter; Computer science; Kalman filter; Identification (biology); State of health; Engineering; Artificial intelligence; Power (physics)","score_opus":0.022871843837011154,"score_gpt":0.30411467750606386,"score_spread":0.2812428336690527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806116429","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42601007,0.0053749955,0.55432904,0.00028034844,0.00011310025,0.00026070265,0.00015891326,0.0023905593,0.011082215],"genre_scores_gemma":[0.954964,0.00076104375,0.042188093,0.000031202104,0.00002128643,0.00005885673,0.00015228584,0.000053831845,0.0017694788],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993175,0.00014879878,0.000067230045,0.00009852646,0.00031546873,0.00005249956],"domain_scores_gemma":[0.99677086,0.0018744392,0.0002348353,0.00017285625,0.0009184429,0.00002862681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011018588,0.00068861723,0.0006088008,0.0013496599,0.00032551217,0.0007227841,0.00055070716,0.00059303996,0.0019117484],"category_scores_gemma":[0.0057844925,0.00017321036,0.0004959688,0.0005982213,0.00016335564,0.0010919559,0.00040957547,0.00028934426,0.00045657068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010722004,0.0002048523,0.00813292,0.00082491105,0.00019133526,0.00014477619,0.00029033478,0.2596377,0.028391335,0.0021775877,0.0010184869,0.6979135],"study_design_scores_gemma":[0.000030251875,0.0008231854,0.01242411,0.000051519935,0.00012885321,0.00018953133,0.00014609647,0.9530864,0.029645791,0.00069070054,0.002742979,0.00004049322],"about_ca_topic_score_codex":0.0023406302,"about_ca_topic_score_gemma":0.0018932933,"teacher_disagreement_score":0.0023406302,"about_ca_system_score_codex":0.00047602417,"about_ca_system_score_gemma":0.00037001056,"threshold_uncertainty_score":0.006395459},"labels":[],"label_agreement":null},{"id":"W2806460956","doi":"10.11159/ffhmt18.149","title":"Novel Hybrid Cooling Concept for Battery Thermal Management Design","year":2018,"lang":"en","type":"article","venue":"Proceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Thermal management of electronic devices and systems; Battery (electricity); Computer science; Computer cooling; Thermal; Electrical engineering; Automotive engineering; Engineering; Mechanical engineering; Power (physics); Physics; Meteorology; Thermodynamics","score_opus":0.03865741674047426,"score_gpt":0.2618572425885637,"score_spread":0.22319982584808942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806460956","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13043909,0.0038975023,0.826359,0.0004585358,0.0005536196,0.0002498295,0.00015090626,0.000962964,0.03692849],"genre_scores_gemma":[0.8437807,0.001696889,0.13714513,0.00016824325,0.00017417005,0.00043466524,0.00013243765,0.00011283938,0.01635483],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999156,0.000009815328,0.000003302707,0.00002413103,0.000035564583,0.000011581022],"domain_scores_gemma":[0.99995947,0.0000050038175,0.000005840233,0.000003571677,0.000022471304,0.0000036195872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012624757,0.0003431637,0.0003295923,0.00021946905,0.00025346188,0.00039739566,0.00082954566,0.00038673196,0.0022304317],"category_scores_gemma":[0.00011748094,0.00018762238,0.00029307036,0.00015848337,0.00020978227,0.0007766089,0.00030596176,0.00025555576,0.00059510325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020386836,0.00009956306,0.00043260882,0.0005738881,0.000058733975,0.00026793825,0.00017397106,0.03309665,0.8044768,0.035833888,0.0049880925,0.11979397],"study_design_scores_gemma":[0.00010964248,0.0011838267,0.0013955208,0.0000835252,0.000109368346,0.0012089389,0.00009012178,0.5417727,0.32481566,0.007597578,0.12153132,0.00010176078],"about_ca_topic_score_codex":0.00024360188,"about_ca_topic_score_gemma":0.0002859211,"teacher_disagreement_score":0.0022304317,"about_ca_system_score_codex":0.00031508284,"about_ca_system_score_gemma":0.00025450534,"threshold_uncertainty_score":0.007461548},"labels":[],"label_agreement":null},{"id":"W2808629792","doi":"10.3390/batteries4020029","title":"Development of an Electro-Thermal Model for Electric Vehicles Using a Design of Experiments Approach","year":2018,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nuvation (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Computer science; State of charge; Equivalent circuit; Model-based design; State of health; Software; Battery pack; Noise (video); Fidelity; Simulation; Automotive engineering; Voltage; Reliability engineering; Power (physics); Electrical engineering; Artificial intelligence; Engineering","score_opus":0.08422665425494598,"score_gpt":0.3135006063802831,"score_spread":0.22927395212533713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808629792","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0072360667,0.00020793534,0.98705506,0.00006828593,0.000041698986,0.0002122795,0.00022221298,0.00041114425,0.0045452504],"genre_scores_gemma":[0.50421125,0.0013939565,0.4744469,0.00018845675,0.000062679996,0.004806905,0.00087582174,0.00019970788,0.013814337],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950814,0.00012173149,0.00003683365,0.00010907008,0.00018844254,0.000035701552],"domain_scores_gemma":[0.9994185,0.00028604025,0.000091809874,0.00005107441,0.0001420972,0.000010446994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010743145,0.0011449329,0.00086503226,0.0005608973,0.00036920173,0.0007684694,0.001416276,0.0013363151,0.003674729],"category_scores_gemma":[0.0014429257,0.00053915166,0.0015504601,0.00044714106,0.00036293644,0.0006848736,0.00056107325,0.0010745944,0.000792561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002851783,0.000045045726,0.00031547868,0.00019260362,0.000024459263,0.000050740015,0.0000337866,0.9718157,0.0075789914,0.00457686,0.00032051245,0.015017248],"study_design_scores_gemma":[0.000014457635,0.00012058151,0.00023020925,0.000017144685,0.000027352564,0.000023098126,0.000012312046,0.9900357,0.0038913111,0.0018103778,0.0038064616,0.000010980952],"about_ca_topic_score_codex":0.0034269192,"about_ca_topic_score_gemma":0.0035926243,"teacher_disagreement_score":0.003674729,"about_ca_system_score_codex":0.0006818895,"about_ca_system_score_gemma":0.0012154666,"threshold_uncertainty_score":0.01229316},"labels":[],"label_agreement":null},{"id":"W2808723863","doi":"10.1109/tcst.2018.2842038","title":"State-of-Charge Estimation Using an EKF-Based Adaptive Observer","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Control Systems Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"General Motors Corporation","keywords":"State of charge; Extended Kalman filter; Estimator; Kalman filter; Lithium iron phosphate; Battery (electricity); Observer (physics); Control theory (sociology); State variable; Computer science; Control engineering; Engineering; Mathematics; Physics; Thermodynamics; Artificial intelligence; Power (physics)","score_opus":0.03155160008823286,"score_gpt":0.278840797102446,"score_spread":0.24728919701421317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808723863","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018719096,0.00026071424,0.97856474,0.0001240968,0.00012425502,0.0000284044,0.000029761766,0.0005541044,0.0015948827],"genre_scores_gemma":[0.9198022,0.0003778449,0.076834366,0.00008557748,0.000078769874,0.00013067065,0.00012639572,0.000026335156,0.0025379213],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997906,0.0000260571,0.000020200703,0.000063746484,0.00007875319,0.000020695808],"domain_scores_gemma":[0.99965227,0.00010515963,0.000057733065,0.000034641012,0.00013781786,0.0000124031685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032295828,0.000493882,0.00071560097,0.0002628987,0.0002755451,0.0006398143,0.0007100787,0.00081231975,0.0008222782],"category_scores_gemma":[0.001188048,0.00025783502,0.00044778382,0.00030204875,0.00036104425,0.0008546693,0.00042390032,0.00094466,0.0003451089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017414332,0.00009700405,0.0027301132,0.00017942175,0.00010487719,0.00016258823,0.00014968505,0.79355955,0.02547725,0.0050814226,0.0018661385,0.17041771],"study_design_scores_gemma":[0.000011046164,0.000027398977,0.00026275127,0.000004440027,0.000008300965,0.000016700935,0.0000038368175,0.99758637,0.0012545087,0.00031386744,0.00050415314,0.000006648066],"about_ca_topic_score_codex":0.008638565,"about_ca_topic_score_gemma":0.005572321,"teacher_disagreement_score":0.008638565,"about_ca_system_score_codex":0.00046068316,"about_ca_system_score_gemma":0.00068361213,"threshold_uncertainty_score":0.017176569},"labels":[],"label_agreement":null},{"id":"W2809489242","doi":"10.21622/resd.2018.04.1.002","title":"State-of-the-art Charging Solutions for Electric Transportation and Autonomous E-mobility","year":2018,"lang":"en","type":"article","venue":"Renewable Energy and Sustainable Development","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Electrification; Electric vehicle; Energy storage; Automotive engineering; State (computer science); Computer science; Transport engineering; Electric energy; Energy (signal processing); Environmental science; Electrical engineering; Engineering; Electricity; Physics; Power (physics)","score_opus":0.008612687333953711,"score_gpt":0.21999200694849688,"score_spread":0.21137931961454318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809489242","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030006614,0.04251935,0.7096039,0.0029904665,0.002499422,0.00043273644,0.0007052277,0.004543229,0.20669907],"genre_scores_gemma":[0.5614651,0.06053482,0.23668458,0.0017198902,0.0008934637,0.00046014268,0.0018144589,0.00046291694,0.13596463],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99954224,0.00005117191,0.000026323214,0.0000485198,0.00027380543,0.000057944355],"domain_scores_gemma":[0.99977,0.00004633864,0.000018202889,0.000054908713,0.00009720015,0.000013287402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025990925,0.00050508836,0.00035742455,0.00057546207,0.00067861046,0.0013038329,0.0015201762,0.0011747372,0.013656046],"category_scores_gemma":[0.00068432686,0.00020501472,0.000465145,0.0012852228,0.00025663938,0.0026997316,0.001116457,0.00075435033,0.005069711],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017282167,0.00011340441,0.00050683145,0.0015795742,0.000045302215,0.00022591672,0.00017325502,0.005916541,0.027021306,0.055120684,0.031251114,0.87787324],"study_design_scores_gemma":[0.000043074775,0.00027626404,0.0011382503,0.00043715656,0.0000876214,0.002031084,0.00037936887,0.06750485,0.060670298,0.04081088,0.82653475,0.00008642881],"about_ca_topic_score_codex":0.0005560542,"about_ca_topic_score_gemma":0.0009234767,"teacher_disagreement_score":0.013656046,"about_ca_system_score_codex":0.00036698225,"about_ca_system_score_gemma":0.00051596283,"threshold_uncertainty_score":0.04568404},"labels":[],"label_agreement":null},{"id":"W2825335713","doi":"","title":"Grid energy storage: : The next big thing for Li-ion?","year":2016,"lang":"en","type":"article","venue":"Industrial Minerals","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Energy storage; Revenue; Grid; Grid energy storage; Garbage; Battery (electricity); Engineering; Electrical engineering; Computer science; Environmental economics; Business; Waste management; Renewable energy; Physics; Finance; Geography; Economics; Distributed generation; Power (physics)","score_opus":0.10527236409201254,"score_gpt":0.2878174407750107,"score_spread":0.18254507668299816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2825335713","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020638881,0.014205833,0.0019329643,0.92176795,0.018454727,0.000022817158,0.00021242723,0.00028879743,0.041050676],"genre_scores_gemma":[0.06940504,0.045731366,0.005258918,0.5597796,0.013613647,0.000061902996,0.00045162093,0.0003842486,0.3053137],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99925107,0.000110521156,0.000030537223,0.00009185641,0.0003863237,0.00012977162],"domain_scores_gemma":[0.9986872,0.00032490795,0.000053210704,0.00007859729,0.0005333068,0.00032269445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015835885,0.0005904951,0.0003267225,0.00043724792,0.0026018932,0.006465119,0.00068782497,0.0058806925,0.0099243885],"category_scores_gemma":[0.0027230836,0.00021739762,0.00037270892,0.0008026983,0.0029898481,0.009185948,0.0012559401,0.0068255966,0.003768633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005122709,0.00002382567,0.0005827729,0.00011480885,0.00000966104,0.00009643657,0.00030328464,0.00013129426,0.0007098967,0.04284391,0.9155676,0.039565273],"study_design_scores_gemma":[0.000009914127,0.000029081244,0.00026708408,0.00010600858,0.000006281432,0.00008496253,0.0008538284,0.00018360099,0.0006042996,0.016871892,0.98096544,0.000017654518],"about_ca_topic_score_codex":0.014797033,"about_ca_topic_score_gemma":0.03320572,"teacher_disagreement_score":0.014797033,"about_ca_system_score_codex":0.0046919254,"about_ca_system_score_gemma":0.0057821595,"threshold_uncertainty_score":0.034042478},"labels":[],"label_agreement":null},{"id":"W286708135","doi":"","title":"HIGH POWER RESISTANCE EXERCISE OVER-REACHING CAN BE MONITORED WITH A TRAINING QUESTIONNAIRE","year":2014,"lang":"en","type":"article","venue":"TopSCHOLAR (Western Kentucky University)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Resistance training; Training (meteorology); Power (physics); Physical therapy; Resistance (ecology); Psychology; Medicine; Geography","score_opus":0.01192839710828776,"score_gpt":0.2116088329784031,"score_spread":0.19968043587011536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W286708135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900535,0.00027308104,0.0013203921,0.000068980415,0.000017787652,0.001256699,0.0021625052,0.00007096216,0.0047761775],"genre_scores_gemma":[0.9872098,0.00046895223,0.0035388502,0.00012211261,0.00003324397,0.0017867135,0.0025665641,0.000013774389,0.004260036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906653,0.00033666502,0.00013865305,0.00009678907,0.0003042031,0.00005725573],"domain_scores_gemma":[0.99653316,0.0008628655,0.001467792,0.00021340093,0.0005128438,0.00040984602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013768564,0.00034622737,0.0004262448,0.00062357757,0.00019240813,0.00026948584,0.00033026008,0.00044584845,0.0043706433],"category_scores_gemma":[0.0030131168,0.00017357543,0.00035020066,0.00049421465,0.000148804,0.0004117209,0.00039613122,0.00045306713,0.0009054655],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007605766,0.009134304,0.8183465,0.0011747596,0.00047451205,0.00037269463,0.001270587,0.00052843895,0.034797795,0.0001147252,0.0064811762,0.11969891],"study_design_scores_gemma":[0.000089419336,0.003480041,0.99461925,0.00001715262,0.000030578056,0.00011266846,0.00008545173,0.00013613746,0.0006814989,0.000012425467,0.0007250306,0.000010248317],"about_ca_topic_score_codex":0.0010912655,"about_ca_topic_score_gemma":0.0025582195,"teacher_disagreement_score":0.0043706433,"about_ca_system_score_codex":0.0001400234,"about_ca_system_score_gemma":0.00015912084,"threshold_uncertainty_score":0.014621198},"labels":[],"label_agreement":null},{"id":"W2883499167","doi":"","title":"Lithium-ion-dominated US energy storage capacity surges in Q4 2016","year":2017,"lang":"en","type":"article","venue":"Industrial Minerals","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Energy storage; Vanadium; Quarter (Canadian coin); Lithium (medication); Legislature; Ion; Environmental science; Engineering physics; Electrical engineering; Business; Engineering; Materials science; Chemistry; Physics; Geography; Metallurgy; Thermodynamics","score_opus":0.06558932785117834,"score_gpt":0.28321043269608054,"score_spread":0.2176211048449022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883499167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4154089,0.0051803812,0.012142983,0.13141622,0.009960931,0.0002367181,0.05067696,0.0049039098,0.370073],"genre_scores_gemma":[0.79818445,0.0034694881,0.003977503,0.026130361,0.0016557875,0.00014941384,0.01955202,0.0006085283,0.14627239],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99916065,0.000035221987,0.000036469486,0.00009352201,0.0005158694,0.00015828633],"domain_scores_gemma":[0.99841714,0.00013410999,0.000116935225,0.000054998127,0.0011307986,0.00014601786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096066954,0.00050256826,0.00027468504,0.000995065,0.0013908036,0.0025001264,0.00045585984,0.0012331253,0.013955501],"category_scores_gemma":[0.003753402,0.0002678475,0.00035824516,0.001239861,0.0009962636,0.0029932172,0.0018532375,0.0016524525,0.0051015145],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013276897,0.00021910359,0.024632802,0.00034653852,0.000036129193,0.00072340225,0.0008287077,0.0030627435,0.015021211,0.07636169,0.6889433,0.18849666],"study_design_scores_gemma":[0.00004484389,0.00023129834,0.023518026,0.00016532576,0.00001613335,0.00026168203,0.0011062402,0.0023522754,0.015917286,0.010272778,0.9460565,0.00005768848],"about_ca_topic_score_codex":0.04363276,"about_ca_topic_score_gemma":0.048363723,"teacher_disagreement_score":0.04363276,"about_ca_system_score_codex":0.004758392,"about_ca_system_score_gemma":0.004850993,"threshold_uncertainty_score":0.08675754},"labels":[],"label_agreement":null},{"id":"W2885578090","doi":"10.1016/j.jpowsour.2018.06.104","title":"State-of-charge estimation of Li-ion batteries using deep neural networks: A machine learning approach","year":2018,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":791,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canada Research Chairs; Government of Canada; University of Wisconsin-Madison; Nvidia; Canada Excellence Research Chairs, Government of Canada; U.S. Environmental Protection Agency","keywords":"Battery (electricity); State of charge; Artificial neural network; Computer science; Process (computing); Artificial intelligence; Power (physics)","score_opus":0.016200220386062142,"score_gpt":0.2636653438890747,"score_spread":0.24746512350301256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885578090","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3200666,0.0025446978,0.6658769,0.0008539885,0.00020488065,0.00006575752,0.0004110464,0.001219164,0.008757006],"genre_scores_gemma":[0.9870919,0.00021205835,0.010263572,0.00006141009,0.000030475383,0.000020647672,0.00015519213,0.000019819818,0.0021448624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999287,0.000010254658,0.0000058177566,0.000019834653,0.000022193555,0.000013128948],"domain_scores_gemma":[0.9997664,0.000101826925,0.000031003197,0.000016667473,0.000074254596,0.000009886157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002995929,0.0004406298,0.0005037049,0.000306918,0.0002551173,0.000771531,0.0007757554,0.00073253264,0.0011386913],"category_scores_gemma":[0.0010120937,0.00033427638,0.00031555543,0.00032509657,0.00025090578,0.0009306804,0.00037815687,0.0007679676,0.00026526797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021830115,0.00010227705,0.0032392985,0.000111038156,0.00005747337,0.00007041684,0.00004181468,0.9041807,0.0063444735,0.0033158062,0.0015036486,0.0808147],"study_design_scores_gemma":[0.0000015719048,0.0000042349006,0.00020130505,0.0000022332388,0.0000022377435,0.000003822832,0.0000020622513,0.99837315,0.00063707336,0.00068155915,0.000088760884,0.0000019987567],"about_ca_topic_score_codex":0.0067026285,"about_ca_topic_score_gemma":0.00956195,"teacher_disagreement_score":0.0067026285,"about_ca_system_score_codex":0.00067880895,"about_ca_system_score_gemma":0.0005341104,"threshold_uncertainty_score":0.013327241},"labels":[],"label_agreement":null},{"id":"W2886075502","doi":"10.3390/en11082048","title":"Optimal Component Sizing for Peak Shaving in Battery Energy Storage System for Industrial Applications","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":122,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Peaking power plant; Sizing; Payback period; Battery (electricity); Energy storage; Automotive engineering; Load profile; Computer science; Peak demand; Reliability engineering; Power (physics); Electricity; Engineering; Electrical engineering; Distributed generation; Production (economics); Renewable energy; Economics","score_opus":0.033738091209284546,"score_gpt":0.27236835488245353,"score_spread":0.23863026367316897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886075502","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2041635,0.0011248445,0.77820885,0.00029171878,0.000055508237,0.00022553011,0.00022326683,0.000608985,0.015097783],"genre_scores_gemma":[0.97159475,0.00021807052,0.026594909,0.000024661693,0.000008554522,0.000045505763,0.00006468007,0.000037985177,0.0014108354],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982446,0.000044008397,0.0000113930455,0.000028465493,0.000056454042,0.000035113735],"domain_scores_gemma":[0.9998616,0.000056368015,0.000026171496,0.000010962927,0.000035987152,0.000008799103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003800459,0.0006496691,0.00068513345,0.00042234882,0.0002965494,0.00095313886,0.00048235772,0.0003532008,0.0023403594],"category_scores_gemma":[0.00059593475,0.00035432653,0.0004369729,0.0004830035,0.00025932683,0.0006545971,0.00028694683,0.00043833276,0.0002853432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000127119,0.00005669201,0.00059392327,0.00015704632,0.000022635159,0.00005962751,0.00005508178,0.9343993,0.014065398,0.0037565753,0.00083355664,0.045873065],"study_design_scores_gemma":[0.000011252085,0.00008995588,0.0004972682,0.000010708805,0.000019394802,0.000026578102,0.000042942505,0.9921389,0.003972756,0.0024733008,0.0007097955,0.000007175749],"about_ca_topic_score_codex":0.0034569814,"about_ca_topic_score_gemma":0.006708723,"teacher_disagreement_score":0.0034569814,"about_ca_system_score_codex":0.00083432515,"about_ca_system_score_gemma":0.0011334335,"threshold_uncertainty_score":0.007829249},"labels":[],"label_agreement":null},{"id":"W2886629195","doi":"10.1111/jiec.12774","title":"Integrating Batteries in the Future Swiss Electricity Supply System: A Consequential Environmental Assessment","year":2018,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Wallonie-Bruxelles International; Kommission für Technologie und Innovation","keywords":"Life-cycle assessment; Electricity; Environmental economics; Environmental impact assessment; Renewable energy; Electricity generation; Industrial ecology; Production (economics); Mains electricity; Energy mix; Environmental science; Natural resource economics; Engineering; Sustainability; Economics; Power (physics)","score_opus":0.016475474508808603,"score_gpt":0.27024353002511475,"score_spread":0.25376805551630616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886629195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97629625,0.0005060189,0.0064086285,0.00073500344,0.00003065537,0.000039811606,0.00074321683,0.00008469346,0.015155747],"genre_scores_gemma":[0.9957301,0.00027265924,0.0010237069,0.000017564918,0.0000066320645,0.000009349464,0.00021134678,0.000010280968,0.0027184137],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996687,0.00009006628,0.000009815376,0.000028127519,0.0001595056,0.000043911],"domain_scores_gemma":[0.99963915,0.00010889552,0.000036327507,0.000028200093,0.00016932016,0.000018114306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057158637,0.00048050855,0.00015894706,0.00054236664,0.00047965164,0.0010816905,0.00036682116,0.00085278443,0.00297897],"category_scores_gemma":[0.0009302576,0.0001347068,0.00046607904,0.00071378786,0.00036291775,0.00099895,0.00057770836,0.0003649291,0.00032847622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014244168,0.00023335726,0.14638981,0.00031126576,0.000221565,0.0026925157,0.0004254194,0.6943395,0.037578173,0.019135533,0.003820337,0.09342808],"study_design_scores_gemma":[0.00010746688,0.0012535661,0.24635068,0.00015235877,0.00045317668,0.0007793656,0.0017162001,0.64076084,0.04862835,0.022432504,0.037216555,0.00014892351],"about_ca_topic_score_codex":0.02134351,"about_ca_topic_score_gemma":0.04269929,"teacher_disagreement_score":0.02134351,"about_ca_system_score_codex":0.0019222595,"about_ca_system_score_gemma":0.0007202856,"threshold_uncertainty_score":0.042438507},"labels":[],"label_agreement":null},{"id":"W2887979441","doi":"10.1016/j.jpowsour.2018.08.030","title":"Health conscious fast charging of Li-ion batteries via a single particle model with aging mechanisms","year":2018,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":117,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Fade; Degradation (telecommunications); Computer science; Battery capacity; Charge cycle; Trickle charging; Automotive engineering; State of health; Simulation; Power (physics); Engineering; Telecommunications; Physics","score_opus":0.014679317467332344,"score_gpt":0.25439369195550204,"score_spread":0.2397143744881697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887979441","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44997197,0.00343793,0.46472764,0.0037902587,0.0013228917,0.0002766624,0.00047910315,0.00054862804,0.075445004],"genre_scores_gemma":[0.97913533,0.0005016254,0.0058249836,0.00024231516,0.00010623446,0.00006585386,0.00008213689,0.00006337539,0.013978114],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998197,0.000042693922,0.000010295282,0.000028772756,0.000054231554,0.000044435743],"domain_scores_gemma":[0.9994153,0.00023574638,0.000072746996,0.00007438434,0.00012941584,0.0000724683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057499466,0.0007781005,0.0013622384,0.0006210367,0.000705253,0.0013164023,0.0019239782,0.0028307377,0.0034595812],"category_scores_gemma":[0.0017806209,0.0005437194,0.0013865511,0.0004406344,0.0017597242,0.0022617383,0.0011059253,0.0011434719,0.00039011674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024139821,0.0001315108,0.0008188244,0.00014212169,0.00005799372,0.00039079835,0.00016201069,0.8883629,0.0052903844,0.09966964,0.0010814003,0.0036510718],"study_design_scores_gemma":[0.000020400827,0.000021003965,0.00011957812,0.000005341083,0.000013728245,0.000030223504,0.000016152826,0.99326444,0.00026742308,0.0059943534,0.00023870089,0.000008672477],"about_ca_topic_score_codex":0.0047695423,"about_ca_topic_score_gemma":0.0025812367,"teacher_disagreement_score":0.0047695423,"about_ca_system_score_codex":0.00084905064,"about_ca_system_score_gemma":0.0008604533,"threshold_uncertainty_score":0.011573434},"labels":[],"label_agreement":null},{"id":"W2888774724","doi":"10.1109/mesa.2018.8449163","title":"Modeling and Simulation of Hybrid Electric Ships with AC Power Bus - A Case Study","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Transport Canada","keywords":"Automotive engineering; Diesel generator; Electric power system; Hybrid power; Energy storage; Electrically powered spacecraft propulsion; Power (physics); Engineering; Propulsion; Computer science; Diesel fuel","score_opus":0.02461112845480898,"score_gpt":0.2926380198315311,"score_spread":0.2680268913767221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888774724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8945462,0.00033009218,0.07280748,0.00039667822,0.00006537097,0.00016289845,0.0011294159,0.0005915118,0.029970301],"genre_scores_gemma":[0.98980254,0.00012289717,0.0058609936,0.000016109458,0.0000067004385,0.00009235268,0.0002905977,0.000021400425,0.0037864128],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999877,0.000037508184,0.0000086511445,0.0000200296,0.000027488484,0.000029266892],"domain_scores_gemma":[0.9996718,0.00017584281,0.000031338925,0.000027514548,0.000063804226,0.000029771949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026967216,0.0006295303,0.0005636619,0.0004287382,0.00049333595,0.0008666096,0.0008723647,0.0012961179,0.0037718622],"category_scores_gemma":[0.0005125216,0.00028336066,0.00074887247,0.0004415458,0.00035780793,0.0004378179,0.00049098,0.0006802626,0.00026967036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029091238,0.000037819085,0.00094806403,0.000024693085,0.000009903885,0.00013669467,0.000027875276,0.9963025,0.00053363474,0.00067883683,0.00013957417,0.0011313064],"study_design_scores_gemma":[0.000008496057,0.000025425252,0.00032222923,0.0000025185673,0.000004925414,0.000010498725,0.00002538041,0.9988702,0.00030254788,0.00019515303,0.00022990546,0.0000026169207],"about_ca_topic_score_codex":0.018483983,"about_ca_topic_score_gemma":0.011753154,"teacher_disagreement_score":0.018483983,"about_ca_system_score_codex":0.0005523399,"about_ca_system_score_gemma":0.00053598353,"threshold_uncertainty_score":0.03675282},"labels":[],"label_agreement":null},{"id":"W2888803224","doi":"10.1109/itec.2018.8450156","title":"Design and Optimization of An Electric Vehicle with Two Battery Cell Chemistries","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Powertrain; Automotive engineering; Electric vehicle; Computer science; Lithium-ion battery; Battery electric vehicle; MATLAB; Energy storage; Lithium (medication); Range (aeronautics); Electrical engineering; Engineering; Torque; Aerospace engineering; Power (physics); Physics","score_opus":0.010359723450462995,"score_gpt":0.2312193283447855,"score_spread":0.22085960489432252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888803224","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23863384,0.0007801401,0.6958571,0.0006609916,0.00016480306,0.0005485028,0.0004129669,0.00060630345,0.062335424],"genre_scores_gemma":[0.9329678,0.00029041726,0.054137707,0.0000751979,0.000013614393,0.00042706612,0.0001280148,0.000037604455,0.011922748],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984074,0.000030897027,0.0000056806516,0.000031248474,0.000060942086,0.00003046635],"domain_scores_gemma":[0.999897,0.000034138076,0.000015219228,0.0000059956683,0.000038795304,0.000008862231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003438544,0.0006640437,0.00059263536,0.00036069474,0.0003642024,0.0010053641,0.0006073401,0.000845979,0.0033860544],"category_scores_gemma":[0.00039081747,0.00037870792,0.00048479522,0.0002518991,0.00040302216,0.00040787336,0.00044127903,0.0005325952,0.00047744453],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059013444,0.00003976936,0.00028170986,0.00009582839,0.000023889632,0.00006125376,0.000024075509,0.9782242,0.0074658496,0.0020886648,0.00026392055,0.011371865],"study_design_scores_gemma":[0.00004138175,0.00023939041,0.0003157748,0.000010066637,0.000027316606,0.000024560586,0.000032956403,0.99292314,0.0030911486,0.00064379955,0.0026404855,0.000009994472],"about_ca_topic_score_codex":0.0025435113,"about_ca_topic_score_gemma":0.0026758588,"teacher_disagreement_score":0.0033860544,"about_ca_system_score_codex":0.0005257534,"about_ca_system_score_gemma":0.00096894207,"threshold_uncertainty_score":0.0113274455},"labels":[],"label_agreement":null},{"id":"W2888907451","doi":"10.1109/itec.2018.8450251","title":"Hybrid Energy Storage System State-Of-Charge Estimation Using Artificial Neural Network For Micro-Hybrid Applications","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Artificial neural network; State of charge; Driving cycle; Mean squared error; Backpropagation; Computer science; Feedforward neural network; Battery (electricity); Lithium iron phosphate; Artificial intelligence; Electric vehicle; Mathematics","score_opus":0.024219009280070706,"score_gpt":0.2781087063348913,"score_spread":0.2538896970548206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888907451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8186968,0.00043267274,0.1748229,0.00013497497,0.000054567547,0.000090976835,0.00037659938,0.0013830112,0.0040074615],"genre_scores_gemma":[0.991531,0.000043909713,0.0076650335,0.000007929709,0.0000025453776,0.000039630773,0.000108393346,0.0000066157704,0.0005949338],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993193,0.000011578936,0.0000066772086,0.000016397955,0.000027743967,0.0000056282565],"domain_scores_gemma":[0.9998764,0.000048781218,0.00001591285,0.000009775429,0.00004572365,0.0000032474027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002077985,0.00032965266,0.00030508268,0.00027544738,0.00018136812,0.0003432167,0.00027503172,0.0002683257,0.0007045224],"category_scores_gemma":[0.00033742728,0.0001271743,0.00016443113,0.00027192768,0.00010750487,0.00039389913,0.00017198364,0.00024704906,0.00011672016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005032529,0.00024632274,0.013325704,0.00037491356,0.00015394355,0.00013764529,0.0001412916,0.7204128,0.06418322,0.0005936366,0.0009807263,0.19894671],"study_design_scores_gemma":[0.000008004771,0.000061006627,0.0049135983,0.000006222148,0.000011239081,0.0000122358415,0.000014893453,0.98512286,0.009435007,0.00014979111,0.00025646985,0.000008658755],"about_ca_topic_score_codex":0.0048992415,"about_ca_topic_score_gemma":0.008289015,"teacher_disagreement_score":0.0048992415,"about_ca_system_score_codex":0.00033020624,"about_ca_system_score_gemma":0.00021967484,"threshold_uncertainty_score":0.0097414255},"labels":[],"label_agreement":null},{"id":"W2889010056","doi":"10.1109/itec.2018.8450197","title":"Simultaneous State and Parameter Estimation of Li-Ion Battery With One State Hysteresis Model Using Augmented Unscented Kalman Filter","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Kalman filter; State of charge; Control theory (sociology); Battery (electricity); Extended Kalman filter; State-space representation; Voltage; Capacitance; Equivalent circuit; Hysteresis; Computer science; Electrode; Engineering; Electrical engineering; Algorithm; Physics; Power (physics); Artificial intelligence; Thermodynamics","score_opus":0.027222868625661242,"score_gpt":0.2704074263025767,"score_spread":0.24318455767691544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889010056","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032303736,0.00017827557,0.96623224,0.00006398389,0.000022871453,0.000015385729,0.00003376064,0.00036748202,0.0007822544],"genre_scores_gemma":[0.93958074,0.00024100629,0.05789447,0.00003935885,0.000021123908,0.000068425594,0.00014203257,0.000027317235,0.0019854275],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978656,0.000033545926,0.000019143703,0.000061181374,0.000075460775,0.000024118943],"domain_scores_gemma":[0.9996573,0.00012058373,0.00006616605,0.000045163004,0.00010116192,0.000009695742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036802067,0.00047900673,0.0006657236,0.00025371625,0.00031217115,0.00063966954,0.0005595266,0.00047682508,0.0007462921],"category_scores_gemma":[0.0011845957,0.0003240606,0.0005514796,0.000276922,0.00027658002,0.00094450254,0.0006229372,0.00077846827,0.00024709973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013992374,0.00005804665,0.0029832055,0.000180359,0.00010094816,0.00012333326,0.00028064512,0.8282164,0.020023737,0.0037669195,0.00069264264,0.14343382],"study_design_scores_gemma":[0.0000028070651,0.000021988899,0.00035026835,0.0000036808517,0.000007287114,0.000014244296,0.0000070046885,0.9972705,0.0016532461,0.00041954167,0.0002425287,0.000006795058],"about_ca_topic_score_codex":0.009921906,"about_ca_topic_score_gemma":0.008347339,"teacher_disagreement_score":0.009921906,"about_ca_system_score_codex":0.0003057142,"about_ca_system_score_gemma":0.00073646574,"threshold_uncertainty_score":0.019728303},"labels":[],"label_agreement":null},{"id":"W2889036670","doi":"10.1109/icphm.2018.8448521","title":"Physics-based Model and Neural Network Model for Monitoring Starter Degradation of APU","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Life Prediction Technologies (Canada); Carleton University","funders":"","keywords":"Starter; Degradation (telecommunications); Artificial neural network; Power (physics); Engineering; Auxiliary power unit; Backpropagation; Transient (computer programming); Reliability engineering; Computer science; Control engineering; Automotive engineering; Electronic engineering; Machine learning; Physics","score_opus":0.04931681105153877,"score_gpt":0.29899206124206856,"score_spread":0.2496752501905298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889036670","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28234977,0.00083533063,0.70350933,0.00027912486,0.00010787166,0.00016533452,0.00044649755,0.0014449913,0.010861812],"genre_scores_gemma":[0.98653746,0.00026401257,0.009175361,0.000025516805,0.000011886113,0.00016043622,0.00019870642,0.000024315703,0.0036023934],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987936,0.000019896874,0.000008469875,0.000040441868,0.000036442292,0.000015301448],"domain_scores_gemma":[0.9998203,0.00006409598,0.000028414464,0.000013335296,0.00006767147,0.0000062188647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025343505,0.000781232,0.00048998086,0.00043700144,0.00032092276,0.0005263002,0.0010256389,0.0009839751,0.0012763804],"category_scores_gemma":[0.00065197557,0.00031175153,0.0006759092,0.00034263774,0.0003628285,0.0007320417,0.0003463297,0.000816763,0.00022133364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028562621,0.000022592523,0.00080296997,0.000031398544,0.000013504231,0.000038576403,0.00002229297,0.99124736,0.0020128628,0.00036262878,0.000110339846,0.005307009],"study_design_scores_gemma":[0.0000012340167,0.000010021531,0.00021122606,0.0000016608946,0.0000031832556,0.0000033650683,0.000002265111,0.9992755,0.00032245496,0.000119382785,0.00004741375,0.0000022985578],"about_ca_topic_score_codex":0.016328024,"about_ca_topic_score_gemma":0.008555794,"teacher_disagreement_score":0.016328024,"about_ca_system_score_codex":0.0006045921,"about_ca_system_score_gemma":0.00054719026,"threshold_uncertainty_score":0.032465994},"labels":[],"label_agreement":null},{"id":"W2889221242","doi":"10.1109/pedg.2018.8447608","title":"Filter Design for Energy Management Control of Hybrid Energy Storage Systems in Electric Vehicles","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Energy management; Computer science; Energy storage; Infinite impulse response; Passband; Filter (signal processing); Energy (signal processing); Low-pass filter; Control theory (sociology); Electronic engineering; Automotive engineering; Digital filter; Engineering; Band-pass filter; Control (management); Power (physics)","score_opus":0.015593398194105764,"score_gpt":0.23338208360509524,"score_spread":0.21778868541098947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889221242","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018820567,0.00044467428,0.9782305,0.00004283009,0.000032781238,0.00003521337,0.000019826817,0.00026331662,0.0021104047],"genre_scores_gemma":[0.8653643,0.00068889913,0.12784736,0.00011038828,0.000063859574,0.00014830417,0.00010384984,0.00007803939,0.005595108],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997898,0.000046705627,0.000015493957,0.000040490802,0.00008411231,0.000023459412],"domain_scores_gemma":[0.99972385,0.00011367573,0.0000310859,0.0000151376225,0.0001104414,0.0000057407083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000436588,0.000490246,0.0003442552,0.00023325103,0.00031059183,0.0008349132,0.0003889261,0.0005582152,0.0020944122],"category_scores_gemma":[0.00074561033,0.00016602548,0.00023346217,0.00017567656,0.00022048355,0.00046759364,0.00017033888,0.00033533957,0.00048317158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085206813,0.00014891563,0.0014307803,0.0012468251,0.0001489138,0.00017271041,0.00048741075,0.14259866,0.3510575,0.020375185,0.0021169651,0.4793641],"study_design_scores_gemma":[0.0001585929,0.001432126,0.0027121685,0.00013592662,0.00016354278,0.0003103276,0.00015940398,0.8148085,0.15028931,0.006858149,0.022919154,0.000052793333],"about_ca_topic_score_codex":0.0013618966,"about_ca_topic_score_gemma":0.00139055,"teacher_disagreement_score":0.0020944122,"about_ca_system_score_codex":0.0004154015,"about_ca_system_score_gemma":0.00031391918,"threshold_uncertainty_score":0.007006526},"labels":[],"label_agreement":null},{"id":"W2889275650","doi":"10.1109/mesa.2018.8449191","title":"Recent Advance of Hybrid Energy Storage Systems for Electrified Vehicles","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Battery (electricity); Energy storage; Powertrain; Automotive engineering; State of charge; Electric vehicle; Computer science; Energy management; Supercapacitor; Computer data storage; Power (physics); Electrical engineering; Engineering; Energy (signal processing); Torque; Physics","score_opus":0.016936262676855728,"score_gpt":0.2630270592931444,"score_spread":0.2460907966162887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889275650","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01593039,0.88505465,0.05329716,0.0016079005,0.0013502723,0.000059252245,0.00022842175,0.00016694282,0.04230503],"genre_scores_gemma":[0.13701098,0.80634516,0.030089425,0.0006590727,0.0011451723,0.000060354047,0.0005832655,0.00004458367,0.024061983],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983835,0.000024956817,0.000022758402,0.000031994256,0.00007268547,0.000009207124],"domain_scores_gemma":[0.9996536,0.0001243006,0.00003181404,0.000016793612,0.00016218364,0.000011361154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003591945,0.0003800528,0.00032290592,0.00068391935,0.00014649874,0.0006085838,0.0004102587,0.00048653825,0.0030577583],"category_scores_gemma":[0.0005198771,0.000201713,0.00027952893,0.0011417038,0.00017399531,0.0015487374,0.00045450585,0.0005030871,0.0007819202],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017224891,0.00005896572,0.00073031563,0.008257566,0.00010136793,0.00043879947,0.0001341939,0.01158818,0.027593147,0.046347108,0.014296862,0.8902813],"study_design_scores_gemma":[0.000013234628,0.00032061053,0.001072006,0.000816575,0.00012713551,0.0011896029,0.000118432145,0.015055918,0.017067362,0.011501429,0.95266265,0.00005507092],"about_ca_topic_score_codex":0.00040521089,"about_ca_topic_score_gemma":0.00050727645,"teacher_disagreement_score":0.0030577583,"about_ca_system_score_codex":0.00033754375,"about_ca_system_score_gemma":0.0003568276,"threshold_uncertainty_score":0.01022917},"labels":[],"label_agreement":null},{"id":"W2889334234","doi":"10.1109/itec.2018.8450186","title":"A Review of Front End AC-DC Topologies in Universal Battery Charger for Electric Transportation","year":2018,"lang":"en","type":"review","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Converters; Electrical engineering; Network topology; Battery charger; Electric vehicle; Grid; Automotive industry; Automotive engineering; Power electronics; Engineering; Harmonic; Power (physics); Electric-vehicle battery; Battery (electricity); Computer science; Voltage","score_opus":0.044505129040798,"score_gpt":0.33422168142244635,"score_spread":0.28971655238164834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889334234","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00063704903,0.99054235,0.0018673758,0.00024124536,0.0004283903,0.00001995834,0.000073345815,0.000028863831,0.0061614416],"genre_scores_gemma":[0.0034504558,0.98926884,0.0021922719,0.00020967258,0.0002988179,0.000020153642,0.00014750213,0.000011680218,0.004400651],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999752,0.000027999411,0.000042940595,0.00005828587,0.00010084023,0.000018038238],"domain_scores_gemma":[0.99963903,0.00015004496,0.00004131521,0.00001724947,0.0001360449,0.000016274222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004557197,0.00087311724,0.00086644647,0.0022916866,0.00031664514,0.0009485626,0.0009873789,0.00087361486,0.0071666213],"category_scores_gemma":[0.00070987333,0.0004234746,0.0006490889,0.0032105213,0.00023193994,0.0018924671,0.00047084125,0.00095162855,0.0037864484],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005780644,0.0000885678,0.00021798268,0.022422105,0.00006104715,0.00024128737,0.00007880645,0.00094851083,0.0041828193,0.006432863,0.021669904,0.94359833],"study_design_scores_gemma":[0.000005793144,0.00012385969,0.0004696561,0.0026730446,0.00009277051,0.0011805565,0.00005572862,0.00030690347,0.0017602675,0.0016300142,0.9916774,0.000024009554],"about_ca_topic_score_codex":0.0007372536,"about_ca_topic_score_gemma":0.0010350725,"teacher_disagreement_score":0.0071666213,"about_ca_system_score_codex":0.00034013318,"about_ca_system_score_gemma":0.0006528184,"threshold_uncertainty_score":0.023974717},"labels":[],"label_agreement":null},{"id":"W2889454478","doi":"10.1109/itec.2018.8450183","title":"A Comparison of the Performance and Thermal Management Requirements of Lithium-Ion Batteries During Ultra-Fast Charging","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Fiat Chrysler Automobiles; Canada Research Chairs; McMaster University","keywords":"Battery (electricity); Lithium (medication); Thermal; Automotive engineering; Electrical engineering; Materials science; Nuclear engineering; Power (physics); Computer science; Engineering; Physics; Thermodynamics","score_opus":0.022777093666593584,"score_gpt":0.28393018119050606,"score_spread":0.2611530875239125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889454478","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946682,0.0008397647,0.0032315971,0.000041486517,0.000017006509,0.000017002212,0.00013057854,0.00006744807,0.000987062],"genre_scores_gemma":[0.99825937,0.00037188432,0.00064420287,0.000014862709,0.0000051754614,0.000012981139,0.00016939649,0.000021777289,0.0005003468],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99966323,0.000035627363,0.000028831699,0.000036994235,0.00014138574,0.00009402005],"domain_scores_gemma":[0.999252,0.00023740208,0.00007125045,0.00007488548,0.00032707732,0.000037308026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049510086,0.00039432762,0.00059127004,0.00047907457,0.00040220714,0.00061306125,0.0006074321,0.00044236772,0.0010918643],"category_scores_gemma":[0.0013249012,0.000160086,0.00034499855,0.00048369553,0.0002615801,0.0014032498,0.00032472148,0.00031635186,0.00035983164],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024916877,0.00015615611,0.013316233,0.0007081008,0.00007123058,0.00055111665,0.0005999014,0.014856648,0.9005069,0.00053269905,0.000664413,0.06554485],"study_design_scores_gemma":[0.000036409914,0.0016191277,0.03056062,0.00003428605,0.00006897576,0.0006599347,0.0005294384,0.017079119,0.94596815,0.00041174507,0.0029611427,0.00007102589],"about_ca_topic_score_codex":0.0006472024,"about_ca_topic_score_gemma":0.0009281557,"teacher_disagreement_score":0.0010918643,"about_ca_system_score_codex":0.0004260021,"about_ca_system_score_gemma":0.0002060907,"threshold_uncertainty_score":0.0036526322},"labels":[],"label_agreement":null},{"id":"W2889500915","doi":"10.1109/itec.2018.8450191","title":"An Implementation of Solar PV Array Based Multifunctional EV Charger","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Electrical engineering; Photovoltaic system; AC power; Grid; Total harmonic distortion; Battery charger; Grid-connected photovoltaic power system; Voltage; Battery (electricity); Solar energy; Power (physics); Engineering; Computer science; Maximum power point tracking; Physics","score_opus":0.02053056618353116,"score_gpt":0.32169778183390424,"score_spread":0.3011672156503731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889500915","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28777936,0.00226353,0.6358455,0.0007329554,0.0010170338,0.00034027616,0.0004444891,0.006743739,0.06483322],"genre_scores_gemma":[0.94951177,0.0003968031,0.036971174,0.00016993837,0.000073578296,0.000048411788,0.000119157696,0.000045926023,0.012663288],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997732,0.0000290925,0.000011508013,0.000058199847,0.00009834989,0.000029580979],"domain_scores_gemma":[0.99991024,0.000008276894,0.000010274948,0.00001659706,0.00004649805,0.000008124688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000108362416,0.00029035346,0.0003866299,0.0002372554,0.00020231066,0.00053185096,0.0010653401,0.0006164044,0.003015372],"category_scores_gemma":[0.00015474492,0.00011861456,0.00031532053,0.00020403674,0.00011592377,0.0005897867,0.00028372236,0.00031195962,0.0011468509],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053047045,0.00024160124,0.0022327933,0.00069620187,0.00011169782,0.0016998487,0.00017690522,0.017329432,0.64298296,0.007588273,0.009447325,0.31696248],"study_design_scores_gemma":[0.0001595404,0.0024370349,0.005782225,0.00006288916,0.00015838552,0.0047037546,0.0001401394,0.25751877,0.6328855,0.0018037233,0.09425359,0.00009447725],"about_ca_topic_score_codex":0.00030743252,"about_ca_topic_score_gemma":0.000317127,"teacher_disagreement_score":0.003015372,"about_ca_system_score_codex":0.00017122425,"about_ca_system_score_gemma":0.0001249118,"threshold_uncertainty_score":0.0100874305},"labels":[],"label_agreement":null},{"id":"W2889517895","doi":"10.1109/ccece.2018.8447770","title":"A New Approach to Improve Li-Ion Battery Lifetime in Home Energy Storage System with Photovoltaic Modules","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Photovoltaic system; Energy storage; Electrical engineering; Electricity; Automotive engineering; Solar energy; Energy (signal processing); Computer science; Materials science; Engineering; Power (physics); Physics","score_opus":0.009293090737661146,"score_gpt":0.21510591266968487,"score_spread":0.20581282193202372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889517895","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30719846,0.008097464,0.6487985,0.0009870682,0.00043792807,0.0001731007,0.00026622647,0.002319981,0.031721305],"genre_scores_gemma":[0.922635,0.0014780936,0.0649916,0.00016446458,0.00010223395,0.0000878447,0.00013852054,0.000051330426,0.0103507],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99994445,0.000006265012,0.000005231459,0.000015113466,0.000021606962,0.0000073909764],"domain_scores_gemma":[0.9999558,0.000005848527,0.0000044699054,0.0000056891236,0.000024768888,0.0000034253426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008178983,0.0002065605,0.00023372454,0.00022956888,0.00027883743,0.0002909606,0.00036801837,0.0002805208,0.0015386187],"category_scores_gemma":[0.00009001845,0.000073801115,0.00021768594,0.00018268511,0.00010753839,0.000650962,0.00022246406,0.00024486607,0.00029839313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030485514,0.00018115676,0.0024371415,0.000795871,0.00010460295,0.00035737155,0.00020351548,0.014740905,0.5205693,0.011935812,0.0036367662,0.44473267],"study_design_scores_gemma":[0.0001392134,0.0017639692,0.0070871585,0.000087668675,0.00029108935,0.0020036723,0.0002746934,0.20279671,0.6741276,0.008823388,0.10251509,0.00008977576],"about_ca_topic_score_codex":0.00027238618,"about_ca_topic_score_gemma":0.00057328487,"teacher_disagreement_score":0.0015386187,"about_ca_system_score_codex":0.00020182265,"about_ca_system_score_gemma":0.0001824682,"threshold_uncertainty_score":0.005147159},"labels":[],"label_agreement":null},{"id":"W2889658962","doi":"10.1115/1.4041493","title":"Application of Jets and Vortex Generators to Improve Air-Cooling and Temperature Uniformity in a Simple Battery Pack","year":2018,"lang":"en","type":"article","venue":"Journal of Thermal Science and Engineering Applications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery pack; Vortex generator; Computational fluid dynamics; Materials science; Vortex; Battery (electricity); Mechanics; Wingtip device; Air cooling; Inlet; Jet (fluid); Power (physics); Nuclear engineering; Mechanical engineering; Thermodynamics; Aerodynamics; Physics; Engineering","score_opus":0.005676097589049489,"score_gpt":0.24612535511136283,"score_spread":0.24044925752231333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889658962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86570793,0.00072511996,0.13166155,0.0000600326,0.00014126395,0.00008196919,0.00004381064,0.00028904437,0.0012892557],"genre_scores_gemma":[0.96470124,0.00021624636,0.033856146,0.000024145531,0.000019325416,0.000029972041,0.000038066835,0.000032139975,0.001082728],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999019,0.000016775562,0.000010011397,0.000019242378,0.000038169776,0.000013912736],"domain_scores_gemma":[0.9998062,0.000047435627,0.00004363607,0.00003139699,0.000054609478,0.000016800263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024517492,0.00021860257,0.0003011766,0.00036659863,0.00014723437,0.00034197184,0.00033160567,0.00015887192,0.0004349874],"category_scores_gemma":[0.00041076358,0.00016605019,0.00018100117,0.00019774232,0.00022631847,0.00044939792,0.0002939375,0.00019716905,0.00011291188],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027151324,0.00009277159,0.0026750364,0.0002350574,0.00002281876,0.00014061107,0.00011347149,0.0062646116,0.94300866,0.0012052886,0.0002666172,0.04570363],"study_design_scores_gemma":[0.000047056445,0.00077372603,0.0035793195,0.000018644538,0.00003551363,0.00015184257,0.000039578703,0.044494253,0.9461728,0.00018812511,0.004482256,0.000016928094],"about_ca_topic_score_codex":0.0001670416,"about_ca_topic_score_gemma":0.00045032887,"teacher_disagreement_score":0.0004349874,"about_ca_system_score_codex":0.0001394123,"about_ca_system_score_gemma":0.00018706165,"threshold_uncertainty_score":0.0014551878},"labels":[],"label_agreement":null},{"id":"W2889898207","doi":"10.3390/wevj8041020","title":"Implementation of an Adjustable Target Modulation Index for a Variable DC Voltage Control in an Electric Delivery Truck","year":2016,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Drivetrain; Modulation index; Automotive engineering; Voltage; Duty cycle; Battery (electricity); Truck; Electric vehicle; Modulation (music); Torque; Energy consumption; Control theory (sociology); Computer science; Engineering; Electrical engineering; Pulse-width modulation; Power (physics); Control (management); Physics","score_opus":0.009253256017954757,"score_gpt":0.2666727591915042,"score_spread":0.25741950317354945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889898207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51763994,0.0004376436,0.4634205,0.00021577565,0.0002204512,0.00023802667,0.00010531902,0.0012059781,0.016516354],"genre_scores_gemma":[0.9785185,0.00005154703,0.019541066,0.00002949119,0.000015779762,0.000032189422,0.00003180682,0.00001853691,0.0017610793],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981135,0.000018272833,0.00001994305,0.000044649547,0.00008195512,0.000023901552],"domain_scores_gemma":[0.9998907,0.000016279639,0.000022910268,0.000015144626,0.000045124933,0.000009785064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001720745,0.0002537697,0.00019931022,0.0003128114,0.00019771235,0.00051650754,0.0007596807,0.00025543763,0.0013155306],"category_scores_gemma":[0.00024302631,0.00008902242,0.0001675666,0.00022315876,0.00016862477,0.00035883358,0.00022832853,0.00029429197,0.00026030428],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008178925,0.0003823179,0.003222101,0.00034105466,0.000045200028,0.00023695636,0.000266405,0.014560424,0.6854021,0.0041126767,0.0011866386,0.2894263],"study_design_scores_gemma":[0.00021797138,0.0038606646,0.011394464,0.000050423892,0.00010564742,0.0006050279,0.00016628328,0.32564765,0.6259684,0.0012097592,0.030680384,0.00009332434],"about_ca_topic_score_codex":0.00072053995,"about_ca_topic_score_gemma":0.0008711776,"teacher_disagreement_score":0.0013155306,"about_ca_system_score_codex":0.0002452951,"about_ca_system_score_gemma":0.00015814265,"threshold_uncertainty_score":0.004400909},"labels":[],"label_agreement":null},{"id":"W2891385036","doi":"10.1109/mele.2018.2849918","title":"Elements of a Robust Battery-Management System: From Fast Characterization to Universality and More","year":2018,"lang":"en","type":"article","venue":"IEEE Electrification Magazine","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Battery (electricity); Battery pack; State of health; Voltage; Waveform; Universality (dynamical systems); State of charge; Electrical engineering; Computer science; Reliability engineering; Engineering; Automotive engineering; Electronic engineering; Physics; Power (physics)","score_opus":0.014143794685711945,"score_gpt":0.24405006366136486,"score_spread":0.22990626897565292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891385036","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04296092,0.0057032774,0.92677575,0.0019637202,0.00025165672,0.00023127455,0.00021850847,0.0034189734,0.01847587],"genre_scores_gemma":[0.6653298,0.0037826516,0.31895673,0.0007690961,0.00039595907,0.00029814482,0.0003904859,0.0005824519,0.009494684],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99861276,0.00018555751,0.000101520745,0.00023944552,0.0007932995,0.000067308516],"domain_scores_gemma":[0.9985006,0.00025213527,0.00016013093,0.00043452205,0.00057110144,0.00008153052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012667635,0.00079566095,0.00073770375,0.0010112604,0.00045881822,0.0025629825,0.0013897966,0.0010705303,0.0024378817],"category_scores_gemma":[0.002781253,0.0005455015,0.00028069064,0.00051176426,0.0012713337,0.004903237,0.0019665146,0.0009468352,0.0015850329],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045258465,0.00015094537,0.006805089,0.00084005465,0.00011918599,0.00037788128,0.0008146501,0.04299434,0.23992041,0.09260293,0.0066923243,0.60822964],"study_design_scores_gemma":[0.00009093963,0.0015369968,0.011716419,0.00084690965,0.000261651,0.0019065402,0.0007077076,0.3172706,0.2680047,0.15115665,0.24609868,0.00040225388],"about_ca_topic_score_codex":0.00050947134,"about_ca_topic_score_gemma":0.0003325434,"teacher_disagreement_score":0.0025629825,"about_ca_system_score_codex":0.00053720316,"about_ca_system_score_gemma":0.00057055516,"threshold_uncertainty_score":0.008155525},"labels":[],"label_agreement":null},{"id":"W2892555879","doi":"10.3390/en11102550","title":"Cooling Performance Characteristics of 20 Ah Lithium-Ion Pouch Cell with Cold Plates along Both Surfaces","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Research Foundation of Korea; National Research Foundation","keywords":"Coolant; Pouch; Materials science; Pressure drop; Lithium (medication); Volumetric flow rate; Inlet; Water cooling; Mass flow rate; Chemistry; Mass flow; Thermodynamics; Nuclear engineering; Analytical Chemistry (journal); Mechanical engineering; Chromatography","score_opus":0.009022195420193458,"score_gpt":0.21575628751114392,"score_spread":0.20673409209095048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892555879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99770916,0.00023712325,0.001090613,0.000036722915,0.00003034969,0.000008238465,0.00012656853,0.00006821983,0.0006930917],"genre_scores_gemma":[0.9969441,0.00016962712,0.0013321482,0.000020534504,0.0000098670525,0.000021285861,0.00020198215,0.00001609899,0.0012842062],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996742,0.00002065909,0.000023991923,0.00006357406,0.00015053412,0.000067107896],"domain_scores_gemma":[0.99940455,0.000112287315,0.0000911435,0.00005409996,0.0002957062,0.000042208696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002683055,0.00042836706,0.0005079795,0.0004133021,0.00038797178,0.00041875517,0.00063114293,0.00052496,0.0017647309],"category_scores_gemma":[0.0006185038,0.0001654168,0.00031057824,0.0005298667,0.00043770127,0.00053829,0.00030933385,0.00033231615,0.00032836568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009365531,0.000052147392,0.004097967,0.00016307246,0.000018613933,0.00023342908,0.00017897577,0.004085191,0.9822556,0.00022669083,0.0004415656,0.007310227],"study_design_scores_gemma":[0.000048973776,0.0014634889,0.0137169715,0.000018695695,0.000058699185,0.00021302086,0.00030651814,0.021186842,0.9602548,0.00006538208,0.0026018955,0.00006468466],"about_ca_topic_score_codex":0.001702969,"about_ca_topic_score_gemma":0.0017642515,"teacher_disagreement_score":0.0017647309,"about_ca_system_score_codex":0.00027948312,"about_ca_system_score_gemma":0.0003162798,"threshold_uncertainty_score":0.0059036613},"labels":[],"label_agreement":null},{"id":"W2895267737","doi":"10.5539/jas.v10n11p280","title":"Effect of Hydroxy (HHO) Gas Injection in a Gasoline Electric Generator for Rural Areas","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Gasoline; Petrol engine; Exhaust gas; Automotive engineering; Environmental science; Gasoline direct injection; Engineering; Waste management; Internal combustion engine","score_opus":0.005938519326958573,"score_gpt":0.26301111924321646,"score_spread":0.2570725999162579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895267737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988224,0.00017375188,0.00060012145,0.0000134319525,0.0000056037156,0.000009999206,0.000019371326,0.00002118682,0.00033410612],"genre_scores_gemma":[0.9984535,0.00019332646,0.00068486115,0.000013390917,0.000002371289,0.0000045173556,0.000021232767,0.000007318001,0.00061946915],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999032,0.000025487521,0.0000049549676,0.000024013834,0.000025190004,0.000017182254],"domain_scores_gemma":[0.99986017,0.000050981962,0.000029345327,0.000007667094,0.000035291447,0.000016571432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014274212,0.00025182008,0.00022684668,0.00019041296,0.00012763911,0.00027180012,0.00024923705,0.00027263063,0.0011756797],"category_scores_gemma":[0.00029985124,0.00010545914,0.00022015249,0.0001568127,0.00019146636,0.0003045523,0.00018625276,0.00015884358,0.00016510669],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037228703,0.00057709904,0.0075912876,0.0003332573,0.00004727788,0.00037766347,0.00015416768,0.001833195,0.9663656,0.000060611652,0.000058341153,0.018878696],"study_design_scores_gemma":[0.000094609095,0.008158653,0.026044171,0.000017217375,0.00014152561,0.00021784728,0.0006126771,0.0032723607,0.959338,0.000067843364,0.002013352,0.000021688282],"about_ca_topic_score_codex":0.0010256192,"about_ca_topic_score_gemma":0.0018323113,"teacher_disagreement_score":0.0011756797,"about_ca_system_score_codex":0.0001153319,"about_ca_system_score_gemma":0.00015208653,"threshold_uncertainty_score":0.0039330125},"labels":[],"label_agreement":null},{"id":"W2896030347","doi":"10.1109/ivs.2018.8500629","title":"Multi-objective Optimal Sizing and Real-time Control of Hybrid Energy Storage Systems for Electric Vehicles","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sizing; Energy storage; Computer science; Control (management); Automotive engineering; Control engineering; Engineering; Power (physics)","score_opus":0.0105961576607529,"score_gpt":0.2465429327290675,"score_spread":0.2359467750683146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896030347","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.106359385,0.0007256933,0.88209814,0.00027405343,0.000065889275,0.00015221545,0.00009108733,0.000292572,0.0099410415],"genre_scores_gemma":[0.97336257,0.00013387193,0.024573646,0.000031076845,0.000011772289,0.000105071966,0.00004019039,0.000013898795,0.0017279987],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997309,0.00010249134,0.00001313722,0.000043805812,0.000069308124,0.00004037513],"domain_scores_gemma":[0.9996394,0.00018205451,0.00008152603,0.0000135297805,0.000064689266,0.000018761073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008661349,0.00087816414,0.00062352384,0.0004277935,0.0002932817,0.0011835706,0.00056488626,0.00051336037,0.0013815206],"category_scores_gemma":[0.0008544208,0.00044920473,0.000491885,0.00035234488,0.00043589433,0.0004728747,0.0005337801,0.00048938784,0.00013913885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033286717,0.000023648316,0.00011884108,0.00004066012,0.000020914174,0.000016880715,0.000017140888,0.9880304,0.0014278186,0.0013058414,0.00013108898,0.008833515],"study_design_scores_gemma":[0.000006145715,0.000034195178,0.00007987255,0.0000026548096,0.0000053648937,0.0000024710055,0.0000060341727,0.9990263,0.00034279304,0.00036229822,0.00013007793,0.0000017761919],"about_ca_topic_score_codex":0.0036113895,"about_ca_topic_score_gemma":0.0039933324,"teacher_disagreement_score":0.0036113895,"about_ca_system_score_codex":0.0007523775,"about_ca_system_score_gemma":0.000845436,"threshold_uncertainty_score":0.0071807504},"labels":[],"label_agreement":null},{"id":"W2896438889","doi":"10.3390/en11102699","title":"Optimization of Hybrid Energy Storage Systems for Vehicles with Dynamic On-Off Power Loads Using a Nested Formulation","year":2018,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Optimization problem; Computer science; Energy storage; Power (physics); Computation; Battery (electricity); Energy management; Minification; Mathematical optimization; Engineering; Energy (signal processing); Mathematics; Algorithm","score_opus":0.011791990320029403,"score_gpt":0.25036319057752743,"score_spread":0.23857120025749803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896438889","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02177043,0.00032466953,0.9694392,0.00015212457,0.000032943703,0.000056656078,0.00009146256,0.000103501094,0.008029022],"genre_scores_gemma":[0.8435109,0.00052642,0.14457317,0.00011235956,0.000038112325,0.0003377517,0.00024958074,0.00011292698,0.010538718],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999795,0.00007347852,0.000007969884,0.00003517947,0.00006571325,0.000022686816],"domain_scores_gemma":[0.9997948,0.0001188434,0.000022807468,0.0000116556275,0.00003889617,0.000013160645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005656904,0.0008190126,0.000755753,0.0002564535,0.00021640184,0.0008876641,0.0005073311,0.00067226053,0.0020881074],"category_scores_gemma":[0.00080656,0.0005195304,0.00068662217,0.00026716854,0.00056612166,0.0008440402,0.00087917683,0.00070842274,0.00024764455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011709898,0.000008551088,0.00008870987,0.000031903193,0.0000107320775,0.000020884667,0.000015059758,0.99059814,0.000880006,0.0051720724,0.00013569082,0.0030264868],"study_design_scores_gemma":[0.0000031306477,0.000014647263,0.000040555013,0.0000029321807,0.0000030898016,0.000003649363,0.0000076254987,0.9976406,0.00019013762,0.0017431902,0.00034861692,0.0000017940375],"about_ca_topic_score_codex":0.003174502,"about_ca_topic_score_gemma":0.0036236423,"teacher_disagreement_score":0.003174502,"about_ca_system_score_codex":0.00058372563,"about_ca_system_score_gemma":0.0008549434,"threshold_uncertainty_score":0.0069853663},"labels":[],"label_agreement":null},{"id":"W2896810009","doi":"10.1109/sege.2018.8499462","title":"An Assessment of Batteries form Battery Electric Vehicle Perspectives","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Electric vehicle; Battery (electricity); Automotive engineering; Automotive battery; Lead–acid battery; Electric-vehicle battery; Electrical engineering; Capacitor; Battery electric vehicle; Driving range; Electric motor; Traction motor; Computer science; Engineering; Voltage; Power (physics)","score_opus":0.013532332247783113,"score_gpt":0.32734843428579663,"score_spread":0.3138161020380135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896810009","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014220283,0.4292316,0.035096355,0.018692927,0.0040337215,0.0001219193,0.0011029138,0.00025865214,0.49724153],"genre_scores_gemma":[0.19497396,0.59080094,0.01839853,0.005734402,0.0022939984,0.00017072725,0.0015104127,0.00024482104,0.18587223],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998847,0.00017004588,0.00006591921,0.00012965297,0.00070972764,0.00007763841],"domain_scores_gemma":[0.99838495,0.00036469783,0.00007085498,0.00006008741,0.0010622992,0.000057085643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010090498,0.0006623341,0.00045591829,0.0024701497,0.0006242918,0.0038780277,0.00097025285,0.0014297453,0.0114888],"category_scores_gemma":[0.0019282565,0.00023691134,0.0005019662,0.0025780494,0.00065595633,0.0062238574,0.0011914218,0.0012795994,0.0047143446],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010990616,0.00006556716,0.0029837042,0.0028874613,0.00005887551,0.00048878614,0.0005368051,0.0030001935,0.004134532,0.39986145,0.056430653,0.529442],"study_design_scores_gemma":[0.0000025029783,0.00008268499,0.0010452212,0.00080962665,0.000017088823,0.0006104989,0.0005561339,0.0007701405,0.0016711009,0.031807423,0.96260655,0.000021073865],"about_ca_topic_score_codex":0.0019212224,"about_ca_topic_score_gemma":0.002130642,"teacher_disagreement_score":0.0114888,"about_ca_system_score_codex":0.0018024214,"about_ca_system_score_gemma":0.0012070724,"threshold_uncertainty_score":0.03843385},"labels":[],"label_agreement":null},{"id":"W2896979702","doi":"10.1109/tia.2018.2874588","title":"A Compact Methodology Via a Recurrent Neural Network for Accurate Equivalent Circuit Type Modeling of Lithium-Ion Batteries","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Recurrent neural network; Battery (electricity); Equivalent circuit; Computer science; Control theory (sociology); Artificial neural network; Power (physics); Electronic engineering; Algorithm; Control engineering; Engineering; Artificial intelligence; Electrical engineering; Voltage","score_opus":0.17947839281037617,"score_gpt":0.37667216538482545,"score_spread":0.19719377257444928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896979702","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012628486,0.00027595146,0.98309314,0.000066694076,0.000025131789,0.000035070378,0.000074090225,0.00075242587,0.003049056],"genre_scores_gemma":[0.79796636,0.0005663716,0.1948605,0.00007596774,0.000033566408,0.00025660737,0.00029569204,0.00017066924,0.0057742745],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986243,0.00003685078,0.000009288069,0.000025041818,0.000055440836,0.000010907852],"domain_scores_gemma":[0.99986124,0.000052466447,0.000019211378,0.000025396823,0.000036813224,0.000004871732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033000892,0.00073658227,0.0004398471,0.0002641283,0.00019272724,0.00043367225,0.0009800975,0.0005243409,0.0018482078],"category_scores_gemma":[0.0006757714,0.00030724588,0.00052344205,0.00020313237,0.00028521186,0.0009707739,0.00033890852,0.0006604544,0.00045304382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021723386,0.000018508945,0.00022318758,0.00007067677,0.000023554012,0.000071798604,0.000031034804,0.9539842,0.012185013,0.007429189,0.0003788913,0.025562163],"study_design_scores_gemma":[0.0000011779828,0.0000131305305,0.000028626784,0.0000022351733,0.0000031062955,0.000010105523,0.000001787881,0.99797136,0.0009984085,0.0006165529,0.0003513822,0.0000019893396],"about_ca_topic_score_codex":0.0038091962,"about_ca_topic_score_gemma":0.0052059246,"teacher_disagreement_score":0.0038091962,"about_ca_system_score_codex":0.0004457089,"about_ca_system_score_gemma":0.0005241458,"threshold_uncertainty_score":0.007574022},"labels":[],"label_agreement":null},{"id":"W2897080808","doi":"10.1016/j.ifacol.2018.09.347","title":"State of Health Estimation for Lithium-Ion Batteries","year":2018,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"State of health; Battery (electricity); State of charge; Lithium-ion battery; Lithium (medication); Computer science; Reliability engineering; Internal resistance; Automotive engineering; Engineering; Power (physics); Medicine; Physics; Thermodynamics","score_opus":0.026409012575414777,"score_gpt":0.31906628963106703,"score_spread":0.29265727705565225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897080808","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0903759,0.0012506963,0.9045796,0.00018644876,0.000043184446,0.000056656005,0.000362856,0.00084882404,0.0022958498],"genre_scores_gemma":[0.981994,0.00057698967,0.015676832,0.000033931876,0.000033557997,0.00005358319,0.00040145393,0.000017449216,0.0012120669],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998099,0.00005040907,0.000014541978,0.000053315962,0.000051875875,0.000019994019],"domain_scores_gemma":[0.9993629,0.00037933467,0.00008314373,0.0000416892,0.00011738963,0.000015558266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004432677,0.0006797946,0.00056394405,0.0006460888,0.00021062505,0.0006721888,0.00059255486,0.0005892939,0.0009823664],"category_scores_gemma":[0.0028921433,0.00022781815,0.0003959334,0.00046645553,0.00027561423,0.0008837277,0.0004653,0.00043215745,0.00022451396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112625195,0.000044855384,0.0064752884,0.00012928944,0.00005182842,0.000056651064,0.00006805879,0.9151198,0.003395262,0.0034405238,0.0007553677,0.070350386],"study_design_scores_gemma":[0.0000015152931,0.00001427549,0.00065311324,0.000004891855,0.0000057908464,0.000012195833,0.0000071187405,0.99718565,0.00064448465,0.0013300721,0.0001348497,0.000005891757],"about_ca_topic_score_codex":0.005772357,"about_ca_topic_score_gemma":0.0029332151,"teacher_disagreement_score":0.005772357,"about_ca_system_score_codex":0.0004972199,"about_ca_system_score_gemma":0.00032970292,"threshold_uncertainty_score":0.01147753},"labels":[],"label_agreement":null},{"id":"W2898380208","doi":"10.1155/2018/8705363","title":"Estimation and Fault Diagnosis of Lithium-Ion Batteries: A Fractional-Order System Approach","year":2018,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Government of Shandong Province; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Observer (physics); Control theory (sociology); Estimator; Fault (geology); Fault detection and isolation; Mode (computer interface); State observer; State (computer science); Computer science; Engineering; Control engineering; Algorithm; Mathematics; Control (management); Statistics; Nonlinear system; Artificial intelligence","score_opus":0.015907252275773796,"score_gpt":0.24890415543859193,"score_spread":0.23299690316281813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898380208","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028155793,0.0007669736,0.96834904,0.00017067979,0.00004754451,0.000024931756,0.000016913875,0.00016203125,0.0023061482],"genre_scores_gemma":[0.9581671,0.0007877387,0.038913578,0.000055654607,0.000041214447,0.000049323426,0.000034430675,0.00001226643,0.0019387141],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984026,0.000033931305,0.000015006149,0.00003943434,0.000052587573,0.000018765058],"domain_scores_gemma":[0.99967384,0.00017060575,0.000071692295,0.000020007128,0.00005612958,0.000007742326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032939564,0.00046524385,0.0004868878,0.00039660296,0.00040915108,0.0006723644,0.0004386538,0.00073591917,0.00069719506],"category_scores_gemma":[0.0012080341,0.00018771901,0.0004062881,0.0002882465,0.00049091515,0.0006398055,0.00033525296,0.00054713653,0.00007994906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014710387,0.00006118415,0.0018342945,0.000370077,0.000070912145,0.0003506389,0.00048877706,0.84743524,0.028268736,0.035633404,0.00046328167,0.084876336],"study_design_scores_gemma":[0.0000053410754,0.00004330732,0.00028547226,0.000012112321,0.0000146255,0.000037203863,0.000020791864,0.9921989,0.0019287285,0.0047199605,0.0007242368,0.000009307266],"about_ca_topic_score_codex":0.004611463,"about_ca_topic_score_gemma":0.0021041627,"teacher_disagreement_score":0.004611463,"about_ca_system_score_codex":0.00053218997,"about_ca_system_score_gemma":0.00045700738,"threshold_uncertainty_score":0.009169221},"labels":[],"label_agreement":null},{"id":"W2899146640","doi":"10.23919/ipec.2018.8507547","title":"On-board Single-Phase Electric Vehicle Charger with Active Front End","year":2018,"lang":"en","type":"article","venue":"2018 International Power Electronics Conference (IPEC-Niigata 2018 -ECCE Asia)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Drivetrain; Inverter; Automotive engineering; AC power; Electric vehicle; Electrical engineering; Traction motor; Three-phase; Harmonic; Computer science; Voltage; Power (physics); Torque; Engineering; Physics","score_opus":0.01967248686505035,"score_gpt":0.2810447361810654,"score_spread":0.26137224931601505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899146640","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34775853,0.0007351493,0.587717,0.00038390493,0.00048642495,0.0006064942,0.00063732977,0.011363522,0.050311644],"genre_scores_gemma":[0.96744007,0.00013983858,0.016856635,0.000098022625,0.000047901747,0.00006156322,0.00017738571,0.00006964169,0.015108986],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996859,0.00004361135,0.000017457329,0.000064379376,0.00014797578,0.000040697963],"domain_scores_gemma":[0.9997887,0.000033802462,0.000029846675,0.000046296613,0.000080357866,0.000021034695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018076765,0.00048672283,0.00066081766,0.00037188162,0.00037013475,0.0007847194,0.0015868518,0.00055870035,0.011868718],"category_scores_gemma":[0.00024988138,0.00018212003,0.00037072023,0.0002900809,0.00018617125,0.00057786977,0.00040385098,0.0004421007,0.0032510695],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018358526,0.0012850146,0.0061342106,0.0011538173,0.00024057963,0.0013886,0.00042585013,0.041170478,0.3113969,0.0069044293,0.018778635,0.60928565],"study_design_scores_gemma":[0.0006389628,0.005035045,0.009895842,0.000111061396,0.00028610366,0.0045047635,0.00017587915,0.6717746,0.2338526,0.0035318476,0.07008837,0.00010493524],"about_ca_topic_score_codex":0.00079212233,"about_ca_topic_score_gemma":0.0011716807,"teacher_disagreement_score":0.011868718,"about_ca_system_score_codex":0.00022350541,"about_ca_system_score_gemma":0.00029676408,"threshold_uncertainty_score":0.0397048},"labels":[],"label_agreement":null},{"id":"W2899855224","doi":"10.1142/s0218213018500367","title":"Extreme Learning Machine Based Prognostics of Battery Life","year":2018,"lang":"en","type":"article","venue":"International Journal of Artificial Intelligence Tools","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Prognostics; Computer science; Scheme (mathematics); Battery (electricity); Battery capacity; Reliability engineering; Machine learning; Artificial intelligence; Data mining; Power (physics); Engineering","score_opus":0.09764378198985696,"score_gpt":0.3357326117525108,"score_spread":0.23808882976265383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899855224","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049413495,0.00047466392,0.94757503,0.00012371274,0.000059128193,0.000026473084,0.00008852033,0.0007904357,0.0014484476],"genre_scores_gemma":[0.9596858,0.0002532571,0.038878307,0.000045737408,0.00004203758,0.00004067558,0.00015340062,0.000020195317,0.0008805407],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970657,0.000066632536,0.000023552997,0.000055647768,0.00011553645,0.000032003645],"domain_scores_gemma":[0.9993293,0.00033514012,0.00009120976,0.0000627898,0.00015886479,0.000022588554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005986728,0.00054147973,0.00062431226,0.0005088533,0.0002769307,0.00044947307,0.000660168,0.00051572925,0.0007849094],"category_scores_gemma":[0.0028021606,0.00015032683,0.00031323844,0.00039881465,0.0003114654,0.00093751465,0.00061455305,0.0007530829,0.00023028551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015336728,0.00003687476,0.002460764,0.00008492733,0.000028762468,0.000101996804,0.00005538229,0.8605851,0.0049146474,0.0035469588,0.0007044628,0.12732682],"study_design_scores_gemma":[0.0000027462993,0.000028507187,0.00036445988,0.0000042827282,0.0000038686726,0.000019589208,0.0000031988661,0.9962968,0.0011733155,0.001903051,0.00019501016,0.0000051926586],"about_ca_topic_score_codex":0.0009408211,"about_ca_topic_score_gemma":0.0007455156,"teacher_disagreement_score":0.0009408211,"about_ca_system_score_codex":0.00031495938,"about_ca_system_score_gemma":0.00027384775,"threshold_uncertainty_score":0.0031660795},"labels":[],"label_agreement":null},{"id":"W2900517504","doi":"10.1109/tvt.2018.2881057","title":"Real-Time Energy Management of Battery/Supercapacitor Electric Vehicles Based on an Adaptation of Pontryagin's Minimum Principle","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":196,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"European Regional Development Fund; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; European Commission","keywords":"Battery (electricity); Supercapacitor; Context (archaeology); Energy management; Electric vehicle; Automotive engineering; Driving cycle; Engineering; Adaptation (eye); Control engineering; Computer science; Energy (signal processing); Control theory (sociology); Power (physics); Capacitance; Mathematics; Control (management)","score_opus":0.010466879848930044,"score_gpt":0.2438339190746905,"score_spread":0.23336703922576046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900517504","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0537141,0.00046401506,0.93615407,0.00012970463,0.000046482313,0.00007019845,0.000022832695,0.00027905512,0.009119428],"genre_scores_gemma":[0.95983493,0.00019441058,0.037770152,0.000029641653,0.000015092508,0.00007430281,0.000019780578,0.000027684184,0.002034034],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989295,0.0000286225,0.000005850938,0.000018382556,0.000042981475,0.000011106201],"domain_scores_gemma":[0.9999474,0.00002072149,0.000010131995,0.0000061552073,0.000012390053,0.000003206839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002010427,0.00034389616,0.00039652188,0.00016734243,0.0002009277,0.00037298191,0.00060059736,0.00027478562,0.00080590235],"category_scores_gemma":[0.00023882074,0.00012579154,0.00026199417,0.00020531286,0.00027931263,0.0003891352,0.00041099582,0.0003357084,0.00013452374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018572877,0.00010260204,0.00063584413,0.00021174713,0.00006305083,0.0002660967,0.000141487,0.73493147,0.05985725,0.030060636,0.0018008816,0.17174308],"study_design_scores_gemma":[0.000008115051,0.00007117995,0.00015867794,0.0000032702926,0.0000057599073,0.000047215584,0.00000932232,0.9919676,0.0032488173,0.0032506383,0.001222876,0.000006529594],"about_ca_topic_score_codex":0.0005819563,"about_ca_topic_score_gemma":0.0005949399,"teacher_disagreement_score":0.00080590235,"about_ca_system_score_codex":0.00021219326,"about_ca_system_score_gemma":0.00022365103,"threshold_uncertainty_score":0.0026960373},"labels":[],"label_agreement":null},{"id":"W2901061712","doi":"10.25071/10315/35363","title":"Thermal Management of Electrical and Electronic Systems Using PCM","year":2018,"lang":"en","type":"article","venue":"Progress in Canadian Mechanical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Thermal management of electronic devices and systems; Thermal; Computer science; Mechanical engineering; Engineering; Physics; Thermodynamics","score_opus":0.010794471646034205,"score_gpt":0.25021306516459746,"score_spread":0.23941859351856326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901061712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9604134,0.00040843824,0.03430394,0.000049286344,0.000036312304,0.00005628157,0.00007134565,0.0004400895,0.004220943],"genre_scores_gemma":[0.9960737,0.000075859556,0.002826282,0.0000070127153,0.0000054821203,0.000013280536,0.000027892858,0.00001188971,0.0009585652],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998091,0.00003643299,0.000008493732,0.000031344753,0.000082937746,0.000031725154],"domain_scores_gemma":[0.9998865,0.000030037954,0.00001504169,0.000027279277,0.000033067787,0.00000817666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014202864,0.0002222828,0.00019974093,0.00015978754,0.00025997244,0.00029055754,0.00031787375,0.00016014295,0.0017881374],"category_scores_gemma":[0.00034454625,0.00007721212,0.000115183415,0.00022396086,0.00016504624,0.00044853037,0.00021177286,0.00015219417,0.000231608],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040889383,0.00011949664,0.0020821006,0.0002573584,0.000014810996,0.00019224417,0.00013770936,0.0113497935,0.9342584,0.000635444,0.00040372947,0.050140142],"study_design_scores_gemma":[0.000032782147,0.0009884167,0.007878487,0.000013831149,0.00002609964,0.0002311911,0.00011392985,0.05599457,0.9299821,0.00033003627,0.0043959348,0.000012587785],"about_ca_topic_score_codex":0.00037804333,"about_ca_topic_score_gemma":0.000385745,"teacher_disagreement_score":0.0017881374,"about_ca_system_score_codex":0.00016969157,"about_ca_system_score_gemma":0.00012742254,"threshold_uncertainty_score":0.005981922},"labels":[],"label_agreement":null},{"id":"W2901152455","doi":"10.25071/10315/35397","title":"Evaluation Of Energy Efficient Propulsion Technologies For Unmanned Aerial Vehicles","year":2018,"lang":"en","type":"article","venue":"Progress in Canadian Mechanical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Propulsion; Aerospace engineering; Aeronautics; Remotely operated underwater vehicle; Computer science; Automotive engineering; Environmental science; Engineering; Mobile robot; Robot; Artificial intelligence","score_opus":0.02081737247803626,"score_gpt":0.28534114508510444,"score_spread":0.26452377260706816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901152455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9589822,0.0034806237,0.024351913,0.00016800893,0.000106601176,0.00038039178,0.00043161414,0.00009585624,0.012002702],"genre_scores_gemma":[0.98722017,0.0014768098,0.008593807,0.00003485208,0.000010362797,0.00013774542,0.00022964587,0.000020702295,0.002275962],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994863,0.00006957544,0.000026242262,0.00005090141,0.000306576,0.000060387858],"domain_scores_gemma":[0.99965334,0.00009448734,0.000051612056,0.000035625955,0.0001437802,0.000021168682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065759226,0.0004213298,0.0002696475,0.0006626197,0.00030405185,0.00069872994,0.00042548223,0.0004174612,0.0018878919],"category_scores_gemma":[0.0009817497,0.00012390889,0.00025635154,0.00043954616,0.00025239095,0.0012818945,0.0003129304,0.00029704202,0.00034009153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076594146,0.0009161555,0.0040503386,0.001495394,0.00011229261,0.00028614275,0.00016773182,0.12160789,0.7246763,0.007122637,0.0012036817,0.1375955],"study_design_scores_gemma":[0.00016810454,0.009722457,0.013494525,0.00016282579,0.00015253211,0.00020520587,0.00055930763,0.12494393,0.81972724,0.0039091054,0.026893849,0.000060934726],"about_ca_topic_score_codex":0.00069597294,"about_ca_topic_score_gemma":0.0011463811,"teacher_disagreement_score":0.0018878919,"about_ca_system_score_codex":0.000731602,"about_ca_system_score_gemma":0.00034864663,"threshold_uncertainty_score":0.006315589},"labels":[],"label_agreement":null},{"id":"W2901409447","doi":"10.1149/2.0011816jes","title":"Use of Asymmetric Average Charge- and Average Discharge- Voltages as an Indicator of the Onset of Unwanted Lithium Deposition in Lithium-Ion Cells","year":2018,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Lithium (medication); Internal resistance; Deposition (geology); Voltage; Ion; Electrode; Materials science; Chemistry; Analytical Chemistry (journal); Electrical engineering; Battery (electricity); Thermodynamics; Physics; Chromatography","score_opus":0.00944208946684402,"score_gpt":0.24354744883451251,"score_spread":0.2341053593676685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901409447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9393544,0.001677685,0.05467758,0.00008057405,0.00009147806,0.000070654125,0.0004442755,0.00068852445,0.002914825],"genre_scores_gemma":[0.988694,0.00033565183,0.010316205,0.000027440847,0.00001655925,0.000030856812,0.00009017609,0.000028529015,0.00046061503],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999438,0.000052121733,0.000037744387,0.00010753697,0.0003230615,0.000041444808],"domain_scores_gemma":[0.9990809,0.0003641144,0.00020889519,0.000094074225,0.00019417044,0.000057875648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039845819,0.00030170797,0.00035397915,0.0010483764,0.00023486001,0.00049853756,0.00066668575,0.0005039222,0.000707611],"category_scores_gemma":[0.0015606352,0.00019941172,0.00015047785,0.0009024656,0.0003002406,0.00065502553,0.0003370423,0.0005635851,0.00023242185],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043296022,0.0000970488,0.016576791,0.00018610718,0.000028796885,0.00018904984,0.00016428805,0.0011121035,0.9216086,0.0002780231,0.00016771456,0.059158497],"study_design_scores_gemma":[0.000010938513,0.0004935218,0.04994026,0.000014746469,0.00003788646,0.00069550914,0.00010427628,0.015828114,0.93155426,0.00027137718,0.0010123729,0.000036724596],"about_ca_topic_score_codex":0.0003578811,"about_ca_topic_score_gemma":0.0008052341,"teacher_disagreement_score":0.0010483764,"about_ca_system_score_codex":0.00030500416,"about_ca_system_score_gemma":0.00016026302,"threshold_uncertainty_score":0.0023671389},"labels":[],"label_agreement":null},{"id":"W2904654643","doi":"10.1109/ecce.2018.8558326","title":"A Neural Network Energy Management Controller Applied to a Hybrid Energy Storage System using Multi-Source Inverter","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Argonne National Laboratory; Canada Research Chairs","keywords":"Battery (electricity); Duty cycle; Controller (irrigation); Energy storage; Inverter; Energy management; Computer science; Artificial neural network; Supercapacitor; Power (physics); Electrical engineering; Automotive engineering; Engineering; Control theory (sociology); Energy (signal processing); Voltage; Control (management); Chemistry; Physics","score_opus":0.016892750779801707,"score_gpt":0.23338117833272437,"score_spread":0.21648842755292266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904654643","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2071474,0.000957049,0.7610316,0.00044639027,0.000371766,0.00027094028,0.00010629123,0.0018422039,0.027826335],"genre_scores_gemma":[0.974985,0.000105942454,0.021190058,0.00006831723,0.00002143993,0.0000744374,0.000029691206,0.000012561477,0.0035126144],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998988,0.000013269825,0.000008048348,0.000027829565,0.000040612867,0.000011364385],"domain_scores_gemma":[0.9998982,0.000024801002,0.000013477874,0.000008597243,0.000049069098,0.000005850656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020840266,0.0003036269,0.0002650824,0.00016712237,0.00027917605,0.00044581533,0.0005253772,0.0004087895,0.0014064044],"category_scores_gemma":[0.0003337624,0.00011621042,0.0001622219,0.00014885608,0.00015322409,0.00024446484,0.0002195061,0.00037793108,0.00019335895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034340183,0.00027626447,0.0024801635,0.0003114457,0.00012438162,0.00036096788,0.00014017422,0.5970658,0.073705845,0.0031548575,0.0027093203,0.3193273],"study_design_scores_gemma":[0.00002459601,0.00014933002,0.0007615007,0.000010832306,0.00001961986,0.000038961563,0.000008285513,0.9864646,0.010705893,0.00023363811,0.001574294,0.000008511688],"about_ca_topic_score_codex":0.003274646,"about_ca_topic_score_gemma":0.0042458307,"teacher_disagreement_score":0.003274646,"about_ca_system_score_codex":0.00034225508,"about_ca_system_score_gemma":0.00026998448,"threshold_uncertainty_score":0.006511152},"labels":[],"label_agreement":null},{"id":"W2904797988","doi":"10.1109/ecce.2018.8558192","title":"An Integrated Bidirectional Three-Phase AC Charger for Vehicle Applications with Buck-Boost Capability","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Electrical engineering; Computer science; Three-phase; Engineering; Voltage","score_opus":0.02156780891209929,"score_gpt":0.3167532967521991,"score_spread":0.2951854878400998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904797988","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22689886,0.0007578881,0.6843463,0.0003158216,0.0002601949,0.000330345,0.00048029996,0.0056636613,0.08094659],"genre_scores_gemma":[0.94980776,0.00023457127,0.03481665,0.000080418,0.00002503891,0.00005366029,0.00020752868,0.00010407429,0.014670384],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999895,0.000008554548,0.0000037114933,0.000012754518,0.00006664866,0.000013433611],"domain_scores_gemma":[0.99992,0.0000092437385,0.00000836896,0.000013427363,0.000040820734,0.000008211859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000101282516,0.00025428316,0.0002310621,0.00021413324,0.000239516,0.0005289438,0.00074261473,0.00031193584,0.0039865505],"category_scores_gemma":[0.00015764056,0.00013428256,0.00023986014,0.0002270358,0.00011333981,0.0003796436,0.00023113945,0.0004223784,0.0014984552],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004241092,0.00033527124,0.0017590041,0.0007314105,0.000084355976,0.0006337571,0.00033367446,0.026571786,0.6751086,0.019892853,0.0073858295,0.26673937],"study_design_scores_gemma":[0.00019072415,0.0020085997,0.0055585867,0.00008562071,0.00015176018,0.003206282,0.00018044341,0.38455477,0.48618945,0.0062591834,0.111537404,0.00007721492],"about_ca_topic_score_codex":0.0009288936,"about_ca_topic_score_gemma":0.0014299143,"teacher_disagreement_score":0.0039865505,"about_ca_system_score_codex":0.00018664298,"about_ca_system_score_gemma":0.00031527845,"threshold_uncertainty_score":0.013336301},"labels":[],"label_agreement":null},{"id":"W2905118386","doi":"10.1109/ecce.2018.8557729","title":"A Multi-Source Inverter for Electric Drive Vehicles","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Converters; Decoupling (probability); Inductor; Modular design; Capacitor; Energy storage; Inverter; Electric vehicle; Voltage; Battery (electricity); Electrical engineering; Engineering; Computer science; Electronic engineering; Automotive engineering; Power (physics); Control engineering; Physics","score_opus":0.023060326242090774,"score_gpt":0.2797611002643343,"score_spread":0.25670077402224356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905118386","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035479944,0.0018747757,0.91470075,0.0003083951,0.0003481352,0.00033031835,0.00053100963,0.003218363,0.043208305],"genre_scores_gemma":[0.7941269,0.0012261198,0.18169291,0.0001868555,0.00012958232,0.00032582803,0.00056795403,0.000097354314,0.021646477],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990904,0.000009632969,0.0000058198066,0.000020979427,0.000048874546,0.0000056776166],"domain_scores_gemma":[0.99996865,0.0000049917853,0.0000041572193,0.000003583549,0.000015587617,0.0000029582006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005942995,0.00029913484,0.00028712003,0.00032185606,0.00025648795,0.00037576747,0.0005278471,0.00041424544,0.004940814],"category_scores_gemma":[0.000106903266,0.000121841855,0.000250027,0.0004027773,0.00009199337,0.0004229161,0.00022869346,0.00046104103,0.0012398232],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021610541,0.00025310816,0.0009458132,0.0011818213,0.00008958213,0.00067080837,0.00016055946,0.04452058,0.2964227,0.030622704,0.011971877,0.61294436],"study_design_scores_gemma":[0.00015064733,0.0014232635,0.0035019207,0.00018346257,0.00012876779,0.0016608966,0.000061562714,0.63954884,0.10592311,0.014579658,0.23276575,0.00007201764],"about_ca_topic_score_codex":0.00042109634,"about_ca_topic_score_gemma":0.0008149609,"teacher_disagreement_score":0.004940814,"about_ca_system_score_codex":0.00026520627,"about_ca_system_score_gemma":0.00017949972,"threshold_uncertainty_score":0.016528666},"labels":[],"label_agreement":null},{"id":"W2905140103","doi":"10.1109/ciep.2018.8573377","title":"Hybrid Energy Storage Systems for Electric Vehicles: Multi-Source Inverter Topologies","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Internal resistance; Automotive engineering; Converters; Capacitor; Internal combustion engine; Electrical engineering; Voltage drop; Energy storage; Supercapacitor; Inverter; Electric vehicle; Network topology; Computer science; Engineering; Power (physics); Voltage; Battery (electricity); Capacitance","score_opus":0.02354885851131543,"score_gpt":0.26395573411681394,"score_spread":0.2404068756054985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905140103","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.078523345,0.08687654,0.73437124,0.0010727767,0.00074077764,0.00020514398,0.00090646365,0.0018429606,0.09546077],"genre_scores_gemma":[0.87907827,0.023292892,0.07055821,0.00030496952,0.00037723337,0.00017673711,0.000804071,0.00008119915,0.025326408],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9999398,0.0000108386275,0.000005247034,0.000012354784,0.00002764327,0.000004113867],"domain_scores_gemma":[0.99997103,0.000007763247,0.0000048632055,0.0000030924975,0.000011303066,0.000001923823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008110225,0.00027502226,0.00034597775,0.00028103287,0.0001594068,0.0005665462,0.00061466906,0.00040980827,0.00461758],"category_scores_gemma":[0.00009248205,0.00009243074,0.0001856216,0.0007117195,0.000092129085,0.00089694024,0.00028011802,0.00034717828,0.00096175284],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002619787,0.00014894591,0.00064169464,0.002334755,0.00012654166,0.0003378908,0.00019344717,0.045109466,0.08015716,0.04632774,0.014589262,0.80977106],"study_design_scores_gemma":[0.00010957454,0.0009375693,0.0025359977,0.0005403662,0.00015345956,0.0018990875,0.00021089819,0.62154603,0.045746785,0.057774942,0.26847154,0.00007376438],"about_ca_topic_score_codex":0.00015282501,"about_ca_topic_score_gemma":0.00044294097,"teacher_disagreement_score":0.00461758,"about_ca_system_score_codex":0.00018361153,"about_ca_system_score_gemma":0.0000820035,"threshold_uncertainty_score":0.015447319},"labels":[],"label_agreement":null},{"id":"W2905866811","doi":"10.1149/ma2018-02/4/197","title":"(Invited) High-Energy Lithium-Ion Battery Using Substituted LiCoPO<sub>4</sub>: From Coin Type<sub> </sub>to 1Ah Cell","year":2018,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Electrolyte; Materials science; Battery (electricity); Cathode; Electrochemistry; Chemical engineering; Lithium (medication); Lithium-ion battery; Specific energy; Chemistry; Electrode; Physical chemistry","score_opus":0.01793845180312525,"score_gpt":0.2382590943534372,"score_spread":0.22032064255031195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905866811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7691966,0.018731782,0.0799246,0.002413825,0.0018856336,0.00021233942,0.0026611625,0.0063158493,0.11865826],"genre_scores_gemma":[0.93675464,0.0038868922,0.012544339,0.0006787137,0.000097889526,0.000072153955,0.00081801426,0.00009817186,0.04504918],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99995065,0.0000028698705,0.0000032208284,0.000011666141,0.00002291835,0.0000086655555],"domain_scores_gemma":[0.9999764,0.0000015057946,0.0000036471852,0.0000033245774,0.000011775021,0.0000033312517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000045759803,0.00024281206,0.00022337226,0.00024186035,0.00022570582,0.0005556918,0.0005586269,0.00078318315,0.004628378],"category_scores_gemma":[0.00007322013,0.00010035545,0.0002113813,0.00032506775,0.00027855154,0.0007926532,0.00044475205,0.00035618182,0.0026303064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002397598,0.000042413165,0.0009915491,0.0009952335,0.000034935067,0.0010362756,0.00009961493,0.0008749807,0.92644197,0.004680581,0.007519968,0.057042647],"study_design_scores_gemma":[0.000027267193,0.0003090274,0.0020161606,0.00004370486,0.00006889274,0.001612537,0.000094107396,0.005024782,0.9225219,0.0008998831,0.067347676,0.000034068944],"about_ca_topic_score_codex":0.00052999525,"about_ca_topic_score_gemma":0.001172245,"teacher_disagreement_score":0.004628378,"about_ca_system_score_codex":0.00018486263,"about_ca_system_score_gemma":0.0001251314,"threshold_uncertainty_score":0.015483499},"labels":[],"label_agreement":null},{"id":"W2907446757","doi":"10.1109/iecon.2018.8591163","title":"Boost-Cascaded-by-Buck Power Factor Correction Converter for Universal On-Board Battery Charger in Electric Transportation","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Voltage; Battery (electricity); Electrical engineering; Buck converter; Battery charger; Converters; Voltage regulation; Boost converter; Buck–boost converter; Ćuk converter; Power (physics); Engineering; Computer science; Electronic engineering; Physics","score_opus":0.010831622779540768,"score_gpt":0.24469037639875602,"score_spread":0.23385875361921524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907446757","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1871477,0.0047936975,0.75194514,0.00030496015,0.0002803118,0.00025982634,0.00023087746,0.003474302,0.05156321],"genre_scores_gemma":[0.95474195,0.0008063686,0.032215178,0.00005470947,0.000022059241,0.000035090245,0.000095965384,0.000051299157,0.011977366],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999014,0.000010055426,0.000004655934,0.000020578456,0.000049888633,0.000013334978],"domain_scores_gemma":[0.9999573,0.000006694237,0.000005254858,0.000005865478,0.000022196667,0.0000026563232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110049055,0.00025299858,0.0002763428,0.00017939758,0.00026055484,0.00045196977,0.0005496898,0.00027687263,0.0032668079],"category_scores_gemma":[0.00014467948,0.00015298466,0.00026667843,0.0003014659,0.00010775817,0.0004037957,0.00013651258,0.00035965058,0.00070596946],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033427402,0.00022650471,0.0016506487,0.0010680428,0.00008173524,0.00080462795,0.0003432883,0.081585266,0.5445303,0.0131793,0.0059822765,0.35021368],"study_design_scores_gemma":[0.00004679671,0.00073370844,0.003964698,0.00011128468,0.00009466494,0.0013266822,0.00014192401,0.6753976,0.26872498,0.0052642836,0.044131134,0.000062336345],"about_ca_topic_score_codex":0.0018222418,"about_ca_topic_score_gemma":0.0022603697,"teacher_disagreement_score":0.0032668079,"about_ca_system_score_codex":0.00033383176,"about_ca_system_score_gemma":0.00028613163,"threshold_uncertainty_score":0.010928571},"labels":[],"label_agreement":null},{"id":"W2908380638","doi":"10.1109/cjece.2018.2878282","title":"Optimal Asset Expansion in Distribution Networks Considering Battery Nonlinear Characteristics Expansion optimale des actifs dans les réseaux de distribution en tenant compte des caractéristiques non linéaires des batteries","year":2018,"lang":"fr","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Asset (computer security); Asset management; Context (archaeology); Battery (electricity); Energy storage; Computer science; Reliability engineering; Power (physics); Engineering; Economics","score_opus":0.011750691892732455,"score_gpt":0.2341268901034455,"score_spread":0.22237619821071306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908380638","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28475612,0.000797844,0.69841754,0.00047874777,0.000037062295,0.000109412525,0.00014468342,0.00011367948,0.015144797],"genre_scores_gemma":[0.9633231,0.00044913302,0.031659972,0.000029317946,0.000015752143,0.000070594855,0.000060347626,0.00003130895,0.0043605235],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998492,0.000060756032,0.0000034199054,0.00002375316,0.000030648538,0.000032234315],"domain_scores_gemma":[0.9997149,0.00019927752,0.000032949174,0.0000063616644,0.000033215707,0.000013278575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044541433,0.00060590566,0.0005967589,0.00033762213,0.00025285027,0.00086363545,0.00036649188,0.0005510434,0.0016308748],"category_scores_gemma":[0.0010331735,0.00036944766,0.0004167028,0.00045882587,0.00046399471,0.00081796397,0.00035388127,0.0005817639,0.00011659591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011079884,0.0000055940013,0.00014355026,0.000009536949,0.0000029526711,0.000020482861,0.0000073190768,0.99595815,0.00026114352,0.0011221728,0.000069653506,0.0023883532],"study_design_scores_gemma":[0.0000029386824,0.000012246857,0.000096402975,0.000002716671,0.000002872018,0.0000048418024,0.000011360341,0.9987702,0.00017706853,0.00082056475,0.00009720161,0.0000017089],"about_ca_topic_score_codex":0.011440886,"about_ca_topic_score_gemma":0.012242082,"teacher_disagreement_score":0.011440886,"about_ca_system_score_codex":0.0011468143,"about_ca_system_score_gemma":0.0011361013,"threshold_uncertainty_score":0.02274853},"labels":[],"label_agreement":null},{"id":"W2908547192","doi":"10.1109/vppc.2018.8605023","title":"Deep Reinforcement Learning Energy Management System for Multiple Battery Based Electric Vehicles","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Carleton University","funders":"","keywords":"Reinforcement learning; Computer science; Energy management; Controller (irrigation); Battery (electricity); Resource management (computing); State of charge; Resource allocation; Energy (signal processing); Scheme (mathematics); Energy storage; Resource (disambiguation); Distributed computing; Artificial intelligence; Power (physics); Computer network","score_opus":0.012270863787841882,"score_gpt":0.23229047732901156,"score_spread":0.22001961354116967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908547192","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15196067,0.0010199222,0.8326988,0.0009181024,0.00024284792,0.00011592263,0.00014594775,0.002007627,0.010890152],"genre_scores_gemma":[0.9840487,0.00007818823,0.012930338,0.00008847239,0.000014195747,0.000061339284,0.000052053707,0.000011371629,0.0027152307],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988973,0.000015145968,0.0000073086917,0.000032732893,0.000026476475,0.000028591308],"domain_scores_gemma":[0.9998547,0.000040510502,0.000022130645,0.000008643333,0.000055800574,0.00001820155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036103273,0.00044405094,0.0005598942,0.00017582637,0.00030170253,0.0004528342,0.0008889104,0.00054841203,0.0024578425],"category_scores_gemma":[0.00051260274,0.00020942652,0.00026927318,0.00014389731,0.00025075153,0.0003518766,0.0006328751,0.0007120367,0.00025425092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016710177,0.00017877415,0.001651179,0.000080271486,0.00004526645,0.00017176432,0.00006155873,0.8888254,0.0054774634,0.003512639,0.0025739549,0.09725467],"study_design_scores_gemma":[0.00000778635,0.000022535276,0.00008379053,0.000002289713,0.0000033357283,0.000007319609,0.000002411036,0.9987871,0.0003746655,0.00046823698,0.00023854955,0.000002007563],"about_ca_topic_score_codex":0.006834974,"about_ca_topic_score_gemma":0.007536634,"teacher_disagreement_score":0.006834974,"about_ca_system_score_codex":0.00070646184,"about_ca_system_score_gemma":0.00070695183,"threshold_uncertainty_score":0.013590395},"labels":[],"label_agreement":null},{"id":"W2908745414","doi":"","title":"Modélisation de piles Lithium-ion : méthode d'identification et de quantification de paramètres de piles LiFePO4 cylindriques de format 18650","year":2016,"lang":"fr","type":"article","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geology; Geotechnical engineering; Materials science","score_opus":0.02863085004292596,"score_gpt":0.25969546547302097,"score_spread":0.23106461543009502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908745414","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2668139,0.0003929706,0.71493924,0.00023155611,0.0000873719,0.0002912908,0.002297052,0.006367909,0.008578737],"genre_scores_gemma":[0.8424492,0.00046879624,0.14182901,0.000074151845,0.000011837385,0.00063833554,0.002020905,0.0003986636,0.012109126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999703,0.000025501282,0.000012779949,0.00006302996,0.00016917232,0.00002643286],"domain_scores_gemma":[0.99973375,0.00007952401,0.00003362131,0.000041729738,0.00009956641,0.000011861576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038680242,0.0008055188,0.000505914,0.00056556996,0.00044145214,0.0011182091,0.0012494553,0.0011440924,0.0028713222],"category_scores_gemma":[0.00084716524,0.0005230545,0.0008764213,0.0005456642,0.0004533201,0.00071557675,0.00051121553,0.0006578972,0.0012792174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035281575,0.00008473378,0.008529893,0.0005857128,0.00009815202,0.00019357521,0.00029317092,0.7567247,0.17694947,0.0018398952,0.0016765236,0.05267139],"study_design_scores_gemma":[0.000026184704,0.00008990968,0.005161755,0.000022730796,0.000028137667,0.00007389071,0.00009464746,0.9010051,0.08780468,0.00045012927,0.0051886626,0.00005414669],"about_ca_topic_score_codex":0.028511947,"about_ca_topic_score_gemma":0.025329528,"teacher_disagreement_score":0.028511947,"about_ca_system_score_codex":0.0013353678,"about_ca_system_score_gemma":0.0016399348,"threshold_uncertainty_score":0.056691945},"labels":[],"label_agreement":null},{"id":"W2908828937","doi":"10.1149/ma2018-02/58/2133","title":"Structural Change of the Discharge Products in Lithium Sulfur Battery during Storage","year":2018,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Battery (electricity); Crystallinity; X-ray photoelectron spectroscopy; Materials science; Energy storage; Lithium (medication); Cathode; Lithium–sulfur battery; Chemical engineering; Chemistry; Composite material; Physical chemistry; Thermodynamics; Engineering; Physics","score_opus":0.02554484296318215,"score_gpt":0.25455259015734183,"score_spread":0.22900774719415967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908828937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99420315,0.002338514,0.0011615526,0.00005456955,0.000027160537,0.000010608967,0.00060170365,0.00006857184,0.0015340663],"genre_scores_gemma":[0.9973339,0.00057100673,0.0003532188,0.000027490074,0.000008072707,0.000009474863,0.0004211904,0.000011075685,0.0012644868],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998574,0.000006706622,0.000008111036,0.000033681088,0.00007771198,0.000016297363],"domain_scores_gemma":[0.9998957,0.00001828567,0.00003054789,0.0000059192907,0.00003817212,0.0000114091445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000114037415,0.00021939354,0.00020009073,0.00040398206,0.00020194105,0.00026098097,0.00024726093,0.00035026978,0.0013473058],"category_scores_gemma":[0.00022351417,0.00012615515,0.00015536707,0.00043982387,0.00031873406,0.0004997765,0.00013751413,0.00033529673,0.00021640328],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039017835,0.0000390489,0.0055558197,0.00023058757,0.000017325598,0.000564323,0.000338977,0.00062698254,0.9806358,0.00028827376,0.00039048807,0.010922101],"study_design_scores_gemma":[0.000008527943,0.00045252798,0.03716794,0.000015374546,0.000029665041,0.00071808003,0.00032837913,0.0039401236,0.9534196,0.00017370602,0.0037190404,0.000027089809],"about_ca_topic_score_codex":0.000569966,"about_ca_topic_score_gemma":0.000603236,"teacher_disagreement_score":0.0013473058,"about_ca_system_score_codex":0.00021470731,"about_ca_system_score_gemma":0.0000764794,"threshold_uncertainty_score":0.004507184},"labels":[],"label_agreement":null},{"id":"W2909143934","doi":"10.1155/2019/4109148","title":"A Machine Learning Method for Predicting Driving Range of Battery Electric Vehicles","year":2019,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":107,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Gradient boosting; Decision tree; Boosting (machine learning); Residual; Range (aeronautics); Linear regression; Mean squared prediction error; Regression; Computer science; Machine learning; Regression analysis; Battery (electricity); Electric vehicle; Support vector machine; Artificial intelligence; Predictive modelling; Random forest; Engineering; Statistics; Algorithm; Mathematics","score_opus":0.009117288104004197,"score_gpt":0.2744208671625764,"score_spread":0.2653035790585722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909143934","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.066183284,0.0010270631,0.92807394,0.0001715462,0.00016139606,0.000088282184,0.00038823235,0.0014922732,0.0024139506],"genre_scores_gemma":[0.7885119,0.00061526976,0.205871,0.00008598706,0.00010911982,0.00021650216,0.00092073984,0.000058212332,0.003611337],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996923,0.00005534029,0.000020766327,0.000078469726,0.00012756891,0.000025673531],"domain_scores_gemma":[0.9996056,0.00015496594,0.0000377366,0.000020651327,0.00016618903,0.000014759064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004888666,0.00062971574,0.0005633284,0.0012236392,0.00036107266,0.0004182455,0.0006310504,0.00062681723,0.00096648576],"category_scores_gemma":[0.0015967535,0.00020489472,0.0005196151,0.0008934121,0.0001423888,0.0005754678,0.00024933924,0.0006211219,0.00046377012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009764553,0.0001423889,0.008032321,0.00011629116,0.0000809083,0.0001178938,0.000041608087,0.5833697,0.006096299,0.0016920466,0.0027789078,0.397434],"study_design_scores_gemma":[0.0000029947387,0.00001983274,0.0010459456,0.000006246752,0.000006404227,0.000024105238,0.0000043549344,0.99731344,0.00065868016,0.0004794855,0.00043158035,0.000006863398],"about_ca_topic_score_codex":0.0071988334,"about_ca_topic_score_gemma":0.0039001724,"teacher_disagreement_score":0.0071988334,"about_ca_system_score_codex":0.0003414459,"about_ca_system_score_gemma":0.0005881231,"threshold_uncertainty_score":0.014313877},"labels":[],"label_agreement":null},{"id":"W2909461385","doi":"10.1109/epec.2018.8598459","title":"Nonlinear Observer Design for RC Battery Model for Estimating State of Charge &amp; State of Health Based on State-Dependent Riccati Equation","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Riccati equation; Control theory (sociology); Nonlinear system; Observer (physics); Estimator; Extended Kalman filter; State observer; Computer science; Convergence (economics); Kalman filter; State of charge; State of health; Battery (electricity); Mathematics; Artificial intelligence; Power (physics); Control (management); Differential equation; Physics","score_opus":0.13973377488395727,"score_gpt":0.34981573457442666,"score_spread":0.2100819596904694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909461385","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038263106,0.00013895505,0.994445,0.000051159866,0.000034502063,0.000028999946,0.00001914934,0.00016230065,0.0012936263],"genre_scores_gemma":[0.87049484,0.00096792495,0.12159094,0.000105317005,0.000102780345,0.0003810666,0.00026653043,0.000044429788,0.0060462668],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996666,0.000062460356,0.000029518336,0.00011703523,0.000099295634,0.000025085621],"domain_scores_gemma":[0.9996532,0.00009167909,0.00007009331,0.00003499407,0.00014234394,0.000007723397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046387175,0.00059674814,0.0006874924,0.00022496867,0.00022755221,0.000496879,0.00075262267,0.0006001359,0.0013269584],"category_scores_gemma":[0.0009854983,0.00026868845,0.00052063115,0.0002100805,0.00036029762,0.00073446333,0.0004841674,0.0007657763,0.00042178252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020088247,0.00007594652,0.002417026,0.00066428166,0.00011946127,0.0003050517,0.00037482823,0.7798593,0.049688708,0.02136284,0.0024837821,0.1424479],"study_design_scores_gemma":[0.000010552897,0.000054090815,0.00027565524,0.000008566885,0.0000150066735,0.000034923552,0.000010172012,0.9951539,0.0025572192,0.0006801374,0.0011904554,0.000009173098],"about_ca_topic_score_codex":0.004927081,"about_ca_topic_score_gemma":0.003987376,"teacher_disagreement_score":0.004927081,"about_ca_system_score_codex":0.00042638116,"about_ca_system_score_gemma":0.00067027134,"threshold_uncertainty_score":0.009796798},"labels":[],"label_agreement":null},{"id":"W2909850668","doi":"10.1109/vppc.2018.8605031","title":"Lithium-Ion Cell Empirical Efficiency Maps","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Université de Sherbrooke","funders":"","keywords":"Lithium (medication); Ion; Computer science; Materials science; Chemistry; Psychology","score_opus":0.024268925557751553,"score_gpt":0.2989422915856663,"score_spread":0.27467336602791476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909850668","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27601153,0.0012063625,0.67260426,0.00015561836,0.000035935253,0.0002019494,0.0030788234,0.0028783153,0.043827187],"genre_scores_gemma":[0.95898587,0.00065846194,0.03259341,0.00003723886,0.000012202394,0.00018485215,0.0015151494,0.00036342454,0.005649346],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995509,0.00006340794,0.000023975492,0.00008989546,0.00023589395,0.00003593845],"domain_scores_gemma":[0.9990903,0.00038538472,0.00007239017,0.00013749272,0.00030333837,0.000011066383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005545267,0.00064346817,0.0004499796,0.0014555397,0.0001854592,0.0009965972,0.0007706962,0.0004635403,0.003358091],"category_scores_gemma":[0.003566089,0.00022333287,0.00044257502,0.00084328535,0.00033045816,0.0015511999,0.0005005763,0.0004215156,0.001328846],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013143105,0.00010941762,0.008399307,0.00036073293,0.000059189286,0.0001605319,0.00023584759,0.82146347,0.032345064,0.018501518,0.002845226,0.11538825],"study_design_scores_gemma":[0.0000071899203,0.000050284456,0.0041149184,0.000029942661,0.000013481074,0.00014608407,0.00004505308,0.9569682,0.027276292,0.0039581372,0.007358091,0.000032295036],"about_ca_topic_score_codex":0.0012937665,"about_ca_topic_score_gemma":0.00085769966,"teacher_disagreement_score":0.003358091,"about_ca_system_score_codex":0.0006628143,"about_ca_system_score_gemma":0.00022014305,"threshold_uncertainty_score":0.011233926},"labels":[],"label_agreement":null},{"id":"W2910164945","doi":"10.1109/vppc.2018.8604955","title":"Battery Pack Sizing Method - Case Study of an Electric Motorcycle","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Battery pack; Sizing; Battery (electricity); Capacitor; Computer science; Limiting; Automotive engineering; Energy storage; Engineering design process; Voltage; Process (computing); Power (physics); Energy (signal processing); Electrical engineering; Reliability engineering; Engineering; Mechanical engineering","score_opus":0.029937298144855885,"score_gpt":0.34717321127123313,"score_spread":0.3172359131263772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910164945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7296761,0.00058022223,0.2284676,0.00039353815,0.00007894736,0.00080426043,0.0010786663,0.00096153043,0.037959054],"genre_scores_gemma":[0.88034004,0.00025185998,0.106368914,0.000029796984,0.000008252958,0.0003621611,0.00029353227,0.000098756376,0.012246589],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995889,0.00014579078,0.000020851494,0.000054421485,0.00014130001,0.00004865626],"domain_scores_gemma":[0.9994019,0.000335711,0.000030180341,0.00007345285,0.00011425724,0.00004456483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006292741,0.0007715748,0.00050462375,0.0009551352,0.00059095677,0.00084980787,0.001041204,0.0014757456,0.007086219],"category_scores_gemma":[0.0014713206,0.00033639354,0.00067662913,0.0006802434,0.00055087043,0.00061567075,0.000589286,0.00040852884,0.00063561543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061599026,0.0005414176,0.009017497,0.0010828414,0.000091862705,0.008206775,0.0009253403,0.82594377,0.036666095,0.012146346,0.004013233,0.10074877],"study_design_scores_gemma":[0.00017897492,0.0007222305,0.0034671791,0.00008894697,0.00009482923,0.0019078865,0.0011118811,0.92764074,0.042525277,0.0038199038,0.018374836,0.000067257526],"about_ca_topic_score_codex":0.006001155,"about_ca_topic_score_gemma":0.008041323,"teacher_disagreement_score":0.007086219,"about_ca_system_score_codex":0.00072881504,"about_ca_system_score_gemma":0.0005437495,"threshold_uncertainty_score":0.02370578},"labels":[],"label_agreement":null},{"id":"W2910423374","doi":"10.1109/vppc.2018.8604959","title":"Multi-Cell Emulation for Battery Management System Validation","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Emulation; Embedded system; Computer science; Hardware emulation; Battery (electricity); State of charge; Microcontroller; Hardware-in-the-loop simulation; Computer hardware; Field-programmable gate array; Power (physics)","score_opus":0.0286458119608688,"score_gpt":0.28301454660444825,"score_spread":0.25436873464357945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910423374","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16077617,0.00029418324,0.8116996,0.00023430944,0.00027625653,0.0005421617,0.00075945596,0.012714018,0.0127038015],"genre_scores_gemma":[0.9141225,0.00018024984,0.07615791,0.00015738202,0.000026641828,0.00047472527,0.0005918338,0.0007934088,0.0074953306],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994943,0.000117553966,0.000037983253,0.000058093403,0.00023660902,0.000055431366],"domain_scores_gemma":[0.99892634,0.00030802705,0.00007456978,0.00029189044,0.0003615291,0.000037665206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061325525,0.00060426374,0.0003993366,0.0005842185,0.00029200106,0.00054212037,0.0009975386,0.0005132767,0.0086639775],"category_scores_gemma":[0.002085225,0.00016998808,0.0002646854,0.0002674596,0.00024831388,0.00082779984,0.0005971634,0.0006202018,0.0015506387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008642252,0.0005685224,0.007048251,0.0011267494,0.00014354222,0.0010228812,0.0009008306,0.22430271,0.4496643,0.013897084,0.01275021,0.2877107],"study_design_scores_gemma":[0.00008337026,0.0007817774,0.0023225027,0.000058724574,0.000053296804,0.00051093224,0.000085678024,0.41202664,0.5421253,0.0017015735,0.040195826,0.000054408192],"about_ca_topic_score_codex":0.0004910186,"about_ca_topic_score_gemma":0.0005709104,"teacher_disagreement_score":0.0086639775,"about_ca_system_score_codex":0.00043668764,"about_ca_system_score_gemma":0.0004609481,"threshold_uncertainty_score":0.028983891},"labels":[],"label_agreement":null},{"id":"W2911096827","doi":"10.3390/batteries5010014","title":"Design and Analysis of the Use of Re-Purposed Electric Vehicle Batteries for Stationary Energy Storage in Canada","year":2019,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Automotive engineering; Electric vehicle; Electrification; Electric-vehicle battery; Battery pack; Energy storage; Limiting; Computer science; Automotive battery; Electric motor; Electricity; Engineering; Electrical engineering; Mechanical engineering; Power (physics)","score_opus":0.022966479560422887,"score_gpt":0.22420623607962692,"score_spread":0.20123975651920403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911096827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96909493,0.0004563498,0.011696835,0.00018525269,0.000032013904,0.00076473056,0.0012657357,0.00027295487,0.016231203],"genre_scores_gemma":[0.9864748,0.00029359132,0.0045414744,0.000024000956,0.0000021995138,0.00013561531,0.0003623824,0.000019987887,0.008145805],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995161,0.000028366649,0.000019432608,0.000054659842,0.0002936472,0.000087863424],"domain_scores_gemma":[0.9993411,0.00003931018,0.000029293555,0.000025547199,0.0005296207,0.00003507421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004950185,0.00037909677,0.00042598243,0.00044457507,0.00087004906,0.00082158507,0.0016115692,0.00034228512,0.0016002335],"category_scores_gemma":[0.00060182845,0.00021093937,0.00036238084,0.00060524157,0.000555315,0.00042995787,0.00036915738,0.00021321807,0.00035632667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031803607,0.00074957544,0.044743825,0.0020659063,0.0001725438,0.0017544334,0.0012326288,0.321676,0.44971704,0.0068429955,0.007899142,0.15996556],"study_design_scores_gemma":[0.00029998476,0.0060960366,0.06489261,0.00012527977,0.0003902148,0.0004928717,0.002891183,0.2968665,0.5833568,0.0007690933,0.043596275,0.00022319042],"about_ca_topic_score_codex":0.48388293,"about_ca_topic_score_gemma":0.5611898,"teacher_disagreement_score":0.5161171,"about_ca_system_score_codex":0.007973219,"about_ca_system_score_gemma":0.0068980088,"threshold_uncertainty_score":0.9621329},"labels":[],"label_agreement":null},{"id":"W2911954236","doi":"10.1109/mwscas.2018.8623966","title":"Impact Assessment of Electric Vehicle Charging on Distribution Transformers Including State-of-Charge","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"State of charge; Distribution transformer; Electric vehicle; Electrical engineering; Transformer; Automotive engineering; Distribution grid; Voltage; Engineering; Battery (electricity); Physics; Power (physics)","score_opus":0.022670013709756597,"score_gpt":0.34132752880784295,"score_spread":0.3186575150980864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911954236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9776109,0.00025599834,0.016068364,0.000029914527,0.000023170209,0.000041876836,0.0001601957,0.00012742521,0.0056821886],"genre_scores_gemma":[0.99878114,0.00009165102,0.0004786688,0.000004447978,0.000003572657,0.0000031056009,0.00005701138,0.000009235147,0.00057118456],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963355,0.00006939568,0.000010622784,0.000022057298,0.00021600668,0.0000482881],"domain_scores_gemma":[0.99920577,0.0004260314,0.00006273464,0.000052223502,0.00022671143,0.000026592259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003645701,0.00047894238,0.0003766282,0.00041313723,0.00021040524,0.000468671,0.0002768507,0.0002986427,0.0018294819],"category_scores_gemma":[0.0013460245,0.000116726296,0.0003295876,0.00038820872,0.00025608137,0.0006635098,0.00036371057,0.00022523694,0.00021100072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0033505906,0.0003796045,0.058610298,0.0005851092,0.00021985573,0.0015558151,0.00024159523,0.60750514,0.17473517,0.001895858,0.0007556911,0.15016526],"study_design_scores_gemma":[0.000058025184,0.004093045,0.14189042,0.000060608043,0.000491578,0.0015074268,0.0008472482,0.5982916,0.24547759,0.0027891228,0.004413848,0.00007954395],"about_ca_topic_score_codex":0.001903166,"about_ca_topic_score_gemma":0.0018838637,"teacher_disagreement_score":0.001903166,"about_ca_system_score_codex":0.00043535532,"about_ca_system_score_gemma":0.00026354493,"threshold_uncertainty_score":0.006120205},"labels":[],"label_agreement":null},{"id":"W2912042594","doi":"10.1149/ma2018-02/7/480","title":"(Invited) Safety Enhancements for Large Format, High Power, Lithium-Ion Cells and Batteries","year":2018,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"EaglePicher (Canada)","funders":"","keywords":"Battery (electricity); Thermal runaway; Computer science; Heat generation; Flammability; Lithium (medication); Event (particle physics); Automotive engineering; Power (physics); Reliability engineering; Materials science; Engineering","score_opus":0.01152803958996745,"score_gpt":0.256112778856377,"score_spread":0.24458473926640956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912042594","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0091459835,0.040134035,0.009012038,0.15353253,0.40047902,0.000766065,0.0011326772,0.0015666046,0.384231],"genre_scores_gemma":[0.021335164,0.014064788,0.0035007908,0.031073388,0.057904176,0.00026814165,0.00072377606,0.00039429613,0.87073547],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991955,0.00006625973,0.000028711609,0.0001292108,0.00046697215,0.000113356225],"domain_scores_gemma":[0.99882036,0.00014955536,0.000042205113,0.000038930408,0.0007169606,0.00023209603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013179459,0.0008801415,0.0003094958,0.0004299548,0.0010795256,0.0018101697,0.00081981806,0.0038280133,0.043792825],"category_scores_gemma":[0.0015647166,0.00025726165,0.00054615986,0.00026223157,0.0005386236,0.0018920213,0.0007981217,0.0031544978,0.025385235],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098573124,0.000056163346,0.00023535658,0.00019741463,0.000007383754,0.00019639984,0.00007331944,0.00016924042,0.0029725374,0.0016897544,0.9461154,0.048188422],"study_design_scores_gemma":[0.000015791284,0.00006831428,0.00042790343,0.000042643747,0.000006717801,0.000101517406,0.000094914656,0.00016523254,0.0009937707,0.0007714023,0.9973008,0.000011158435],"about_ca_topic_score_codex":0.001777783,"about_ca_topic_score_gemma":0.005867079,"teacher_disagreement_score":0.043792825,"about_ca_system_score_codex":0.0009130995,"about_ca_system_score_gemma":0.001318251,"threshold_uncertainty_score":0.14650154},"labels":[],"label_agreement":null},{"id":"W2912413013","doi":"10.1016/j.rser.2019.01.023","title":"Study of energy storage systems and environmental challenges of batteries","year":2019,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":855,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Energy storage; Battery (electricity); Renewable energy; Compressed air energy storage; Greenhouse gas; Hazardous waste; Environmental impact assessment; Waste management; Fossil fuel; Environmental science; Environmental economics; Engineering; Process engineering; Electrical engineering","score_opus":0.015245341173140615,"score_gpt":0.2308597645450503,"score_spread":0.2156144233719097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912413013","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012254471,0.9563628,0.006272326,0.0065687825,0.0013329817,0.00001802623,0.0000649308,0.000024289748,0.017101394],"genre_scores_gemma":[0.08797963,0.89772636,0.001909907,0.00069784786,0.0016951633,0.000027055608,0.00006766906,0.000016509483,0.0098798545],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99976176,0.000049130904,0.0000150397545,0.00004372611,0.000102922946,0.00002744846],"domain_scores_gemma":[0.9996723,0.00020319462,0.000016615693,0.000012425557,0.000082502724,0.000013058782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005626034,0.000441062,0.0008117982,0.0005670135,0.0004368486,0.0016944566,0.0007248313,0.0014711098,0.0031281568],"category_scores_gemma":[0.00068798126,0.0002412942,0.00041284692,0.0011393782,0.0009854819,0.0033672287,0.0005733723,0.0012254898,0.0006698958],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000174794,0.00029710756,0.0007652197,0.013459482,0.0001556589,0.0003799085,0.0004004048,0.014670334,0.057853594,0.5136882,0.024274457,0.3738808],"study_design_scores_gemma":[0.000032105876,0.00043454708,0.0014740048,0.0015595261,0.00008338583,0.00088835054,0.00078023545,0.014440146,0.027671985,0.19230077,0.760283,0.000051982144],"about_ca_topic_score_codex":0.00082919403,"about_ca_topic_score_gemma":0.00073729816,"teacher_disagreement_score":0.0031281568,"about_ca_system_score_codex":0.00083360035,"about_ca_system_score_gemma":0.00085437327,"threshold_uncertainty_score":0.0104647875},"labels":[],"label_agreement":null},{"id":"W2913655121","doi":"10.1016/j.bpj.2018.11.335","title":"Regulation of Proton Transport in Tetrameric UCP2 by an Intramolecular Salt-Bridge Network","year":2019,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Wilfrid Laurier University","funders":"","keywords":"Salt bridge; Tetramer; Chemistry; Biophysics; Lipid bilayer; Molecular dynamics; Monomer; Proton transport; Mutant; Crystallography; Membrane; Biochemistry; Biology; Computational chemistry","score_opus":0.008294421317327895,"score_gpt":0.24869282323075645,"score_spread":0.24039840191342857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913655121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951095,0.00023474818,0.0035012702,0.00020152953,0.000041039686,0.0000136021345,0.000055510438,0.00007643466,0.0007662965],"genre_scores_gemma":[0.99728763,0.00014146641,0.001584654,0.00007014144,0.000010795199,0.000017724691,0.00011702259,0.000014410843,0.0007561576],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992895,0.000011760547,0.0000065540316,0.000025182222,0.000015808651,0.0000116729],"domain_scores_gemma":[0.999876,0.000019664216,0.000027418893,0.000016321075,0.000015215049,0.000045329405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017191806,0.00017608172,0.00023723954,0.00007248816,0.00023359935,0.00038974205,0.000420648,0.00031666175,0.0012258634],"category_scores_gemma":[0.00029055477,0.00011906786,0.0001521772,0.00010430918,0.00033879123,0.00059372996,0.0003499587,0.0006017657,0.00029955065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026886247,0.000051763564,0.00023464515,0.00003254131,0.000010339639,0.000055934168,0.000032947166,0.0004916629,0.9961708,0.0009796009,0.00014984772,0.0015211119],"study_design_scores_gemma":[0.00010075741,0.00019237823,0.0021008193,0.000009830305,0.000018931432,0.00014530988,0.00005505246,0.03219354,0.9616689,0.0005704362,0.0029239955,0.000020025424],"about_ca_topic_score_codex":0.00038136207,"about_ca_topic_score_gemma":0.00042161488,"teacher_disagreement_score":0.0012258634,"about_ca_system_score_codex":0.00048347493,"about_ca_system_score_gemma":0.00020689498,"threshold_uncertainty_score":0.004100919},"labels":[],"label_agreement":null},{"id":"W2913786084","doi":"10.1145/3308897.3308935","title":"Highlight Talk on Battery Modeling","year":2019,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Suite; Battery (electricity); Computer science; Simple (philosophy); Energy (signal processing); Mathematics; Power (physics)","score_opus":0.06611839818706833,"score_gpt":0.3283395427753586,"score_spread":0.26222114458829027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913786084","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044854213,0.20091024,0.3591402,0.12742907,0.0864784,0.00030869286,0.00257209,0.0046990165,0.21397693],"genre_scores_gemma":[0.096339054,0.25497678,0.080529995,0.051462635,0.065741986,0.00063521654,0.0043088165,0.0039088996,0.4420966],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982955,0.0003445119,0.00009238817,0.00029226023,0.0008340238,0.00014145578],"domain_scores_gemma":[0.9970187,0.0014198729,0.00013094019,0.00032585894,0.0009102746,0.0001943567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025487477,0.0013973495,0.0009550697,0.0016559378,0.0011703728,0.004477168,0.0028482855,0.00350048,0.047660887],"category_scores_gemma":[0.008332642,0.00068997045,0.0013450487,0.002097579,0.0010380533,0.010825662,0.002092694,0.004359736,0.03180855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113264476,0.000058001973,0.00044446153,0.001010072,0.00006076642,0.0002758431,0.00018028257,0.009672696,0.0017250401,0.120308004,0.6835934,0.1825583],"study_design_scores_gemma":[0.000008045052,0.000062709834,0.00016005532,0.0005438016,0.000031729618,0.00042378157,0.000087683096,0.004687809,0.0011155003,0.04572256,0.94711715,0.000039112267],"about_ca_topic_score_codex":0.0017587586,"about_ca_topic_score_gemma":0.0013389521,"teacher_disagreement_score":0.047660887,"about_ca_system_score_codex":0.0018907307,"about_ca_system_score_gemma":0.0010775534,"threshold_uncertainty_score":0.15944153},"labels":[],"label_agreement":null},{"id":"W2915232054","doi":"10.1049/iet-pel.2018.6143","title":"Systematic approach to construct and assess power electronic conversion architectures using graph theory and its application in a fuel cell system","year":2019,"lang":"en","type":"article","venue":"IET Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Fredericton; University of New Brunswick","funders":"","keywords":"Construct (python library); Graph theory; Computer science; Graph; Theoretical computer science; Computer architecture; Distributed computing; Mathematics; Programming language","score_opus":0.0051075746202588574,"score_gpt":0.2236444648439212,"score_spread":0.21853689022366235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915232054","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019264638,0.00024411721,0.9763372,0.00009782868,0.000013059095,0.00021467793,0.00006606201,0.00021387707,0.003548502],"genre_scores_gemma":[0.25330463,0.0004303017,0.7447825,0.000028773075,0.000010573521,0.00027918193,0.00019064627,0.000059849397,0.0009136367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99796677,0.000981273,0.00008848291,0.0001923363,0.0007053845,0.00006574107],"domain_scores_gemma":[0.99800557,0.0010414416,0.00019552412,0.00020273747,0.00052159326,0.00003324596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018987238,0.0013277675,0.0004656283,0.004396699,0.0006227202,0.0015523185,0.0007802556,0.00069117657,0.0017371997],"category_scores_gemma":[0.0046084393,0.00045501633,0.00096722966,0.0018736074,0.0010649585,0.0015884595,0.0009427696,0.00079696113,0.00024485931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005364596,0.00012302762,0.002775886,0.00044467297,0.00010082609,0.00015133465,0.00034431927,0.6351635,0.015770206,0.07403874,0.00096385163,0.27007],"study_design_scores_gemma":[0.000019515572,0.00016519042,0.0015743877,0.000095073716,0.000046277026,0.00010215593,0.00018607448,0.9466208,0.00827793,0.03879249,0.0040662,0.00005393877],"about_ca_topic_score_codex":0.004200879,"about_ca_topic_score_gemma":0.00453204,"teacher_disagreement_score":0.004396699,"about_ca_system_score_codex":0.0011315967,"about_ca_system_score_gemma":0.0015414181,"threshold_uncertainty_score":0.010041535},"labels":[],"label_agreement":null},{"id":"W2917063844","doi":"10.1149/2.0411904jes","title":"Application of Artificial Intelligence to State-of-Charge and State-of-Health Estimation of Calendar-Aged Lithium-Ion Pouch Cells","year":2019,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Mean squared error; State of charge; State of health; Artificial neural network; Battery (electricity); Lithium (medication); Lithium-ion battery; Computer science; Control theory (sociology); Simulation; Statistics; Materials science; Artificial intelligence; Mathematics; Control (management); Thermodynamics; Power (physics); Physics; Medicine","score_opus":0.010695935112749706,"score_gpt":0.2773567464609273,"score_spread":0.2666608113481776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917063844","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59978396,0.0012317199,0.39236817,0.00022060426,0.00010991691,0.0000540263,0.00021185323,0.00088414736,0.005135679],"genre_scores_gemma":[0.9830298,0.00017315046,0.016237084,0.00001605413,0.000008499347,0.000015603513,0.00006739551,0.0000062600125,0.00044607397],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988425,0.000027290975,0.000013274049,0.000025764706,0.00003623651,0.00001319426],"domain_scores_gemma":[0.9997112,0.0001357288,0.000037735772,0.000028542288,0.00008108888,0.000005722761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039002005,0.00040603473,0.00026425926,0.0003644083,0.00013982833,0.0003843058,0.00026952976,0.00034689624,0.00033608355],"category_scores_gemma":[0.0012624556,0.00013851192,0.00024839275,0.0003262208,0.00013844643,0.00036451168,0.000192896,0.00033811782,0.00007033263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011233414,0.000083513485,0.009989062,0.000092460046,0.000079676814,0.0001744737,0.0000854149,0.82085246,0.016565342,0.0008382204,0.00038073977,0.15074629],"study_design_scores_gemma":[0.0000016633094,0.00003235929,0.0026867455,0.000004428657,0.000007237307,0.000020506808,0.000008614701,0.9929624,0.0037660196,0.000318952,0.00018440522,0.0000067374185],"about_ca_topic_score_codex":0.002896847,"about_ca_topic_score_gemma":0.0022223566,"teacher_disagreement_score":0.002896847,"about_ca_system_score_codex":0.00025041873,"about_ca_system_score_gemma":0.00023244688,"threshold_uncertainty_score":0.0057599545},"labels":[],"label_agreement":null},{"id":"W2919111299","doi":"10.1149/ma2018-02/58/2132","title":"Improving the Cycling Stability of Sodium Metal Electrode By Making an Sodium-Carbon Composite Electrode","year":2018,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Anode; Electrochemistry; Electrolyte; Materials science; Lithium (medication); Plating (geology); Battery (electricity); Electrode; Metal; Sodium; Chemical engineering; Nanotechnology; Chemistry; Metallurgy","score_opus":0.01569485113851959,"score_gpt":0.2651482906891391,"score_spread":0.2494534395506195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919111299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9610333,0.0053508556,0.022992989,0.0007705819,0.00074326684,0.00015723011,0.00037818102,0.0007383849,0.007835134],"genre_scores_gemma":[0.9665304,0.0019583236,0.025563609,0.00017762298,0.00006551056,0.00009275248,0.00033468637,0.000074747935,0.005202241],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99960154,0.000018459596,0.00004959715,0.00009323949,0.00019620468,0.00004095085],"domain_scores_gemma":[0.9997271,0.00003774583,0.000026424346,0.00002381667,0.00014913242,0.00003581271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031108735,0.00039867876,0.0003493037,0.0006902994,0.0003492113,0.0005171428,0.0008604074,0.00089024415,0.0010936408],"category_scores_gemma":[0.00062563195,0.0003190092,0.00048295007,0.00058752875,0.00020233248,0.0006877312,0.0003296822,0.00057746726,0.00048900594],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005140428,0.000030028263,0.00021833103,0.00014300812,0.0000094876295,0.00010055096,0.000030447169,0.00018878478,0.9899199,0.00022203609,0.0001683101,0.008917766],"study_design_scores_gemma":[0.000007609095,0.00010000674,0.0009221228,0.000006264278,0.000016140548,0.00010296603,0.00001957377,0.0026395791,0.992818,0.000057647652,0.0032960977,0.000014097704],"about_ca_topic_score_codex":0.00089168607,"about_ca_topic_score_gemma":0.002849587,"teacher_disagreement_score":0.0010936408,"about_ca_system_score_codex":0.00028278716,"about_ca_system_score_gemma":0.00028750408,"threshold_uncertainty_score":0.003658533},"labels":[],"label_agreement":null},{"id":"W2919294406","doi":"10.1049/pbpo115e_ch13","title":"DC-based EVs and hybrid EVs","year":2018,"lang":"en","type":"book-chapter","venue":"Institution of Engineering and Technology eBooks","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Converters; Commercialization; Capacitor; Dual (grammatical number); Engineering; Electrical engineering; Power (physics); Inverter; Dual mode; Network topology; Computer science; Power electronics; Electronics; Electronic engineering; Automotive engineering; Computer network; Voltage; Business","score_opus":0.011319830088168345,"score_gpt":0.21530925974726134,"score_spread":0.203989429659093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919294406","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0058301054,0.08357662,0.053154822,0.0011531971,0.004817134,0.00009189825,0.00040010325,0.0006256284,0.85035056],"genre_scores_gemma":[0.07229185,0.07136391,0.02161639,0.0012139312,0.0009406828,0.00009164986,0.0007918888,0.0002997251,0.8313901],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9999249,0.0000059608237,0.0000033130596,0.000018791397,0.0000367863,0.000010212029],"domain_scores_gemma":[0.9999726,0.000006243203,0.0000013112474,0.0000039155802,0.000012098194,0.000003863509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007099449,0.0005265255,0.00033197703,0.00051084143,0.00034623052,0.0011653156,0.00051683775,0.0005749059,0.026175003],"category_scores_gemma":[0.00011268644,0.00018788286,0.00030356093,0.0006835724,0.00027710103,0.0015161054,0.00062368397,0.00087184284,0.009537317],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007447466,0.0000780071,0.00016346283,0.0014405313,0.000031283987,0.0003804303,0.00022875526,0.006532545,0.013784563,0.36877233,0.13011146,0.4784021],"study_design_scores_gemma":[0.000002600079,0.000023511553,0.00010019027,0.00013116619,0.000004211146,0.0003201066,0.00004717832,0.001350766,0.0016004513,0.015101024,0.98131263,0.0000063351977],"about_ca_topic_score_codex":0.0003759006,"about_ca_topic_score_gemma":0.0008041054,"teacher_disagreement_score":0.026175003,"about_ca_system_score_codex":0.0003923721,"about_ca_system_score_gemma":0.00022488074,"threshold_uncertainty_score":0.08756405},"labels":[],"label_agreement":null},{"id":"W2920560441","doi":"10.1109/tia.2019.2902532","title":"Extreme Learning Machine Model for State-of-Charge Estimation of Lithium-Ion Battery Using Gravitational Search Algorithm","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":186,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Universiti Kebangsaan Malaysia; Universiti Tenaga Nasional; Ministry of Higher Education","keywords":"Extreme learning machine; Robustness (evolution); State of charge; Artificial neural network; Computer science; Algorithm; Backpropagation; Generalization; Artificial intelligence; Battery (electricity); Machine learning; Mathematics; Power (physics)","score_opus":0.0482392812873571,"score_gpt":0.3098212689165914,"score_spread":0.2615819876292343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920560441","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01328962,0.00037576846,0.9833688,0.00011446211,0.000034362547,0.000028329605,0.00003419387,0.00021331951,0.0025410908],"genre_scores_gemma":[0.9140292,0.00068499375,0.0789678,0.000099800345,0.000052970412,0.00028459635,0.00019588001,0.00004999036,0.0056347447],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975353,0.00007259223,0.00001702331,0.00005330182,0.000079125166,0.000024438916],"domain_scores_gemma":[0.99976355,0.000096542215,0.00003479908,0.000013569479,0.00008482463,0.000006695212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004991072,0.00073178747,0.00089730637,0.00048622157,0.00035330318,0.0007564815,0.0010300766,0.0008898782,0.0011088855],"category_scores_gemma":[0.0011240104,0.00027269538,0.00072339975,0.00066442735,0.00045674373,0.0008716036,0.00052683876,0.0008330739,0.00027271904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015970105,0.000009251508,0.0004239618,0.000033317963,0.000020930016,0.000031617576,0.000022759827,0.982347,0.0006820516,0.0030028194,0.00026503464,0.013145272],"study_design_scores_gemma":[0.0000013560712,0.0000051385387,0.000055497174,0.0000016210616,0.0000018186499,0.0000046024725,0.0000012408078,0.9991466,0.00008733247,0.0005780314,0.00011470378,0.0000021159694],"about_ca_topic_score_codex":0.0067078145,"about_ca_topic_score_gemma":0.0035075732,"teacher_disagreement_score":0.0067078145,"about_ca_system_score_codex":0.0005308282,"about_ca_system_score_gemma":0.00064401695,"threshold_uncertainty_score":0.013337553},"labels":[],"label_agreement":null},{"id":"W2921018162","doi":"10.1145/3301301","title":"Reconfigurable Battery Systems","year":2019,"lang":"en","type":"article","venue":"ACM Transactions on Design Automation of Electronic Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Battery (electricity); Flexibility (engineering); Network topology; Key (lock); Field-programmable gate array; Embedded system; Battery pack; Scheduling (production processes); Software; Distributed computing; Computer architecture; Computer network; Operating system","score_opus":0.019218295190639993,"score_gpt":0.24179654684621663,"score_spread":0.22257825165557663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921018162","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0688232,0.022384943,0.67541105,0.0014901656,0.0019337517,0.0004004,0.0020343552,0.008123356,0.21939872],"genre_scores_gemma":[0.830093,0.011261868,0.09212065,0.000628186,0.00033831483,0.00034478476,0.001566581,0.0004164033,0.06323012],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978894,0.000027964446,0.000017436067,0.000057264355,0.00007120692,0.00003726721],"domain_scores_gemma":[0.99974483,0.00005245333,0.00002369679,0.00008850415,0.00007080061,0.000019701109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017412611,0.00048465177,0.0005823075,0.0005052386,0.00043374085,0.0012522843,0.0016008164,0.0006283332,0.011270642],"category_scores_gemma":[0.00060331705,0.00024969658,0.00039058694,0.0006927971,0.0003806088,0.0020104484,0.0010016026,0.0005285109,0.0042490736],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004183441,0.000109144334,0.00172784,0.0018886195,0.00019179714,0.00090603554,0.00025983283,0.1525834,0.062187787,0.23173915,0.04024099,0.50774705],"study_design_scores_gemma":[0.000113996495,0.00052817573,0.0012437778,0.0003123008,0.00015339612,0.0023225064,0.00019791513,0.27935028,0.04441044,0.10799137,0.5632269,0.00014887583],"about_ca_topic_score_codex":0.0004849274,"about_ca_topic_score_gemma":0.000658894,"teacher_disagreement_score":0.011270642,"about_ca_system_score_codex":0.0004064336,"about_ca_system_score_gemma":0.00028494117,"threshold_uncertainty_score":0.03770405},"labels":[],"label_agreement":null},{"id":"W2923630316","doi":"10.1109/tvt.2019.2906487","title":"xEV Li-Ion Battery Low-Temperature Effects—Review","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":180,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Battery (electricity); Electric vehicle; Automotive engineering; Lithium-ion battery; Degradation (telecommunications); Reliability engineering; Battery capacity; Computer science; Fade; Lithium (medication); State of charge; Power (physics); Engineering; Electrical engineering; Thermodynamics; Physics","score_opus":0.004488952928083947,"score_gpt":0.22767605701461457,"score_spread":0.22318710408653064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923630316","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006299432,0.99722856,0.0004143706,0.00011352487,0.00015710942,0.0000067663195,0.000029867333,0.0000090812655,0.0014108],"genre_scores_gemma":[0.003732829,0.99476165,0.00028255754,0.00011293537,0.00017511951,0.000009037332,0.000061558785,0.000003531784,0.000860795],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99977785,0.000028334514,0.00003788761,0.000052880896,0.000083075196,0.000019991892],"domain_scores_gemma":[0.999302,0.00030760295,0.0000996945,0.00002027382,0.00024687097,0.0000235195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052050437,0.0007781738,0.00097469136,0.0015507046,0.0002249779,0.001078904,0.0011490455,0.0008658745,0.0030512635],"category_scores_gemma":[0.0008782629,0.00036226926,0.00055846263,0.002355409,0.00030768468,0.0015957883,0.0005871145,0.0006594974,0.0013976071],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014591882,0.000115504845,0.00070731685,0.04257061,0.00019683127,0.00026258428,0.00009006265,0.002709431,0.00374217,0.0050280583,0.017334066,0.9270975],"study_design_scores_gemma":[0.0000150331025,0.0004145717,0.0019620687,0.007957211,0.00045935993,0.0014615444,0.00017377418,0.0012867707,0.0055615855,0.0026384734,0.9780181,0.00005163538],"about_ca_topic_score_codex":0.0013699712,"about_ca_topic_score_gemma":0.0013454766,"teacher_disagreement_score":0.0030512635,"about_ca_system_score_codex":0.0003962823,"about_ca_system_score_gemma":0.00092249614,"threshold_uncertainty_score":0.010207474},"labels":[],"label_agreement":null},{"id":"W2926495653","doi":"10.1016/j.applthermaleng.2019.03.146","title":"Comparison of cooling plate configurations for automotive battery pack thermal management","year":2019,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Coolant; Battery pack; Battery (electricity); Mechanical engineering; Heat transfer; Thermal; Heat generation; Computer simulation; Materials science; Engineering; Mechanics; Simulation; Physics; Thermodynamics","score_opus":0.01484602572605601,"score_gpt":0.2641498756870719,"score_spread":0.24930384996101587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2926495653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9305393,0.0028159148,0.039171714,0.00021016892,0.00031428362,0.0001938356,0.0008300697,0.0011239232,0.024800869],"genre_scores_gemma":[0.98885226,0.000526376,0.0067017805,0.00002941907,0.000018704624,0.000055825032,0.00024130574,0.00009950739,0.0034747908],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969995,0.00006282663,0.000017637976,0.000042241554,0.00010757901,0.00006973401],"domain_scores_gemma":[0.99952936,0.00012576001,0.000029751925,0.00005604375,0.0002320843,0.000026950496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000437841,0.00053573586,0.0005761357,0.000730265,0.0005437477,0.0007768876,0.00117426,0.00048206587,0.0082335435],"category_scores_gemma":[0.0008413683,0.00037438315,0.0003996409,0.00055098254,0.00021157505,0.00082912925,0.00036505086,0.00036607077,0.0014161606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013671912,0.00057746825,0.0133934915,0.0024768608,0.00025679526,0.0005852571,0.0005867497,0.082638696,0.5425348,0.004579781,0.009732359,0.32896578],"study_design_scores_gemma":[0.00054241146,0.00729656,0.055779252,0.0002544424,0.0007411425,0.00077455566,0.0015428407,0.12193099,0.7694844,0.0015902922,0.039833214,0.00022989824],"about_ca_topic_score_codex":0.0012174526,"about_ca_topic_score_gemma":0.0027774547,"teacher_disagreement_score":0.0082335435,"about_ca_system_score_codex":0.00045060564,"about_ca_system_score_gemma":0.00041382428,"threshold_uncertainty_score":0.027543962},"labels":[],"label_agreement":null},{"id":"W2931533931","doi":"10.1155/2019/4531497","title":"Sizing and Dynamic Modeling of a Power System for the MUN Explorer Autonomous Underwater Vehicle Using a Fuel Cell and Batteries","year":2019,"lang":"en","type":"preprint","venue":"Journal of Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Sizing; Battery (electricity); Automotive engineering; Power (physics); Electric power system; Software; Underwater; Electrical engineering; Engineering; Computer science; Operating system","score_opus":0.02630953316677332,"score_gpt":0.25425887779155315,"score_spread":0.22794934462477984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2931533931","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.205379,0.00073033775,0.70574045,0.00062220066,0.000120711054,0.00044185098,0.0014590216,0.0021040707,0.083402425],"genre_scores_gemma":[0.9547318,0.00032883737,0.027135693,0.000054373344,0.000016816406,0.00035648711,0.00035335062,0.000108867214,0.016913721],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991083,0.000018302977,0.0000048070647,0.000021178537,0.000030159588,0.0000147583205],"domain_scores_gemma":[0.9999099,0.000039419036,0.000015130106,0.0000056449253,0.00002434466,0.0000055715036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016266906,0.00055232574,0.0005679931,0.00044811607,0.00066382,0.0010990456,0.0006779724,0.00086871494,0.0071917824],"category_scores_gemma":[0.00026850562,0.000556629,0.00074453047,0.00038425726,0.0003445553,0.00063490827,0.00036187717,0.0005676245,0.00084222615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022426088,0.00001230774,0.00038787682,0.00004003796,0.000011696223,0.00006931451,0.000025235739,0.9917378,0.0020320946,0.00090867025,0.00033629316,0.0044163],"study_design_scores_gemma":[0.0000057510742,0.000016957163,0.00015926764,0.0000038602197,0.0000061795067,0.000010406276,0.0000113889855,0.9984736,0.00045064292,0.00020549764,0.00065308885,0.0000033841145],"about_ca_topic_score_codex":0.020170046,"about_ca_topic_score_gemma":0.016129564,"teacher_disagreement_score":0.020170046,"about_ca_system_score_codex":0.0007835164,"about_ca_system_score_gemma":0.000920567,"threshold_uncertainty_score":0.040105283},"labels":[],"label_agreement":null},{"id":"W2933913730","doi":"10.4271/2019-01-1203","title":"Full Battery Pack Modelling: An Electrical Sub-Model Using an EECM for HEV Applications","year":2019,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast; Department for the Economy","keywords":"Battery (electricity); Battery pack; Automotive engineering; Electrical engineering; Computer science; Engineering; Physics; Power (physics)","score_opus":0.03278951004542629,"score_gpt":0.28992177042725203,"score_spread":0.25713226038182574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2933913730","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04255481,0.00044071986,0.8988393,0.00040468655,0.00025485948,0.0002994205,0.0019621437,0.0033451437,0.051898874],"genre_scores_gemma":[0.7957761,0.0011439662,0.10199855,0.00031379203,0.00009784151,0.0007460614,0.0030987961,0.0006711918,0.09615365],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988604,0.000018367218,0.0000071685054,0.000018913317,0.000057679143,0.000011817718],"domain_scores_gemma":[0.9998393,0.000034587472,0.000012347489,0.00002941221,0.00007443053,0.000009902561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017754847,0.00066556176,0.0004945363,0.00037089962,0.000356037,0.0009690763,0.001322666,0.0010158718,0.01198226],"category_scores_gemma":[0.00049667136,0.0004138085,0.001056548,0.0003242964,0.00017750886,0.0010751607,0.00056193466,0.00078919035,0.0035091331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042712254,0.000034862558,0.00085200166,0.00012362066,0.000031100037,0.00013102386,0.00005953128,0.9652954,0.004631334,0.0024444489,0.002750059,0.023603972],"study_design_scores_gemma":[0.0000075391094,0.000035888886,0.00029038542,0.000017780594,0.000012911218,0.00004177725,0.000021201582,0.9886324,0.0011130039,0.00074347627,0.009075145,0.000008573807],"about_ca_topic_score_codex":0.012422884,"about_ca_topic_score_gemma":0.011814078,"teacher_disagreement_score":0.012422884,"about_ca_system_score_codex":0.0005510332,"about_ca_system_score_gemma":0.0008459279,"threshold_uncertainty_score":0.04008466},"labels":[],"label_agreement":null},{"id":"W2934895474","doi":"10.1149/ma2019-03/2/223","title":"Using Varied Salt Concentration and High Charging Potential to Study “Rollover” Failure Mechanisms in Li-Ion Cells","year":2019,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Rollover (web design); Electrolyte; Dielectric spectroscopy; Electrical impedance; Materials science; Chemistry; Lithium (medication); Ion; Drop (telecommunication); Analytical Chemistry (journal); Electrochemistry; Electrical engineering; Computer science; Chromatography; Electrode; Engineering","score_opus":0.01269374528517268,"score_gpt":0.24954743701458118,"score_spread":0.2368536917294085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2934895474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938706,0.00117594,0.0038115426,0.00013090645,0.000034677032,0.00007842527,0.0002370188,0.0000669258,0.00059392775],"genre_scores_gemma":[0.9921583,0.0011146758,0.005507106,0.000113643815,0.00002525229,0.000096860924,0.00021457855,0.00003232843,0.0007371894],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99955815,0.000046593694,0.000048763788,0.000092776514,0.00019736211,0.0000564022],"domain_scores_gemma":[0.9996092,0.000119332144,0.00010302478,0.000047559213,0.000088846886,0.00003194772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000355189,0.00046247238,0.00030392723,0.0003547969,0.00033077272,0.0005560136,0.00070482434,0.0005515613,0.00064406666],"category_scores_gemma":[0.00059434335,0.00019250555,0.0002588804,0.0005194962,0.0005990777,0.0007366078,0.00038863457,0.0007300496,0.00018057453],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011644747,0.00010801877,0.0011389744,0.00008292827,0.000012426608,0.00008863868,0.000086100124,0.00069583947,0.99471635,0.00013792352,0.00006048721,0.002755941],"study_design_scores_gemma":[0.000010504239,0.0005253299,0.0027531842,0.000005295344,0.0000125866,0.00006758515,0.000041588755,0.0037070003,0.9923477,0.000073273906,0.00044073578,0.00001513977],"about_ca_topic_score_codex":0.0009924467,"about_ca_topic_score_gemma":0.0009733977,"teacher_disagreement_score":0.0009924467,"about_ca_system_score_codex":0.0006535975,"about_ca_system_score_gemma":0.00015398115,"threshold_uncertainty_score":0.004742205},"labels":[],"label_agreement":null},{"id":"W2936269680","doi":"10.31142/ijtsrd15710","title":"Power Conversion Interface","year":2018,"lang":"en","type":"article","venue":"International Journal of Trend in Scientific Research and Development","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Northwestern Polytechnic","funders":"","keywords":"Interface (matter); Power (physics); Computer science; Electrical engineering; Engineering; Operating system; Physics; Thermodynamics","score_opus":0.056622462860545154,"score_gpt":0.3782245460005421,"score_spread":0.32160208313999694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936269680","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007812271,0.0022086191,0.09227517,0.0014044248,0.0031396376,0.00048816,0.0060423985,0.01743114,0.86919814],"genre_scores_gemma":[0.27425823,0.0038063352,0.021470388,0.0022943856,0.0012096629,0.000660513,0.015461471,0.004381023,0.676458],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99941707,0.000035339515,0.000030839496,0.00010350522,0.00034676123,0.00006644744],"domain_scores_gemma":[0.9995254,0.00006351539,0.000014188752,0.00010884472,0.0002632138,0.000024812854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003810806,0.00059466326,0.0005197045,0.0011405281,0.0006112092,0.0035779097,0.001453988,0.0010964198,0.28438467],"category_scores_gemma":[0.0012386875,0.00025295516,0.00031494888,0.0013712667,0.00031267304,0.0018631978,0.0013961863,0.0013544306,0.1342762],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005463888,0.00023410135,0.0010785718,0.0009956702,0.000054253676,0.00059022114,0.00022469333,0.0028640465,0.039728288,0.05758382,0.45851746,0.43758246],"study_design_scores_gemma":[0.000054659005,0.00009303939,0.00061692036,0.00014111692,0.000017240076,0.0005706405,0.000074706295,0.0073695495,0.027154207,0.010523935,0.95335835,0.000025692882],"about_ca_topic_score_codex":0.0011191617,"about_ca_topic_score_gemma":0.0006501885,"teacher_disagreement_score":0.28438467,"about_ca_system_score_codex":0.0005598742,"about_ca_system_score_gemma":0.00044055234,"threshold_uncertainty_score":0.9513615},"labels":[],"label_agreement":null},{"id":"W2936291552","doi":"10.1149/ma2019-03/2/207","title":"Temperature Dependent Electrochemical Impedance Spectroscopy Studies of Lithium Ion Batteries","year":2019,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Electrolyte; Dielectric spectroscopy; Electrode; Lithium (medication); Materials science; Ionic conductivity; Electrochemistry; Conductivity; Analytical Chemistry (journal); Chemistry; Chemical engineering; Chromatography","score_opus":0.012005294034441404,"score_gpt":0.27638195460618503,"score_spread":0.26437666057174364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936291552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9780938,0.0018783462,0.014003291,0.0002465638,0.000078238896,0.00006547899,0.001140701,0.0002511369,0.0042423997],"genre_scores_gemma":[0.9888986,0.0012381199,0.00562811,0.00007884065,0.000021308537,0.00007641032,0.00065767777,0.000050453298,0.00335048],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995485,0.00005028365,0.000039008642,0.000083686966,0.00022942663,0.000049153972],"domain_scores_gemma":[0.9996106,0.00010873064,0.00006901499,0.000033243803,0.00015891875,0.000019542911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030411797,0.00035933853,0.00034643686,0.000541472,0.00033438826,0.00047272534,0.000490367,0.00059093424,0.0018745406],"category_scores_gemma":[0.0009225541,0.000253452,0.0002726894,0.0007806293,0.00026167586,0.0007153214,0.000335892,0.0007702124,0.0005789216],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060756258,0.000018021161,0.0005099919,0.00004428791,0.0000074332256,0.000056743287,0.00013541777,0.00022438832,0.9964992,0.000089736284,0.00006710741,0.0022869748],"study_design_scores_gemma":[0.000004517962,0.000119091674,0.0034829904,0.00001069798,0.000012874528,0.00014322299,0.00015225391,0.003080927,0.9915406,0.000112545094,0.0013233993,0.0000168679],"about_ca_topic_score_codex":0.00040634815,"about_ca_topic_score_gemma":0.0005289332,"teacher_disagreement_score":0.0018745406,"about_ca_system_score_codex":0.00030485907,"about_ca_system_score_gemma":0.00010659046,"threshold_uncertainty_score":0.006270945},"labels":[],"label_agreement":null},{"id":"W2938710930","doi":"10.1063/1.5079233","title":"Calibration process for rechargeable cell and battery test systems","year":2019,"lang":"en","type":"article","venue":"Review of Scientific Instruments","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"National Research Council Canada","keywords":"Faraday efficiency; Battery (electricity); Calibration; Computer science; Voltage; Process (computing); Measure (data warehouse); Materials science; Electrolyte; Nuclear engineering; Electrode; Electrical engineering; Physics; Power (physics)","score_opus":0.023336991574814805,"score_gpt":0.27925066949731836,"score_spread":0.2559136779225036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938710930","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05499068,0.0029849964,0.9123286,0.0006049967,0.0013321775,0.0037556447,0.0015219619,0.011550226,0.010930743],"genre_scores_gemma":[0.20633592,0.003227277,0.7536516,0.0018108968,0.00040274844,0.008624752,0.004189585,0.0021027827,0.019654429],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99217916,0.0010203641,0.00059608853,0.0011346583,0.0047599114,0.00030975373],"domain_scores_gemma":[0.9934824,0.0010621998,0.000386531,0.0012576777,0.003667953,0.00014312284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004437313,0.0016829106,0.0011195659,0.0033718564,0.001269347,0.0013816054,0.0036099453,0.002108043,0.009710975],"category_scores_gemma":[0.011437706,0.00083522196,0.00063830503,0.0026743526,0.0009000595,0.0016024656,0.0016595585,0.0031930003,0.00871739],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023489482,0.00033845086,0.0025259545,0.0008515948,0.000064152766,0.00041937316,0.0007388485,0.0015838919,0.84939843,0.005720069,0.008859395,0.12926485],"study_design_scores_gemma":[0.000034081724,0.00035684675,0.0026548295,0.000121432764,0.00004510387,0.0006255674,0.00015395784,0.009387957,0.9103209,0.0013588656,0.07484876,0.00009172802],"about_ca_topic_score_codex":0.00078090274,"about_ca_topic_score_gemma":0.0009764852,"teacher_disagreement_score":0.009710975,"about_ca_system_score_codex":0.0008790344,"about_ca_system_score_gemma":0.001210352,"threshold_uncertainty_score":0.03248644},"labels":[],"label_agreement":null},{"id":"W2939815158","doi":"10.1149/ma2019-03/2/210","title":"Studies of Rollover Failure in Lithium-Ion Cells","year":2019,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Dalhousie University","funders":"","keywords":"Rollover (web design); Electrolyte; Lithium (medication); Electrode; Ion; Materials science; Chemistry; Battery (electricity); Computer science; Physics; Medicine; Thermodynamics","score_opus":0.018364302219500344,"score_gpt":0.27141769575630803,"score_spread":0.25305339353680767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2939815158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866349,0.0059208022,0.003978433,0.00006206719,0.000042160493,0.00007892739,0.0008919824,0.00017846268,0.0022123673],"genre_scores_gemma":[0.9947042,0.0016091209,0.0010042774,0.000056058438,0.00002222717,0.000057597164,0.0008888905,0.000034132354,0.0016235743],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991578,0.00007146107,0.00008106903,0.00012110786,0.00046806043,0.000100479825],"domain_scores_gemma":[0.9989128,0.00025067295,0.00023598316,0.00013018103,0.00040047776,0.0000698381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042980234,0.0006473452,0.0006706636,0.0010890067,0.0004791641,0.000526711,0.00083066104,0.00083051424,0.0020098686],"category_scores_gemma":[0.0011315471,0.00020248629,0.00039950662,0.001110653,0.0003392693,0.0009305,0.00057632796,0.00090685335,0.0006912918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006462609,0.00021247378,0.009899837,0.0007287422,0.000052284595,0.00081956806,0.00069106655,0.0026310473,0.9637213,0.00018713408,0.0003935767,0.020016786],"study_design_scores_gemma":[0.000017473129,0.0030884012,0.04728494,0.00006177949,0.00008440905,0.0012729794,0.0005680228,0.006676898,0.93513435,0.00030852115,0.0054455018,0.00005668209],"about_ca_topic_score_codex":0.00084786786,"about_ca_topic_score_gemma":0.00055861304,"teacher_disagreement_score":0.0020098686,"about_ca_system_score_codex":0.00033595908,"about_ca_system_score_gemma":0.00009019297,"threshold_uncertainty_score":0.006723702},"labels":[],"label_agreement":null},{"id":"W2940732855","doi":"10.3390/en12081525","title":"Electric Vehicle Battery Lifetime Extension through an Intelligent Double-Layer Control Scheme","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Vlaamse regering; Flanders Make","keywords":"Automotive engineering; Renewable energy; Electric vehicle; Electric power system; Grid; Computer science; Electricity; Flexibility (engineering); Reliability engineering; Engineering; Power (physics); Electrical engineering","score_opus":0.02120467446010664,"score_gpt":0.2717826678093947,"score_spread":0.25057799334928804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940732855","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1488291,0.000744115,0.83859575,0.00024111336,0.0002414265,0.00010814172,0.000079225014,0.0010768726,0.010084234],"genre_scores_gemma":[0.9904869,0.00009445442,0.00833842,0.000028740977,0.00001774025,0.000033422373,0.000019788076,0.000007758469,0.00097287854],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997913,0.000022546235,0.000018311508,0.00006997008,0.000055447257,0.000042457053],"domain_scores_gemma":[0.99975234,0.000042621727,0.000070438815,0.000024954934,0.00009255274,0.000017054292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003385985,0.00064343814,0.00045433088,0.00024803018,0.0003315418,0.000815872,0.00077080575,0.00038880302,0.0011982026],"category_scores_gemma":[0.00045110227,0.00017974054,0.00040488984,0.0002021462,0.00030355688,0.00059095677,0.00049963075,0.00048404856,0.00017737334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068404834,0.00040876647,0.0010691242,0.00027337586,0.00010051403,0.0002715045,0.00015050756,0.75222695,0.05722486,0.0069515924,0.0019572864,0.17868139],"study_design_scores_gemma":[0.0000170468,0.00014698769,0.00019792622,0.0000076845545,0.00001896687,0.000021509957,0.0000065231275,0.994822,0.0038322175,0.0004489103,0.00047209012,0.000008102168],"about_ca_topic_score_codex":0.0020433753,"about_ca_topic_score_gemma":0.0023204463,"teacher_disagreement_score":0.0020433753,"about_ca_system_score_codex":0.0003672055,"about_ca_system_score_gemma":0.00043149616,"threshold_uncertainty_score":0.0040629506},"labels":[],"label_agreement":null},{"id":"W2943069332","doi":"10.1016/j.jpowsour.2019.04.055","title":"Thermophysical properties of trimethylolethane (TME) hydrate as phase change material for cooling lithium-ion battery in electric vehicle","year":2019,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"JKA Foundation; University of Ottawa","keywords":"Mass fraction; Hydrate; Dissociation (chemistry); Chemistry; Thermodynamics; Differential scanning calorimetry; Ion; Mass transfer; Analytical Chemistry (journal); Physical chemistry; Chromatography; Organic chemistry","score_opus":0.022877567940969696,"score_gpt":0.272913315593275,"score_spread":0.2500357476523053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943069332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982399,0.0004691154,0.0006467998,0.000037993836,0.000015520833,0.000004958817,0.00003264559,0.00001535523,0.000537706],"genre_scores_gemma":[0.99814093,0.00019859336,0.00038254107,0.000013309266,0.0000028325335,0.000005695775,0.00003653135,0.000007452334,0.0012121272],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999491,0.000008591287,0.000002642236,0.000010113187,0.00001924413,0.000010337328],"domain_scores_gemma":[0.9999428,0.000016696922,0.000010927273,0.0000045085626,0.000018675479,0.0000062771173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110109206,0.00010263961,0.00011036191,0.00010927596,0.000107568034,0.00012016569,0.00020285771,0.00015670403,0.0013946958],"category_scores_gemma":[0.00016027478,0.00008256201,0.00011492296,0.00009664702,0.00013802291,0.0002173914,0.00009250534,0.00021315302,0.00016148266],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023979947,0.000027158447,0.0003855189,0.00009191957,0.0000049232003,0.00005203277,0.00005322805,0.0003275789,0.99546057,0.0001449019,0.00013190763,0.0030804784],"study_design_scores_gemma":[0.000006485725,0.0002587193,0.00160298,0.000004042015,0.000007123135,0.000046838966,0.00004217479,0.0026207785,0.99457765,0.000017947634,0.00081006734,0.000005174531],"about_ca_topic_score_codex":0.00033356008,"about_ca_topic_score_gemma":0.0006902536,"teacher_disagreement_score":0.0013946958,"about_ca_system_score_codex":0.000102682585,"about_ca_system_score_gemma":0.00008571793,"threshold_uncertainty_score":0.004665673},"labels":[],"label_agreement":null},{"id":"W2944110337","doi":"10.1109/pedes.2018.8707652","title":"Optimal Power Management of Multiple Battery Units by Power Converter System in Electric Vehicle","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Voltage droop; Battery (electricity); State of charge; Electric vehicle; Power (physics); Computer science; Voltage; Electrical engineering; MATLAB; Energy management; Automotive engineering; Engineering; Energy (signal processing); Voltage source","score_opus":0.010048966491712004,"score_gpt":0.22886102377904302,"score_spread":0.21881205728733102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944110337","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1703842,0.0014592155,0.8037506,0.00020932787,0.00011776536,0.00014484336,0.00007925318,0.0007012505,0.023153586],"genre_scores_gemma":[0.9869518,0.00025594744,0.010738473,0.000012861913,0.0000121134535,0.000033582666,0.00001922427,0.000010389792,0.0019656508],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998282,0.000040774306,0.00001178442,0.000037959395,0.000057756053,0.000023458279],"domain_scores_gemma":[0.9999449,0.000012291245,0.000011863652,0.000005452834,0.000020848043,0.0000045595343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018138731,0.0004799359,0.0003887198,0.00025072283,0.00031055277,0.00077493704,0.0005891928,0.00027340453,0.001063485],"category_scores_gemma":[0.00017183744,0.00022983606,0.00021961788,0.00030641392,0.00028774893,0.00046869894,0.0002993628,0.00032805186,0.00018807178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003096534,0.00015619265,0.0011575676,0.00031269097,0.00006558823,0.00043775665,0.0001551376,0.8189162,0.04760149,0.012678807,0.001495965,0.11671298],"study_design_scores_gemma":[0.00002852962,0.00018654887,0.00036709823,0.000011314928,0.000022620115,0.00007929877,0.00004049065,0.989481,0.005753362,0.002489853,0.001529048,0.000010907955],"about_ca_topic_score_codex":0.002245484,"about_ca_topic_score_gemma":0.002976044,"teacher_disagreement_score":0.002245484,"about_ca_system_score_codex":0.00033501716,"about_ca_system_score_gemma":0.0004098221,"threshold_uncertainty_score":0.004464805},"labels":[],"label_agreement":null},{"id":"W2944232200","doi":"10.22059/jser.2019.70906","title":"Lithium-ion Battery Market Analysis for Hybrid, Plug-in and Solar-Powered Electric Vehicles","year":2019,"lang":"en","type":"article","venue":"Journal of Solar Energy Research","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Battery (electricity); Battery electric vehicle; Automotive engineering; Miles per gallon gasoline equivalent; Electric vehicle; Automotive battery; Environmental economics; Engineering; Green vehicle; Environmental science; Electrical engineering; Fuel efficiency; Power (physics); Economics","score_opus":0.0208508220481257,"score_gpt":0.2923981485575586,"score_spread":0.27154732650943286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944232200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71160287,0.01665323,0.0057223397,0.0016632279,0.0002261113,0.0003237065,0.021475565,0.00034440178,0.24198863],"genre_scores_gemma":[0.9482075,0.0037352396,0.0010078604,0.00021006045,0.00010766958,0.000121087105,0.011937593,0.00005503279,0.034617893],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.999622,0.000023222703,0.000013347102,0.00004601627,0.0002458461,0.00004959731],"domain_scores_gemma":[0.9991462,0.00026017407,0.000106881795,0.000013327741,0.00041624534,0.000057097637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046262276,0.00033888058,0.00026814055,0.0032429057,0.00033219325,0.0020220245,0.0007771323,0.0004801121,0.014277316],"category_scores_gemma":[0.0012374618,0.00013766723,0.000755433,0.0023980115,0.00016750365,0.0030134276,0.00036222313,0.00041216818,0.0031172524],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004631397,0.0010276885,0.2038698,0.0024187663,0.000508783,0.0042737005,0.0010287318,0.06371571,0.015158449,0.16597664,0.11541687,0.42197338],"study_design_scores_gemma":[0.00021262334,0.0024940704,0.2905999,0.0006026285,0.0006067569,0.0030895062,0.0069186483,0.21979573,0.025737392,0.024105797,0.42552042,0.00031652066],"about_ca_topic_score_codex":0.0075603602,"about_ca_topic_score_gemma":0.008495788,"teacher_disagreement_score":0.014277316,"about_ca_system_score_codex":0.0024459846,"about_ca_system_score_gemma":0.00070022413,"threshold_uncertainty_score":0.047762334},"labels":[],"label_agreement":null},{"id":"W2944524187","doi":"10.1002/er.4557","title":"Two‐layer online state‐of‐charge estimation of lithium‐ion battery with current sensor bias correction","year":2019,"lang":"en","type":"article","venue":"International Journal of Energy Research","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; McMaster University Medical Centre","funders":"","keywords":"Robustness (evolution); State of charge; Estimator; DC bias; Offset (computer science); Biasing; Control theory (sociology); Current (fluid); Voltage; Equivalent circuit; Computer science; Electronic engineering; Battery (electricity); Engineering; Electrical engineering; Mathematics; Statistics; Physics; Chemistry","score_opus":0.05871350000068218,"score_gpt":0.375171530851254,"score_spread":0.3164580308505718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944524187","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09408779,0.0008744744,0.9011413,0.00012984575,0.00009241154,0.00005515588,0.00008097228,0.0016350184,0.0019030132],"genre_scores_gemma":[0.9567066,0.00030817252,0.04119499,0.000086686865,0.000026249929,0.00005604825,0.00011016728,0.000031786265,0.0014793748],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997588,0.000032585875,0.000021840244,0.000060838724,0.00009928879,0.000026754835],"domain_scores_gemma":[0.999671,0.00009764417,0.000057869252,0.00004719508,0.00011547924,0.000010742728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038501262,0.00069149275,0.00069967617,0.00039620392,0.00024967705,0.00086759863,0.0010160161,0.00063940254,0.0008495552],"category_scores_gemma":[0.00118157,0.0003530843,0.00042198805,0.00027722312,0.00021160129,0.0015738088,0.00080434995,0.00050355773,0.00031247817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005822844,0.00024471816,0.008649559,0.0005459651,0.0002194219,0.00030289695,0.00036756104,0.43710536,0.10315605,0.004471281,0.0020177325,0.44233724],"study_design_scores_gemma":[0.00000880317,0.00005399996,0.00074764923,0.000008892103,0.000017122478,0.00004427219,0.000009681316,0.984694,0.013375141,0.0005175816,0.0005071612,0.00001579227],"about_ca_topic_score_codex":0.0024429893,"about_ca_topic_score_gemma":0.0028626514,"teacher_disagreement_score":0.0024429893,"about_ca_system_score_codex":0.00037245193,"about_ca_system_score_gemma":0.0004038086,"threshold_uncertainty_score":0.0048575997},"labels":[],"label_agreement":null},{"id":"W2944573793","doi":"10.1109/jestpe.2019.2914706","title":"A Series Resonant Energy Storage Cell Voltage Balancing Circuit","year":2019,"lang":"en","type":"article","venue":"IEEE Journal of Emerging and Selected Topics in Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Voltage; Capacitor; Energy storage; Electrical engineering; Series and parallel circuits; Transformer; Equivalent circuit; Equalization (audio); Supercapacitor; Electronic engineering; Materials science; Computer science; Engineering; Physics; Capacitance; Electrode; Power (physics)","score_opus":0.0053709319570708165,"score_gpt":0.2179822418280753,"score_spread":0.2126113098710045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944573793","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23693736,0.0011310403,0.7125829,0.0006680483,0.00068368553,0.0003519172,0.00046936458,0.008724608,0.038451068],"genre_scores_gemma":[0.93550587,0.00024433478,0.050395112,0.00044444486,0.00012268197,0.00010830509,0.00014851034,0.00010059672,0.012930137],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998093,0.000012743117,0.000014091374,0.00006477083,0.000071897644,0.000027297883],"domain_scores_gemma":[0.99991,0.000014177977,0.000011719057,0.000013905235,0.00004290256,0.000007260335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001006755,0.00028457245,0.00032212527,0.0003550656,0.00039054337,0.00046950116,0.0012908299,0.00038435767,0.0062449276],"category_scores_gemma":[0.00019352125,0.00018253484,0.00020688571,0.00033602925,0.00019071312,0.00073976646,0.00035791303,0.0003301433,0.0010333803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002684565,0.00008961655,0.0003789221,0.00020521748,0.000037549584,0.00017939344,0.00010733556,0.00413645,0.8192165,0.008436194,0.0039398754,0.16300443],"study_design_scores_gemma":[0.00007102589,0.00047189053,0.0011017836,0.000030835196,0.000096802796,0.0011269578,0.00006754284,0.11691832,0.8435855,0.0022068815,0.03426518,0.000057356818],"about_ca_topic_score_codex":0.00064655376,"about_ca_topic_score_gemma":0.0008055519,"teacher_disagreement_score":0.0062449276,"about_ca_system_score_codex":0.00040749172,"about_ca_system_score_gemma":0.00032606968,"threshold_uncertainty_score":0.020891368},"labels":[],"label_agreement":null},{"id":"W2945432729","doi":"10.1109/tia.2019.2911057","title":"Real-Time Control of a Full Scale Li-ion Battery and Li-ion Capacitor Hybrid Energy Storage System for a Plug-in Hybrid Vehicle","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery pack; Battery (electricity); Energy storage; Automotive engineering; Capacitor; Drivetrain; Electrical engineering; Engineering; Electric vehicle; Hybrid vehicle; Power (physics); Voltage; Torque; Physics","score_opus":0.00823329990969981,"score_gpt":0.22407189457674068,"score_spread":0.21583859466704086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945432729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7109077,0.00032191744,0.27429006,0.0002589066,0.0001649705,0.0002651255,0.00022800626,0.0021606344,0.011402564],"genre_scores_gemma":[0.9951565,0.000027304728,0.0034808153,0.000012980307,0.0000038587464,0.000042280873,0.000024485349,0.000007836197,0.0012438714],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991095,0.0000143759025,0.0000060341963,0.000020503936,0.00003470636,0.000013432083],"domain_scores_gemma":[0.9998715,0.000036644553,0.000023645542,0.000010256927,0.000044627202,0.000013469343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022608877,0.00038100794,0.0002955798,0.00013410188,0.00033663944,0.0006031334,0.00047296443,0.00020721245,0.0016947495],"category_scores_gemma":[0.0002282284,0.00014834484,0.00014935882,0.00011100106,0.0002676458,0.0002513823,0.00025513483,0.00026331012,0.00017944566],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001478845,0.00050210336,0.002858676,0.0006293299,0.00013647562,0.0005269134,0.00051187316,0.54501694,0.31978577,0.003096889,0.00366807,0.121788],"study_design_scores_gemma":[0.00010370879,0.00075316685,0.0015622694,0.0000107412025,0.000034765933,0.000062136416,0.000066624,0.96509546,0.029812321,0.0003230989,0.0021559286,0.000019803252],"about_ca_topic_score_codex":0.0025359315,"about_ca_topic_score_gemma":0.004159679,"teacher_disagreement_score":0.0025359315,"about_ca_system_score_codex":0.00032980228,"about_ca_system_score_gemma":0.00040846074,"threshold_uncertainty_score":0.0056694746},"labels":[],"label_agreement":null},{"id":"W2945480173","doi":"10.1149/2.1051908jes","title":"Analysis of Thousands of Electrochemical Impedance Spectra of Lithium-Ion Cells through a Machine Learning Inverse Model","year":2019,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lithium (medication); Computer science; Artificial neural network; Electrical impedance; Equivalent circuit; Inverse; Process (computing); Ion; Software; Biological system; Algorithm; Electronic engineering; Machine learning; Chemistry; Electrical engineering; Voltage; Mathematics; Engineering","score_opus":0.008173864861577689,"score_gpt":0.245873893904802,"score_spread":0.2377000290432243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945480173","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10832978,0.00028110226,0.884364,0.00020457119,0.00003682641,0.00006152812,0.0006151372,0.0047788927,0.0013280801],"genre_scores_gemma":[0.5911719,0.0003852798,0.40163732,0.00011383208,0.00003470186,0.00019772649,0.0030706143,0.00022625801,0.0031623796],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997347,0.000027991264,0.000018690103,0.00009425885,0.000108210115,0.000016088477],"domain_scores_gemma":[0.99963284,0.00013416001,0.00004203185,0.00007770556,0.00010046138,0.000012797213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044409052,0.0007888558,0.000707375,0.0010367038,0.00027395508,0.0007272748,0.00077004766,0.0007882508,0.0011647686],"category_scores_gemma":[0.0015440579,0.00031176547,0.0007988395,0.000821791,0.00023480291,0.0010496656,0.00042689402,0.0007946724,0.00084172626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022363303,0.00029192318,0.008754924,0.0003710253,0.00019608256,0.00039479503,0.00027956848,0.37156212,0.12030286,0.0020130898,0.0035191057,0.49209085],"study_design_scores_gemma":[0.0000071401537,0.00004373716,0.0024276385,0.000009646909,0.000015371412,0.00012788072,0.000032623313,0.97660875,0.017269034,0.0016235532,0.0018151513,0.000019498819],"about_ca_topic_score_codex":0.0027181273,"about_ca_topic_score_gemma":0.003585125,"teacher_disagreement_score":0.0027181273,"about_ca_system_score_codex":0.00043187354,"about_ca_system_score_gemma":0.0005450659,"threshold_uncertainty_score":0.005404651},"labels":[],"label_agreement":null},{"id":"W2946871832","doi":"10.1109/apec.2019.8722029","title":"A Soft Switched Boost Cascaded-by-Buck Power Factor Correction Converter for On-board Battery Charger Application","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery charger; Battery (electricity); Inductor; Capacitor; Buck converter; Buck–boost converter; Boost converter; Voltage; Computer science; Electrical engineering; Power factor; Power (physics); Ćuk converter; Electronic engineering; Engineering; Physics","score_opus":0.009833323966105563,"score_gpt":0.24763230680411194,"score_spread":0.23779898283800638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946871832","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10946093,0.0015217782,0.839642,0.00030463497,0.00034666606,0.00042640854,0.00028842644,0.0052049547,0.042804155],"genre_scores_gemma":[0.9165191,0.00059627846,0.060753565,0.00017111661,0.00006776063,0.000107203836,0.00022890401,0.00010181286,0.02145428],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981993,0.000015586133,0.000010962681,0.00003229648,0.000104036706,0.000017236982],"domain_scores_gemma":[0.99991,0.000011970806,0.000008980352,0.000012346996,0.00005058822,0.0000062328772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014697837,0.00034312546,0.000397893,0.00038675888,0.0003795334,0.00060529175,0.00091416674,0.00037082558,0.004575493],"category_scores_gemma":[0.00016521015,0.00018171415,0.00034123144,0.00036662538,0.00011964796,0.00045012933,0.00019250189,0.00047548523,0.0014649978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040281462,0.00031133307,0.0013137949,0.00087527616,0.00008678599,0.00065845286,0.00028702608,0.013742966,0.56218135,0.0054996414,0.00741355,0.40722698],"study_design_scores_gemma":[0.00022604213,0.0015963191,0.0053780675,0.00017264704,0.00020863693,0.004167131,0.00017016484,0.39267167,0.5054724,0.0034710472,0.086340345,0.00012550174],"about_ca_topic_score_codex":0.0011542845,"about_ca_topic_score_gemma":0.0017275417,"teacher_disagreement_score":0.004575493,"about_ca_system_score_codex":0.0002808486,"about_ca_system_score_gemma":0.00043496105,"threshold_uncertainty_score":0.015306532},"labels":[],"label_agreement":null},{"id":"W2949136441","doi":"10.3390/en12122237","title":"Opportunity for Improving Lead-Acid Battery Management of Photovoltaic-Genset-Battery Hybrid Power Systems Based on Measured Field Data","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Battery (electricity); Lead–acid battery; Photovoltaic system; Automotive engineering; Automotive battery; State of charge; Computer science; Electrical engineering; Power (physics); Engineering","score_opus":0.03985263439946353,"score_gpt":0.265490645444344,"score_spread":0.22563801104488046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949136441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82821584,0.00072396983,0.16060385,0.00048098914,0.00006275899,0.00021293446,0.0003834864,0.0022547701,0.0070613497],"genre_scores_gemma":[0.98844415,0.00014212988,0.010657464,0.000026026277,0.000007564476,0.000022697035,0.00010346245,0.000020081361,0.0005764377],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99983895,0.000028701807,0.0000113095075,0.00002235862,0.000085544714,0.000013033748],"domain_scores_gemma":[0.99963224,0.00010849641,0.000034443787,0.000037231603,0.00017101094,0.000016632466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037418245,0.00033565736,0.00036462257,0.00037087454,0.00027997757,0.00068764435,0.0005473955,0.00026469602,0.0012073789],"category_scores_gemma":[0.0007546933,0.00011851801,0.00010818534,0.00035047735,0.0002101418,0.00058660633,0.00025948609,0.0003026772,0.00021452436],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009324195,0.00035548743,0.05879722,0.0005140973,0.000072608804,0.000345415,0.00059649895,0.04878438,0.60606045,0.0010169972,0.0013955082,0.28112897],"study_design_scores_gemma":[0.00014997958,0.0020265307,0.108787626,0.00012784552,0.00011868968,0.00044538375,0.0010155925,0.29887855,0.5691862,0.0024420535,0.016705766,0.00011582685],"about_ca_topic_score_codex":0.0055209277,"about_ca_topic_score_gemma":0.012405702,"teacher_disagreement_score":0.0055209277,"about_ca_system_score_codex":0.00039607988,"about_ca_system_score_gemma":0.0004616092,"threshold_uncertainty_score":0.010977626},"labels":[],"label_agreement":null},{"id":"W2950325779","doi":"10.22215/etd/2018-13187","title":"Overheating Prediction and Management of Lithium-Ion Batteries","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"University of Waterloo; University of Ottawa","keywords":"Overheating (electricity); Thermal runaway; Nuclear engineering; Heat generation; Materials science; Lithium-ion battery; Phase-change material; Heat sink; Automotive engineering; Thermal; Exothermic reaction; Battery (electricity); Electrical engineering; Mechanical engineering; Engineering; Power (physics); Engineering physics; Phase change; Chemistry; Thermodynamics","score_opus":0.011656208429535467,"score_gpt":0.2698805134230365,"score_spread":0.258224304993501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950325779","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7592164,0.005655322,0.224151,0.0005130781,0.0002112487,0.00016141102,0.0008687055,0.0014340109,0.007788864],"genre_scores_gemma":[0.9927296,0.000803608,0.0046940246,0.00001995607,0.000036950187,0.000032184824,0.00033896684,0.000015798962,0.0013288724],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998846,0.000010176949,0.00001108672,0.000028222514,0.00004779961,0.000018040562],"domain_scores_gemma":[0.9996269,0.000120006924,0.000051704737,0.000013342039,0.00016069149,0.000027362774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024680377,0.00069734757,0.0006662517,0.0006186344,0.0002697735,0.00074956537,0.0005824868,0.00036570974,0.0006820968],"category_scores_gemma":[0.0012899461,0.00018728475,0.00024618825,0.0003667014,0.000119191915,0.0006073858,0.00038407743,0.0003870117,0.00030090022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061616936,0.00029817352,0.031566475,0.00032152887,0.000055999793,0.00050140935,0.00020799505,0.6786454,0.025011988,0.0009627059,0.004512822,0.25729942],"study_design_scores_gemma":[0.0000038756516,0.000060348328,0.0034249995,0.000014543184,0.00001498537,0.000037822076,0.000045246208,0.9902192,0.005180112,0.0005277286,0.00045982996,0.000011438112],"about_ca_topic_score_codex":0.004763989,"about_ca_topic_score_gemma":0.003453151,"teacher_disagreement_score":0.004763989,"about_ca_system_score_codex":0.00030951086,"about_ca_system_score_gemma":0.00037296003,"threshold_uncertainty_score":0.009472549},"labels":[],"label_agreement":null},{"id":"W2951450062","doi":"10.1016/j.energy.2019.06.077","title":"A comprehensive review of the key technologies for pure electric vehicles","year":2019,"lang":"en","type":"review","venue":"Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":598,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electric vehicle; Incentive; Interim; Environmental economics; Battery electric vehicle; Automotive engineering; Key (lock); Electric motor; Transport engineering; Engineering; Business; Computer science; Mechanical engineering; Computer security; Economics; Political science","score_opus":0.044028109188787315,"score_gpt":0.31442779148410466,"score_spread":0.27039968229531736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951450062","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016845891,0.9962471,0.00029181634,0.00022998435,0.00030503678,0.000011737039,0.00011739329,0.000013044532,0.0026154597],"genre_scores_gemma":[0.0006306533,0.99736196,0.00033035156,0.00016190771,0.00014658047,0.000008392979,0.00011195698,0.0000023753316,0.0012457378],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999775,0.000028395812,0.000040207153,0.000038991853,0.00009421889,0.00002313476],"domain_scores_gemma":[0.9996706,0.0001452333,0.00005211592,0.000010954605,0.00010163062,0.00001947933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000492678,0.0012704016,0.0012396991,0.0035251686,0.0003110559,0.0012170323,0.0009541047,0.0008645724,0.008626025],"category_scores_gemma":[0.0008072197,0.00035222448,0.0006503295,0.004180227,0.0002638607,0.0019861895,0.0007443896,0.0011196422,0.0032096424],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007352092,0.00006934549,0.00013749814,0.048692673,0.00009891679,0.00013245683,0.00004258994,0.0004965747,0.0032461276,0.0059759715,0.04884228,0.8921921],"study_design_scores_gemma":[0.0000075390367,0.000065306274,0.0004269036,0.0049845893,0.00011700036,0.00027547387,0.000036976708,0.00008988842,0.00058138836,0.0015933504,0.9918053,0.000016165408],"about_ca_topic_score_codex":0.0014923029,"about_ca_topic_score_gemma":0.0036219417,"teacher_disagreement_score":0.008626025,"about_ca_system_score_codex":0.0007323927,"about_ca_system_score_gemma":0.0019027096,"threshold_uncertainty_score":0.028856874},"labels":[],"label_agreement":null},{"id":"W2951583123","doi":"10.1007/s10800-019-01322-1","title":"A framework for charging strategy optimization using a physics-based battery model","year":2019,"lang":"en","type":"article","venue":"Journal of Applied Electrochemistry","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Trickle charging; Electrical engineering; Automotive engineering; Computer science; Charge cycle; Control theory (sociology); Engineering; Control (management); Power (physics); Physics; Thermodynamics","score_opus":0.01928152326505499,"score_gpt":0.2793414615085826,"score_spread":0.2600599382435276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951583123","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037515378,0.0003621932,0.9827147,0.00031286647,0.00007947297,0.00008161049,0.00012836084,0.00016155349,0.012407681],"genre_scores_gemma":[0.6898987,0.0017886581,0.2840994,0.00038021905,0.00021329394,0.0009498966,0.000520765,0.0003558747,0.021793133],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978906,0.000057889283,0.000010827478,0.000028632223,0.000086405846,0.00002721358],"domain_scores_gemma":[0.9997689,0.00011517115,0.000014395769,0.000018047956,0.00006815307,0.00001531716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007096343,0.00092395185,0.0013690692,0.00059880916,0.0006431227,0.0014871428,0.0020138745,0.0015357184,0.0073210625],"category_scores_gemma":[0.0014379458,0.0005583743,0.0011175723,0.00086776435,0.00051616697,0.0012181278,0.00097364443,0.001273403,0.0009672863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007759825,0.000022169295,0.00004603281,0.000036087284,0.000012327121,0.00002813508,0.000008778062,0.96908206,0.00046878878,0.024288699,0.00059983484,0.00539928],"study_design_scores_gemma":[0.000002746967,0.0000040932964,0.000011868385,0.0000029641635,0.000002710491,0.0000047410444,0.0000018715973,0.99500054,0.000050775947,0.0045385538,0.00037701594,0.0000021713888],"about_ca_topic_score_codex":0.0072381925,"about_ca_topic_score_gemma":0.0069071967,"teacher_disagreement_score":0.0073210625,"about_ca_system_score_codex":0.0009651262,"about_ca_system_score_gemma":0.0015885382,"threshold_uncertainty_score":0.02449137},"labels":[],"label_agreement":null},{"id":"W2952885090","doi":"10.1049/joe.2018.9271","title":"Droop control method in power converter system for balancing state‐of‐charge of energy storage units in EV","year":2019,"lang":"en","type":"article","venue":"The Journal of Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Ministry of Education, India","keywords":"Voltage droop; Interfacing; State of charge; Battery (electricity); Computer science; Power (physics); MATLAB; Energy storage; Microgrid; Automotive engineering; Electrical engineering; Voltage; Control theory (sociology); Control (management); Engineering; Voltage source; Computer hardware; Operating system","score_opus":0.007654432938289972,"score_gpt":0.23542618425104028,"score_spread":0.22777175131275032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952885090","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06487893,0.0009496703,0.9068687,0.00021613733,0.00018063154,0.00021882445,0.000089628265,0.0016076744,0.024989787],"genre_scores_gemma":[0.97682995,0.00028573093,0.019418115,0.000041161715,0.000024127305,0.00010148272,0.000042263688,0.000030375211,0.0032267526],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998282,0.00003877584,0.00001558537,0.000035948007,0.00006524508,0.000016208478],"domain_scores_gemma":[0.99987996,0.00002943285,0.000020140316,0.000011379864,0.000051692285,0.000007368458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002856342,0.0005431279,0.00032434185,0.0003347308,0.0003736419,0.0008561287,0.0006136798,0.0002942754,0.0024995974],"category_scores_gemma":[0.00034935717,0.00018619114,0.0002484927,0.00022110733,0.00025026835,0.00035941202,0.00030869397,0.00049382716,0.00035081935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006269674,0.00024166213,0.0014884648,0.000786894,0.00016172076,0.0007390701,0.0007832534,0.65312636,0.08520542,0.019392885,0.00478136,0.23266593],"study_design_scores_gemma":[0.00004447752,0.00027541255,0.0004072034,0.00003593936,0.000031254447,0.000099569224,0.000059270034,0.98311484,0.01008626,0.001521103,0.004306213,0.000018447005],"about_ca_topic_score_codex":0.002562823,"about_ca_topic_score_gemma":0.0027160186,"teacher_disagreement_score":0.002562823,"about_ca_system_score_codex":0.00026176395,"about_ca_system_score_gemma":0.0003081159,"threshold_uncertainty_score":0.008362055},"labels":[],"label_agreement":null},{"id":"W2953492037","doi":"10.48550/arxiv.1907.02775","title":"Asymptotic reduction, solution, and homogenisation of a thermo-electrochemical model for a lithium-ion battery","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Battery (electricity); Lithium-ion battery; Lithium (medication); Constant current; Electrochemistry; Thermal runaway; Arrhenius equation; Materials science; Scaling; Electrode; Constant (computer programming); Thermal; Thermodynamics; Reduction (mathematics); Ion; Mechanics; Current (fluid); Chemistry; Physics; Mathematics; Computer science; Physical chemistry","score_opus":0.050723123237034116,"score_gpt":0.19863074037092515,"score_spread":0.14790761713389103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953492037","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2813449,0.0017013147,0.67944074,0.001278949,0.00018557212,0.00010088255,0.000170929,0.00033021916,0.03544651],"genre_scores_gemma":[0.94724214,0.0008177671,0.038697936,0.00020796867,0.00012844228,0.0002320173,0.00017722479,0.00015627421,0.012340388],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984205,0.00004791834,0.000008499085,0.00002649676,0.000055712026,0.00001943698],"domain_scores_gemma":[0.9997446,0.00012566456,0.000042188964,0.000023037865,0.000050071263,0.000014423892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030684602,0.00049999973,0.0004997017,0.00047378702,0.00036186766,0.0007199126,0.00077863934,0.0010339051,0.0011819752],"category_scores_gemma":[0.0015015698,0.00024244863,0.00072878867,0.00029297842,0.0011981273,0.0007059547,0.0008963682,0.00060760585,0.00023908864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024962827,0.000048789385,0.0005356703,0.00008842405,0.000019014802,0.00015077228,0.0001326734,0.93128675,0.014020062,0.04837431,0.0005809151,0.004737761],"study_design_scores_gemma":[0.0000030372103,0.000008541373,0.00008175344,0.0000023265745,0.000002907794,0.000017401431,0.000008821208,0.99430734,0.00052126596,0.0046675764,0.00037531127,0.0000037666991],"about_ca_topic_score_codex":0.0039431923,"about_ca_topic_score_gemma":0.0023729356,"teacher_disagreement_score":0.0039431923,"about_ca_system_score_codex":0.00089427864,"about_ca_system_score_gemma":0.00049473287,"threshold_uncertainty_score":0.007840514},"labels":[],"label_agreement":null},{"id":"W2954622210","doi":"10.1149/2.f04192if","title":"Electrolyte Development for High-Performance Li-Ion Cells: Additives, Solvents, and Agreement with a Generalized Molecular Model","year":2019,"lang":"en","type":"article","venue":"The Electrochemical Society Interface","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Idaho National Laboratory; U.S. Department of Energy","keywords":"Electrolyte; Chemical engineering; Materials science; Ion; Chemistry; Electrode; Organic chemistry; Physical chemistry; Engineering","score_opus":0.006447313934986485,"score_gpt":0.21977295892337387,"score_spread":0.21332564498838738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954622210","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.099282704,0.011051512,0.8698552,0.0013510128,0.00035683584,0.0003940512,0.00080928806,0.00080338,0.016095927],"genre_scores_gemma":[0.47230917,0.029250722,0.48436695,0.00058200816,0.00010787786,0.0009910368,0.0013165396,0.0003185102,0.010757082],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981695,0.000033456465,0.000016558171,0.000018946255,0.00010300335,0.000011126929],"domain_scores_gemma":[0.99990976,0.00002696749,0.0000089291025,0.000013834148,0.00003686307,0.0000036975719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046501754,0.00062877144,0.00079383655,0.00048693677,0.0003480988,0.00066735677,0.0013378699,0.0008286179,0.0010633112],"category_scores_gemma":[0.0008332661,0.0002750396,0.00075642526,0.00072525104,0.00032692225,0.0017687895,0.0005286726,0.0008809835,0.000604082],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013754859,0.00013941078,0.00082013983,0.0020943605,0.000073120995,0.00041129053,0.00020503487,0.5383374,0.15858215,0.22213481,0.0026766323,0.07438805],"study_design_scores_gemma":[0.00003872945,0.00014693502,0.00023579177,0.000090277215,0.00004208603,0.00015979291,0.000048478112,0.9032064,0.04864633,0.030568385,0.016776107,0.00004079227],"about_ca_topic_score_codex":0.0017777517,"about_ca_topic_score_gemma":0.003434094,"teacher_disagreement_score":0.0017777517,"about_ca_system_score_codex":0.00069687463,"about_ca_system_score_gemma":0.00094909634,"threshold_uncertainty_score":0.005056143},"labels":[],"label_agreement":null},{"id":"W2954696147","doi":"10.1109/tte.2019.2925211","title":"A Drivetrain Integrated DC Fast Charger With Buck and Boost Functionality and Simultaneous Drive/Charge Capability","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Automotive engineering; Energy storage; Drivetrain; Battery (electricity); Electric vehicle; Electrical engineering; Renewable energy; Power (physics); Engineering; Torque","score_opus":0.007241082675444587,"score_gpt":0.21688188310258,"score_spread":0.2096408004271354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954696147","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18301068,0.0013185701,0.7277849,0.00047396554,0.0005108676,0.0004845288,0.00059469126,0.010397047,0.075424746],"genre_scores_gemma":[0.90151626,0.00043374946,0.060364798,0.00027780596,0.000086254586,0.000079886886,0.00040556252,0.00023866109,0.036596943],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997818,0.000010215866,0.000010571905,0.000037620317,0.00013182062,0.000027948623],"domain_scores_gemma":[0.99985135,0.0000132970645,0.000015309164,0.000027558674,0.000079467485,0.000013076139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010352061,0.00035819443,0.0003440332,0.00048666066,0.00029105492,0.0006018993,0.0013106863,0.0004410057,0.006137205],"category_scores_gemma":[0.00019584024,0.00021795677,0.000249431,0.00041549891,0.00017142469,0.0007102753,0.00039326507,0.00047224702,0.001808091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029062346,0.00032893184,0.0012697675,0.00066714396,0.00009140112,0.00046294284,0.00019694443,0.0056744507,0.5063179,0.0072358698,0.009500608,0.4679635],"study_design_scores_gemma":[0.0001497841,0.0017212109,0.0046241283,0.00006787445,0.00017479599,0.0042872694,0.000144579,0.12257907,0.6834199,0.0025589117,0.18014887,0.00012353447],"about_ca_topic_score_codex":0.0012035335,"about_ca_topic_score_gemma":0.0022876032,"teacher_disagreement_score":0.006137205,"about_ca_system_score_codex":0.0003341623,"about_ca_system_score_gemma":0.0003617333,"threshold_uncertainty_score":0.02053094},"labels":[],"label_agreement":null},{"id":"W2955134673","doi":"10.1016/j.ifacol.2019.06.184","title":"Assessment of Simplifications to a Pseudo–2D Electrochemical Model of Li-ion Batteries","year":2019,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Battery (electricity); Limiting; Electrochemical energy storage; Computer science; Lithium (medication); Energy storage; Key (lock); Work (physics); Reliability engineering; Range (aeronautics); Reduction (mathematics); Power (physics); Electrochemistry; Engineering; Mechanical engineering; Electrode; Chemistry; Aerospace engineering","score_opus":0.01685882473414733,"score_gpt":0.3001127399404273,"score_spread":0.28325391520627996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955134673","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58456516,0.0028603142,0.32926688,0.001849888,0.00043261095,0.00040914046,0.0028499456,0.0013573746,0.07640874],"genre_scores_gemma":[0.9759661,0.00082989625,0.017431043,0.0001095358,0.00005422291,0.00022527926,0.0008458994,0.00009930629,0.0044387667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997751,0.000064717984,0.000011619926,0.000021300204,0.00010286623,0.000024507688],"domain_scores_gemma":[0.9991709,0.00048403398,0.00004824431,0.0000985558,0.00016889015,0.000029400928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003920427,0.0006402721,0.0008205093,0.0004066421,0.00059553416,0.0011056825,0.0016873538,0.0011323338,0.0031349654],"category_scores_gemma":[0.0022755286,0.0003047353,0.00070262764,0.00042424677,0.0005015977,0.00084125804,0.0006280081,0.0010577545,0.00046504347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058182006,0.000031792937,0.0005448974,0.000054332173,0.000009181898,0.000072941235,0.000028548158,0.991459,0.0014517909,0.0026831368,0.00039572516,0.003210411],"study_design_scores_gemma":[0.0000055672,0.000018794353,0.00012182152,0.0000038711505,0.0000042094503,0.0000089685045,0.0000061478886,0.99877363,0.00026448673,0.00038251115,0.00040593097,0.000004023472],"about_ca_topic_score_codex":0.01516565,"about_ca_topic_score_gemma":0.007416225,"teacher_disagreement_score":0.01516565,"about_ca_system_score_codex":0.0010484933,"about_ca_system_score_gemma":0.00074296084,"threshold_uncertainty_score":0.030154765},"labels":[],"label_agreement":null},{"id":"W2955319232","doi":"10.5539/mer.v9n1p11","title":"Design of Electro-Mechanical Underwater Vehicle Engine: An Efficient No-fuel Consuming Substitute for Marine Diesel and Nuclear Engine","year":2019,"lang":"en","type":"article","venue":"Mechanical Engineering Research","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Diesel engine; Automotive engineering; Underwater; Marine engineering; Diesel fuel; Environmental science; Engineering; Geology; Oceanography","score_opus":0.030718527629255674,"score_gpt":0.2842264970723914,"score_spread":0.2535079694431357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955319232","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1829773,0.001253657,0.767292,0.00029523973,0.00023160466,0.00037891537,0.00016600048,0.00045122532,0.04695411],"genre_scores_gemma":[0.90317255,0.0006179042,0.07344904,0.00006696488,0.00004085505,0.0003064424,0.00016586696,0.00007283736,0.022107646],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998535,0.000018988878,0.000007667146,0.000030661387,0.0000701703,0.00001904272],"domain_scores_gemma":[0.9999311,0.000005986343,0.000011579036,0.0000036563847,0.00004131242,0.0000063299576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017055601,0.0004944887,0.00038597564,0.00031136535,0.00031257916,0.00038728575,0.0007556958,0.00047556727,0.0015458069],"category_scores_gemma":[0.00012429859,0.00023676413,0.00038189397,0.00013404869,0.00015411482,0.0002593832,0.00028931862,0.0001846868,0.0004751982],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005223144,0.0001737907,0.0027442668,0.0010472772,0.0001556243,0.00052184245,0.00013738724,0.5350873,0.34706977,0.019067578,0.002323536,0.09114937],"study_design_scores_gemma":[0.00009450887,0.0010487251,0.0032431525,0.000033066477,0.00016292025,0.00041272418,0.00010378523,0.8852891,0.08263371,0.0014274614,0.025504533,0.0000463194],"about_ca_topic_score_codex":0.0011347503,"about_ca_topic_score_gemma":0.0013316104,"teacher_disagreement_score":0.0015458069,"about_ca_system_score_codex":0.00028329476,"about_ca_system_score_gemma":0.00045930326,"threshold_uncertainty_score":0.005171299},"labels":[],"label_agreement":null},{"id":"W2956063092","doi":"10.1016/j.egyr.2019.06.016","title":"Electric vehicle battery thermal management system with thermoelectric cooling","year":2019,"lang":"en","type":"article","venue":"Energy Reports","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":365,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Thermoelectric cooling; Computer cooling; Battery (electricity); Water cooling; Coolant; Materials science; Nuclear engineering; Air cooling; Thermoelectric effect; Condenser (optics); TEC; Automotive engineering; Mechanical engineering; Thermal management of electronic devices and systems; Power (physics); Engineering; Thermodynamics","score_opus":0.004034776204503199,"score_gpt":0.18641271409795465,"score_spread":0.18237793789345144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956063092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9706062,0.00035987183,0.021669628,0.00010405716,0.000090124246,0.00015397671,0.00027686614,0.0009073556,0.0058319396],"genre_scores_gemma":[0.992847,0.00008989774,0.003792053,0.000020510837,0.0000067015976,0.00007571643,0.00013167317,0.000027770544,0.0030085852],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983513,0.000017860695,0.000008680599,0.0000407977,0.000063268184,0.00003416977],"domain_scores_gemma":[0.9999081,0.0000074906316,0.00000786805,0.00001654396,0.000051024344,0.000008967421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001607684,0.0002870256,0.00047813228,0.00028000693,0.0003370998,0.00034425766,0.0007159103,0.00025277215,0.0025663432],"category_scores_gemma":[0.00017233592,0.00012191845,0.00016613824,0.00031061287,0.00015300114,0.0005112901,0.00026654216,0.00023773452,0.0006243334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010803432,0.00039682697,0.0044114077,0.0005918758,0.00006729877,0.000582001,0.00026932659,0.012701765,0.89068544,0.001042958,0.0029241608,0.08524656],"study_design_scores_gemma":[0.000119460004,0.0017062994,0.00781793,0.000025460058,0.000070822214,0.00048876315,0.0001533916,0.08048981,0.892336,0.00024990615,0.016500393,0.000041692318],"about_ca_topic_score_codex":0.0009795757,"about_ca_topic_score_gemma":0.0008870892,"teacher_disagreement_score":0.0025663432,"about_ca_system_score_codex":0.000336983,"about_ca_system_score_gemma":0.0004340411,"threshold_uncertainty_score":0.008585274},"labels":[],"label_agreement":null},{"id":"W2962571744","doi":"10.1016/j.jestch.2019.07.005","title":"Blind and task-ware multi-cell battery management system","year":2019,"lang":"en","type":"article","venue":"Engineering Science and Technology an International Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Task (project management); Battery (electricity); Task management; Computer science; Engineering; Systems engineering; Physics","score_opus":0.008075683466231791,"score_gpt":0.25077179409719463,"score_spread":0.24269611063096283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962571744","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.115753055,0.00069434405,0.8725742,0.00027595405,0.00018722126,0.0001620495,0.00012683666,0.0023473066,0.007879066],"genre_scores_gemma":[0.9266087,0.00018114141,0.066171825,0.00013233039,0.000037473586,0.00009861928,0.00009857659,0.000057702353,0.0066136965],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996767,0.000045768174,0.000026174243,0.00007767674,0.00013152586,0.000042035863],"domain_scores_gemma":[0.9995648,0.000060325714,0.00006364171,0.00009323962,0.00016912102,0.000048933918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003931037,0.00038097092,0.00051287864,0.00041346328,0.00068424275,0.0007938683,0.0010035253,0.00051406305,0.0020124824],"category_scores_gemma":[0.0010408162,0.0001912877,0.0003293922,0.00039418068,0.00027242614,0.0012734381,0.0007341981,0.00039811878,0.0005339269],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010227809,0.00046456978,0.0036530425,0.00035760543,0.00008949672,0.00029805937,0.00029779115,0.36482984,0.12705046,0.011012648,0.0073734396,0.48355028],"study_design_scores_gemma":[0.000042373667,0.00030273956,0.00094515365,0.0000124622575,0.000025018235,0.00016033085,0.0000435956,0.9666299,0.022968395,0.003393944,0.0054412247,0.000034733283],"about_ca_topic_score_codex":0.0023802503,"about_ca_topic_score_gemma":0.0035467292,"teacher_disagreement_score":0.0023802503,"about_ca_system_score_codex":0.0006316274,"about_ca_system_score_gemma":0.0010432866,"threshold_uncertainty_score":0.006732464},"labels":[],"label_agreement":null},{"id":"W2962736777","doi":"10.1049/joe.2018.9234","title":"State‐of‐Charge estimation of Li‐ion battery at different temperatures using particle filter","year":2019,"lang":"en","type":"article","venue":"The Journal of Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Battery (electricity); State of charge; Particle filter; Residual; Computer science; Heuristic; Transient (computer programming); Algorithm; Filter (signal processing); Control theory (sociology); Computation; Power (physics); Artificial intelligence","score_opus":0.014421973523573982,"score_gpt":0.24773981456742386,"score_spread":0.23331784104384987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962736777","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2560428,0.0004445795,0.7380459,0.00017950707,0.00006834255,0.00004690955,0.00013847387,0.00080665713,0.004226845],"genre_scores_gemma":[0.9782325,0.00016824178,0.020370198,0.000020981535,0.000009981995,0.000036839512,0.00010216143,0.0000142718445,0.0010447019],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999317,0.000011172027,0.0000045011784,0.000019283514,0.000023091892,0.000010249223],"domain_scores_gemma":[0.9998503,0.00005862873,0.00002064492,0.000011189927,0.000053869084,0.0000053420595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020527763,0.0003564636,0.00042434403,0.00029336865,0.00022597649,0.00054132054,0.00039511276,0.0005488793,0.0005813653],"category_scores_gemma":[0.0006548757,0.00018862741,0.00035844586,0.00027883638,0.00014748942,0.00045918007,0.00019682173,0.00035589584,0.00013480356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016501424,0.0000773353,0.0055622137,0.00011215783,0.0000678059,0.000093320035,0.00010167172,0.9152748,0.012406266,0.0011829041,0.0008355467,0.06412087],"study_design_scores_gemma":[0.0000032483367,0.000012674684,0.0009120918,0.0000020387504,0.000005148443,0.0000061290125,0.0000044821827,0.99729794,0.0014948834,0.0001541631,0.00010359718,0.0000035817648],"about_ca_topic_score_codex":0.008487923,"about_ca_topic_score_gemma":0.0059800465,"teacher_disagreement_score":0.008487923,"about_ca_system_score_codex":0.00032866353,"about_ca_system_score_gemma":0.0003617754,"threshold_uncertainty_score":0.016876996},"labels":[],"label_agreement":null},{"id":"W2964551436","doi":"10.11159/htff19.173","title":"Thermal Management of Lithium-Ion Battery Using Heat Pipes in ESS","year":2019,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lithium (medication); Thermal management of electronic devices and systems; Battery (electricity); Ion; Nuclear engineering; Lithium-ion battery; Thermal; Materials science; Environmental science; Computer science; Engineering; Chemistry; Mechanical engineering; Thermodynamics; Physics; Medicine","score_opus":0.008485728789566086,"score_gpt":0.2199275521345208,"score_spread":0.21144182334495473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964551436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7789494,0.004274671,0.18760249,0.0005814866,0.0003085448,0.00009161657,0.00019554415,0.0011243821,0.0268718],"genre_scores_gemma":[0.9898286,0.00038442272,0.0028890013,0.00002509279,0.000020843025,0.000011332231,0.00003622968,0.000024473115,0.006779966],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99994147,0.000013603382,0.000004434274,0.000011807524,0.000020493184,0.000008261576],"domain_scores_gemma":[0.99993646,0.000015960071,0.0000066480993,0.000007705653,0.000028306571,0.000004917021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013997321,0.00018255277,0.00035859252,0.0001339673,0.0003038325,0.00049641717,0.00037432677,0.0002334713,0.0025482192],"category_scores_gemma":[0.00014657642,0.0001212888,0.00019755821,0.00017175013,0.00020347354,0.0008084472,0.00027354166,0.00017459609,0.00037813094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018473611,0.00021526095,0.005621065,0.0007507114,0.00007915934,0.0007111979,0.00048412333,0.14614218,0.64346284,0.00865112,0.004904061,0.18713096],"study_design_scores_gemma":[0.000056558994,0.0009994336,0.008029349,0.00006439091,0.00010074724,0.00034408516,0.00032152698,0.66820097,0.29224133,0.004822859,0.02477366,0.000045172732],"about_ca_topic_score_codex":0.00026523232,"about_ca_topic_score_gemma":0.00060413615,"teacher_disagreement_score":0.0025482192,"about_ca_system_score_codex":0.00023144887,"about_ca_system_score_gemma":0.0001352021,"threshold_uncertainty_score":0.008524656},"labels":[],"label_agreement":null},{"id":"W2965189910","doi":"10.1016/j.etran.2019.100009","title":"Comparing four model-order reduction techniques, applied to lithium-ion battery-cell internal electrochemical transfer functions","year":2019,"lang":"en","type":"article","venue":"eTransportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"General Motors of Canada; Advanced Research Projects Agency - Energy; General Motors Corporation; U.S. Department of Energy","keywords":"Electrochemistry; Reduction (mathematics); Battery (electricity); Lithium (medication); Lithium-ion battery; Ion; Model order reduction; Transfer function; Order (exchange); Materials science; Computer science; Electrode; Chemistry; Electrical engineering; Mathematics; Thermodynamics; Engineering; Physics; Algorithm; Power (physics); Medicine; Physical chemistry","score_opus":0.01387330600094852,"score_gpt":0.23392602994089207,"score_spread":0.22005272393994355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965189910","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.120144576,0.0008435868,0.8650362,0.00017408571,0.00018629975,0.00014645248,0.00015293327,0.0023484323,0.010967472],"genre_scores_gemma":[0.760325,0.0008567227,0.22636196,0.00008327909,0.000055279215,0.00019590335,0.00061296305,0.00043066425,0.011078171],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977237,0.00007067399,0.000014157705,0.000026187336,0.00008695868,0.00002961381],"domain_scores_gemma":[0.9995453,0.00023926946,0.000018594976,0.00007043343,0.000117041905,0.000009438099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004039191,0.00080432964,0.0005064913,0.0004733568,0.00042127082,0.0007050914,0.00060854584,0.00057125225,0.0036469013],"category_scores_gemma":[0.0015593813,0.00014998307,0.0009149949,0.00040245012,0.00019230963,0.0005919819,0.00031865353,0.00070639484,0.00096918666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001437254,0.0005442831,0.0016183703,0.0009398236,0.00025752687,0.00011497221,0.00034497978,0.24187534,0.07503634,0.011626574,0.0027821683,0.6634224],"study_design_scores_gemma":[0.000067768895,0.00034435582,0.0018190973,0.000020022419,0.00013603616,0.000075587035,0.00010221533,0.9317799,0.05900486,0.0020975852,0.0045164945,0.00003600916],"about_ca_topic_score_codex":0.005527854,"about_ca_topic_score_gemma":0.0065190177,"teacher_disagreement_score":0.005527854,"about_ca_system_score_codex":0.00038940745,"about_ca_system_score_gemma":0.00063687767,"threshold_uncertainty_score":0.012200117},"labels":[],"label_agreement":null},{"id":"W2965589356","doi":"10.11159/iccpe19.121","title":"Production and Characterization of Metal Oxide Loaded Reduced Graphene Oxide Nanocomposites","year":2019,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Graphene; Oxide; Nanocomposite; Characterization (materials science); Materials science; Metal; Nanotechnology; Chemical engineering; Metallurgy; Engineering","score_opus":0.006339946943157234,"score_gpt":0.2022730829631573,"score_spread":0.19593313602000006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965589356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860385,0.00084591773,0.0084982,0.00007838146,0.000045881854,0.00010233356,0.00095960585,0.00023926148,0.0031920767],"genre_scores_gemma":[0.9836768,0.0004928887,0.011135254,0.000041636315,0.000013130642,0.000075479526,0.0011541216,0.000091595924,0.0033191869],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985445,0.000008451123,0.000017051512,0.000035361725,0.00006678733,0.000017963912],"domain_scores_gemma":[0.9998276,0.000026441196,0.000051308263,0.000018401579,0.000050317456,0.000025906938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014551042,0.00030330778,0.00015429538,0.0005922424,0.00014835248,0.00025422376,0.00023316164,0.00023386163,0.0007886239],"category_scores_gemma":[0.00029518473,0.00017021532,0.00021806319,0.00028346063,0.00013739563,0.00019695071,0.00013929205,0.00030293816,0.00028930398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009757742,0.000011509333,0.00005046245,0.00001436432,0.000001390317,0.000020716068,0.0000070690885,0.0000465049,0.99939406,0.0000104459805,0.000009729578,0.00042382246],"study_design_scores_gemma":[0.0000025204217,0.000056581113,0.0014605479,0.000002374193,0.000007992326,0.00004096129,0.000011260844,0.00057140837,0.9969676,0.000011490832,0.0008637243,0.000003632995],"about_ca_topic_score_codex":0.00042596844,"about_ca_topic_score_gemma":0.0008883914,"teacher_disagreement_score":0.0007886239,"about_ca_system_score_codex":0.0001317723,"about_ca_system_score_gemma":0.00008755725,"threshold_uncertainty_score":0.0026382208},"labels":[],"label_agreement":null},{"id":"W2965662949","doi":"10.1109/isie.2019.8781248","title":"A Low-Cost Battery Charger Usable with Sinusoidal Ripple-Current and Pulse Charging Algorithms for E-Bike Applications","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery charger; Electrical engineering; Ripple; Voltage; Battery (electricity); Amplifier; Computer science; Converters; Power (physics); Waveform; Electronic engineering; Engineering; CMOS; Physics","score_opus":0.017513602523736446,"score_gpt":0.2709427278778735,"score_spread":0.25342912535413703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965662949","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05730098,0.0017445451,0.91726375,0.00033642142,0.00030817196,0.0005153485,0.000246126,0.004430241,0.017854398],"genre_scores_gemma":[0.7602064,0.0013004405,0.20156436,0.00060397136,0.00020703801,0.0005726822,0.0004712121,0.00030305216,0.034770716],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996451,0.000037726542,0.000029345954,0.000055629916,0.00019588436,0.000036302514],"domain_scores_gemma":[0.9997627,0.000028769444,0.000034798282,0.00003456517,0.0001216802,0.000017490434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024752415,0.00050799694,0.00077472883,0.00056791946,0.00035388448,0.0007452172,0.002108293,0.00078545255,0.004404017],"category_scores_gemma":[0.00043526053,0.00028966443,0.00042372293,0.00035310618,0.00016761119,0.0009482706,0.00043768913,0.00046987683,0.002748849],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055809383,0.00022074308,0.0015017346,0.0018779176,0.00015665918,0.00080237916,0.0001899521,0.007813907,0.52899945,0.0052423906,0.0112892585,0.44134763],"study_design_scores_gemma":[0.00033471448,0.0041804016,0.00931677,0.00023232594,0.00046065138,0.009815193,0.00022818036,0.13536718,0.6308145,0.0022243082,0.20677109,0.00025468908],"about_ca_topic_score_codex":0.00041180724,"about_ca_topic_score_gemma":0.00065085344,"teacher_disagreement_score":0.004404017,"about_ca_system_score_codex":0.00031875505,"about_ca_system_score_gemma":0.00038593958,"threshold_uncertainty_score":0.014732897},"labels":[],"label_agreement":null},{"id":"W2965929649","doi":"10.1109/isie.2019.8781156","title":"Control Strategy for a Battery Energy Storage System with Parallel Paths","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Battery (electricity); Energy storage; Computer science; Converters; Control (management); Power (physics); Controller (irrigation); Grid; Computer data storage; Energy (signal processing); Stability (learning theory); Control engineering; Voltage; Engineering; Electrical engineering; Computer hardware","score_opus":0.011311753230878472,"score_gpt":0.22586785832709408,"score_spread":0.21455610509621562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965929649","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060994208,0.0006395458,0.9190466,0.00059424003,0.00026108112,0.00029809863,0.00009080776,0.0009520171,0.017123353],"genre_scores_gemma":[0.9755515,0.00021604245,0.018882586,0.00009022667,0.000048126672,0.00015096758,0.000030156913,0.000013532768,0.005016857],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998692,0.000020038615,0.000011402533,0.000044481618,0.000036966238,0.00001783358],"domain_scores_gemma":[0.99987185,0.00002304183,0.000028192188,0.000009673862,0.00005668195,0.000010426147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025336354,0.000586769,0.00042305517,0.00033619907,0.0006449641,0.0010457395,0.0008552399,0.00054949045,0.0029753635],"category_scores_gemma":[0.00026897425,0.00018890495,0.00031586635,0.00027242693,0.00045524165,0.00042574696,0.00048672955,0.00054213405,0.00034008402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004971287,0.00022219754,0.0009083042,0.0003933992,0.00013685577,0.00061664823,0.00034384578,0.764455,0.06700708,0.026665246,0.004156436,0.1345979],"study_design_scores_gemma":[0.000054531185,0.00017725064,0.00016640124,0.000013993579,0.00003268227,0.00006808024,0.000023761602,0.99135005,0.003908972,0.0023332788,0.0018581297,0.000012829993],"about_ca_topic_score_codex":0.004935528,"about_ca_topic_score_gemma":0.0037855906,"teacher_disagreement_score":0.004935528,"about_ca_system_score_codex":0.000553882,"about_ca_system_score_gemma":0.00057540694,"threshold_uncertainty_score":0.009953618},"labels":[],"label_agreement":null},{"id":"W2966125641","doi":"10.1109/gpecom.2019.8778563","title":"A Moving Window Least Mean Square Approach to State of Charge Estimation for Lithium Ion Batteries","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"State of charge; Battery (electricity); Voltage; Control theory (sociology); Lithium-ion battery; Computer science; Window (computing); Equivalent circuit; Ion; Mean squared error; Estimation theory; Algorithm; Engineering; Electrical engineering; Mathematics; Power (physics); Physics; Statistics; Artificial intelligence","score_opus":0.017953620566439447,"score_gpt":0.2566483432441049,"score_spread":0.23869472267766545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966125641","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006553019,0.00043812275,0.99195576,0.000040674615,0.00004149525,0.000013151061,0.000018344434,0.00029100446,0.0006484016],"genre_scores_gemma":[0.59610635,0.001552717,0.39592922,0.0001100606,0.00013987692,0.00013505614,0.00020528738,0.00014513735,0.0056763263],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998448,0.000030359477,0.0000107617625,0.00004594793,0.00005630002,0.0000119512615],"domain_scores_gemma":[0.999821,0.000074466014,0.000024676832,0.000017211705,0.000057983958,0.00000480196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025816562,0.0005445804,0.0005064462,0.0003167928,0.00022290337,0.00042585697,0.0005860005,0.00048008002,0.0009982773],"category_scores_gemma":[0.0012284729,0.00028901699,0.00033866274,0.00046152686,0.00017752004,0.00069484225,0.0003189523,0.0007435225,0.0004032558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013468885,0.00008400445,0.0010843095,0.00019145354,0.000090196365,0.00012021967,0.00013679905,0.4876712,0.047041714,0.008645368,0.0019255779,0.4528745],"study_design_scores_gemma":[0.0000027644471,0.000032357857,0.00024471426,0.0000043468217,0.000006279291,0.000022320459,0.00000582675,0.995391,0.00259078,0.0008030566,0.0008883327,0.000008170494],"about_ca_topic_score_codex":0.0031166493,"about_ca_topic_score_gemma":0.0025489272,"teacher_disagreement_score":0.0031166493,"about_ca_system_score_codex":0.00022829414,"about_ca_system_score_gemma":0.0003521226,"threshold_uncertainty_score":0.0061969757},"labels":[],"label_agreement":null},{"id":"W2966310677","doi":"10.1109/iemdc.2019.8785331","title":"Coordinated Power Sharing for Enhanced Utilization of Mixed Energy Storage Media in Dual-Inverter Electric Vehicles","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Supercapacitor; Voltage; Inverter; Energy storage; Electrical engineering; Computer science; Power management; Energy management; AC power; Automotive engineering; Power (physics); Engineering; Energy (signal processing); Capacitance; Physics","score_opus":0.01656260017907172,"score_gpt":0.2525411004397145,"score_spread":0.2359785002606428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966310677","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45243618,0.00067324756,0.5324281,0.00017239171,0.00011343189,0.000083941406,0.00013043884,0.0009795165,0.012982744],"genre_scores_gemma":[0.99319834,0.0000265922,0.0061756237,0.000008506725,0.000005318658,0.000012252312,0.000016470707,0.000008504187,0.0005482451],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999174,0.000009795586,0.0000062344334,0.000022327835,0.000028149194,0.000016202875],"domain_scores_gemma":[0.9999335,0.000012689166,0.00001172709,0.000012110177,0.000021264239,0.00000885057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009734051,0.00024495923,0.00027561342,0.00025673973,0.00022806897,0.00050983956,0.00069420587,0.0001427194,0.0013312503],"category_scores_gemma":[0.0001529625,0.000101079226,0.00009484568,0.00020840087,0.00017235958,0.0005352872,0.0004691513,0.00019029625,0.00020706373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014393001,0.00042678963,0.0021596376,0.0003152356,0.0000710661,0.00053883495,0.00037207117,0.09137074,0.53688097,0.023103137,0.0032812392,0.340041],"study_design_scores_gemma":[0.00009035167,0.000454551,0.0011068044,0.00001747769,0.000028491428,0.00022055107,0.00009555432,0.8452262,0.1375839,0.007145091,0.008006947,0.000024181238],"about_ca_topic_score_codex":0.00033128654,"about_ca_topic_score_gemma":0.00085632486,"teacher_disagreement_score":0.0013312503,"about_ca_system_score_codex":0.00022143812,"about_ca_system_score_gemma":0.00016439459,"threshold_uncertainty_score":0.0044534206},"labels":[],"label_agreement":null},{"id":"W2966750892","doi":"10.1109/isie.2019.8781330","title":"Hybrid State of Charge Estimation Approach for Lithium-ion Batteries using k-Nearest Neighbour and Gaussian Filter-based Error Cancellation","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"State of charge; Battery (electricity); Computer science; Gaussian; Lithium (medication); Voltage; Energy (signal processing); Lithium-ion battery; Automotive engineering; Engineering; Electrical engineering; Power (physics); Mathematics; Chemistry; Statistics","score_opus":0.028169785512156157,"score_gpt":0.2737113439473344,"score_spread":0.24554155843517822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966750892","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016398683,0.00043149493,0.9809006,0.000052565938,0.0000717844,0.000029953451,0.00003203195,0.0007981211,0.0012847714],"genre_scores_gemma":[0.78404605,0.00057545,0.20876232,0.0001588057,0.00008769073,0.00013172414,0.0002297128,0.000084494364,0.00592384],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995782,0.0000513711,0.000034121396,0.00009953316,0.00018960916,0.00004728643],"domain_scores_gemma":[0.9995552,0.00012641356,0.00005083433,0.000025352125,0.0002262377,0.000015841128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004914056,0.0006552765,0.00096131687,0.00074252347,0.00044335323,0.0007253278,0.0011038617,0.00079404004,0.0012249472],"category_scores_gemma":[0.0013330106,0.00034535854,0.0006379797,0.0007025527,0.00027706617,0.0009691992,0.00056611,0.00053757866,0.000547275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004267672,0.00018775438,0.0025203316,0.00026672048,0.00017344482,0.00019787403,0.00024237839,0.3685508,0.026929103,0.0029941914,0.0020451858,0.59546554],"study_design_scores_gemma":[0.000008716325,0.000040838084,0.0005645769,0.000006277169,0.000015967978,0.000046158282,0.000016005988,0.99447507,0.0036170187,0.0005507603,0.000642144,0.000016541797],"about_ca_topic_score_codex":0.0108921155,"about_ca_topic_score_gemma":0.013468739,"teacher_disagreement_score":0.0108921155,"about_ca_system_score_codex":0.00056116976,"about_ca_system_score_gemma":0.0007494643,"threshold_uncertainty_score":0.021657467},"labels":[],"label_agreement":null},{"id":"W2967384725","doi":"10.1109/itec.2019.8790478","title":"Fast Charging Systems to Enable Electrification of Transportation: An Operational Constrained Based Analysis","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Electrification; Grid; Benchmark (surveying); Computer science; Key (lock); Voltage; Voltage drop; Electric power system; Automotive engineering; Electricity; Power (physics); Electrical engineering; Engineering; Operating system","score_opus":0.01164005960561386,"score_gpt":0.25068714289142724,"score_spread":0.23904708328581337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967384725","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17619331,0.0017339096,0.79230636,0.00073834864,0.000084834086,0.00020725398,0.00039143363,0.0002391848,0.028105399],"genre_scores_gemma":[0.9799253,0.00082727877,0.015596152,0.000056315203,0.000024803006,0.00006561637,0.00013815773,0.000035966154,0.0033304302],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974865,0.000105167455,0.000007346862,0.00002081306,0.000069348825,0.00004864575],"domain_scores_gemma":[0.9996381,0.00022264016,0.000035178848,0.000013237097,0.00008011431,0.000010812203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007719002,0.0006626539,0.00042406924,0.00042958363,0.0002517243,0.00097523286,0.00040220065,0.00049235224,0.0038835614],"category_scores_gemma":[0.0014530801,0.00022710203,0.00066756795,0.00045604107,0.00029893726,0.0007559716,0.00043408954,0.0006434495,0.00013796396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002244992,0.00001654943,0.0002443545,0.000034666817,0.000019751691,0.00004298552,0.000017143917,0.98443097,0.0006131205,0.007547425,0.00042576817,0.0065847673],"study_design_scores_gemma":[0.0000014866534,0.000015984646,0.00013962913,0.000004000749,0.0000059376885,0.0000053275216,0.000010671655,0.99837303,0.00010253298,0.0010794346,0.00026038958,0.0000014513319],"about_ca_topic_score_codex":0.009556812,"about_ca_topic_score_gemma":0.006040189,"teacher_disagreement_score":0.009556812,"about_ca_system_score_codex":0.0006173489,"about_ca_system_score_gemma":0.0006119696,"threshold_uncertainty_score":0.019002318},"labels":[],"label_agreement":null},{"id":"W2967508814","doi":"10.1109/itec.2019.8790516","title":"Modeling and Control of a Hardware Efficient Low-Voltage-to-Cell Battery Balancing Circuit for Electric Vehicle Range Extension","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Inrush current; Computer science; Constant power circuit; Voltage; Electric vehicle; Converters; Low voltage; Battery (electricity); Electrical engineering; Electrical load; Automotive battery; Electronic engineering; Power (physics); Engineering; Switched-mode power supply; Transformer","score_opus":0.010041893647083985,"score_gpt":0.22258604956641456,"score_spread":0.21254415591933057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967508814","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051937122,0.00044300087,0.91791797,0.000278498,0.00011495845,0.00016233772,0.00016294884,0.001025666,0.027957587],"genre_scores_gemma":[0.95521617,0.00031316324,0.034804553,0.00006966125,0.000031917985,0.00016533119,0.00006880878,0.000054374683,0.009276172],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998838,0.000012883632,0.0000045961356,0.00002839002,0.00005325165,0.000016997525],"domain_scores_gemma":[0.9999176,0.000020704556,0.000017794806,0.000011760706,0.000027719292,0.0000044136723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012628731,0.0003545641,0.00032759868,0.00018353766,0.0003285567,0.0006490676,0.0011892222,0.00041016037,0.0034356674],"category_scores_gemma":[0.00020883032,0.00018331151,0.0003209815,0.00014442764,0.00030584948,0.0005671159,0.00022606354,0.0004089056,0.0004325847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010933009,0.00009938814,0.00067545305,0.00020195883,0.000032826312,0.00016942566,0.000114408685,0.8481604,0.07942346,0.02466467,0.0016890329,0.04465968],"study_design_scores_gemma":[0.000014783491,0.00006118297,0.00019582844,0.000007837427,0.000011631538,0.000036638095,0.000008189477,0.9874277,0.00802015,0.0010741309,0.0031362267,0.0000057577213],"about_ca_topic_score_codex":0.0037991325,"about_ca_topic_score_gemma":0.005167454,"teacher_disagreement_score":0.0037991325,"about_ca_system_score_codex":0.0006608914,"about_ca_system_score_gemma":0.00071610743,"threshold_uncertainty_score":0.011493444},"labels":[],"label_agreement":null},{"id":"W2967924933","doi":"10.1109/itec.2019.8790562","title":"Analysis of Auxiliary Power Unit and Charging for an 800V Electric Vehicle","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Galvanic isolation; Auxiliary power unit; Battery (electricity); Topology (electrical circuits); Electric vehicle; Electrical engineering; Voltage; Battery pack; Power (physics); Engineering; Grid; Automotive engineering; Computer science; Transformer","score_opus":0.016016591655660634,"score_gpt":0.27955371049041394,"score_spread":0.2635371188347533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967924933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46126837,0.0011227286,0.45419404,0.00022054536,0.0000679186,0.00008988781,0.00019180546,0.00033865558,0.082506135],"genre_scores_gemma":[0.9900461,0.0001945264,0.0048789103,0.000008976667,0.000007799503,0.000016941565,0.00004456847,0.00002104888,0.004781262],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991345,0.000018661045,0.0000015874448,0.000009261874,0.0000422132,0.000014923585],"domain_scores_gemma":[0.9999201,0.00002906333,0.000008138657,0.000006904713,0.00003154999,0.0000042615197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011231397,0.00031281318,0.0002445159,0.00024412619,0.00021286604,0.00051357795,0.00036098112,0.00032548953,0.0031483772],"category_scores_gemma":[0.00032423084,0.00013739264,0.00036131783,0.00025893646,0.00021495821,0.0004425206,0.00013636479,0.00018404376,0.00039151497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018250033,0.00003297493,0.0017032434,0.00025542354,0.000045921042,0.00030461818,0.00009050538,0.88546216,0.035598107,0.031907853,0.0015596026,0.04285707],"study_design_scores_gemma":[0.000004523415,0.00011914289,0.0010091714,0.000007335586,0.00001577337,0.000113603266,0.000045212266,0.9879376,0.0046642236,0.003452724,0.0026252503,0.0000055110604],"about_ca_topic_score_codex":0.0012649327,"about_ca_topic_score_gemma":0.0017905426,"teacher_disagreement_score":0.0031483772,"about_ca_system_score_codex":0.000526513,"about_ca_system_score_gemma":0.0002993819,"threshold_uncertainty_score":0.010532379},"labels":[],"label_agreement":null},{"id":"W2968756605","doi":"10.1109/itec.2019.8790474","title":"Offline Parameter Identification and SOC Estimation for New and Aged Electric Vehicles Batteries","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Overcharge; Battery (electricity); State of health; State of charge; Automotive engineering; Battery pack; Reliability (semiconductor); Electric vehicle; Genetic algorithm; Engineering; Computer science; Power (physics); Control theory (sociology); Control (management)","score_opus":0.016950456958647615,"score_gpt":0.27226152852322255,"score_spread":0.25531107156457494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968756605","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19824609,0.00068610057,0.79753685,0.00007771295,0.000039493585,0.00003857316,0.00011150885,0.00092394947,0.0023396898],"genre_scores_gemma":[0.97448844,0.0001820714,0.023869695,0.000015511825,0.000010109576,0.000028902072,0.00013202251,0.000025298332,0.0012480166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991345,0.000016968228,0.0000072374364,0.000023980667,0.000025811649,0.000012396828],"domain_scores_gemma":[0.9998548,0.000051065435,0.000024667079,0.00001532359,0.00004857155,0.000005502369],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019159565,0.0005077682,0.00045297082,0.0004086658,0.00017045879,0.00041198553,0.00034702374,0.00037669786,0.0006778987],"category_scores_gemma":[0.00064709876,0.00020923054,0.0003220795,0.00020714862,0.00013854679,0.00047481718,0.00022051507,0.0002718429,0.00022749692],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018313024,0.000066967004,0.004237352,0.00014930841,0.000055207776,0.00014180307,0.00010494144,0.77041817,0.022363042,0.0009558901,0.0005682253,0.200756],"study_design_scores_gemma":[0.000004439632,0.000036265657,0.0013148017,0.0000044450207,0.00000790734,0.000028165692,0.000015654816,0.99441636,0.0034576666,0.0003643252,0.00034388318,0.0000061201104],"about_ca_topic_score_codex":0.004455172,"about_ca_topic_score_gemma":0.0038247944,"teacher_disagreement_score":0.004455172,"about_ca_system_score_codex":0.00023252825,"about_ca_system_score_gemma":0.00030421047,"threshold_uncertainty_score":0.008858502},"labels":[],"label_agreement":null},{"id":"W2968793727","doi":"10.1109/itec.2019.8790589","title":"Design and Control of 3-Phase Integrated Charger for Dual-Inverter Drivetrain Electric Vehicles","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Drivetrain; Automotive engineering; Inverter; Dual (grammatical number); Electric vehicle; Energy storage; Grid; Computer science; Power (physics); Capacitor; Electrical engineering; Engineering; Torque; Voltage","score_opus":0.01559046951155849,"score_gpt":0.26390982056850626,"score_spread":0.24831935105694777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968793727","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07042705,0.00035711302,0.90943503,0.00021497795,0.00020292457,0.00026115665,0.000120049066,0.0017555631,0.017226126],"genre_scores_gemma":[0.9654449,0.00013004841,0.03049784,0.00008387401,0.000038301932,0.00012419725,0.00006431616,0.000043905387,0.0035725788],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997013,0.000027724423,0.000016686587,0.00007537969,0.00014204066,0.00003686129],"domain_scores_gemma":[0.9997904,0.000032745284,0.000050080434,0.000013479184,0.00009943493,0.000013925467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034042154,0.0004767485,0.0004008248,0.00020347431,0.00035423454,0.0008994657,0.0007897034,0.0004343257,0.0018902329],"category_scores_gemma":[0.00031698405,0.00021693132,0.0002921506,0.00014629563,0.00024747392,0.0002421571,0.0002850814,0.00047908298,0.0004574123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006860752,0.00043521723,0.0032101509,0.0006756187,0.00022885863,0.0008890419,0.00065936055,0.38729244,0.31324947,0.014189154,0.008471475,0.27001312],"study_design_scores_gemma":[0.000112133646,0.0009719016,0.001925664,0.00002231053,0.00006878055,0.00023341281,0.00004661334,0.94935554,0.03579586,0.001169262,0.010262401,0.000036112277],"about_ca_topic_score_codex":0.0019193963,"about_ca_topic_score_gemma":0.0027672022,"teacher_disagreement_score":0.0019193963,"about_ca_system_score_codex":0.00038164575,"about_ca_system_score_gemma":0.0005850939,"threshold_uncertainty_score":0.0063235164},"labels":[],"label_agreement":null},{"id":"W2969003269","doi":"10.1109/itec.2019.8790543","title":"Li-ion Battery State of Charge Estimation Using Long Short-Term Memory Recurrent Neural Network with Transfer Learning","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canada Research Chairs","keywords":"Transfer of learning; Kalman filter; State of charge; Computer science; Artificial neural network; Battery (electricity); Extended Kalman filter; Deep learning; Artificial intelligence; State (computer science); Recurrent neural network; Transfer (computing); Machine learning; Algorithm; Power (physics)","score_opus":0.02020441734771398,"score_gpt":0.26403169810496846,"score_spread":0.2438272807572545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969003269","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25572395,0.001185464,0.73388314,0.0003083772,0.00016036099,0.00006820231,0.00019701257,0.002771556,0.0057019847],"genre_scores_gemma":[0.9677067,0.0002064657,0.029414166,0.00005612627,0.000025767276,0.000039203194,0.00021806957,0.000027050115,0.0023065533],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999001,0.000013288293,0.000007858681,0.000031829873,0.000032613767,0.000014265778],"domain_scores_gemma":[0.9997856,0.000061457395,0.000033833192,0.000019036852,0.0000923355,0.000007690556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031940817,0.0004963743,0.0003948554,0.00031727066,0.0001861796,0.00043420584,0.0006647842,0.00040317318,0.00076595624],"category_scores_gemma":[0.0008817625,0.00022381677,0.00033469376,0.00026763562,0.0001606498,0.0008609531,0.00033225756,0.00049607846,0.0002668862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021601004,0.00019300717,0.0050875437,0.00012504027,0.00015818469,0.00013073513,0.00007251609,0.70524853,0.017700322,0.0014256664,0.0018461322,0.26779634],"study_design_scores_gemma":[0.0000022123058,0.00001419363,0.00029740803,0.000002181768,0.0000054786274,0.0000058427686,0.0000024795347,0.9975527,0.0017604599,0.000247698,0.00010601992,0.0000033989913],"about_ca_topic_score_codex":0.007294617,"about_ca_topic_score_gemma":0.009421607,"teacher_disagreement_score":0.007294617,"about_ca_system_score_codex":0.000539592,"about_ca_system_score_gemma":0.0003850622,"threshold_uncertainty_score":0.0145043135},"labels":[],"label_agreement":null},{"id":"W2969333725","doi":"10.1016/j.est.2019.100884","title":"Passive hybrid energy storage system based on lithium-ion capacitor for an electric motorcycle","year":2019,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Université de Sherbrooke","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Battery (electricity); Sizing; Battery pack; Energy storage; Topology (electrical circuits); Capacitor; Voltage; Root mean square; Lithium (medication); Automotive engineering; Electrical engineering; Electronic engineering; Computer science; Materials science; Engineering; Power (physics); Chemistry; Physics","score_opus":0.009693657912189244,"score_gpt":0.22946924615973419,"score_spread":0.21977558824754495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969333725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86035496,0.0030271076,0.10722131,0.00088134944,0.00056015624,0.00019919875,0.00086062064,0.004113448,0.022781817],"genre_scores_gemma":[0.9895571,0.00018996366,0.002462131,0.0000764391,0.000035927085,0.000036646095,0.00013590431,0.000016033971,0.00748979],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989223,0.0000117463505,0.000011125274,0.000036733494,0.000032386477,0.000015795744],"domain_scores_gemma":[0.99991155,0.00001178147,0.0000059560216,0.00001177217,0.000046511992,0.000012488436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001396362,0.00036447955,0.0008182391,0.0003043268,0.0009073366,0.00059389323,0.0011691856,0.0005297839,0.0069849016],"category_scores_gemma":[0.00007392354,0.00015696918,0.00027665147,0.0003219386,0.00019711828,0.0006745475,0.00040797508,0.00022967636,0.00080905133],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0048096995,0.0005505425,0.005568736,0.001926846,0.0003888911,0.0022261827,0.00049980485,0.020398788,0.7307579,0.00363881,0.015854789,0.21337904],"study_design_scores_gemma":[0.00080501114,0.0048408094,0.017643644,0.00020406394,0.00080150604,0.0026777885,0.0007618956,0.5488763,0.35633564,0.0028566073,0.06397948,0.00021727984],"about_ca_topic_score_codex":0.001632116,"about_ca_topic_score_gemma":0.004075555,"teacher_disagreement_score":0.0069849016,"about_ca_system_score_codex":0.00030416987,"about_ca_system_score_gemma":0.0003651788,"threshold_uncertainty_score":0.023366809},"labels":[],"label_agreement":null},{"id":"W2971502107","doi":"10.1049/iet-est.2018.5097","title":"ICE/HPM generator range extender for a series hybrid EV powertrain","year":2019,"lang":"en","type":"article","venue":"IET Electrical Systems in Transportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Magna International (Canada)","funders":"","keywords":"Prime mover; Automotive engineering; Generator (circuit theory); Range (aeronautics); Battery (electricity); Powertrain; Battery pack; Hybrid power; Auxiliary power unit; Electric generator; Engineering; Rectifier (neural networks); Permanent magnet synchronous generator; Power (physics); Electrical engineering; Mechanical engineering; Computer science; Torque; Magnet; Aerospace engineering; Voltage; Physics","score_opus":0.0117870833080402,"score_gpt":0.24507381388748725,"score_spread":0.23328673057944704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971502107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59229654,0.00062985223,0.36313754,0.00018778782,0.00013465744,0.00034731659,0.00056352525,0.00349766,0.03920515],"genre_scores_gemma":[0.97816867,0.00009354031,0.014305218,0.000019783049,0.000009566686,0.00007347519,0.00019509831,0.00005259791,0.0070820968],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99994683,0.000007939791,0.0000030214148,0.000008743237,0.000027813976,0.000005730489],"domain_scores_gemma":[0.9999671,0.0000067507453,0.000004669883,0.000007694169,0.000010181285,0.0000036611746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000109913664,0.00024012422,0.00026569577,0.00017612572,0.00014481872,0.00025514895,0.00055740995,0.00018464755,0.0033515843],"category_scores_gemma":[0.000120510864,0.00009971291,0.00020530816,0.00012510849,0.000091724265,0.000293958,0.00027658266,0.00030103308,0.00066845736],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010751674,0.00043386474,0.007124381,0.0007656017,0.00012284021,0.0013212992,0.00020601263,0.32868692,0.3597773,0.006381417,0.00684086,0.28726435],"study_design_scores_gemma":[0.00015843601,0.0016099156,0.007866095,0.000045033757,0.00008247812,0.0011208924,0.000068756424,0.7853444,0.15575133,0.0017779869,0.046125237,0.0000493901],"about_ca_topic_score_codex":0.0005471829,"about_ca_topic_score_gemma":0.0008174758,"teacher_disagreement_score":0.0033515843,"about_ca_system_score_codex":0.00013987675,"about_ca_system_score_gemma":0.00014465353,"threshold_uncertainty_score":0.01121223},"labels":[],"label_agreement":null},{"id":"W2972103458","doi":"10.1088/1742-6596/1303/1/012118","title":"The study of equivalent circuit model of battery based on parameters identification multi-dimensional look-up table method","year":2019,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"China Electric Power Research Institute; Ministère de l'Économie, de l’Innovation et des Exportations du Québec; Electric Power Research Institute","keywords":"Equivalent circuit; Correctness; Battery (electricity); Lookup table; Computer science; Table (database); Identification (biology); Control theory (sociology); Voltage; Algorithm; Engineering; Data mining; Electrical engineering; Artificial intelligence","score_opus":0.0755493696201393,"score_gpt":0.3143142240520203,"score_spread":0.238764854431881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972103458","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0230335,0.00042036863,0.9693768,0.00012721986,0.00005179049,0.00004474141,0.00010857207,0.0008108483,0.0060260207],"genre_scores_gemma":[0.92260826,0.00059364946,0.06988128,0.00008414794,0.000022171118,0.00013613331,0.0002406635,0.000116835436,0.0063167927],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999765,0.000065880944,0.000011817211,0.000039075032,0.00010336415,0.0000149481875],"domain_scores_gemma":[0.99980074,0.00007577222,0.000019116898,0.00004460694,0.000056388137,0.0000033965782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021179586,0.0004095132,0.00040891714,0.00028897813,0.00020356785,0.0006455893,0.000855431,0.0004379107,0.0032607273],"category_scores_gemma":[0.0008199579,0.00020926344,0.0004698672,0.00028541722,0.0002256544,0.0012136757,0.0002134294,0.00044469797,0.00060706947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010655617,0.00005135652,0.0011388581,0.00038809568,0.00007612046,0.0004315529,0.00020009086,0.8180246,0.051568124,0.035419438,0.0028282115,0.089767046],"study_design_scores_gemma":[0.0000044010603,0.000030788517,0.00017376505,0.000008726275,0.000010519616,0.000079700934,0.000015122783,0.9928635,0.0035464687,0.0019737715,0.0012865791,0.0000066590937],"about_ca_topic_score_codex":0.0020442712,"about_ca_topic_score_gemma":0.0015392847,"teacher_disagreement_score":0.0032607273,"about_ca_system_score_codex":0.00035004842,"about_ca_system_score_gemma":0.00026393897,"threshold_uncertainty_score":0.010908246},"labels":[],"label_agreement":null},{"id":"W2972216679","doi":"10.1149/2.0981913jes","title":"A Wide Range of Testing Results on an Excellent Lithium-Ion Cell Chemistry to be used as Benchmarks for New Battery Technologies","year":2019,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":442,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"U.S. Department of Defense","keywords":"Lithium (medication); Battery (electricity); Electrolyte; Energy storage; Range (aeronautics); Ion; Engineering physics; Energy density; Materials science; Nanotechnology; Nuclear engineering; Chemistry; Computer science; Reliability engineering; Electrical engineering; Power (physics); Engineering; Physics; Electrode; Thermodynamics; Physical chemistry","score_opus":0.016683788209169277,"score_gpt":0.2569374328067825,"score_spread":0.24025364459761323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972216679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8857414,0.008259202,0.04859154,0.001037804,0.00024023134,0.0006967264,0.003760525,0.0017874856,0.049885046],"genre_scores_gemma":[0.95653975,0.002602244,0.025516555,0.0004134701,0.000057813635,0.00029553546,0.0033375511,0.0003862903,0.01085084],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970086,0.00028103858,0.00024348641,0.00028429253,0.0020011454,0.00018141043],"domain_scores_gemma":[0.99717677,0.00044791112,0.0001523773,0.00034217685,0.0017221025,0.00015864479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025238395,0.0007470972,0.00061357865,0.0014699803,0.00075876544,0.0010077817,0.0009367584,0.0010377131,0.0033456122],"category_scores_gemma":[0.0030479087,0.00018655491,0.00058132317,0.0008887898,0.00048393485,0.0014289083,0.0009815281,0.0005905303,0.001356004],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068538846,0.0003490261,0.008031793,0.00084569864,0.00008480662,0.00050055626,0.00020744055,0.009085934,0.9098286,0.0019540836,0.003574017,0.06485267],"study_design_scores_gemma":[0.000030833817,0.0024141276,0.005513318,0.000037583755,0.00004281407,0.0004293608,0.00014541166,0.003024755,0.9710481,0.00069496117,0.016571697,0.0000471103],"about_ca_topic_score_codex":0.00063498697,"about_ca_topic_score_gemma":0.0010793785,"teacher_disagreement_score":0.0033456122,"about_ca_system_score_codex":0.00043899304,"about_ca_system_score_gemma":0.00030189502,"threshold_uncertainty_score":0.0133475065},"labels":[],"label_agreement":null},{"id":"W2972811639","doi":"10.1149/2.0151914jes","title":"User-Friendly Freeware for Determining the Concentration of Electrolyte Components in Lithium-Ion Cells Using Fourier Transform Infrared Spectroscopy, Beer's Law, and Machine Learning","year":2019,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrolyte; Fourier transform infrared spectroscopy; Lithium (medication); Infrared; Analytical Chemistry (journal); Chemistry; Ion; Fourier transform; Work (physics); Spectroscopy; Replicate; Biological system; Chemical engineering; Thermodynamics; Physics; Physical chemistry; Optics; Statistics; Mathematics; Chromatography; Organic chemistry; Engineering","score_opus":0.010882099325552865,"score_gpt":0.24222813853022868,"score_spread":0.2313460392046758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972811639","genre_codex":"software","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057173516,0.0005850089,0.27944705,0.00028836148,0.00030335653,0.00063202233,0.039996676,0.66250074,0.010529438],"genre_scores_gemma":[0.08374849,0.0020513637,0.5178893,0.0024856087,0.000307935,0.005763989,0.08273454,0.23377752,0.07124114],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899346,0.00008606687,0.00007951076,0.00020590251,0.0005383686,0.000096639764],"domain_scores_gemma":[0.9947876,0.0023966513,0.00042092413,0.0011958033,0.0010042476,0.00019482899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016609968,0.0028977026,0.0015412237,0.0020743695,0.0005175516,0.000960876,0.0039166873,0.001859962,0.19177386],"category_scores_gemma":[0.008578516,0.0020363475,0.001419946,0.0015729002,0.00041445714,0.002272949,0.0021311713,0.002224409,0.099240035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011786253,0.0006523286,0.007381268,0.0034412646,0.00043990123,0.0010735057,0.00028685358,0.009921925,0.04595159,0.0037029944,0.5598604,0.36610934],"study_design_scores_gemma":[0.0011680715,0.00044776543,0.022154797,0.0015881007,0.00029992277,0.0023347463,0.00018063482,0.1787282,0.24144368,0.021686984,0.52923423,0.00073281117],"about_ca_topic_score_codex":0.0012291302,"about_ca_topic_score_gemma":0.0033559962,"teacher_disagreement_score":0.19177386,"about_ca_system_score_codex":0.0007965291,"about_ca_system_score_gemma":0.0010225961,"threshold_uncertainty_score":0.64154744},"labels":[],"label_agreement":null},{"id":"W2976098016","doi":"10.3390/en12193721","title":"Extreme Fast Charging Technology—Prospects to Enhance Sustainable Electric Transportation","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":198,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Transformer; Electrical engineering; Automotive engineering; Electronics; Battery (electricity); Engineering; Computer science; Voltage; Power (physics)","score_opus":0.005450559984591672,"score_gpt":0.23342586263788134,"score_spread":0.22797530265328966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2976098016","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12741634,0.23327,0.36486664,0.015438245,0.0029457554,0.0001445658,0.00034571174,0.0011503224,0.25442243],"genre_scores_gemma":[0.71904343,0.18030114,0.05501352,0.0010796986,0.00077494874,0.00007304794,0.000336159,0.00012741341,0.04325067],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9999057,0.000011936224,0.000003658622,0.000015459798,0.000044665518,0.000018441138],"domain_scores_gemma":[0.9999281,0.00001596344,0.000006934801,0.00000713495,0.000033408913,0.000008449352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024781554,0.00021758716,0.00019879019,0.00037653142,0.00019235695,0.0010078158,0.00044172574,0.0006750392,0.0031325493],"category_scores_gemma":[0.00020472815,0.00011860529,0.00024721568,0.0004695473,0.00030622527,0.0023634734,0.000596068,0.000618604,0.0011328505],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014126502,0.00014034504,0.0011573465,0.0014414351,0.00003883821,0.00056425284,0.00019667867,0.01196962,0.10378883,0.30753127,0.016898831,0.5561313],"study_design_scores_gemma":[0.000026302636,0.0005842409,0.0009852904,0.00036828517,0.00004140567,0.0014542177,0.00049555115,0.030791854,0.089713596,0.12614298,0.7493226,0.00007360531],"about_ca_topic_score_codex":0.00018519854,"about_ca_topic_score_gemma":0.0002618271,"teacher_disagreement_score":0.0031325493,"about_ca_system_score_codex":0.0003555208,"about_ca_system_score_gemma":0.00027079164,"threshold_uncertainty_score":0.01047945},"labels":[],"label_agreement":null},{"id":"W2976595056","doi":"10.1016/j.euroneuro.2019.08.068","title":"S67GENOME-WIDE LINKAGE STUDY OF CHILDHOOD GENDER NONCONFORMITY IN MALES","year":2019,"lang":"en","type":"article","venue":"European Neuropsychopharmacology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Computer science; Battery (electricity); Mean squared prediction error; Particle filter; White noise; Errors-in-variables models; Bayesian probability; Algorithm; Control theory (sociology); Kalman filter; Artificial intelligence; Machine learning; Power (physics)","score_opus":0.018109298691168976,"score_gpt":0.28254093604614816,"score_spread":0.2644316373549792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2976595056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960788,0.0007744598,0.00036292197,0.00019535293,0.00003313437,0.00000838917,0.0015962698,0.000013967923,0.0009366484],"genre_scores_gemma":[0.99704117,0.00034751993,0.00028141597,0.00008282172,0.000021526443,0.000014479431,0.0008437369,0.000022120774,0.0013451828],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992531,0.00015324836,0.000043212618,0.00030565736,0.00010272784,0.000142081],"domain_scores_gemma":[0.9994172,0.00016541933,0.00019865035,0.00007816092,0.00006141572,0.0000793444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004289947,0.0005865798,0.00045115966,0.0009890123,0.0010597147,0.0006311809,0.00055104686,0.0007015644,0.009340669],"category_scores_gemma":[0.0012314046,0.0003730505,0.001060614,0.0012854176,0.00025451844,0.000289344,0.00065891346,0.00059422443,0.000668379],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002531929,0.00019453633,0.9448415,0.0001443412,0.0013876491,0.003972371,0.0014845867,0.00019563662,0.020162076,0.0010866862,0.0025211931,0.021477366],"study_design_scores_gemma":[0.000070659946,0.000238438,0.9896672,0.000059052276,0.0007034357,0.0028430833,0.00067934213,0.00021026452,0.0020828957,0.00042556445,0.0029983688,0.00002174298],"about_ca_topic_score_codex":0.008879618,"about_ca_topic_score_gemma":0.009935391,"teacher_disagreement_score":0.009340669,"about_ca_system_score_codex":0.000303069,"about_ca_system_score_gemma":0.00048488655,"threshold_uncertainty_score":0.031247675},"labels":[],"label_agreement":null},{"id":"W2976921876","doi":"10.1109/sest.2019.8849063","title":"Flywheel-based Micro Energy Grid for Reliable Emergency Back-up Power for Nuclear Power Plant","year":2019,"lang":"en","type":"article","venue":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Flywheel; Nuclear power plant; Power (physics); Electrical engineering; Power grid; Energy (signal processing); Computer science; Nuclear engineering; Reliability engineering; Automotive engineering; Engineering; Physics; Nuclear physics","score_opus":0.018052106563410265,"score_gpt":0.24498580475880316,"score_spread":0.22693369819539289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2976921876","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20172119,0.0018847275,0.7491948,0.0008394236,0.0003357824,0.000215938,0.00035219573,0.0022040782,0.043252002],"genre_scores_gemma":[0.98845834,0.00022816607,0.0057458705,0.000028587161,0.000010581852,0.00003144033,0.000040610365,0.000015545329,0.005440851],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992216,0.000017396216,0.0000037542247,0.00001824971,0.000027487184,0.000010915852],"domain_scores_gemma":[0.9999651,0.000007837949,0.0000046859295,0.0000056022777,0.000013511981,0.0000033928468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007794094,0.0002727604,0.00027479007,0.00020186922,0.0004082639,0.00055211125,0.0007514317,0.00042890318,0.003907224],"category_scores_gemma":[0.00012170576,0.00013881232,0.00027349367,0.0001989529,0.00018070337,0.0007563399,0.0003083819,0.00033156903,0.00047657787],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046173474,0.00013464128,0.003213689,0.00028461986,0.00008112087,0.0011375911,0.00015601543,0.8191462,0.026946202,0.030363027,0.0055246535,0.1125505],"study_design_scores_gemma":[0.000025730096,0.00012139771,0.0005188255,0.000014791878,0.000018075418,0.0001594865,0.000053278978,0.9864645,0.0033949965,0.0048929066,0.004324936,0.000011130443],"about_ca_topic_score_codex":0.0039368225,"about_ca_topic_score_gemma":0.008710717,"teacher_disagreement_score":0.0039368225,"about_ca_system_score_codex":0.00043110186,"about_ca_system_score_gemma":0.00037116688,"threshold_uncertainty_score":0.013071001},"labels":[],"label_agreement":null},{"id":"W2980026967","doi":"10.1109/sege.2019.8859878","title":"Nuclear-Powered Hybrid Energy Storage-Based Fast Charging Station for Electrification Transportation","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Flywheel; Modular design; Energy storage; Battery (electricity); Automotive engineering; Electrification; Supercapacitor; Electrical engineering; Charging station; Reliability (semiconductor); Electric vehicle; Computer science; Engineering; Power (physics); Electricity","score_opus":0.0086209805229115,"score_gpt":0.22734279037829297,"score_spread":0.21872180985538148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980026967","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3443612,0.0028196508,0.59680575,0.00091858325,0.00061288336,0.00016816563,0.00068240013,0.0025425744,0.051088735],"genre_scores_gemma":[0.9819465,0.000372732,0.009546025,0.000048566864,0.000022790548,0.000033458207,0.00013511385,0.000016729926,0.007878011],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999379,0.000010768576,0.0000037258455,0.000014785979,0.000023330795,0.000009467295],"domain_scores_gemma":[0.9999596,0.00000868086,0.0000034784546,0.0000068777376,0.00001707977,0.000004368076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010024078,0.00022206863,0.00025620568,0.00022553136,0.00032462552,0.0004692207,0.000602907,0.0003478074,0.0052986015],"category_scores_gemma":[0.000098606986,0.0001028531,0.00021861026,0.00044348428,0.00014682823,0.0009993269,0.00034798484,0.0002562189,0.0007632694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015308046,0.0002834869,0.0047382712,0.0008555785,0.00019248055,0.0011394051,0.00019740227,0.1962421,0.26670924,0.059862558,0.018173384,0.4500753],"study_design_scores_gemma":[0.0001063815,0.00068523566,0.0023373445,0.00005059069,0.000105562896,0.0006858796,0.0001700935,0.84455574,0.09225795,0.011231103,0.047757685,0.00005655745],"about_ca_topic_score_codex":0.0007253312,"about_ca_topic_score_gemma":0.0012687087,"teacher_disagreement_score":0.0052986015,"about_ca_system_score_codex":0.00030747414,"about_ca_system_score_gemma":0.0002731161,"threshold_uncertainty_score":0.017725646},"labels":[],"label_agreement":null},{"id":"W2980204512","doi":"10.1149/ma2019-02/57/2452","title":"Next Generation Materials for Lithium-Ion Space Batteries","year":2019,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"EaglePicher (Canada)","funders":"","keywords":"Battery (electricity); Energy storage; Lithium (medication); Electrolyte; Materials science; Process engineering; Electrical engineering; Engineering physics; Computer science; Nanotechnology; Power (physics); Chemistry; Engineering; Electrode; Physics","score_opus":0.03309476830254359,"score_gpt":0.2709134659057635,"score_spread":0.2378186976032199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980204512","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026831143,0.31229356,0.07997974,0.0103783365,0.022473319,0.0009539117,0.0038602822,0.0033819254,0.53984785],"genre_scores_gemma":[0.22827333,0.22752886,0.12381308,0.010169089,0.0033743917,0.0023948876,0.0090261055,0.0013210484,0.3940992],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995912,0.0000344058,0.000016471911,0.000044890225,0.00026635532,0.00004671934],"domain_scores_gemma":[0.999796,0.00002611463,0.000021766013,0.000014995741,0.000106431864,0.000034678913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045116802,0.00070000265,0.00037104517,0.0008671803,0.0005469509,0.0012554403,0.0009913769,0.0017493205,0.03239801],"category_scores_gemma":[0.0008254462,0.00027580478,0.0004638612,0.0006055188,0.00025784288,0.002190489,0.0010986751,0.0019014411,0.019942755],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020416924,0.00032126118,0.00047691987,0.004940821,0.0000482338,0.00092401274,0.00039631667,0.0014756847,0.18429159,0.16742755,0.31223363,0.32725987],"study_design_scores_gemma":[0.000023323111,0.00013516512,0.0001357054,0.00027460448,0.000011286841,0.00047561832,0.000046801044,0.0007332041,0.033260815,0.007207469,0.95767045,0.000025487008],"about_ca_topic_score_codex":0.000390283,"about_ca_topic_score_gemma":0.0008467259,"teacher_disagreement_score":0.03239801,"about_ca_system_score_codex":0.000979123,"about_ca_system_score_gemma":0.0004767571,"threshold_uncertainty_score":0.108382165},"labels":[],"label_agreement":null},{"id":"W2980489123","doi":"10.1115/1.4045193","title":"Experimental Study of a Thermal Cooling Technique for Cylindrical Batteries","year":2019,"lang":"en","type":"article","venue":"Journal of Electrochemical Energy Conversion and Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coolant; Water cooling; Nuclear engineering; Air cooling; Active cooling; Materials science; Computer cooling; Phase-change material; Range (aeronautics); Thermal; Air conditioning; Free cooling; Passive cooling; Evaporative cooler; Environmental science; Ion; Lithium (medication); Mechanical engineering; Automotive engineering; Thermodynamics; Chemistry; Composite material; Engineering; Thermal management of electronic devices and systems; Physics","score_opus":0.008285419494860054,"score_gpt":0.24655748721266982,"score_spread":0.23827206771780976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980489123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9845748,0.00061735,0.011741262,0.00008399439,0.00012429204,0.00023884549,0.00033343578,0.00018246571,0.002103519],"genre_scores_gemma":[0.98893553,0.00033322847,0.008414356,0.000027034903,0.000017928434,0.00024214627,0.00017033919,0.0000409856,0.001818516],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99962366,0.000047387406,0.000024881361,0.000099556586,0.00015153618,0.000052937627],"domain_scores_gemma":[0.9994369,0.00011492985,0.00006651768,0.00010254557,0.00025053218,0.000028532393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006232184,0.0004808176,0.00041350644,0.00033225722,0.0005295789,0.0003256863,0.0007517755,0.00056721026,0.0025055837],"category_scores_gemma":[0.0011873551,0.00021742043,0.00030779678,0.00040163033,0.00040488443,0.0007036304,0.0003638217,0.00049919495,0.00050915626],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027736794,0.0001317771,0.0006462719,0.00031481596,0.0000086586315,0.00012821126,0.00022923255,0.0010227875,0.9901432,0.00050965423,0.000325073,0.006263061],"study_design_scores_gemma":[0.000051270068,0.0015665109,0.002583776,0.000023469856,0.000020905802,0.00013716199,0.00011458302,0.0044452716,0.9861167,0.00006758826,0.004841102,0.000031587926],"about_ca_topic_score_codex":0.00069802516,"about_ca_topic_score_gemma":0.0006300753,"teacher_disagreement_score":0.0025055837,"about_ca_system_score_codex":0.0002821637,"about_ca_system_score_gemma":0.0004535016,"threshold_uncertainty_score":0.008381963},"labels":[],"label_agreement":null},{"id":"W2980793625","doi":"10.4271/2019-01-5078","title":"Smart 24 V Battery Switch for a Reliable Redundant Power Supply in Commercial, Construction, and Agriculture Vehicles (CAV)","year":2019,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Infineon Technologies (Canada)","funders":"","keywords":"Battery (electricity); Power (physics); Electrical engineering; Automotive engineering; Agriculture; Computer science; Engineering; Reliability engineering","score_opus":0.00885183835350757,"score_gpt":0.23481459818487993,"score_spread":0.22596275983137237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980793625","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29265302,0.00457019,0.2719205,0.0036134326,0.0039662407,0.0009100504,0.003777472,0.026238224,0.39235097],"genre_scores_gemma":[0.82154584,0.001183747,0.027082948,0.00063317973,0.00016748201,0.00023107162,0.0020191278,0.00072569464,0.14641094],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998716,0.000013921354,0.0000054348557,0.00002294965,0.000065640175,0.000020372832],"domain_scores_gemma":[0.99991536,0.000009595619,0.0000046941454,0.000011705225,0.000044352353,0.000014362606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014904498,0.00024054674,0.00016757332,0.00024598764,0.00030608603,0.00058853975,0.0007258011,0.0003466683,0.020670192],"category_scores_gemma":[0.00013579876,0.00012465574,0.00018507868,0.0002797521,0.00017052414,0.0007312322,0.00035544488,0.0003816694,0.0077831326],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007933991,0.0003342698,0.0021337273,0.0006049072,0.000035813704,0.00080788403,0.00047031193,0.0058055343,0.21320382,0.017834648,0.2678684,0.49010724],"study_design_scores_gemma":[0.00013869522,0.0009094637,0.0032764478,0.00007995776,0.00004408101,0.0009989771,0.00027212966,0.03207833,0.10561334,0.00406895,0.8524557,0.00006394212],"about_ca_topic_score_codex":0.0013285688,"about_ca_topic_score_gemma":0.0019973693,"teacher_disagreement_score":0.020670192,"about_ca_system_score_codex":0.00033646487,"about_ca_system_score_gemma":0.00033406098,"threshold_uncertainty_score":0.06914872},"labels":[],"label_agreement":null},{"id":"W2981025102","doi":"10.1109/access.2019.2947843","title":"A Novel Machine Learning Method Based Approach for Li-Ion Battery Prognostic and Health Management","year":2019,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Key Research and Development Program of China; Beijing Jiaotong University; Nankai University; Chinese Academy of Sciences","keywords":"Computer science; Forgetting; Battery (electricity); Extreme learning machine; Artificial neural network; Artificial intelligence; Decomposition; Mechanism (biology); Health management system; Key (lock); Machine learning; Power (physics)","score_opus":0.05885027252630776,"score_gpt":0.3570971447457445,"score_spread":0.29824687221943674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981025102","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004360761,0.00032360174,0.9939203,0.000085251326,0.000034042543,0.000017552617,0.0000150161995,0.00018923395,0.0010541786],"genre_scores_gemma":[0.56475836,0.00092423405,0.4246685,0.0002992514,0.00018276993,0.0002097701,0.00017071098,0.00007692697,0.008709473],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982065,0.000027927328,0.000011936917,0.000051017396,0.00006746427,0.000021104672],"domain_scores_gemma":[0.9998448,0.000048202273,0.00001999407,0.000011286323,0.00006486108,0.000010851693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004178494,0.00056145387,0.00057674665,0.0005677511,0.00025571688,0.0005218069,0.0010363883,0.00088606065,0.0014245034],"category_scores_gemma":[0.00077231444,0.00022454222,0.0005237098,0.00046082944,0.00028673568,0.0007560156,0.0006866097,0.0006870375,0.000281117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006945355,0.00010676241,0.0016891527,0.00018101952,0.00009556121,0.00014808166,0.00007890039,0.5317156,0.012774407,0.0148674855,0.0025723851,0.43570122],"study_design_scores_gemma":[0.0000020709008,0.000015945045,0.0001074976,0.000003411243,0.000004911234,0.000018243449,0.00000242406,0.9976344,0.00053027144,0.0012408609,0.000437132,0.0000028573609],"about_ca_topic_score_codex":0.0029576076,"about_ca_topic_score_gemma":0.00294941,"teacher_disagreement_score":0.0029576076,"about_ca_system_score_codex":0.00043249456,"about_ca_system_score_gemma":0.0006924714,"threshold_uncertainty_score":0.005880773},"labels":[],"label_agreement":null},{"id":"W2981622896","doi":"10.1149/ma2019-02/5/291","title":"Investigating the Decomposition of Delithiated LiNi<sub>1-X</sub>M<sub>x</sub>O<sub>2 </sub>(M = Al, Co, Mn or Mg, x = 0 or 0.05)","year":2019,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Dalhousie University","funders":"","keywords":"Thermal runaway; Electrolyte; Electrode; Thermal decomposition; Lithium (medication); Exothermic reaction; Materials science; Ion; Battery (electricity); Analytical Chemistry (journal); Chemical engineering; Chemistry; Thermodynamics; Physical chemistry; Physics","score_opus":0.023273883185503004,"score_gpt":0.28544461727647347,"score_spread":0.26217073409097047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981622896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935343,0.0020928893,0.0011660315,0.00005532076,0.000023309964,0.000024485591,0.00048305796,0.000039222046,0.0025812017],"genre_scores_gemma":[0.99350005,0.0012561207,0.0014238465,0.000058275986,0.000008998008,0.000020730648,0.0005189596,0.000033886885,0.0031791814],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999069,0.000004942814,0.0000031337252,0.00002313415,0.000032414606,0.000029436478],"domain_scores_gemma":[0.999887,0.000016839878,0.000042299893,0.000005506173,0.00003746673,0.000010897909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012070338,0.00028700178,0.00017649269,0.00027217486,0.00018773924,0.00024347556,0.00025001363,0.0004028474,0.0023847383],"category_scores_gemma":[0.00018954999,0.00015813707,0.00015952009,0.00024154925,0.00025184336,0.0004582834,0.00016541618,0.0004653399,0.0004331828],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028067912,0.0000276536,0.0018339192,0.00026738056,0.000012311769,0.00018837905,0.00015096315,0.00037681236,0.9922924,0.00021656361,0.0001718828,0.0041809944],"study_design_scores_gemma":[0.000010019776,0.0003620281,0.015489319,0.000020335523,0.000022713779,0.00025923538,0.00032728733,0.003201254,0.9762264,0.00011259776,0.0039560418,0.000012879976],"about_ca_topic_score_codex":0.000709617,"about_ca_topic_score_gemma":0.001570766,"teacher_disagreement_score":0.0023847383,"about_ca_system_score_codex":0.00020873995,"about_ca_system_score_gemma":0.0001281754,"threshold_uncertainty_score":0.007977784},"labels":[],"label_agreement":null},{"id":"W2982485071","doi":"10.1002/fuce.201900089","title":"Passive and Active Coupling Comparison of Fuel Cell and Supercapacitor for a Three‐Wheel Electric Vehicle","year":2019,"lang":"en","type":"article","venue":"Fuel Cells","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Supercapacitor; Sizing; Stack (abstract data type); Automotive engineering; Powertrain; Electric vehicle; Power (physics); Energy storage; Electronic component; Capital cost; Coupling (piping); Computer science; Electrical engineering; Engineering; Torque; Electrode; Physics; Mechanical engineering; Chemistry; Capacitance","score_opus":0.01404296384513088,"score_gpt":0.2524221630595631,"score_spread":0.23837919921443224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982485071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94545114,0.00043186382,0.044992886,0.00008744959,0.00006879778,0.00006842886,0.00015735808,0.00040381367,0.00833827],"genre_scores_gemma":[0.9974353,0.00004572731,0.0015945184,0.000005751344,0.0000021997073,0.000010112633,0.000038751863,0.000005817191,0.0008619216],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997869,0.000032140804,0.000012564885,0.000033966884,0.00009331114,0.000041109422],"domain_scores_gemma":[0.9997683,0.00004827403,0.000022488293,0.000032644817,0.000101965205,0.000026180789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029036644,0.000542171,0.0004950357,0.00047106997,0.00035305638,0.00066745916,0.0011980799,0.00049093366,0.0032239472],"category_scores_gemma":[0.00028294305,0.00019541757,0.0003942021,0.00035870087,0.00027066076,0.000685156,0.00038168323,0.00030618964,0.000422581],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003937307,0.000903094,0.007305375,0.0008844331,0.0003564447,0.00068917306,0.00014644307,0.45903644,0.39951056,0.0041250065,0.0014837128,0.12162206],"study_design_scores_gemma":[0.0001109481,0.0039052912,0.008842898,0.00003365411,0.00029115737,0.00019855027,0.00023725834,0.75247514,0.22853166,0.0010240683,0.004304437,0.000044945533],"about_ca_topic_score_codex":0.0036366228,"about_ca_topic_score_gemma":0.004356856,"teacher_disagreement_score":0.0036366228,"about_ca_system_score_codex":0.00050990056,"about_ca_system_score_gemma":0.00031472137,"threshold_uncertainty_score":0.010785222},"labels":[],"label_agreement":null},{"id":"W2987586723","doi":"10.1109/tpel.2019.2950409","title":"A Modular Battery Voltage-Balancing System Using a Series-Connected Topology","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Modular design; Topology (electrical circuits); Voltage; Series and parallel circuits; Transformer; Waveform; Electromagnetic coil; Battery (electricity); Series (stratigraphy); Computer science; Electrical engineering; Electronic engineering; Engineering; Control theory (sociology); Physics; Power (physics)","score_opus":0.007207238343719299,"score_gpt":0.22725007528011248,"score_spread":0.22004283693639318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2987586723","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08549642,0.00031461014,0.89510536,0.00013070389,0.0002090609,0.00017512795,0.00017541528,0.003795281,0.014597944],"genre_scores_gemma":[0.85618204,0.00025553093,0.13224947,0.00013976099,0.00012294076,0.00024420983,0.00027416743,0.00013379985,0.010397934],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988925,0.000013593933,0.00000899641,0.000031146214,0.00004797154,0.000009159092],"domain_scores_gemma":[0.99989367,0.000009120241,0.000020073801,0.000022173781,0.00004378425,0.0000112944645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010914528,0.00041589502,0.00034398522,0.00042984437,0.00029514136,0.00036518666,0.0011169321,0.0003185527,0.00409224],"category_scores_gemma":[0.00015138104,0.00016371506,0.00024065687,0.00043003022,0.00016656508,0.00066210685,0.00036332136,0.00030496434,0.001261288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024113784,0.000230947,0.0011085445,0.0004689734,0.00010902517,0.00040524613,0.00017815967,0.041790795,0.56236285,0.012757691,0.0064789844,0.3738676],"study_design_scores_gemma":[0.0002599873,0.00254276,0.004745342,0.0001039675,0.00023071391,0.0026200693,0.000085594605,0.6251806,0.27429232,0.012744669,0.077067345,0.00012671265],"about_ca_topic_score_codex":0.0002211843,"about_ca_topic_score_gemma":0.00042814927,"teacher_disagreement_score":0.00409224,"about_ca_system_score_codex":0.00019289729,"about_ca_system_score_gemma":0.00016873157,"threshold_uncertainty_score":0.013689935},"labels":[],"label_agreement":null},{"id":"W2988827191","doi":"10.1002/cjce.23675","title":"Remaining useful life prediction of lithium‐ion battery based on an improved particle filter algorithm","year":2019,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Shaanxi Provincial Department of Education; National Natural Science Foundation of China","keywords":"Particle filter; Battery (electricity); Lithium-ion battery; Control theory (sociology); Kalman filter; Extended Kalman filter; Computer science; Stability (learning theory); Algorithm; State of charge; Power (physics); Artificial intelligence; Machine learning","score_opus":0.012663425457238003,"score_gpt":0.20696652540397356,"score_spread":0.19430309994673556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2988827191","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0524156,0.00033595224,0.9448754,0.0001244487,0.000069745314,0.000031224296,0.000060889015,0.0006215277,0.0014650754],"genre_scores_gemma":[0.9145766,0.0003042091,0.08193851,0.0000737363,0.0000539526,0.00010039083,0.00020195512,0.000030758594,0.002719995],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997764,0.000034265922,0.00001798253,0.00006654137,0.00007846047,0.000026404163],"domain_scores_gemma":[0.9995272,0.0001781017,0.00005058265,0.000030201312,0.00019560366,0.00001825524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041468954,0.0005759293,0.0008238351,0.0004982717,0.00030685097,0.0006218665,0.0006622239,0.00070468325,0.0009137919],"category_scores_gemma":[0.0012736268,0.00027382138,0.000508351,0.00036267805,0.00022600147,0.0006271247,0.0002636309,0.0005471769,0.00021905907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014042883,0.00006153873,0.0028893088,0.000070020935,0.00006094569,0.00007327899,0.000049850365,0.9018451,0.005326836,0.00140663,0.001046097,0.08702999],"study_design_scores_gemma":[0.000004252138,0.000009218719,0.00021833218,0.0000013189491,0.0000034187944,0.000003921357,0.0000012479547,0.999268,0.0003022761,0.00010886475,0.00007684827,0.000002328309],"about_ca_topic_score_codex":0.016589724,"about_ca_topic_score_gemma":0.0063818316,"teacher_disagreement_score":0.016589724,"about_ca_system_score_codex":0.0005282759,"about_ca_system_score_gemma":0.0008367028,"threshold_uncertainty_score":0.032986343},"labels":[],"label_agreement":null},{"id":"W2989771901","doi":"10.1109/ecce.2019.8913273","title":"An Integrated PV-Battery Soft-switched Power Converter with MPPT and Voltage Regulation","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Battery (electricity); Maximum power point tracking; Photovoltaic system; Electrical engineering; Voltage; Automotive battery; Power (physics); Computer science; Trickle charging; Boost converter; Automotive engineering; Engineering; Physics","score_opus":0.006458519830675089,"score_gpt":0.22326162831937402,"score_spread":0.21680310848869894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989771901","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.098056905,0.0009708513,0.8755969,0.00021939857,0.000311256,0.00024070176,0.000338125,0.0043153353,0.019950546],"genre_scores_gemma":[0.9039835,0.00039917426,0.08066251,0.0001951835,0.00007382108,0.00014626406,0.0002617726,0.0000941458,0.014183681],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99972135,0.000026522835,0.000013059448,0.000062758154,0.00015725166,0.000019005627],"domain_scores_gemma":[0.9998969,0.000015451422,0.0000074274235,0.000016502425,0.000055588076,0.000008180527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001289267,0.00027373497,0.00062440394,0.00028937653,0.00029618913,0.0006955446,0.0011867966,0.00048326203,0.0028810673],"category_scores_gemma":[0.00017925001,0.00021270312,0.00033505357,0.00054033083,0.00013032154,0.0005672154,0.0003168523,0.000630378,0.0009833585],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006210723,0.00057074253,0.0015847799,0.0008748502,0.00021448432,0.00062298815,0.00015093533,0.02709469,0.46988946,0.0057731806,0.0071499306,0.48545286],"study_design_scores_gemma":[0.00031660477,0.0014959382,0.004896941,0.00008918358,0.00021599735,0.002431491,0.00006856631,0.5743318,0.37201893,0.0039040758,0.040149752,0.00008074588],"about_ca_topic_score_codex":0.00049211056,"about_ca_topic_score_gemma":0.0012032675,"teacher_disagreement_score":0.0028810673,"about_ca_system_score_codex":0.0002481461,"about_ca_system_score_gemma":0.00030050403,"threshold_uncertainty_score":0.00963819},"labels":[],"label_agreement":null},{"id":"W2989966642","doi":"10.23919/epe.2019.8914958","title":"EV BMS with Distributed Switch Matrix for Active Balancing, Online Electrochemical Impedance Spectroscopy, and Auxiliary Power Supply","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Battery pack; USable; Battery (electricity); Electrical engineering; Converters; Power (physics); Dielectric spectroscopy; Electrical impedance; Auxiliary power unit; Computer science; Engineering; Voltage; Electrochemistry; Electrode; Physics","score_opus":0.0037029427452541534,"score_gpt":0.2562485252681956,"score_spread":0.2525455825229414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989966642","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4176386,0.0007779621,0.5579033,0.0005697346,0.00032427872,0.00033462414,0.00055746996,0.004164042,0.017730063],"genre_scores_gemma":[0.9224864,0.00019923194,0.06881598,0.00009637214,0.000039679497,0.00016461225,0.00024105524,0.00007509622,0.007881546],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982256,0.000020291538,0.000007503575,0.00003403334,0.00009753751,0.00001813523],"domain_scores_gemma":[0.9998716,0.000014013864,0.000015462942,0.000018412973,0.000065305685,0.000015173973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019508768,0.0004278425,0.00037706253,0.00032066953,0.0002441939,0.0004377442,0.0009914889,0.00035043908,0.002669736],"category_scores_gemma":[0.00022125854,0.00020118593,0.00017533399,0.00032281512,0.0002086691,0.000742366,0.0004838025,0.00030437816,0.00096912903],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034462725,0.00018300799,0.0013390206,0.00019744149,0.000032556713,0.00017518607,0.00009266526,0.0101098,0.89662355,0.0053967363,0.0031404432,0.08236492],"study_design_scores_gemma":[0.0001690077,0.0015308524,0.0031223265,0.00002764358,0.00006108428,0.0008941547,0.000090121364,0.14965202,0.79565144,0.0030267446,0.04572511,0.000049512724],"about_ca_topic_score_codex":0.00044972787,"about_ca_topic_score_gemma":0.0010272068,"teacher_disagreement_score":0.002669736,"about_ca_system_score_codex":0.00030064417,"about_ca_system_score_gemma":0.00028013805,"threshold_uncertainty_score":0.0089311},"labels":[],"label_agreement":null},{"id":"W2990466746","doi":"10.1049/iet-pel.2019.0777","title":"Analysis and design of single‐stage, two‐mode AC/DC converters for on‐board battery charging applications","year":2019,"lang":"en","type":"article","venue":"IET Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Converters; Battery (electricity); Topology (electrical circuits); Voltage; Electric-vehicle battery; Buck converter; Power (physics); Electric vehicle; Network topology; Electrical engineering; Electronic engineering; Computer science; Engineering; Physics","score_opus":0.013214486717461118,"score_gpt":0.2730282471269225,"score_spread":0.25981376040946136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990466746","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.087336116,0.002348258,0.87932384,0.00021854484,0.00011488816,0.00033475106,0.00016326766,0.00047814817,0.029682104],"genre_scores_gemma":[0.92398655,0.0016103716,0.061447427,0.000051360927,0.000037562593,0.00020836896,0.00014629106,0.000058807695,0.012453207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998253,0.000021599939,0.0000058264436,0.000026785849,0.00010563924,0.0000148886365],"domain_scores_gemma":[0.99986494,0.000029347286,0.000012433333,0.000013538668,0.000074044096,0.000005702191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018845033,0.00043837624,0.0003843137,0.00030131705,0.00024647973,0.0010271854,0.00068153086,0.00041360938,0.003450961],"category_scores_gemma":[0.00032015142,0.0002621346,0.00041248422,0.0002826928,0.00017985025,0.00046287244,0.00014806517,0.0004578156,0.00061633915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022211764,0.00023465934,0.0015381597,0.0015220254,0.00017552804,0.0003663311,0.00022767163,0.41796693,0.26313904,0.020979201,0.004200361,0.28942797],"study_design_scores_gemma":[0.000023031047,0.00025475246,0.0011739217,0.000051132592,0.000045129775,0.00020076787,0.000065413304,0.9538244,0.029936707,0.0030444246,0.011364077,0.000016243976],"about_ca_topic_score_codex":0.0012663068,"about_ca_topic_score_gemma":0.0021114221,"teacher_disagreement_score":0.003450961,"about_ca_system_score_codex":0.00038704972,"about_ca_system_score_gemma":0.0005988722,"threshold_uncertainty_score":0.011544585},"labels":[],"label_agreement":null},{"id":"W2990483000","doi":"10.1109/ecce.2019.8912287","title":"A Novel Systematic Approach to Construct and Assess Power Electronic Conversion Architectures Using Graph Theory and Its Application in Battery Systems","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Energie NB Power (Canada); University of New Brunswick","funders":"","keywords":"Graph theory; Construct (python library); Computer science; Battery (electricity); Graph; Electric power system; Directed graph; Theoretical computer science; Compromise; Reliability engineering; Power (physics); Algorithm; Engineering; Mathematics","score_opus":0.01189709123520315,"score_gpt":0.24307924652693585,"score_spread":0.2311821552917327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990483000","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017349073,0.00014277641,0.9954787,0.0000510867,0.000014630723,0.000068592744,0.000034885175,0.00010926021,0.0023652806],"genre_scores_gemma":[0.079177745,0.0004731771,0.9184872,0.000053187665,0.000032667063,0.00024173214,0.00015506381,0.00008700307,0.0012921831],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99835724,0.000665752,0.00008326976,0.00023383513,0.0006040637,0.0000556846],"domain_scores_gemma":[0.99812835,0.000914482,0.00015750092,0.000264447,0.0004964779,0.000038639544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014566177,0.0014575351,0.00069476385,0.004671659,0.00073687884,0.0018024704,0.0010865409,0.00092337414,0.0030447184],"category_scores_gemma":[0.0038892878,0.0005261397,0.0012409608,0.0023140956,0.0014733733,0.0024455145,0.0011490565,0.0014111921,0.00061952416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000416452,0.00013656408,0.002363601,0.00071835064,0.00016617453,0.00016785835,0.0005025905,0.257114,0.01371743,0.35002998,0.0028209342,0.372221],"study_design_scores_gemma":[0.0000260006,0.0002518797,0.0014739254,0.00024746853,0.00008488728,0.00033332227,0.00027913868,0.6792804,0.007789558,0.28889483,0.021225518,0.000113031536],"about_ca_topic_score_codex":0.0025096985,"about_ca_topic_score_gemma":0.0030429966,"teacher_disagreement_score":0.004671659,"about_ca_system_score_codex":0.0008215855,"about_ca_system_score_gemma":0.0012578298,"threshold_uncertainty_score":0.010185599},"labels":[],"label_agreement":null},{"id":"W2990780874","doi":"10.3390/batteries5040072","title":"Designs of Experiments for Beginners—A Quick Start Guide for Application to Electrode Formulation","year":2019,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hutchinson (Canada); Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Design of experiments; Set (abstract data type); Workflow; Software; Simple (philosophy); Optimal design; Industrial engineering; Machine learning; Mathematics; Statistics","score_opus":0.02927446328398382,"score_gpt":0.31876836474766673,"score_spread":0.2894939014636829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990780874","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004077341,0.0013289176,0.97824246,0.00050358986,0.0006292748,0.0055160634,0.0016789051,0.0053970627,0.006296032],"genre_scores_gemma":[0.0010115744,0.0012418691,0.983705,0.00030217593,0.00010875937,0.009787826,0.0004943603,0.00067852,0.0026699519],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9813737,0.012656741,0.0018575598,0.00087969966,0.0029177791,0.0003144579],"domain_scores_gemma":[0.9413984,0.04462111,0.001991178,0.0053109676,0.0060161464,0.0006621906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03661399,0.0053905924,0.0029084908,0.004057541,0.0012065576,0.0032204445,0.005447433,0.0035449702,0.050845236],"category_scores_gemma":[0.059467707,0.0037196178,0.0029617965,0.0028452927,0.0024995713,0.0021665506,0.00254779,0.008084823,0.032226022],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095580315,0.0013489574,0.0011382079,0.014334713,0.00048119662,0.0013333472,0.0024461453,0.021528473,0.032464348,0.09843321,0.20887221,0.6166635],"study_design_scores_gemma":[0.0005957458,0.0012997601,0.0011056514,0.003012863,0.00012134064,0.0006658497,0.00034932644,0.016362123,0.01006112,0.0877023,0.87851834,0.00020553407],"about_ca_topic_score_codex":0.0014556824,"about_ca_topic_score_gemma":0.0034632755,"teacher_disagreement_score":0.050845236,"about_ca_system_score_codex":0.0017319425,"about_ca_system_score_gemma":0.0052345446,"threshold_uncertainty_score":0.19363558},"labels":[],"label_agreement":null},{"id":"W2991063206","doi":"10.1109/tte.2019.2953606","title":"A Comparative Study of Control-Oriented Thermal Models for Cylindrical Li-Ion Batteries","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":135,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"National Natural Science Foundation of China","keywords":"Particle swarm optimization; Convection; Thermal; Thermal conduction; Computer science; Heat transfer; Lithium (medication); Materials science; Automotive industry; Mechanical engineering; Convective heat transfer; Nuclear engineering; Simulation; Algorithm; Mechanics; Aerospace engineering; Engineering; Thermodynamics; Physics; Composite material","score_opus":0.023844916724674814,"score_gpt":0.2794900410689015,"score_spread":0.2556451243442267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991063206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5434366,0.0023087505,0.42001742,0.00029383824,0.00009828864,0.00017945492,0.00054805394,0.00060505304,0.032512516],"genre_scores_gemma":[0.9856753,0.00073712465,0.011794444,0.000016439233,0.000008106021,0.00007845442,0.00017841224,0.0000279977,0.001483799],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998778,0.000040868756,0.00000908694,0.000017593331,0.000042397645,0.000012197311],"domain_scores_gemma":[0.9997255,0.00014098857,0.00003429216,0.00002804383,0.00005996787,0.000011175094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002536294,0.0005441943,0.00060860935,0.00031517568,0.00025636816,0.0006178401,0.00051540957,0.0004593254,0.0009525216],"category_scores_gemma":[0.0008343784,0.0001688832,0.000486544,0.00040659422,0.00027490067,0.00060296356,0.00025494784,0.00032562143,0.00013333683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038387356,0.000013421005,0.00031542522,0.000046709367,0.000005839309,0.00002673248,0.000028234399,0.9919658,0.0014610332,0.0015604611,0.000116059375,0.0044218944],"study_design_scores_gemma":[0.0000031529726,0.000031464675,0.00017514142,0.0000030357892,0.0000041627136,0.000008339012,0.0000112458465,0.9986172,0.0005228877,0.0002337776,0.00038611086,0.0000034638008],"about_ca_topic_score_codex":0.005296054,"about_ca_topic_score_gemma":0.0029773857,"teacher_disagreement_score":0.005296054,"about_ca_system_score_codex":0.0004244221,"about_ca_system_score_gemma":0.0004762886,"threshold_uncertainty_score":0.010530472},"labels":[],"label_agreement":null},{"id":"W2991237376","doi":"","title":"On the sizing and energy management of an hybrid multi-stack fuel cell - battery system","year":2016,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Stack (abstract data type); Sizing; Battery (electricity); Energy management; State of charge; Hybrid system; Fuel cells; Automotive engineering; Computer science; Representation (politics); Energy management system; Energy (signal processing); Simulation; Engineering; Power (physics); Chemical engineering; Mathematics; Operating system; Chemistry","score_opus":0.01673935816157196,"score_gpt":0.22695228928165445,"score_spread":0.2102129311200825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991237376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7163402,0.0021825398,0.25228307,0.00078013126,0.0001820514,0.00016019148,0.00046885724,0.0006767221,0.026926119],"genre_scores_gemma":[0.99231344,0.0001627377,0.0048667123,0.000028652958,0.000014532471,0.000012361975,0.00005552789,0.0000150102205,0.002531037],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992967,0.00001333037,0.0000054538946,0.000016665173,0.000021302338,0.000013469817],"domain_scores_gemma":[0.9999223,0.00003089,0.00000865228,0.0000065785794,0.000026782445,0.0000046969544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001432077,0.0003474445,0.00050186267,0.0002590209,0.00043342405,0.0011066372,0.00047750032,0.00036680055,0.003165967],"category_scores_gemma":[0.00033208277,0.00014129287,0.00020835975,0.00030805042,0.00018918488,0.0005801595,0.0003253688,0.00023123974,0.00021263662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005912815,0.000100825884,0.0014787536,0.00019688444,0.0000648699,0.0002413015,0.00008984255,0.80721825,0.072188534,0.0037020105,0.0015685116,0.11255896],"study_design_scores_gemma":[0.000010215145,0.00010547639,0.000624663,0.000008084445,0.000027000911,0.000034065262,0.00004360796,0.98416704,0.012525692,0.0013098043,0.0011388549,0.0000054157213],"about_ca_topic_score_codex":0.0056534773,"about_ca_topic_score_gemma":0.010435805,"teacher_disagreement_score":0.0056534773,"about_ca_system_score_codex":0.00041854006,"about_ca_system_score_gemma":0.00042426857,"threshold_uncertainty_score":0.011241138},"labels":[],"label_agreement":null},{"id":"W2991386557","doi":"10.1109/tie.2019.2956396","title":"Distributed Control of Active Cell Balancing and Low-Voltage Bus Regulation in Electric Vehicles Using Hierarchical Model-Predictive Control","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Government of Ontario; Compute Canada","keywords":"Battery (electricity); State of charge; Controller (irrigation); Battery pack; Automotive engineering; Electric vehicle; Voltage; Engineering; Computer science; Power (physics); Electrical engineering","score_opus":0.01749608197684063,"score_gpt":0.23278335389518717,"score_spread":0.21528727191834654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991386557","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21748963,0.00030809865,0.7716761,0.00020310566,0.000079236,0.00009982277,0.000056146244,0.0013971016,0.008690741],"genre_scores_gemma":[0.9936067,0.000030581672,0.0057780063,0.00001367487,0.0000066125963,0.00002526953,0.000014379563,0.000007463243,0.0005172959],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998361,0.000027433594,0.0000070117467,0.000043152188,0.000057661193,0.000028617816],"domain_scores_gemma":[0.99978906,0.0000742883,0.000044272037,0.000019671581,0.000056486508,0.000016261289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000352729,0.00049642974,0.00033367172,0.00019613627,0.00037366577,0.0006805524,0.000724428,0.00022529774,0.00080475514],"category_scores_gemma":[0.0004816208,0.00018995581,0.00021634057,0.00018268736,0.000484196,0.00038536754,0.00049341307,0.000546608,0.0001230375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012414633,0.000104266,0.0006096099,0.000049587332,0.000021968537,0.000052742063,0.000085878506,0.94524056,0.011809331,0.002339575,0.0005545532,0.03900787],"study_design_scores_gemma":[0.000010770544,0.00004204454,0.0001547239,0.0000017740094,0.0000041059907,0.0000037880598,0.0000062671725,0.99782735,0.0013279011,0.00046730257,0.00015144995,0.0000025558018],"about_ca_topic_score_codex":0.008978718,"about_ca_topic_score_gemma":0.010584906,"teacher_disagreement_score":0.008978718,"about_ca_system_score_codex":0.0006589018,"about_ca_system_score_gemma":0.0006804337,"threshold_uncertainty_score":0.017852902},"labels":[],"label_agreement":null},{"id":"W2992167896","doi":"10.1049/iet-est.2019.0113","title":"Comprehensive comparison and selection of magnetic materials for powertrain DC–DC converters","year":2019,"lang":"en","type":"article","venue":"IET Electrical Systems in Transportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Electric (Canada); Université de Sherbrooke","funders":"European Regional Development Fund; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Converters; Powertrain; Magnetic core; Core (optical fiber); Power (physics); Automotive engineering; Material selection; Chart; Selection (genetic algorithm); Computer science; Engineering; Electronic engineering; Electrical engineering; Materials science; Voltage; Electromagnetic coil; Mathematics; Physics; Torque","score_opus":0.012667251697856636,"score_gpt":0.2609201376354419,"score_spread":0.2482528859375853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992167896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78574634,0.005997153,0.16465344,0.00020836738,0.00006084284,0.0005231718,0.00074836233,0.0003761088,0.0416862],"genre_scores_gemma":[0.86417097,0.0025507924,0.12816414,0.000036827285,0.000014382354,0.00024471027,0.000975398,0.000078571014,0.003764095],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987759,0.0001887855,0.00007885595,0.000059451257,0.00084025215,0.000056780693],"domain_scores_gemma":[0.9993814,0.00017688195,0.00005170979,0.000048889586,0.00031430452,0.000026831214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013741519,0.0005881492,0.00065171777,0.003915056,0.0004984385,0.0011432426,0.00036428016,0.00032602617,0.0016219683],"category_scores_gemma":[0.0021617447,0.00016138276,0.00044508875,0.0025251242,0.00020761609,0.0009903277,0.00048560766,0.00020286525,0.00038795642],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006892117,0.00031365728,0.006608585,0.0015160736,0.00012308465,0.0004512626,0.00021454942,0.06060373,0.15449284,0.011916584,0.002513899,0.7605565],"study_design_scores_gemma":[0.00018019741,0.0038511925,0.06596,0.0008986761,0.00061532075,0.0013410655,0.0022659304,0.2940328,0.50217867,0.032832008,0.09559672,0.00024737406],"about_ca_topic_score_codex":0.00059977156,"about_ca_topic_score_gemma":0.0012348391,"teacher_disagreement_score":0.003915056,"about_ca_system_score_codex":0.000459418,"about_ca_system_score_gemma":0.000539383,"threshold_uncertainty_score":0.0072672963},"labels":[],"label_agreement":null},{"id":"W2994238144","doi":"10.1007/s10800-019-01373-4","title":"Fast operational mode switching effects on battery degradation","year":2019,"lang":"en","type":"article","venue":"Journal of Applied Electrochemistry","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Degradation (telecommunications); Battery (electricity); Electrochemistry; Mode (computer interface); Computer science; Environmental science; Telecommunications; Chemistry; Electrode; Power (physics); Physics; Thermodynamics","score_opus":0.0035880907022179716,"score_gpt":0.22545789278127196,"score_spread":0.221869802079054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994238144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969682,0.00050228974,0.0009742426,0.0000467784,0.00004130062,0.0000061676133,0.00015279447,0.000056524732,0.0012516539],"genre_scores_gemma":[0.99917275,0.00011808268,0.00012491015,0.000018550501,0.00000817564,0.0000027289077,0.00005954667,0.0000134978245,0.000481699],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986243,0.000013075749,0.000007304074,0.000025877715,0.000037366077,0.000053987667],"domain_scores_gemma":[0.99928004,0.00046300716,0.000036331297,0.000064752836,0.00011966442,0.000036145986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027012712,0.0002603239,0.00023463462,0.0001526226,0.0002101412,0.00041186812,0.00026353588,0.00031012585,0.004391309],"category_scores_gemma":[0.00092882727,0.000105983556,0.00018786674,0.00017402534,0.00023026444,0.0004973777,0.00014631293,0.0004696135,0.0002797916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004877034,0.0002365934,0.0033299744,0.00024434895,0.000045808458,0.0006897008,0.00037402342,0.0030539557,0.95354486,0.001416565,0.00072759896,0.031459507],"study_design_scores_gemma":[0.000059496597,0.0011450354,0.020557791,0.000032171763,0.000074977856,0.00046800738,0.00020720616,0.02144357,0.9532481,0.00083899376,0.0018998956,0.00002463514],"about_ca_topic_score_codex":0.0005480353,"about_ca_topic_score_gemma":0.00068878295,"teacher_disagreement_score":0.004391309,"about_ca_system_score_codex":0.00024971206,"about_ca_system_score_gemma":0.00015218982,"threshold_uncertainty_score":0.014690399},"labels":[],"label_agreement":null},{"id":"W2994647870","doi":"10.1109/iecon.2019.8927066","title":"State of Charge Estimation of Lithium-Ion Batteries Using Hybrid Machine Learning Technique","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"State of charge; Estimator; Battery (electricity); Computer science; Automotive industry; Lithium-ion battery; Automotive engineering; Engineering; Power (physics)","score_opus":0.013753744907980146,"score_gpt":0.2668480162704241,"score_spread":0.25309427136244395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994647870","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.165663,0.00083323714,0.8293657,0.00008537231,0.00004296967,0.000036288384,0.000097813296,0.0013718315,0.0025038125],"genre_scores_gemma":[0.9613219,0.00020885238,0.03736212,0.000021860349,0.000014181956,0.00003082827,0.00013437668,0.000018844637,0.0008869829],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998648,0.000026220921,0.00001222965,0.000032167078,0.00004888628,0.000015574115],"domain_scores_gemma":[0.9997533,0.000080697915,0.000045240755,0.000016961336,0.000098767785,0.0000049118285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025705644,0.00038145424,0.00043802094,0.0005108273,0.0001678394,0.00031937312,0.0004148257,0.00032714018,0.00043117563],"category_scores_gemma":[0.00084100076,0.00014044635,0.00032255857,0.00038645207,0.000094757896,0.00042588642,0.00015822561,0.00021606188,0.00018833592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002448447,0.00010655919,0.007151679,0.00014407645,0.00008069256,0.00011305713,0.00007606551,0.61168647,0.029083392,0.0010956929,0.0010389667,0.34917858],"study_design_scores_gemma":[0.0000023977393,0.000020035553,0.0008605264,0.0000027389153,0.0000053203275,0.000016155618,0.0000037986601,0.9964174,0.002383047,0.00015331709,0.00013074618,0.0000045620977],"about_ca_topic_score_codex":0.003667383,"about_ca_topic_score_gemma":0.0033550633,"teacher_disagreement_score":0.003667383,"about_ca_system_score_codex":0.00022316811,"about_ca_system_score_gemma":0.0002179738,"threshold_uncertainty_score":0.007292092},"labels":[],"label_agreement":null},{"id":"W2994924118","doi":"10.1115/ipack2019-6434","title":"Effects of Cooling Architecture and PCB Layout Co-Design on the Concurrent Thermal and Electrical Performance of an On-Board Electric Vehicle Charger","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Electric vehicle; Electrical engineering; Engineering; Printed circuit board; Computer science; Automotive engineering; Power (physics)","score_opus":0.009009335731058374,"score_gpt":0.23489895466455013,"score_spread":0.22588961893349174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994924118","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9909374,0.00016197609,0.007032831,0.000033627213,0.000031420623,0.000019794265,0.000041284464,0.00024887937,0.0014928491],"genre_scores_gemma":[0.99855274,0.000030037305,0.0009226171,0.0000061421456,0.0000029900134,0.000004018709,0.000016896016,0.00003253297,0.00043199118],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99967325,0.00006857449,0.00001340977,0.000061129715,0.00010003349,0.0000836252],"domain_scores_gemma":[0.99890566,0.00040440436,0.00025276898,0.00014684878,0.00024428335,0.00004608075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030189502,0.00047109282,0.00027697373,0.00025619153,0.00018981911,0.0005073613,0.00059923163,0.000321348,0.0022120264],"category_scores_gemma":[0.0013463905,0.00023332331,0.0001685825,0.00023966904,0.0002645411,0.00049900106,0.00023163672,0.00023087779,0.00028650588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014976729,0.0003455617,0.005875801,0.00046822437,0.00012632452,0.00043965373,0.00019644068,0.14468654,0.808649,0.00055450085,0.00071591977,0.036444325],"study_design_scores_gemma":[0.00016024387,0.0059392843,0.022271398,0.000035553538,0.000252614,0.00051361334,0.00017407002,0.18008763,0.7870383,0.00012663707,0.0033365423,0.000064162465],"about_ca_topic_score_codex":0.00089194265,"about_ca_topic_score_gemma":0.0012586946,"teacher_disagreement_score":0.0022120264,"about_ca_system_score_codex":0.00037960906,"about_ca_system_score_gemma":0.00025776497,"threshold_uncertainty_score":0.0073999166},"labels":[],"label_agreement":null},{"id":"W2995104800","doi":"10.3390/batteries6010001","title":"Sensor Fault Detection and Isolation for Degrading Lithium-Ion Batteries in Electric Vehicles Using Parameter Estimation with Recursive Least Squares","year":2019,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Fault (geology); Fault detection and isolation; CUSUM; Battery (electricity); Recursive least squares filter; Computer science; Degradation (telecommunications); Control theory (sociology); Voltage; Real-time computing; Reliability engineering; Algorithm; Engineering; Power (physics); Control (management); Electrical engineering; Mathematics; Statistics; Artificial intelligence","score_opus":0.016982296928827835,"score_gpt":0.2572485790956098,"score_spread":0.24026628216678195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995104800","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08830492,0.00034730922,0.9088983,0.00011950499,0.000027508882,0.000037658323,0.00002029775,0.0013289019,0.0009155865],"genre_scores_gemma":[0.95876783,0.00014433327,0.040284965,0.000028331497,0.000008429855,0.000031040425,0.000045406345,0.000031387244,0.00065824034],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977344,0.00005469754,0.000017715269,0.00005825911,0.00007357664,0.000022311742],"domain_scores_gemma":[0.99958974,0.0001886874,0.000089538815,0.000032196553,0.000091704744,0.000008117275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033211344,0.00064503547,0.00049599697,0.00026140732,0.00024454296,0.0004936015,0.00043550227,0.0004184856,0.0004203257],"category_scores_gemma":[0.0015979072,0.00026370003,0.00036642377,0.00021466146,0.00025604182,0.0004907409,0.0003714511,0.00061081495,0.00012611065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017359643,0.00009988018,0.0028646514,0.00014542225,0.00006921493,0.000112942726,0.00017855765,0.799762,0.02931168,0.00130826,0.00057897496,0.1653948],"study_design_scores_gemma":[0.000003919372,0.000040283187,0.00048488728,0.0000028537786,0.0000075698963,0.000014807786,0.0000090253125,0.99528015,0.0037822565,0.00023360201,0.00013512964,0.000005516547],"about_ca_topic_score_codex":0.0076967543,"about_ca_topic_score_gemma":0.006034552,"teacher_disagreement_score":0.0076967543,"about_ca_system_score_codex":0.00039963386,"about_ca_system_score_gemma":0.00052424194,"threshold_uncertainty_score":0.01530391},"labels":[],"label_agreement":null},{"id":"W2995940256","doi":"10.1016/j.jpowsour.2019.227638","title":"Aging-aware co-optimization of battery size, depth of discharge, and energy management for plug-in hybrid electric vehicles","year":2019,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Central Universities in China; Natural Science Foundation of Chongqing; Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Shaanxi Province; National Natural Science Foundation of China","keywords":"Battery (electricity); Depth of discharge; Automotive engineering; Energy consumption; Battery pack; State of charge; Energy management; Fuel efficiency; Sensitivity (control systems); State of health; Engineering; Energy (signal processing); Simulation; Electrical engineering; Power (physics); Electronic engineering; Mathematics","score_opus":0.006058471884105963,"score_gpt":0.235793241793345,"score_spread":0.22973476990923902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995940256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69954413,0.002975131,0.287911,0.0003690219,0.00021991032,0.000069016016,0.00021652467,0.0009398373,0.0077554774],"genre_scores_gemma":[0.9968246,0.000068216505,0.0024880525,0.000016696908,0.000008954572,0.0000062168338,0.000028794913,0.000016469381,0.00054215034],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998779,0.00001862859,0.0000069882676,0.000030662166,0.000030924413,0.000034889494],"domain_scores_gemma":[0.9997309,0.000089506124,0.000038892795,0.00001796959,0.00009518477,0.000027594222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036091005,0.0006407388,0.0005665009,0.00031245107,0.00021257153,0.0005072506,0.00067666586,0.00031216224,0.0008710042],"category_scores_gemma":[0.0006867285,0.00020771113,0.00024957518,0.000221981,0.00015264588,0.0006999206,0.00039756842,0.00029044095,0.00014300506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005098337,0.00041924696,0.0064520226,0.00016909202,0.00010643711,0.00014073058,0.00007012503,0.8179518,0.03954745,0.0012425674,0.0019559565,0.13143477],"study_design_scores_gemma":[0.000012910678,0.00019234994,0.0024887493,0.0000060837074,0.000051009283,0.000044720844,0.00004366897,0.99032927,0.0055290693,0.00065904274,0.00063469703,0.000008328776],"about_ca_topic_score_codex":0.0018538905,"about_ca_topic_score_gemma":0.0058453837,"teacher_disagreement_score":0.0018538905,"about_ca_system_score_codex":0.00037579096,"about_ca_system_score_gemma":0.0005608575,"threshold_uncertainty_score":0.0036861897},"labels":[],"label_agreement":null},{"id":"W2996178187","doi":"10.1109/tia.2019.2960003","title":"Selecting Locations and Sizes of Battery Storage Systems Based on the Frequency of the Center of Inertia and Principle Component Analysis","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Fredericton; University of New Brunswick","funders":"Atlantic Canada Opportunities Agency","keywords":"Transient (computer programming); Inertia; Battery (electricity); Electric power system; Sensitivity (control systems); Power (physics); Component (thermodynamics); Control theory (sociology); Computer science; Principal component analysis; Stability (learning theory); Engineering; Simulation; Electronic engineering; Artificial intelligence; Physics","score_opus":0.01473959444657388,"score_gpt":0.24750626293049574,"score_spread":0.23276666848392186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996178187","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11180151,0.00042820006,0.88260585,0.00010925115,0.00005719372,0.00015091577,0.00020861381,0.0011554854,0.0034829273],"genre_scores_gemma":[0.6664657,0.00028431293,0.3313285,0.000026387634,0.00003932083,0.00013570377,0.0003668906,0.00010749907,0.00124558],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969375,0.000069908565,0.000019769417,0.00006741725,0.00012346121,0.000025690713],"domain_scores_gemma":[0.9992951,0.00027424467,0.00010499932,0.000049520135,0.00024771405,0.0000284454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033772658,0.00085990335,0.0004984114,0.0013715834,0.0004530268,0.00059849763,0.00044156975,0.00026403737,0.001090217],"category_scores_gemma":[0.0027179127,0.00022319025,0.00027564837,0.00074349385,0.00021428947,0.00061010104,0.00032451196,0.0002689835,0.00046025915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051274407,0.00012095481,0.017946618,0.00038318758,0.000087071894,0.00028534478,0.00024770104,0.1409229,0.056788582,0.005449569,0.004452256,0.7728031],"study_design_scores_gemma":[0.00009119014,0.000256704,0.02459453,0.00006479127,0.00013799929,0.0004797488,0.00032216817,0.9051321,0.055678196,0.0056443866,0.0075053615,0.00009278397],"about_ca_topic_score_codex":0.0030026012,"about_ca_topic_score_gemma":0.005035442,"teacher_disagreement_score":0.0030026012,"about_ca_system_score_codex":0.00030929878,"about_ca_system_score_gemma":0.000515317,"threshold_uncertainty_score":0.0059702992},"labels":[],"label_agreement":null},{"id":"W2996303951","doi":"","title":"Repurposed Battery Energy Storage System for use in applications of Renewable Energy Generation","year":2012,"lang":"en","type":"article","venue":"Mspace (University of Manitoba)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Mitacs; Manitoba Hydro","keywords":"Renewable energy; Energy storage; Battery (electricity); Environmental science; Computer science; Process engineering; Engineering; Electrical engineering; Power (physics)","score_opus":0.025171496672899342,"score_gpt":0.20746723793229424,"score_spread":0.1822957412593949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996303951","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43302414,0.0014326911,0.52290696,0.00053470646,0.00039559734,0.0006041218,0.0014858801,0.0100334585,0.029582527],"genre_scores_gemma":[0.9147098,0.00050181954,0.063353494,0.00015530559,0.000030001826,0.00015579304,0.00085584377,0.00011487064,0.020123024],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999038,0.000016033158,0.000008469299,0.000016305989,0.000044333232,0.000011097079],"domain_scores_gemma":[0.9997992,0.000021540523,0.000012723849,0.00004872329,0.00010696938,0.000010725739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001775368,0.00027782744,0.00035812324,0.0002823276,0.00039682098,0.00046838252,0.0012399725,0.0003127735,0.011549594],"category_scores_gemma":[0.0003060487,0.00015169506,0.00029180764,0.00037141482,0.00019529743,0.0008527482,0.00040140527,0.0004981397,0.0022078708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012292505,0.00031857262,0.0020561016,0.00074334734,0.00012903847,0.0014559864,0.00046563597,0.03267423,0.5798039,0.007201805,0.008308391,0.36561388],"study_design_scores_gemma":[0.00026044503,0.0020149236,0.005342174,0.000093987364,0.00016829495,0.0013614035,0.00025234616,0.22822969,0.69010186,0.0027367123,0.06934681,0.000091384834],"about_ca_topic_score_codex":0.0016833119,"about_ca_topic_score_gemma":0.0036592465,"teacher_disagreement_score":0.011549594,"about_ca_system_score_codex":0.0003007147,"about_ca_system_score_gemma":0.00055945705,"threshold_uncertainty_score":0.03863722},"labels":[],"label_agreement":null},{"id":"W2996454215","doi":"10.1109/iecon.2019.8927710","title":"Temperature Dependent State of Charge Estimation of Lithium-ion Batteries Using Long Short-Term Memory Network and Kalman Filter","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"State of charge; Kalman filter; Robustness (evolution); Extended Kalman filter; Voltage; Schedule; Lookup table; Computer science; Lithium-ion battery; Control theory (sociology); Battery (electricity); Equivalent circuit; Engineering; Chemistry; Electrical engineering; Power (physics); Artificial intelligence","score_opus":0.014458348005784495,"score_gpt":0.26051099753542867,"score_spread":0.24605264952964417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996454215","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056537323,0.00080092525,0.9398215,0.00008891653,0.00008348921,0.000022223961,0.000067077795,0.00076436123,0.0018141938],"genre_scores_gemma":[0.9320231,0.0005075211,0.06477524,0.00004910334,0.000043703993,0.00005840232,0.00017082664,0.000037831207,0.0023342308],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985087,0.000020251147,0.000015248453,0.0000457662,0.0000517144,0.000016096456],"domain_scores_gemma":[0.9997899,0.0000631078,0.000031708758,0.000016787175,0.00009221762,0.0000062185804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027399138,0.000562744,0.00043300982,0.00043270076,0.0002846281,0.00051057443,0.00054392597,0.00048743273,0.00070281874],"category_scores_gemma":[0.00087789353,0.00025112284,0.00039568817,0.00034951587,0.0001899645,0.0011953498,0.00031918107,0.0004237991,0.00023724025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024720948,0.000098788536,0.0075138668,0.0002620351,0.00014674373,0.00013719145,0.00017676568,0.5662318,0.02921845,0.0025527272,0.0013695348,0.39204496],"study_design_scores_gemma":[0.0000059403797,0.00003246762,0.001370211,0.000009357006,0.000020123087,0.000026661275,0.000013069079,0.9924287,0.0049164165,0.0005824713,0.0005823061,0.000012249147],"about_ca_topic_score_codex":0.007980709,"about_ca_topic_score_gemma":0.010379993,"teacher_disagreement_score":0.007980709,"about_ca_system_score_codex":0.0004620373,"about_ca_system_score_gemma":0.00049293804,"threshold_uncertainty_score":0.015868485},"labels":[],"label_agreement":null},{"id":"W2996729347","doi":"10.1109/cmt.2019.8931365","title":"Dual Power Source Switching Control to Li-Ion Battery Charger for Medical Power System Applications","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec","funders":"","keywords":"Battery (electricity); Backup; Power (physics); Battery charger; Electrical engineering; Lithium-ion battery; Computer science; Automotive battery; Power control; Engineering; Physics","score_opus":0.005258122544777064,"score_gpt":0.2446612852849096,"score_spread":0.23940316274013254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996729347","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2452521,0.0005813742,0.7111014,0.00036723833,0.0002040895,0.00024500798,0.00013178517,0.003125662,0.03899127],"genre_scores_gemma":[0.9713317,0.00015227552,0.020375522,0.000059235022,0.000016505446,0.000059205202,0.000031715113,0.000040045496,0.007933669],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999106,0.000010777888,0.0000042155766,0.00002154171,0.00004078988,0.000012183945],"domain_scores_gemma":[0.99993265,0.000020616677,0.000010945341,0.0000095033665,0.00002008684,0.0000060920115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010053246,0.0002102877,0.00017025867,0.00015008278,0.00015210887,0.0004940538,0.0006141982,0.00027849124,0.0049054893],"category_scores_gemma":[0.0002213248,0.00009171054,0.0001931638,0.00008839205,0.00017082342,0.00031966012,0.00014404405,0.00028787024,0.00041264034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080979505,0.00040683692,0.002486106,0.0006713997,0.00009421208,0.00071850955,0.000385788,0.33297783,0.38877064,0.027022135,0.0050797737,0.24057706],"study_design_scores_gemma":[0.000074525284,0.00054167316,0.00079009816,0.000014727601,0.00004112166,0.0002610684,0.000033073014,0.89869905,0.08506246,0.0023019344,0.012167017,0.000013192888],"about_ca_topic_score_codex":0.0006541708,"about_ca_topic_score_gemma":0.00060452207,"teacher_disagreement_score":0.0049054893,"about_ca_system_score_codex":0.00022855635,"about_ca_system_score_gemma":0.00027444446,"threshold_uncertainty_score":0.01641053},"labels":[],"label_agreement":null},{"id":"W2998815775","doi":"10.1145/3259112","title":"Session details: Energy and power delivery","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Session (web analytics); Computer science; Power (physics); Energy (signal processing); World Wide Web","score_opus":0.010750765611078171,"score_gpt":0.2523503622764726,"score_spread":0.24159959666539443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998815775","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025360158,0.0038333344,0.0033460327,0.00919734,0.03456699,0.00062749727,0.009525595,0.002088306,0.9342789],"genre_scores_gemma":[0.008590655,0.0022755442,0.00037422468,0.00087061845,0.0026260607,0.000114396935,0.0019174971,0.000309731,0.9829213],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99976,0.000028698829,0.0000119039305,0.000050748924,0.00008471962,0.000063930755],"domain_scores_gemma":[0.9990595,0.00026594594,0.000026244692,0.0001034306,0.00026841238,0.00027646066],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005132616,0.0010130347,0.0015063315,0.0006357285,0.0018971189,0.0032227905,0.00097255775,0.003489592,0.8522421],"category_scores_gemma":[0.0013533004,0.00024847232,0.0010534663,0.00074662786,0.0002938907,0.0012704397,0.001054892,0.0018890494,0.5945638],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042850556,0.00015366601,0.00011094302,0.00022000223,0.000012022917,0.000087349246,0.00002290664,0.00008106832,0.0018847234,0.0012938161,0.952089,0.043616056],"study_design_scores_gemma":[0.00007035147,0.00016210282,0.0007711779,0.0000967903,0.000014154612,0.00013728524,0.000057700192,0.00026797343,0.0010928676,0.001164867,0.99615085,0.000013848573],"about_ca_topic_score_codex":0.001386689,"about_ca_topic_score_gemma":0.0030858594,"teacher_disagreement_score":0.8522421,"about_ca_system_score_codex":0.0006528013,"about_ca_system_score_gemma":0.0008117874,"threshold_uncertainty_score":0.21075863},"labels":[],"label_agreement":null},{"id":"W2999017781","doi":"10.1109/vppc46532.2019.8952348","title":"A Brief Review of Plug-In Hybrid Electric Vehicles Operation in Cold Climates","year":2019,"lang":"en","type":"review","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"HVAC; Automotive engineering; Powertrain; Range (aeronautics); Air conditioning; Computer science; Engineering; Environmental science; Mechanical engineering; Aerospace engineering","score_opus":0.04250543154216746,"score_gpt":0.33988603058274997,"score_spread":0.2973805990405825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999017781","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003510327,0.9936206,0.00042729927,0.00029977306,0.00046467414,0.000010140485,0.00007795372,0.000018116341,0.0047303336],"genre_scores_gemma":[0.0011774432,0.9960355,0.00034931285,0.00016297764,0.0002453297,0.000008463563,0.00007901727,0.000003262901,0.0019387568],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99981576,0.000023296197,0.000031669202,0.00004258388,0.00006949722,0.000017139477],"domain_scores_gemma":[0.99967957,0.00014909718,0.000050358394,0.0000102810845,0.000091532296,0.000019105433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034472745,0.000888661,0.00078281155,0.0025288034,0.0003026244,0.0010224618,0.00066881836,0.0008927669,0.007265759],"category_scores_gemma":[0.0005839282,0.000292308,0.0006142392,0.0029844616,0.00021802493,0.0016407227,0.00044833997,0.00091500813,0.0032684759],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000655074,0.00010530774,0.00033365868,0.047921102,0.00009446633,0.00032256148,0.00012578987,0.00096852594,0.0036268795,0.009387048,0.0486411,0.8884081],"study_design_scores_gemma":[0.000002767847,0.00007907533,0.00050560955,0.0031644239,0.00006807884,0.0005190597,0.00005442916,0.000112087604,0.00051783153,0.0010934429,0.9938694,0.000013669357],"about_ca_topic_score_codex":0.0014357667,"about_ca_topic_score_gemma":0.0021607638,"teacher_disagreement_score":0.007265759,"about_ca_system_score_codex":0.0004457397,"about_ca_system_score_gemma":0.0010909421,"threshold_uncertainty_score":0.024306357},"labels":[],"label_agreement":null},{"id":"W2999057564","doi":"10.1109/vppc46532.2019.8952282","title":"Implications of Lithium-Ion Cell Variations on Multi-Cell Battery Pack Thermal Runaway","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Thermal runaway; Lithium (medication); Battery (electricity); Current (fluid); Materials science; Nuclear engineering; Ion; Power (physics); Thermal; Lithium-ion battery; Optoelectronics; Electrical engineering; Computer science; Mechanics; Chemistry; Physics; Thermodynamics; Engineering; Biology","score_opus":0.01778368581735902,"score_gpt":0.2578328136884154,"score_spread":0.24004912787105637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999057564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9447381,0.0013196543,0.045494687,0.00037454086,0.00015584148,0.00004954193,0.00026255738,0.00077307393,0.006831931],"genre_scores_gemma":[0.99819213,0.00007705195,0.0010018852,0.00003414015,0.000007795928,0.000007768542,0.000047639536,0.00006620379,0.00056534354],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989912,0.00013814305,0.00006605339,0.00023481026,0.00042730838,0.00014246676],"domain_scores_gemma":[0.9962543,0.0020967494,0.0004672715,0.0005091099,0.00058385293,0.00008870524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010449358,0.00042573683,0.00063572114,0.00041471858,0.0006053203,0.00095485046,0.0010783949,0.00068878493,0.0030787985],"category_scores_gemma":[0.003973883,0.00036521116,0.0007170533,0.0004345897,0.0005544384,0.0014962659,0.0009207658,0.0008424023,0.0005223418],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020813004,0.00032802083,0.05166077,0.0006172532,0.0003958657,0.0054469,0.0008820591,0.4925889,0.37118146,0.004908392,0.0018775496,0.068031505],"study_design_scores_gemma":[0.00006751355,0.0025979297,0.05918466,0.000087477005,0.0005033464,0.0040166,0.0008636919,0.44464242,0.47116968,0.007900112,0.008732559,0.00023399213],"about_ca_topic_score_codex":0.0010323526,"about_ca_topic_score_gemma":0.0013777424,"teacher_disagreement_score":0.0030787985,"about_ca_system_score_codex":0.00079688296,"about_ca_system_score_gemma":0.00028476544,"threshold_uncertainty_score":0.010299563},"labels":[],"label_agreement":null},{"id":"W2999110057","doi":"10.4271/2020-01-0042","title":"Validation Testing of Lithium Battery Performance-Based Packaging for Use in Air Transportation (SAE G-27)","year":2020,"lang":"en","type":"article","venue":"SAE International Journal of Advances and Current Practices in Mobility","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada; Transport Canada","funders":"","keywords":"Battery (electricity); National standard; Engineering; Paragraph; Class (philosophy); Test (biology); Automotive engineering; Computer science; Aeronautics; Operating system","score_opus":0.07388274740459987,"score_gpt":0.3583382073029459,"score_spread":0.28445545989834603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999110057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8946773,0.0013083594,0.07240295,0.00049734727,0.0006721953,0.0015903513,0.005254179,0.0027641207,0.02083311],"genre_scores_gemma":[0.9354951,0.00083912857,0.04307769,0.0004189174,0.000042386433,0.00073560723,0.00533288,0.00036746266,0.013690856],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9978543,0.00036310143,0.00018434318,0.00017894473,0.0012919222,0.00012726345],"domain_scores_gemma":[0.99673945,0.00035914572,0.00021698281,0.00046155482,0.0021511714,0.00007177094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034302461,0.0007734383,0.00038265067,0.00085396395,0.000632733,0.0011400704,0.0018752097,0.0011363097,0.0040854127],"category_scores_gemma":[0.0051996387,0.00032898423,0.0007263657,0.0005829294,0.00052136736,0.0010845445,0.0006346932,0.0004821575,0.001826781],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017661977,0.0012794482,0.04041761,0.0016381475,0.00018973062,0.0014668037,0.001494303,0.025789361,0.69890463,0.004602468,0.035097465,0.18735379],"study_design_scores_gemma":[0.00011679113,0.007845362,0.030713689,0.00024517914,0.00022060703,0.00086525234,0.0006664164,0.019160816,0.89076895,0.0005429705,0.048729897,0.00012405988],"about_ca_topic_score_codex":0.00294055,"about_ca_topic_score_gemma":0.0045524496,"teacher_disagreement_score":0.0040854127,"about_ca_system_score_codex":0.0009604522,"about_ca_system_score_gemma":0.0013047439,"threshold_uncertainty_score":0.01814109},"labels":[],"label_agreement":null},{"id":"W2999315742","doi":"","title":"Active power decoupling achieving optimum capacitance requirement with minimal compromise in efficiency","year":2019,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Decoupling (probability); Compromise; Capacitance; Control theory (sociology); Computer science; Electronic engineering; Reliability engineering; Electrical engineering; Engineering; Control engineering; Physics; Political science; Control (management); Artificial intelligence; Law","score_opus":0.011537018789093094,"score_gpt":0.23042008650882906,"score_spread":0.21888306771973595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999315742","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1542089,0.0016064681,0.7991658,0.00046996144,0.00011077913,0.00011940078,0.00015357,0.0013620836,0.04280318],"genre_scores_gemma":[0.9134199,0.00075832143,0.079471454,0.00012772511,0.0000723159,0.00006965724,0.00010626698,0.0001774502,0.0057968926],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994216,0.00005588747,0.00003228759,0.00013685519,0.00024235215,0.00011102283],"domain_scores_gemma":[0.999665,0.000093029215,0.00006900454,0.000047571124,0.000098112636,0.000027322696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003864491,0.0009283959,0.0007146547,0.0006896316,0.0005675574,0.0013675732,0.001073069,0.00097180763,0.0029611378],"category_scores_gemma":[0.00089705124,0.00030401157,0.00033841646,0.0012542258,0.00043426006,0.0019912582,0.00088758,0.00052040984,0.0012983308],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042827215,0.0001746863,0.0007654187,0.00063715107,0.00006342365,0.00061771175,0.00021661563,0.04958054,0.77696294,0.035578042,0.0024455239,0.13252968],"study_design_scores_gemma":[0.00016737357,0.0009772507,0.0015253562,0.00010665426,0.00013881938,0.0031850482,0.00021986819,0.3000951,0.63805336,0.020546911,0.03488089,0.00010337739],"about_ca_topic_score_codex":0.00025685725,"about_ca_topic_score_gemma":0.00046954482,"teacher_disagreement_score":0.0029611378,"about_ca_system_score_codex":0.00050933124,"about_ca_system_score_gemma":0.00058769225,"threshold_uncertainty_score":0.009905934},"labels":[],"label_agreement":null},{"id":"W2999369302","doi":"10.1016/j.est.2019.101144","title":"Disturbance observer-based state-of-charge estimation for Li-ion battery used in light electric vehicles","year":2020,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"State of charge; Battery (electricity); Observer (physics); Ion; State (computer science); Charge (physics); Estimation; Physics; Control theory (sociology); Electrical engineering; Engineering; Computer science; Power (physics); Artificial intelligence; Algorithm; Control (management); Quantum mechanics","score_opus":0.02183942583714703,"score_gpt":0.2499610045711662,"score_spread":0.22812157873401917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999369302","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14018695,0.0009485934,0.85221803,0.00022447597,0.0003188859,0.00008650359,0.00011614317,0.0016161161,0.004284355],"genre_scores_gemma":[0.9934634,0.00011685411,0.005277069,0.000024232822,0.000014066486,0.000022187169,0.00006673333,0.000009386211,0.0010060993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998048,0.000026184689,0.000023678149,0.000041198935,0.000075916185,0.000028220045],"domain_scores_gemma":[0.99964833,0.00010280768,0.00005737508,0.000025539362,0.00015513493,0.0000108385375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031523968,0.00041893942,0.00064532715,0.00027808503,0.00028827562,0.00078095327,0.0004903154,0.00044558587,0.0011233579],"category_scores_gemma":[0.0007900116,0.00020694411,0.00027101298,0.0002303593,0.00019704424,0.00056905975,0.0004051468,0.0005546922,0.00026814695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002080378,0.00038239307,0.008968554,0.0009852704,0.00019523763,0.000539144,0.00046781707,0.53814083,0.09131929,0.0032462399,0.00449675,0.34917805],"study_design_scores_gemma":[0.000021675718,0.00012228836,0.0015220464,0.000010310158,0.000019772135,0.000025385914,0.000021728327,0.99058515,0.0068265777,0.00021006713,0.0006259979,0.000009045025],"about_ca_topic_score_codex":0.007233154,"about_ca_topic_score_gemma":0.00771799,"teacher_disagreement_score":0.007233154,"about_ca_system_score_codex":0.0003748217,"about_ca_system_score_gemma":0.00039584094,"threshold_uncertainty_score":0.014382064},"labels":[],"label_agreement":null},{"id":"W2999601900","doi":"10.1109/vppc46532.2019.8952175","title":"Comparison of Different Power Train Topologies for an Off-Road Electric Vehicle","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Network topology; Inverter; Electric vehicle; Topology (electrical circuits); Power (physics); Battery (electricity); Automotive engineering; Motor drive; Engineering; Computer science; Electronic engineering; Electrical engineering; Voltage; Physics; Mechanical engineering","score_opus":0.03406703139275799,"score_gpt":0.3379657302910398,"score_spread":0.3038986988982818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999601900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.945336,0.000692965,0.04449417,0.00005049538,0.00004866803,0.000081904116,0.00036551114,0.00050162926,0.008428697],"genre_scores_gemma":[0.9966311,0.00019404378,0.002078583,0.0000051595744,0.0000036398928,0.000013897782,0.00023733465,0.000022036522,0.0008141917],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998627,0.000028255556,0.000011758949,0.000020697536,0.000060968883,0.000015576963],"domain_scores_gemma":[0.9997608,0.00007147182,0.000024247565,0.000028395194,0.00010408702,0.00001110397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017269798,0.0002959416,0.00024883886,0.00065812294,0.0001543706,0.00039483787,0.0003173602,0.00016939234,0.0016063834],"category_scores_gemma":[0.00051652035,0.000060784456,0.00020961191,0.00045706358,0.00010474565,0.00053681975,0.0001332907,0.00012731942,0.00026865466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027269702,0.0005127919,0.03303499,0.0015680258,0.0002811991,0.00071841164,0.00046433002,0.17945017,0.24961801,0.0037996327,0.0027294615,0.525096],"study_design_scores_gemma":[0.00015577424,0.011628663,0.13264424,0.00014648965,0.0007969436,0.0029512323,0.0016039833,0.48507345,0.32888338,0.0036941168,0.032307763,0.00011411891],"about_ca_topic_score_codex":0.0006598658,"about_ca_topic_score_gemma":0.001088499,"teacher_disagreement_score":0.0016063834,"about_ca_system_score_codex":0.0002112036,"about_ca_system_score_gemma":0.000096886564,"threshold_uncertainty_score":0.0053738356},"labels":[],"label_agreement":null},{"id":"W2999803522","doi":"10.1109/tie.2019.2962429","title":"Noise-Immune Model Identification and State-of-Charge Estimation for Lithium-Ion Battery Using Bilinear Parameterization","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":202,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Overdetermined system; State of charge; Control theory (sociology); Parameterized complexity; Robustness (evolution); Noise (video); Estimator; System identification; Computer science; Estimation theory; Noise measurement; Identification (biology); Algorithm; Battery (electricity); Mathematics; Data modeling; Applied mathematics; Power (physics); Artificial intelligence; Noise reduction; Statistics","score_opus":0.06295379552842717,"score_gpt":0.28765245932597167,"score_spread":0.2246986637975445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999803522","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009932971,0.00010294011,0.98882574,0.000039425293,0.000016452957,0.000020933147,0.000012483575,0.00024419228,0.0008048807],"genre_scores_gemma":[0.89930505,0.00040797383,0.09711372,0.00006110646,0.00003055357,0.00013848823,0.00011630758,0.00006751238,0.002759248],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969804,0.0000779393,0.000023079585,0.00007462298,0.000097987024,0.000028383827],"domain_scores_gemma":[0.9996809,0.00010785061,0.00006595165,0.000047067628,0.000087554756,0.000010703258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000451179,0.00064911734,0.00061004754,0.00027447534,0.0003233076,0.00069560925,0.0005437948,0.00051982165,0.0009719478],"category_scores_gemma":[0.0015396967,0.00033733546,0.0005115416,0.00033393875,0.0004250501,0.001075304,0.0010359258,0.0006467899,0.0002825341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019669729,0.00008607512,0.0021321815,0.00032825227,0.00006143749,0.00015883645,0.00036980203,0.7635098,0.050899673,0.013027042,0.00074208825,0.16848814],"study_design_scores_gemma":[0.0000034639168,0.000040975814,0.00016504832,0.000004807182,0.000006009167,0.000029018598,0.000014977391,0.99255496,0.005179187,0.001313477,0.00067774364,0.000010380207],"about_ca_topic_score_codex":0.002598181,"about_ca_topic_score_gemma":0.0018668702,"teacher_disagreement_score":0.002598181,"about_ca_system_score_codex":0.00036149388,"about_ca_system_score_gemma":0.0006798756,"threshold_uncertainty_score":0.0051661134},"labels":[],"label_agreement":null},{"id":"W2999951339","doi":"10.1016/j.joule.2019.11.018","title":"Battery Lifetime Prognostics","year":2020,"lang":"en","type":"article","venue":"Joule","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1228,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Battery (electricity); Prognostics; Degradation (telecommunications); Reliability engineering; Lithium-ion battery; Key (lock); Computer science; Anode; Reliability (semiconductor); Engineering; Power (physics); Telecommunications; Computer security; Chemistry","score_opus":0.022202087386241406,"score_gpt":0.24572300626336466,"score_spread":0.22352091887712325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999951339","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20681192,0.006628461,0.6603083,0.0025442138,0.0021266278,0.00035482098,0.008132866,0.0168713,0.09622147],"genre_scores_gemma":[0.9088259,0.0017040931,0.038319167,0.00031943867,0.0003239818,0.00011111826,0.0030001462,0.00043159665,0.046964582],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980503,0.000016436139,0.000010695323,0.00005544347,0.000089920795,0.000022516095],"domain_scores_gemma":[0.99949825,0.000096415126,0.000071793685,0.00008768841,0.0002207364,0.000024953277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004537859,0.00080060447,0.00074756297,0.0012469171,0.0005450854,0.0012505238,0.00078587595,0.00097492855,0.012378793],"category_scores_gemma":[0.0026891069,0.0003028934,0.00040664518,0.0007911922,0.0002456012,0.0021833188,0.00073329645,0.00082226604,0.005388553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046709555,0.00013660039,0.019561922,0.0005426845,0.00009594215,0.0004038784,0.00019995584,0.21979661,0.024080241,0.009735256,0.031849235,0.69313055],"study_design_scores_gemma":[0.00003386436,0.00028953227,0.013641281,0.00023785699,0.00009085956,0.00062894006,0.00015478712,0.8937163,0.03021449,0.01968357,0.041217852,0.00009073573],"about_ca_topic_score_codex":0.0020439238,"about_ca_topic_score_gemma":0.002284047,"teacher_disagreement_score":0.012378793,"about_ca_system_score_codex":0.0005084358,"about_ca_system_score_gemma":0.0005680746,"threshold_uncertainty_score":0.04141116},"labels":[],"label_agreement":null},{"id":"W3000582415","doi":"10.1149/2.0621910jes","title":"Real-Time Prediction of Anode Potential in Li-Ion Batteries Using Long Short-Term Neural Networks for Lithium Plating Prevention","year":2019,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anode; Artificial neural network; Mean squared error; Battery (electricity); State of charge; Computer science; Voltage; Term (time); Lithium (medication); Plating (geology); Lithium-ion battery; Control theory (sociology); Algorithm; Artificial intelligence; Power (physics); Electrical engineering; Engineering; Mathematics; Chemistry; Statistics; Thermodynamics; Physics","score_opus":0.011488025710950596,"score_gpt":0.25924954786112375,"score_spread":0.24776152215017316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000582415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6953755,0.0014799099,0.29538766,0.00056700135,0.00019975242,0.000033599164,0.00034703725,0.0018608819,0.0047486327],"genre_scores_gemma":[0.9916477,0.00013619961,0.007099077,0.00003499898,0.000006859629,0.000014714973,0.00012171746,0.000014545328,0.00092406594],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999541,0.0000067328733,0.000003506747,0.000012599434,0.000015041859,0.0000080595855],"domain_scores_gemma":[0.99987197,0.000048319846,0.000015232016,0.000007296152,0.000051328992,0.00000576403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017069675,0.0004414273,0.00022183014,0.00019991052,0.00019258285,0.00036608716,0.00045198223,0.00042701286,0.0008337628],"category_scores_gemma":[0.00068442343,0.000177384,0.00022218468,0.00021341983,0.00013788124,0.0005858833,0.00025812033,0.00047540475,0.00019611923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001614632,0.0001002025,0.005036094,0.00008816298,0.00003688185,0.00014257629,0.00004822638,0.8952592,0.018664928,0.0006529495,0.0012147414,0.07859463],"study_design_scores_gemma":[0.0000011216879,0.000009319392,0.0003734915,0.0000018476935,0.0000022857391,0.000004502268,0.0000040447344,0.9971679,0.0021675327,0.00020315523,0.00006262496,0.0000022355368],"about_ca_topic_score_codex":0.007421573,"about_ca_topic_score_gemma":0.01027698,"teacher_disagreement_score":0.007421573,"about_ca_system_score_codex":0.0004902528,"about_ca_system_score_gemma":0.00042554853,"threshold_uncertainty_score":0.014756799},"labels":[],"label_agreement":null},{"id":"W3002803986","doi":"10.30634/2414-2077.2019.05.05","title":"Charging and Discharging of Electric Battery with Thermoelectric Stove","year":2019,"lang":"en","type":"article","venue":"International Journal of Green Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stove; Battery (electricity); Thermoelectric effect; Environmental science; Automotive engineering; Electrical engineering; Materials science; Engineering; Waste management; Physics; Thermodynamics","score_opus":0.0042900849759198,"score_gpt":0.22569901560232228,"score_spread":0.2214089306264025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002803986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932405,0.00040616962,0.0026131538,0.000107483196,0.000109522036,0.000018097808,0.0001764816,0.000091392045,0.0032373157],"genre_scores_gemma":[0.9961396,0.00015177061,0.00068373414,0.000028348306,0.0000064489805,0.0000064731653,0.00008659043,0.000014278668,0.002882752],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998584,0.000009533341,0.000010767452,0.000024812127,0.000060704642,0.000035864447],"domain_scores_gemma":[0.99991894,0.000017560327,0.000004999646,0.000017329347,0.00003053031,0.000010614555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013301263,0.00019588582,0.00047809785,0.00035753465,0.0005357185,0.0004526428,0.00063592143,0.0004383681,0.004164262],"category_scores_gemma":[0.0002783612,0.0001812217,0.00048767135,0.00046265053,0.0002466833,0.00084426824,0.00034180985,0.00039899282,0.00045322996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015469365,0.00013237537,0.002588843,0.0004313088,0.0000558649,0.0009703334,0.00034122917,0.0022061865,0.9472775,0.0016748279,0.00080023275,0.04197433],"study_design_scores_gemma":[0.000040165854,0.00045303948,0.006060749,0.000022014885,0.000028534923,0.00050090643,0.00036380117,0.018959105,0.96842426,0.0007687245,0.004351328,0.000027429312],"about_ca_topic_score_codex":0.00062748854,"about_ca_topic_score_gemma":0.0012627388,"teacher_disagreement_score":0.004164262,"about_ca_system_score_codex":0.0001765134,"about_ca_system_score_gemma":0.00023882915,"threshold_uncertainty_score":0.013930798},"labels":[],"label_agreement":null},{"id":"W3003308815","doi":"10.4271/2020-01-0862","title":"Battery Entropic Heating Coefficient Testing and Use in Cell-Level Loss Modeling for Extreme Fast Charging","year":2020,"lang":"en","type":"article","venue":"SAE International Journal of Advances and Current Practices in Mobility","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Open-circuit voltage; Voltage; State of charge; Temperature coefficient; Work (physics); Electrical impedance; Chemistry; Thermodynamics; Materials science; Mechanics; Analytical Chemistry (journal); Electrical engineering; Composite material; Physics","score_opus":0.13896346448071487,"score_gpt":0.3654147326483587,"score_spread":0.22645126816764385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003308815","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23672688,0.00045153406,0.74938637,0.00012432804,0.000060076636,0.0002312981,0.00050552684,0.001863009,0.010650921],"genre_scores_gemma":[0.97434574,0.0003105827,0.021624306,0.000030140269,0.0000070786546,0.00018240951,0.00026394075,0.00013693982,0.0030989365],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998355,0.00001763584,0.0000075872877,0.000020267838,0.00009710848,0.000021864238],"domain_scores_gemma":[0.9997956,0.00008097424,0.000018683402,0.0000429709,0.000055878747,0.0000058694695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041623905,0.00050377304,0.00034972987,0.00043749204,0.00026998218,0.0006106116,0.000865887,0.00038450919,0.0014096334],"category_scores_gemma":[0.0012456409,0.00022822231,0.00052001345,0.00036526952,0.00027391303,0.0009768956,0.0005587238,0.000592947,0.00049443025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009982274,0.000081392405,0.0022742637,0.00012205951,0.000021635215,0.00019107299,0.00015437996,0.88888067,0.06592701,0.003940898,0.00080542,0.03750134],"study_design_scores_gemma":[0.000003228176,0.000042713214,0.00055910356,0.000006142786,0.0000038491303,0.000032253185,0.000014292351,0.9713102,0.026209388,0.0008484716,0.00095966033,0.000010612425],"about_ca_topic_score_codex":0.0024284234,"about_ca_topic_score_gemma":0.0017761152,"teacher_disagreement_score":0.0024284234,"about_ca_system_score_codex":0.0005328272,"about_ca_system_score_gemma":0.0003704182,"threshold_uncertainty_score":0.0048285723},"labels":[],"label_agreement":null},{"id":"W3003552247","doi":"10.3934/electreng.2020.1.114","title":"Dynamic modeling and simulation of the MUN Explorer autonomous underwater vehicle with a fuel cell system","year":2020,"lang":"en","type":"article","venue":"AIMS Electronics and Electrical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Controller (irrigation); PID controller; Power (physics); Battery (electricity); MATLAB; Control theory (sociology); Torque; Voltage; Automotive engineering; DC motor; Computer science; Engineering; Simulation; Control engineering; Electrical engineering; Temperature control; Control (management)","score_opus":0.0075847840377330136,"score_gpt":0.1938945364161452,"score_spread":0.18630975237841219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003552247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6443436,0.0007413039,0.27014962,0.00056857965,0.0001384679,0.00023153014,0.0011155241,0.0015462784,0.08116507],"genre_scores_gemma":[0.9864661,0.00022535122,0.003849348,0.00003145933,0.00000887677,0.00014294965,0.0002492418,0.000027345533,0.008999327],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999074,0.000017476958,0.0000046741716,0.00001642632,0.000031434563,0.000022573422],"domain_scores_gemma":[0.9999238,0.000023879133,0.000013033088,0.0000056898534,0.000025615735,0.000007984042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012617007,0.00044062076,0.00049708766,0.0003669154,0.0005935636,0.0006396674,0.0006287609,0.0008272313,0.003205363],"category_scores_gemma":[0.00022981656,0.00020576477,0.00045239908,0.00029949239,0.00035696896,0.00042019514,0.00044423572,0.00038856288,0.00037976707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044112363,0.000017317983,0.00062727864,0.000039281298,0.000013229077,0.00014022276,0.00005973066,0.9927045,0.002729885,0.0009817175,0.00020768929,0.0024350362],"study_design_scores_gemma":[0.000007648598,0.000034625657,0.00029653875,0.0000038082576,0.0000054335605,0.000014099473,0.000022205373,0.9981968,0.00062145246,0.00017481661,0.00061759737,0.000004995902],"about_ca_topic_score_codex":0.024298346,"about_ca_topic_score_gemma":0.008546791,"teacher_disagreement_score":0.024298346,"about_ca_system_score_codex":0.0005042369,"about_ca_system_score_gemma":0.0006433569,"threshold_uncertainty_score":0.048313797},"labels":[],"label_agreement":null},{"id":"W3005296994","doi":"10.1016/j.apenergy.2020.114569","title":"Reliable state of charge estimation of battery packs using fuzzy adaptive federated filtering","year":2020,"lang":"en","type":"article","venue":"Applied Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":141,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Aerostatic Science Foundation; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"State of charge; Battery (electricity); Reliability (semiconductor); Fuzzy logic; Battery pack; Mean squared error; Computer science; Standard deviation; Filter (signal processing); Mathematics; Statistics; Artificial intelligence","score_opus":0.025022649446035702,"score_gpt":0.24006584730982167,"score_spread":0.21504319786378595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005296994","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12667702,0.00038645323,0.87046623,0.00009456293,0.000095145035,0.000031879685,0.00006083872,0.00046024733,0.0017276437],"genre_scores_gemma":[0.97450703,0.000084687126,0.024551028,0.00002258947,0.00001701314,0.000017761293,0.000051853836,0.000010681811,0.00073739555],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997664,0.000030670857,0.000023097635,0.00006549502,0.00008754504,0.000026677915],"domain_scores_gemma":[0.9996823,0.000097172626,0.000047533034,0.000039188715,0.00012541322,0.00000839967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040728532,0.00044473636,0.0006231985,0.00051844725,0.00038291395,0.0008015289,0.00048598336,0.0005192086,0.0005340114],"category_scores_gemma":[0.0012076533,0.00021658534,0.00043255623,0.00040072584,0.00020846348,0.0007751554,0.00033037312,0.0004086118,0.00016141431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087353657,0.00015628927,0.0048825312,0.00019435523,0.00014988052,0.00016395228,0.0002251174,0.55398774,0.05324912,0.0030833087,0.0013739986,0.3816601],"study_design_scores_gemma":[0.000007352424,0.00003749352,0.0012062414,0.0000075938274,0.000014368341,0.00002125815,0.000010342379,0.9922699,0.0053656255,0.0008219927,0.00022957817,0.000008281821],"about_ca_topic_score_codex":0.004671173,"about_ca_topic_score_gemma":0.005240405,"teacher_disagreement_score":0.004671173,"about_ca_system_score_codex":0.00045080477,"about_ca_system_score_gemma":0.0002630737,"threshold_uncertainty_score":0.009288013},"labels":[],"label_agreement":null},{"id":"W3006041466","doi":"10.1016/j.est.2020.101231","title":"Strategies to limit degradation and maximize Li-ion battery service lifetime - Critical review and guidance for stakeholders","year":2020,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":202,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Royal Bank of Canada","keywords":"Cordless; Battery (electricity); Electronics; Service (business); Product (mathematics); Degradation (telecommunications); Limiting; Computer science; Reliability engineering; Risk analysis (engineering); Power (physics); Automotive engineering; Engineering; Telecommunications; Business; Electrical engineering; Marketing","score_opus":0.07386634674687051,"score_gpt":0.2923255801170973,"score_spread":0.2184592333702268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006041466","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001824287,0.7626938,0.009059017,0.20587651,0.0040173656,0.00052173017,0.0002901997,0.000110022665,0.015607064],"genre_scores_gemma":[0.03505599,0.8961446,0.030424876,0.029686008,0.0017577714,0.00091455906,0.00024016833,0.000051524396,0.0057245097],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99258476,0.0021316502,0.0010978075,0.0004273171,0.0032086447,0.0005497516],"domain_scores_gemma":[0.94538254,0.024788018,0.00416956,0.0008209047,0.02325473,0.0015842144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.029652793,0.0016257268,0.001887316,0.0028455348,0.0013786999,0.0064110705,0.0047389525,0.007822729,0.0038270534],"category_scores_gemma":[0.03878677,0.0005753255,0.0011376651,0.0017586673,0.0026253324,0.0056540077,0.0027480295,0.0054343455,0.0011721518],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022102323,0.00028303376,0.00091029186,0.030396463,0.00021072515,0.00066799944,0.0014317835,0.004417553,0.0035611573,0.056787807,0.17208086,0.72903126],"study_design_scores_gemma":[0.0000828144,0.00032104232,0.00068106945,0.04070295,0.00028663498,0.0003275898,0.00211637,0.0011358369,0.0029519093,0.029295363,0.9220044,0.000094052986],"about_ca_topic_score_codex":0.008367225,"about_ca_topic_score_gemma":0.015771817,"teacher_disagreement_score":0.029652793,"about_ca_system_score_codex":0.005909125,"about_ca_system_score_gemma":0.038130064,"threshold_uncertainty_score":0.15682083},"labels":[],"label_agreement":null},{"id":"W3006970678","doi":"10.1109/tte.2020.2977092","title":"Optimal Multistage Charging of NCA/Graphite Lithium-Ion Batteries Based on Electrothermal-Aging Dynamics","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":95,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Science Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Battery (electricity); Constant current; Fade; Trickle charging; Lithium-ion battery; Automotive engineering; Particle swarm optimization; Computer science; Voltage; Degradation (telecommunications); Electronics; Electrical engineering; Engineering; Power (physics); Physics","score_opus":0.012107126157258067,"score_gpt":0.23793588904741056,"score_spread":0.2258287628901525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006970678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6359936,0.001130503,0.34492654,0.0003028414,0.00012427685,0.00016241282,0.00008906526,0.00027178478,0.016999086],"genre_scores_gemma":[0.99018365,0.00013128511,0.008421373,0.000016021906,0.000004061142,0.000029029805,0.000017754179,0.000005919242,0.001191048],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999125,0.000010540928,0.000005204183,0.000015211164,0.00003806171,0.000018478024],"domain_scores_gemma":[0.9999088,0.000029505112,0.000017207865,0.000008071782,0.00002451405,0.000011946317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020795625,0.00033955954,0.00043083567,0.00023980571,0.0002921868,0.000558588,0.00048370587,0.0004235828,0.0008380956],"category_scores_gemma":[0.0003378454,0.0002317538,0.00027654995,0.0002752012,0.00029959262,0.0004088723,0.00035103946,0.00023702343,0.00012567872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037161258,0.00013223347,0.0011319657,0.00018591883,0.000029494106,0.00024090566,0.00008237291,0.86480594,0.08497178,0.005170575,0.00056006026,0.042317074],"study_design_scores_gemma":[0.000009855297,0.00006477624,0.00025458125,0.0000033947642,0.0000060666666,0.000016034852,0.0000124558765,0.9915216,0.0071578887,0.00062457315,0.00032254137,0.000006173308],"about_ca_topic_score_codex":0.0025507074,"about_ca_topic_score_gemma":0.0032643403,"teacher_disagreement_score":0.0025507074,"about_ca_system_score_codex":0.0005240781,"about_ca_system_score_gemma":0.00057491683,"threshold_uncertainty_score":0.005071759},"labels":[],"label_agreement":null},{"id":"W3007147563","doi":"","title":"MPS Li-Ion Batteries Qualified to Fly on Canadian Sapphire Spacecraft","year":2014,"lang":"io","type":"article","venue":"ESASP","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Spacecraft; Sapphire; Aeronautics; Aerospace engineering; Engineering; Physics; Optics","score_opus":0.018215766660745706,"score_gpt":0.2669020549076802,"score_spread":0.2486862882469345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007147563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8279473,0.00039144064,0.004018045,0.0007392613,0.00023513903,0.00014376614,0.0021657997,0.0012299765,0.16312927],"genre_scores_gemma":[0.9169386,0.00012809441,0.0029023548,0.00008146619,0.00001564312,0.00003013712,0.001364999,0.00012368019,0.07841513],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975604,0.000006866429,0.0000039325437,0.00002843164,0.00013062138,0.0000741059],"domain_scores_gemma":[0.9997178,0.000011597629,0.000007872669,0.000026810774,0.00017329275,0.0000626599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028946428,0.00031959426,0.00027336073,0.00035214875,0.0021343995,0.000834714,0.00063490437,0.00032677175,0.0137464125],"category_scores_gemma":[0.0003671754,0.00012541893,0.00019869205,0.00031330384,0.00037214867,0.00056592503,0.00058841606,0.0006093857,0.0019715128],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0053183483,0.0002703336,0.02539218,0.00045037427,0.000121664096,0.0016173631,0.0019702679,0.02770342,0.5795418,0.010902505,0.07049713,0.2762146],"study_design_scores_gemma":[0.000294416,0.0018879687,0.09539002,0.00011589831,0.00013594334,0.00083344436,0.0034660012,0.03419966,0.41392806,0.0016162227,0.44798678,0.00014555259],"about_ca_topic_score_codex":0.2861971,"about_ca_topic_score_gemma":0.46680525,"teacher_disagreement_score":0.71380293,"about_ca_system_score_codex":0.0045270263,"about_ca_system_score_gemma":0.005438669,"threshold_uncertainty_score":0.5690625},"labels":[],"label_agreement":null},{"id":"W3007356494","doi":"10.1049/iet-pel.2019.0715","title":"Power sharing strategy for multi‐source electrical auxiliary power unit with bi‐directional interaction capability","year":2020,"lang":"en","type":"article","venue":"IET Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; École de Technologie Supérieure","funders":"","keywords":"Robustness (evolution); Voltage; Power control; Electric power system; Auxiliary power unit; Computer science; Power management; Power (physics); Engineering; Electronic engineering; Automotive engineering; Control theory (sociology); Electrical engineering; Control (management)","score_opus":0.03300255743486252,"score_gpt":0.30228485725531945,"score_spread":0.2692822998204569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007356494","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13170668,0.00023788013,0.8549211,0.000119447795,0.00004857211,0.00010122582,0.000041156072,0.00047068752,0.012353224],"genre_scores_gemma":[0.9857239,0.000032308973,0.012870694,0.000018118057,0.0000108243175,0.000028907103,0.000016834498,0.000008353973,0.001290136],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997944,0.000035722136,0.000014974655,0.0000606849,0.000058698406,0.000035559053],"domain_scores_gemma":[0.999876,0.0000178176,0.00002981804,0.000019282037,0.000040830306,0.000016143596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016775541,0.00044854215,0.00028228157,0.0002668936,0.00037724894,0.00052775175,0.0007876959,0.00026224833,0.0019512809],"category_scores_gemma":[0.00021893253,0.00013192557,0.0002303066,0.00022940127,0.00022811614,0.00048801428,0.0005470088,0.0002653598,0.00031363437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007007773,0.00031801808,0.0025006724,0.00025998737,0.00010904913,0.00058319024,0.00049240474,0.56612384,0.112948105,0.025659498,0.0029953327,0.28730908],"study_design_scores_gemma":[0.00003061804,0.00025808645,0.0007153348,0.0000061095325,0.000020017987,0.00009666335,0.00003913602,0.9881959,0.0061843838,0.002635583,0.0018080977,0.000010127957],"about_ca_topic_score_codex":0.0015878909,"about_ca_topic_score_gemma":0.001903733,"teacher_disagreement_score":0.0019512809,"about_ca_system_score_codex":0.00030541123,"about_ca_system_score_gemma":0.00031138438,"threshold_uncertainty_score":0.0065276623},"labels":[],"label_agreement":null},{"id":"W3007551622","doi":"10.1109/tim.2020.2973850","title":"An Adaptive Particle Filter Technique for System State Estimation and Prognosis","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Prognostics; Particle filter; Degeneracy (biology); Control theory (sociology); Computer science; Filter (signal processing); Nonlinear system; Auxiliary particle filter; Engineering; Control engineering; Kalman filter; Artificial intelligence; Data mining; Extended Kalman filter; Physics; Ensemble Kalman filter","score_opus":0.06385396380802234,"score_gpt":0.27888970715841094,"score_spread":0.2150357433503886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007551622","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012140194,0.00020123675,0.997827,0.000049579692,0.000050891053,0.000015779076,0.000013273522,0.00021997424,0.000408125],"genre_scores_gemma":[0.36530468,0.0022230612,0.6242988,0.00025854926,0.00027144418,0.0003532536,0.0003309413,0.0000945867,0.006864644],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950814,0.00008639031,0.000038891623,0.00011424279,0.00021789224,0.000034404515],"domain_scores_gemma":[0.9996045,0.00016312452,0.000047158024,0.000034158336,0.00013878159,0.000012206438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008078773,0.0009252777,0.000884477,0.0008602029,0.00050942716,0.00061422866,0.00085865514,0.0012108508,0.0013178241],"category_scores_gemma":[0.0020209479,0.0004047038,0.0007755828,0.0009842085,0.00035991071,0.001221595,0.0005690644,0.0014832393,0.00046906705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011730399,0.00008075821,0.0014320832,0.00021659094,0.000112989204,0.0001527677,0.00013432946,0.5210887,0.013002758,0.012428497,0.0038534333,0.4473798],"study_design_scores_gemma":[0.0000074258346,0.000029606166,0.0002653208,0.000008668128,0.000012027495,0.000036662255,0.000005562234,0.9953318,0.0013245585,0.0013182538,0.0016491214,0.000010887263],"about_ca_topic_score_codex":0.0076197493,"about_ca_topic_score_gemma":0.004814242,"teacher_disagreement_score":0.0076197493,"about_ca_system_score_codex":0.0004967007,"about_ca_system_score_gemma":0.0010913314,"threshold_uncertainty_score":0.015150785},"labels":[],"label_agreement":null},{"id":"W3007909572","doi":"10.1109/tpel.2020.2977274","title":"Controllable Electrochemical Impedance Spectroscopy: From Circuit Design to Control and Data Analysis","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Equivalent circuit; Electrical impedance; Dielectric spectroscopy; SIGNAL (programming language); Electronic engineering; Computer science; Voltage; Engineering; Electrical engineering; Physics; Control (management); Electrode","score_opus":0.023860742953298587,"score_gpt":0.2695425449711928,"score_spread":0.2456818020178942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007909572","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045067985,0.0029900472,0.9880788,0.0006296229,0.00012171134,0.00006410857,0.00006763192,0.00086517853,0.0026760835],"genre_scores_gemma":[0.31365198,0.014546705,0.6640787,0.0007142562,0.00049681414,0.00042722604,0.00028630634,0.00030630577,0.005491624],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989629,0.0001767359,0.000058254864,0.0001889534,0.0005677833,0.000045380188],"domain_scores_gemma":[0.9993318,0.0002839182,0.000075418546,0.00011014128,0.00016824213,0.00003055233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000990615,0.00078614743,0.0006405321,0.00077614543,0.00021619252,0.0015589339,0.0012572131,0.000835109,0.00111623],"category_scores_gemma":[0.0022434113,0.00047488208,0.0002833566,0.0007740702,0.0010304914,0.0018438621,0.0009744127,0.0015098217,0.00053020066],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018762135,0.000105065825,0.0011785559,0.0012821079,0.00008045235,0.00033504044,0.00039211535,0.022164393,0.43229976,0.10449516,0.0042875404,0.43319213],"study_design_scores_gemma":[0.000056259676,0.0005626891,0.0011795785,0.00023498789,0.000050079307,0.0010444254,0.0001679812,0.26503688,0.55045396,0.064465225,0.116598286,0.0001497395],"about_ca_topic_score_codex":0.00031231373,"about_ca_topic_score_gemma":0.0002618311,"teacher_disagreement_score":0.0015589339,"about_ca_system_score_codex":0.0006718747,"about_ca_system_score_gemma":0.00053480145,"threshold_uncertainty_score":0.0052389503},"labels":[],"label_agreement":null},{"id":"W3008729079","doi":"10.1016/j.jpowsour.2020.227948","title":"Optimal energy management with balanced fuel economy and battery life for large hybrid electric mining truck","year":2020,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Truck; Battery (electricity); Energy management; Automotive engineering; Engineering; Business; Energy (signal processing); Environmental science; Power (physics)","score_opus":0.008290239606084217,"score_gpt":0.2128930818254391,"score_spread":0.20460284221935487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008729079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6873932,0.0010100898,0.29198352,0.0007917752,0.000092894355,0.00014657044,0.00017007235,0.00024174083,0.018170098],"genre_scores_gemma":[0.9965744,0.000046015048,0.002230902,0.0000122176025,0.000006773628,0.000015588908,0.000017720598,0.000007425964,0.0010889779],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998858,0.000024819292,0.0000053971658,0.000021312439,0.00002423044,0.000038450773],"domain_scores_gemma":[0.9998292,0.00007687684,0.000022175967,0.000007424088,0.0000479451,0.000016372613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003157929,0.0004474099,0.0007859048,0.0003547416,0.0005055146,0.0010176091,0.0005791901,0.00072081917,0.001846163],"category_scores_gemma":[0.0005590724,0.00038086448,0.00030837688,0.0003671021,0.00031273148,0.00074968755,0.0005292991,0.00033775554,0.00017554093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003450861,0.00012289472,0.0007019213,0.00007645129,0.00003540911,0.00013441518,0.000042493724,0.9723221,0.008200568,0.0022927865,0.0006651002,0.015060695],"study_design_scores_gemma":[0.000017936303,0.00007178847,0.00034811688,0.0000031067602,0.000010786714,0.000011921657,0.000044199845,0.99735755,0.000666649,0.0012369683,0.0002257022,0.000005254258],"about_ca_topic_score_codex":0.004351624,"about_ca_topic_score_gemma":0.005415602,"teacher_disagreement_score":0.004351624,"about_ca_system_score_codex":0.0007576073,"about_ca_system_score_gemma":0.0005914862,"threshold_uncertainty_score":0.008652568},"labels":[],"label_agreement":null},{"id":"W3009569330","doi":"10.3390/a13030062","title":"A Review of Lithium-Ion Battery Fault Diagnostic Algorithms: Current Progress and Future Challenges","year":2020,"lang":"en","type":"review","venue":"Algorithms","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":289,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Battery (electricity); Thermal runaway; Fault (geology); Reliability engineering; Computer science; Energy density; Lithium-ion battery; Lithium (medication); Power (physics); Function (biology); Fault detection and isolation; Algorithm; Engineering; Artificial intelligence; Medicine; Engineering physics","score_opus":0.04812904358534624,"score_gpt":0.34412873545154776,"score_spread":0.2959996918662015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009569330","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007839788,0.98448074,0.0100328615,0.00051073346,0.0005224043,0.00001955562,0.00009024939,0.00009928786,0.0034600797],"genre_scores_gemma":[0.0054546986,0.98369366,0.007892016,0.00029006813,0.0005687955,0.000023592213,0.00022270816,0.000022878156,0.0018316112],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996024,0.00004945719,0.000069054724,0.0000875381,0.00016844294,0.000023076718],"domain_scores_gemma":[0.9988263,0.00060996605,0.00008585967,0.000037382397,0.00041253873,0.000027846922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008243945,0.0010632348,0.0011024305,0.0021694098,0.00027603077,0.0012543817,0.0012237582,0.0010839718,0.003075428],"category_scores_gemma":[0.0020778617,0.00042043292,0.00077381986,0.0029510877,0.00036051133,0.0022237592,0.00051290356,0.0009048708,0.001965214],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000501491,0.000064137035,0.00039958546,0.0134633165,0.000075765005,0.00009109957,0.00005979107,0.0032732538,0.0018282924,0.007140531,0.017688878,0.9558652],"study_design_scores_gemma":[0.00001400276,0.0002918728,0.0012673606,0.0061241454,0.00033607875,0.001242007,0.00014567103,0.007591918,0.0035225118,0.010048761,0.96932954,0.00008600568],"about_ca_topic_score_codex":0.0013595821,"about_ca_topic_score_gemma":0.0010748892,"teacher_disagreement_score":0.003075428,"about_ca_system_score_codex":0.000436635,"about_ca_system_score_gemma":0.0012479698,"threshold_uncertainty_score":0.010288298},"labels":[],"label_agreement":null},{"id":"W3010779281","doi":"10.1109/access.2020.2980961","title":"Machine Learning Applied to Electrified Vehicle Battery State of Charge and State of Health Estimation: State-of-the-Art","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":476,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Computer science; State of health; Artificial neural network; State of charge; Artificial intelligence; Feedforward neural network; Support vector machine; State (computer science); Machine learning; Recurrent neural network; Power (physics); Algorithm","score_opus":0.027726475101894653,"score_gpt":0.2946082673846356,"score_spread":0.26688179228274095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010779281","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012625011,0.8178769,0.15544829,0.0014836644,0.0010089258,0.00008968649,0.00022959543,0.00041135564,0.010826668],"genre_scores_gemma":[0.15650868,0.7837116,0.05114317,0.00076540385,0.0024247728,0.00016031516,0.0006155474,0.000103028826,0.0045674923],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992551,0.00014735996,0.000086856686,0.00024536476,0.00022440737,0.000040851563],"domain_scores_gemma":[0.99704605,0.0020407478,0.00016284283,0.000121160374,0.0005902585,0.000039016217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017150163,0.0010648384,0.0013979132,0.0013342656,0.0002614579,0.0018618973,0.0013008268,0.0014091791,0.0017419021],"category_scores_gemma":[0.005784737,0.00051916135,0.0011761788,0.0027308355,0.0006014778,0.0020746163,0.000670724,0.0015318707,0.0008759955],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008909268,0.00008932665,0.0019519621,0.0046155183,0.00020096313,0.00009603423,0.00013132808,0.03335454,0.0012548319,0.010258336,0.0047521307,0.94320595],"study_design_scores_gemma":[0.000039704333,0.0007959963,0.012505671,0.007752328,0.00085669,0.001018624,0.00051801675,0.6452203,0.014561655,0.04614109,0.27026024,0.0003296542],"about_ca_topic_score_codex":0.0034505497,"about_ca_topic_score_gemma":0.0012587989,"teacher_disagreement_score":0.0034505497,"about_ca_system_score_codex":0.00060210447,"about_ca_system_score_gemma":0.000799925,"threshold_uncertainty_score":0.009069979},"labels":[],"label_agreement":null},{"id":"W3011522071","doi":"10.4271/2020-37-0015","title":"Multitarget Evaluation of Hybrid Electric Vehicle Powertrain Architectures Considering Fuel Economy and Battery Lifetime","year":2020,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Powertrain; Automotive engineering; Battery (electricity); Electric vehicle; Computer science; Environmental science; Engineering; Power (physics); Torque","score_opus":0.018666717687649152,"score_gpt":0.2591561109739371,"score_spread":0.24048939328628793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011522071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7769441,0.00033802408,0.20482096,0.00014175005,0.000020277615,0.00014346883,0.00022713849,0.00019443086,0.017169861],"genre_scores_gemma":[0.99086964,0.00008102086,0.0075085843,0.000007983114,0.0000024144797,0.00005401627,0.00006254176,0.000014614586,0.0013992495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982363,0.00005818297,0.000005436046,0.000023916165,0.00006273578,0.000026116873],"domain_scores_gemma":[0.99973315,0.00015835074,0.00002729052,0.000013824731,0.000052199266,0.000015230178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057883357,0.0006880797,0.0003654839,0.0005496405,0.00019125543,0.00072908984,0.00049300195,0.00057147583,0.0013879958],"category_scores_gemma":[0.00086176,0.00021470567,0.0004653776,0.0003096661,0.00026452472,0.0005978357,0.0006252478,0.00033692678,0.000105871644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023351402,0.00002186635,0.00043904662,0.000020972207,0.00000818126,0.000020411264,0.0000068797654,0.99299484,0.0017039247,0.00030115462,0.00003911456,0.004420365],"study_design_scores_gemma":[0.0000033357037,0.000105935425,0.00042517832,0.0000036888734,0.000005738158,0.0000060435327,0.0000200911,0.99694496,0.002081031,0.00027572637,0.0001244548,0.0000037600482],"about_ca_topic_score_codex":0.0029802732,"about_ca_topic_score_gemma":0.003207515,"teacher_disagreement_score":0.0029802732,"about_ca_system_score_codex":0.0007042348,"about_ca_system_score_gemma":0.00046159024,"threshold_uncertainty_score":0.005925834},"labels":[],"label_agreement":null},{"id":"W3011754327","doi":"10.1109/tpel.2020.2982326","title":"On-Board Single-Phase Integrated Electric Vehicle Charger With V2G Functionality","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Drivetrain; Inverter; Traction motor; Automotive engineering; Electric vehicle; Engineering; Electrical engineering; Single-phase electric power; Vehicle-to-grid; Induction motor; AC power; Voltage; Power (physics); Power factor; Torque; Physics","score_opus":0.017125182004853145,"score_gpt":0.2475778358554482,"score_spread":0.23045265385059507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011754327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4925051,0.0010140064,0.3899558,0.00039631015,0.0005056675,0.00070889416,0.0010212993,0.01973299,0.09415995],"genre_scores_gemma":[0.9574962,0.00020970455,0.021126527,0.0001537458,0.00003768781,0.00006620842,0.0005582706,0.00023032397,0.020121386],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997048,0.000026797159,0.00001263831,0.000054894816,0.0001529712,0.000047882528],"domain_scores_gemma":[0.9998307,0.00001569058,0.000017544551,0.000045813045,0.00007479171,0.000015416075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016538668,0.0005212091,0.00045623654,0.0004066892,0.00019467017,0.0007101778,0.0011538683,0.00040347772,0.00976346],"category_scores_gemma":[0.00026667205,0.00016319932,0.00029846482,0.0003392557,0.00017319203,0.0006289303,0.00038971475,0.00034738338,0.0031311288],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089141837,0.00078219513,0.005752812,0.00076015736,0.00017510602,0.0008045387,0.000278728,0.009573197,0.45063427,0.005191628,0.021961797,0.5031942],"study_design_scores_gemma":[0.0004919804,0.004712868,0.018073104,0.00011132172,0.000330793,0.0061184606,0.00030139074,0.1559882,0.6095416,0.0027538114,0.20145434,0.00012211128],"about_ca_topic_score_codex":0.0010953023,"about_ca_topic_score_gemma":0.0018576229,"teacher_disagreement_score":0.00976346,"about_ca_system_score_codex":0.00027555798,"about_ca_system_score_gemma":0.00032363762,"threshold_uncertainty_score":0.032661974},"labels":[],"label_agreement":null},{"id":"W3012344304","doi":"10.1109/tte.2020.2980153","title":"An Enhanced Online Temperature Estimation for Lithium-Ion Batteries","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Chongqing Basic and Frontier Research Project; National Key Research and Development Program of China; Natural Science Foundation of Chongqing; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Robustness (evolution); Extended Kalman filter; Kalman filter; Temperature measurement; Estimation theory; Materials science; Control theory (sociology); Computer science; Algorithm; Mathematics; Thermodynamics; Statistics; Chemistry; Physics","score_opus":0.017663653692460632,"score_gpt":0.277459350317999,"score_spread":0.25979569662553836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012344304","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0072341245,0.00016449582,0.99152195,0.000028695435,0.000023712746,0.000008528101,0.000018711087,0.00047459925,0.00052522705],"genre_scores_gemma":[0.74795294,0.00053023506,0.24701355,0.00008406668,0.00005270838,0.00008248803,0.0001866793,0.00014855947,0.003948737],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972934,0.000043495533,0.000015491869,0.00007730408,0.00011585167,0.00001849119],"domain_scores_gemma":[0.9997727,0.00006794489,0.00003594622,0.00003048227,0.00008393652,0.0000089575915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003295681,0.000622893,0.0006904747,0.00033895424,0.00026723172,0.0005398906,0.0008004089,0.0005033617,0.0009990609],"category_scores_gemma":[0.0009944129,0.00035202474,0.0005424093,0.0002812591,0.0002193318,0.0012060726,0.00063642225,0.0005258913,0.0004567326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001701982,0.0000656349,0.0021535114,0.00022837849,0.000070869304,0.00012568888,0.0001539799,0.6242843,0.05707424,0.0047375066,0.0014727552,0.30946296],"study_design_scores_gemma":[0.0000036093838,0.000017132166,0.0001909853,0.0000041309668,0.000006373587,0.00002259245,0.0000039996266,0.99397236,0.00454567,0.00042507323,0.00079849246,0.000009537387],"about_ca_topic_score_codex":0.0040818523,"about_ca_topic_score_gemma":0.0031263328,"teacher_disagreement_score":0.0040818523,"about_ca_system_score_codex":0.00044260328,"about_ca_system_score_gemma":0.00047914463,"threshold_uncertainty_score":0.008116186},"labels":[],"label_agreement":null},{"id":"W3013086854","doi":"10.1109/tte.2020.2983846","title":"A Practical and Comprehensive Evaluation Method for Series-Connected Battery Pack Models","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China; Chongqing Postdoctoral Science Foundation","keywords":"Battery (electricity); Battery pack; Adaptability; Computer science; Series (stratigraphy); Identification (biology); Selection (genetic algorithm); Reliability engineering; Engineering; Artificial intelligence; Power (physics)","score_opus":0.09675267167208572,"score_gpt":0.34869886710165193,"score_spread":0.2519461954295662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013086854","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0074668466,0.00017281945,0.9880586,0.000046294794,0.000025449355,0.00007088012,0.00007279944,0.00062585354,0.0034603516],"genre_scores_gemma":[0.51084316,0.0007691775,0.4820506,0.000081103106,0.0000644001,0.0005248605,0.00075227185,0.0003553623,0.0045590973],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991316,0.00021253015,0.000058059028,0.00010678323,0.00045365153,0.000037434285],"domain_scores_gemma":[0.9989384,0.00034366595,0.00008926849,0.00017539736,0.0004288694,0.000024454597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013597342,0.001484063,0.00068897236,0.0014216298,0.00048755607,0.0009594195,0.00090920663,0.00070054486,0.0033080743],"category_scores_gemma":[0.004864547,0.00035476594,0.00071605534,0.0009558535,0.00036786054,0.0019995407,0.001051402,0.0008051286,0.00075474975],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009863152,0.00012936856,0.0028242671,0.00033611094,0.00007889446,0.0001364787,0.00014216558,0.65722513,0.016488073,0.021275401,0.004677167,0.29658833],"study_design_scores_gemma":[0.000008605609,0.000086800836,0.0005102493,0.000019571402,0.000021230784,0.000097470394,0.000036052767,0.9874877,0.004408839,0.0039687315,0.003335392,0.00001942758],"about_ca_topic_score_codex":0.0027162873,"about_ca_topic_score_gemma":0.0027910608,"teacher_disagreement_score":0.0033080743,"about_ca_system_score_codex":0.0005180486,"about_ca_system_score_gemma":0.0009689913,"threshold_uncertainty_score":0.011066675},"labels":[],"label_agreement":null},{"id":"W3013134389","doi":"10.18280/jesa.520111","title":"A Comparative Study of ANN and PI Controllers Combined with MFB Implemented to Hybrid Energy Storage System for Smooth Switching Between Battery and Ultracapacitor","year":2019,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Supercapacitor; Battery (electricity); Energy storage; Computer science; Control theory (sociology); Electrical engineering; Automotive engineering; Materials science; Engineering; Physics; Electrode; Control (management); Capacitance; Power (physics); Artificial intelligence; Thermodynamics","score_opus":0.019379715633487036,"score_gpt":0.2677182206359621,"score_spread":0.2483385050024751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013134389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5518531,0.0039194426,0.40657094,0.0004566727,0.00042398056,0.00020962015,0.00017208286,0.002413872,0.033980243],"genre_scores_gemma":[0.9828469,0.00030407027,0.014221672,0.000037609003,0.000014648109,0.000039429833,0.00004617752,0.000020565076,0.0024690074],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984026,0.000033859054,0.0000119588,0.000038493563,0.00005590358,0.00001955352],"domain_scores_gemma":[0.9997404,0.00009763233,0.000018901672,0.000026598445,0.000104334256,0.000012111557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003660966,0.00048297865,0.0003546642,0.0003057515,0.00024706934,0.00057826866,0.00039426843,0.00045676786,0.0017744192],"category_scores_gemma":[0.0007442219,0.00015069639,0.00019713595,0.00017985521,0.0001385662,0.0003976706,0.00019285003,0.00032763366,0.0002444089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019440292,0.00054298085,0.007329721,0.0012823896,0.00036612918,0.0005486734,0.0003494169,0.30810592,0.09661488,0.0032943944,0.0023619866,0.57725954],"study_design_scores_gemma":[0.000043784876,0.0008438565,0.005363748,0.000049729544,0.00008782755,0.00013336612,0.00006670833,0.9652524,0.02410339,0.0005881979,0.00344663,0.000020418209],"about_ca_topic_score_codex":0.0027714611,"about_ca_topic_score_gemma":0.003288816,"teacher_disagreement_score":0.0027714611,"about_ca_system_score_codex":0.0002256303,"about_ca_system_score_gemma":0.00022292357,"threshold_uncertainty_score":0.005936086},"labels":[],"label_agreement":null},{"id":"W3014259513","doi":"10.1109/tpel.2020.2984248","title":"Reduced-Coupling Coestimation of SOC and SOH for Lithium-Ion Batteries Based on Convex Optimization","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"State of charge; Decoupling (probability); Convex optimization; Estimator; Control theory (sociology); Computer science; State of health; Nonlinear system; Mathematical optimization; Battery (electricity); Engineering; Mathematics; Control engineering; Regular polygon","score_opus":0.01538998954794579,"score_gpt":0.2559555898931684,"score_spread":0.24056560034522262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014259513","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00520849,0.000054506163,0.9934888,0.00003375478,0.0000103462,0.0000201084,0.000010940747,0.00012820662,0.0010448216],"genre_scores_gemma":[0.73139906,0.00024130192,0.2641305,0.00008373862,0.000040305145,0.0002131406,0.0001867315,0.0001423,0.0035628716],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996934,0.00007644072,0.000017011218,0.0000685811,0.00011572946,0.00002880094],"domain_scores_gemma":[0.9996026,0.00017076825,0.00005475912,0.00003555396,0.00011927447,0.00001699819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005808641,0.0009150207,0.0005983274,0.00039524838,0.00034053758,0.000599625,0.0006637701,0.00046139053,0.0013169692],"category_scores_gemma":[0.0016315302,0.00033132822,0.00050300825,0.0003365494,0.000488469,0.0007523764,0.0009408968,0.0008597313,0.00024912704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009088719,0.000042440475,0.0005583598,0.00010850771,0.00003913254,0.00004044272,0.00008584919,0.8696951,0.008977978,0.012868333,0.0010320611,0.106460944],"study_design_scores_gemma":[0.0000026864218,0.000015707186,0.00007454072,0.0000020648608,0.0000031561938,0.000006285617,0.000003002645,0.99764603,0.0010156102,0.00095129374,0.0002756775,0.0000038854964],"about_ca_topic_score_codex":0.004991327,"about_ca_topic_score_gemma":0.0037977067,"teacher_disagreement_score":0.004991327,"about_ca_system_score_codex":0.0006300636,"about_ca_system_score_gemma":0.00086698617,"threshold_uncertainty_score":0.009924531},"labels":[],"label_agreement":null},{"id":"W3014375872","doi":"10.3390/en13071638","title":"High Reynold’s Number Turbulent Model for Micro-Channel Cold Plate Using Reverse Engineering Approach for Water-Cooled Battery in Electric Vehicles","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Coolant; Battery (electricity); Turbulence; Water cooling; Materials science; Mechanical engineering; Heat flux; Thermal; Mass flow rate; Nuclear engineering; Air cooling; Lithium-ion battery; Mechanics; Heat transfer; Engineering; Thermodynamics; Power (physics); Physics","score_opus":0.028258818695149086,"score_gpt":0.2360504708844639,"score_spread":0.2077916521893148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014375872","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11707428,0.0025210816,0.8264473,0.00090753834,0.0004947425,0.00030818084,0.0005505464,0.0005414652,0.051154945],"genre_scores_gemma":[0.90832424,0.0014021017,0.041772418,0.00017795624,0.000101774625,0.00055488024,0.00039502297,0.00021520964,0.04705646],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981457,0.00004391707,0.000009266894,0.00003110773,0.000058340684,0.000042812062],"domain_scores_gemma":[0.9997613,0.00008037658,0.0000344861,0.000011932656,0.000086475746,0.000025432093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038201432,0.00092623656,0.0008233845,0.00066885597,0.00081406866,0.0012326791,0.0012925903,0.0017111388,0.0028349592],"category_scores_gemma":[0.00069553265,0.0004869328,0.0011567941,0.00039485763,0.0011590006,0.00094004686,0.0007745303,0.0012592587,0.0005603747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035877332,0.00003287655,0.00063340244,0.000073580704,0.000012361459,0.00013259589,0.000059981605,0.97851074,0.0036344777,0.014045567,0.0005197544,0.0023088676],"study_design_scores_gemma":[0.0000032009152,0.000005326732,0.00005352154,0.000003559835,0.0000015484121,0.000006098067,0.000008168991,0.99890876,0.0002076198,0.00040693732,0.00039115993,0.0000041660387],"about_ca_topic_score_codex":0.026781801,"about_ca_topic_score_gemma":0.013919104,"teacher_disagreement_score":0.026781801,"about_ca_system_score_codex":0.0014077881,"about_ca_system_score_gemma":0.001843677,"threshold_uncertainty_score":0.053251803},"labels":[],"label_agreement":null},{"id":"W3015012245","doi":"10.3390/en13071629","title":"Li-Ion Battery Performance Degradation Modeling for the Optimal Design and Energy Management of Electrified Propulsion Systems","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Transport Canada","keywords":"Battery (electricity); Sizing; Automotive engineering; Powertrain; Energy storage; Driving cycle; Propulsion; Engineering; Reliability engineering; Electric vehicle; Electrically powered spacecraft propulsion; Power (physics); Computer science","score_opus":0.037085579441156445,"score_gpt":0.23289231953158887,"score_spread":0.19580674009043242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015012245","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3516556,0.000989068,0.6286285,0.00028637933,0.000038438793,0.00015397924,0.00050450664,0.0010827197,0.016660783],"genre_scores_gemma":[0.9836304,0.00032033128,0.011890458,0.000023477958,0.0000062972354,0.00011535038,0.00015998466,0.000046170015,0.0038073328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999877,0.000025316407,0.000008994377,0.000020248895,0.00005348633,0.000015040556],"domain_scores_gemma":[0.9998448,0.00006510805,0.000023525092,0.000015388985,0.00004747751,0.0000037971631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026471063,0.00054226146,0.0004197045,0.00033983172,0.00018207019,0.00044155816,0.0005707301,0.0004934834,0.00096287095],"category_scores_gemma":[0.0006695837,0.00021941925,0.00057329604,0.00026287365,0.00019388826,0.00057661615,0.00026325916,0.00040306328,0.00027588633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002129928,0.000018119059,0.00042232827,0.000027007543,0.000006451591,0.000020338959,0.00002095567,0.98989534,0.003992145,0.0003276999,0.00013780501,0.005110426],"study_design_scores_gemma":[0.0000011387014,0.000013989041,0.00013485788,0.0000013098726,0.0000023728728,0.0000041537724,0.0000035330859,0.9988136,0.0007715792,0.0000947781,0.00015734699,0.0000013845914],"about_ca_topic_score_codex":0.0048323283,"about_ca_topic_score_gemma":0.0033612333,"teacher_disagreement_score":0.0048323283,"about_ca_system_score_codex":0.00066670007,"about_ca_system_score_gemma":0.00044836904,"threshold_uncertainty_score":0.009608388},"labels":[],"label_agreement":null},{"id":"W3016203027","doi":"10.1109/tia.2020.2984742","title":"An Implementation of Solar PV Array Based Multifunctional EV Charger","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Photovoltaic system; Electrical engineering; Solar energy; Automotive engineering; Engineering; Engineering physics; Computer science; Electronic engineering","score_opus":0.03367801354718177,"score_gpt":0.31181660390468696,"score_spread":0.2781385903575052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016203027","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4246558,0.0019865788,0.50469434,0.000708655,0.0010649606,0.00036320178,0.00048616325,0.0077518374,0.05828854],"genre_scores_gemma":[0.951912,0.00033659296,0.034635697,0.00016664466,0.00006041459,0.0000528908,0.0001451405,0.000068047724,0.012622755],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975866,0.000029170784,0.000011189061,0.00005678742,0.00010921058,0.000034976474],"domain_scores_gemma":[0.9999105,0.000007037975,0.000010496127,0.000016960217,0.000045454733,0.000009576968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011465785,0.0003096673,0.00038327242,0.00022041399,0.00017370787,0.00046272043,0.0010604681,0.00055782584,0.0026729703],"category_scores_gemma":[0.00014914849,0.00010982021,0.00029873927,0.00018234176,0.00011321538,0.0004924217,0.0003220184,0.00033122083,0.0010264105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042583403,0.00022942982,0.0021300477,0.0005911238,0.00009285605,0.001962654,0.00019204435,0.0128522655,0.7468178,0.005126358,0.00886225,0.22071737],"study_design_scores_gemma":[0.00015245551,0.0024500394,0.0064372835,0.000052265936,0.00013441185,0.0038278783,0.00013456038,0.18187933,0.7179553,0.001154181,0.08572383,0.00009856503],"about_ca_topic_score_codex":0.0003290636,"about_ca_topic_score_gemma":0.00031498133,"teacher_disagreement_score":0.0026729703,"about_ca_system_score_codex":0.000156937,"about_ca_system_score_gemma":0.00014148487,"threshold_uncertainty_score":0.008941948},"labels":[],"label_agreement":null},{"id":"W3016438359","doi":"10.1109/tie.2020.2984980","title":"A Neural Network Based Method for Thermal Fault Detection in Lithium-Ion Batteries","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":166,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Artificial neural network; Fault detection and isolation; Battery (electricity); Residual; Computer science; Thermal; Fault (geology); Control engineering; Artificial intelligence; Engineering; Power (physics); Algorithm; Actuator","score_opus":0.041827081187288305,"score_gpt":0.28671657775509723,"score_spread":0.24488949656780892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016438359","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024155442,0.0006994322,0.9717452,0.000096311676,0.00008961992,0.00003670597,0.000059767866,0.001144788,0.001972637],"genre_scores_gemma":[0.7354997,0.0006103355,0.2558193,0.00014777349,0.0000773475,0.0001498687,0.00020722988,0.00009312093,0.0073952903],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998373,0.000027456372,0.00001188594,0.0000419597,0.00006477554,0.000016612952],"domain_scores_gemma":[0.9998147,0.00005664786,0.000026707361,0.0000131611705,0.00008264277,0.0000062028257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023844211,0.00054751895,0.000357963,0.000485806,0.00026951203,0.00045761876,0.00065552077,0.00069509534,0.0012323409],"category_scores_gemma":[0.0009390443,0.00020291808,0.00025766913,0.00043383823,0.00020213252,0.0006337666,0.00032372336,0.0005372702,0.00029676463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021880945,0.00012865892,0.0015898163,0.00019848486,0.00007649924,0.00012779437,0.00006878706,0.30579948,0.058005977,0.0031082432,0.0020055966,0.6286719],"study_design_scores_gemma":[0.0000031312181,0.000025095545,0.00035776725,0.0000062996132,0.00000807744,0.000029830844,0.0000044199387,0.99249154,0.006125856,0.00048428902,0.00045547597,0.000008231035],"about_ca_topic_score_codex":0.0034785082,"about_ca_topic_score_gemma":0.0038351608,"teacher_disagreement_score":0.0034785082,"about_ca_system_score_codex":0.0004382308,"about_ca_system_score_gemma":0.0003327949,"threshold_uncertainty_score":0.006916523},"labels":[],"label_agreement":null},{"id":"W3016536387","doi":"10.1016/j.apenergy.2020.114880","title":"A scaling approach for improved state of charge representation in rechargeable batteries","year":2020,"lang":"en","type":"article","venue":"Applied Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"State of charge; Voltage; Scaling; Battery (electricity); Charge (physics); Representation (politics); Kalman filter; Computer science; State (computer science); Electronic engineering; Algorithm; Control theory (sociology); Engineering; Electrical engineering; Power (physics); Physics; Mathematics; Artificial intelligence","score_opus":0.028536716002340246,"score_gpt":0.2538409245156504,"score_spread":0.22530420851331012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016536387","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017930532,0.00060246844,0.96549714,0.0003128234,0.00027829697,0.00006956123,0.0001044212,0.0006970229,0.014507787],"genre_scores_gemma":[0.5842806,0.0012185961,0.39999238,0.00032729455,0.00027174223,0.00023817293,0.00032198007,0.00044064687,0.012908568],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999694,0.00008062859,0.000023283277,0.000044289023,0.00013427816,0.000023617391],"domain_scores_gemma":[0.9995715,0.0001273414,0.00002332189,0.00013158326,0.00013112917,0.000015176524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059345807,0.0004829556,0.0005087218,0.0004511108,0.0004369204,0.0012595723,0.001123435,0.000657827,0.0057978304],"category_scores_gemma":[0.002361381,0.00021111662,0.0004932332,0.00069740077,0.0004571819,0.002128509,0.0007940102,0.00091381057,0.0010217461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014858533,0.00026234423,0.0003960426,0.00022489559,0.00003766878,0.00016223165,0.0001882963,0.14226075,0.05033722,0.5178199,0.0053337314,0.2828284],"study_design_scores_gemma":[0.0000083606,0.000042062857,0.00010178217,0.000021235097,0.000009646339,0.00005749185,0.000017597798,0.9148886,0.0068964767,0.071365,0.0065757264,0.000016046191],"about_ca_topic_score_codex":0.00069069356,"about_ca_topic_score_gemma":0.00078320515,"teacher_disagreement_score":0.0057978304,"about_ca_system_score_codex":0.00041277864,"about_ca_system_score_gemma":0.00036858034,"threshold_uncertainty_score":0.019395709},"labels":[],"label_agreement":null},{"id":"W3016570941","doi":"10.1109/icit45562.2020.9067186","title":"Analysis of CT-CV Charging Technique for Lithium-ion and NCM 18650 Cells Over Temperature Range","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Constant current; Lithium (medication); Materials science; Current (fluid); Manganese; Voltage; Atmospheric temperature range; Range (aeronautics); Nuclear engineering; Cobalt; Constant (computer programming); Ion; Temperature measurement; Analytical Chemistry (journal); Chemistry; Electrical engineering; Composite material; Computer science; Metallurgy; Thermodynamics; Engineering; Chromatography; Physics","score_opus":0.01364067927685465,"score_gpt":0.25916272109953997,"score_spread":0.24552204182268533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016570941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65580934,0.0032418626,0.3218594,0.00040504176,0.00030470648,0.00023222943,0.0010541412,0.0021282462,0.014965],"genre_scores_gemma":[0.97832286,0.00053365296,0.01814047,0.00005025385,0.000019019988,0.000060728402,0.0003219034,0.000098599674,0.0024524913],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993629,0.000029933197,0.000023577975,0.00009646874,0.00045441042,0.00003273128],"domain_scores_gemma":[0.9994438,0.00011701764,0.00004150141,0.00008556076,0.00029843595,0.000013653656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000385203,0.0003092283,0.00035604637,0.0007159564,0.00036174626,0.0005538023,0.000980999,0.00046347838,0.00180684],"category_scores_gemma":[0.0014472372,0.0001284169,0.00029880932,0.0011124653,0.00029726073,0.0006734202,0.000302771,0.00042361734,0.00036313283],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005924697,0.000096501964,0.0088263,0.00095131464,0.00009143936,0.0006140831,0.0005134694,0.01950712,0.75201494,0.0034351246,0.0035661901,0.20979102],"study_design_scores_gemma":[0.000014001379,0.0002933156,0.010848871,0.00003113923,0.00004332202,0.001217908,0.00023375524,0.09688196,0.87945956,0.0007597442,0.010168406,0.00004799419],"about_ca_topic_score_codex":0.0017582932,"about_ca_topic_score_gemma":0.002389642,"teacher_disagreement_score":0.00180684,"about_ca_system_score_codex":0.0006443715,"about_ca_system_score_gemma":0.00034778088,"threshold_uncertainty_score":0.0060444474},"labels":[],"label_agreement":null},{"id":"W3017075636","doi":"10.1109/icps48983.2019.9067746","title":"Predictive Based Control Algorithm for Hybrid Diesel-Battery Standalone Power Generation System","year":2019,"lang":"en","type":"article","venue":"2019 8th International Conference on Power Systems (ICPS)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cegep de Sept Iles; École de Technologie Supérieure","funders":"","keywords":"Diesel generator; Computer science; Battery (electricity); Inverter; Control theory (sociology); Power (physics); MATLAB; Model predictive control; Three-phase; Voltage; Diesel fuel; Engineering; Algorithm; Automotive engineering; Control (management); Electrical engineering","score_opus":0.02011516796093809,"score_gpt":0.26133387837689104,"score_spread":0.24121871041595294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017075636","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028112015,0.00067143765,0.96117723,0.00016924566,0.0001306626,0.000103437276,0.000060122424,0.001292709,0.008283108],"genre_scores_gemma":[0.9494058,0.00031553552,0.045710765,0.00007988455,0.00004225379,0.00019169999,0.00009507837,0.00003816194,0.0041207667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983656,0.000025677626,0.000010601947,0.00004293219,0.00006137905,0.000022769867],"domain_scores_gemma":[0.99979407,0.000076109645,0.000029463741,0.000013258304,0.00007926062,0.000007893086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038190253,0.0006071679,0.00061159674,0.00027382374,0.00035713112,0.00096469105,0.00082599936,0.0005508586,0.0022697872],"category_scores_gemma":[0.000595293,0.00023465004,0.00021093636,0.00025701846,0.00030081964,0.0003636431,0.0003653482,0.0007223877,0.00037222993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019652041,0.00008923894,0.00056433247,0.00021101304,0.000053498632,0.0001737793,0.00013924371,0.8377726,0.009292351,0.0056307237,0.0020701182,0.14380652],"study_design_scores_gemma":[0.00001796873,0.00004892594,0.0001226422,0.000007623343,0.000007983535,0.000019874953,0.000006629481,0.9975193,0.0011096577,0.00055456057,0.0005811942,0.0000035960531],"about_ca_topic_score_codex":0.0057517816,"about_ca_topic_score_gemma":0.004495133,"teacher_disagreement_score":0.0057517816,"about_ca_system_score_codex":0.0003793475,"about_ca_system_score_gemma":0.00049888267,"threshold_uncertainty_score":0.011436641},"labels":[],"label_agreement":null},{"id":"W3017186475","doi":"10.1109/tmech.2020.2986364","title":"Health Prognosis for Electric Vehicle Battery Packs: A Data-Driven Approach","year":2020,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":198,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"National Natural Science Foundation of China","keywords":"State of health; Battery (electricity); Root cause; Battery pack; Electric vehicle; Reliability engineering; Mean squared error; Root mean square; Computation; Computer science; Engineering; Automotive engineering; Statistics; Algorithm; Mathematics; Power (physics); Electrical engineering","score_opus":0.05999626192706406,"score_gpt":0.2937979418328848,"score_spread":0.23380167990582076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017186475","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.081974566,0.0007325992,0.9135497,0.00047932446,0.000051389856,0.00008166279,0.0004108631,0.0015653372,0.0011544775],"genre_scores_gemma":[0.9587985,0.00047915053,0.038623564,0.00010572441,0.000043474207,0.00009074552,0.00052696106,0.000047790123,0.0012841291],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997811,0.000032233227,0.000019500034,0.000060461804,0.00008199789,0.000024664556],"domain_scores_gemma":[0.99934465,0.0002313293,0.00010017317,0.000054366174,0.00024606936,0.00002337843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066368433,0.00084577274,0.00078148895,0.0009920388,0.00024886045,0.00079194683,0.0009321323,0.00076104107,0.000737812],"category_scores_gemma":[0.00230954,0.0004044948,0.0005775553,0.00062734226,0.00033824632,0.00097646285,0.00053086865,0.00068599265,0.00032291148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017120171,0.00012289836,0.008273975,0.00014978819,0.00005429974,0.00020831342,0.00008469492,0.8536124,0.0072986973,0.0019230883,0.0012035992,0.12689704],"study_design_scores_gemma":[0.000003522932,0.00002936918,0.000826809,0.000006032843,0.000009072267,0.000024752731,0.000015134461,0.9963259,0.0015195726,0.0010353342,0.00019734721,0.0000070191613],"about_ca_topic_score_codex":0.0053730933,"about_ca_topic_score_gemma":0.004293454,"teacher_disagreement_score":0.0053730933,"about_ca_system_score_codex":0.00057651557,"about_ca_system_score_gemma":0.00057669805,"threshold_uncertainty_score":0.010683656},"labels":[],"label_agreement":null},{"id":"W3017620809","doi":"10.1109/epec47565.2019.9074808","title":"Control of Green Configuration for Isolated Telecom Tower Base Station Application","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Cegep de Sept Iles; Dawson College; Cegep de Trois-Rivieres; École de Technologie Supérieure; Cegep de Thetford","funders":"","keywords":"Converters; Electrical engineering; Photovoltaic system; Diesel generator; Voltage; Buck converter; Engineering; Flyback converter; Automotive engineering; Computer science; Boost converter; Diesel fuel","score_opus":0.007877057567621068,"score_gpt":0.24924774430306593,"score_spread":0.24137068673544487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017620809","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4540069,0.00069581345,0.48765108,0.0003214717,0.00045882125,0.00022498253,0.0004792304,0.0046315864,0.051530115],"genre_scores_gemma":[0.9932248,0.000057079404,0.0039119893,0.000032217184,0.000018125384,0.000027993634,0.000039939456,0.000029384311,0.0026585064],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990356,0.000009766451,0.0000038882245,0.00003309675,0.000030083937,0.000019541743],"domain_scores_gemma":[0.99991286,0.0000140103,0.000018460505,0.000012056941,0.00003072544,0.000011790386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007523536,0.0005065659,0.0002140771,0.00025039964,0.00034337776,0.0006734546,0.0005404696,0.00026807742,0.0046594157],"category_scores_gemma":[0.00012671626,0.000087284156,0.00013586004,0.00016890252,0.00014446842,0.00025289485,0.00020405678,0.00023848987,0.0006844039],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016178413,0.00038332996,0.005073217,0.0006337703,0.00012439051,0.0013503539,0.00060086563,0.11155055,0.5372447,0.0066864933,0.010307551,0.32442704],"study_design_scores_gemma":[0.0002646233,0.0015718609,0.014867997,0.000108579996,0.00015629735,0.0010272636,0.00037298654,0.7533638,0.19263808,0.0042455527,0.031299412,0.00008350499],"about_ca_topic_score_codex":0.0010917567,"about_ca_topic_score_gemma":0.002371884,"teacher_disagreement_score":0.0046594157,"about_ca_system_score_codex":0.00024854153,"about_ca_system_score_gemma":0.00013970933,"threshold_uncertainty_score":0.01558727},"labels":[],"label_agreement":null},{"id":"W3018035973","doi":"10.1109/pesgre45664.2020.9070505","title":"Analysis of CT-CV Charging Technique for Lithium-ion and NCM 18650 Cells","year":2020,"lang":"en","type":"article","venue":"2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Constant current; Battery (electricity); Lithium (medication); Voltage; Materials science; Automotive engineering; Nuclear engineering; Manganese; Controller (irrigation); Lithium-ion battery; Electric vehicle; Constant (computer programming); Electrical engineering; Computer science; Analytical Chemistry (journal); Chemistry; Engineering; Physics; Thermodynamics; Metallurgy; Power (physics)","score_opus":0.017191615434643905,"score_gpt":0.25687452759038165,"score_spread":0.23968291215573775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3018035973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7265775,0.0020893065,0.24386953,0.00039658864,0.00026406295,0.00028495336,0.0011241453,0.0022417593,0.023152146],"genre_scores_gemma":[0.9912081,0.00020072103,0.0058446703,0.000024671184,0.000008046433,0.0000317193,0.00018877679,0.00004533184,0.0024479637],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994802,0.00002953691,0.000021421138,0.000057184574,0.00038021698,0.00003145417],"domain_scores_gemma":[0.99955016,0.00010811093,0.000035999932,0.00005452909,0.00024037348,0.000010826606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022970527,0.00025856862,0.0002688148,0.0005121661,0.00025086344,0.0005265614,0.00082745444,0.00038906996,0.002608904],"category_scores_gemma":[0.00092509354,0.000084617815,0.0002733357,0.0006730763,0.00019017037,0.00039030737,0.0001762539,0.00029579687,0.00036552484],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011467715,0.00015248818,0.009864621,0.0012008569,0.00010225318,0.0008042613,0.0006404992,0.075664006,0.60601795,0.0048960117,0.005840664,0.29366976],"study_design_scores_gemma":[0.00003082504,0.0007970881,0.019861761,0.000052940286,0.00005112046,0.0011510284,0.00034577184,0.40609434,0.5571824,0.0010171905,0.013360322,0.00005515812],"about_ca_topic_score_codex":0.0028784766,"about_ca_topic_score_gemma":0.0022017949,"teacher_disagreement_score":0.0028784766,"about_ca_system_score_codex":0.00063204893,"about_ca_system_score_gemma":0.00029128007,"threshold_uncertainty_score":0.00872761},"labels":[],"label_agreement":null},{"id":"W3018144864","doi":"10.1109/pesgre45664.2020.9070666","title":"A Comprehensive Review of Power Electronics Enabled Active Battery Cell Balancing for Smart Energy Management","year":2020,"lang":"en","type":"review","venue":"2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); Computer science; Voltage; Electrical engineering; Power (physics); Battery pack; Electronics; Lead–acid battery; Trickle charging; Cell voltage; Power management; Lithium-ion battery; Power electronics; Automotive battery; Process (computing); Automotive engineering; Engineering; Anode; Chemistry","score_opus":0.02172921784557763,"score_gpt":0.2836392301611716,"score_spread":0.26191001231559397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3018144864","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005468741,0.9903211,0.0020751,0.00020508774,0.00045951692,0.000025715904,0.00012868908,0.000054264074,0.006183668],"genre_scores_gemma":[0.0028291729,0.9903502,0.0019383169,0.00018257464,0.0002911089,0.00002831113,0.00020994981,0.000010394027,0.0041599236],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998242,0.000017413484,0.000024804323,0.00003664052,0.00008206551,0.000014801383],"domain_scores_gemma":[0.9997968,0.00007039548,0.00003204823,0.00000976865,0.00007755734,0.00001334885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030950052,0.000883303,0.00093563856,0.0019340145,0.00024724985,0.0008907919,0.0007971154,0.00064718694,0.00797995],"category_scores_gemma":[0.00046814265,0.0003271592,0.00050641235,0.0030946292,0.00018320334,0.0014522265,0.00050139334,0.0008370389,0.0039490215],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004876912,0.000087937085,0.00012285475,0.02471631,0.00006137277,0.00013903566,0.00004708037,0.00096775126,0.0059518064,0.004860098,0.032816816,0.9301802],"study_design_scores_gemma":[0.0000060706607,0.0001218554,0.00039318678,0.002048094,0.000082427985,0.00051320734,0.000030199808,0.00030495145,0.0016966435,0.0010920699,0.9936904,0.000020910758],"about_ca_topic_score_codex":0.0006234804,"about_ca_topic_score_gemma":0.0010275915,"teacher_disagreement_score":0.00797995,"about_ca_system_score_codex":0.0002804125,"about_ca_system_score_gemma":0.00067435374,"threshold_uncertainty_score":0.02669561},"labels":[],"label_agreement":null},{"id":"W3018271682","doi":"10.1109/epec47565.2019.9074781","title":"Performance Analysis of Coulomb Counting Approach for State of Charge Estimation","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Coulomb; State of charge; Battery (electricity); Computer science; Error analysis; Charge (physics); Estimation; Error detection and correction; Approximation error; State (computer science); Observational error; Current (fluid); Measurement uncertainty; Algorithm; Physics; Applied mathematics; Mathematics; Electrical engineering; Statistics; Engineering; Quantum mechanics; Power (physics)","score_opus":0.014419425376158847,"score_gpt":0.26384025484238866,"score_spread":0.24942082946622982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3018271682","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09241383,0.003548425,0.8885445,0.0006310311,0.0001824072,0.00010396182,0.00015533375,0.0014750888,0.01294551],"genre_scores_gemma":[0.94941753,0.0009458683,0.046745624,0.0002189172,0.000074431766,0.000079504236,0.00025558934,0.00010003393,0.0021623615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970246,0.00088116794,0.00012210742,0.00039497516,0.0011632759,0.00041400245],"domain_scores_gemma":[0.98914975,0.007475007,0.000715546,0.0005059579,0.0019375818,0.00021616492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045942888,0.001083497,0.0013142069,0.0012405514,0.00084259734,0.0020533528,0.0015811326,0.001413686,0.002339194],"category_scores_gemma":[0.021403747,0.00024603994,0.00046335868,0.0012406831,0.00086512044,0.0022061025,0.002035006,0.0010454501,0.0005031727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067585515,0.0001304364,0.005479786,0.00026065632,0.00012106625,0.00025851247,0.00016215636,0.835541,0.0057786494,0.032462753,0.00224066,0.11688848],"study_design_scores_gemma":[0.000004843088,0.00004411459,0.00026615488,0.000011864101,0.000009596075,0.000053578475,0.000019753288,0.996431,0.0014583787,0.0014709007,0.00021856982,0.000011268874],"about_ca_topic_score_codex":0.008414704,"about_ca_topic_score_gemma":0.0033714205,"teacher_disagreement_score":0.008414704,"about_ca_system_score_codex":0.0014767374,"about_ca_system_score_gemma":0.0022997088,"threshold_uncertainty_score":0.024297178},"labels":[],"label_agreement":null},{"id":"W3018836444","doi":"10.1109/epec47565.2019.9074825","title":"Recursive Least Square Estimation Approach to Real-Time Parameter Identification in Li-ion Batteries","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Identification (biology); Estimation theory; Square (algebra); Estimation; Computer science; Ion; Control theory (sociology); Algorithm; Mathematics; Engineering; Physics; Artificial intelligence; Control (management)","score_opus":0.01512883908561392,"score_gpt":0.26202352272701385,"score_spread":0.24689468364139994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3018836444","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036759526,0.00021623653,0.9952827,0.000048742648,0.000017667579,0.000010560232,0.000009511767,0.00030895448,0.00042971547],"genre_scores_gemma":[0.55956584,0.000830304,0.433147,0.000170396,0.00008594958,0.00017463473,0.0001644953,0.000204224,0.0056572515],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962544,0.00012811105,0.000025395897,0.00008976919,0.000103114726,0.000028196182],"domain_scores_gemma":[0.9993641,0.00039055472,0.00006232224,0.00004441651,0.00012988274,0.000008855811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007104069,0.00067099574,0.0007272173,0.00031376598,0.0003047896,0.00074210146,0.0008433524,0.0008718856,0.0011428604],"category_scores_gemma":[0.0029794376,0.00042439057,0.00039802256,0.0005067064,0.00038736663,0.0007421043,0.000521684,0.0010748259,0.0005599292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006551516,0.00004224265,0.0004371945,0.00014072921,0.00006011797,0.00009433779,0.000117120995,0.865879,0.008371147,0.006109872,0.000790468,0.11789223],"study_design_scores_gemma":[0.0000029711034,0.000013732558,0.00007660341,0.0000033106894,0.0000038337844,0.000013941845,0.0000068638924,0.9976555,0.00081244094,0.0009785965,0.00042678954,0.0000053922295],"about_ca_topic_score_codex":0.006022,"about_ca_topic_score_gemma":0.004571136,"teacher_disagreement_score":0.006022,"about_ca_system_score_codex":0.0003713189,"about_ca_system_score_gemma":0.0007403056,"threshold_uncertainty_score":0.0119739175},"labels":[],"label_agreement":null},{"id":"W3019587110","doi":"10.1038/s41598-020-64174-2","title":"A Facile Approach to High Precision Detection of Cell-to-Cell Variation for Li-ion Batteries","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Argonne National Laboratory; Ministry of Science and Technology of the People's Republic of China; Advanced Research Projects Agency - Energy; National Natural Science Foundation of China; Canada Excellence Research Chairs, Government of Canada; U.S. Department of Energy","keywords":"Homogeneity (statistics); Computer science; Battery (electricity); Voltage; Lithium-ion battery; Electrical impedance; Current source; Electrochemistry; Materials science; Electrical engineering; Electrode; Chemistry; Physics; Engineering","score_opus":0.020212908643731542,"score_gpt":0.23720965804739957,"score_spread":0.21699674940366803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019587110","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08339677,0.0064417548,0.90062815,0.00065182376,0.00067859155,0.0003922928,0.001033686,0.0027819888,0.003994935],"genre_scores_gemma":[0.46628082,0.0057637584,0.5213488,0.0008088267,0.00023597063,0.0010935277,0.0009004082,0.00019477429,0.0033731032],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985266,0.00016456607,0.000099288874,0.0004354848,0.00069741654,0.000076599834],"domain_scores_gemma":[0.99911743,0.0002722412,0.00013046179,0.000137695,0.000304013,0.000038262635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015654772,0.0013470215,0.00091923267,0.0012956249,0.00039371516,0.0007984488,0.001206098,0.0012811616,0.0013002569],"category_scores_gemma":[0.0027180575,0.00063018576,0.00046004643,0.0010761931,0.0006811559,0.0012820801,0.0014095865,0.0020822384,0.0010383338],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003322187,0.000043020347,0.0005099916,0.0002234459,0.00001887895,0.00011594355,0.00009329849,0.00041251883,0.9715778,0.0011012299,0.0007509987,0.025119537],"study_design_scores_gemma":[0.000010555303,0.00015467255,0.00086967275,0.000019314746,0.000028780343,0.00036835726,0.000056172168,0.0064707627,0.9844301,0.000708253,0.0068313596,0.000052114516],"about_ca_topic_score_codex":0.00047885173,"about_ca_topic_score_gemma":0.0012624856,"teacher_disagreement_score":0.0015654772,"about_ca_system_score_codex":0.00048108213,"about_ca_system_score_gemma":0.00064796983,"threshold_uncertainty_score":0.008279085},"labels":[],"label_agreement":null},{"id":"W3019846617","doi":"10.1109/epec47565.2019.9074789","title":"A Scaling Approach for Improved Open Circuit Voltage Modeling in Li-ion Batteries","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"State of charge; Voltage; Scaling; Battery (electricity); Equivalent circuit; Polynomial; Open-circuit voltage; Computer science; Inverse; Electronic engineering; Topology (electrical circuits); Electrical engineering; Engineering; Mathematics; Physics; Power (physics)","score_opus":0.05242540005013426,"score_gpt":0.28293019521546686,"score_spread":0.2305047951653326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019846617","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019370459,0.0002700978,0.9764065,0.00012659628,0.000035158508,0.000041489708,0.00008834465,0.0006987031,0.0029626654],"genre_scores_gemma":[0.7548526,0.0006699604,0.23991588,0.000105578634,0.000052238953,0.00025822993,0.00020138577,0.00028349692,0.0036606356],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999579,0.000095067626,0.00003352739,0.000057609155,0.00020705296,0.000027696535],"domain_scores_gemma":[0.99964154,0.00012907335,0.00004913727,0.000075800126,0.00009765266,0.00000685388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038296837,0.00057247456,0.00027447377,0.00048583886,0.00025613388,0.0006967942,0.000682091,0.00039971902,0.0013999515],"category_scores_gemma":[0.0014479933,0.00021952012,0.00049698557,0.0003743726,0.00038284846,0.001255219,0.0004213919,0.00064574066,0.00038122686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060137634,0.00015336851,0.0014381659,0.00022281749,0.000024448862,0.00021519195,0.00031096037,0.6829771,0.104665205,0.09649509,0.001601093,0.111836396],"study_design_scores_gemma":[0.000002560296,0.00003419991,0.00017963786,0.000010352154,0.000005328731,0.000047525227,0.000015090118,0.9779774,0.009850565,0.008450131,0.0034165452,0.000010583025],"about_ca_topic_score_codex":0.0014381873,"about_ca_topic_score_gemma":0.0015729908,"teacher_disagreement_score":0.0014381873,"about_ca_system_score_codex":0.000579736,"about_ca_system_score_gemma":0.00045543132,"threshold_uncertainty_score":0.0046833754},"labels":[],"label_agreement":null},{"id":"W3020474934","doi":"10.1002/est2.159","title":"Experimental investigation of a compressed air vehicle prototype with phase change materials for heat recovery","year":2020,"lang":"en","type":"article","venue":"Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Compressed air; Heat exchanger; Work (physics); Automotive engineering; Torque; Materials science; Power (physics); Powertrain; Range (aeronautics); Mechanical engineering; Phase-change material; Nuclear engineering; Environmental science; Process engineering; Phase change; Composite material; Engineering; Thermodynamics; Physics","score_opus":0.04345613122108627,"score_gpt":0.2758426307176801,"score_spread":0.23238649949659385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020474934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99208105,0.00007973737,0.005924703,0.000046454898,0.000045180783,0.00019389944,0.00021869711,0.00019614298,0.0012140828],"genre_scores_gemma":[0.99296486,0.00007123929,0.004228786,0.000014714523,0.0000072746084,0.000098773045,0.00018707507,0.000023959403,0.0024034423],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99963176,0.000046832756,0.000018990733,0.00006357269,0.0001850116,0.000053839183],"domain_scores_gemma":[0.9995627,0.00008424218,0.000034938752,0.00006073718,0.00021136635,0.000046070007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004773893,0.00046117266,0.0004796254,0.00040914523,0.00046213463,0.0003506573,0.0008698181,0.00057188666,0.0024434403],"category_scores_gemma":[0.00051552604,0.00018729849,0.00029948613,0.0002546665,0.0004889787,0.00056115235,0.00029487754,0.00036372876,0.0005124022],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012652632,0.00088889874,0.00466311,0.0006749905,0.000049108075,0.0006395535,0.00047714368,0.0028654994,0.9655852,0.0004658518,0.0006301721,0.021795267],"study_design_scores_gemma":[0.0001785415,0.009845621,0.012544018,0.000030607043,0.0000751524,0.00040585332,0.000633285,0.008892076,0.95957816,0.000086170614,0.007688709,0.000041856696],"about_ca_topic_score_codex":0.001257994,"about_ca_topic_score_gemma":0.0016916324,"teacher_disagreement_score":0.0024434403,"about_ca_system_score_codex":0.00031150016,"about_ca_system_score_gemma":0.00041439827,"threshold_uncertainty_score":0.008174121},"labels":[],"label_agreement":null},{"id":"W3023828496","doi":"10.4271/2013-01-2560","title":"Physics-Based Models, Sensitivity Analysis, and Optimization of Automotive Batteries","year":2013,"lang":"en","type":"article","venue":"SAE International journal of passenger cars. Electronic and electrical systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automotive industry; Sensitivity (control systems); Physics; Automotive engineering; Aerospace engineering; Engineering; Electronic engineering","score_opus":0.007742135802129266,"score_gpt":0.2335945203975606,"score_spread":0.22585238459543133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023828496","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14453453,0.0029740317,0.8023269,0.0010883235,0.000117438205,0.00027820416,0.0007818805,0.0005097223,0.04738898],"genre_scores_gemma":[0.9759126,0.0012046037,0.013260135,0.00009024939,0.000037417878,0.00033889207,0.00023889694,0.00006641347,0.00885077],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996786,0.00012550116,0.000012736579,0.00003706349,0.00010630668,0.000039764305],"domain_scores_gemma":[0.99942374,0.00041352995,0.0000571838,0.000022736775,0.00007262845,0.000010161806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080240273,0.0008780006,0.0008462628,0.0008198911,0.00041783226,0.0011961004,0.00086583,0.0012958526,0.002022289],"category_scores_gemma":[0.001795515,0.00053892174,0.0010691574,0.0005679308,0.0008276315,0.00070499897,0.000925023,0.00084694655,0.0002094337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000056798253,0.000005588057,0.00007481253,0.000018693789,0.0000057169204,0.0000146736775,0.000009610797,0.99661106,0.0003895336,0.0020725098,0.0000518149,0.00074038067],"study_design_scores_gemma":[0.0000021613528,0.000007990287,0.00008752682,0.0000047915137,0.000003351514,0.0000057824254,0.00000578701,0.9972656,0.00022259438,0.0021310481,0.00025884196,0.000004628266],"about_ca_topic_score_codex":0.008253449,"about_ca_topic_score_gemma":0.0026742306,"teacher_disagreement_score":0.008253449,"about_ca_system_score_codex":0.0010755741,"about_ca_system_score_gemma":0.0008059005,"threshold_uncertainty_score":0.016410828},"labels":[],"label_agreement":null},{"id":"W3024109504","doi":"10.1149/ma2020-01138mtgabs","title":"Does DUAL Layer Cathode Increase the POWER Density of Lithium-ION Batteries ?","year":2020,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Lithium (medication); Materials science; Cathode; Power density; Battery (electricity); Electrolyte; Electrode; Energy storage; Optoelectronics; Capacity loss; Lithium-ion battery; Nanotechnology; Electrical engineering; Power (physics); Chemistry; Engineering","score_opus":0.02022482107059615,"score_gpt":0.25494192470383703,"score_spread":0.2347171036332409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024109504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9372633,0.034246165,0.015538325,0.0020464722,0.0007658278,0.000072248506,0.00039328722,0.00040561808,0.009268718],"genre_scores_gemma":[0.9736779,0.011443638,0.007908647,0.00032868047,0.000118866614,0.000024735296,0.00027349632,0.00008696816,0.0061371992],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998337,0.000014804785,0.000009430995,0.00003864706,0.00007465589,0.000028734525],"domain_scores_gemma":[0.99985874,0.000030263755,0.000020001442,0.00001153285,0.00006292986,0.000016454935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024860763,0.0004250499,0.00045018533,0.00023626687,0.00011563837,0.0009347395,0.0004755229,0.0009341145,0.0025813829],"category_scores_gemma":[0.00041593326,0.00016925494,0.00022868018,0.00022300499,0.00017015755,0.0012041315,0.0002537818,0.000401288,0.0013354808],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027295243,0.00010645156,0.0007159208,0.00044663704,0.000019134664,0.00016457912,0.000027647888,0.00016984795,0.9772199,0.00038265533,0.00042368248,0.020050583],"study_design_scores_gemma":[0.000012640906,0.0005015894,0.001935471,0.000030659412,0.0000396146,0.00033429492,0.00005921705,0.0018241572,0.9881175,0.00024862878,0.0068857945,0.000010442626],"about_ca_topic_score_codex":0.0001388662,"about_ca_topic_score_gemma":0.0002576087,"teacher_disagreement_score":0.0025813829,"about_ca_system_score_codex":0.00019179926,"about_ca_system_score_gemma":0.00007898107,"threshold_uncertainty_score":0.008635581},"labels":[],"label_agreement":null},{"id":"W3024279538","doi":"10.1149/ma2020-012427mtgabs","title":"Investigation of Li-Ion Batteries for Fast Charging at Low Temperature","year":2020,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Battery (electricity); Range (aeronautics); Automotive engineering; Computer science; Ion; Electrical engineering; Environmental science; Materials science; Engineering; Chemistry; Physics; Power (physics); Composite material; Thermodynamics","score_opus":0.022306249267189264,"score_gpt":0.24313144994151556,"score_spread":0.2208252006743263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024279538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98024344,0.0073442566,0.005335115,0.00025710813,0.00009761218,0.000102886945,0.00073165307,0.00011197121,0.0057759862],"genre_scores_gemma":[0.98354405,0.0052811634,0.0048744567,0.0000824902,0.000030393518,0.0000834056,0.0006906537,0.00004440542,0.005368943],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99961984,0.000022686454,0.000031667798,0.000054176882,0.0002187334,0.00005281761],"domain_scores_gemma":[0.99975854,0.000055210585,0.000028911356,0.000026141262,0.00011514195,0.000016027941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040742528,0.00038930296,0.00049968815,0.00028397134,0.00036591568,0.00094787235,0.000579057,0.0005621891,0.0015997514],"category_scores_gemma":[0.000580105,0.00022942052,0.0004856488,0.0004488022,0.00024341728,0.0009229502,0.00026921387,0.0006443064,0.0009758585],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014966773,0.00007943928,0.0010288913,0.00064248295,0.000021528438,0.00024656867,0.0002360004,0.0020795455,0.9828997,0.00068437034,0.0003950356,0.011536698],"study_design_scores_gemma":[0.000009141839,0.00092086557,0.003970087,0.00005013422,0.000027436203,0.0003791019,0.00022179443,0.005081537,0.982193,0.00024456816,0.0068764337,0.000025890155],"about_ca_topic_score_codex":0.0011669196,"about_ca_topic_score_gemma":0.001730727,"teacher_disagreement_score":0.0015997514,"about_ca_system_score_codex":0.00046989694,"about_ca_system_score_gemma":0.0002694437,"threshold_uncertainty_score":0.0053517222},"labels":[],"label_agreement":null},{"id":"W3024286251","doi":"10.1109/tte.2020.2994543","title":"State-of-Health Estimation of Lithium-Ion Batteries Using Incremental Capacity Analysis Based on Voltage–Capacity Model","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":199,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"State of health; Battery (electricity); Voltage; Computer science; Lithium-ion battery; Process (computing); Battery capacity; Control theory (sociology); Reliability engineering; Artificial intelligence; Engineering; Electrical engineering; Power (physics)","score_opus":0.0477639405610212,"score_gpt":0.28049412517341776,"score_spread":0.23273018461239656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024286251","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15212943,0.00089564954,0.83935374,0.00012843143,0.000044098153,0.000093571136,0.00049299473,0.0017308112,0.005131282],"genre_scores_gemma":[0.9714112,0.00042296815,0.026131945,0.000046938363,0.000017924214,0.00008778964,0.00042548336,0.00006162558,0.0013940781],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998535,0.000018863453,0.0000088829065,0.000037886577,0.00006337974,0.000017414757],"domain_scores_gemma":[0.9997311,0.00010667442,0.000042163985,0.00003379162,0.00007864104,0.000007587031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029333535,0.00061660766,0.00041704238,0.00089931494,0.00019760964,0.0005079667,0.0007590725,0.00038822263,0.0009363836],"category_scores_gemma":[0.001311147,0.00018880863,0.000498452,0.00062735635,0.00028516483,0.0009805406,0.00040499328,0.00038708534,0.00030402315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001896437,0.00010954622,0.010520239,0.00032544695,0.00008977873,0.00021987349,0.00020250712,0.7444936,0.041737128,0.006212502,0.0018507659,0.19404899],"study_design_scores_gemma":[0.0000020852904,0.000021840997,0.0012401383,0.000007274256,0.000010626277,0.00004330704,0.000014909344,0.9906335,0.0063795005,0.0011154105,0.0005157458,0.000015608535],"about_ca_topic_score_codex":0.0036335913,"about_ca_topic_score_gemma":0.0036734883,"teacher_disagreement_score":0.0036335913,"about_ca_system_score_codex":0.00048509522,"about_ca_system_score_gemma":0.00049138145,"threshold_uncertainty_score":0.007224858},"labels":[],"label_agreement":null},{"id":"W3024385899","doi":"10.5098/hmt.14.17","title":"THERMAL BEHAVIOR OF LITHIUM-ION BATTERIES: AGING, HEAT GENERATION, THERMAL MANAGEMENT AND FAILURE","year":2020,"lang":"en","type":"article","venue":"Frontiers in Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermal fluids; Lithium (medication); Materials science; Frontier; Thermal; Thermal management of electronic devices and systems; Heat generation; Engineering physics; Mechanical engineering; Engineering; Thermodynamics; Political science; Psychology; Thermal resistance; Physics","score_opus":0.013445573784451315,"score_gpt":0.22084224434878832,"score_spread":0.207396670564337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024385899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8492485,0.118511975,0.015862096,0.0015518885,0.00046247288,0.000077954224,0.0009865664,0.0004711021,0.012827414],"genre_scores_gemma":[0.9778681,0.013719504,0.0008481369,0.00013742282,0.00017352433,0.000030522835,0.00046865465,0.00008303459,0.0066710655],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997938,0.000035822035,0.000012524797,0.00002598192,0.00010990171,0.000022024258],"domain_scores_gemma":[0.9995952,0.00012606937,0.000063268686,0.000027948337,0.00016298602,0.000024481464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056353566,0.00050432055,0.0005415161,0.0005215466,0.00028309255,0.0008326875,0.00059784914,0.00057433354,0.0025547761],"category_scores_gemma":[0.0012159396,0.00022641731,0.0002889459,0.00044096197,0.0004782895,0.0016707138,0.00041105814,0.00046668967,0.0010387859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003540473,0.0006054838,0.05772316,0.0038349535,0.00023621596,0.0012087027,0.0015603701,0.059080925,0.54490876,0.007738129,0.019166827,0.30039605],"study_design_scores_gemma":[0.00010048084,0.004631193,0.18868363,0.0008278878,0.0003355532,0.0046452456,0.0022344978,0.21246791,0.49919128,0.023790542,0.062491216,0.0006005684],"about_ca_topic_score_codex":0.0006981535,"about_ca_topic_score_gemma":0.0007017042,"teacher_disagreement_score":0.0025547761,"about_ca_system_score_codex":0.00041495982,"about_ca_system_score_gemma":0.00021504516,"threshold_uncertainty_score":0.008546591},"labels":[],"label_agreement":null},{"id":"W3024541755","doi":"10.1016/j.jprocont.2020.04.001","title":"Multiscale model predictive control of battery systems for frequency regulation markets using physics-based models","year":2020,"lang":"en","type":"article","venue":"Journal of Process Control","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Johnson Controls; U.S. Department of Energy; Pacific Northwest National Laboratory; National Science Foundation","keywords":"Model predictive control; Term (time); Computer science; Battery (electricity); Fidelity; Function (biology); Asset (computer security); Exploit; Energy (signal processing); Electricity; Control engineering; Control theory (sociology); Control (management); Engineering; Power (physics); Artificial intelligence","score_opus":0.03409760507512777,"score_gpt":0.2771710583083815,"score_spread":0.24307345323325374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024541755","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1644561,0.0006363307,0.8168055,0.00089154654,0.00018388254,0.00004531675,0.00011693481,0.0002850278,0.016579295],"genre_scores_gemma":[0.9929998,0.00013906533,0.0052183955,0.00003606339,0.000027798003,0.00002952714,0.000026549258,0.000016317294,0.0015064349],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999088,0.000024550174,0.000003937644,0.00002142062,0.000026018535,0.000015292533],"domain_scores_gemma":[0.9997192,0.0001479333,0.00004503526,0.000019525101,0.000047663074,0.00002062785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027713142,0.00039335294,0.00082533696,0.00027153257,0.000369099,0.0008715309,0.00068589125,0.0007366405,0.0020593235],"category_scores_gemma":[0.001121122,0.00028542295,0.000587265,0.00021858234,0.0005794551,0.00077513355,0.00076871034,0.0007552667,0.00014315432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020826134,0.000022064056,0.00017475498,0.00002325083,0.000017610504,0.000027521975,0.00002096983,0.97909284,0.0015092065,0.0149631975,0.0003173903,0.003810281],"study_design_scores_gemma":[0.0000012698167,0.0000036118317,0.000035989706,7.6211563e-7,0.0000012999011,0.0000013086728,0.0000013519231,0.99861085,0.000044275228,0.0012537723,0.000044205404,0.0000012258347],"about_ca_topic_score_codex":0.006127928,"about_ca_topic_score_gemma":0.0048381975,"teacher_disagreement_score":0.006127928,"about_ca_system_score_codex":0.0005690999,"about_ca_system_score_gemma":0.0005808223,"threshold_uncertainty_score":0.012184501},"labels":[],"label_agreement":null},{"id":"W3024678734","doi":"10.1149/ma2020-012136mtgabs","title":"Investigation of Electron-Beam Induced Damage in Lithium-Ion Batteries","year":2020,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; McGill University","funders":"","keywords":"Electron; Atomic physics; Materials science; Ion; Beam (structure); Electron beam-induced deposition; Cathode ray; Optics; Chemistry; Physics; Nuclear physics","score_opus":0.029916935898989968,"score_gpt":0.25778266717605786,"score_spread":0.22786573127706788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024678734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983064,0.002411961,0.008228467,0.00013792435,0.00003309357,0.000040963863,0.00019771092,0.00007560016,0.0058102882],"genre_scores_gemma":[0.99434173,0.00089258095,0.0029191966,0.000033136326,0.000002972479,0.00001531604,0.00012156963,0.000009094918,0.0016643133],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988735,0.0000062811055,0.000004453665,0.000012627004,0.00007293792,0.00001632302],"domain_scores_gemma":[0.99991214,0.000026592588,0.000014224597,0.0000063129214,0.000035031924,0.000005748298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013441873,0.0001303986,0.00018738139,0.00042233535,0.00027641736,0.0002561837,0.0003770677,0.0005285159,0.0012637055],"category_scores_gemma":[0.0002675685,0.00014088175,0.00013151974,0.00032746815,0.00022704357,0.0004467985,0.00023529168,0.00023289658,0.00016216653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021130139,0.00013405539,0.021247953,0.0011674725,0.000059848804,0.0032539181,0.00062316435,0.031202493,0.9078926,0.004308898,0.0009907488,0.028907571],"study_design_scores_gemma":[0.000022709948,0.0006038457,0.054862447,0.0001383466,0.000063163134,0.0025281126,0.0012990049,0.21354407,0.7147861,0.0026971973,0.0094076,0.00004745906],"about_ca_topic_score_codex":0.0007289669,"about_ca_topic_score_gemma":0.0013399828,"teacher_disagreement_score":0.0012637055,"about_ca_system_score_codex":0.0002693343,"about_ca_system_score_gemma":0.00012955174,"threshold_uncertainty_score":0.004227519},"labels":[],"label_agreement":null},{"id":"W3024840827","doi":"10.1149/09707.0195ecst","title":"A Comprehensive Comparison of the Phase Change Material-Based Internal and External Cooling Systems","year":2020,"lang":"en","type":"article","venue":"ECS Transactions","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Battery (electricity); Materials science; Phase-change material; Thermal conductivity; Battery pack; Thermal; Water cooling; Internal heating; Nuclear engineering; Electrical conductor; Energy storage; Composite material; Thermal energy storage; Mechanical engineering; Thermodynamics; Engineering; Power (physics); Physics","score_opus":0.07171224409423473,"score_gpt":0.3189900109297922,"score_spread":0.24727776683555747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024840827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90512264,0.01066561,0.059805896,0.00015776932,0.00036684668,0.00033073983,0.0007777092,0.0007381834,0.02203463],"genre_scores_gemma":[0.9677068,0.0032781097,0.020622807,0.00006289184,0.000059904156,0.00017962996,0.00071359484,0.0002115866,0.0071645854],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997378,0.000037397673,0.000016319613,0.000050371367,0.00012369071,0.000034393554],"domain_scores_gemma":[0.99979454,0.00004301448,0.000020053827,0.000033078184,0.000098674136,0.000010706222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034640616,0.00034487998,0.00045040378,0.00038401908,0.00023262737,0.00043894176,0.00042213226,0.00022909984,0.0026035702],"category_scores_gemma":[0.0007921721,0.00012514477,0.00031880458,0.00040975725,0.00023240547,0.0006784927,0.0003054057,0.00028430455,0.00059810583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008343045,0.00012362617,0.0026162544,0.0018536599,0.00006164734,0.00013960776,0.00018401828,0.0051622842,0.80142486,0.0018553912,0.0017094655,0.18403488],"study_design_scores_gemma":[0.000049548664,0.0011268511,0.0076860692,0.00006619831,0.00010005154,0.0003300478,0.00006827622,0.0096726455,0.94657564,0.000113087095,0.0341782,0.000033304445],"about_ca_topic_score_codex":0.00043178975,"about_ca_topic_score_gemma":0.0006497936,"teacher_disagreement_score":0.0026035702,"about_ca_system_score_codex":0.00023863612,"about_ca_system_score_gemma":0.0003015944,"threshold_uncertainty_score":0.008709788},"labels":[],"label_agreement":null},{"id":"W3024926216","doi":"10.1109/tpel.2020.2993783","title":"Reconfigurable Hybrid Energy Storage System for an Electric Vehicle DC–AC Inverter","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Energy storage; Modular design; Space vector modulation; Inverter; Controller (irrigation); Electrical engineering; Power electronics; Battery (electricity); Electric vehicle; Converters; Computer science; Capacitor; Engineering; MATLAB; Interface (matter); Power (physics); Electronic engineering; Voltage; Physics","score_opus":0.015358117561058234,"score_gpt":0.23155016251360494,"score_spread":0.2161920449525467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024926216","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44500414,0.0014337848,0.45924506,0.0007076352,0.0006216883,0.0004460463,0.0011319178,0.010246516,0.08116318],"genre_scores_gemma":[0.97661,0.000121481375,0.015864542,0.00008718381,0.000036288897,0.00009114244,0.00017217215,0.000030756135,0.006986409],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999273,0.0000069418224,0.000006113011,0.00002220915,0.000028580549,0.000008876711],"domain_scores_gemma":[0.99995553,0.000006183133,0.0000079299925,0.000009846022,0.000014363155,0.0000061581873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000070916605,0.00026857835,0.00038384245,0.0002616579,0.00043778907,0.000498139,0.0008571036,0.00026479218,0.006718428],"category_scores_gemma":[0.000061355066,0.000106740285,0.00020802388,0.000283432,0.00013427986,0.0003756387,0.00024197684,0.0002954674,0.0012303957],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011439185,0.00045147276,0.0024773702,0.0008263415,0.00019408038,0.0015255439,0.00032193994,0.041015264,0.5610518,0.011536438,0.01361672,0.36583915],"study_design_scores_gemma":[0.00038649293,0.0025485992,0.0064012753,0.00010197586,0.00026351676,0.0020922152,0.0001995671,0.635187,0.27749276,0.0047873454,0.07041673,0.00012255719],"about_ca_topic_score_codex":0.0005313,"about_ca_topic_score_gemma":0.0013164569,"teacher_disagreement_score":0.006718428,"about_ca_system_score_codex":0.0002548635,"about_ca_system_score_gemma":0.00017994408,"threshold_uncertainty_score":0.022475362},"labels":[],"label_agreement":null},{"id":"W3024934670","doi":"10.1149/ma2020-012451mtgabs","title":"Novel Methods for Coating Li<sub>4</sub>Ti<sub>5</sub>O<sub>12</sub> Particles: Boosting Performances of Li-Ion Batteries","year":2020,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Coating; Materials science; Battery (electricity); Electrolyte; Polymer; Degradation (telecommunications); Energy storage; Electrode; Nanotechnology; Chemical engineering; Process engineering; Electrical engineering; Power (physics); Composite material; Chemistry; Engineering; Physics","score_opus":0.042622756595751154,"score_gpt":0.30082500562277054,"score_spread":0.2582022490270194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024934670","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88214064,0.009155396,0.09831938,0.00031788886,0.00024957047,0.00026491348,0.00023007214,0.0005735016,0.008748617],"genre_scores_gemma":[0.91941094,0.004366087,0.064263046,0.00019384363,0.00007330867,0.00019091611,0.00014874504,0.00014191699,0.011211265],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998871,0.000006410982,0.00000967009,0.000029082777,0.000050684946,0.000017078337],"domain_scores_gemma":[0.9999279,0.000012294154,0.000026215,0.0000071733325,0.000017213675,0.000009292477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013635165,0.0005490135,0.0001805833,0.00029392744,0.00012384912,0.00036255913,0.0002673148,0.0005391273,0.0010219704],"category_scores_gemma":[0.00016296093,0.00024180919,0.00023251762,0.00014771982,0.00023759768,0.0005803013,0.00023013516,0.000538987,0.0004956595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013717405,0.000012728165,0.000058267924,0.00009161894,0.0000038561316,0.000031207317,0.000020031759,0.0000794981,0.99513006,0.00015538854,0.000050652445,0.0043528583],"study_design_scores_gemma":[0.000005742858,0.0000628874,0.0004402862,0.0000049347486,0.000009512321,0.00009115033,0.000010366237,0.0007815483,0.99609476,0.0000314735,0.0024610083,0.000006300376],"about_ca_topic_score_codex":0.00024001295,"about_ca_topic_score_gemma":0.00067160156,"teacher_disagreement_score":0.0010219704,"about_ca_system_score_codex":0.00017954646,"about_ca_system_score_gemma":0.000103481034,"threshold_uncertainty_score":0.0034188628},"labels":[],"label_agreement":null},{"id":"W3025006703","doi":"10.1149/ma2020-012254mtgabs","title":"Designs of Experiments to Optimize Li-Ion Batteries","year":2020,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Microstructure; Materials science; Polyvinylidene fluoride; Porosity; Carbon black; Electrode; Rheology; Composite material; Chemical engineering; Carbon nanofiber; Electrochemistry; Polymer; Chemistry; Physical chemistry; Carbon nanotube","score_opus":0.05570950298237854,"score_gpt":0.29492117820467983,"score_spread":0.2392116752223013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025006703","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18565685,0.0029886262,0.60877985,0.00038079155,0.0013088343,0.18732792,0.0033888156,0.0015144134,0.0086538335],"genre_scores_gemma":[0.096373245,0.001258306,0.6042163,0.00036161498,0.00011973285,0.29424942,0.00094698195,0.0001936315,0.0022807957],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.97839534,0.010699246,0.0029302377,0.0027757133,0.0034636958,0.0017357882],"domain_scores_gemma":[0.98100775,0.010366462,0.0030051842,0.0022961874,0.0028119343,0.00051249703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023965348,0.0033770923,0.0036765658,0.0018418245,0.0011936732,0.0027701766,0.0026978399,0.0021798415,0.0065514813],"category_scores_gemma":[0.03187299,0.0017117301,0.0022446432,0.0011694663,0.0015476709,0.0010401589,0.0022711784,0.0035317035,0.0012559928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.03830586,0.021147123,0.00772293,0.019463688,0.0026303967,0.0008416362,0.002259578,0.17419535,0.4464331,0.0326033,0.005825095,0.24857198],"study_design_scores_gemma":[0.01913194,0.20568825,0.021039758,0.0017686612,0.005095641,0.00037365343,0.0010513334,0.18271375,0.38434553,0.042222805,0.13535933,0.0012093806],"about_ca_topic_score_codex":0.0007234187,"about_ca_topic_score_gemma":0.0013183414,"teacher_disagreement_score":0.023965348,"about_ca_system_score_codex":0.002146472,"about_ca_system_score_gemma":0.0033790173,"threshold_uncertainty_score":0.12674236},"labels":[],"label_agreement":null},{"id":"W3025139641","doi":"10.1149/ma2020-012257mtgabs","title":"Ester and Carbonate-Based Low Temperature Electrolytes in High Specific Energy and High Power 18650 Li-Ion Cells for Future NASA Missions","year":2020,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"E-One Moli Energy (Canada)","funders":"","keywords":"Mars Exploration Program; Electrolyte; Materials science; Specific energy; Energy storage; Saturn; Lithium (medication); Work (physics); Range (aeronautics); Environmental science; Astrobiology; Aerospace engineering; Power (physics); Process engineering; Chemical engineering; Mechanical engineering; Planet; Chemistry; Physics; Engineering; Composite material; Electrode; Thermodynamics","score_opus":0.006980252603134115,"score_gpt":0.20724225065860585,"score_spread":0.20026199805547173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025139641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96365553,0.006581318,0.012920813,0.00038077685,0.00031131512,0.00021906802,0.00093741785,0.00054000237,0.014453619],"genre_scores_gemma":[0.95325375,0.0063261925,0.024291975,0.00018442876,0.000039238847,0.00015540252,0.0012054904,0.0002159788,0.014327627],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998241,0.000012562428,0.0000271372,0.000033088312,0.000079261416,0.00002385026],"domain_scores_gemma":[0.99991655,0.00001185844,0.00002136837,0.000011287455,0.000022446327,0.000016510496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003663003,0.000402388,0.00023788965,0.00032503955,0.0001866081,0.00066032476,0.000809344,0.0004049794,0.0020657012],"category_scores_gemma":[0.0004218698,0.00020040518,0.00024288453,0.0005562315,0.00023601066,0.00089781225,0.0003699885,0.0006067008,0.00090222224],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020957143,0.00011180703,0.00064258155,0.00037100655,0.000011408101,0.00019052274,0.00009237122,0.0013651281,0.9789873,0.001190715,0.00092722446,0.015900277],"study_design_scores_gemma":[0.000023555069,0.00036893392,0.000990806,0.000023588429,0.000017370325,0.00016594326,0.000024178114,0.001354133,0.9870013,0.00007141897,0.009941041,0.000017760913],"about_ca_topic_score_codex":0.0015210682,"about_ca_topic_score_gemma":0.004499001,"teacher_disagreement_score":0.0020657012,"about_ca_system_score_codex":0.00056022493,"about_ca_system_score_gemma":0.00030260507,"threshold_uncertainty_score":0.0069104433},"labels":[],"label_agreement":null},{"id":"W3025382890","doi":"10.1149/ma2020-012195mtgabs","title":"(Invited) Power Performance of Lithium-Ion Batteries.","year":2020,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Idle; Battery (electricity); Power (physics); Automotive engineering; Process (computing); Computer science; Lithium (medication); Power consumption; Battery capacity; Lithium-ion battery; Reliability engineering; Simulation; Engineering","score_opus":0.018285573495382824,"score_gpt":0.24036773395374295,"score_spread":0.22208216045836013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025382890","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024050515,0.44137496,0.012978159,0.05529288,0.12443105,0.00022193331,0.0018847976,0.0011088024,0.33865687],"genre_scores_gemma":[0.109058335,0.10503632,0.004548898,0.010089149,0.018887503,0.00018539643,0.0017387407,0.00058420957,0.74987143],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99953294,0.00003435891,0.000013863718,0.00008878226,0.00026481913,0.00006521201],"domain_scores_gemma":[0.99971277,0.00005222853,0.0000126308205,0.000009375747,0.00017773904,0.000035285568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006293905,0.0008106746,0.00041991522,0.0005827478,0.0005188042,0.0011905035,0.00080608745,0.0016740598,0.029525459],"category_scores_gemma":[0.00082196837,0.000277917,0.00042856415,0.00050771545,0.00043149616,0.0015147403,0.0006622829,0.0017374313,0.013534988],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044040923,0.000075409545,0.00036746613,0.0012119157,0.000037660946,0.00030219488,0.00017460091,0.00046496437,0.03787478,0.0063437982,0.80218875,0.15051803],"study_design_scores_gemma":[0.000017381857,0.00022233081,0.0014313767,0.00011700099,0.000030962347,0.00026111765,0.00014561662,0.0007251678,0.026391614,0.0028585314,0.9677679,0.000031138894],"about_ca_topic_score_codex":0.0007079479,"about_ca_topic_score_gemma":0.0013292005,"teacher_disagreement_score":0.029525459,"about_ca_system_score_codex":0.00087147404,"about_ca_system_score_gemma":0.00028227404,"threshold_uncertainty_score":0.098772526},"labels":[],"label_agreement":null},{"id":"W3025588563","doi":"10.1149/ma2020-012325mtgabs","title":"Transbattery, a Novel Class of Device to Study Electronic Properties of Nanostructured Materials for Energetics.","year":2020,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Anode; Materials science; Electrolyte; Electronics; Context (archaeology); Nanotechnology; Energy storage; Battery (electricity); Renewable energy; Engineering physics; Electrode; Electrical engineering; Engineering; Chemistry; Power (physics)","score_opus":0.03095060607959497,"score_gpt":0.2609820129423922,"score_spread":0.23003140686279724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025588563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6639386,0.089909256,0.124061815,0.0029491272,0.007623033,0.0007024307,0.003104786,0.0018138201,0.10589716],"genre_scores_gemma":[0.90438116,0.009642407,0.03543042,0.0013509277,0.00026844215,0.00046365347,0.0010056482,0.00014664776,0.04731061],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979335,0.000022192413,0.000009854437,0.00007567251,0.00007765203,0.000021228154],"domain_scores_gemma":[0.99992454,0.000021317574,0.000012937754,0.000014002422,0.000014734347,0.000012314531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023307363,0.000321024,0.00027729978,0.00039127114,0.00031058947,0.0005540287,0.00073002384,0.0008612555,0.0042415974],"category_scores_gemma":[0.00021589342,0.00016674864,0.00021726955,0.0003351884,0.00032739353,0.00085729925,0.00044024666,0.00071666186,0.0011549795],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013240908,0.0000762095,0.00023337128,0.00058757333,0.000028230372,0.00026254883,0.00011086143,0.000123742,0.9541747,0.0103015825,0.003009718,0.03095904],"study_design_scores_gemma":[0.00006610358,0.00058804004,0.0014997302,0.00003894031,0.000030066156,0.0011888205,0.000100789955,0.0027486808,0.86539406,0.0035164596,0.12478937,0.00003898531],"about_ca_topic_score_codex":0.00011944722,"about_ca_topic_score_gemma":0.00030188062,"teacher_disagreement_score":0.0042415974,"about_ca_system_score_codex":0.00023570706,"about_ca_system_score_gemma":0.00016352207,"threshold_uncertainty_score":0.014189541},"labels":[],"label_agreement":null},{"id":"W3025952003","doi":"10.1109/tie.2020.2992950","title":"Efficiency Upgrade of Hybrid Fuel Cell Vehicles’ Energy Management Strategies by Online Systemic Management of Fuel Cell","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Power management; Energy management; Upgrade; Fuel cells; Computer science; Boosting (machine learning); Automotive engineering; Efficient energy use; Stack (abstract data type); Battery (electricity); Power (physics); Reliability engineering; Embedded system; Engineering; Energy (signal processing); Electrical engineering; Operating system; Artificial intelligence","score_opus":0.0183589238023762,"score_gpt":0.22973994222949806,"score_spread":0.21138101842712187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025952003","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23459981,0.000698062,0.7516285,0.00014679095,0.000071332746,0.00007601482,0.000032420958,0.00075853703,0.011988489],"genre_scores_gemma":[0.99251586,0.00005939126,0.0068432596,0.00001299129,0.0000065150352,0.000009388864,0.000010418625,0.000007954543,0.0005342937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998704,0.000023189586,0.000007127615,0.00003285489,0.000047119847,0.000019317746],"domain_scores_gemma":[0.99991095,0.00002012535,0.000014525179,0.000014709873,0.00003377746,0.0000059245094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025872645,0.00046099332,0.00026165042,0.00020678395,0.00015727092,0.00052233634,0.00039913927,0.00026348315,0.0009113434],"category_scores_gemma":[0.0002882432,0.00011927287,0.00027852578,0.000103919796,0.00017704809,0.00058985635,0.000450424,0.00026419855,0.0001702465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034760364,0.00037797642,0.0040379143,0.0002818073,0.0000882455,0.00026412145,0.00020432264,0.3890867,0.26033303,0.009981998,0.0012618501,0.3337344],"study_design_scores_gemma":[0.000013128976,0.00036788886,0.0018122239,0.000015870603,0.000035065303,0.00006672495,0.00004743779,0.9461352,0.047077674,0.0016747309,0.0027358169,0.000018159019],"about_ca_topic_score_codex":0.0006045371,"about_ca_topic_score_gemma":0.0010224374,"teacher_disagreement_score":0.0009113434,"about_ca_system_score_codex":0.00024438096,"about_ca_system_score_gemma":0.00019059987,"threshold_uncertainty_score":0.0030487776},"labels":[],"label_agreement":null},{"id":"W3027293995","doi":"10.1115/1.4047226","title":"Electro-Thermal Codesign Methodology of an On-Board Electric Vehicle Charger","year":2020,"lang":"en","type":"article","venue":"Journal of Electronic Packaging","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick; University of Toronto","funders":"","keywords":"Electric vehicle; Multiphysics; Electrical engineering; Engineering; Automotive engineering; Computer science; Power (physics); Finite element method","score_opus":0.046403075063687925,"score_gpt":0.3043387601846896,"score_spread":0.2579356851210017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027293995","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33404872,0.0002347775,0.6243006,0.0001960512,0.000102368525,0.00021807275,0.00009347305,0.0015123186,0.039293583],"genre_scores_gemma":[0.9543395,0.000050010454,0.03914628,0.000018432696,0.0000052223977,0.000055052333,0.000030402673,0.00006553807,0.0062894323],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998698,0.000019408624,0.000003537473,0.00001561384,0.000074092,0.000017444845],"domain_scores_gemma":[0.9998919,0.000025187679,0.000016031545,0.000023597297,0.00003754811,0.0000057883285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014688284,0.0002493276,0.00020170069,0.00017510293,0.00023189152,0.0004321758,0.0006370613,0.00028642965,0.0034830503],"category_scores_gemma":[0.0003128648,0.0001327377,0.00022114824,0.000108282984,0.00027502465,0.00024326995,0.0001915593,0.00021509909,0.0004152271],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013299976,0.00009625806,0.0011956197,0.00025810944,0.00003704247,0.00036347474,0.00021137318,0.67853117,0.22367053,0.022998728,0.0013075187,0.071197286],"study_design_scores_gemma":[0.000017619428,0.00017359878,0.0006260317,0.000011409977,0.000013090152,0.000098500066,0.000031162177,0.9479267,0.04515096,0.0010429465,0.004899575,0.000008476822],"about_ca_topic_score_codex":0.0020382262,"about_ca_topic_score_gemma":0.0020605,"teacher_disagreement_score":0.0034830503,"about_ca_system_score_codex":0.00043073852,"about_ca_system_score_gemma":0.0005592603,"threshold_uncertainty_score":0.011651993},"labels":[],"label_agreement":null},{"id":"W3028410222","doi":"10.3390/en13102591","title":"Modeling and Control of a Multifunctional Three-Phase Converter for Bidirectional Power Flow in Plug-In Electric Vehicles","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Controller (irrigation); Rectifier (neural networks); Control theory (sociology); Testbed; Engineering; Power factor; Boost converter; Three-phase; Computer science; Voltage; Electrical engineering; Control (management)","score_opus":0.017867213939655957,"score_gpt":0.2534887887956255,"score_spread":0.23562157485596952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028410222","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036696672,0.0003754855,0.9449006,0.00015937342,0.00009700628,0.000104632236,0.000093919465,0.00039010373,0.017182212],"genre_scores_gemma":[0.97859335,0.00032518266,0.015312037,0.000023907973,0.000018355753,0.00014878069,0.000057569574,0.000019261006,0.005501601],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998697,0.00002571411,0.0000070217725,0.00002861343,0.000053879583,0.000015002283],"domain_scores_gemma":[0.99990225,0.000027636617,0.000019307787,0.000009205851,0.000036005982,0.000005604047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000277609,0.00053343375,0.00043819053,0.00023858697,0.00039691958,0.00093670347,0.00077268394,0.0005727529,0.0018518796],"category_scores_gemma":[0.00027693808,0.00021793306,0.0004364124,0.0001985924,0.0005035498,0.0003948697,0.00045430317,0.0006328953,0.0003412106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008689331,0.000049072765,0.000692039,0.00017079276,0.00002917979,0.00020057187,0.00011790967,0.95156556,0.017145745,0.009584335,0.0005785285,0.019779496],"study_design_scores_gemma":[0.0000060588814,0.000033187287,0.00012468951,0.000004464813,0.0000056598133,0.000014633515,0.000009323031,0.9977151,0.0009852352,0.00040950844,0.00068918464,0.0000030056347],"about_ca_topic_score_codex":0.005503545,"about_ca_topic_score_gemma":0.004569433,"teacher_disagreement_score":0.005503545,"about_ca_system_score_codex":0.00041503896,"about_ca_system_score_gemma":0.00069390493,"threshold_uncertainty_score":0.010942996},"labels":[],"label_agreement":null},{"id":"W3028600342","doi":"10.3390/en13112749","title":"Real Time Design and Implementation of State of Charge Estimators for a Rechargeable Lithium-Ion Cobalt Battery with Applicability in HEVs/EVs—A Comparative Study","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; John Abbott College","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"State of charge; MATLAB; Estimator; Battery (electricity); Computer science; Robustness (evolution); Lithium-ion battery; Co-simulation; Simulation; Automotive engineering; Engineering","score_opus":0.03596419724300341,"score_gpt":0.31800107220071067,"score_spread":0.28203687495770724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028600342","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1991212,0.00088303693,0.7888142,0.00018203547,0.00008770365,0.00030101003,0.000117582844,0.0023327754,0.008160539],"genre_scores_gemma":[0.9724362,0.00016591967,0.025735673,0.000021714935,0.00000819015,0.00009066788,0.00005514563,0.00002899277,0.0014573421],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961275,0.00008140499,0.0000290135,0.0000702332,0.00016132735,0.00004528023],"domain_scores_gemma":[0.99942255,0.00016568073,0.000095106705,0.00007668575,0.00021710242,0.000022916582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062247936,0.00049490033,0.00042677706,0.0004068982,0.00020261067,0.00079521973,0.00086986006,0.0005144111,0.00130675],"category_scores_gemma":[0.001364883,0.00017783193,0.00037874747,0.00017476216,0.00023038499,0.00041187913,0.00032185542,0.00030881053,0.00036199478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095233,0.00027208214,0.0082341675,0.0007942717,0.00016765404,0.00044433033,0.0003993283,0.68960524,0.07894631,0.004857191,0.0010737132,0.21425338],"study_design_scores_gemma":[0.00007354422,0.00064911705,0.0024336483,0.000030909207,0.0000628494,0.00012764338,0.000063518055,0.939761,0.05155935,0.00033599546,0.0048805834,0.000021880274],"about_ca_topic_score_codex":0.0035745336,"about_ca_topic_score_gemma":0.0016468993,"teacher_disagreement_score":0.0035745336,"about_ca_system_score_codex":0.0004398398,"about_ca_system_score_gemma":0.0006454176,"threshold_uncertainty_score":0.0071074367},"labels":[],"label_agreement":null},{"id":"W3029498025","doi":"10.1016/j.etran.2020.100066","title":"Comparison of common DC and AC bus architectures for EV fast charging stations and impact on power quality","year":2020,"lang":"en","type":"article","venue":"eTransportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Harmonics; Transformer; Electrical engineering; Distribution transformer; Converters; AC power; Voltage; Engineering; Electronic engineering; Grid; Computer science","score_opus":0.04549840443829609,"score_gpt":0.3861737777564354,"score_spread":0.3406753733181393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3029498025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91428024,0.0011105257,0.045339756,0.00020892124,0.00016162684,0.00016069958,0.00094898284,0.0011991189,0.036589988],"genre_scores_gemma":[0.993273,0.0001710765,0.0027100304,0.000019037567,0.000012559851,0.000014703993,0.00035284905,0.000050948038,0.0033958105],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993333,0.000190372,0.000038983362,0.00006695463,0.0002192276,0.00015121157],"domain_scores_gemma":[0.99722797,0.00073821394,0.00014238046,0.00037261104,0.0013891348,0.00012967968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010229299,0.00055151165,0.00037215257,0.0013674241,0.00066386245,0.0015627815,0.00077509624,0.00038292125,0.012471885],"category_scores_gemma":[0.0026144236,0.00017621474,0.00035216974,0.0017334148,0.00033014643,0.0015782687,0.0005470145,0.00042887373,0.0008806197],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0115929535,0.00061883527,0.027578562,0.001129471,0.0003823636,0.0004251984,0.00054434396,0.37019226,0.061720047,0.037306897,0.013257902,0.4752513],"study_design_scores_gemma":[0.00096834666,0.008132955,0.08151854,0.00028763697,0.0011071255,0.0009550566,0.00290628,0.6838497,0.13712059,0.021932524,0.0610503,0.00017101041],"about_ca_topic_score_codex":0.0071033635,"about_ca_topic_score_gemma":0.0142114265,"teacher_disagreement_score":0.012471885,"about_ca_system_score_codex":0.0014691113,"about_ca_system_score_gemma":0.0007365854,"threshold_uncertainty_score":0.041722596},"labels":[],"label_agreement":null},{"id":"W3030239944","doi":"10.1016/j.apenergy.2020.115169","title":"Suitability of energy sources for automotive application – A review","year":2020,"lang":"en","type":"review","venue":"Applied Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":124,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Renewable energy; Fossil fuel; Carbon footprint; Renewable fuels; Environmental science; Energy source; Energy storage; Automotive industry; Waste management; Engineering; Automotive engineering; Process engineering; Greenhouse gas; Electrical engineering","score_opus":0.026912645826907666,"score_gpt":0.30356677722814734,"score_spread":0.2766541314012397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3030239944","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002246045,0.99745923,0.00013781997,0.0001650427,0.00019036849,0.000008051947,0.00006923839,0.0000054001994,0.001740249],"genre_scores_gemma":[0.00074042776,0.9983139,0.0001670057,0.00011336546,0.000098872515,0.0000062373183,0.000047439822,0.000001526784,0.0005113367],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997454,0.000029736968,0.000042369757,0.000050311974,0.00011248919,0.000019599418],"domain_scores_gemma":[0.99951816,0.000256492,0.0000851103,0.000013509265,0.00010834114,0.000018421444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064413546,0.0009182246,0.0013006025,0.003025094,0.00022092758,0.0012465923,0.0008080481,0.0009796843,0.006285808],"category_scores_gemma":[0.001053094,0.0003632559,0.0006704566,0.003691136,0.00031499664,0.0017540116,0.0006860678,0.00090174226,0.0021463477],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102987644,0.00007933996,0.0002594235,0.060598493,0.00014865777,0.00017121178,0.000046894,0.00048737196,0.0042132293,0.004828921,0.021815548,0.9072479],"study_design_scores_gemma":[0.000015709993,0.000115829775,0.0008479175,0.008649307,0.0002508192,0.00048863015,0.00007462097,0.00010936861,0.0009624052,0.0019884622,0.9864748,0.000022103906],"about_ca_topic_score_codex":0.0009954609,"about_ca_topic_score_gemma":0.002432405,"teacher_disagreement_score":0.006285808,"about_ca_system_score_codex":0.00042216547,"about_ca_system_score_gemma":0.0012082125,"threshold_uncertainty_score":0.021028161},"labels":[],"label_agreement":null},{"id":"W3033326462","doi":"10.3390/batteries6020032","title":"Unification of Internal Resistance Estimation Methods for Li-Ion Batteries Using Hysteresis-Free Equivalent Circuit Models","year":2020,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"National Science Foundation","keywords":"Internal resistance; Equivalent circuit; Control theory (sociology); Nyquist plot; Dielectric spectroscopy; Hysteresis; Output impedance; Bode plot; Phasor; Estimation theory; Materials science; Electrical impedance; Biological system; Computer science; Battery (electricity); Voltage; Algorithm; Physics; Electrical engineering; Electrochemistry; Electric power system; Power (physics); Electrode; Engineering; Thermodynamics","score_opus":0.11971691953466082,"score_gpt":0.3600006259496288,"score_spread":0.24028370641496796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033326462","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030054399,0.00032904674,0.99570847,0.000030151761,0.000017826409,0.000019787722,0.000009962226,0.00027803145,0.00060129067],"genre_scores_gemma":[0.48756632,0.0019462652,0.5055311,0.00010255926,0.00012167,0.00024016992,0.0002470189,0.00022700695,0.0040179123],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989862,0.00023652594,0.00010836405,0.00020706657,0.00042663925,0.000035137775],"domain_scores_gemma":[0.9989348,0.0004217315,0.000089210385,0.00021778262,0.00032035154,0.000016094658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001034691,0.0008735986,0.00075541105,0.0008338793,0.00021321503,0.000992147,0.0010847698,0.00083146873,0.00094074704],"category_scores_gemma":[0.0030722383,0.00032921767,0.0008177002,0.00044664307,0.0004030387,0.0026115358,0.0006852797,0.00094363367,0.0005125407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016439582,0.0001695606,0.0014455991,0.0006533722,0.00013345174,0.00017339665,0.0003688027,0.119467944,0.112282194,0.030703148,0.0011485037,0.73328966],"study_design_scores_gemma":[0.000014392041,0.000088028355,0.0008041772,0.00004781539,0.00005226183,0.00016230113,0.00005023374,0.94149303,0.04217886,0.008346683,0.006706761,0.000055376233],"about_ca_topic_score_codex":0.000572279,"about_ca_topic_score_gemma":0.000608082,"teacher_disagreement_score":0.0010847698,"about_ca_system_score_codex":0.0002799098,"about_ca_system_score_gemma":0.00033553675,"threshold_uncertainty_score":0.005472064},"labels":[],"label_agreement":null},{"id":"W3033549246","doi":"10.3390/en13112825","title":"Battery Management Systems—Challenges and Some Solutions","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":153,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); State of health; Automotive engineering; State of charge; Automotive battery; Reliability (semiconductor); Battery pack; Voltage; Computer science; Trickle charging; Reliability engineering; Engineering; Power (physics); Electrical engineering","score_opus":0.04486042404347749,"score_gpt":0.23657076039400218,"score_spread":0.1917103363505247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033549246","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008361766,0.6168156,0.23797473,0.06982682,0.005375678,0.00023152916,0.00019219253,0.00085259427,0.06036906],"genre_scores_gemma":[0.19085084,0.5634751,0.16444176,0.009238309,0.012994614,0.00047116904,0.0007470361,0.00020665409,0.057574596],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992526,0.00015567051,0.00006674159,0.00014826939,0.0003002056,0.00007652946],"domain_scores_gemma":[0.99892277,0.00027472168,0.00006815712,0.00009152747,0.0005476492,0.000095152194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015000713,0.0007910866,0.0006930081,0.00092095876,0.00086093723,0.0034856945,0.0020759788,0.0035794417,0.005810317],"category_scores_gemma":[0.0017220393,0.00040280458,0.000599785,0.001243236,0.0009567518,0.0053526205,0.0021000337,0.0025980982,0.0023826156],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009769566,0.00031031837,0.0010481069,0.0023062709,0.00008984418,0.0003179177,0.0002974256,0.022718675,0.0033411533,0.16198577,0.059592944,0.7478938],"study_design_scores_gemma":[0.0000510765,0.00044331132,0.001329236,0.002513913,0.00006881319,0.0012424985,0.0016471602,0.11274772,0.0022939895,0.2198475,0.6576818,0.0001330123],"about_ca_topic_score_codex":0.0010691126,"about_ca_topic_score_gemma":0.00090508815,"teacher_disagreement_score":0.005810317,"about_ca_system_score_codex":0.000763421,"about_ca_system_score_gemma":0.0011047771,"threshold_uncertainty_score":0.019437432},"labels":[],"label_agreement":null},{"id":"W3033748806","doi":"10.1109/jestie.2020.2999590","title":"Soft-Switching Power Electronics Technology for Electric Vehicles: A Technology Review","year":2020,"lang":"en","type":"review","venue":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Converters; Power electronics; Electrical engineering; Electronics; Power (physics); Engineering; Computer science; Telecommunications; Systems engineering; Voltage; Physics","score_opus":0.0373348261871886,"score_gpt":0.32697063870767895,"score_spread":0.28963581252049037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033748806","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00025403698,0.9965868,0.00038526868,0.00025096317,0.00032922553,0.000010116585,0.000022572884,0.000012226893,0.0021488222],"genre_scores_gemma":[0.0009660505,0.99742055,0.00032708113,0.00014153938,0.00017325436,0.000008043092,0.000030702075,0.0000020154573,0.0009307896],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998078,0.000020042238,0.00002746423,0.00003443689,0.00009370707,0.000016707138],"domain_scores_gemma":[0.99958843,0.00017209908,0.00005547017,0.000011923268,0.00014696499,0.000025127427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004824867,0.00071623345,0.00079100556,0.0018670096,0.00021956177,0.00085282547,0.00065676676,0.0008423409,0.0046991664],"category_scores_gemma":[0.0006390528,0.00031338033,0.0004683917,0.0021446927,0.0002562477,0.0015466139,0.0004783857,0.0011936363,0.0031952807],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003830173,0.000077622826,0.00014599194,0.017711233,0.00005839363,0.00014332628,0.00004905303,0.0003812507,0.004639878,0.0049927006,0.022443587,0.9493187],"study_design_scores_gemma":[0.000008589531,0.00012322402,0.0005160292,0.00314244,0.00010254596,0.0007892386,0.000045743935,0.00013934312,0.001215043,0.0015129519,0.99238575,0.000019126499],"about_ca_topic_score_codex":0.0005167651,"about_ca_topic_score_gemma":0.00089974725,"teacher_disagreement_score":0.0046991664,"about_ca_system_score_codex":0.00028920913,"about_ca_system_score_gemma":0.0008900202,"threshold_uncertainty_score":0.015720308},"labels":[],"label_agreement":null},{"id":"W3033759377","doi":"10.1109/eeeic/icpseurope49358.2020.9160687","title":"Optimizing Charging Infrastructures of Electric Bus Routes to Minimize Total Ownership Cost","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Electrification; Computer science; Scope (computer science); Linear programming; Integer programming; Public transport; Total cost of ownership; Electric vehicle; Function (biology); Work (physics); Distributed computing; Mathematical optimization; Operations research; Electricity; Transport engineering; Engineering; Power (physics); Electrical engineering","score_opus":0.022048543044048272,"score_gpt":0.2525930370372703,"score_spread":0.23054449399322205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033759377","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36408988,0.0009157842,0.6000479,0.0004322763,0.00008165429,0.00028571446,0.0004462314,0.0003891754,0.033311456],"genre_scores_gemma":[0.9721029,0.00025847493,0.0244044,0.000023893115,0.000007116258,0.00007214051,0.00012127274,0.000042754837,0.0029672561],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996884,0.00012770243,0.000007809699,0.00004607167,0.00004098856,0.00008896661],"domain_scores_gemma":[0.9997539,0.00009553081,0.000053154778,0.000020236037,0.000046118254,0.000031052135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005342807,0.0011327405,0.0007495068,0.0006016613,0.00036062923,0.0014335908,0.0008453486,0.00087664893,0.0029082017],"category_scores_gemma":[0.0012341011,0.00051068317,0.0005503789,0.00077515456,0.00044300492,0.0011056209,0.0007011848,0.0005750136,0.00028257832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024591965,0.000017794639,0.00030484557,0.000043423486,0.000011475778,0.000042613905,0.000014253357,0.9913344,0.0007281594,0.0029886651,0.00026897909,0.0042208475],"study_design_scores_gemma":[0.000006604999,0.000041893196,0.00020087592,0.000008849945,0.000017551323,0.000019693474,0.000054171032,0.9963295,0.00052480114,0.002165735,0.00062605046,0.000004367299],"about_ca_topic_score_codex":0.006100649,"about_ca_topic_score_gemma":0.006975122,"teacher_disagreement_score":0.006100649,"about_ca_system_score_codex":0.0015068193,"about_ca_system_score_gemma":0.001496265,"threshold_uncertainty_score":0.0121302605},"labels":[],"label_agreement":null},{"id":"W3034026285","doi":"10.1073/pnas.1821672117","title":"Energy storage emerging: A perspective from the Joint Center for Energy Storage Research","year":2020,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":342,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"U.S. Department of Energy","keywords":"Energy storage; Renewable energy; Electrochemical energy storage; Computer science; Battery (electricity); Efficient energy use; Smart grid; Systems engineering; Engineering; Electrical engineering; Power (physics); Supercapacitor","score_opus":0.10803374415045708,"score_gpt":0.3527087431715726,"score_spread":0.2446749990211155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034026285","genre_codex":"review","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00092600036,0.58947164,0.0014189825,0.33925,0.01970129,0.000020505966,0.00015670595,0.000060395767,0.04899453],"genre_scores_gemma":[0.031085772,0.82686603,0.004013157,0.09033376,0.018956136,0.00010647201,0.00024277737,0.000121693345,0.028274233],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99705684,0.00076483196,0.00021160797,0.00036216705,0.0011330518,0.00047157466],"domain_scores_gemma":[0.99713194,0.0006045981,0.00017179079,0.00016405154,0.0013547018,0.000572902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007298134,0.0014357426,0.0014808916,0.002563687,0.0033212674,0.0085607665,0.0025722487,0.0114766825,0.0075265607],"category_scores_gemma":[0.004173513,0.00048447945,0.0008175304,0.0044261124,0.0051740767,0.013848454,0.0048957765,0.010730941,0.0026045786],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008836261,0.00014570839,0.00024210004,0.0009522407,0.00002199473,0.0001992956,0.00040718753,0.00049395004,0.0006941295,0.5573057,0.35245967,0.086989656],"study_design_scores_gemma":[0.000015074419,0.000060403927,0.0001493907,0.00084789254,0.0000122679285,0.00013910807,0.00040735866,0.00023675813,0.00021268084,0.05947859,0.9384149,0.00002567561],"about_ca_topic_score_codex":0.006025375,"about_ca_topic_score_gemma":0.0073035522,"teacher_disagreement_score":0.0114766825,"about_ca_system_score_codex":0.006296692,"about_ca_system_score_gemma":0.0141490465,"threshold_uncertainty_score":0.045685947},"labels":[],"label_agreement":null},{"id":"W3035035830","doi":"10.1049/iet-est.2020.0013","title":"Effect of battery voltage variation on electric vehicle performance driven by induction machine with optimal flux‐weakening strategy","year":2020,"lang":"en","type":"article","venue":"IET Electrical Systems in Transportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Battery (electricity); Voltage; Internal resistance; Automotive engineering; Electric vehicle; Driving cycle; State of charge; Materials science; Control theory (sociology); Traction (geology); Thermal; Traction motor; Lithium-ion battery; Mechanics; Electrical engineering; Engineering; Computer science; Thermodynamics; Mechanical engineering; Physics; Power (physics)","score_opus":0.007001787273870461,"score_gpt":0.2203721627505758,"score_spread":0.21337037547670534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035035830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963169,0.00008864534,0.0026657593,0.00002097019,0.000008402049,0.000003512467,0.000022327333,0.000040766343,0.0008325983],"genre_scores_gemma":[0.9998004,0.00001422903,0.000112027854,0.0000022127003,4.8215986e-7,0.0000012226593,0.000008151463,0.0000024828523,0.000058826474],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999032,0.00001236204,0.0000060824273,0.0000166647,0.000023232362,0.00003846618],"domain_scores_gemma":[0.99985325,0.00005596624,0.000026055824,0.000014848881,0.000036932066,0.000012915518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012559678,0.00034105405,0.00022807789,0.00020585583,0.00013924026,0.00027794324,0.00024863964,0.00023961168,0.0006617284],"category_scores_gemma":[0.0004074529,0.000099210236,0.00014718779,0.00013641226,0.00018363954,0.0002719541,0.00015079485,0.00015305076,0.000110954614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027822584,0.00033815257,0.013493301,0.00037078492,0.00011168148,0.0007774253,0.00025138378,0.33339193,0.5867946,0.00089331,0.00063880114,0.060156416],"study_design_scores_gemma":[0.0000606146,0.0026364545,0.0253647,0.000029769399,0.000107214764,0.0002392309,0.00034463673,0.65548337,0.31405917,0.00046886373,0.0011555125,0.000050515006],"about_ca_topic_score_codex":0.00075780076,"about_ca_topic_score_gemma":0.0010199749,"teacher_disagreement_score":0.00075780076,"about_ca_system_score_codex":0.00016815352,"about_ca_system_score_gemma":0.000121727,"threshold_uncertainty_score":0.0022137165},"labels":[],"label_agreement":null},{"id":"W3035212369","doi":"10.2514/6.2020-2652","title":"Lessons Learned from the Design, Manufacturing, and Test of an All-Electric General Aviation Aircraft","year":2020,"lang":"en","type":"article","venue":"AIAA AVIATION 2020 FORUM","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Aviation; Multidisciplinary approach; General aviation; Engineering; Point (geometry); Systems engineering; Test (biology); Aeronautics; Computer science; Aerospace engineering","score_opus":0.04465611417250725,"score_gpt":0.28271626724042925,"score_spread":0.238060153067922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035212369","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18736772,0.06102922,0.24705237,0.25466174,0.0068619475,0.0003131329,0.0002953002,0.0013324225,0.24108607],"genre_scores_gemma":[0.65829426,0.04789915,0.14039847,0.01953257,0.0013408916,0.00016828768,0.00021833902,0.00055209594,0.13159597],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99715024,0.00109837,0.00009829798,0.00022831131,0.0012440839,0.0001807504],"domain_scores_gemma":[0.9963696,0.0015250521,0.000118051845,0.00049118284,0.0011055917,0.0003905768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006087297,0.0006691572,0.00038899117,0.0003505161,0.0016192294,0.0036003958,0.0014411104,0.0018225462,0.0036052933],"category_scores_gemma":[0.0060146693,0.00028004646,0.00034140845,0.00032690357,0.003843845,0.0053000995,0.0022619166,0.0038913388,0.0014027322],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001474873,0.00032408437,0.0036555552,0.0015597875,0.00004332832,0.0017571808,0.0169082,0.017294988,0.0140097095,0.08634923,0.0675735,0.79037684],"study_design_scores_gemma":[0.000046750654,0.0010376851,0.002653739,0.00143948,0.000039908482,0.002886081,0.02358148,0.004774833,0.01454792,0.13200642,0.81685364,0.00013206092],"about_ca_topic_score_codex":0.0027798142,"about_ca_topic_score_gemma":0.006531503,"teacher_disagreement_score":0.006087297,"about_ca_system_score_codex":0.0018007451,"about_ca_system_score_gemma":0.0024642,"threshold_uncertainty_score":0.032193124},"labels":[],"label_agreement":null},{"id":"W3035930691","doi":"10.1109/tii.2020.3003554","title":"Optimal Cost Minimization Strategy for Fuel Cell Hybrid Electric Vehicles Based on Decision-Making Framework","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Carleton University","funders":"","keywords":"Prognostics; Minification; Battery (electricity); Computer science; Automotive engineering; Fuel cells; Operating cost; Optimal decision; Power (physics); Operations research; Reliability engineering; Engineering; Artificial intelligence; Decision tree","score_opus":0.05163547890705724,"score_gpt":0.29296280282420617,"score_spread":0.24132732391714892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035930691","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042344104,0.0007828414,0.9456736,0.0005687151,0.000087383785,0.00018159518,0.00008497634,0.0001112479,0.010165449],"genre_scores_gemma":[0.9513442,0.00041898675,0.045113757,0.00013971601,0.000052500138,0.00027218007,0.00009276326,0.000028215643,0.0025376007],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985097,0.0005141585,0.00006432509,0.0002554554,0.0003456484,0.00031076986],"domain_scores_gemma":[0.99878997,0.00069294125,0.00011303511,0.000027467871,0.00029348,0.000083174236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023499967,0.0017508551,0.002013264,0.0009522136,0.00085608504,0.002551627,0.0016295912,0.0015927956,0.002398551],"category_scores_gemma":[0.002774664,0.00071184605,0.0010883517,0.0008205633,0.00095445383,0.0014383654,0.0014323571,0.0016412282,0.00019927222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004876068,0.00004625325,0.00026762526,0.00005992852,0.000038071023,0.000103168495,0.00004680235,0.9808657,0.0005304168,0.0095165,0.0003861662,0.008090509],"study_design_scores_gemma":[0.000007889931,0.00002227006,0.00005592987,0.0000056834674,0.000010361697,0.0000060989823,0.000010425938,0.99667966,0.00016152806,0.0029104487,0.00012451902,0.000005083804],"about_ca_topic_score_codex":0.012178978,"about_ca_topic_score_gemma":0.006029183,"teacher_disagreement_score":0.012178978,"about_ca_system_score_codex":0.0023355791,"about_ca_system_score_gemma":0.002702866,"threshold_uncertainty_score":0.024216175},"labels":[],"label_agreement":null},{"id":"W3036469720","doi":"10.3390/en13123257","title":"Assessing and Mitigating Impacts of Electric Vehicle Harmonic Currents on Distribution Systems","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Distribution transformer; Photovoltaic system; Transformer; Electrical engineering; Interfacing; Voltage; Electric vehicle; Engineering; Power quality; Electronic engineering; State of charge; Automotive engineering; Computer science; Power (physics); Battery (electricity); Physics","score_opus":0.026418209888058847,"score_gpt":0.2854000511055599,"score_spread":0.258981841217501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036469720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6174702,0.00030779222,0.37731114,0.000089589055,0.000026196218,0.000118561205,0.000052533305,0.00025559886,0.004368325],"genre_scores_gemma":[0.97227377,0.00012144603,0.027086977,0.000008722301,0.000008042398,0.000009701632,0.000029988674,0.00001300993,0.0004483797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9997391,0.000071664304,0.000011035491,0.000028696697,0.00012414453,0.000025311805],"domain_scores_gemma":[0.99942505,0.00023333078,0.000112487476,0.000036430876,0.00017504123,0.000017730052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006210192,0.00058504957,0.00024288129,0.000687821,0.00015536456,0.00056774117,0.00023088572,0.0002731135,0.00035117168],"category_scores_gemma":[0.0016440941,0.00017258571,0.0001760708,0.00025947273,0.00018594986,0.0006657518,0.00034930618,0.00027152122,0.000061153245],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021004965,0.00014221104,0.02046855,0.00016188403,0.00008779485,0.00010627838,0.00010419872,0.68654364,0.055322748,0.001985535,0.0004003721,0.23446667],"study_design_scores_gemma":[0.000020724485,0.00043257454,0.021011028,0.000018128061,0.0000752633,0.000059666458,0.00012349956,0.9389853,0.036946554,0.0013415944,0.0009657757,0.00001992374],"about_ca_topic_score_codex":0.002467369,"about_ca_topic_score_gemma":0.0039055527,"teacher_disagreement_score":0.002467369,"about_ca_system_score_codex":0.00036375094,"about_ca_system_score_gemma":0.00055134343,"threshold_uncertainty_score":0.0049060583},"labels":[],"label_agreement":null},{"id":"W3036507558","doi":"10.1109/tvt.2020.3004010","title":"Sizing of a Battery Pack Based on Series/Parallel Configurations for a High-Power Electric Vehicle as a Constrained Optimization Problem","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"European Regional Development Fund; Fundação para a Ciência e a Tecnologia; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Battery pack; Sizing; Battery (electricity); Electric vehicle; Electric-vehicle battery; Mathematical optimization; Series (stratigraphy); Exploit; Computer science; Constraint (computer-aided design); Power (physics); Pareto principle; Engineering; Automotive engineering; Mathematics","score_opus":0.010638798505553451,"score_gpt":0.22945452524792626,"score_spread":0.21881572674237282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036507558","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09439687,0.00033112866,0.8813319,0.00016554608,0.00004357399,0.00022278848,0.00019689312,0.0004615455,0.022849709],"genre_scores_gemma":[0.7650871,0.00033738842,0.22525,0.00007447789,0.000022235316,0.00035460677,0.0002916183,0.00017154281,0.0084109865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973196,0.00008112468,0.00001213599,0.000042259388,0.000103201965,0.000029282524],"domain_scores_gemma":[0.99975926,0.0001137523,0.000035523906,0.000023995954,0.000053563486,0.000014003819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003687418,0.00097289286,0.00062586635,0.00062277634,0.00034877632,0.0009800633,0.000661212,0.00066457427,0.004266287],"category_scores_gemma":[0.0007201954,0.00053760037,0.00079361186,0.00075931265,0.00042506043,0.00088454183,0.0005448813,0.00053462613,0.00055278704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003372451,0.000028734687,0.00036287602,0.00011009774,0.000029548763,0.000114567534,0.00003093413,0.96328914,0.005208352,0.003158667,0.00066767057,0.026965592],"study_design_scores_gemma":[0.000012163075,0.0001224581,0.0002659764,0.000014066932,0.000031100848,0.00007931086,0.00004605178,0.9909116,0.0030346522,0.0037079637,0.0017658311,0.000008907662],"about_ca_topic_score_codex":0.0021682954,"about_ca_topic_score_gemma":0.0038176263,"teacher_disagreement_score":0.004266287,"about_ca_system_score_codex":0.0005766621,"about_ca_system_score_gemma":0.00085847516,"threshold_uncertainty_score":0.014272153},"labels":[],"label_agreement":null},{"id":"W3037846350","doi":"10.1109/apec39645.2020.9124195","title":"V2X Operation of Integrated Single-Phase Bidirectional Electric Vehicle Charger","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Backup; Inverter; Automotive engineering; Electrical engineering; Computer science; Power (physics); Battery (electricity); Battery charger; Engineering; Voltage; Physics","score_opus":0.03211828705644391,"score_gpt":0.27521165503354067,"score_spread":0.24309336797709677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037846350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9391665,0.00021594841,0.043926045,0.00010085561,0.00007833031,0.00012654567,0.00038941155,0.0018045428,0.014191867],"genre_scores_gemma":[0.98538744,0.00007980891,0.0071197245,0.00002432542,0.00000760368,0.00004240843,0.00016956401,0.000050282884,0.007118706],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997154,0.00002078365,0.000012878625,0.00006821856,0.00013813697,0.000044557684],"domain_scores_gemma":[0.99987066,0.000015932077,0.000023375125,0.000026112895,0.00005230836,0.000011569044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016851194,0.00041013185,0.00036328207,0.00018221696,0.00018744374,0.00058577297,0.00075689435,0.00034143825,0.0027993664],"category_scores_gemma":[0.0001808761,0.00013608058,0.00017477598,0.00015686055,0.0001473813,0.00044644877,0.00028002376,0.00028556449,0.00095419015],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055787526,0.00018967477,0.0016104677,0.00022110547,0.000033922497,0.00030388,0.00025195637,0.002516411,0.9377834,0.0009670071,0.0014477761,0.054116562],"study_design_scores_gemma":[0.0001042404,0.0015069828,0.0067218095,0.00001929626,0.000032770742,0.0006994777,0.0001430719,0.03771812,0.9407123,0.00021358594,0.01210116,0.000027155285],"about_ca_topic_score_codex":0.0006456157,"about_ca_topic_score_gemma":0.0007557545,"teacher_disagreement_score":0.0027993664,"about_ca_system_score_codex":0.00020756066,"about_ca_system_score_gemma":0.00022388506,"threshold_uncertainty_score":0.009364784},"labels":[],"label_agreement":null},{"id":"W3040416171","doi":"10.1016/j.ijheatmasstransfer.2020.119995","title":"Numerical Study of Flow and Heat Transfer Performance of 3D-Printed Polymer-Based Battery Thermal Management","year":2020,"lang":"en","type":"article","venue":"International Journal of Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Coolant; Battery (electricity); Materials science; Battery pack; Heat transfer; Heat transfer coefficient; Thermal; Mechanical engineering; Nuclear engineering; Thermodynamics; Power (physics); Physics; Engineering","score_opus":0.01472762485569583,"score_gpt":0.24822569540646441,"score_spread":0.23349807055076857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040416171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9723804,0.0002567991,0.01525501,0.00017241662,0.00006239058,0.000030415351,0.00017999315,0.00017363772,0.0114889955],"genre_scores_gemma":[0.9970372,0.00005686794,0.001647907,0.000010497373,0.000004160752,0.000015227847,0.000028475884,0.000006327832,0.001193483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999356,0.000010273876,0.00000347324,0.000013164495,0.000022421575,0.000015065011],"domain_scores_gemma":[0.9997557,0.00014623566,0.000025520776,0.00001959078,0.000039495473,0.000013491255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001371102,0.00019619873,0.00033157563,0.00028525782,0.00039878557,0.00051718694,0.0004001416,0.0007771401,0.0025028787],"category_scores_gemma":[0.0004877053,0.00017479232,0.00040339038,0.00031932897,0.00045065998,0.0004946888,0.00022163692,0.00029873525,0.00016821655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016280472,0.00014406693,0.0016351216,0.00012973092,0.000016522295,0.0001768085,0.000069682435,0.95384413,0.033327237,0.0015095904,0.00037018015,0.008614066],"study_design_scores_gemma":[0.000012300627,0.00007390271,0.0007454413,0.000004686371,0.0000059766307,0.000016461672,0.000025256413,0.9916893,0.0070868162,0.0001620922,0.00017051373,0.000007128996],"about_ca_topic_score_codex":0.0025255699,"about_ca_topic_score_gemma":0.0015085685,"teacher_disagreement_score":0.0025255699,"about_ca_system_score_codex":0.00038015572,"about_ca_system_score_gemma":0.0003127398,"threshold_uncertainty_score":0.008373022},"labels":[],"label_agreement":null},{"id":"W3040694753","doi":"10.1109/tii.2020.3008223","title":"A Data-Driven Auto-CNN-LSTM Prediction Model for Lithium-Ion Battery Remaining Useful Life","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":663,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; St. Francis Xavier University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Big data; Autoencoder; Process (computing); Deep learning; Data modeling; Convolutional neural network; Battery (electricity); Artificial intelligence; SPARK (programming language); Convolution (computer science); Artificial neural network; Key (lock); Data mining; Machine learning","score_opus":0.1702212134600097,"score_gpt":0.30224007192376334,"score_spread":0.13201885846375364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040694753","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23764886,0.0043486347,0.73851043,0.0013818423,0.0005921493,0.0001306942,0.001283598,0.004193355,0.011910374],"genre_scores_gemma":[0.97149897,0.0006415776,0.020758558,0.00015574614,0.000056419834,0.00011231729,0.0005922062,0.000048023016,0.006136198],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998946,0.000007688725,0.000008710691,0.00004415443,0.000023020237,0.000021831362],"domain_scores_gemma":[0.9998697,0.000034960252,0.000014917425,0.0000067043707,0.000066548266,0.0000071929867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028521405,0.0007658464,0.00055862154,0.00036405903,0.0002985579,0.0005230311,0.0012017803,0.0007513482,0.0019991773],"category_scores_gemma":[0.0005291891,0.00033327402,0.0006097566,0.00040850436,0.0002054043,0.0006737811,0.0003968089,0.0009334414,0.00036462775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017412126,0.000094638475,0.002698618,0.00014013925,0.000072655865,0.00020652954,0.000054388925,0.8774343,0.006866205,0.0014539729,0.0032070652,0.107597366],"study_design_scores_gemma":[0.0000018700044,0.000009099592,0.00012718097,0.0000023907505,0.0000057235666,0.000006271713,0.0000014647014,0.9992162,0.0003917558,0.00014532132,0.00009048747,0.000002245397],"about_ca_topic_score_codex":0.030962529,"about_ca_topic_score_gemma":0.026609262,"teacher_disagreement_score":0.030962529,"about_ca_system_score_codex":0.0008315615,"about_ca_system_score_gemma":0.0010405945,"threshold_uncertainty_score":0.061564624},"labels":[],"label_agreement":null},{"id":"W3044656340","doi":"10.3390/app10144988","title":"Smart Power Electronics–Based Solutions to Interface Solar-Photovoltaics (PV), Smart Grid, and Electrified Transportation: State-of-the-Art and Future Prospects","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrification; Photovoltaic system; Photovoltaics; Electrical engineering; Power electronics; Engineering; Converters; Smart grid; Greenhouse gas; Automotive engineering; Electricity; Voltage","score_opus":0.01241423938738575,"score_gpt":0.23413910179091776,"score_spread":0.221724862403532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044656340","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01806402,0.795421,0.11484216,0.0040490995,0.0013158855,0.00012461042,0.00014253883,0.0005123466,0.065528266],"genre_scores_gemma":[0.12423236,0.7864835,0.060480576,0.0015949933,0.001322253,0.000076527445,0.00035835843,0.00006858397,0.025382897],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998405,0.000023232344,0.000011085788,0.000028400922,0.00008103203,0.000015654936],"domain_scores_gemma":[0.9998197,0.00007628949,0.000018225282,0.000012053473,0.00006322348,0.00001052424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036183334,0.0004244213,0.00034024587,0.00070294476,0.00016407449,0.0010922586,0.0004774516,0.00079016713,0.004765266],"category_scores_gemma":[0.00030042182,0.00020067803,0.00031000137,0.0011526077,0.0003086831,0.0024864103,0.0005138595,0.00091347063,0.0015544705],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007029799,0.00019697027,0.00062604726,0.0027611281,0.000047983747,0.0001531822,0.000080701946,0.003477372,0.026718872,0.031387784,0.008955176,0.9255244],"study_design_scores_gemma":[0.000026637019,0.0009429146,0.0016201547,0.0015856272,0.00012192509,0.0017071266,0.0004024794,0.01889103,0.031241827,0.03351684,0.9098744,0.00006909176],"about_ca_topic_score_codex":0.00016167956,"about_ca_topic_score_gemma":0.00034637906,"teacher_disagreement_score":0.004765266,"about_ca_system_score_codex":0.0002047428,"about_ca_system_score_gemma":0.00023595802,"threshold_uncertainty_score":0.015941441},"labels":[],"label_agreement":null},{"id":"W3046489877","doi":"10.1049/iet-its.2020.0009","title":"Predictive model for battery life in IoT networks","year":2020,"lang":"en","type":"article","venue":"IET Intelligent Transport Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"","keywords":"Internet of Things; Battery (electricity); Computer science; Embedded system; Real-time computing","score_opus":0.049131989216762456,"score_gpt":0.2603923505725292,"score_spread":0.21126036135576673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046489877","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19511873,0.0017573434,0.7922989,0.00083352963,0.00019942662,0.000106197156,0.0010284558,0.0012051413,0.007452341],"genre_scores_gemma":[0.98494995,0.00050932396,0.010043259,0.00006438093,0.00003851957,0.00011528283,0.0004941499,0.000032626915,0.0037525285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997414,0.000066008186,0.000015164403,0.000071474584,0.000057279707,0.00004862156],"domain_scores_gemma":[0.99938524,0.00036533698,0.0000639754,0.000027695181,0.00014518769,0.000012532699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074338046,0.0006164367,0.0007315431,0.0005123228,0.00027632882,0.0006134643,0.001109026,0.00077490124,0.001648122],"category_scores_gemma":[0.0020299947,0.00026673003,0.0006281865,0.0006317117,0.0002947786,0.0006880623,0.00030844833,0.0011491653,0.000389704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000205537,0.000015316045,0.0009403024,0.000018298802,0.000011903057,0.000036381243,0.000014538272,0.9904287,0.00022113055,0.001053911,0.00035984733,0.006879131],"study_design_scores_gemma":[9.431248e-7,0.0000036906874,0.0001743276,0.0000020616446,0.0000019395638,0.0000054776065,0.000002501556,0.99924135,0.000049872015,0.0004429666,0.00007347481,0.0000014116375],"about_ca_topic_score_codex":0.01788708,"about_ca_topic_score_gemma":0.009928953,"teacher_disagreement_score":0.01788708,"about_ca_system_score_codex":0.00070883764,"about_ca_system_score_gemma":0.00046667675,"threshold_uncertainty_score":0.035565913},"labels":[],"label_agreement":null},{"id":"W3046586022","doi":"10.1109/tec.2020.3013190","title":"More Robust and Reliable Optimized Energy Conversion Facilitated through Electric Machines, Power Electronics and Drives, and Their Control: State-of-the-Art and Trends","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Linz Center of Mechatronics","keywords":"Robustness (evolution); Notice; Power electronics; Reliability (semiconductor); Computer science; Electronics; Control engineering; Robust control; Reliability engineering; Engineering; Power (physics); Control system; Electrical engineering; Voltage","score_opus":0.007621724831745308,"score_gpt":0.1996903331837197,"score_spread":0.1920686083519744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046586022","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007462263,0.26338506,0.70227885,0.0022241338,0.0007367501,0.000044992277,0.00012658532,0.00068632234,0.023054948],"genre_scores_gemma":[0.32098916,0.3879855,0.2648741,0.0015498103,0.0036577133,0.00013042358,0.0007036965,0.0007034848,0.019406157],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999091,0.00017811178,0.00007859174,0.00017027505,0.00043648982,0.00004553823],"domain_scores_gemma":[0.99883884,0.0006110406,0.00013757563,0.00015990892,0.00022787455,0.000024848268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013076457,0.0010236903,0.0011573342,0.001144148,0.0001611017,0.002594906,0.0011037403,0.0012023544,0.00405959],"category_scores_gemma":[0.0016508404,0.00041688752,0.00069844566,0.0015705484,0.0010159686,0.0036452385,0.0011209334,0.0018834582,0.0012190203],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015103458,0.0001276438,0.00044850132,0.0039455607,0.00018464791,0.0001576183,0.00018374187,0.08109054,0.028050646,0.20866378,0.0097275255,0.6672688],"study_design_scores_gemma":[0.00004160881,0.00066937483,0.0013756112,0.0013846958,0.0002268494,0.00073041866,0.00021349157,0.3358947,0.0376391,0.22822423,0.39338613,0.00021381084],"about_ca_topic_score_codex":0.0002934218,"about_ca_topic_score_gemma":0.0002552879,"teacher_disagreement_score":0.00405959,"about_ca_system_score_codex":0.0005133024,"about_ca_system_score_gemma":0.0004582168,"threshold_uncertainty_score":0.01358068},"labels":[],"label_agreement":null},{"id":"W3047163196","doi":"10.1016/j.rser.2020.110129","title":"Key technology and application analysis of quick coding for recovery of retired energy vehicle battery","year":2020,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; École de Technologie Supérieure","funders":"","keywords":"Battery (electricity); Electric vehicle; Identification (biology); Engineering; Automotive engineering; Electric-vehicle battery; Coding (social sciences); Key (lock); Computer science; Power (physics); Computer security","score_opus":0.014447904453053401,"score_gpt":0.2490619629214376,"score_spread":0.23461405846838418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047163196","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24003921,0.07683093,0.5559986,0.0026826235,0.0014468265,0.000366937,0.0011913297,0.0017726949,0.119670875],"genre_scores_gemma":[0.91861546,0.01669501,0.030735819,0.000271447,0.00016992488,0.000082212006,0.0004838185,0.00009833241,0.03284803],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99979526,0.000014329865,0.000008080431,0.000033095937,0.00012426451,0.000024945844],"domain_scores_gemma":[0.9997851,0.000041645373,0.000020135505,0.00002382528,0.0001221707,0.0000071365084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002543256,0.00032981895,0.00029951523,0.0006859802,0.00028378703,0.0007273621,0.00085973006,0.00048363375,0.003593176],"category_scores_gemma":[0.00040882846,0.00013111978,0.00035337877,0.00071571826,0.0003675207,0.0012420943,0.0004468948,0.00041433884,0.00090168347],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030373523,0.000068224166,0.0016531061,0.0017699857,0.00005929108,0.00055288954,0.00045542562,0.016004052,0.5515907,0.082926884,0.01002967,0.33458602],"study_design_scores_gemma":[0.000023647204,0.00054587977,0.003065895,0.0002131429,0.00012621545,0.0021330456,0.00037254478,0.12090944,0.73197705,0.020375738,0.120137885,0.000119510354],"about_ca_topic_score_codex":0.0011757968,"about_ca_topic_score_gemma":0.00078475644,"teacher_disagreement_score":0.003593176,"about_ca_system_score_codex":0.00073110615,"about_ca_system_score_gemma":0.00043516012,"threshold_uncertainty_score":0.0120203495},"labels":[],"label_agreement":null},{"id":"W3047749562","doi":"10.1109/itec48692.2020.9161522","title":"Electrical Circuit Modeling of a 18650 Lithium-Ion Cell for Charging Protocol Testing for Transportation Electrification Applications","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Electrification; Protocol (science); Lithium (medication); Computer science; Reliability engineering; Automotive engineering; Electrical engineering; Materials science; Engineering; Electricity","score_opus":0.06332346895588303,"score_gpt":0.3013100813070171,"score_spread":0.23798661235113405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047749562","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20950282,0.001493838,0.67764986,0.0009717457,0.00023434509,0.0006034184,0.004493581,0.00373831,0.101312056],"genre_scores_gemma":[0.93957305,0.00078843645,0.026686292,0.0001128364,0.000023302726,0.00040094767,0.00090342027,0.00011636549,0.031395383],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985325,0.000023209519,0.0000066264947,0.00003224991,0.000071987255,0.000012589408],"domain_scores_gemma":[0.9999119,0.000022141094,0.000009419653,0.00001649166,0.000036838304,0.000003166009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010628952,0.00041347666,0.00037530673,0.0003314445,0.00032792895,0.00061834377,0.0013570802,0.00084358786,0.004748804],"category_scores_gemma":[0.00025413264,0.00015569112,0.00044838377,0.00036649188,0.00020675812,0.0006434237,0.0001774603,0.00034929524,0.00091982976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019075185,0.00011163423,0.002881931,0.0005684017,0.000073345414,0.00050758274,0.00028024727,0.8076689,0.11407773,0.015783817,0.0052131554,0.05264249],"study_design_scores_gemma":[0.000012775128,0.00021991362,0.0012498596,0.000031518342,0.000055327917,0.0002476787,0.000058965277,0.9577074,0.021915296,0.0015453745,0.016937852,0.00001807421],"about_ca_topic_score_codex":0.004933615,"about_ca_topic_score_gemma":0.0052514006,"teacher_disagreement_score":0.004933615,"about_ca_system_score_codex":0.0008134223,"about_ca_system_score_gemma":0.0006727813,"threshold_uncertainty_score":0.015886307},"labels":[],"label_agreement":null},{"id":"W3047789608","doi":"10.2138/gselements.16.4.265","title":"From Mine to Mind and Mobiles: Society’s Increasing Dependence on Lithium","year":2020,"lang":"en","type":"article","venue":"Elements","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"NORAM (Canada); Hatch (Canada)","funders":"","keywords":"Laptop; Lithium (medication); Mobile phone; Battery (electricity); Computer science; Engineering physics; Internet privacy; Telecommunications; Engineering; Psychology; Psychiatry; Physics","score_opus":0.02400011122593107,"score_gpt":0.2813663585856174,"score_spread":0.2573662473596864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047789608","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01506143,0.10409412,0.0038356422,0.6318291,0.020869322,0.000026445796,0.00036499187,0.00046288877,0.22345604],"genre_scores_gemma":[0.19429107,0.20882574,0.006253569,0.24745364,0.019334098,0.0001007701,0.0004355527,0.0006061254,0.32269955],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989807,0.0002151028,0.000045293527,0.00014462681,0.0004718816,0.00014241121],"domain_scores_gemma":[0.99842155,0.0003992444,0.00010352486,0.00012400268,0.0004901414,0.00046149147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090601266,0.00049307995,0.00039812885,0.0007967026,0.0037307187,0.0058742757,0.0005805995,0.0030819892,0.018026749],"category_scores_gemma":[0.0024990828,0.00026269228,0.00032243345,0.0010799494,0.0063815922,0.010901931,0.0034243944,0.005435992,0.0073735034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006958073,0.000041552714,0.001487649,0.00043622957,0.000015038705,0.00045711733,0.009863524,0.000083079794,0.0023526503,0.14057374,0.6532698,0.19135001],"study_design_scores_gemma":[0.0000029995167,0.000022548893,0.0005238484,0.00015790388,0.0000028745944,0.0004780323,0.0020147418,0.000029881205,0.00016359276,0.014682778,0.9819074,0.00001346366],"about_ca_topic_score_codex":0.00313973,"about_ca_topic_score_gemma":0.006009104,"teacher_disagreement_score":0.018026749,"about_ca_system_score_codex":0.0014437023,"about_ca_system_score_gemma":0.0020310518,"threshold_uncertainty_score":0.060305476},"labels":[],"label_agreement":null},{"id":"W3048254867","doi":"","title":"Digest of \"Active Battery Balancing for Electric Vehicles Battery Pack\"","year":2013,"lang":"en","type":"article","venue":"ICT Role for Next Generation Universitie (Riga Technical University)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Battery pack; Equalization (audio); Automotive battery; Automotive engineering; Voltage; Computer science; Electric-vehicle battery; Engineering; Simple (philosophy); Work (physics); Reliability engineering; Electrical engineering; Power (physics); Mechanical engineering","score_opus":0.01989650082976608,"score_gpt":0.21324965002545831,"score_spread":0.19335314919569224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048254867","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013061155,0.08004379,0.25808993,0.010982101,0.06511113,0.0014258648,0.0053201825,0.003592442,0.5623734],"genre_scores_gemma":[0.02329293,0.033550937,0.030088138,0.0022589224,0.006837299,0.00036571742,0.005252763,0.0009671921,0.8973861],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995066,0.00006299457,0.000047736903,0.000051640716,0.00030161187,0.000029415854],"domain_scores_gemma":[0.999225,0.00011204168,0.000030060166,0.00011106093,0.0004736989,0.000048182137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008816314,0.0008294213,0.0006337122,0.001366473,0.0005476278,0.0010223459,0.0009158564,0.0010969725,0.07386919],"category_scores_gemma":[0.0010989687,0.00039395827,0.00047201524,0.0014654065,0.00033906428,0.0015792549,0.0008315698,0.0010444153,0.045765445],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029230185,0.00013960901,0.00037555283,0.0015024549,0.000028209688,0.00028619423,0.00011426767,0.0016010329,0.02926053,0.012313952,0.533331,0.42075485],"study_design_scores_gemma":[0.0000109919365,0.000116320916,0.0007397203,0.00017489286,0.000012941739,0.00036545377,0.000026816902,0.0008113267,0.0048482697,0.0020350413,0.9908428,0.000015361455],"about_ca_topic_score_codex":0.00076369167,"about_ca_topic_score_gemma":0.0010322119,"teacher_disagreement_score":0.07386919,"about_ca_system_score_codex":0.0005834225,"about_ca_system_score_gemma":0.0006130119,"threshold_uncertainty_score":0.2471171},"labels":[],"label_agreement":null},{"id":"W3048268592","doi":"10.1109/itec48692.2020.9161556","title":"Dual Estimation Strategy for New and Aged Electric Vehicles Batteries","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ford Motor Company (Canada); McMaster University","funders":"","keywords":"Battery (electricity); State of charge; State of health; Dual (grammatical number); Computer science; Equivalent circuit; Automotive engineering; Control theory (sociology); Engineering; Voltage; Control (management); Electrical engineering; Power (physics); Artificial intelligence","score_opus":0.03775431123111693,"score_gpt":0.28329206562211434,"score_spread":0.2455377543909974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048268592","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021647312,0.00022706167,0.9765253,0.000059853683,0.000030722156,0.000020003437,0.000012555912,0.00026415355,0.0012130408],"genre_scores_gemma":[0.88971865,0.00023782412,0.10583385,0.00008174597,0.000047068323,0.000057799203,0.000077045726,0.000030263958,0.003915684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970776,0.00005213958,0.000025085697,0.00008141901,0.000104758954,0.000028874783],"domain_scores_gemma":[0.99963236,0.00009905711,0.00006898267,0.00003704255,0.00014880717,0.000013720982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047086793,0.0005693329,0.0006584737,0.0004636996,0.00024796705,0.0006841736,0.0007137358,0.0005847694,0.0010809802],"category_scores_gemma":[0.0010787905,0.00028471876,0.0003790057,0.00023622588,0.00027240277,0.0006884312,0.0005791285,0.00045489983,0.00033401386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032403864,0.00013234779,0.0025580637,0.00023215801,0.000095119125,0.0002752754,0.00031074992,0.4757606,0.05765679,0.00863958,0.0014094618,0.45260584],"study_design_scores_gemma":[0.0000099001245,0.00005804372,0.00035651703,0.0000053412214,0.0000142932895,0.000044181514,0.000011394561,0.9946997,0.0034708774,0.00062895694,0.000691985,0.000008830649],"about_ca_topic_score_codex":0.00320227,"about_ca_topic_score_gemma":0.0028021538,"teacher_disagreement_score":0.00320227,"about_ca_system_score_codex":0.00035237664,"about_ca_system_score_gemma":0.0004288676,"threshold_uncertainty_score":0.006367266},"labels":[],"label_agreement":null},{"id":"W3048271222","doi":"10.1109/itec48692.2020.9161594","title":"Automatic Voltage Distortion Compensation for Improved State Estimation Accuracy in Battery Management Systems with Continuous Cell Balancing","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Battery (electricity); Voltage; State of charge; Internal resistance; Computer science; Compensation (psychology); Node (physics); Electrical engineering; Battery pack; Electronic engineering; Power (physics); Control theory (sociology); Engineering; Control (management)","score_opus":0.010921225509777454,"score_gpt":0.23343732959878782,"score_spread":0.22251610408901037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048271222","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15336686,0.0004842962,0.83711106,0.00016514602,0.00009427486,0.000069271446,0.00010399252,0.0029605324,0.005644599],"genre_scores_gemma":[0.9746799,0.00007847112,0.02385917,0.00003141362,0.000011410422,0.0000197335,0.000050842937,0.00007677918,0.0011923776],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998116,0.00002939768,0.000013103944,0.00004512644,0.00008492526,0.000015785436],"domain_scores_gemma":[0.99973863,0.00008052545,0.00003969883,0.000057067013,0.00007827298,0.0000057543975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022480743,0.00037874677,0.00028291473,0.00025137127,0.00025853756,0.00057222525,0.00074593164,0.0002474456,0.001996061],"category_scores_gemma":[0.0008616627,0.00017706006,0.00017060839,0.00026171803,0.00020053363,0.0009848075,0.00033557482,0.00038175,0.0005207545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057102804,0.00016458408,0.0036941338,0.00042024715,0.000059037993,0.00024747572,0.00052023516,0.16228461,0.33351585,0.00589028,0.002985725,0.48964676],"study_design_scores_gemma":[0.000023261113,0.00026556881,0.0018578641,0.000028056356,0.000022023514,0.00021439535,0.00005079202,0.8910539,0.099510066,0.0015515316,0.00539944,0.000023063327],"about_ca_topic_score_codex":0.00115054,"about_ca_topic_score_gemma":0.0023921803,"teacher_disagreement_score":0.001996061,"about_ca_system_score_codex":0.0003372925,"about_ca_system_score_gemma":0.0002621241,"threshold_uncertainty_score":0.0066775084},"labels":[],"label_agreement":null},{"id":"W3048310899","doi":"10.1109/itec48692.2020.9161555","title":"Quantifying the GHG Reduction versus Battery Size in Diesel Buses with Electrified HVAC","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"HVAC; Automotive engineering; Battery (electricity); Environmental science; Diesel fuel; Work (physics); Reduction (mathematics); Greenhouse gas; Air conditioning; Software deployment; Ventilation (architecture); Engineering; Power (physics)","score_opus":0.06626163590698714,"score_gpt":0.2876362899904147,"score_spread":0.22137465408342755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048310899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961945,0.000044966873,0.0012550009,0.000032960583,0.0000025194884,0.000015518957,0.00034153787,0.000025801452,0.0020872785],"genre_scores_gemma":[0.99814284,0.00005021595,0.00085711654,0.000007365189,6.290315e-7,0.000008982984,0.00024878987,0.0000061306782,0.0006780234],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999285,0.00002229776,0.000002400193,0.000013194277,0.000015398642,0.000018280569],"domain_scores_gemma":[0.9997818,0.00013145842,0.000022767685,0.000010941457,0.000046078654,0.000006899611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033006776,0.00043643426,0.00022446345,0.0002861357,0.0002004264,0.00038953702,0.00029226675,0.0002901935,0.0013719518],"category_scores_gemma":[0.0004752303,0.00019341112,0.00047286952,0.00046711025,0.00022213704,0.0005567019,0.0001836173,0.00023471114,0.000112220616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020093845,0.00008116093,0.02317672,0.00007661383,0.00006205478,0.000101605205,0.00004592709,0.96026313,0.008671937,0.00045584133,0.00025403715,0.006610102],"study_design_scores_gemma":[0.000105778214,0.0013637028,0.08432781,0.000023267969,0.00022298671,0.000100279634,0.0005900586,0.8815307,0.02814005,0.0011781409,0.0023766363,0.000040574985],"about_ca_topic_score_codex":0.039427176,"about_ca_topic_score_gemma":0.067297734,"teacher_disagreement_score":0.039427176,"about_ca_system_score_codex":0.0009269676,"about_ca_system_score_gemma":0.0005686542,"threshold_uncertainty_score":0.07839537},"labels":[],"label_agreement":null},{"id":"W3048331249","doi":"10.1109/itec48692.2020.9161745","title":"Novel Bank Switching of Supercapacitors with Enhanced Energy Utilization for Electric Vehicular Applications","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Supercapacitor; Voltage; Energy (signal processing); Power (physics); Electric vehicle; Electrical engineering; Computer science; Automotive engineering; Electronic engineering; Engineering; Capacitance","score_opus":0.02596986530560889,"score_gpt":0.2513786666011991,"score_spread":0.22540880129559024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048331249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73586714,0.0023606576,0.23752286,0.00048274733,0.00044942365,0.00014246677,0.00046107188,0.002020888,0.020692764],"genre_scores_gemma":[0.99194556,0.00022480995,0.00630816,0.000037835296,0.000017357916,0.00002119069,0.000039127855,0.000011555984,0.0013944465],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999304,0.0000055609585,0.000006405643,0.000019263933,0.000023552791,0.000014718226],"domain_scores_gemma":[0.99992657,0.000011849933,0.000011248882,0.000012721661,0.000026703778,0.00001098803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007685826,0.00027255632,0.00024940487,0.00023150006,0.00017370936,0.00035517782,0.00087907625,0.00023268528,0.0014487575],"category_scores_gemma":[0.0001284055,0.00012433284,0.00015125582,0.00033049347,0.00018675833,0.00044894044,0.00018936917,0.00024542984,0.0002768684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000722823,0.00023278726,0.0013151733,0.00036948305,0.00004678489,0.00058374606,0.00016587996,0.022665063,0.82185894,0.005892316,0.0035452433,0.14260167],"study_design_scores_gemma":[0.000082219296,0.0008938923,0.0025252914,0.000037187838,0.00008102995,0.0007511551,0.00013925033,0.34097496,0.6360698,0.0029245352,0.015482237,0.000038410515],"about_ca_topic_score_codex":0.00046788718,"about_ca_topic_score_gemma":0.0009304996,"teacher_disagreement_score":0.0014487575,"about_ca_system_score_codex":0.00021633685,"about_ca_system_score_gemma":0.00017196478,"threshold_uncertainty_score":0.004846573},"labels":[],"label_agreement":null},{"id":"W3048635775","doi":"10.1038/s41598-020-70505-0","title":"Nuclear magnetic resonance spectroscopy of rechargeable pouch cell batteries: beating the skin depth by excitation and detection via the casing","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Naval Research Laboratory; Division of Chemical, Bioengineering, Environmental, and Transport Systems; Office of Naval Research; York University; National Science Foundation","keywords":"Casing; Battery (electricity); Materials science; Electrochemical cell; Optoelectronics; Characterization (materials science); Electrolyte; Excitation; Computer science; Electrode; Biomedical engineering; Nuclear magnetic resonance; Nanotechnology; Power (physics); Electrical engineering; Mechanical engineering; Chemistry; Physics","score_opus":0.010543318040999856,"score_gpt":0.22317823028519942,"score_spread":0.21263491224419956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048635775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989205,0.00050808163,0.008544098,0.00006890914,0.0000199788,0.00000979195,0.00004366472,0.0000740409,0.0015263592],"genre_scores_gemma":[0.9949072,0.00020477224,0.0033010985,0.000019323956,0.000005132424,0.0000101933665,0.000030250778,0.000009198477,0.0015128803],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999536,0.000009300865,0.0000017490847,0.000009902513,0.000018539859,0.0000067340516],"domain_scores_gemma":[0.9999137,0.000039492712,0.000013812768,0.000008828813,0.000016956747,0.0000071709464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014280652,0.00012380177,0.00013862754,0.000112018235,0.00013088432,0.00028712742,0.0001873444,0.00027236564,0.00086425233],"category_scores_gemma":[0.00021566424,0.00007324157,0.000055912966,0.00010514975,0.00017852442,0.000320616,0.00014333939,0.0001531915,0.00017142356],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003954056,0.000007472676,0.00032368835,0.000020711004,0.000002180217,0.000053966887,0.000033489985,0.0001120265,0.99646723,0.00009856837,0.000034430803,0.00280672],"study_design_scores_gemma":[0.000008068419,0.00017560265,0.0020248531,0.00000394188,0.000004799695,0.00013770253,0.000081173566,0.0027108209,0.9935821,0.00012432407,0.00113686,0.0000097557995],"about_ca_topic_score_codex":0.00022578178,"about_ca_topic_score_gemma":0.00028147775,"teacher_disagreement_score":0.00086425233,"about_ca_system_score_codex":0.0000844288,"about_ca_system_score_gemma":0.00007460879,"threshold_uncertainty_score":0.002891183},"labels":[],"label_agreement":null},{"id":"W3048781608","doi":"10.1016/j.joule.2020.07.014","title":"Ultrasonic Scanning to Observe Wetting and “Unwetting” in Li-Ion Pouch Cells","year":2020,"lang":"en","type":"article","venue":"Joule","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":356,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wetting; Ultrasonic sensor; Ion; Pouch; Materials science; Geology; Chemistry; Composite material; Acoustics; Physics; Organic chemistry; Paleontology","score_opus":0.02324780826683141,"score_gpt":0.2564181444454595,"score_spread":0.23317033617862812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048781608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933482,0.0002818387,0.0055746115,0.000045828223,0.000018060526,0.0000078881485,0.000027677135,0.00006126274,0.0006346457],"genre_scores_gemma":[0.99562067,0.00015559969,0.0029735093,0.00003369051,0.0000080871105,0.000010132854,0.000029389059,0.000014364846,0.0011546256],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999915,0.000008087727,0.000005203858,0.000017046286,0.000032278153,0.000022358721],"domain_scores_gemma":[0.99979705,0.00010381559,0.00002825683,0.000023407289,0.000030935716,0.000016476215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001734406,0.0001255757,0.0001859651,0.00022749494,0.00019838025,0.00026706365,0.00029856444,0.0003530239,0.0011321434],"category_scores_gemma":[0.0002951836,0.00015936226,0.00011545096,0.00025897348,0.00033597383,0.00039128086,0.00023244269,0.00032864127,0.0001341295],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007527067,0.000015427042,0.00061440194,0.000023650431,0.000002767927,0.00004576072,0.00007430355,0.00018559268,0.99513584,0.00014975971,0.00004678576,0.0036304242],"study_design_scores_gemma":[0.000011443632,0.00020642596,0.006134004,0.0000033800898,0.0000065423724,0.000103388295,0.00013243883,0.00641567,0.9863369,0.00010607431,0.0005338125,0.00000992545],"about_ca_topic_score_codex":0.00045102095,"about_ca_topic_score_gemma":0.0005273638,"teacher_disagreement_score":0.0011321434,"about_ca_system_score_codex":0.00014039293,"about_ca_system_score_gemma":0.00013034702,"threshold_uncertainty_score":0.0037873387},"labels":[],"label_agreement":null},{"id":"W3048829546","doi":"10.1109/tpel.2020.3030822","title":"Dimensioning and Power Management of Hybrid Energy Storage Systems for Electric Vehicles With Multiple Optimization Criteria","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Dimensioning; Energy storage; Energy management; Computer science; Fuzzy logic; Hybrid system; Power management; Battery (electricity); Control engineering; Engineering; Power (physics); Energy (signal processing)","score_opus":0.008975449260748131,"score_gpt":0.22358649272024275,"score_spread":0.2146110434594946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048829546","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09595173,0.0007692611,0.89461976,0.00030755677,0.000047216927,0.00011224564,0.000083887346,0.00021177574,0.007896504],"genre_scores_gemma":[0.95704365,0.00021368329,0.040988024,0.00005241395,0.000015517817,0.00015932793,0.000072975694,0.0000159836,0.0014384836],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974805,0.000093740266,0.000017435286,0.000037137965,0.00007251953,0.00003124108],"domain_scores_gemma":[0.99979013,0.000102642,0.00003473637,0.000011144622,0.000050533796,0.000010852559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065943546,0.00081297406,0.0006163022,0.00050323096,0.00038790598,0.001083805,0.00042134972,0.0005427801,0.0010448387],"category_scores_gemma":[0.00086001604,0.00034372,0.0004969526,0.00045284868,0.00039454494,0.00065545796,0.00064374664,0.00048880995,0.00010005732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003187013,0.000021606384,0.00024560472,0.000042577496,0.000024240477,0.000028390414,0.00002434819,0.97708625,0.001555478,0.0029241971,0.00022254573,0.017792981],"study_design_scores_gemma":[0.000006412457,0.000029084224,0.000105359446,0.000004138177,0.000005920212,0.0000056862064,0.000009161311,0.99779546,0.00038179904,0.0014105927,0.00024322422,0.0000031955249],"about_ca_topic_score_codex":0.0029866078,"about_ca_topic_score_gemma":0.002865406,"teacher_disagreement_score":0.0029866078,"about_ca_system_score_codex":0.0006905582,"about_ca_system_score_gemma":0.00073771394,"threshold_uncertainty_score":0.0059384704},"labels":[],"label_agreement":null},{"id":"W3048858172","doi":"10.1109/tte.2020.3015743","title":"A Comprehensive Review of DC Fast-Charging Stations With Energy Storage: Architectures, Power Converters, and Analysis","year":2020,"lang":"en","type":"review","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":255,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Energy storage; TRIPS architecture; Converters; Computer science; Grid; Electrical engineering; Power (physics); Automotive engineering; Environmental economics; Engineering; Operating system; Voltage","score_opus":0.016732421436410422,"score_gpt":0.27199293421562853,"score_spread":0.25526051277921813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048858172","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00057294633,0.9924521,0.0013722316,0.00021729052,0.00025557168,0.00002319021,0.0001379887,0.000033603283,0.0049349912],"genre_scores_gemma":[0.0022806784,0.99389356,0.0011998393,0.00017615088,0.00016071044,0.000018984785,0.00019837616,0.000008062103,0.0020636267],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99975246,0.000029634351,0.000039775663,0.000050075047,0.00010854712,0.000019490924],"domain_scores_gemma":[0.9996164,0.00016613124,0.00004817867,0.000015968635,0.00013649758,0.000016931896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005003905,0.001015702,0.0010862367,0.0026872887,0.00026497146,0.00091155694,0.0008155902,0.0007946524,0.006418784],"category_scores_gemma":[0.0008285195,0.0004168222,0.00072721654,0.0035663045,0.00018420738,0.0016761427,0.00046035834,0.00071759475,0.0032084465],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006375556,0.00008421065,0.0002082954,0.038851812,0.000108180495,0.00016047586,0.000059563572,0.0012633809,0.004113125,0.00656551,0.030138465,0.91838324],"study_design_scores_gemma":[0.000007822733,0.00018152781,0.00055392564,0.0042462326,0.0001883083,0.0005959679,0.00004569481,0.0003557075,0.0017219824,0.0015348644,0.9905405,0.000027484075],"about_ca_topic_score_codex":0.0009120118,"about_ca_topic_score_gemma":0.0015364088,"teacher_disagreement_score":0.006418784,"about_ca_system_score_codex":0.00035252178,"about_ca_system_score_gemma":0.0010905728,"threshold_uncertainty_score":0.02147299},"labels":[],"label_agreement":null},{"id":"W3049197893","doi":"10.3390/batteries6030042","title":"SOC Estimation of a Rechargeable Li-Ion Battery Used in Fuel-Cell Hybrid Electric Vehicles—Comparative Study of Accuracy and Robustness Performance Based on Statistical Criteria. Part I: Equivalent Models","year":2020,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"John Abbott College; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"State of charge; Battery (electricity); Computer science; Estimator; Robustness (evolution); Residual; Automotive engineering; MATLAB; State of health; Simulation; Engineering; Algorithm; Power (physics)","score_opus":0.07304937713760278,"score_gpt":0.30887312960162644,"score_spread":0.23582375246402365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049197893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66819227,0.002617851,0.31893,0.00020140376,0.00008229068,0.00009513168,0.0006265144,0.0019062818,0.007348267],"genre_scores_gemma":[0.9955266,0.00029669132,0.0035009342,0.000008328233,0.0000073843116,0.000017881961,0.00019712627,0.000019514999,0.00042552946],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996748,0.00007674368,0.000028270462,0.000059349364,0.00013192686,0.000029008077],"domain_scores_gemma":[0.9990797,0.0004602454,0.00011054225,0.00009775016,0.00023968088,0.000012081596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005976785,0.0006012256,0.00046812408,0.0008235819,0.00016895245,0.0006205175,0.0006369742,0.0004669529,0.00075574405],"category_scores_gemma":[0.0024687694,0.00015575823,0.0005642231,0.00046578213,0.00017746046,0.0006774447,0.0003074768,0.00027307885,0.00019563477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047133912,0.00007206775,0.009209488,0.00031860982,0.00011581342,0.00012597989,0.00009872868,0.89851934,0.010669436,0.0015622725,0.0005567958,0.0782802],"study_design_scores_gemma":[0.0000055290416,0.0001465538,0.002377925,0.000011913495,0.000027168477,0.000041911873,0.000023139379,0.9896667,0.00709084,0.000252806,0.0003431425,0.000012398533],"about_ca_topic_score_codex":0.0068070483,"about_ca_topic_score_gemma":0.0036819007,"teacher_disagreement_score":0.0068070483,"about_ca_system_score_codex":0.0005078904,"about_ca_system_score_gemma":0.00029150286,"threshold_uncertainty_score":0.0135349035},"labels":[],"label_agreement":null},{"id":"W3049306684","doi":"10.1109/tte.2020.3016209","title":"Optimal Discretization Approach to the Enhanced Single-Particle Model for Li-Ion Batteries","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"University of Michigan","keywords":"Discretization; Particle swarm optimization; Voltage; State of charge; Battery (electricity); Reduction (mathematics); Computer science; Computation; Mathematical optimization; Electrolyte; Control theory (sociology); Algorithm; Mathematics; Chemistry; Physics; Thermodynamics; Power (physics); Mathematical analysis","score_opus":0.03447677203229192,"score_gpt":0.2533562884928324,"score_spread":0.2188795164605405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049306684","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010538674,0.00044152277,0.9836489,0.00018485216,0.000075074364,0.000037753507,0.00008952347,0.00010446848,0.004879186],"genre_scores_gemma":[0.7477409,0.0010731013,0.23872896,0.00018993343,0.000121891935,0.0004926423,0.0004434189,0.00012804511,0.011081022],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998306,0.00005548948,0.000009338959,0.000023111148,0.000061719016,0.000019744988],"domain_scores_gemma":[0.99977463,0.00011753873,0.000022627624,0.000019360119,0.000053281856,0.000012542509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041784663,0.0006464694,0.0007772412,0.00031129236,0.00033997657,0.0007170519,0.0010727773,0.0009829149,0.002023006],"category_scores_gemma":[0.000883795,0.00041593247,0.0009274283,0.00042837602,0.0005090815,0.0007272519,0.00061715185,0.0010450354,0.0003755884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013499192,0.000009808759,0.00015197662,0.000026280986,0.000009265162,0.000025095434,0.0000143097395,0.98986125,0.00065648137,0.005882187,0.00023257667,0.0031173006],"study_design_scores_gemma":[0.0000019039313,0.0000030209742,0.000015605025,0.0000011499462,9.947354e-7,0.0000018006884,0.0000014638949,0.99903846,0.000059423008,0.0007109921,0.00016421353,0.0000010784917],"about_ca_topic_score_codex":0.009289123,"about_ca_topic_score_gemma":0.004866235,"teacher_disagreement_score":0.009289123,"about_ca_system_score_codex":0.0006046831,"about_ca_system_score_gemma":0.001044468,"threshold_uncertainty_score":0.018470109},"labels":[],"label_agreement":null},{"id":"W3049699187","doi":"10.1016/j.enconman.2020.113295","title":"Assessment of energy storage technologies: A review","year":2020,"lang":"en","type":"review","venue":"Energy Conversion and Management","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":828,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; University of Alberta; Cenovus Energy","keywords":"Cost of electricity by source; Energy storage; Renewable energy; Life-cycle assessment; Reliability (semiconductor); Reliability engineering; Thermal energy storage; Process engineering; Environmental science; Computer science; Engineering; Environmental economics; Electricity generation; Power (physics); Production (economics); Electrical engineering","score_opus":0.022321090827812185,"score_gpt":0.3012367305137461,"score_spread":0.2789156396859339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049699187","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015762004,0.9986785,0.00012173698,0.0001464053,0.0001077173,0.000009965951,0.00005976555,0.0000047330745,0.0007134619],"genre_scores_gemma":[0.00078249315,0.9985032,0.00018951386,0.00011638178,0.00007439219,0.000008094931,0.000051196046,9.779909e-7,0.0002738121],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996215,0.0000549478,0.00007420625,0.000058911835,0.00016616567,0.000024276695],"domain_scores_gemma":[0.99903786,0.00044070615,0.00018393647,0.000017912475,0.00028349928,0.000036194753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011133039,0.0011866185,0.0020585193,0.003488836,0.00025365068,0.0014850221,0.0010299698,0.0010949345,0.005201126],"category_scores_gemma":[0.001490544,0.0003992095,0.00095745083,0.0046811313,0.0003592404,0.0018612213,0.00074464077,0.0008368032,0.001231006],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012994929,0.00008747376,0.00026749974,0.095854975,0.00025604336,0.00009341142,0.000041281117,0.0006752799,0.0018243402,0.0031778198,0.018088706,0.87950325],"study_design_scores_gemma":[0.00005077861,0.00027043867,0.0018377006,0.033663686,0.0013594952,0.0005680103,0.00013565378,0.0003797476,0.0011901222,0.0034976064,0.95699036,0.00005639671],"about_ca_topic_score_codex":0.0022048005,"about_ca_topic_score_gemma":0.0046338974,"teacher_disagreement_score":0.005201126,"about_ca_system_score_codex":0.0007894675,"about_ca_system_score_gemma":0.0028488692,"threshold_uncertainty_score":0.01739949},"labels":[],"label_agreement":null},{"id":"W3074222438","doi":"10.1109/tte.2020.3017090","title":"Battery Health Prediction Using Fusion-Based Feature Selection and Machine Learning","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":361,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Graduate School, Chongqing University; Natural Science Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Feature selection; Kriging; Artificial intelligence; Computer science; Machine learning; Artificial neural network; Data pre-processing; Support vector machine; Data mining; Relevance vector machine; Sensor fusion","score_opus":0.025707767422106332,"score_gpt":0.2531639673262165,"score_spread":0.22745619990411015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3074222438","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2568089,0.0014085389,0.7368497,0.00034994344,0.00015635506,0.00013047158,0.00078015163,0.0017740995,0.0017417651],"genre_scores_gemma":[0.9660937,0.0003302044,0.032154147,0.000045646517,0.000058891717,0.00007932224,0.0007408614,0.000020372763,0.000476869],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948764,0.00008717019,0.000056154775,0.00012830197,0.0001724272,0.0000683647],"domain_scores_gemma":[0.9992606,0.00030615152,0.000093799514,0.00006307529,0.0002544457,0.000021944852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009670886,0.0010092148,0.0012426759,0.0018142617,0.0003114375,0.0006979207,0.00057647546,0.0005139778,0.0005829444],"category_scores_gemma":[0.0024801216,0.00018310224,0.0010769304,0.0015295597,0.00020360608,0.0008707626,0.00054336194,0.00052862626,0.00024994762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005239061,0.00038801582,0.05219569,0.00022868127,0.00030537523,0.00036787262,0.00011721539,0.33965263,0.012543277,0.0013614884,0.004317751,0.5879982],"study_design_scores_gemma":[0.0000110638675,0.00009828586,0.010002404,0.000011515062,0.000049378126,0.00007868292,0.000031155167,0.98548305,0.0029566856,0.0008261,0.00043432016,0.000017333303],"about_ca_topic_score_codex":0.004452901,"about_ca_topic_score_gemma":0.002279223,"teacher_disagreement_score":0.004452901,"about_ca_system_score_codex":0.00038818453,"about_ca_system_score_gemma":0.00044095062,"threshold_uncertainty_score":0.008853972},"labels":[],"label_agreement":null},{"id":"W3083816985","doi":"10.32393/csme.2020.103","title":"Investigation of Battery Charge and Discharge Behavior Based on Measured Field Data","year":2020,"lang":"en","type":"article","venue":"Progress in Canadian Mechanical Engineering. Volume 3","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Electrical engineering; Charge (physics); Field (mathematics); Materials science; Environmental science; Physics; Engineering; Power (physics)","score_opus":0.03943622831448995,"score_gpt":0.256383510859671,"score_spread":0.21694728254518103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083816985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97359145,0.0002517688,0.018601576,0.00010481672,0.000043864446,0.00015734177,0.0017669302,0.0007216066,0.00476064],"genre_scores_gemma":[0.99491584,0.000121745084,0.002092552,0.000022245686,0.0000044365697,0.000038489623,0.00037333166,0.00003167429,0.002399682],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998592,0.000015162516,0.000008715965,0.000022495617,0.00007963289,0.000014824208],"domain_scores_gemma":[0.99925524,0.00019338743,0.000024471596,0.000066310786,0.0004380638,0.000022622686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000333891,0.00023748896,0.00028264403,0.0006000535,0.00033696258,0.0004203604,0.00065459305,0.00030306785,0.004353372],"category_scores_gemma":[0.0008952573,0.00011867656,0.00017080322,0.00055304,0.00017092378,0.00052791904,0.00013521293,0.00039519486,0.0006801439],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010508052,0.00036762902,0.024129897,0.0005315049,0.000050986404,0.0003117163,0.00045543344,0.00522045,0.8953055,0.0005955377,0.0020635133,0.06991695],"study_design_scores_gemma":[0.000073240146,0.0019923237,0.060121298,0.000064623535,0.000051763556,0.0005143026,0.00052959716,0.04932429,0.87975067,0.00044210674,0.007092872,0.000042948624],"about_ca_topic_score_codex":0.0030235082,"about_ca_topic_score_gemma":0.006057091,"teacher_disagreement_score":0.004353372,"about_ca_system_score_codex":0.00041514775,"about_ca_system_score_gemma":0.00029065923,"threshold_uncertainty_score":0.014563501},"labels":[],"label_agreement":null},{"id":"W3087484322","doi":"10.1016/j.electacta.2020.137093","title":"Application of Karhunen–Loéve decomposition and piecewise linearization to a physics-based battery model","year":2020,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Linearization; Model order reduction; Reduction (mathematics); Piecewise; Nonlinear system; Control theory (sociology); Battery (electricity); Applied mathematics; Mathematical optimization; Computer science; Mathematics; Projection (relational algebra); Algorithm; Physics; Mathematical analysis","score_opus":0.011006242820694852,"score_gpt":0.25432673446805054,"score_spread":0.2433204916473557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087484322","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020890154,0.00046884487,0.9645479,0.00023591956,0.00008042283,0.0000349338,0.00007218095,0.00018983101,0.013479848],"genre_scores_gemma":[0.93832463,0.0007813351,0.046748716,0.00009290054,0.000058744103,0.000103374296,0.00013581039,0.00009708634,0.013657385],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999329,0.00002515292,0.000003380919,0.000008368071,0.00002226734,0.000007981146],"domain_scores_gemma":[0.99990094,0.000045824567,0.000010864544,0.000010530346,0.00002626339,0.0000056823483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002323855,0.0005168094,0.0006256853,0.0002927877,0.0003045166,0.0005556499,0.0005612861,0.00057458767,0.0019470878],"category_scores_gemma":[0.000617987,0.00024351061,0.00062693463,0.0002903194,0.00040318278,0.0006020752,0.00049259234,0.00072586746,0.0003871475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030152572,0.000034547946,0.00015449582,0.00008866223,0.000024282355,0.00008819132,0.00007415767,0.9309818,0.006232708,0.051054493,0.0006050023,0.010631505],"study_design_scores_gemma":[0.0000017288921,0.0000051306192,0.000029213394,0.0000022551928,0.0000025118002,0.000007825805,0.000003958885,0.99569535,0.00020958437,0.0037727614,0.000267104,0.0000026400623],"about_ca_topic_score_codex":0.0042119105,"about_ca_topic_score_gemma":0.0033636058,"teacher_disagreement_score":0.0042119105,"about_ca_system_score_codex":0.00037744644,"about_ca_system_score_gemma":0.00058091164,"threshold_uncertainty_score":0.008374751},"labels":[],"label_agreement":null},{"id":"W3088523737","doi":"10.1109/mie.2020.2964814","title":"Advanced Fault Diagnosis for Lithium-Ion Battery Systems: A Review of Fault Mechanisms, Fault Features, and Diagnosis Procedures","year":2020,"lang":"en","type":"review","venue":"IEEE Industrial Electronics Magazine","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":547,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"National Natural Science Foundation of China","keywords":"Fault (geology); Battery (electricity); Reliability engineering; SAFER; Lithium-ion battery; Lithium (medication); Computer science; Engineering; Systems engineering; Embedded system; Computer security; Power (physics); Medicine","score_opus":0.04047680598568126,"score_gpt":0.311262405573545,"score_spread":0.27078559958786375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088523737","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017878742,0.9972928,0.00058462407,0.00020249918,0.00019816177,0.000008426193,0.000023745068,0.000015275684,0.0014955616],"genre_scores_gemma":[0.0010988751,0.9968458,0.0007427781,0.00018004104,0.00018654812,0.000010230746,0.00004521781,0.0000030636909,0.000887441],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996823,0.00003443947,0.00005176054,0.00005014479,0.00016247811,0.000019002455],"domain_scores_gemma":[0.99931586,0.00028237348,0.00008655535,0.000022196436,0.00026266865,0.000030342899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006206512,0.00093181303,0.0009795042,0.003253272,0.0002916769,0.00090024894,0.0009363345,0.0010398414,0.0026722967],"category_scores_gemma":[0.000861893,0.00038823427,0.0005908478,0.0032116491,0.00037579326,0.0020643175,0.00051212974,0.0011303535,0.0019246002],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040701347,0.00009164329,0.0002259997,0.021094298,0.000061410625,0.00016268557,0.00008336526,0.00072825525,0.003624136,0.004796436,0.023876406,0.9452146],"study_design_scores_gemma":[0.000011903228,0.00019221539,0.00086762547,0.0047609173,0.0001279487,0.0015275219,0.000084886,0.00041431194,0.0017346512,0.002599106,0.98763776,0.00004118649],"about_ca_topic_score_codex":0.00134837,"about_ca_topic_score_gemma":0.0018902196,"teacher_disagreement_score":0.003253272,"about_ca_system_score_codex":0.0005304961,"about_ca_system_score_gemma":0.00125007,"threshold_uncertainty_score":0.008939683},"labels":[],"label_agreement":null},{"id":"W3088650053","doi":"10.1109/tte.2020.3025352","title":"Naturalistic Data-Driven Predictive Energy Management for Plug-In Hybrid Electric Vehicles","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":179,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Science Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Weighting; Battery (electricity); Computer science; Term (time); Energy management; Automotive engineering; Model predictive control; Plug-in; Energy (signal processing); Simulation; Engineering; Artificial intelligence; Statistics; Control (management)","score_opus":0.025914116825621145,"score_gpt":0.2606725886437888,"score_spread":0.23475847181816764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088650053","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06397574,0.00034118388,0.9313811,0.00023383719,0.00006990092,0.00004476112,0.00009831153,0.00041850057,0.0034366855],"genre_scores_gemma":[0.9792148,0.00009691844,0.01950163,0.00003554949,0.000021005528,0.00005657528,0.000078389625,0.00001705252,0.0009780214],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990356,0.00002109274,0.000005607711,0.000024142248,0.00003071751,0.00001488181],"domain_scores_gemma":[0.99974865,0.00013283425,0.00003061724,0.000014862513,0.00006222088,0.000010832371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003479208,0.0004776485,0.0005759721,0.00034811773,0.0003088962,0.00054156466,0.0007279228,0.0003844458,0.0007958152],"category_scores_gemma":[0.00077325857,0.00029525254,0.0003674953,0.00040598636,0.0003533436,0.00052973285,0.00045924025,0.0006059645,0.00009272374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023456,0.000019377083,0.0003703786,0.000024049506,0.000011414928,0.00003405454,0.000018142928,0.9828332,0.000585845,0.0016916788,0.00026186992,0.014126562],"study_design_scores_gemma":[6.848303e-7,0.0000029290893,0.000036978334,6.652013e-7,7.686885e-7,0.0000017840817,0.0000018220443,0.99953187,0.00007360932,0.00029830742,0.00004982128,7.5610234e-7],"about_ca_topic_score_codex":0.008336441,"about_ca_topic_score_gemma":0.00819298,"teacher_disagreement_score":0.008336441,"about_ca_system_score_codex":0.000499914,"about_ca_system_score_gemma":0.0006681376,"threshold_uncertainty_score":0.016575873},"labels":[],"label_agreement":null},{"id":"W3088846725","doi":"10.1002/er.5946","title":"Numerical study on sensitivity analysis of factors influencing liquid cooling with double cold‐plate for lithium‐ion pouch cell","year":2020,"lang":"en","type":"article","venue":"International Journal of Energy Research","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Intelligent Mechatronic Systems (Canada); University of Waterloo","funders":"Dong-A University","keywords":"Coolant; Pressure drop; Materials science; Volumetric flow rate; Inlet; Lithium-ion battery; Volume (thermodynamics); Mechanics; Chemistry; Thermodynamics; Analytical Chemistry (journal); Battery (electricity); Mechanical engineering; Chromatography; Engineering; Physics","score_opus":0.06287829129537673,"score_gpt":0.3586509240945135,"score_spread":0.2957726327991368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088846725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86347455,0.0005470405,0.12534174,0.00032379534,0.000080190606,0.00015280867,0.00027310438,0.00023752307,0.009569283],"genre_scores_gemma":[0.99400973,0.0000847292,0.005141469,0.000016668742,0.000004994675,0.000046484172,0.000046559504,0.000010605417,0.0006387388],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997497,0.00006970855,0.000011470719,0.000045550485,0.00006385656,0.000059703292],"domain_scores_gemma":[0.99883515,0.00086976483,0.00009671812,0.000034792796,0.0001397696,0.000023853929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069390755,0.0006599843,0.00068799505,0.00056384085,0.0006151608,0.0008037374,0.0004890043,0.0010895593,0.0013333053],"category_scores_gemma":[0.0018842042,0.0003565088,0.00090389926,0.00037995534,0.0006096584,0.0004618611,0.0004981319,0.00050067244,0.00007609282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066705325,0.00003092188,0.0016550897,0.00007500296,0.000019620085,0.00012893447,0.000028435788,0.989893,0.005673666,0.0004711965,0.00010464229,0.0018527678],"study_design_scores_gemma":[0.00000576585,0.000031074767,0.0004288089,0.0000032347436,0.0000071232093,0.00000969103,0.000017215012,0.99780685,0.0015205662,0.000081984785,0.000082136066,0.0000055778955],"about_ca_topic_score_codex":0.01256899,"about_ca_topic_score_gemma":0.00498223,"teacher_disagreement_score":0.01256899,"about_ca_system_score_codex":0.0006651182,"about_ca_system_score_gemma":0.00069157913,"threshold_uncertainty_score":0.024991632},"labels":[],"label_agreement":null},{"id":"W3088901647","doi":"10.3390/en13195041","title":"Impact of Powertrain Components Size and Degradation Level on the Energy Management of a Hybrid Industrial Self-Guided Vehicle","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Powertrain; Automotive engineering; Battery (electricity); Energy management; Acceleration; Sizing; Driving cycle; Battery pack; Context (archaeology); Computer science; Engineering; Energy (signal processing); Power (physics); Simulation; Electric vehicle; Chemistry","score_opus":0.07666753330542754,"score_gpt":0.27749373895522966,"score_spread":0.20082620564980214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088901647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818459,0.00020056621,0.0159759,0.00003278828,0.000010186233,0.000020544678,0.00006908965,0.00013674442,0.0017082004],"genre_scores_gemma":[0.9990871,0.00003213424,0.0005864421,0.00000514265,6.77419e-7,0.0000049356304,0.000035854933,0.000008738621,0.00023896006],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998406,0.000022983962,0.000009179878,0.000033748558,0.000059254577,0.00003416683],"domain_scores_gemma":[0.9996897,0.00013444187,0.000033040225,0.000031873657,0.00009681176,0.000014247115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002809308,0.00040510896,0.00025161536,0.00030218586,0.00023466907,0.00043998696,0.0003884231,0.00028394672,0.0006578276],"category_scores_gemma":[0.00066500483,0.00013889032,0.00025287966,0.00015675201,0.0002428211,0.0006171633,0.0002541014,0.00022179776,0.00015108717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013002583,0.00026423557,0.039816793,0.00043845468,0.00011987232,0.00067578664,0.0002657828,0.6585448,0.19265397,0.0006784438,0.0006411388,0.1046005],"study_design_scores_gemma":[0.000037675934,0.0024506953,0.079921246,0.0000426499,0.00018192074,0.0006118853,0.000754001,0.6682339,0.24334241,0.0009840382,0.0033896572,0.00004990817],"about_ca_topic_score_codex":0.0019146738,"about_ca_topic_score_gemma":0.0028698551,"teacher_disagreement_score":0.0019146738,"about_ca_system_score_codex":0.00039798385,"about_ca_system_score_gemma":0.00019073568,"threshold_uncertainty_score":0.0038070679},"labels":[],"label_agreement":null},{"id":"W3089572627","doi":"10.1109/tte.2020.3026962","title":"A Reduced-Order Electrochemical Model for All-Solid-State Batteries","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Science Foundation of Chongqing; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Battery (electricity); Voltage; Laplace transform; Reduction (mathematics); Applied mathematics; Electrochemistry; Series (stratigraphy); Electrolyte; Computer science; Materials science; Mathematics; Electrode; Thermodynamics; Electrical engineering; Mathematical analysis; Chemistry; Physics; Engineering","score_opus":0.027301328684078315,"score_gpt":0.28227422155944554,"score_spread":0.25497289287536723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3089572627","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022148438,0.0015076384,0.9490552,0.00046601237,0.0001970398,0.00014528222,0.0006856562,0.00088487513,0.024909947],"genre_scores_gemma":[0.82823855,0.004048677,0.120047405,0.0004323156,0.00016747156,0.00097533903,0.001457152,0.00030883067,0.044324208],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997956,0.000030207117,0.000014884318,0.000039151204,0.00010020176,0.000019854551],"domain_scores_gemma":[0.99984074,0.000051614497,0.000016286622,0.000025575577,0.000057357127,0.00000837272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025752693,0.0008045607,0.0010016188,0.00050269073,0.00050583616,0.0010022164,0.0019157686,0.0014352608,0.0034107217],"category_scores_gemma":[0.0006177821,0.00039560816,0.0014316754,0.0006137371,0.00038872758,0.0014186017,0.0006862427,0.0012463952,0.0013326532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004397731,0.000053293606,0.00037913,0.00023959207,0.000029981085,0.00023071971,0.000118995275,0.94216293,0.014280293,0.025692372,0.0015147162,0.015254146],"study_design_scores_gemma":[0.0000038808394,0.000008049427,0.00003497796,0.0000033894926,0.000004121939,0.000018615527,0.000005035329,0.9962632,0.0006799365,0.0017023811,0.001271614,0.0000048427987],"about_ca_topic_score_codex":0.006025249,"about_ca_topic_score_gemma":0.004033127,"teacher_disagreement_score":0.006025249,"about_ca_system_score_codex":0.0007195213,"about_ca_system_score_gemma":0.00095408835,"threshold_uncertainty_score":0.011980355},"labels":[],"label_agreement":null},{"id":"W3091746803","doi":"10.1109/tpel.2020.3027561","title":"A Control-Oriented Electrothermal Model for Pouch-Type Electric Vehicle Batteries","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"National Natural Science Foundation of China","keywords":"Battery (electricity); Heat generation; Automotive engineering; Parameterized complexity; Electric vehicle; Control theory (sociology); Thermal; Particle swarm optimization; Lithium iron phosphate; Simulation; Mechanics; Computer science; Mechanical engineering; Materials science; Electrical engineering; Engineering; Physics; Algorithm; Thermodynamics; Control (management)","score_opus":0.01351414383368301,"score_gpt":0.24468625412464604,"score_spread":0.23117211029096302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091746803","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055817116,0.00048593196,0.921153,0.00019559027,0.00009718027,0.00010126856,0.00026356443,0.000423056,0.021463318],"genre_scores_gemma":[0.96191424,0.0005315559,0.021577962,0.00010090391,0.000031399984,0.00032114267,0.00025218987,0.0000760241,0.015194595],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999894,0.00001949889,0.000004875415,0.000024815945,0.000043473457,0.000013296553],"domain_scores_gemma":[0.99991405,0.000030698215,0.000012530366,0.000008949217,0.000028695698,0.0000050985946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015513199,0.0005400497,0.0005592624,0.00026269275,0.00035479892,0.0007687521,0.0009372012,0.0009084836,0.0019035129],"category_scores_gemma":[0.00033892968,0.00026564003,0.000587811,0.00035205562,0.0005189374,0.00075638783,0.0005073942,0.00053157425,0.0003807957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014699166,0.0000128890015,0.00017581,0.000028114366,0.0000064078863,0.00004826966,0.000022297698,0.9913668,0.0028001063,0.0027346131,0.00016707317,0.0026228537],"study_design_scores_gemma":[0.0000039081797,0.000010114701,0.000058737223,0.0000021770559,0.0000034048564,0.000010192369,0.0000048329994,0.99849296,0.00037492948,0.0005455065,0.0004902292,0.000002909211],"about_ca_topic_score_codex":0.0047860984,"about_ca_topic_score_gemma":0.0027972455,"teacher_disagreement_score":0.0047860984,"about_ca_system_score_codex":0.0003479744,"about_ca_system_score_gemma":0.0006381469,"threshold_uncertainty_score":0.009516478},"labels":[],"label_agreement":null},{"id":"W3091834288","doi":"10.23919/epe20ecceeurope43536.2020.9215704","title":"A Symmetrical Boost Converter with Reduced Common-Mode Leakage Currents for EV Applications","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Galvanic isolation; Converters; Transformer; Common-mode signal; Leakage (economics); Electrical engineering; Electronic engineering; Isolation transformer; Boost converter; Engineering; Computer science; Topology (electrical circuits); Voltage","score_opus":0.03201069398251169,"score_gpt":0.3070675039863124,"score_spread":0.27505681000380067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091834288","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08914434,0.0008084252,0.8669127,0.00027686014,0.00024573453,0.00019936507,0.00019050925,0.0023759115,0.03984619],"genre_scores_gemma":[0.9589146,0.0003594251,0.03531936,0.00014348395,0.000039912968,0.000062733794,0.000097128235,0.0000657595,0.004997562],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998423,0.000025234009,0.000008219892,0.000023472014,0.00007948056,0.000021276379],"domain_scores_gemma":[0.9998865,0.000018910332,0.000012640151,0.000018022007,0.000055134984,0.00000877123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024854578,0.00039452975,0.00040850765,0.0003018884,0.000296714,0.0008523283,0.0006153537,0.0004165241,0.004165034],"category_scores_gemma":[0.00026849564,0.00014568215,0.00041472807,0.0003366521,0.00022297818,0.00059229287,0.00019409579,0.00062212284,0.001750986],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008076329,0.00034988084,0.0021834264,0.0013127327,0.00013178882,0.001053702,0.00039771132,0.044735234,0.60650367,0.045250922,0.00657201,0.29070133],"study_design_scores_gemma":[0.00023607112,0.0020579507,0.005445549,0.00028954065,0.00025121038,0.0057612164,0.00020730245,0.4380847,0.45595327,0.028767992,0.06282728,0.000117987445],"about_ca_topic_score_codex":0.00041670376,"about_ca_topic_score_gemma":0.00043566004,"teacher_disagreement_score":0.004165034,"about_ca_system_score_codex":0.00028556885,"about_ca_system_score_gemma":0.00044606611,"threshold_uncertainty_score":0.01393342},"labels":[],"label_agreement":null},{"id":"W3091884170","doi":"10.1109/tie.2020.3028815","title":"Design and Implementation of Novel Noninverting Buck–Boost AC–AC Converter for DVR Applications","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Ministry of Science and ICT, South Korea; National Research Foundation","keywords":"Commutation; Diode; Buck converter; Computer science; Voltage; Buck–boost converter; Transistor; Inductor; Converters; Electronic engineering; Electrical engineering; Control theory (sociology); Engineering; Control (management)","score_opus":0.06491662120692175,"score_gpt":0.3057160746709914,"score_spread":0.2407994534640696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091884170","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036868475,0.0019096821,0.9270529,0.00030548702,0.0003617391,0.00034324106,0.0001621792,0.0024068481,0.030589433],"genre_scores_gemma":[0.7575563,0.0013590235,0.22029847,0.0002354279,0.00021439184,0.00025566886,0.0002717044,0.00010642,0.019702578],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997999,0.00001647829,0.000014397218,0.00004359537,0.000106232415,0.000019397477],"domain_scores_gemma":[0.9998901,0.000009544451,0.000009812514,0.000012828602,0.00006945581,0.0000082662755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014504179,0.0003396591,0.0003431169,0.00033860476,0.00032897858,0.000611913,0.0010346846,0.00040230263,0.003777977],"category_scores_gemma":[0.00014721262,0.00019327473,0.00024857683,0.0002795375,0.00012395167,0.0005100418,0.00018486669,0.0003827742,0.0011999678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022691817,0.0001831771,0.0009938187,0.00088624755,0.00007132953,0.0005741613,0.0002136714,0.011459331,0.57259834,0.012511198,0.005655636,0.39462617],"study_design_scores_gemma":[0.00018560275,0.0013714383,0.003972321,0.00013513761,0.00015790075,0.0040263175,0.00017002363,0.4179085,0.41410094,0.0046262043,0.15324683,0.00009875872],"about_ca_topic_score_codex":0.00047679667,"about_ca_topic_score_gemma":0.0007969657,"teacher_disagreement_score":0.003777977,"about_ca_system_score_codex":0.00023912123,"about_ca_system_score_gemma":0.0003531264,"threshold_uncertainty_score":0.0126386285},"labels":[],"label_agreement":null},{"id":"W3092212136","doi":"10.1016/j.egyai.2020.100032","title":"A modeling and experimental study of capacity fade for lithium-ion batteries","year":2020,"lang":"en","type":"article","venue":"Energy and AI","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fade; Battery (electricity); Capacity loss; Lithium-ion battery; Depth of discharge; Electrolyte; Charge cycle; Degradation (telecommunications); Electrode; Lithium (medication); Materials science; Automotive engineering; Trickle charging; Electrical engineering; Nuclear engineering; Computer science; Engineering; Chemistry; Power (physics); Thermodynamics; Medicine; Physics","score_opus":0.03381902245445122,"score_gpt":0.27220113707744054,"score_spread":0.2383821146229893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092212136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9004808,0.0018779973,0.08681495,0.0003102769,0.000052154748,0.00015584125,0.0008057924,0.00076051964,0.008741714],"genre_scores_gemma":[0.99545765,0.00041923995,0.0028896553,0.000011984073,0.0000041746407,0.000055644156,0.0001347504,0.000012637645,0.0010143948],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998043,0.000021331605,0.000010641291,0.00004368079,0.000097169,0.000022945394],"domain_scores_gemma":[0.9995759,0.00018229068,0.000049875816,0.000053658157,0.00012887486,0.00000933715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004018961,0.00067348446,0.00061542465,0.0003573302,0.000300036,0.00039632502,0.0009989119,0.0007415299,0.00092243945],"category_scores_gemma":[0.0010671492,0.00021854733,0.00047985197,0.00035161639,0.00042509,0.00097509206,0.00022583756,0.00048323718,0.00018243253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003683583,0.00028287366,0.0055765472,0.0006295498,0.0000344045,0.00044886593,0.0002400794,0.79563093,0.16950046,0.0032046314,0.00063401135,0.023449369],"study_design_scores_gemma":[0.000007205404,0.00014870283,0.0011326441,0.000009201554,0.000009224522,0.00004200449,0.00002139858,0.9630507,0.03467287,0.00033606536,0.0005581679,0.000011799941],"about_ca_topic_score_codex":0.0061351927,"about_ca_topic_score_gemma":0.0024247377,"teacher_disagreement_score":0.0061351927,"about_ca_system_score_codex":0.00087762123,"about_ca_system_score_gemma":0.0004590376,"threshold_uncertainty_score":0.012198985},"labels":[],"label_agreement":null},{"id":"W3092917246","doi":"10.3390/wevj11040066","title":"A Review of Battery State of Health Estimation Methods: Hybrid Electric Vehicle Challenges","year":2020,"lang":"en","type":"review","venue":"World Electric Vehicle Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":248,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Canada Research Chairs; Agence Nationale de la Recherche","keywords":"State of health; Battery (electricity); Automotive industry; Automotive engineering; Computer science; Electric vehicle; Reliability engineering; State of charge; Engineering; Control engineering; Power (physics)","score_opus":0.06231514186595657,"score_gpt":0.3842177961217563,"score_spread":0.3219026542557998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092917246","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00034165083,0.9949793,0.0024939456,0.00022559687,0.000309997,0.000013889232,0.000049347756,0.000020284037,0.001565955],"genre_scores_gemma":[0.003180214,0.9929554,0.001965265,0.00018397058,0.00039489023,0.000022364846,0.0001096511,0.000009417411,0.001178775],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994541,0.00007341067,0.00009762121,0.00012890388,0.00021664059,0.000029475244],"domain_scores_gemma":[0.9982816,0.0009420088,0.0001221939,0.000050696497,0.0005615234,0.00004186933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012512506,0.0011102902,0.0016227638,0.0028422733,0.00029051048,0.0011527269,0.0013658194,0.0013417975,0.0031282369],"category_scores_gemma":[0.002259514,0.00066981436,0.00095292,0.0034906468,0.0004143617,0.002208767,0.00061070995,0.001004048,0.0017656955],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007474645,0.00007072015,0.00044793545,0.02528413,0.0001472316,0.00013681156,0.000076479395,0.0017970836,0.0020501732,0.005380744,0.017165923,0.94736797],"study_design_scores_gemma":[0.000014845329,0.00030014012,0.0018146257,0.008449416,0.0004846273,0.001362846,0.00015951377,0.0022708166,0.003075235,0.0038515865,0.97811615,0.00010012215],"about_ca_topic_score_codex":0.0018553027,"about_ca_topic_score_gemma":0.0016405352,"teacher_disagreement_score":0.0031282369,"about_ca_system_score_codex":0.00051158696,"about_ca_system_score_gemma":0.0011478923,"threshold_uncertainty_score":0.010464966},"labels":[],"label_agreement":null},{"id":"W3094099748","doi":"10.1109/tvt.2020.3032989","title":"An MPC-Based Control Strategy for Electric Vehicle Battery Cooling Considering Energy Saving and Battery Lifespan","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":119,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"State Key Laboratory of Automotive Safety and Energy; National Natural Science Foundation of China","keywords":"Battery (electricity); Battery pack; Model predictive control; Driving cycle; Controller (irrigation); Electric vehicle; Engineering; Automotive engineering; Control theory (sociology); Electric-vehicle battery; Computer science; Control (management)","score_opus":0.01810334609703727,"score_gpt":0.2471748422609148,"score_spread":0.22907149616387754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094099748","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.104450405,0.000770582,0.87284386,0.0003070166,0.00015462666,0.000115640614,0.0000739855,0.0010006577,0.020283272],"genre_scores_gemma":[0.9894455,0.00012921264,0.007033754,0.000044416593,0.000021264357,0.0000620908,0.00003958247,0.000017015851,0.0032071867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982625,0.000022354498,0.000007459978,0.000050282946,0.000055576995,0.000038053273],"domain_scores_gemma":[0.9998698,0.00002616405,0.000024978463,0.000008413184,0.00006077456,0.00000972416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002916844,0.0008105244,0.00058162276,0.000295355,0.0004071939,0.00068936154,0.00072388735,0.00041867673,0.0011841479],"category_scores_gemma":[0.00041417356,0.00024872026,0.000381291,0.00028716112,0.00033473558,0.00043644462,0.0004987329,0.0005313225,0.00018802228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014991892,0.00007558172,0.000606431,0.0001251638,0.000039955146,0.00011968056,0.0000844386,0.93245393,0.009860624,0.0029924994,0.001248683,0.05224308],"study_design_scores_gemma":[0.000014290911,0.00008036665,0.0002850827,0.000006986954,0.000015202893,0.00001733166,0.000012412087,0.99687105,0.0015215339,0.00058449607,0.00058530766,0.0000058178325],"about_ca_topic_score_codex":0.0104414,"about_ca_topic_score_gemma":0.0072378465,"teacher_disagreement_score":0.0104414,"about_ca_system_score_codex":0.0005193425,"about_ca_system_score_gemma":0.0008526784,"threshold_uncertainty_score":0.020761251},"labels":[],"label_agreement":null},{"id":"W3094320978","doi":"10.1109/tte.2020.3032737","title":"A Two-Step Parameter Optimization Method for Low-Order Model-Based State-of-Charge Estimation","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":126,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"China Scholarship Council","keywords":"State of charge; Particle swarm optimization; Computer science; Estimator; Extended Kalman filter; Kalman filter; Algorithm; Mathematical optimization; Artificial intelligence; Mathematics; Battery (electricity)","score_opus":0.02203272924940047,"score_gpt":0.2937536929188917,"score_spread":0.2717209636694912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094320978","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002591249,0.000092739305,0.99611264,0.000029929663,0.000015559795,0.000017696517,0.000015437916,0.00024712444,0.0008776371],"genre_scores_gemma":[0.5024889,0.00044512525,0.49117,0.000107922824,0.000061945204,0.0004232052,0.00030767816,0.00022947558,0.004765774],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976283,0.000053579617,0.000018852714,0.00005902184,0.00008481672,0.00002091324],"domain_scores_gemma":[0.9997061,0.00013238243,0.00003721589,0.000028675478,0.00008637652,0.000009221336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047743865,0.00095100084,0.0008642684,0.00048553656,0.00039672854,0.00067755673,0.00063374237,0.0007744886,0.001970979],"category_scores_gemma":[0.0015601357,0.0005239515,0.0007823261,0.0004125147,0.00035872005,0.0006641333,0.00060907006,0.0011425051,0.000600705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056245415,0.000047581605,0.00055078446,0.00014692117,0.000053092048,0.00005925112,0.00008097687,0.8670997,0.0077319904,0.0052157743,0.0011307013,0.11782698],"study_design_scores_gemma":[0.0000036499484,0.000012052489,0.000091182774,0.0000039602965,0.0000045320835,0.000011352593,0.0000029468451,0.9983575,0.00069000927,0.00035786335,0.00046044285,0.0000044495864],"about_ca_topic_score_codex":0.0064815287,"about_ca_topic_score_gemma":0.005337863,"teacher_disagreement_score":0.0064815287,"about_ca_system_score_codex":0.00039342686,"about_ca_system_score_gemma":0.0009760295,"threshold_uncertainty_score":0.012887597},"labels":[],"label_agreement":null},{"id":"W3095371263","doi":"10.18280/jesa.530403","title":"An Electric Spring Control Strategy Based on Finite Control Set-Model Predictive Control","year":2020,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Henan Polytechnic University","keywords":"Model predictive control; Control theory (sociology); DSPACE; Pulse-width modulation; MATLAB; Computer science; Nonlinear system; Voltage; Control system; Engineering; Control (management); Control engineering","score_opus":0.020386875946324635,"score_gpt":0.2605903387560473,"score_spread":0.24020346280972268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095371263","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023258485,0.00029471578,0.9638587,0.0001799499,0.0001643646,0.00007566278,0.000030832103,0.00089264126,0.011244676],"genre_scores_gemma":[0.9585674,0.00018869826,0.034909718,0.000081079284,0.000045354747,0.00011308801,0.000051577495,0.000030543502,0.006012581],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997707,0.000037336755,0.000013778141,0.000054614877,0.000097413096,0.000026158215],"domain_scores_gemma":[0.9998149,0.00006414436,0.000031717173,0.000017530258,0.000057661564,0.000014009569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033072828,0.0006327946,0.00060156005,0.0004476061,0.0006168913,0.00072249305,0.0010081384,0.00051206944,0.0023489113],"category_scores_gemma":[0.0004771549,0.00021634452,0.00044129224,0.00033930034,0.0005445861,0.00065315136,0.0006209038,0.0006068043,0.00026912894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033317256,0.00017526663,0.0005565597,0.00030233467,0.000094739255,0.0003658056,0.00024787162,0.7258338,0.038291395,0.027348548,0.003585545,0.20286499],"study_design_scores_gemma":[0.000022314252,0.00010022543,0.00012595134,0.000007880776,0.000012932382,0.000032663414,0.000009195908,0.9937988,0.0027311458,0.0015130097,0.0016350971,0.000010763899],"about_ca_topic_score_codex":0.004701055,"about_ca_topic_score_gemma":0.0046431925,"teacher_disagreement_score":0.004701055,"about_ca_system_score_codex":0.00040128414,"about_ca_system_score_gemma":0.0005778031,"threshold_uncertainty_score":0.009347379},"labels":[],"label_agreement":null},{"id":"W3095729178","doi":"10.1016/j.rser.2020.110480","title":"Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends","year":2020,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":390,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"National Natural Science Foundation of China","keywords":"Battery (electricity); Interconnectivity; Systems engineering; Electrochemical energy storage; Computer science; Lithium-ion battery; Energy management; Energy storage; Management system; Renewable energy; Reliability engineering; Risk analysis (engineering); Engineering; Energy (signal processing); Supercapacitor; Electrical engineering; Operations management; Artificial intelligence","score_opus":0.042036213771775556,"score_gpt":0.3215746497709589,"score_spread":0.2795384359991833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095729178","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028296528,0.80543816,0.11830673,0.0062226253,0.0020627307,0.00012199062,0.00024973528,0.0004400032,0.03886139],"genre_scores_gemma":[0.19484185,0.7153966,0.062461037,0.0016132297,0.0011353585,0.00021330884,0.0003771295,0.00015814394,0.02380339],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997178,0.00002689036,0.000021354874,0.000035214412,0.00015586599,0.00004289018],"domain_scores_gemma":[0.9997148,0.000071746676,0.000030846706,0.000020998888,0.00014240947,0.000019149815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073095463,0.0007351142,0.0008415066,0.0007667606,0.00032593295,0.0025935103,0.0011859913,0.0011948968,0.0029981448],"category_scores_gemma":[0.00076043326,0.00039361892,0.0005115031,0.00096631225,0.00047082527,0.005330352,0.0011071117,0.0013269212,0.0012365562],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018190606,0.0001852564,0.00090456073,0.008641629,0.00016769514,0.00022753768,0.0002632482,0.012664234,0.13657244,0.121016316,0.018332852,0.70084244],"study_design_scores_gemma":[0.00005891635,0.0007020141,0.001288029,0.0019537304,0.00034597094,0.0013626072,0.00043512872,0.041708667,0.10451912,0.10185533,0.7456568,0.000113780734],"about_ca_topic_score_codex":0.00056489435,"about_ca_topic_score_gemma":0.0010410427,"teacher_disagreement_score":0.0029981448,"about_ca_system_score_codex":0.0008201329,"about_ca_system_score_gemma":0.0007708663,"threshold_uncertainty_score":0.010029793},"labels":[],"label_agreement":null},{"id":"W3096708827","doi":"10.1109/ecce44975.2020.9235944","title":"A Novel Multipurpose V2G &amp; G2V Power Electronics Interface for Electric Vehicles","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Plug-in; Vehicle-to-grid; Computer science; Grid; Interface (matter); Power electronics; Controller (irrigation); Electric vehicle; Automotive engineering; Plug and play; Power (physics); Electrical engineering; Topology (electrical circuits); Engineering; Voltage; Physics; Operating system","score_opus":0.029383282409777476,"score_gpt":0.2869700952000432,"score_spread":0.2575868127902657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096708827","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03665842,0.0010596415,0.9399004,0.00016113392,0.00016717512,0.00015740006,0.00009026441,0.0023903984,0.019415144],"genre_scores_gemma":[0.90751827,0.0005939427,0.07710502,0.00022176796,0.00009245387,0.00010285999,0.00018013897,0.000086077256,0.014099488],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998473,0.000023266559,0.000007734117,0.0000291997,0.00007905113,0.000013426489],"domain_scores_gemma":[0.999936,0.0000115546045,0.000007753918,0.00001030989,0.000027800388,0.000006648458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012248967,0.0003884923,0.0002507023,0.00038262643,0.00020688474,0.00072864705,0.00094480807,0.00061315123,0.0030969547],"category_scores_gemma":[0.0001754064,0.00013227499,0.00020705308,0.00027927748,0.0001867085,0.00080494647,0.0003021418,0.00042729586,0.0010082403],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046031555,0.00026530604,0.002988045,0.00070183916,0.00010665594,0.0014778147,0.0003710437,0.03169986,0.42007652,0.056279305,0.011509355,0.474064],"study_design_scores_gemma":[0.0001100477,0.0024945976,0.0047783377,0.00011833923,0.00014401051,0.004494924,0.00026754895,0.52836835,0.2009395,0.010214613,0.24795493,0.00011489493],"about_ca_topic_score_codex":0.00020809371,"about_ca_topic_score_gemma":0.00032097445,"teacher_disagreement_score":0.0030969547,"about_ca_system_score_codex":0.00020266806,"about_ca_system_score_gemma":0.0001202926,"threshold_uncertainty_score":0.01036036},"labels":[],"label_agreement":null},{"id":"W3096864110","doi":"10.1109/ecce44975.2020.9235606","title":"A Manitoba Converter based Bi-directional On-board charger for Plug-in Electric Vehicles","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"Research Manitoba","keywords":"Galvanic isolation; Battery charger; Electrical engineering; Transformer; Battery (electricity); Computer science; Grid; Electric vehicle; Battery pack; Voltage; Inverter; Topology (electrical circuits); Engineering; Automotive engineering; Power (physics)","score_opus":0.027963826827969916,"score_gpt":0.25161507305343955,"score_spread":0.22365124622546964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3096864110","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3929893,0.0020975452,0.40877697,0.0005605007,0.0005469893,0.0008577897,0.0008194069,0.0097395545,0.18361197],"genre_scores_gemma":[0.90400803,0.0005348564,0.03276396,0.0001452667,0.000036444042,0.000096819356,0.00046295262,0.00013252303,0.061819214],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998778,0.000013860965,0.0000053116646,0.000025746243,0.00006266569,0.000014487179],"domain_scores_gemma":[0.99993503,0.0000043267046,0.0000055506894,0.000010767806,0.00003736694,0.0000069193575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000118972406,0.00034853994,0.0002831268,0.00037437922,0.00041640498,0.0007104503,0.0009125911,0.00023640796,0.0071773883],"category_scores_gemma":[0.00012123168,0.00018258166,0.0001884437,0.00046119178,0.00013403232,0.00042120717,0.00030854717,0.00042391891,0.0023445808],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006960968,0.0004822816,0.005875082,0.00062987284,0.000101270816,0.001004509,0.0003546334,0.0067800684,0.59907556,0.012022578,0.01778281,0.35519525],"study_design_scores_gemma":[0.0002524866,0.0016414246,0.01726484,0.00012878462,0.00023652085,0.005736669,0.00031266417,0.126261,0.5302214,0.0020651328,0.31574246,0.00013664257],"about_ca_topic_score_codex":0.0043310598,"about_ca_topic_score_gemma":0.010867115,"teacher_disagreement_score":0.0071773883,"about_ca_system_score_codex":0.0004926339,"about_ca_system_score_gemma":0.00062762696,"threshold_uncertainty_score":0.024010718},"labels":[],"label_agreement":null},{"id":"W3097199297","doi":"10.1109/ecce44975.2020.9235380","title":"A Rule Based EMS for Fast Charging Station with CHIL Implementation","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Energy management system; Grid; Computer science; Energy management; Distributed generation; Sizing; Controller (irrigation); Automotive engineering; Engineering; Electrical engineering; Energy (signal processing); Renewable energy","score_opus":0.023394330697119874,"score_gpt":0.2960612124005705,"score_spread":0.2726668817034506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097199297","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038189042,0.000110117886,0.9381859,0.00017561548,0.00013811639,0.00046301223,0.00015725175,0.0073590525,0.015221954],"genre_scores_gemma":[0.8327796,0.00006753527,0.15847945,0.00015400823,0.000034130426,0.0002865475,0.00014830529,0.00013331823,0.007917121],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994087,0.0000917142,0.000044062403,0.00014750283,0.00024145182,0.000066488225],"domain_scores_gemma":[0.9993813,0.00012954109,0.000060117778,0.00014567697,0.00024835946,0.00003488121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005593488,0.0003962755,0.00037730075,0.00026931503,0.00034832038,0.0012860849,0.0011280854,0.00068157277,0.006004691],"category_scores_gemma":[0.00092644175,0.00021579565,0.00036103444,0.00011213322,0.0003352312,0.00039808723,0.00042236754,0.000860234,0.0015516919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008536863,0.00075253675,0.0023002932,0.00050820457,0.0001326873,0.00086557237,0.00042237606,0.41946647,0.21514538,0.024896204,0.0062547387,0.32840177],"study_design_scores_gemma":[0.00010992304,0.0004844661,0.00078263984,0.000027761642,0.00003976,0.00022835046,0.000034009892,0.9180835,0.06514664,0.0020088165,0.013024091,0.000030059575],"about_ca_topic_score_codex":0.0024687874,"about_ca_topic_score_gemma":0.0024001158,"teacher_disagreement_score":0.006004691,"about_ca_system_score_codex":0.00042851124,"about_ca_system_score_gemma":0.0008003467,"threshold_uncertainty_score":0.020087719},"labels":[],"label_agreement":null},{"id":"W3097613535","doi":"10.4271/2021-01-0760","title":"Electrochemical Analysis of High Capacity Li-Ion Pouch Cell for Automotive Applications","year":2021,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Pouch; Automotive industry; Electrochemistry; Chemistry; Computer science; Materials science; Electrode; Engineering; Aerospace engineering; Medicine","score_opus":0.011760115171075777,"score_gpt":0.2554359726818615,"score_spread":0.24367585751078574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097613535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928301,0.0016030539,0.0033352477,0.00009283486,0.00005434959,0.000034657514,0.0005602162,0.00007522471,0.0014143435],"genre_scores_gemma":[0.99567515,0.00048686285,0.0010806425,0.00004137699,0.0000096579015,0.000020948548,0.00032393605,0.000012186583,0.002349198],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999859,0.0000099106355,0.000009436542,0.000026829679,0.000070801885,0.000024018245],"domain_scores_gemma":[0.9999081,0.000024763385,0.0000051272064,0.000009505807,0.000042913034,0.000009544095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017582452,0.00023727711,0.00032091752,0.00058272644,0.00036447728,0.00052544655,0.000564158,0.00067822146,0.0026611872],"category_scores_gemma":[0.000288735,0.00012873297,0.0002756623,0.0004594434,0.00016715711,0.0005818254,0.00019552847,0.00034655197,0.0004588578],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026110935,0.000048318434,0.001213225,0.0000995389,0.000016215254,0.00012484904,0.00006018008,0.00022148844,0.99032545,0.000117899035,0.00015680888,0.007354933],"study_design_scores_gemma":[0.000011637737,0.00028856067,0.0066418312,0.000008152204,0.000024978262,0.00017365704,0.00011626716,0.0025965483,0.98853827,0.00007143849,0.0015177805,0.0000108619215],"about_ca_topic_score_codex":0.001157859,"about_ca_topic_score_gemma":0.0014472834,"teacher_disagreement_score":0.0026611872,"about_ca_system_score_codex":0.0001784463,"about_ca_system_score_gemma":0.00025503366,"threshold_uncertainty_score":0.008902609},"labels":[],"label_agreement":null},{"id":"W3097686127","doi":"10.1109/ecce44975.2020.9235459","title":"Stand-Alone Wind Power System with Improved Light-Power Efficiency","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Power (physics); Buck converter; Computer science; Boost converter; Electrical engineering; Voltage; Buck–boost converter; Wind power; Battery (electricity); Turbine; Battery charger; Electronic engineering; Engineering; Physics; Mechanical engineering","score_opus":0.008294383394801288,"score_gpt":0.2144281349841827,"score_spread":0.2061337515893814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097686127","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2942288,0.0019551602,0.676522,0.0001614192,0.00026369165,0.00021616805,0.0001801294,0.0026543688,0.023818165],"genre_scores_gemma":[0.92451847,0.00058610673,0.06242268,0.00008103401,0.00006633354,0.00008158814,0.0002514405,0.00006981,0.011922525],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990606,0.000007855207,0.0000087450335,0.000017769738,0.000049287333,0.000010324155],"domain_scores_gemma":[0.9999366,0.0000076207325,0.0000062589784,0.000008442747,0.00003469173,0.0000063573793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009945774,0.00027677364,0.00049147796,0.00026390803,0.00023600661,0.000502979,0.00055900053,0.00026574006,0.0014159508],"category_scores_gemma":[0.00008978844,0.00013149554,0.00017239657,0.00027164238,0.000112325215,0.0006580374,0.00017785653,0.0003744674,0.00073761627],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036498022,0.00020702588,0.0015874824,0.0005111636,0.00006824365,0.0006901159,0.0001565658,0.009777332,0.7284266,0.005707861,0.0018461733,0.25065646],"study_design_scores_gemma":[0.0002671679,0.0019212695,0.008362404,0.000078734854,0.00021100079,0.003354219,0.00014687727,0.38891476,0.5329186,0.004153371,0.059577882,0.00009381454],"about_ca_topic_score_codex":0.00021991604,"about_ca_topic_score_gemma":0.0006555382,"teacher_disagreement_score":0.0014159508,"about_ca_system_score_codex":0.000114167444,"about_ca_system_score_gemma":0.00019706115,"threshold_uncertainty_score":0.004736781},"labels":[],"label_agreement":null},{"id":"W3097980488","doi":"10.1109/iecon43393.2020.9254880","title":"Li-ion Battery Models and A Simplified Online Technique to Identify Parameters of Electric Equivalent Circuit Model for EV Applications","year":2020,"lang":"en","type":"article","venue":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Battery (electricity); Equivalent circuit; Particle swarm optimization; Identification (biology); Computer science; Dimension (graph theory); State of charge; Voltage; Algorithm; Engineering; Electrical engineering; Mathematics; Power (physics); Physics","score_opus":0.13087707467888943,"score_gpt":0.3223013686060278,"score_spread":0.1914242939271384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097980488","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004092378,0.00018814026,0.9918023,0.000052394298,0.000034710003,0.00003398137,0.000082224535,0.00092685485,0.0027871553],"genre_scores_gemma":[0.6091255,0.0012718725,0.36770165,0.00016697924,0.00007087946,0.00043594316,0.0012335907,0.00030216807,0.019691534],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998615,0.0000256511,0.0000105311565,0.000031172032,0.00006373392,0.0000073891156],"domain_scores_gemma":[0.99984705,0.000036510897,0.00002266501,0.000044339933,0.000045468976,0.0000040347395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014967746,0.00082563976,0.00046650885,0.0003758343,0.00017443985,0.0005930479,0.00091799675,0.0007795492,0.0040212674],"category_scores_gemma":[0.00068376947,0.00027277728,0.00058418594,0.00031961044,0.00017920336,0.0011855587,0.000379859,0.00085769634,0.0016754749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012014215,0.00013720809,0.0016554551,0.00078869215,0.000094749856,0.00026029104,0.00017755436,0.5469454,0.09154078,0.014458121,0.004182035,0.33963954],"study_design_scores_gemma":[0.000009591458,0.00007086384,0.0006910946,0.000021791275,0.000021883823,0.00022503351,0.000027041066,0.9741691,0.010836623,0.0026464385,0.011262599,0.00001793281],"about_ca_topic_score_codex":0.0020166421,"about_ca_topic_score_gemma":0.0028080589,"teacher_disagreement_score":0.0040212674,"about_ca_system_score_codex":0.00020463817,"about_ca_system_score_gemma":0.0003794171,"threshold_uncertainty_score":0.01345247},"labels":[],"label_agreement":null},{"id":"W3099634359","doi":"","title":"","year":2017,"lang":"en","type":"article","venue":"Oxford University Research Archive (ORA) (University of Oxford)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; General Motors of Canada","keywords":"Materials science; Microscale chemistry; Electrode; Composite material; Anode; Particle (ecology); Electrolyte; Delamination (geology); Half-cell; Finite element method; Mechanics; Working electrode; Chemistry; Structural engineering","score_opus":0.03279846993441557,"score_gpt":0.2692932550542191,"score_spread":0.2364947851198035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3099634359","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024857944,0.0016638986,0.868319,0.00085017993,0.0006585344,0.00017520694,0.0010771533,0.0011450998,0.101252995],"genre_scores_gemma":[0.5374161,0.0042122994,0.27972513,0.0009150245,0.00062697683,0.0006611928,0.0035295696,0.00096605584,0.1719476],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998004,0.00003876219,0.000011033978,0.000059174145,0.00006410748,0.000026465603],"domain_scores_gemma":[0.9998647,0.000032759395,0.000017924891,0.000024175984,0.000044214205,0.000016200416],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023536348,0.00068004406,0.0006338016,0.00039446843,0.0004991317,0.0013626971,0.0011408498,0.0014292368,0.018262355],"category_scores_gemma":[0.0007058235,0.0001977331,0.0007771645,0.00045657592,0.0004051663,0.0012035788,0.0010677598,0.0006823949,0.0072904616],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007823086,0.00013438791,0.002051223,0.00034047675,0.000056714074,0.00040486324,0.00013393268,0.7141048,0.010161139,0.16284823,0.011342112,0.0983439],"study_design_scores_gemma":[0.000010567166,0.00007587766,0.00045045163,0.00004025488,0.000015172016,0.00023583145,0.000058353842,0.89455134,0.0026991216,0.0265758,0.075269826,0.000017418823],"about_ca_topic_score_codex":0.0027650346,"about_ca_topic_score_gemma":0.002300387,"teacher_disagreement_score":0.9817377,"about_ca_system_score_codex":0.0004832927,"about_ca_system_score_gemma":0.0007587402,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W3099907449","doi":"","title":"Identifiability of Generalized Randles Circuit Models","year":2016,"lang":"en","type":"article","venue":"Oxford University Research Archive (ORA) (University of Oxford)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"University of Oxford","keywords":"Identifiability; Resistor; Estimation theory; Equivalent circuit; Capacitor; Computer science; Noise (video); Control theory (sociology); Topology (electrical circuits); Mathematics; Algorithm; Engineering; Voltage; Electrical engineering","score_opus":0.038926232281842624,"score_gpt":0.2536601060450283,"score_spread":0.2147338737631857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3099907449","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0614118,0.00014357043,0.9350687,0.00024872224,0.000013183379,0.000036879323,0.00023214101,0.00026554987,0.0025793852],"genre_scores_gemma":[0.93523824,0.00024386686,0.060179967,0.000106542626,0.000030417308,0.00012732962,0.00048790564,0.00007928774,0.0035064823],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99809414,0.0007835426,0.00010612199,0.00054978183,0.00031537056,0.00015092458],"domain_scores_gemma":[0.98920536,0.006791651,0.0012014448,0.0018991851,0.0008108307,0.000091519156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027697918,0.00069997157,0.0012447105,0.0007857438,0.0003197491,0.0012068346,0.0014409607,0.0013983013,0.0024048816],"category_scores_gemma":[0.014781151,0.00052280055,0.00092002074,0.00036365262,0.0017983306,0.0027441408,0.0014574849,0.0015190605,0.0003991912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091284506,0.000027039574,0.0015848135,0.00012406077,0.000059354374,0.00021303797,0.0003522456,0.79195625,0.004637665,0.17232431,0.0007487707,0.027881218],"study_design_scores_gemma":[0.000010998122,0.000032688356,0.0003482956,0.000018218676,0.000009615035,0.00006622806,0.00003609524,0.8971945,0.0011023451,0.10058162,0.00057869515,0.000020714238],"about_ca_topic_score_codex":0.0014178136,"about_ca_topic_score_gemma":0.00135749,"teacher_disagreement_score":0.0027697918,"about_ca_system_score_codex":0.00052711053,"about_ca_system_score_gemma":0.0006603002,"threshold_uncertainty_score":0.014648259},"labels":[],"label_agreement":null},{"id":"W3101646443","doi":"10.1049/iet-est.2020.0035","title":"Online energy management of a hybrid fuel cell vehicle considering the performance variation of the power sources","year":2020,"lang":"en","type":"article","venue":"IET Electrical Systems in Transportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Université du Québec à Trois-Rivières; Q & T Research; Université de Sherbrooke","funders":"","keywords":"Variation (astronomy); Fuel cells; Automotive engineering; Energy management; Power (physics); Hybrid power; Hybrid vehicle; Energy (signal processing); Engineering; Chemical engineering; Physics","score_opus":0.00984420526953719,"score_gpt":0.20654685686646976,"score_spread":0.19670265159693257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3101646443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.714531,0.00030857828,0.2793293,0.00019062114,0.000038501446,0.00004661022,0.00008383833,0.00032683453,0.005144716],"genre_scores_gemma":[0.99876887,0.000019407786,0.0008346198,0.0000052884916,0.0000020114815,0.000005256788,0.000012991629,0.000003900266,0.00034763096],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989474,0.000020871961,0.0000039463366,0.000025303461,0.000028065784,0.000027083244],"domain_scores_gemma":[0.99984896,0.000062534935,0.000024657269,0.000010370436,0.000043487256,0.00000996069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024939154,0.00056516175,0.00047506185,0.00020926763,0.0002759529,0.00067794946,0.00041178134,0.00046775836,0.00053770776],"category_scores_gemma":[0.00045125384,0.00015378014,0.00021556659,0.00013653093,0.00024115921,0.00054865517,0.00047663716,0.00031327998,0.00009503661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000169339,0.00005301563,0.0015291992,0.000048000344,0.000032997705,0.0002387193,0.00005155026,0.9616376,0.01291217,0.00067633844,0.00018325336,0.022467753],"study_design_scores_gemma":[0.000003936903,0.00005720837,0.0006875927,0.0000016487791,0.000007309902,0.000016546677,0.000023525246,0.9966924,0.002064067,0.00028100304,0.00016112595,0.0000035955884],"about_ca_topic_score_codex":0.0056340625,"about_ca_topic_score_gemma":0.0038922245,"teacher_disagreement_score":0.0056340625,"about_ca_system_score_codex":0.00029181485,"about_ca_system_score_gemma":0.00034492766,"threshold_uncertainty_score":0.011202574},"labels":[],"label_agreement":null},{"id":"W3101692678","doi":"10.1149/1945-7111/abc8c4","title":"Safety of Lithium-Ion Cells and Batteries at Different States-of-Charge","year":2020,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Battery (electricity); Lithium (medication); State of charge; Ion; Energy density; Cathode; Voltage; Electrical impedance; Materials science; Power (physics); Nuclear engineering; Automotive engineering; Chemistry; Electrical engineering; Engineering physics; Engineering; Physics; Thermodynamics","score_opus":0.00966190290057849,"score_gpt":0.22794993589756338,"score_spread":0.21828803299698488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3101692678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9831966,0.004006242,0.005520968,0.00023453723,0.00014012391,0.000050556293,0.001098083,0.000108111286,0.0056447033],"genre_scores_gemma":[0.9928651,0.0014576851,0.0015153986,0.000086936656,0.000020664811,0.0000362066,0.00088051625,0.000022866312,0.003114658],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987124,0.000109992005,0.000118230055,0.000196658,0.0007557496,0.000106943444],"domain_scores_gemma":[0.99815,0.00032162707,0.00030233318,0.00019833246,0.00095817674,0.000069551825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073540007,0.00029212495,0.00043077243,0.0005860961,0.00072979607,0.001282865,0.00057344197,0.0007776142,0.0022490774],"category_scores_gemma":[0.0021257882,0.0001420869,0.00041738,0.0007140835,0.00051081314,0.0012269304,0.00062197703,0.00048385802,0.000725343],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012630393,0.00020752358,0.0371815,0.00076156855,0.0000981095,0.0007234627,0.0009546713,0.0039588935,0.86256635,0.0020339245,0.00139034,0.08886071],"study_design_scores_gemma":[0.000013986698,0.0017882965,0.030514466,0.00009456499,0.00008244015,0.0009299929,0.001232166,0.0039698356,0.94515055,0.0012180966,0.014927287,0.0000783203],"about_ca_topic_score_codex":0.0009353377,"about_ca_topic_score_gemma":0.00097278436,"teacher_disagreement_score":0.0022490774,"about_ca_system_score_codex":0.00055415975,"about_ca_system_score_gemma":0.00041695713,"threshold_uncertainty_score":0.007523954},"labels":[],"label_agreement":null},{"id":"W3105423858","doi":"10.1115/1.4049132","title":"Deformation and Failure Properties of Lithium-Ion Battery Under Axial Nail Penetration","year":2020,"lang":"en","type":"article","venue":"Journal of Electrochemical Energy Conversion and Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Materials science; Thermal runaway; Penetration (warfare); Lithium-ion battery; Battery (electricity); Lithium (medication); Composite material; Ion; Cathode; Structural engineering; Nuclear engineering; Power (physics); Electrical engineering; Chemistry; Engineering","score_opus":0.010961079584991382,"score_gpt":0.19657663394480182,"score_spread":0.18561555435981045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3105423858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99695045,0.0002516687,0.0016394858,0.00003879136,0.000015405727,0.000008968942,0.00018868645,0.00007823839,0.00082828687],"genre_scores_gemma":[0.99897194,0.00009994024,0.00024237874,0.00001010342,0.0000022414872,0.0000071140494,0.00011804578,0.0000059847994,0.0005422191],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975234,0.000016167418,0.000017918039,0.000039026498,0.00012837035,0.000046217643],"domain_scores_gemma":[0.9996082,0.000075326534,0.000075029,0.00006061189,0.000152495,0.000028212076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002420853,0.0004280864,0.00032090285,0.0004968314,0.0003495662,0.0002974155,0.00046174426,0.00057377,0.0023474356],"category_scores_gemma":[0.0006034534,0.00017874074,0.0002799869,0.00047914922,0.000468949,0.00061779213,0.0003139973,0.00024467494,0.00031690215],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007588779,0.00010705267,0.016236825,0.00030941644,0.00002946794,0.0014863833,0.00051359093,0.02246883,0.93082285,0.00053004216,0.0009781762,0.025758428],"study_design_scores_gemma":[0.000042621967,0.0019716441,0.09882582,0.00006203399,0.00005742237,0.00097193604,0.001421306,0.15263252,0.74046713,0.0006167093,0.002800831,0.000129928],"about_ca_topic_score_codex":0.0018617539,"about_ca_topic_score_gemma":0.0018089165,"teacher_disagreement_score":0.0023474356,"about_ca_system_score_codex":0.00024725904,"about_ca_system_score_gemma":0.00016805143,"threshold_uncertainty_score":0.007852972},"labels":[],"label_agreement":null},{"id":"W3106691138","doi":"10.1109/tmech.2020.3040010","title":"General Discharge Voltage Information Enabled Health Evaluation for Lithium-Ion Batteries","year":2020,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":208,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"National Natural Science Foundation of China","keywords":"State of health; Kriging; Voltage; Support vector machine; Computer science; Battery (electricity); Mean squared error; Gaussian; Control theory (sociology); Power (physics); Engineering; Artificial intelligence; Mathematics; Machine learning; Statistics; Control (management); Electrical engineering; Chemistry","score_opus":0.03100134293024576,"score_gpt":0.2907875463055416,"score_spread":0.25978620337529584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106691138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6750034,0.003967413,0.3104649,0.00033705242,0.00014722801,0.00016315907,0.0017792848,0.0032108964,0.0049266694],"genre_scores_gemma":[0.98934364,0.00048268255,0.008861586,0.000048283284,0.000027234515,0.00003878728,0.00053670845,0.000016608083,0.0006443696],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998394,0.000023744005,0.000015616433,0.000030626856,0.00007661356,0.000013877018],"domain_scores_gemma":[0.99977106,0.00006447734,0.000045694687,0.000019565632,0.000090010835,0.0000092886985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026710666,0.00056862517,0.00042663916,0.0010973107,0.00012734103,0.00042476677,0.0003373335,0.00037346935,0.0007830521],"category_scores_gemma":[0.0010027661,0.00009397369,0.00024683037,0.00070657866,0.0001296767,0.0005692279,0.00037333553,0.00018938232,0.00022227263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000970516,0.00022818767,0.04653106,0.0008599861,0.00012152832,0.00038359308,0.00020048195,0.11131129,0.08967427,0.0009959008,0.0043772417,0.7443459],"study_design_scores_gemma":[0.000041420088,0.00065098034,0.06675635,0.00005444417,0.00009530459,0.00037993625,0.0002198872,0.860549,0.065941416,0.0019608745,0.0032781896,0.00007228263],"about_ca_topic_score_codex":0.0014486547,"about_ca_topic_score_gemma":0.0016568453,"teacher_disagreement_score":0.0014486547,"about_ca_system_score_codex":0.00025302608,"about_ca_system_score_gemma":0.00016556245,"threshold_uncertainty_score":0.0028803945},"labels":[],"label_agreement":null},{"id":"W3107058777","doi":"10.1007/s10867-020-09559-0","title":"Physical models of infant mortality: implications for defects in biological systems","year":2020,"lang":"en","type":"article","venue":"Journal of Biological Physics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"Trinity College Dublin; Science Foundation Ireland","keywords":"Incandescent light bulb; Converse; Infant mortality; Failure rate; Reliability (semiconductor); Mortality rate; Computer science; Catastrophic failure; Materials science; Mathematics; Medicine; Physics; Statistics; Surgery; Population; Optics; Geometry; Composite material","score_opus":0.1422838809142099,"score_gpt":0.3447756308617996,"score_spread":0.20249174994758967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107058777","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33540127,0.0034763983,0.52338445,0.024215557,0.0013561822,0.00019671455,0.0015203599,0.00043995943,0.11000899],"genre_scores_gemma":[0.95192987,0.0013249924,0.013622441,0.0010033658,0.00043694364,0.00018167974,0.00024135543,0.0001381775,0.031121148],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999603,0.00013027074,0.000020995978,0.000057334622,0.00010983295,0.0000786527],"domain_scores_gemma":[0.99755543,0.0010070134,0.0004347952,0.00020539232,0.0004408776,0.00035658357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014873113,0.0006349207,0.00091546244,0.001402543,0.0006581847,0.0012908649,0.0032972123,0.0025197638,0.0067620412],"category_scores_gemma":[0.0070795855,0.00041761025,0.0010221374,0.0006206624,0.0018350029,0.0022897306,0.0012188248,0.0015186643,0.0007756315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038041748,0.00011506438,0.0025096626,0.00008156665,0.000032176184,0.0003162269,0.00022949604,0.3231343,0.0012309427,0.661935,0.005430009,0.0049475767],"study_design_scores_gemma":[0.000033061446,0.000042476884,0.0018666361,0.000025162928,0.000020994,0.00019882778,0.00011760927,0.7246445,0.00015535917,0.27056673,0.002299579,0.00002896912],"about_ca_topic_score_codex":0.0052845217,"about_ca_topic_score_gemma":0.0030263972,"teacher_disagreement_score":0.0067620412,"about_ca_system_score_codex":0.0013616891,"about_ca_system_score_gemma":0.0008962145,"threshold_uncertainty_score":0.022621214},"labels":[],"label_agreement":null},{"id":"W3107729271","doi":"10.1016/j.est.2020.101932","title":"Physics inspired model for estimating ‘cycles to failure’ as a function of depth of discharge for lithium ion batteries","year":2020,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Dalhousie University","keywords":"Context (archaeology); Battery (electricity); Lithium (medication); Lithium-ion battery; Reliability engineering; Energy storage; Cycling; Electrolyte; Computer science; Engineering; Chemistry; Physics; Thermodynamics; Electrode; Power (physics); Physical chemistry","score_opus":0.03203633462311307,"score_gpt":0.2764479581683406,"score_spread":0.24441162354522755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107729271","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24016969,0.0012242871,0.752783,0.0006698643,0.00008733066,0.00007237185,0.00052928785,0.000936828,0.0035274418],"genre_scores_gemma":[0.9869239,0.00028717623,0.009808764,0.00008011391,0.000029413715,0.000057537163,0.0002709632,0.000042494205,0.0024996914],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998944,0.000024491404,0.0000062160466,0.000029736093,0.000026764974,0.000018345174],"domain_scores_gemma":[0.9993932,0.00040544764,0.000062480794,0.000030206078,0.00009265785,0.000015989175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049644534,0.00051787554,0.0009342199,0.00048909103,0.0003664386,0.0007917979,0.0014229226,0.0014660857,0.0011823514],"category_scores_gemma":[0.0024700463,0.0005337689,0.00057200086,0.0005256648,0.00047439325,0.00086761883,0.00049435435,0.0009257077,0.00025582075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023739643,0.000018406154,0.00042925042,0.000015775888,0.000013062877,0.000015964664,0.000011262901,0.9945873,0.00092177774,0.0007755913,0.00018010367,0.0030078145],"study_design_scores_gemma":[7.550448e-7,0.000003404645,0.00010545409,6.095431e-7,0.0000015879825,0.000002936779,8.777061e-7,0.9995179,0.00005927636,0.00028056424,0.000024841933,0.0000017549075],"about_ca_topic_score_codex":0.01614269,"about_ca_topic_score_gemma":0.009699143,"teacher_disagreement_score":0.01614269,"about_ca_system_score_codex":0.0010463973,"about_ca_system_score_gemma":0.00081131834,"threshold_uncertainty_score":0.03209746},"labels":[],"label_agreement":null},{"id":"W3108087865","doi":"10.1007/978-981-15-8586-9_2","title":"Power Quality Problems in Grid-Connected Electric Vehicle (EV) Fast Charging Stations","year":2020,"lang":"en","type":"book-chapter","venue":"Lecture notes in electrical engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Grid; Electrical engineering; Transformer; Engineering; Voltage; Charging station; Electric vehicle; Power (physics); Computer science; Topology (electrical circuits); Physics; Mathematics","score_opus":0.013601304657978422,"score_gpt":0.24453811648947626,"score_spread":0.23093681183149783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108087865","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43602327,0.013748138,0.41017112,0.0030742013,0.00078221713,0.000102845945,0.00047576896,0.00041735254,0.13520508],"genre_scores_gemma":[0.97674483,0.002432866,0.003435616,0.000047245707,0.00015787095,0.0000096477015,0.00010083651,0.000037628644,0.01703344],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99985623,0.000050022772,0.0000056413987,0.0000251609,0.000041877825,0.000021114764],"domain_scores_gemma":[0.99966025,0.00020726063,0.000026596515,0.000015508802,0.00007776456,0.0000125919605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029957978,0.0003487899,0.00036763828,0.00032531176,0.0003992915,0.0012418517,0.00058634777,0.0006474251,0.0048713433],"category_scores_gemma":[0.0012618683,0.00017597631,0.00029838458,0.0010089211,0.00040867043,0.00093722536,0.0003019408,0.0005762953,0.00032484936],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006348736,0.00018676625,0.004893678,0.00047350748,0.00008198338,0.0011269475,0.00042031653,0.70499355,0.005878521,0.099520236,0.018585164,0.16320445],"study_design_scores_gemma":[0.000063276864,0.00029639978,0.0057653547,0.00006528848,0.000059420672,0.0006174328,0.0010363831,0.8645889,0.0024760573,0.110786915,0.014215446,0.000029109568],"about_ca_topic_score_codex":0.0066535184,"about_ca_topic_score_gemma":0.0036080023,"teacher_disagreement_score":0.0066535184,"about_ca_system_score_codex":0.00082410075,"about_ca_system_score_gemma":0.00024850975,"threshold_uncertainty_score":0.016296268},"labels":[],"label_agreement":null},{"id":"W3108351869","doi":"10.1109/ieps51250.2020.9263207","title":"Lithium-ion battery pack modeling using accurate OCV model: Application for SoC and SoH estimation","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cegep de Trois-Rivieres; Cégep de l'Outaouais; Cegep de Thetford","funders":"","keywords":"Overcharge; State of health; Battery pack; Battery (electricity); State of charge; Lithium-ion battery; Emulation; Computer science; Automotive engineering; Voltage; Electric vehicle; Engineering; Electrical engineering; Power (physics)","score_opus":0.0731998830432489,"score_gpt":0.3189699306911233,"score_spread":0.24577004764787438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108351869","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.092054024,0.00088149967,0.8886203,0.00024649146,0.000111407455,0.000089608424,0.00055518426,0.0018864684,0.015554951],"genre_scores_gemma":[0.97096217,0.00071192713,0.022024088,0.000036647336,0.000024252644,0.00009918987,0.00043638362,0.00010344711,0.005601797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999074,0.000016379876,0.0000058486125,0.000017113296,0.000043749373,0.000009528518],"domain_scores_gemma":[0.99989414,0.000024820587,0.000013014927,0.00001568779,0.00004870771,0.0000035706466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012110124,0.0004895425,0.00039395154,0.00031575252,0.00018675336,0.0005659153,0.0006353871,0.0005211209,0.0012886641],"category_scores_gemma":[0.00040360715,0.00019337241,0.0005266766,0.00042326917,0.00014988727,0.00075466593,0.00026961073,0.00029922268,0.0004157729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004233845,0.000016826143,0.0014997686,0.00010733558,0.00001901114,0.00008617692,0.00006962838,0.9601711,0.0064041344,0.0020646898,0.00090500124,0.028614007],"study_design_scores_gemma":[0.000002409672,0.000014764396,0.00023635179,0.0000045663874,0.0000058935407,0.000018676319,0.000009755766,0.99696535,0.0010332912,0.0005208189,0.001184052,0.0000039966435],"about_ca_topic_score_codex":0.008218943,"about_ca_topic_score_gemma":0.006324704,"teacher_disagreement_score":0.008218943,"about_ca_system_score_codex":0.00041523203,"about_ca_system_score_gemma":0.00040170614,"threshold_uncertainty_score":0.016342223},"labels":[],"label_agreement":null},{"id":"W3109545249","doi":"10.11591/ijai.v10.i1.pp215-223","title":"Enhancement of energy consumption estimation for electric vehicles by using machine learning","year":2021,"lang":"en","type":"article","venue":"IAES International Journal of Artificial Intelligence","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec","funders":"","keywords":"Energy consumption; Computer science; Energy (signal processing); Electric energy consumption; Consumption (sociology); Efficient energy use; Mathematical optimization; Electric energy; Statistics; Mathematics; Electrical engineering","score_opus":0.047940492725990824,"score_gpt":0.3471270666849426,"score_spread":0.29918657395895176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109545249","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.078773886,0.00065672374,0.914906,0.0001332412,0.000077146906,0.000031780975,0.00015406113,0.0019004325,0.003366688],"genre_scores_gemma":[0.89837366,0.0003644398,0.0978187,0.000048723872,0.000038808477,0.000040609964,0.00042305217,0.00008060866,0.0028114028],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981564,0.000049146154,0.00001235318,0.00004767999,0.000056102213,0.000019026205],"domain_scores_gemma":[0.9997534,0.000101001104,0.00002595076,0.000034040982,0.0000798711,0.0000057686807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003124281,0.000584682,0.00045431158,0.0005821147,0.00016962168,0.00046964642,0.0004907376,0.00042028146,0.0011074519],"category_scores_gemma":[0.00090202026,0.00018223138,0.00040472505,0.00060758524,0.00011169281,0.00074035214,0.00026748359,0.00035493865,0.0006218401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012934634,0.00022977653,0.009183964,0.00016229623,0.00009135408,0.0000885348,0.000053303444,0.52782124,0.011402712,0.0016152859,0.0019181775,0.44730398],"study_design_scores_gemma":[0.0000020287139,0.000016893626,0.00096392306,0.000005049596,0.000006376272,0.000017617998,0.0000075455914,0.9956161,0.0023415012,0.00038860083,0.0006300893,0.0000042911965],"about_ca_topic_score_codex":0.0054748645,"about_ca_topic_score_gemma":0.004247268,"teacher_disagreement_score":0.0054748645,"about_ca_system_score_codex":0.00026541165,"about_ca_system_score_gemma":0.00034436976,"threshold_uncertainty_score":0.0108860135},"labels":[],"label_agreement":null},{"id":"W3109613409","doi":"10.5604/01.3001.0014.4573","title":"Scientific instruments supporting the city bus fleet conversion from the conventional one to the electric powered","year":2018,"lang":"en","type":"article","venue":"WUT Journal of Transportation Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Process (computing); Computer science; Convention; Systems engineering; Operations research; Automotive engineering; Engineering","score_opus":0.016730144296134005,"score_gpt":0.24997221551025334,"score_spread":0.23324207121411933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109613409","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018697403,0.00017437605,0.94920266,0.0027311859,0.000098200544,0.00025595637,0.00012317317,0.0001623297,0.028554628],"genre_scores_gemma":[0.5470795,0.00094329315,0.43611196,0.00031402963,0.00009554337,0.0006650893,0.00035862625,0.00010110116,0.014330822],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99520063,0.0020413655,0.00039513258,0.00044343498,0.0016858074,0.00023348314],"domain_scores_gemma":[0.9949586,0.0026418313,0.00071820157,0.0007600736,0.00076204597,0.00015927345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007981404,0.0007352911,0.0005527146,0.0014030173,0.0016847645,0.0054597743,0.0017653031,0.0020620967,0.0045521143],"category_scores_gemma":[0.011177947,0.00050399255,0.0011309292,0.0015138397,0.002688824,0.006422729,0.00307251,0.0023458025,0.0006292153],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058966656,0.000110006964,0.0012187622,0.0003424222,0.000029265708,0.0003222768,0.0007461371,0.06992745,0.0038160235,0.87042105,0.0014578565,0.051549885],"study_design_scores_gemma":[0.000053029315,0.00026766918,0.0010048447,0.0004991542,0.00005915452,0.00038140162,0.0025515342,0.20245115,0.011474089,0.70875454,0.072391,0.00011248961],"about_ca_topic_score_codex":0.0025230257,"about_ca_topic_score_gemma":0.002493118,"teacher_disagreement_score":0.007981404,"about_ca_system_score_codex":0.0025770771,"about_ca_system_score_gemma":0.0063063065,"threshold_uncertainty_score":0.04221022},"labels":[],"label_agreement":null},{"id":"W3111766455","doi":"10.3390/batteries6040061","title":"Mathematical Heat Transfer Modeling and Experimental Validation of Lithium-Ion Battery Considering: Tab and Surface Temperature, Separator, Electrolyte Resistance, Anode-Cathode Irreversible and Reversible Heat","year":2020,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":117,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Anode; Separator (oil production); Electrolyte; Cathode; Materials science; Battery (electricity); Internal resistance; Lithium-ion battery; Heat transfer; Nuclear engineering; Heat generation; Lithium (medication); Thermal resistance; Analytical Chemistry (journal); Composite material; Thermodynamics; Chemistry; Electrode; Power (physics); Chromatography","score_opus":0.024694697475197855,"score_gpt":0.2544577390368519,"score_spread":0.22976304156165406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111766455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56149316,0.0010805143,0.40660426,0.0005108112,0.000114911105,0.00024621864,0.0010654987,0.001014369,0.027870247],"genre_scores_gemma":[0.9850485,0.00043217023,0.010455523,0.000019252173,0.000009792051,0.00016818127,0.00022844815,0.000034762616,0.0036033476],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983513,0.00003215468,0.000013634873,0.00003317639,0.000067624664,0.000018314075],"domain_scores_gemma":[0.9996977,0.00014176786,0.000027123911,0.000029425744,0.00009944733,0.00000455457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043342134,0.00049300666,0.0004486499,0.0004032841,0.00035838332,0.00072974496,0.0009324921,0.000614965,0.0019092015],"category_scores_gemma":[0.00102304,0.0001918406,0.00069620146,0.0005410054,0.00045927396,0.0010437563,0.00033192988,0.00048102115,0.00038025065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006326642,0.00007351825,0.0012942161,0.00020152156,0.000011648672,0.00006960481,0.00008615037,0.9572353,0.027996793,0.00422454,0.00029723992,0.008446273],"study_design_scores_gemma":[0.00000618479,0.000046736495,0.00033187395,0.000007867072,0.0000055725227,0.000017829385,0.000019883024,0.9823125,0.015933163,0.00062550156,0.00068562035,0.0000072049324],"about_ca_topic_score_codex":0.0030807017,"about_ca_topic_score_gemma":0.0015035099,"teacher_disagreement_score":0.0030807017,"about_ca_system_score_codex":0.00065323035,"about_ca_system_score_gemma":0.0005827364,"threshold_uncertainty_score":0.006386876},"labels":[],"label_agreement":null},{"id":"W3111777653","doi":"10.1002/er.6260","title":"Hybrid heat sinks for thermal management of <scp>passively cooled</scp> battery chargers","year":2020,"lang":"en","type":"article","venue":"International Journal of Energy Research","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Delta-Q Technologies (Canada); Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; International Development Research Centre","keywords":"Heat sink; Phase-change material; Battery (electricity); Thermal resistance; Materials science; Nuclear engineering; Automotive engineering; Thermal; Battery pack; Fin; Mechanical engineering; Engineering; Electrical engineering; Power (physics); Thermodynamics","score_opus":0.04982427468254077,"score_gpt":0.32777799751418746,"score_spread":0.2779537228316467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111777653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9550528,0.00095812016,0.039726082,0.0000840048,0.00012769988,0.00005448861,0.00028004352,0.00070239865,0.0030142725],"genre_scores_gemma":[0.9886036,0.000188212,0.009006317,0.000017293924,0.000012448509,0.000030825286,0.000093555005,0.000028079001,0.0020196582],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999944,0.0000046664677,0.0000031574086,0.000015275054,0.000022952954,0.000009963678],"domain_scores_gemma":[0.9999143,0.000011927406,0.000020820638,0.000011195863,0.000034741744,0.0000069838516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009971661,0.00021543773,0.00016400678,0.00019895403,0.000121498204,0.00020370743,0.00042592498,0.00020080668,0.0010667299],"category_scores_gemma":[0.00014394849,0.000112065885,0.00015291509,0.00013835814,0.000118690936,0.00034608564,0.00015616823,0.00016379173,0.00025441995],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009333085,0.000022051585,0.00043177648,0.00015561735,0.000010000832,0.00009361012,0.000031852094,0.0026542656,0.98265797,0.0004105545,0.0004960649,0.012942873],"study_design_scores_gemma":[0.00001929528,0.0003491221,0.00255165,0.000014816851,0.000019382886,0.00019582034,0.000026646361,0.027155085,0.9627808,0.00016460642,0.0067065046,0.000016287226],"about_ca_topic_score_codex":0.00022607778,"about_ca_topic_score_gemma":0.00042224213,"teacher_disagreement_score":0.0010667299,"about_ca_system_score_codex":0.00013798053,"about_ca_system_score_gemma":0.00011347153,"threshold_uncertainty_score":0.0035685897},"labels":[],"label_agreement":null},{"id":"W3111835906","doi":"10.1115/1.4049234","title":"A Particle Filter and Long Short-Term Memory Fusion Technique for Lithium-Ion Battery Remaining Useful Life Prediction","year":2020,"lang":"en","type":"article","venue":"Journal of Dynamic Systems Measurement and Control","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Standard deviation; Particle filter; Battery (electricity); Computer science; Reliability (semiconductor); Artificial neural network; Term (time); Interval (graph theory); Algorithm; Reliability engineering; Statistics; Artificial intelligence; Mathematics; Engineering; Kalman filter","score_opus":0.03697466733707781,"score_gpt":0.24434438896940516,"score_spread":0.20736972163232736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111835906","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03509932,0.0005198483,0.9621944,0.00013427832,0.00014027212,0.000030637184,0.000054617623,0.0006927712,0.0011338657],"genre_scores_gemma":[0.8569151,0.0005888075,0.1385708,0.00013702945,0.00010211611,0.000104365885,0.00022938488,0.000042575874,0.003309717],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964213,0.000039159386,0.000030468636,0.00009332948,0.00015336272,0.00004155028],"domain_scores_gemma":[0.99967515,0.000092433394,0.000040595114,0.000032537533,0.00014495318,0.000014372486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060848176,0.0007145597,0.0007669529,0.0006484088,0.0004566011,0.0005757542,0.0007858322,0.0007934667,0.0010970233],"category_scores_gemma":[0.0011722188,0.00037884948,0.000796979,0.00065295404,0.00024554756,0.0010828257,0.0005431926,0.0009057947,0.0003242055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004177007,0.00021303986,0.0046373303,0.00017200653,0.00019019334,0.00021382462,0.00017269688,0.4189268,0.02923828,0.004160411,0.0028232066,0.53883445],"study_design_scores_gemma":[0.0000073387682,0.000039147435,0.00060921937,0.000004889182,0.000015580687,0.00002001596,0.000005577171,0.9956442,0.002897955,0.00036319304,0.00038496507,0.000007984259],"about_ca_topic_score_codex":0.0114765465,"about_ca_topic_score_gemma":0.005818401,"teacher_disagreement_score":0.0114765465,"about_ca_system_score_codex":0.0005401632,"about_ca_system_score_gemma":0.0007649963,"threshold_uncertainty_score":0.022819519},"labels":[],"label_agreement":null},{"id":"W3112546421","doi":"10.1109/tte.2020.3045324","title":"High-Efficiency Discontinuous Current-Mode Power Factor Correction-Based Plug-In Battery Charger for Local e-Transportation","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Power factor; Buck converter; Battery charger; Total harmonic distortion; Rectification; Robustness (evolution); Electrical engineering; Inductor; Voltage; Electronic engineering; Engineering; Power (physics); Battery (electricity); Computer science; Physics","score_opus":0.015849402125498836,"score_gpt":0.26390356842942164,"score_spread":0.2480541663039228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112546421","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25411183,0.0014861344,0.7216652,0.00029257222,0.00018131932,0.00029945807,0.0003168487,0.006221195,0.015425502],"genre_scores_gemma":[0.94307554,0.00035009504,0.043753766,0.00010886121,0.00003975472,0.00007645353,0.00024764994,0.00013675915,0.012211101],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983776,0.000014423627,0.000007899547,0.000029384939,0.000095120085,0.0000153913],"domain_scores_gemma":[0.9999056,0.000013785337,0.000011148725,0.000016767612,0.000045731224,0.0000068968334],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018548961,0.0003255997,0.00047666943,0.00036247738,0.00025039414,0.00042905036,0.0012640848,0.0002897669,0.004459988],"category_scores_gemma":[0.0001803259,0.00013641837,0.0002230269,0.00033323653,0.00016564521,0.0007438581,0.00030176295,0.00048030826,0.0015479657],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046346828,0.0002698835,0.0018816653,0.0006742421,0.000054150034,0.000431801,0.00018322216,0.0030780772,0.66769016,0.0023521974,0.0066093216,0.3163119],"study_design_scores_gemma":[0.00017214667,0.001257814,0.0056156684,0.00005308554,0.00011673258,0.0028190536,0.00013888563,0.0741994,0.8553544,0.0010077965,0.05919203,0.000072999865],"about_ca_topic_score_codex":0.00027351847,"about_ca_topic_score_gemma":0.0006067739,"teacher_disagreement_score":0.004459988,"about_ca_system_score_codex":0.00019928248,"about_ca_system_score_gemma":0.00015596837,"threshold_uncertainty_score":0.0149201155},"labels":[],"label_agreement":null},{"id":"W3113110972","doi":"10.1109/tte.2020.3044938","title":"800-V Electric Vehicle Powertrains: Review and Analysis of Benefits, Challenges, and Future Trends","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":395,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Powertrain; Automotive engineering; Battery (electricity); Propulsion; Electric vehicle; Range (aeronautics); Power (physics); Battery capacity; Computer science; Engineering; Electrical engineering; Torque; Aerospace engineering; Physics","score_opus":0.02262789215295969,"score_gpt":0.2508181797627161,"score_spread":0.2281902876097564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113110972","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0029347555,0.9862912,0.0028412673,0.0007574119,0.00030277224,0.000019986435,0.000082171166,0.000035246325,0.0067351987],"genre_scores_gemma":[0.012391412,0.98360425,0.0013174316,0.00030518312,0.00029971392,0.000015533991,0.00016428936,0.000011880885,0.0018903414],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999684,0.00003290846,0.000039001206,0.000051313324,0.00017020282,0.000022721732],"domain_scores_gemma":[0.9991837,0.00034837186,0.00008622146,0.00001834854,0.00033708522,0.00002627831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006823497,0.0005146639,0.0004986868,0.0017605895,0.00017948142,0.00095981365,0.0008494471,0.0006810088,0.002040576],"category_scores_gemma":[0.0009282062,0.00029423306,0.00036662328,0.002696202,0.00031976707,0.002070998,0.00045551648,0.00070880656,0.00070198637],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005754322,0.00007647902,0.00087909744,0.014383276,0.00006945666,0.00012456664,0.00009343849,0.0025321676,0.0035148624,0.010248944,0.011923711,0.9560965],"study_design_scores_gemma":[0.0000075263783,0.00029975097,0.0022986461,0.0045599113,0.00015164164,0.0008274988,0.0002898124,0.0017386158,0.003570117,0.0047815223,0.9814253,0.00004969173],"about_ca_topic_score_codex":0.0013315895,"about_ca_topic_score_gemma":0.0018269722,"teacher_disagreement_score":0.002040576,"about_ca_system_score_codex":0.0005189266,"about_ca_system_score_gemma":0.00093647325,"threshold_uncertainty_score":0.006826341},"labels":[],"label_agreement":null},{"id":"W3113360996","doi":"10.1016/j.energy.2020.119564","title":"A novel battery thermal management system using nano-enhanced phase change materials","year":2020,"lang":"en","type":"article","venue":"Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":415,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Phase-change material; Materials science; Natural convection; Energy storage; Thermal; Nuclear engineering; Convection; Water cooling; Thermodynamics; Mechanical engineering; Engineering; Physics","score_opus":0.05333626354975052,"score_gpt":0.2752223336874313,"score_spread":0.2218860701376808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113360996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7753132,0.0042123105,0.18882321,0.0010995785,0.001417218,0.00022501493,0.00072764355,0.0060481373,0.022133684],"genre_scores_gemma":[0.95887065,0.0005252702,0.029792925,0.00022467079,0.00009641531,0.00009230923,0.00019827996,0.000081384795,0.010118168],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999267,0.000003989496,0.000003891316,0.000023294362,0.000033041346,0.000009027429],"domain_scores_gemma":[0.99995303,0.000005454314,0.0000064122796,0.000006354011,0.000021961734,0.000006815949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000070089125,0.00021580636,0.00039702872,0.00021132285,0.00035292294,0.00035584616,0.0008275842,0.00037370337,0.002165279],"category_scores_gemma":[0.00008883374,0.00015339177,0.00016882009,0.00021081792,0.000102621496,0.0008421571,0.00020699167,0.00023723775,0.00063965155],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026229906,0.00013867558,0.0004548504,0.00021789926,0.000024020257,0.0001831595,0.000037920614,0.001191999,0.9413717,0.0011828587,0.0025600467,0.052374624],"study_design_scores_gemma":[0.000060612907,0.00044285995,0.0016254428,0.000012097969,0.000053896565,0.000584792,0.00004126572,0.06594263,0.91080195,0.00049769337,0.019897284,0.00003962503],"about_ca_topic_score_codex":0.0002242303,"about_ca_topic_score_gemma":0.00064260466,"teacher_disagreement_score":0.002165279,"about_ca_system_score_codex":0.00018738155,"about_ca_system_score_gemma":0.00020882236,"threshold_uncertainty_score":0.0072436333},"labels":[],"label_agreement":null},{"id":"W3113591955","doi":"10.1149/ma2020-02453811mtgabs","title":"Understanding the High-Voltage Cycling Behavior of Ni-Rich Cathode","year":2020,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Cathode; Materials science; Voltage; High voltage; Cycling; Electrode; Power density; Engineering physics; Nanotechnology; Electrical engineering; Power (physics); Chemistry; Engineering","score_opus":0.07815932161418225,"score_gpt":0.2861565729053286,"score_spread":0.20799725129114632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113591955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8960796,0.05386965,0.030546356,0.000732719,0.00018397423,0.00012073128,0.0015304082,0.00050936476,0.01642724],"genre_scores_gemma":[0.97637045,0.011653271,0.008045021,0.00017202867,0.0000916262,0.000068764326,0.00092227425,0.00006989652,0.002606644],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998565,0.000006872688,0.000009006845,0.000044248558,0.00006238577,0.000020985086],"domain_scores_gemma":[0.999908,0.000020560758,0.000022600037,0.0000070836113,0.000036014295,0.0000057064785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016976957,0.00052033126,0.00032758803,0.00047680782,0.00029359723,0.0005937028,0.00060804846,0.00091040734,0.0010107851],"category_scores_gemma":[0.00034227924,0.00021070095,0.0001577595,0.00032050905,0.00023112247,0.001232304,0.0001937356,0.00062416977,0.000547287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007246548,0.00008052976,0.0022488916,0.0008893619,0.00001427661,0.00034529108,0.0001815043,0.0025909643,0.97099113,0.0023479615,0.00051270303,0.019724943],"study_design_scores_gemma":[0.000012969233,0.00029918723,0.015432966,0.00011120697,0.000044858163,0.0011386975,0.00028052807,0.06435016,0.89624894,0.0036782045,0.018347539,0.000054648717],"about_ca_topic_score_codex":0.0017120235,"about_ca_topic_score_gemma":0.0012584812,"teacher_disagreement_score":0.0017120235,"about_ca_system_score_codex":0.00050440326,"about_ca_system_score_gemma":0.00023344546,"threshold_uncertainty_score":0.0036597252},"labels":[],"label_agreement":null},{"id":"W3114403993","doi":"10.1149/ma2020-024826mtgabs","title":"Understanding Anode Capacity Fade in Symmetric Cells","year":2020,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Anode; Faraday efficiency; Materials science; Electrode; Capacity loss; Electrolyte; Graphite; Fade; Alloy; Degradation (telecommunications); Chemical engineering; Analytical Chemistry (journal); Composite material; Chemistry; Telecommunications; Computer science; Organic chemistry; Physical chemistry","score_opus":0.10355989214736173,"score_gpt":0.2618577497012578,"score_spread":0.15829785755389608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114403993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89063454,0.0028524636,0.09830344,0.00023722406,0.000040248877,0.00010097986,0.001119208,0.0010268991,0.005684949],"genre_scores_gemma":[0.99542916,0.0005090728,0.0028796056,0.000025474632,0.000005590753,0.000022426551,0.00025632363,0.00003651287,0.0008358349],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999728,0.0000150809565,0.000017013768,0.00006644588,0.00011728031,0.0000561194],"domain_scores_gemma":[0.99948823,0.00013648086,0.00010392,0.00010304464,0.00014751991,0.000020758309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004545613,0.0006678053,0.00059946073,0.0011018032,0.00025134467,0.000784952,0.0013374463,0.0008322063,0.0013545152],"category_scores_gemma":[0.0013023776,0.00034224204,0.00045181214,0.00070135883,0.00057967333,0.0020000944,0.0006807762,0.00074188085,0.00041880106],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072965084,0.0003285593,0.04059728,0.00084898906,0.00009458836,0.0015608986,0.0008326618,0.34643033,0.47308603,0.010052173,0.0016025399,0.12383623],"study_design_scores_gemma":[0.000013119614,0.00025980297,0.019205457,0.000029961813,0.0000369312,0.00048797773,0.00023342397,0.74459374,0.22674276,0.006038863,0.0023065708,0.00005139021],"about_ca_topic_score_codex":0.003992525,"about_ca_topic_score_gemma":0.0020496966,"teacher_disagreement_score":0.003992525,"about_ca_system_score_codex":0.001831627,"about_ca_system_score_gemma":0.00036710806,"threshold_uncertainty_score":0.013289392},"labels":[],"label_agreement":null},{"id":"W3114458725","doi":"10.1109/siitme50350.2020.9292232","title":"A Comparison between State of Charge Estimation Methods: Extended Kalman Filter and Unscented Kalman Filter","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kalman filter; State of charge; Fast Kalman filter; Extended Kalman filter; Battery (electricity); Control theory (sociology); Alpha beta filter; Invariant extended Kalman filter; Unscented transform; Computer science; State (computer science); Engineering; Moving horizon estimation; Control (management); Algorithm; Power (physics); Physics; Artificial intelligence","score_opus":0.06760417078140002,"score_gpt":0.36790651677905334,"score_spread":0.3003023459976533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114458725","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028550023,0.0052420874,0.96204686,0.00018757944,0.00022808342,0.000043596327,0.000100258316,0.0007970861,0.0028043706],"genre_scores_gemma":[0.67313457,0.008066516,0.31169587,0.00018511224,0.00022506028,0.00015994986,0.000648522,0.00022312792,0.005661229],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99842536,0.0003648867,0.00013324166,0.0002885762,0.0006848275,0.000103204],"domain_scores_gemma":[0.99572057,0.0022978478,0.0002571502,0.00021875923,0.001455749,0.000049976465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028688018,0.0007592208,0.0010126054,0.0012015399,0.00033412213,0.0009867201,0.0008821393,0.0014469003,0.0014735634],"category_scores_gemma":[0.009593881,0.00030323697,0.0007365854,0.0011403983,0.0003466065,0.0025934747,0.0005588005,0.00079075503,0.00044278373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001414446,0.00016141661,0.0062853987,0.0010208199,0.00050533,0.00012271886,0.00035761163,0.32285395,0.009312919,0.00845388,0.0021743902,0.64733714],"study_design_scores_gemma":[0.00006388179,0.00034468676,0.005615961,0.00009216215,0.00015263143,0.00012309698,0.00010605168,0.98135126,0.0060562873,0.0018200269,0.00419884,0.000075152435],"about_ca_topic_score_codex":0.013869054,"about_ca_topic_score_gemma":0.0076559163,"teacher_disagreement_score":0.013869054,"about_ca_system_score_codex":0.0006349897,"about_ca_system_score_gemma":0.001209194,"threshold_uncertainty_score":0.027576625},"labels":[],"label_agreement":null},{"id":"W3115376704","doi":"10.3390/en14010087","title":"Core Temperature Estimation for a Lithium ion 18650 Cell","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Thermocouple; Kalman filter; Control theory (sociology); Thermal; Controller (irrigation); Core (optical fiber); Battery (electricity); MATLAB; Materials science; Mechanics; Computer science; Thermodynamics; Power (physics); Physics; Composite material","score_opus":0.031096515875292594,"score_gpt":0.27021726210093405,"score_spread":0.23912074622564145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115376704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7709713,0.0006217528,0.22268608,0.000079593075,0.00003257711,0.000048458158,0.00020901601,0.00092651055,0.004424736],"genre_scores_gemma":[0.99136764,0.00011028243,0.0074170483,0.000009078469,0.0000023085775,0.000012970692,0.00012100425,0.000013512285,0.000946126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999192,0.000009755321,0.000005171741,0.000019046262,0.000039968712,0.0000069722596],"domain_scores_gemma":[0.99991226,0.000024472229,0.000011052149,0.000008380652,0.0000395127,0.000004304628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015305207,0.0003022605,0.00035965999,0.0003217591,0.00018292424,0.0003517572,0.00028150942,0.00027513006,0.000587553],"category_scores_gemma":[0.00035175736,0.00011845768,0.00023695292,0.00025155826,0.000098197306,0.00030610152,0.00021262343,0.00015930318,0.00025152328],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068786414,0.000107537264,0.020467531,0.0005110052,0.00008496179,0.00035655237,0.0003551845,0.42092612,0.34058917,0.0009750217,0.0010949017,0.21384418],"study_design_scores_gemma":[0.000009663795,0.00020717115,0.010302186,0.0000138143805,0.000034058496,0.000093483606,0.00005997975,0.92073625,0.067128,0.00027685126,0.0011139489,0.000024443934],"about_ca_topic_score_codex":0.004953144,"about_ca_topic_score_gemma":0.00548713,"teacher_disagreement_score":0.004953144,"about_ca_system_score_codex":0.00035234136,"about_ca_system_score_gemma":0.0003334844,"threshold_uncertainty_score":0.009848654},"labels":[],"label_agreement":null},{"id":"W3116489639","doi":"10.1109/tte.2020.3046735","title":"Improving the Air-Cooling Performance for Battery Packs via Electrothermal Modeling and Particle Swarm Optimization","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"State Key Laboratory of Automotive Safety and Energy; Natural Science Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Particle swarm optimization; Battery pack; Battery (electricity); State of charge; Root mean square; Mean squared error; Current (fluid); Thermal; Simulation; Inertia; Automotive engineering; Control theory (sociology); Computer science; Algorithm; Mathematics; Engineering; Electrical engineering; Power (physics); Physics; Meteorology; Statistics; Thermodynamics; Artificial intelligence","score_opus":0.01650052099082207,"score_gpt":0.2259610734136209,"score_spread":0.20946055242279882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116489639","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03305499,0.00033949382,0.96266466,0.000069565634,0.000039533224,0.000039669372,0.000024322613,0.00025354367,0.0035140913],"genre_scores_gemma":[0.85906374,0.00058015744,0.1355668,0.000060162605,0.000028162924,0.00026672627,0.00010964603,0.00009121724,0.0042333878],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998512,0.00003284956,0.000008220939,0.000026952952,0.00006675744,0.000014023231],"domain_scores_gemma":[0.9999069,0.000032388496,0.000016618798,0.000010177584,0.000029743358,0.0000041236026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037414554,0.0007431393,0.0006682296,0.0003464187,0.00032356355,0.0006801449,0.0006165686,0.0005154197,0.0009576036],"category_scores_gemma":[0.00045969637,0.00044289598,0.00077849574,0.0003808429,0.000282898,0.000734019,0.00039990118,0.00037313075,0.0002485254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024575587,0.000029347955,0.0005247081,0.00007197971,0.000026432952,0.00003836407,0.000033080065,0.9690412,0.0074568237,0.0012176089,0.0003199692,0.021215856],"study_design_scores_gemma":[0.0000032712605,0.000023645149,0.00009248017,0.0000025994104,0.000007254578,0.000006588458,0.000004303084,0.9983475,0.0010045682,0.00016228143,0.00034287426,0.0000025235229],"about_ca_topic_score_codex":0.0030209136,"about_ca_topic_score_gemma":0.0031020138,"teacher_disagreement_score":0.0030209136,"about_ca_system_score_codex":0.00038615562,"about_ca_system_score_gemma":0.00070258207,"threshold_uncertainty_score":0.006006658},"labels":[],"label_agreement":null},{"id":"W3116916387","doi":"10.18280/jesa.530614","title":"Z-Source Inverter for Energy Management and Vector Control for Electric Vehicle Based PMSM","year":2020,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Converters; Electric vehicle; Vector control; Inverter; Voltage source; Power electronics; Robustness (evolution); Computer science; Automotive engineering; EMI; Energy management; Traction motor; Engineering; Voltage; Electrical engineering; Power (physics); Electromagnetic interference; Energy (signal processing); Induction motor","score_opus":0.016094869004955797,"score_gpt":0.2342341347212967,"score_spread":0.2181392657163409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116916387","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03142574,0.001414424,0.95059854,0.00020527188,0.00022639548,0.00015177861,0.00009056739,0.00073473115,0.015152632],"genre_scores_gemma":[0.91007775,0.0012961786,0.07365923,0.00009659256,0.00010258247,0.00016790594,0.00016401453,0.000029539975,0.01440616],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999243,0.000013804433,0.000005277132,0.00001364496,0.00003853143,0.0000044536423],"domain_scores_gemma":[0.99996674,0.000007290792,0.0000058535466,0.0000028798524,0.000015755277,0.000001555337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009623538,0.00021889019,0.00019686154,0.00019361114,0.00013865292,0.00028808138,0.00037217457,0.00026858706,0.0022337586],"category_scores_gemma":[0.0001417329,0.000061486615,0.00014028401,0.00027518754,0.00012323019,0.0002425321,0.00015156319,0.0003013142,0.00055597624],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026946314,0.00019724669,0.0010921686,0.0009257003,0.00005529206,0.0002689471,0.00022350998,0.05066016,0.24904138,0.045094825,0.004863621,0.6473077],"study_design_scores_gemma":[0.00017641988,0.001650895,0.0037562337,0.00012815188,0.00008300283,0.0005882026,0.000114553186,0.77905875,0.09636047,0.012751843,0.10528604,0.000045384568],"about_ca_topic_score_codex":0.00039304205,"about_ca_topic_score_gemma":0.0006461118,"teacher_disagreement_score":0.0022337586,"about_ca_system_score_codex":0.0001739079,"about_ca_system_score_gemma":0.00017590685,"threshold_uncertainty_score":0.007472694},"labels":[],"label_agreement":null},{"id":"W3116981973","doi":"10.1149/ma2020-02132mtgabs","title":"(Invited) The Life and Death of Anode-Free Lithium Metal Cells","year":2020,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Anode; Lithium (medication); Electrolyte; Materials science; Lithium carbonate; Lithium metal; Chemical engineering; Nanotechnology; Chemistry; Ion; Electrode; Organic chemistry","score_opus":0.026420430175481,"score_gpt":0.24163497981334592,"score_spread":0.2152145496378649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116981973","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016105369,0.2223021,0.00961105,0.05965738,0.19203046,0.00023646586,0.0013265463,0.00096219825,0.4977684],"genre_scores_gemma":[0.05973673,0.09365746,0.0025905194,0.015220239,0.037917554,0.00023528164,0.0010954256,0.00036740396,0.78917944],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993469,0.000054906784,0.00002943579,0.00012847636,0.00035430118,0.0000860155],"domain_scores_gemma":[0.9993007,0.0000867312,0.000037817852,0.00003842435,0.0003983601,0.00013794858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007186537,0.00067874364,0.00033569193,0.0006750003,0.00095885893,0.002168474,0.0010561374,0.0021826094,0.035236858],"category_scores_gemma":[0.0012885617,0.00025849222,0.0002868705,0.00056956254,0.0008907324,0.0023304948,0.0011937807,0.0016433994,0.025711827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015002562,0.000040332092,0.00055834284,0.0007137783,0.000016105972,0.00030195905,0.0001452992,0.00032632545,0.007022881,0.010889073,0.66232216,0.31751373],"study_design_scores_gemma":[0.0000041119715,0.00004080231,0.0003664204,0.000078616715,0.000005801133,0.00015130578,0.000060276954,0.00013543121,0.0023681843,0.0010656809,0.9957117,0.000011695065],"about_ca_topic_score_codex":0.0012516219,"about_ca_topic_score_gemma":0.0025386442,"teacher_disagreement_score":0.035236858,"about_ca_system_score_codex":0.0012709602,"about_ca_system_score_gemma":0.00076054374,"threshold_uncertainty_score":0.11787903},"labels":[],"label_agreement":null},{"id":"W3117446067","doi":"10.1016/j.egyr.2020.10.057","title":"A three-layer coordinated operation methodology for multiple hydrogen-based hybrid storage systems","year":2020,"lang":"en","type":"article","venue":"Energy Reports","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Shenzhen University","keywords":"Energy storage; Hydrogen storage; Computer science; Computer data storage; Controller (irrigation); Control theory (sociology); Power (physics); Hydrogen; Chemistry; Control (management)","score_opus":0.07448458034856749,"score_gpt":0.28875759421643604,"score_spread":0.21427301386786857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117446067","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006599823,0.00014462713,0.9907278,0.00005246472,0.000025074396,0.000044564502,0.000009824511,0.0001813204,0.0022146045],"genre_scores_gemma":[0.83752435,0.00025953416,0.1583995,0.000058240945,0.000033863314,0.00021410479,0.00004328541,0.000040619234,0.0034265264],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964714,0.000080432124,0.000029786692,0.00009008898,0.0001039502,0.000048684065],"domain_scores_gemma":[0.99979204,0.000046061945,0.000039149425,0.000019991985,0.00008362915,0.000019140958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069646223,0.00074369257,0.00061535486,0.00041839966,0.0006399976,0.0011283831,0.0012345015,0.00064723846,0.0023867358],"category_scores_gemma":[0.000598913,0.0003477706,0.0006601146,0.00038774477,0.0005295421,0.001095079,0.0011058885,0.0005812334,0.00033355053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008368615,0.00004351952,0.00069746416,0.00013958664,0.00007718063,0.00021415995,0.00023287626,0.891916,0.012148936,0.022795225,0.0008405637,0.07081083],"study_design_scores_gemma":[0.0000062226172,0.00004216495,0.000058558104,0.0000047076746,0.000010143395,0.000018291015,0.00001676758,0.9966012,0.0010339264,0.0015545207,0.00064770645,0.0000057886505],"about_ca_topic_score_codex":0.004657258,"about_ca_topic_score_gemma":0.003273376,"teacher_disagreement_score":0.004657258,"about_ca_system_score_codex":0.00067170046,"about_ca_system_score_gemma":0.0008800954,"threshold_uncertainty_score":0.009260297},"labels":[],"label_agreement":null},{"id":"W3118696462","doi":"10.1007/s42154-020-00128-8","title":"Joint Estimation of Inconsistency and State of Health for Series Battery Packs","year":2021,"lang":"en","type":"article","venue":"Automotive Innovation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"NSAF Joint Fund; Research and Innovation Foundation; Natural Science Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Battery (electricity); Computer science; State of health; Mean squared error; Analytic hierarchy process; Data mining; Engineering; Statistics; Mathematics; Power (physics)","score_opus":0.03403308957840092,"score_gpt":0.2943938416329206,"score_spread":0.2603607520545197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118696462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5608302,0.0002918097,0.4373052,0.00006804812,0.00003695865,0.00003523852,0.00015737451,0.0004927467,0.0007824568],"genre_scores_gemma":[0.9863944,0.00004722554,0.013143654,0.00001053668,0.000012382063,0.000011243396,0.00012198022,0.0000148313375,0.00024376428],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952304,0.00007218901,0.000038679515,0.00014570612,0.00017555125,0.000044785487],"domain_scores_gemma":[0.9992706,0.00020457797,0.00017132069,0.000094741925,0.00023414374,0.000024583362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086225895,0.0005738652,0.00067120296,0.0011015083,0.00021288614,0.0005359616,0.00042095245,0.00034771574,0.00038556964],"category_scores_gemma":[0.0026046443,0.00018347186,0.0005254388,0.00069497444,0.00025693147,0.000932122,0.0005612759,0.0003597104,0.00012433213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009046092,0.00025994185,0.121137775,0.00025400278,0.0003749633,0.00038610242,0.0005552803,0.27789423,0.059041735,0.0022543934,0.0014239829,0.5355129],"study_design_scores_gemma":[0.000010171841,0.00014531474,0.036271196,0.000009326232,0.00007220841,0.0001217543,0.00007653942,0.94719684,0.01430403,0.0013577701,0.00040066958,0.000034261182],"about_ca_topic_score_codex":0.0018013855,"about_ca_topic_score_gemma":0.0017058168,"teacher_disagreement_score":0.0018013855,"about_ca_system_score_codex":0.00030100555,"about_ca_system_score_gemma":0.00022629042,"threshold_uncertainty_score":0.004560113},"labels":[],"label_agreement":null},{"id":"W3118758336","doi":"10.1109/tim.2021.3068171","title":"On the Identification of Electrical Equivalent Circuit Models Based on Noisy Measurements","year":2021,"lang":"en","type":"preprint","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"U.S. Naval Research Laboratory; Natural Sciences and Engineering Research Council of Canada; Office of Naval Research; Nuclear Safety and Security Commission; National Aeronautics and Space Administration","keywords":"Kalman filter; Noise (video); Equivalent circuit; Estimator; Least-squares function approximation; Recursive least squares filter; Computer science; Estimation theory; Identification (biology); System identification; Algorithm; Signal-to-noise ratio (imaging); Total least squares; Control theory (sociology); Filter (signal processing); Mathematics; Adaptive filter; Engineering; Statistics; Data modeling; Voltage; Telecommunications","score_opus":0.12136386413797041,"score_gpt":0.29162190827702167,"score_spread":0.17025804413905127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118758336","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0066195955,0.0003209635,0.9913976,0.00010689712,0.000023881286,0.0000152440625,0.00003663783,0.00022157667,0.0012576383],"genre_scores_gemma":[0.7363059,0.0042124186,0.25066015,0.00025757673,0.00021730323,0.00035130532,0.0006020431,0.00023682824,0.00715649],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991019,0.00030242244,0.00003785131,0.0001741034,0.00034229757,0.000041424704],"domain_scores_gemma":[0.9977083,0.0016395011,0.00022386863,0.00020676917,0.0002055596,0.000015984579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095467764,0.0010779877,0.0008244959,0.00058003253,0.00029679688,0.00088336563,0.0008426223,0.0010764074,0.0009395047],"category_scores_gemma":[0.008491038,0.00055732124,0.00066646317,0.00061783596,0.0012366021,0.001962583,0.0007914859,0.0011773669,0.0005485961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045809837,0.000023567372,0.0004884225,0.00014233508,0.000028405047,0.00007844351,0.000068076704,0.9331582,0.005085593,0.02479547,0.00040217466,0.03568352],"study_design_scores_gemma":[0.0000024894744,0.00001549402,0.00017625144,0.000012492611,0.000004442668,0.00002041401,0.0000045222764,0.9918468,0.0013511651,0.006051339,0.00050534535,0.000009279126],"about_ca_topic_score_codex":0.0033419493,"about_ca_topic_score_gemma":0.0019808712,"teacher_disagreement_score":0.0033419493,"about_ca_system_score_codex":0.00057773537,"about_ca_system_score_gemma":0.0005974367,"threshold_uncertainty_score":0.006644964},"labels":[],"label_agreement":null},{"id":"W3118912902","doi":"10.32672/jse.v6i1.2644","title":"Pemilihan Baterai Kendaraan Listrik dengan Metoda Weighted Objective","year":2021,"lang":"en","type":"article","venue":"Jurnal Serambi Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Battery (electricity); Automotive engineering; Lead–acid battery; Greenhouse gas; Battery capacity; Engineering; Anode; Waste management; Electrode; Power (physics); Chemistry","score_opus":0.007659414711441811,"score_gpt":0.2292235640884692,"score_spread":0.2215641493770274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118912902","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14790519,0.0020256732,0.7699134,0.0009851205,0.00023176357,0.0005881582,0.0013393678,0.00043331727,0.07657805],"genre_scores_gemma":[0.7149606,0.0012181045,0.24437824,0.00018786179,0.000053415348,0.00090304035,0.0012020294,0.00013395169,0.03696274],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994142,0.0002359067,0.000034787547,0.000086813365,0.00015202505,0.00007623558],"domain_scores_gemma":[0.99953175,0.00020776868,0.000056294903,0.000015571004,0.00016719346,0.00002148891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008667603,0.000923599,0.00071419304,0.00067785446,0.00034971873,0.0015456842,0.00064046984,0.0004928704,0.00845516],"category_scores_gemma":[0.0013957536,0.00014501302,0.00063452387,0.00090293086,0.00024560821,0.0009752807,0.00065869495,0.00057160464,0.0006128994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023072667,0.00033603061,0.006475702,0.0010105035,0.00018595232,0.0002737005,0.0001587917,0.6419897,0.00418154,0.035024162,0.005548428,0.3045848],"study_design_scores_gemma":[0.000041411357,0.00047789965,0.0030995377,0.00016445263,0.000087651126,0.0001153806,0.00031079852,0.9615016,0.0032488685,0.017495546,0.013421644,0.000035185876],"about_ca_topic_score_codex":0.0055568004,"about_ca_topic_score_gemma":0.0061180997,"teacher_disagreement_score":0.00845516,"about_ca_system_score_codex":0.0011263904,"about_ca_system_score_gemma":0.0012669247,"threshold_uncertainty_score":0.028285325},"labels":[],"label_agreement":null},{"id":"W3119964128","doi":"10.1109/tte.2021.3050987","title":"Sensitivity Analysis and Joint Estimation of Parameters and States for All-Solid-State Batteries","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Science Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Sensitivity (control systems); Battery (electricity); Discretization; State of charge; Control theory (sociology); Kalman filter; State-space representation; Lithium (medication); Joint (building); Voltage; Lithium-ion battery; Nonlinear system; Mathematics; Computer science; Algorithm; Engineering; Statistics; Physics; Electronic engineering; Power (physics); Thermodynamics; Mathematical analysis; Electrical engineering","score_opus":0.017086874369624427,"score_gpt":0.2707984040236433,"score_spread":0.2537115296540189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119964128","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.119442135,0.0005423944,0.877193,0.0002143196,0.000033552802,0.00005397172,0.000111558016,0.00034862716,0.0020603873],"genre_scores_gemma":[0.9890436,0.00020179371,0.010069033,0.000032213575,0.000008899387,0.000046695048,0.00008962897,0.000030939103,0.000477278],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989862,0.00030580896,0.00006268837,0.00019649237,0.00035305065,0.00009570822],"domain_scores_gemma":[0.9968086,0.0023704146,0.0002456264,0.00020013937,0.0003439115,0.000031378382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020444733,0.0009971173,0.0008395987,0.0008058655,0.00042361816,0.0009225111,0.00055138,0.00075700396,0.0005990341],"category_scores_gemma":[0.008247592,0.0005002515,0.0012693035,0.00044177924,0.0007357642,0.0012235729,0.0011259629,0.0008951541,0.00007872024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046173645,0.00001344341,0.0015456295,0.000057680518,0.00005687683,0.00007225311,0.000055235636,0.98622036,0.0023839732,0.0020407808,0.000099957026,0.0074077207],"study_design_scores_gemma":[0.0000024998726,0.000015977997,0.00066186045,0.000005685049,0.000013710006,0.000017916109,0.000014749707,0.99540085,0.0016413911,0.0020796543,0.00013234199,0.000013293783],"about_ca_topic_score_codex":0.008393961,"about_ca_topic_score_gemma":0.002685476,"teacher_disagreement_score":0.008393961,"about_ca_system_score_codex":0.00087978685,"about_ca_system_score_gemma":0.00071511284,"threshold_uncertainty_score":0.016690254},"labels":[],"label_agreement":null},{"id":"W3120260639","doi":"10.1002/aenm.202170006","title":"John B. Goodenough: Tribute to John B. Goodenough: From Magnetism to Rechargeable Batteries (Adv. Energy Mater. 2/2021)","year":2021,"lang":"en","type":"article","venue":"Advanced Energy Materials","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Tribute; Lithium (medication); Lithium metal; Magnetism; Chemistry; Nanotechnology; Engineering physics; Materials science; Physics; Physical chemistry; Art history; Condensed matter physics; Psychology; Art; Psychiatry","score_opus":0.011553482036366329,"score_gpt":0.24061332725292514,"score_spread":0.2290598452165588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120260639","genre_codex":"commentary","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011030112,0.17125882,0.0021590125,0.45581284,0.32888374,0.000050986575,0.00020256576,0.00017483455,0.04035421],"genre_scores_gemma":[0.022716613,0.113893166,0.0023132267,0.1450337,0.079478696,0.000058435093,0.00021251291,0.00026809686,0.63602555],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989409,0.0001169176,0.00005024637,0.00023879002,0.000557014,0.000096065174],"domain_scores_gemma":[0.9977556,0.0003910431,0.00012069652,0.0000717044,0.0010666185,0.00059426925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012131666,0.00054575945,0.00051190035,0.0010149591,0.0024031173,0.002987873,0.00094901136,0.0023289754,0.025013277],"category_scores_gemma":[0.0037927942,0.00034676943,0.00033691875,0.0006950463,0.0016636107,0.0023335435,0.0010817199,0.00528402,0.011785054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014795743,0.000008233421,0.000079358644,0.000053840115,0.0000044014632,0.000049975984,0.000041785894,0.000015260883,0.00028223064,0.0025093916,0.9778575,0.019083278],"study_design_scores_gemma":[0.00000407433,0.000018600447,0.0002615329,0.00008047652,0.0000038084463,0.0002622297,0.00006276891,0.000034105196,0.00050718576,0.0014477364,0.9973062,0.000011212783],"about_ca_topic_score_codex":0.008105219,"about_ca_topic_score_gemma":0.0106823575,"teacher_disagreement_score":0.025013277,"about_ca_system_score_codex":0.0015050095,"about_ca_system_score_gemma":0.0017817594,"threshold_uncertainty_score":0.08367771},"labels":[],"label_agreement":null},{"id":"W3121683905","doi":"10.1080/19397038.2020.1856968","title":"Electric vehicle battery state changes and reverse logistics considerations","year":2021,"lang":"en","type":"article","venue":"International Journal of Sustainable Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Scarcity; Electric vehicle; Automotive industry; Environmental economics; Battery capacity; Reverse logistics; Supply chain; Automotive engineering; Business; Computer science; Power (physics); Engineering; Economics","score_opus":0.010499001816199107,"score_gpt":0.24314178178521212,"score_spread":0.232642779969013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121683905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5941534,0.006407191,0.28253746,0.0068539893,0.00039287898,0.00011395646,0.0027685573,0.00037521374,0.10639732],"genre_scores_gemma":[0.98579806,0.0012303797,0.0032649096,0.000109229484,0.000027710457,0.000019034025,0.00027654608,0.000026803984,0.009247352],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99973494,0.00006337761,0.000010804902,0.000056010926,0.00007523048,0.00005966638],"domain_scores_gemma":[0.9992119,0.00039522565,0.000089201705,0.00005352354,0.00022861802,0.000021546888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045129773,0.00029274166,0.00029667522,0.00049688254,0.0003684031,0.0012591605,0.00070641335,0.00082127826,0.0044856584],"category_scores_gemma":[0.002200177,0.0002147155,0.0007079098,0.00044889073,0.00050592603,0.0024098847,0.0004843428,0.0006651848,0.00041694974],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120680845,0.00007417538,0.010612621,0.00019177273,0.000041536026,0.0008930853,0.00021301632,0.8422955,0.004190102,0.10048872,0.0033393889,0.037539423],"study_design_scores_gemma":[0.000006086898,0.00012522738,0.0042206664,0.00005205682,0.000047519075,0.0004346266,0.00044389511,0.9311277,0.003476204,0.048433613,0.011590927,0.00004148792],"about_ca_topic_score_codex":0.011518227,"about_ca_topic_score_gemma":0.010695993,"teacher_disagreement_score":0.011518227,"about_ca_system_score_codex":0.0013459534,"about_ca_system_score_gemma":0.00073025905,"threshold_uncertainty_score":0.02290237},"labels":[],"label_agreement":null},{"id":"W3121847086","doi":"10.20944/preprints201909.0337.v1","title":"Challenges of Fast Charging for Electric Vehicles and the Role of Red Phosphorus as Anode Material: Review","year":2019,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Argonne National Laboratory; Tsinghua University; National Natural Science Foundation of China; Department of Education of Guangdong Province; Canada Excellence Research Chairs, Government of Canada; U.S. Department of Energy","keywords":"Anode; Driving range; Battery (electricity); Automotive engineering; Range (aeronautics); Electrical engineering; Electric vehicle; Computer science; Engineering physics; Power (physics); Engineering; Electrode; Aerospace engineering; Physics","score_opus":0.06174862939123514,"score_gpt":0.32506944367610197,"score_spread":0.2633208142848668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121847086","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022484828,0.997511,0.0002698421,0.00046266688,0.00028719995,0.0000031439465,0.000009638162,0.0000040573086,0.0012275679],"genre_scores_gemma":[0.0018778471,0.9968656,0.00020381717,0.0002297392,0.00024978537,0.0000048326474,0.00001527903,0.0000033354318,0.0005497973],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996296,0.000052723102,0.000045032855,0.00009103726,0.00013981582,0.000041751304],"domain_scores_gemma":[0.9986957,0.00076655275,0.00012101953,0.000033585533,0.0003325599,0.000050606497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010496331,0.000703332,0.00094512367,0.0013022511,0.00037093041,0.0015029395,0.001118607,0.0020534045,0.0022755922],"category_scores_gemma":[0.0015829146,0.00039151497,0.00046641816,0.0021522187,0.0007533615,0.0026050666,0.0008308855,0.001492401,0.001271525],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008891474,0.00008248552,0.00036209932,0.038250558,0.00010121424,0.00028553672,0.00020970676,0.0018789946,0.0032972964,0.042332675,0.034615897,0.8784946],"study_design_scores_gemma":[0.000005025918,0.00010915817,0.00046995675,0.0037447375,0.00009295685,0.0006027853,0.00016377756,0.00029709842,0.0018053697,0.0064440193,0.9862402,0.00002498659],"about_ca_topic_score_codex":0.0015513557,"about_ca_topic_score_gemma":0.0017106746,"teacher_disagreement_score":0.0022755922,"about_ca_system_score_codex":0.00080268196,"about_ca_system_score_gemma":0.0016989673,"threshold_uncertainty_score":0.007612586},"labels":[],"label_agreement":null},{"id":"W3123186621","doi":"10.4271/2021-01-0223","title":"Extending Battery Lifetime of Electric Mining Vehicles through Thermal and Duty Cycle Management","year":2021,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Battery (electricity); Duty cycle; Thermal management of electronic devices and systems; Automotive engineering; Duty; Computer science; Environmental science; Engineering; Electrical engineering; Voltage; Mechanical engineering; Power (physics)","score_opus":0.011889592695630474,"score_gpt":0.2552965469444064,"score_spread":0.24340695424877593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123186621","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98026353,0.00015036647,0.014551,0.00006664979,0.000009394839,0.00002594832,0.0003083425,0.0005916386,0.0040332167],"genre_scores_gemma":[0.9962298,0.00006555478,0.0026542763,0.00000881425,0.0000011325121,0.000010890031,0.00013646498,0.00004463912,0.00084828644],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987435,0.000018522942,0.0000060905872,0.000021970394,0.000053860877,0.000025175686],"domain_scores_gemma":[0.9996443,0.0001397343,0.000030479745,0.000053517706,0.000115722774,0.000016281216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003254113,0.00029513548,0.00023279246,0.00035661552,0.00018937654,0.0003904209,0.00058189366,0.00021546548,0.0016439361],"category_scores_gemma":[0.0009367825,0.00014764772,0.00028138384,0.00034382226,0.00015517653,0.0006560914,0.00023589212,0.00020224992,0.00026843624],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036334395,0.00018411058,0.015417199,0.00015514107,0.000043204553,0.00012965438,0.00018535896,0.8385181,0.058842994,0.0007341622,0.0010203396,0.084406435],"study_design_scores_gemma":[0.000024130284,0.00035083402,0.005977012,0.000014500273,0.000052634314,0.00008202501,0.000079844496,0.940845,0.049133264,0.00059543125,0.002819571,0.000025718738],"about_ca_topic_score_codex":0.0061022975,"about_ca_topic_score_gemma":0.00897933,"teacher_disagreement_score":0.0061022975,"about_ca_system_score_codex":0.00055193994,"about_ca_system_score_gemma":0.0004321311,"threshold_uncertainty_score":0.012133539},"labels":[],"label_agreement":null},{"id":"W3123420053","doi":"10.14447/jnmes.v23i4.a10","title":"Effects of TiO2 Nanotube Size on the Performance of Li-Ion Battery with TiO2 Nanotube as Anode Material","year":2020,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Materials science; Battery (electricity); Anode; Diffractometer; Nanotube; Scanning electron microscope; Nanotechnology; Electrochemistry; Transmission electron microscopy; Chemical engineering; Nanowire battery; Lithium-ion battery; Carbon nanotube; Composite material; Electrode; Chemistry","score_opus":0.008956908023797642,"score_gpt":0.22188526497873795,"score_spread":0.2129283569549403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123420053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977144,0.0006582535,0.0005012817,0.000044573157,0.00002710624,0.0000064142605,0.00009101782,0.000023774119,0.0009331413],"genre_scores_gemma":[0.9982374,0.00045710715,0.0005482226,0.00002015636,0.000010103108,0.000012029233,0.000101035854,0.000016108133,0.00059779536],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998252,0.00002670387,0.000022520006,0.000042159227,0.000053392694,0.000030054334],"domain_scores_gemma":[0.9995596,0.00019848548,0.00005845583,0.00002547157,0.00012321424,0.000034771707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021797422,0.00029369857,0.00023802031,0.00021225297,0.00016577619,0.00033482653,0.0002864264,0.00040222844,0.001137073],"category_scores_gemma":[0.0008810587,0.00018308006,0.00016881815,0.00018945475,0.0001206424,0.00061129255,0.0001406435,0.00019157902,0.00023479082],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003379881,0.000035425997,0.00065231224,0.000066324246,0.000011211744,0.00010930869,0.000037775135,0.00031358397,0.99577796,0.00005484453,0.000047432088,0.0025559303],"study_design_scores_gemma":[0.0000062422173,0.00032036897,0.0025757402,0.0000053437543,0.000025229678,0.00008124133,0.00003549313,0.0015109676,0.99497885,0.000023804725,0.00042789828,0.000008749839],"about_ca_topic_score_codex":0.00057425065,"about_ca_topic_score_gemma":0.0011411873,"teacher_disagreement_score":0.001137073,"about_ca_system_score_codex":0.00017102454,"about_ca_system_score_gemma":0.0001104771,"threshold_uncertainty_score":0.0038039088},"labels":[],"label_agreement":null},{"id":"W3125088340","doi":"10.4271/2021-01-0284","title":"Development of a Lightweight Electric Light Duty Truck Structure","year":2021,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Motors (Canada)","funders":"","keywords":"Truck; Automotive engineering; Electric light; Duty; Computer science; Electrical engineering; Engineering","score_opus":0.009718596080342303,"score_gpt":0.24308716152715956,"score_spread":0.23336856544681725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125088340","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26287034,0.00019691292,0.6405876,0.00057054934,0.00038479478,0.00068223913,0.00065884483,0.0031266194,0.09092198],"genre_scores_gemma":[0.60774183,0.00029474005,0.32189023,0.0001323163,0.00002688543,0.00034937882,0.0009300408,0.0002868006,0.068347745],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998461,0.000005921911,0.0000046591895,0.00001635036,0.000111944006,0.000015082004],"domain_scores_gemma":[0.99984837,0.0000061323694,0.000012923131,0.00002083945,0.00008992358,0.000021943775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021890122,0.00025312667,0.00018054493,0.00039643553,0.00029416714,0.00038605975,0.00071409915,0.00042941573,0.0047903247],"category_scores_gemma":[0.00021630613,0.00017263244,0.00027320284,0.00016703825,0.00024398004,0.00039618503,0.00053594017,0.00040246814,0.0022212097],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062855645,0.00020871293,0.0014658485,0.00028862228,0.00001732582,0.0006244444,0.00029621655,0.03747851,0.7428496,0.0298595,0.008364185,0.1784842],"study_design_scores_gemma":[0.00012290262,0.0025621057,0.0060911523,0.00012348019,0.00005887481,0.001533735,0.0003316993,0.17940229,0.5246903,0.0044719977,0.28052557,0.000085947926],"about_ca_topic_score_codex":0.0008758941,"about_ca_topic_score_gemma":0.0015241688,"teacher_disagreement_score":0.0047903247,"about_ca_system_score_codex":0.00041564828,"about_ca_system_score_gemma":0.001082307,"threshold_uncertainty_score":0.016025245},"labels":[],"label_agreement":null},{"id":"W3125396164","doi":"10.1149/1945-7111/abdde4","title":"Using Lithium-ion Differential Thermal Analysis to Probe Tortuosity of Negative Electrodes in Lithium-Ion Cells","year":2021,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Electrode; Electrolyte; Tortuosity; Lithium (medication); Ion; Analytical Chemistry (journal); Chemistry; Materials science; Composite material; Chromatography","score_opus":0.013662422923959989,"score_gpt":0.26597791639498536,"score_spread":0.2523154934710254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125396164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95122296,0.0014659547,0.043841146,0.000068616406,0.00005365022,0.00004415222,0.00033979284,0.0002531823,0.0027106372],"genre_scores_gemma":[0.9823026,0.000462282,0.015806781,0.000041810803,0.000014310084,0.000032922784,0.00015588633,0.000023499117,0.0011598931],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998462,0.000018024719,0.000010237885,0.00003669035,0.000073436604,0.000015373884],"domain_scores_gemma":[0.9995633,0.00019578448,0.00007848354,0.000034878514,0.00010032619,0.00002721356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023546,0.00022834726,0.00014713361,0.0008331184,0.00027208275,0.00044882143,0.0002445336,0.00027823646,0.0010577897],"category_scores_gemma":[0.00091298117,0.00014501951,0.00009168729,0.0005790162,0.00035539016,0.00053339533,0.0002088608,0.00030150096,0.00021223535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000977073,0.000015805004,0.004542291,0.000054308446,0.000005877272,0.00006987949,0.00009315368,0.00032800197,0.985614,0.0002275488,0.00006127728,0.008890121],"study_design_scores_gemma":[0.000004207509,0.00012277711,0.023923146,0.000008909607,0.000017028828,0.000417963,0.00014054694,0.0074297977,0.9658482,0.00023546432,0.0018336766,0.000018296623],"about_ca_topic_score_codex":0.0005082672,"about_ca_topic_score_gemma":0.0009633303,"teacher_disagreement_score":0.0010577897,"about_ca_system_score_codex":0.0002504493,"about_ca_system_score_gemma":0.00009842914,"threshold_uncertainty_score":0.0035387278},"labels":[],"label_agreement":null},{"id":"W3127442777","doi":"10.1109/epec48502.2020.9320013","title":"Probabilistic Assessment of the Impact of Integrating Large-Scale High-Power Fast Charging Stations on the Power Quality in the Distribution Systems","year":2020,"lang":"en","type":"article","venue":"2020 IEEE Electric Power and Energy Conference (EPEC)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Harmonics; Total harmonic distortion; Flicker; Distortion (music); Power (physics); Voltage; Monte Carlo method; Electric power system; Probabilistic logic; Harmonic; Electrical engineering; Harmonic analysis; Automotive engineering; Computer science; Electronic engineering; Engineering; Mathematics; Physics; Acoustics; Statistics","score_opus":0.018561972757542913,"score_gpt":0.28840466950523097,"score_spread":0.26984269674768807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127442777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6959266,0.00039625532,0.29841042,0.0001831996,0.000025131674,0.0001409268,0.00019527608,0.00039533887,0.00432679],"genre_scores_gemma":[0.99668795,0.000047864854,0.0030073908,0.000007134335,0.000004412434,0.0000088742445,0.000041022427,0.0000084238045,0.00018700055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980075,0.000747516,0.000062441846,0.00017448468,0.0008660751,0.00014193583],"domain_scores_gemma":[0.9903205,0.006987851,0.0010588067,0.00054356724,0.00093864044,0.00015055315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026770884,0.0006368224,0.0005116557,0.00077103457,0.00038677457,0.0009825536,0.00066155184,0.0007534713,0.0011009868],"category_scores_gemma":[0.008394914,0.00041057394,0.0007754952,0.0007498101,0.00060079485,0.0012707642,0.00082449045,0.0006378043,0.0000931026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001013213,0.000027667016,0.009169724,0.00002441608,0.000056890214,0.00007186736,0.000019992622,0.9815586,0.0016666725,0.0008681326,0.00005106205,0.006383713],"study_design_scores_gemma":[0.0000114719305,0.00023001328,0.016348096,0.0000055392798,0.00006294243,0.000089755,0.000055723976,0.9799471,0.0020034125,0.0010686839,0.00015700031,0.00002011544],"about_ca_topic_score_codex":0.00553449,"about_ca_topic_score_gemma":0.0053060837,"teacher_disagreement_score":0.00553449,"about_ca_system_score_codex":0.0012838752,"about_ca_system_score_gemma":0.0006537075,"threshold_uncertainty_score":0.014157951},"labels":[],"label_agreement":null},{"id":"W3129438558","doi":"10.2139/ssrn.3581362","title":"Observation of the Electrolyte Wetting and 'Unwetting' in Li-Ion Pouch Cells Via Ultrasonic Scanning Technology","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Wetting; Electrolyte; Ultrasonic sensor; Pouch; Materials science; Ion; Chemical engineering; Analytical Chemistry (journal); Chemistry; Composite material; Chromatography; Acoustics; Physics; Engineering; Medicine; Organic chemistry; Physical chemistry; Surgery","score_opus":0.008152552984869285,"score_gpt":0.22088909934861262,"score_spread":0.21273654636374334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129438558","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993646,0.0003349954,0.005039143,0.000042713436,0.000017271535,0.0000069458315,0.00006216143,0.00007124778,0.0007794877],"genre_scores_gemma":[0.99704,0.00016371164,0.0017518781,0.00001999358,0.0000071365694,0.0000076001934,0.000044359003,0.000010222147,0.0009549785],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991655,0.0000075234416,0.0000051376896,0.000015940224,0.000037157264,0.000017639157],"domain_scores_gemma":[0.9997688,0.00011481572,0.00003929709,0.000029370698,0.000032223517,0.000015492215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013072517,0.00013905091,0.0001681755,0.00024426915,0.00017929343,0.00026601792,0.00029165688,0.00031474148,0.0011146171],"category_scores_gemma":[0.00031447154,0.00015467397,0.00013011492,0.00025302413,0.00042049403,0.00040343445,0.00022587071,0.00040062406,0.00016095415],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059088397,0.000008600735,0.0004936206,0.000028927607,0.0000032245127,0.00007820755,0.000085245505,0.00008583589,0.99624485,0.0001608065,0.000036817317,0.0027147813],"study_design_scores_gemma":[0.000004713308,0.00010261676,0.0049765916,0.0000024797364,0.00000658658,0.0001521291,0.0000894749,0.002179158,0.9918972,0.00007895236,0.0005026618,0.0000073975007],"about_ca_topic_score_codex":0.0003489963,"about_ca_topic_score_gemma":0.0002888655,"teacher_disagreement_score":0.0011146171,"about_ca_system_score_codex":0.000107112646,"about_ca_system_score_gemma":0.00011160231,"threshold_uncertainty_score":0.0037287474},"labels":[],"label_agreement":null},{"id":"W3131027321","doi":"10.1016/j.energy.2021.120116","title":"State of charge prediction of EV Li-ion batteries using EIS: A machine learning approach","year":2021,"lang":"en","type":"article","venue":"Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":269,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"State of charge; Battery (electricity); Kriging; Electrical impedance; Support vector machine; Engineering; Computer science; Process (computing); Nonlinear system; Artificial intelligence; Machine learning; Electrical engineering; Power (physics); Physics","score_opus":0.020134501061480296,"score_gpt":0.236139674504118,"score_spread":0.2160051734426377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131027321","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.721053,0.0011167348,0.26878542,0.00030664567,0.00011414334,0.000046697405,0.0006012933,0.0013442775,0.006631741],"genre_scores_gemma":[0.99439985,0.00011434374,0.0037855357,0.000018264125,0.000015904643,0.000010283569,0.00021079164,0.000008759588,0.0014363956],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993956,0.000010390879,0.0000054996453,0.000017784745,0.00001604822,0.0000106496345],"domain_scores_gemma":[0.9997528,0.00011929353,0.00002494124,0.000018958322,0.00007536244,0.000008679017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025430886,0.00047551194,0.0004666512,0.0005729221,0.00016384375,0.00065374357,0.00037762208,0.0005792803,0.0009530277],"category_scores_gemma":[0.0007458154,0.00015533181,0.00033138035,0.00035956418,0.0001382579,0.00056246005,0.00022572346,0.00040652754,0.00036194822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041436407,0.00028194292,0.022780672,0.00008984707,0.00008122257,0.00015306723,0.000040950865,0.81954604,0.009532833,0.0010907496,0.0014905524,0.1444978],"study_design_scores_gemma":[0.0000017082905,0.000014465721,0.0017256471,0.0000027716103,0.0000048500187,0.000009399433,0.0000060103616,0.99659216,0.0012494569,0.0002940698,0.00009652053,0.000002885327],"about_ca_topic_score_codex":0.0031760174,"about_ca_topic_score_gemma":0.0028374675,"teacher_disagreement_score":0.0031760174,"about_ca_system_score_codex":0.00023040148,"about_ca_system_score_gemma":0.0001626072,"threshold_uncertainty_score":0.0063150525},"labels":[],"label_agreement":null},{"id":"W3131614982","doi":"10.1109/tte.2021.3059545","title":"Driving Mode Predictor-Based Real-Time Energy Management for Dual-Source Electric Vehicle","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"European Regional Development Fund; Fonds de recherche du Québec – Nature et technologies; Fundação para a Ciência e a Tecnologia; Canada Research Chairs","keywords":"Mode (computer interface); Automotive engineering; Battery (electricity); Supercapacitor; Computer science; Energy (signal processing); Dual (grammatical number); Electric vehicle; Function (biology); Energy management; Power (physics); Simulation; Dual mode; Real-time computing; Engineering; Electronic engineering","score_opus":0.008437890519622288,"score_gpt":0.237001125982618,"score_spread":0.2285632354629957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131614982","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23867649,0.0005686448,0.7527045,0.00026293017,0.00011849868,0.00008660963,0.00024273623,0.0039804317,0.003359151],"genre_scores_gemma":[0.9733555,0.0000808664,0.025407914,0.000026851056,0.000017653474,0.000042090793,0.00013422033,0.000021166577,0.0009137999],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999057,0.000014598065,0.000005328409,0.00003334171,0.000027008045,0.000013919943],"domain_scores_gemma":[0.99975604,0.00008658174,0.000042109255,0.000018242048,0.000078224715,0.000018868092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023321544,0.0004291567,0.00032951092,0.00027773395,0.00015831042,0.00030875727,0.00042947367,0.00023333222,0.0009168189],"category_scores_gemma":[0.00060290034,0.00018623126,0.00012886856,0.00017745167,0.00010782559,0.00031131433,0.0002857388,0.00044949792,0.0002473774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036550692,0.00038275472,0.009308607,0.00010773526,0.000056047324,0.00013638796,0.000076196666,0.66029197,0.022767631,0.0010284069,0.0026463084,0.30283248],"study_design_scores_gemma":[0.0000037593884,0.000027392303,0.0007887042,0.0000017482862,0.0000037011819,0.0000075174316,0.0000037416723,0.9970067,0.0017929995,0.00015412425,0.00020678066,0.0000029091498],"about_ca_topic_score_codex":0.0036635536,"about_ca_topic_score_gemma":0.004589123,"teacher_disagreement_score":0.0036635536,"about_ca_system_score_codex":0.0002556062,"about_ca_system_score_gemma":0.00048637035,"threshold_uncertainty_score":0.007284403},"labels":[],"label_agreement":null},{"id":"W3133646412","doi":"10.30492/ijcce.2020.118203.3862","title":"Passive thermal management of a lithium-ion battery using carbon fiber loaded phase change material: comparison and optimization","year":2020,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Composite material; Phase-change material; Heat transfer; Thermal conductivity; Fiber; Lithium (medication); Composite number; Thermal; Carbon fibers; Battery (electricity); Battery pack; Heat flux; Ion; Thermodynamics; Chemistry","score_opus":0.2883594336465166,"score_gpt":0.5124034849288329,"score_spread":0.2240440512823163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133646412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97519195,0.0007356407,0.019371282,0.000079563986,0.000016550068,0.000042790605,0.00007867125,0.00010767708,0.0043758447],"genre_scores_gemma":[0.9910403,0.0003616338,0.007173763,0.0000066567936,0.000002895256,0.000029993003,0.000054957378,0.000017156139,0.0013126794],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99996305,0.000004284614,0.0000019648876,0.000008032379,0.000016477725,0.0000062839235],"domain_scores_gemma":[0.9999448,0.000016314743,0.000011574162,0.000004047486,0.000019225485,0.0000040600426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011022823,0.00025301593,0.00027070902,0.00019878184,0.00021483426,0.00041767873,0.00029888883,0.00026508392,0.00074401795],"category_scores_gemma":[0.00017609632,0.00013196292,0.00023493907,0.00025028267,0.00015250854,0.00047372427,0.00012224998,0.00012577354,0.00014209421],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004429569,0.00033499135,0.0023277001,0.0007410553,0.000037499434,0.00020390101,0.00009189111,0.27195147,0.6794016,0.0015778226,0.0004137289,0.04247541],"study_design_scores_gemma":[0.000051124367,0.0012103677,0.0030037414,0.000015544036,0.00007638037,0.00011892123,0.000106616055,0.7192812,0.27337477,0.00036427603,0.0023695473,0.000027581656],"about_ca_topic_score_codex":0.00077995413,"about_ca_topic_score_gemma":0.0016655268,"teacher_disagreement_score":0.00077995413,"about_ca_system_score_codex":0.00031295817,"about_ca_system_score_gemma":0.00020206258,"threshold_uncertainty_score":0.0024889708},"labels":[],"label_agreement":null},{"id":"W3135288554","doi":"10.1109/tte.2021.3063072","title":"Optimal Energy Management of Hybrid Storage Systems Using an Alternative Approach of Pontryagin’s Minimum Principle","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"European Regional Development Fund; Fonds de recherche du Québec – Nature et technologies; Fundação para a Ciência e a Tecnologia; Canada Research Chairs","keywords":"Pontryagin's minimum principle; Mathematics; Mathematical optimization; Optimal control","score_opus":0.025419421923130254,"score_gpt":0.27020080208697084,"score_spread":0.24478138016384057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135288554","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0063685025,0.00051581254,0.9849176,0.00024167473,0.000042510423,0.00003972123,0.000029453047,0.00005560412,0.0077891536],"genre_scores_gemma":[0.78644377,0.0015978881,0.20361382,0.0002001375,0.00012937693,0.00049798377,0.000113100665,0.00013360681,0.00727019],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997086,0.00011026722,0.000013644802,0.000046056786,0.00009160324,0.000029848754],"domain_scores_gemma":[0.9997943,0.00012703714,0.000021680438,0.000013757327,0.000034702905,0.000008589327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068040256,0.0008560018,0.00088671147,0.00041974074,0.00036972828,0.0011131358,0.0007103687,0.00083452754,0.0019380649],"category_scores_gemma":[0.0010457749,0.0004323002,0.00090830144,0.0005040072,0.00094209344,0.0010697764,0.0008997516,0.0010985511,0.0002132199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031581458,0.000029143714,0.00013270359,0.00015950238,0.00004101645,0.000065403554,0.000054048756,0.89653826,0.0028206585,0.080137365,0.0007618473,0.019228447],"study_design_scores_gemma":[0.000006470113,0.000025096733,0.00004084662,0.000006080759,0.00000430878,0.000010866736,0.0000061946384,0.98046815,0.0003297076,0.018371267,0.0007258706,0.0000051436577],"about_ca_topic_score_codex":0.0014817239,"about_ca_topic_score_gemma":0.0011573794,"teacher_disagreement_score":0.0019380649,"about_ca_system_score_codex":0.000677816,"about_ca_system_score_gemma":0.00091789046,"threshold_uncertainty_score":0.0064834952},"labels":[],"label_agreement":null},{"id":"W3135327858","doi":"10.4271/2021-01-0759","title":"Comparative Study between Equivalent Circuit and Recurrent Neural Network Battery Voltage Models","year":2021,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Equivalent circuit; Battery (electricity); Computer science; Voltage; Artificial neural network; Electrical engineering; Engineering; Artificial intelligence; Physics; Power (physics)","score_opus":0.058249445894935074,"score_gpt":0.30722105404311456,"score_spread":0.24897160814817948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135327858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5337134,0.0026019495,0.44615635,0.0005132585,0.00009940675,0.00006792664,0.0003754381,0.0024543214,0.014017984],"genre_scores_gemma":[0.9851916,0.0003693307,0.011986965,0.000042044172,0.000013761838,0.000040011153,0.000256671,0.000060523056,0.0020390088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981576,0.000063945554,0.000013635089,0.000042419477,0.000043220254,0.00002105921],"domain_scores_gemma":[0.99904996,0.00063927996,0.0000690055,0.00006616055,0.00015865143,0.000016961629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005948535,0.0007588776,0.0005751761,0.0004113992,0.00017699694,0.0006891664,0.0008578153,0.00076335453,0.0013323487],"category_scores_gemma":[0.0024702016,0.0002680593,0.0005487007,0.00030019705,0.00020092484,0.0012266436,0.00025355566,0.00049412256,0.0003330774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009985408,0.0000412435,0.0008068996,0.000060140075,0.000042764907,0.000052280564,0.00003261578,0.96770644,0.0016020822,0.0012059653,0.00030595934,0.028043654],"study_design_scores_gemma":[0.0000010793342,0.000012900907,0.00010061643,0.000001759447,0.000004393006,0.0000047621274,0.0000021353685,0.99947196,0.00020621085,0.00014152487,0.00005058415,0.0000020547843],"about_ca_topic_score_codex":0.013428483,"about_ca_topic_score_gemma":0.009928067,"teacher_disagreement_score":0.013428483,"about_ca_system_score_codex":0.0007282298,"about_ca_system_score_gemma":0.00043415162,"threshold_uncertainty_score":0.026700616},"labels":[],"label_agreement":null},{"id":"W3135344543","doi":"10.52196/208316.10","title":"Using advanced battery storage to cut energy costs","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Battery (electricity); Energy storage; Electricity; Stand-alone power system; Cost of electricity by source; Environmental economics; Grid energy storage; Environmental science; Automotive engineering; Business; Computer science; Waste management; Engineering; Electrical engineering; Distributed generation; Renewable energy; Electricity generation; Economics; Power (physics)","score_opus":0.03694530562187392,"score_gpt":0.285800340301828,"score_spread":0.24885503467995407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135344543","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33059546,0.016516741,0.21009897,0.012531526,0.0027599097,0.00042308218,0.0023151971,0.004756295,0.42000288],"genre_scores_gemma":[0.84760934,0.006239653,0.029120736,0.0011662737,0.00017732025,0.00007546784,0.0009847514,0.0003258021,0.11430062],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998203,0.00000789337,0.000005261057,0.000017139228,0.00011522519,0.000034217916],"domain_scores_gemma":[0.99963737,0.00002851004,0.00001453201,0.00002413092,0.00026964376,0.000025822737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017231128,0.0003883844,0.00027426294,0.00067574944,0.00060840114,0.0010502572,0.0007078919,0.0005412205,0.01861335],"category_scores_gemma":[0.0006169701,0.00015036282,0.00030844213,0.00092539855,0.00024947955,0.0013832222,0.0005572113,0.0006117675,0.0031493353],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006288827,0.0005008829,0.0041281683,0.0007772901,0.00012001762,0.00043672748,0.00020219866,0.016963812,0.101100735,0.052488606,0.0645882,0.75806445],"study_design_scores_gemma":[0.0004046128,0.00060326845,0.0139645925,0.00043790636,0.00019506375,0.00071850466,0.0007475904,0.052863073,0.17044893,0.041247047,0.71823424,0.00013529774],"about_ca_topic_score_codex":0.04386609,"about_ca_topic_score_gemma":0.120122336,"teacher_disagreement_score":0.04386609,"about_ca_system_score_codex":0.0013282975,"about_ca_system_score_gemma":0.00222571,"threshold_uncertainty_score":0.08722156},"labels":[],"label_agreement":null},{"id":"W3136648282","doi":"10.3390/en14071795","title":"Perspectives of Convertors and Communication Aspects in Automated Vehicles, Part 1: Convertors and Condition Monitoring","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski; Université du Québec à Chicoutimi","funders":"","keywords":"Converters; Automotive industry; Network topology; Radar; Electromagnetic interference; Electronic engineering; Component (thermodynamics); Engineering; Power (physics); Electrical engineering; Computer science; Telecommunications; Aerospace engineering; Computer network","score_opus":0.011265918019042543,"score_gpt":0.2624623626431168,"score_spread":0.25119644462407426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136648282","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015583372,0.86459816,0.049854446,0.0023926494,0.000829041,0.00004185199,0.00017186682,0.00016050946,0.06636811],"genre_scores_gemma":[0.098511666,0.8473453,0.023051683,0.0009300357,0.0013677877,0.000045964778,0.00041862603,0.000053102525,0.028275922],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996644,0.00006972248,0.000025130199,0.000074644384,0.00013122856,0.000034920522],"domain_scores_gemma":[0.9995091,0.00023329433,0.00004842232,0.000023745759,0.00016207223,0.00002341586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004242019,0.00064886967,0.0004148651,0.0022718604,0.00039502687,0.0018591754,0.00054327986,0.0008956015,0.00503749],"category_scores_gemma":[0.00052446907,0.00029186718,0.0002786246,0.0027915984,0.00047880292,0.003349306,0.00048696945,0.0008194095,0.0013877955],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009269041,0.00012693925,0.002238474,0.0041441624,0.00003364614,0.00037696355,0.00051434844,0.0043011215,0.013976215,0.08238165,0.015255629,0.87655824],"study_design_scores_gemma":[0.0000051164193,0.00042201346,0.0029996252,0.0016138667,0.0000519205,0.0017600153,0.0014337131,0.004312122,0.010289784,0.03234091,0.9447175,0.0000533607],"about_ca_topic_score_codex":0.00078706007,"about_ca_topic_score_gemma":0.0011288605,"teacher_disagreement_score":0.00503749,"about_ca_system_score_codex":0.0005177292,"about_ca_system_score_gemma":0.0004910804,"threshold_uncertainty_score":0.01685208},"labels":[],"label_agreement":null},{"id":"W3136903369","doi":"10.3390/batteries7010020","title":"Impact of Test Conditions While Screening Lithium-Ion Batteries for Capacity Degradation in Low Earth Orbit CubeSat Space Applications","year":2021,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Canadian Space Agency","keywords":"CubeSat; Datasheet; Environmental tests; Nuclear engineering; Power (physics); Materials science; Lithium (medication); Computer science; Orbit (dynamics); Satellite; Thermal; Degradation (telecommunications); Aerospace engineering; Automotive engineering; Environmental science; Physics; Reliability engineering; Thermodynamics; Telecommunications; Engineering","score_opus":0.029680323545167794,"score_gpt":0.2889791129418835,"score_spread":0.2592987893967157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136903369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865009,0.00044694883,0.007455626,0.00023420085,0.00013007263,0.00019455877,0.0012940487,0.0004347188,0.0033089456],"genre_scores_gemma":[0.9887617,0.00033790155,0.006756469,0.00040735668,0.000017580203,0.00024028543,0.0014430208,0.00029822753,0.0017375438],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982253,0.00023140559,0.00016195748,0.00026334415,0.00091875205,0.00019920958],"domain_scores_gemma":[0.9971378,0.0010289996,0.00018382771,0.0004225935,0.001109612,0.00011720837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013744301,0.00069962285,0.00040670298,0.00037643005,0.00087206834,0.0010424992,0.00082809257,0.00079434656,0.0029041464],"category_scores_gemma":[0.005011211,0.00030162805,0.0005103136,0.0005060447,0.000618617,0.0010948891,0.0007650353,0.0007958289,0.0007098003],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022341898,0.0005156911,0.025906863,0.00053364487,0.0001752253,0.00074815575,0.0007327373,0.012775249,0.925485,0.00071393984,0.0025776983,0.027601589],"study_design_scores_gemma":[0.000041185907,0.00216971,0.014961063,0.00004285689,0.00008650198,0.00033613888,0.0005529505,0.0048110676,0.9716281,0.00025968335,0.005045534,0.0000651287],"about_ca_topic_score_codex":0.0050236997,"about_ca_topic_score_gemma":0.009209283,"teacher_disagreement_score":0.0050236997,"about_ca_system_score_codex":0.0006796495,"about_ca_system_score_gemma":0.0005917036,"threshold_uncertainty_score":0.009988904},"labels":[],"label_agreement":null},{"id":"W3137944507","doi":"10.1109/tia.2021.3067300","title":"Implementation and System-Level Modeling of a Hardware Efficient Cell Balancing Circuit for Electric Vehicle Range Extension","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery pack; Converters; Driving cycle; Voltage; Battery (electricity); Load balancing (electrical power); Computer science; Dynamometer; Schedule; Electric vehicle; Automotive engineering; Range (aeronautics); Engineering; Electrical engineering; Power (physics)","score_opus":0.04092838820546157,"score_gpt":0.2884298991630701,"score_spread":0.24750151095760853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137944507","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14004695,0.0004322639,0.8315266,0.00027390552,0.00011921054,0.00027371047,0.0003668688,0.0028679536,0.024092536],"genre_scores_gemma":[0.92923474,0.00021691876,0.06162073,0.000061546176,0.000019905689,0.00016474446,0.00017688512,0.000088354675,0.008416134],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998865,0.000015412365,0.000005339349,0.000022017479,0.000053791722,0.00001692956],"domain_scores_gemma":[0.99990594,0.00001966773,0.000015709431,0.000016618687,0.00003805311,0.000004036824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000101955,0.0003217367,0.00024999122,0.00019815436,0.00026160054,0.0005622135,0.00090614986,0.0003332127,0.003949406],"category_scores_gemma":[0.00021002101,0.00017968279,0.0002981622,0.00014193008,0.00017112648,0.00057025836,0.00017882665,0.0003342375,0.0005596538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014537075,0.00015339136,0.0018896768,0.00036207025,0.00007193423,0.00023054371,0.00020259981,0.74541855,0.15934478,0.015326985,0.0030343046,0.07381978],"study_design_scores_gemma":[0.000018569295,0.00020567897,0.00061242515,0.000013205719,0.00002597759,0.000084256135,0.000019320818,0.9622988,0.027271602,0.0008496614,0.008589017,0.000011496175],"about_ca_topic_score_codex":0.0032009494,"about_ca_topic_score_gemma":0.005402345,"teacher_disagreement_score":0.003949406,"about_ca_system_score_codex":0.00057206437,"about_ca_system_score_gemma":0.00063131715,"threshold_uncertainty_score":0.013212085},"labels":[],"label_agreement":null},{"id":"W3139074580","doi":"10.18280/jesa.540114","title":"Application of Indirect Battery Charging Control System in Hybrid Small Power Plant","year":2021,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Battery (electricity); Controller (irrigation); Electrical engineering; Microcontroller; Automotive engineering; Engineering; Power (physics); Hybrid power; Computer science","score_opus":0.013496223690817122,"score_gpt":0.23127462709553434,"score_spread":0.2177784034047172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139074580","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44506764,0.0009796426,0.48656237,0.0007696705,0.00065109314,0.00062312704,0.0004243137,0.013569093,0.051353037],"genre_scores_gemma":[0.9838346,0.00009085056,0.008615371,0.000068097674,0.000028054525,0.000081588725,0.000060127742,0.0000334948,0.007187817],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979323,0.000026809832,0.000015532401,0.000043940723,0.00009872079,0.000021808255],"domain_scores_gemma":[0.9998042,0.000045082576,0.00001930814,0.00002946238,0.000085751664,0.000016288308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001741882,0.00027426975,0.0002963459,0.00027114968,0.00038532604,0.0005458564,0.0007410661,0.00037183854,0.0055527287],"category_scores_gemma":[0.00035348427,0.00010330357,0.00017649354,0.00021934981,0.00020637704,0.00030343214,0.00033766654,0.0002529402,0.0006032084],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012152528,0.00043058122,0.009166834,0.0011594498,0.0000892125,0.0021920025,0.00095697865,0.030258449,0.4800869,0.0044471435,0.012234965,0.45776242],"study_design_scores_gemma":[0.0005181475,0.0040819896,0.024257287,0.0001441685,0.00019791433,0.0032317657,0.0004533334,0.49205762,0.40090504,0.0038922634,0.07007891,0.00018169002],"about_ca_topic_score_codex":0.0012374913,"about_ca_topic_score_gemma":0.0010952934,"teacher_disagreement_score":0.0055527287,"about_ca_system_score_codex":0.000186186,"about_ca_system_score_gemma":0.000255633,"threshold_uncertainty_score":0.018575788},"labels":[],"label_agreement":null},{"id":"W3140536828","doi":"","title":"Improving HV battery efficiency by smart control systems","year":2015,"lang":"en","type":"article","venue":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Infineon Technologies (Canada)","funders":"","keywords":"Computer science; Battery (electricity); Control (management); Engineering; Artificial intelligence; Power (physics)","score_opus":0.015839915159035853,"score_gpt":0.23392519679034648,"score_spread":0.21808528163131063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3140536828","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0818649,0.1128098,0.1631154,0.011658789,0.011846629,0.00028131343,0.0028565777,0.0062922672,0.6092743],"genre_scores_gemma":[0.42980862,0.04520394,0.017542278,0.001118332,0.0023321917,0.000083896906,0.0018176556,0.0006408734,0.50145227],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988425,0.000018411942,0.000009282117,0.000022614702,0.00005338546,0.00001199589],"domain_scores_gemma":[0.99983275,0.000037899885,0.00001819983,0.000018147697,0.00008262952,0.000010379489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002685699,0.00044769852,0.00033258175,0.0005307814,0.00029087102,0.00096073723,0.00035068992,0.00051100965,0.055465344],"category_scores_gemma":[0.00041480278,0.00010889702,0.00027316948,0.0007034678,0.0002411668,0.0010090023,0.00038140788,0.00044562394,0.017625183],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038790714,0.00007782367,0.00043438034,0.00051217206,0.000031616233,0.000084432504,0.00007302746,0.0049894867,0.018572088,0.017220674,0.09535148,0.8622648],"study_design_scores_gemma":[0.00010785239,0.0006468472,0.0032856693,0.00048213784,0.00010557607,0.0003374625,0.00011617866,0.021880608,0.046146706,0.013154539,0.9136884,0.00004795067],"about_ca_topic_score_codex":0.0010196568,"about_ca_topic_score_gemma":0.0012493874,"teacher_disagreement_score":0.055465344,"about_ca_system_score_codex":0.00046183914,"about_ca_system_score_gemma":0.00037176942,"threshold_uncertainty_score":0.18555003},"labels":[],"label_agreement":null},{"id":"W3140669093","doi":"10.25071/10315/35324","title":"State Of Charge And Parameter Estimation Of Electric Vehicle Batteries","year":2018,"lang":"en","type":"article","venue":"Progress in Canadian Mechanical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"State of charge; State (computer science); Electric vehicle; Estimation; Charge (physics); Computer science; Automotive engineering; Electrical engineering; Engineering; Physics; Battery (electricity); Power (physics); Algorithm; Systems engineering","score_opus":0.009437572090344857,"score_gpt":0.24797198206285528,"score_spread":0.23853440997251044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3140669093","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09416678,0.0022911907,0.8986851,0.00016755574,0.000079157086,0.000024740035,0.00016827795,0.00047600263,0.003941182],"genre_scores_gemma":[0.9815838,0.0009952274,0.014907632,0.000027303564,0.00003573095,0.000027121718,0.00022640057,0.00002781957,0.0021691292],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998692,0.00003197694,0.000008621049,0.00003817377,0.000038124504,0.000013866002],"domain_scores_gemma":[0.99969804,0.00015677078,0.000037380745,0.000028577868,0.00007503274,0.0000041256358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002427829,0.0003960961,0.0005201949,0.00037048655,0.00016812434,0.0007078997,0.0003655703,0.0005224364,0.0006716192],"category_scores_gemma":[0.0022764944,0.00023859245,0.0003858327,0.00037006507,0.0001876383,0.00092322286,0.0002581324,0.00038408313,0.00022931838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040618397,0.00002372918,0.0016801334,0.00007704916,0.000034138848,0.000047186382,0.000051290284,0.91625476,0.004622855,0.0033664652,0.0005710642,0.073230796],"study_design_scores_gemma":[0.0000015207457,0.000006955464,0.00066836097,0.000004863732,0.0000043381137,0.000016148604,0.0000067017104,0.99676204,0.00096567563,0.0012541638,0.00030239834,0.000006916015],"about_ca_topic_score_codex":0.010229259,"about_ca_topic_score_gemma":0.004462396,"teacher_disagreement_score":0.010229259,"about_ca_system_score_codex":0.0003979994,"about_ca_system_score_gemma":0.0003210843,"threshold_uncertainty_score":0.02033943},"labels":[],"label_agreement":null},{"id":"W3141650342","doi":"10.3390/wevj12020054","title":"A Review of Range Extenders in Battery Electric Vehicles: Current Progress and Future Perspectives","year":2021,"lang":"en","type":"review","venue":"World Electric Vehicle Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":193,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Driving range; Range (aeronautics); Automotive industry; Automotive engineering; Battery (electricity); Electric vehicle; Gasoline; Internal combustion engine; Computer science; Engineering; Waste management","score_opus":0.025471323373879813,"score_gpt":0.3320796782295893,"score_spread":0.3066083548557095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3141650342","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016661001,0.9981223,0.00018111529,0.00015386204,0.00018726732,0.000005623313,0.000023219529,0.000008092638,0.0011520176],"genre_scores_gemma":[0.00055929634,0.9984971,0.00019948477,0.00009996851,0.0001191036,0.000005164588,0.000029875395,0.0000017251261,0.00048833824],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99965477,0.00004278759,0.000069635156,0.00006587406,0.00013820331,0.000028681501],"domain_scores_gemma":[0.9992654,0.00039161916,0.00009231852,0.000020266001,0.00019681419,0.000033615303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078823883,0.0010374567,0.0014489002,0.0032223081,0.000351639,0.0013597348,0.0011981165,0.0011764432,0.004727223],"category_scores_gemma":[0.0011211311,0.00047521404,0.0010192945,0.0041527124,0.00039696327,0.0026552598,0.000649928,0.001400705,0.002023499],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064554224,0.000100330355,0.00028052335,0.05078686,0.000105581195,0.00020581152,0.00011870462,0.0007266043,0.0022885387,0.006166008,0.02651041,0.91264594],"study_design_scores_gemma":[0.000008874012,0.00013458404,0.00064571784,0.0066574556,0.00017291203,0.00080992444,0.000087426386,0.00012631045,0.00063990086,0.0014345346,0.9892567,0.000025674328],"about_ca_topic_score_codex":0.0013926333,"about_ca_topic_score_gemma":0.0019757957,"teacher_disagreement_score":0.004727223,"about_ca_system_score_codex":0.00056246755,"about_ca_system_score_gemma":0.0013289992,"threshold_uncertainty_score":0.015814126},"labels":[],"label_agreement":null},{"id":"W31439817","doi":"10.1007/978-1-4614-7711-2_2","title":"Electric and Plug-in Hybrid Electric Vehicle Drive Train Topologies","year":2013,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Automotive engineering; Electric vehicle; Plug-in; Electric cars; Engineering; Electrical engineering; Computer science; Physics; Power (physics)","score_opus":0.01236885494381755,"score_gpt":0.22708501909370457,"score_spread":0.21471616414988703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W31439817","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025233205,0.007667885,0.30458665,0.00077926606,0.0016071344,0.00009460984,0.000598736,0.0011973624,0.6582352],"genre_scores_gemma":[0.2594719,0.011123438,0.05247528,0.0002526379,0.00039210194,0.00008747462,0.0013521855,0.00037310677,0.6744719],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99995065,0.000004709283,0.000001933685,0.000008332519,0.000028453776,0.0000059594595],"domain_scores_gemma":[0.99996257,0.0000074558593,0.0000019919366,0.000006258437,0.000017547367,0.0000041403396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000067696295,0.0004124447,0.00021256992,0.00033433054,0.00027830544,0.00068427244,0.00057424407,0.00028794655,0.020913776],"category_scores_gemma":[0.000112711255,0.00020033239,0.00023104096,0.000601542,0.00017660364,0.001218867,0.00036032888,0.00052590406,0.004398262],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011370602,0.00010925775,0.00033830275,0.00058334804,0.000037536625,0.00025026363,0.000143307,0.053430412,0.019382209,0.19362634,0.0628021,0.66918325],"study_design_scores_gemma":[0.000018397022,0.00014159431,0.0007892293,0.00018306058,0.000030512861,0.0012612903,0.00014853427,0.09244234,0.013450394,0.10021759,0.79128885,0.00002812454],"about_ca_topic_score_codex":0.00048916094,"about_ca_topic_score_gemma":0.0014286205,"teacher_disagreement_score":0.020913776,"about_ca_system_score_codex":0.00030992928,"about_ca_system_score_gemma":0.00015472471,"threshold_uncertainty_score":0.069963574},"labels":[],"label_agreement":null},{"id":"W3147908447","doi":"10.1109/access.2021.3069448","title":"A Review of Bidirectional On-Board Chargers for Electric Vehicles","year":2021,"lang":"en","type":"review","venue":"IEEE Access","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":359,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Automotive industry; Network topology; Smart grid; Electric vehicle; Computer science; Wireless; Grid; Automotive electronics; Electrical engineering; Automotive engineering; Power (physics); Telecommunications; Engineering; Computer network","score_opus":0.10041882554955202,"score_gpt":0.4122838048042893,"score_spread":0.3118649792547373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3147908447","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00044383144,0.9918669,0.0009000873,0.00024577093,0.0005623693,0.0000174914,0.00006543315,0.000021867814,0.005876218],"genre_scores_gemma":[0.0018621786,0.9931142,0.0009239514,0.0002294967,0.00027144622,0.000016732032,0.00009811208,0.000007699051,0.0034761704],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99972767,0.000031953878,0.000043382865,0.000052396834,0.000119574484,0.000025089379],"domain_scores_gemma":[0.99964404,0.000153495,0.000044848228,0.000015155076,0.000121158824,0.00002125845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048743852,0.0010310948,0.0008544433,0.002444355,0.0003561874,0.0010026539,0.00085074,0.0010354778,0.008237504],"category_scores_gemma":[0.0006776255,0.0004976198,0.0006497886,0.0029807962,0.0002417626,0.0019968858,0.0006014979,0.0010976023,0.0043664644],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006610987,0.00011364033,0.00019864317,0.032706536,0.000075747135,0.00025516943,0.00009422633,0.0008349487,0.0059581986,0.010435674,0.04357648,0.90568465],"study_design_scores_gemma":[0.000004373974,0.00010901752,0.00030415173,0.0020995368,0.00005691438,0.00050904317,0.00003614022,0.00014089898,0.0010559687,0.0009671958,0.9947008,0.000015936062],"about_ca_topic_score_codex":0.00082989404,"about_ca_topic_score_gemma":0.0013668753,"teacher_disagreement_score":0.008237504,"about_ca_system_score_codex":0.00035268714,"about_ca_system_score_gemma":0.00081703736,"threshold_uncertainty_score":0.027557194},"labels":[],"label_agreement":null},{"id":"W3152426643","doi":"10.1109/access.2021.3068776","title":"Lithium-Ion Battery Pack Robust State of Charge Estimation, Cell Inconsistency, and Balancing: Review","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":202,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery pack; State of charge; Battery (electricity); Computer science; Estimation; Reliability engineering; Automotive engineering; Power (physics); Engineering","score_opus":0.029169565196093122,"score_gpt":0.2900664475862649,"score_spread":0.2608968823901717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152426643","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010277391,0.9841118,0.011887839,0.0001945466,0.00034175592,0.000027454224,0.000062571715,0.00006526035,0.0022810262],"genre_scores_gemma":[0.016506944,0.974097,0.006680013,0.00018075941,0.00064548856,0.000040816518,0.00022018787,0.000029021578,0.0015997568],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99933976,0.0000876185,0.00010149956,0.00017939851,0.0002597291,0.00003204913],"domain_scores_gemma":[0.9974068,0.0013305326,0.000258788,0.00010021721,0.0008628876,0.000040736664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016266195,0.0011064248,0.0015720302,0.0018929051,0.0002445271,0.0015278319,0.0019805583,0.0011325707,0.0023004627],"category_scores_gemma":[0.0036810893,0.0006356109,0.0008325434,0.0032001354,0.000513505,0.0023566002,0.0006988591,0.00069205416,0.0013173461],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008266466,0.00005744785,0.0007813999,0.01570611,0.00017723473,0.000110497014,0.000065943605,0.0062139374,0.0015820339,0.004677389,0.010501987,0.9600433],"study_design_scores_gemma":[0.00003687554,0.0006301364,0.0047380547,0.009585328,0.0013810963,0.0025216732,0.00033035054,0.02633798,0.011060215,0.008690469,0.9344236,0.00026410833],"about_ca_topic_score_codex":0.002395306,"about_ca_topic_score_gemma":0.001537557,"teacher_disagreement_score":0.002395306,"about_ca_system_score_codex":0.0004739937,"about_ca_system_score_gemma":0.0011088427,"threshold_uncertainty_score":0.0086025},"labels":[],"label_agreement":null},{"id":"W3153340646","doi":"","title":"Design and Analysis of Heat Exchanger for Battery Thermal Management System","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Battery (electricity); Heat exchanger; Automotive engineering; Battery pack; Electric-vehicle battery; Computer cooling; Water cooling; Refrigerant; Phase-change material; Nuclear engineering; Thermal; Engineering; Mechanical engineering; Thermal management of electronic devices and systems; Power (physics); Thermodynamics","score_opus":0.014526226120172292,"score_gpt":0.25506586111948093,"score_spread":0.24053963499930864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153340646","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16576144,0.0020762207,0.78878486,0.00043620213,0.00026889014,0.00053371006,0.00029401892,0.0016694297,0.040175196],"genre_scores_gemma":[0.93144554,0.0006713477,0.047615085,0.000042482632,0.00003726206,0.00036014421,0.00016035898,0.00010143949,0.019566273],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975914,0.000037921753,0.00000896576,0.000044303233,0.00012529962,0.00002445514],"domain_scores_gemma":[0.9998852,0.000030368581,0.0000184879,0.000011151667,0.00004749596,0.000007394296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002806532,0.00035434513,0.0005035585,0.00032332487,0.00047960458,0.00075421267,0.00083962193,0.00058854534,0.006416294],"category_scores_gemma":[0.00033903102,0.00029720916,0.00058375986,0.00020456054,0.00026130964,0.000571108,0.0002898172,0.00034486043,0.0008541926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038580614,0.0001894606,0.003738873,0.0014737908,0.00012400578,0.00061001524,0.00039070362,0.5939517,0.28004143,0.01588843,0.0040992256,0.09910651],"study_design_scores_gemma":[0.000050559178,0.0006137105,0.0026985488,0.000049467355,0.00007889677,0.00022520893,0.00009544981,0.9193215,0.053969886,0.001219594,0.021642424,0.00003477643],"about_ca_topic_score_codex":0.0016842432,"about_ca_topic_score_gemma":0.0011929582,"teacher_disagreement_score":0.006416294,"about_ca_system_score_codex":0.00049464026,"about_ca_system_score_gemma":0.0006424265,"threshold_uncertainty_score":0.021464646},"labels":[],"label_agreement":null},{"id":"W3154061193","doi":"10.1109/tvt.2021.3071622","title":"Remaining Useful Life Assessment for Lithium-Ion Batteries Using CNN-LSTM-DNN Hybrid Method","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":291,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Artificial neural network; Reliability (semiconductor); Convolutional neural network; Battery (electricity); Artificial intelligence; Mean squared error; Deep learning; Reliability engineering; Machine learning; Engineering; Statistics; Mathematics","score_opus":0.033034302534706385,"score_gpt":0.325112979276077,"score_spread":0.2920786767413706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154061193","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29098403,0.0030884054,0.69300157,0.00036176186,0.00017621435,0.00009371006,0.00077238446,0.0034632545,0.008058566],"genre_scores_gemma":[0.9501641,0.000598473,0.045049693,0.00008222709,0.00003346569,0.000070421076,0.0005899851,0.00004395028,0.0033678524],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991643,0.000010856353,0.000007901856,0.000024897052,0.00002552695,0.000014401849],"domain_scores_gemma":[0.99984396,0.00004246447,0.000019498992,0.000008132855,0.000079082536,0.0000068429363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003197622,0.00080729,0.00035204622,0.00056140707,0.00018044561,0.00041923946,0.00065549166,0.00047534882,0.0010080918],"category_scores_gemma":[0.00064246927,0.00019384276,0.00040811938,0.0003983562,0.0001150575,0.00058410043,0.00026712118,0.00029250482,0.00024652132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002338623,0.000097777884,0.0063639944,0.00016391526,0.00010445074,0.00017080842,0.000057838297,0.66431326,0.011272245,0.0007388529,0.0026471466,0.31383577],"study_design_scores_gemma":[0.0000019230504,0.000009930422,0.00055350136,0.0000036115082,0.000008543708,0.0000081830985,0.0000050687086,0.99786264,0.0012697855,0.000158697,0.00011486751,0.0000033257575],"about_ca_topic_score_codex":0.016306914,"about_ca_topic_score_gemma":0.017778333,"teacher_disagreement_score":0.016306914,"about_ca_system_score_codex":0.0007191279,"about_ca_system_score_gemma":0.00044401456,"threshold_uncertainty_score":0.032423973},"labels":[],"label_agreement":null},{"id":"W3156070738","doi":"10.1109/tie.2021.3070514","title":"Deep Deterministic Policy Gradient-DRL Enabled Multiphysics-Constrained Fast Charging of Lithium-Ion Battery","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":236,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Multiphysics; Computer science; Reinforcement learning; Battery (electricity); Mathematical optimization; Control engineering; Engineering; Artificial intelligence; Mathematics; Physics; Finite element method; Power (physics)","score_opus":0.023374373653515322,"score_gpt":0.2610221901651949,"score_spread":0.23764781651167957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156070738","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048964277,0.0004056053,0.94213617,0.00033963117,0.00008705409,0.000057217487,0.000045001154,0.0010003496,0.0069646565],"genre_scores_gemma":[0.96880126,0.00009408721,0.028864998,0.00012403603,0.000014609394,0.000061119696,0.00003963122,0.000043341515,0.001957004],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998534,0.000025675954,0.0000073743076,0.00003133117,0.000049620197,0.0000325664],"domain_scores_gemma":[0.9996985,0.000127903,0.00005410844,0.000030038093,0.000066387285,0.000023076163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004084629,0.00060091226,0.00055715576,0.00018101274,0.0002430511,0.00062017224,0.0008481386,0.0005042746,0.0013490944],"category_scores_gemma":[0.0010957927,0.00025870424,0.0002825158,0.00013740678,0.0005439457,0.00059848424,0.0008609216,0.00087790226,0.00023669009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009039474,0.00006687186,0.00064756634,0.000078071,0.000024868916,0.00008500283,0.00006021231,0.9323147,0.006301949,0.005874289,0.001031946,0.053424165],"study_design_scores_gemma":[0.0000051198854,0.000021466838,0.000043551616,0.0000025109184,0.000002363647,0.000006302067,0.000002664402,0.99816245,0.0006667125,0.00086084637,0.00022364437,0.0000023754405],"about_ca_topic_score_codex":0.0038763701,"about_ca_topic_score_gemma":0.0044051083,"teacher_disagreement_score":0.0038763701,"about_ca_system_score_codex":0.0005602687,"about_ca_system_score_gemma":0.0009431828,"threshold_uncertainty_score":0.007707596},"labels":[],"label_agreement":null},{"id":"W3156137414","doi":"10.3390/technologies9020028","title":"Review of Battery Management Systems (BMS) Development and Industrial Standards","year":2021,"lang":"en","type":"article","venue":"Technologies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":458,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"University of Waterloo","keywords":"Battery (electricity); Reliability engineering; Key (lock); Energy storage; Management system; Computer science; Component (thermodynamics); Event (particle physics); Systems engineering; Energy management system; Energy management; Engineering; Embedded system; Energy (signal processing); Power (physics); Operations management; Computer security","score_opus":0.03654751515533264,"score_gpt":0.2828954207211557,"score_spread":0.24634790556582306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156137414","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011410575,0.965125,0.008861861,0.001913922,0.0017957485,0.00009064987,0.000246896,0.000091934024,0.020732945],"genre_scores_gemma":[0.007615693,0.9757505,0.0078009875,0.0010175157,0.0010094197,0.00010822182,0.00068995595,0.000037926882,0.0059698466],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99750143,0.00035550504,0.00047054386,0.00026707424,0.0012912584,0.00011424776],"domain_scores_gemma":[0.99485755,0.0016662132,0.000476239,0.00022204229,0.0026698806,0.00010808791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026127866,0.0009406377,0.0009902734,0.004166412,0.00059955445,0.0018026386,0.0020301938,0.0017485848,0.0035639093],"category_scores_gemma":[0.004657037,0.00062431284,0.0007636611,0.0050411983,0.0008044089,0.0031825819,0.00093459565,0.0014130137,0.0025875177],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065809494,0.00010514403,0.0006731319,0.028281614,0.00006302156,0.0002783369,0.00022018807,0.003291707,0.0038900825,0.051264286,0.06583661,0.84603006],"study_design_scores_gemma":[0.000003138431,0.000073466304,0.0006605904,0.003448127,0.00003373095,0.0003483056,0.000086070635,0.00034356862,0.0011068933,0.003133809,0.9907408,0.000021603213],"about_ca_topic_score_codex":0.0029702599,"about_ca_topic_score_gemma":0.0023757278,"teacher_disagreement_score":0.004166412,"about_ca_system_score_codex":0.0014479631,"about_ca_system_score_gemma":0.0044379286,"threshold_uncertainty_score":0.013817906},"labels":[],"label_agreement":null},{"id":"W3156471147","doi":"10.1149/1945-7111/ac3159","title":"On Uncertainty Quantification in the Parametrization of Newman-Type Models of Lithium-Ion Batteries","year":2021,"lang":"en","type":"preprint","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Faraday Institution; University of Texas at San Antonio","keywords":"Parametrization (atmospheric modeling); Inverse; Inverse problem; Uncertainty quantification; Bayesian inference; Voltage; Bayesian probability; Applied mathematics; Algorithm; Mathematics; Computer science; Statistical physics; Mathematical optimization; Physics; Statistics; Mathematical analysis; Quantum mechanics","score_opus":0.028176916540597403,"score_gpt":0.28504543704553215,"score_spread":0.25686852050493475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156471147","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034294758,0.000853369,0.9603672,0.00051076844,0.000044024273,0.000052768304,0.00015690492,0.0001404401,0.003579693],"genre_scores_gemma":[0.83390814,0.0019010489,0.1588528,0.00029267298,0.00015864865,0.00040331137,0.0006059529,0.0003255855,0.0035517926],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99704427,0.0016245864,0.00014836715,0.00046018753,0.00058675755,0.00013578315],"domain_scores_gemma":[0.987983,0.00923945,0.0010643926,0.00091722916,0.00056676153,0.00022925154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007359048,0.0020045608,0.001869414,0.0018336138,0.000836088,0.0030947395,0.0031492857,0.0023913884,0.0013307877],"category_scores_gemma":[0.033046514,0.0010971993,0.0018181284,0.0013392901,0.0044125845,0.004547959,0.0033084126,0.002878504,0.00030679072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004156446,0.000019312043,0.00053163053,0.00008656931,0.00003820679,0.00009155993,0.00014553942,0.8614437,0.001082187,0.13231388,0.00016837734,0.004037401],"study_design_scores_gemma":[0.0000049934524,0.000018672832,0.0001481983,0.00003482933,0.000008201058,0.00004259958,0.000023094224,0.85379297,0.00048508384,0.1447914,0.0006136955,0.000036313642],"about_ca_topic_score_codex":0.0027372155,"about_ca_topic_score_gemma":0.0013758201,"teacher_disagreement_score":0.007359048,"about_ca_system_score_codex":0.0022700345,"about_ca_system_score_gemma":0.0010017845,"threshold_uncertainty_score":0.038918793},"labels":[],"label_agreement":null},{"id":"W3156717799","doi":"10.1109/tte.2021.3102192","title":"A Three-Phase Electric Vehicle Charger Integrated With Dual-Inverter Drive","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dual (grammatical number); Inverter; Automotive engineering; Electric vehicle; Electrical engineering; Phase (matter); Single-phase electric power; Computer science; Engineering; Physics; Voltage; Power (physics); Art; Power factor","score_opus":0.012875431206733451,"score_gpt":0.24755648604675345,"score_spread":0.23468105484002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156717799","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37278202,0.0006679084,0.5785978,0.0003908994,0.00049181597,0.00052204967,0.0005911853,0.012551182,0.033405107],"genre_scores_gemma":[0.8875369,0.00022764209,0.08662842,0.00019673313,0.00005940454,0.00011977055,0.00051330123,0.00015794161,0.024559973],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996669,0.000031091688,0.000020572628,0.00007200941,0.00017811744,0.00003124325],"domain_scores_gemma":[0.9998765,0.000014772247,0.000014431368,0.000022853577,0.00005638676,0.000015060501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016304347,0.00035995655,0.00064508617,0.00029755337,0.00028459064,0.00054591027,0.0012895175,0.0005356822,0.0039035012],"category_scores_gemma":[0.00027566677,0.00020508119,0.00040562425,0.00028442926,0.000112082125,0.00045401722,0.00037547437,0.0005431318,0.002006226],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094441656,0.000662973,0.0029031767,0.00065954303,0.00014228633,0.0015069973,0.00029738847,0.009548135,0.6484623,0.0043554525,0.008964457,0.32155287],"study_design_scores_gemma":[0.00065084675,0.006072292,0.015306602,0.00008939278,0.00038546868,0.006979111,0.00013822415,0.33512115,0.5232258,0.0011852635,0.11063133,0.0002144542],"about_ca_topic_score_codex":0.0008654329,"about_ca_topic_score_gemma":0.0008449567,"teacher_disagreement_score":0.0039035012,"about_ca_system_score_codex":0.0001932692,"about_ca_system_score_gemma":0.0002687269,"threshold_uncertainty_score":0.013058543},"labels":[],"label_agreement":null},{"id":"W3158343052","doi":"10.1016/j.dib.2021.107071","title":"Experimental data on open circuit voltage characterization for Li-ion batteries","year":2021,"lang":"en","type":"article","venue":"Data in Brief","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Office of Naval Research; U.S. Naval Research Laboratory; Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Voltage; Current (fluid); Open-circuit voltage; Ion; Materials science; Range (aeronautics); Electrical engineering; Characterization (materials science); Nuclear engineering; Computer science; Chemistry; Physics; Engineering; Nanotechnology; Power (physics); Composite material","score_opus":0.1145113075969374,"score_gpt":0.35392675693773507,"score_spread":0.23941544934079767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158343052","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75380236,0.006193619,0.025187848,0.000577966,0.0003537462,0.00036129853,0.19313511,0.004058686,0.016329328],"genre_scores_gemma":[0.7366169,0.0030362355,0.013780971,0.00035851423,0.00016833947,0.0008290884,0.2409625,0.00038337492,0.0038640432],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985821,0.0000985043,0.00022819759,0.0003049829,0.0006680506,0.00011817371],"domain_scores_gemma":[0.99630004,0.0007460653,0.00037021356,0.0005659931,0.001932895,0.000084784915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000988208,0.0010660741,0.0008978607,0.0020830939,0.0006458376,0.00097089505,0.0012781383,0.0009550378,0.0034890946],"category_scores_gemma":[0.0040237294,0.00020715555,0.00065219094,0.0033075053,0.00044748434,0.0014213517,0.00068171043,0.00063858466,0.0020908336],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038805213,0.0019445944,0.18315747,0.011008822,0.00095418404,0.0018269011,0.0010481611,0.048293214,0.25977364,0.0038033137,0.119802825,0.36450636],"study_design_scores_gemma":[0.00019918222,0.0016916479,0.27277866,0.0005615919,0.00046712058,0.004640651,0.0010555044,0.052106265,0.49956003,0.0051096766,0.1614275,0.00040225382],"about_ca_topic_score_codex":0.0010717829,"about_ca_topic_score_gemma":0.002042519,"teacher_disagreement_score":0.0034890946,"about_ca_system_score_codex":0.0003917123,"about_ca_system_score_gemma":0.00043042187,"threshold_uncertainty_score":0.011672199},"labels":[],"label_agreement":null},{"id":"W3159309938","doi":"10.1007/s13762-021-03312-3","title":"Electric vehicle viability: evaluated for a Canadian subarctic region company","year":2021,"lang":"en","type":"article","venue":"International Journal of Environmental Science and Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Nuclear Laboratories","funders":"","keywords":"Scope (computer science); Battery (electricity); Work (physics); Environmental science; Battery electric vehicle; Workload; Total cost of ownership; Business; Environmental economics; Computer science; Engineering","score_opus":0.012265245143968906,"score_gpt":0.2625464684916223,"score_spread":0.25028122334765335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159309938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95782596,0.0004843387,0.0006431952,0.00044460403,0.000032837084,0.00022322977,0.0019595004,0.00011007373,0.038276274],"genre_scores_gemma":[0.9823172,0.00051371113,0.0010776815,0.0000715006,0.0000060740795,0.000029717896,0.0018670645,0.000025135481,0.014091877],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913186,0.00004937681,0.000012301366,0.00006191952,0.00050921296,0.00023539762],"domain_scores_gemma":[0.9976998,0.00011385604,0.00005776875,0.000041508167,0.0017483658,0.00033874987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009876841,0.0005756181,0.00026726257,0.0014506205,0.0025405888,0.0021725944,0.0011857281,0.00070599135,0.0036264549],"category_scores_gemma":[0.0016288962,0.00014849004,0.0004588348,0.0014990903,0.00055998174,0.00095441117,0.0006741385,0.00045935778,0.00060560164],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008136463,0.0025789677,0.55057615,0.0005418665,0.0004917655,0.004781458,0.0020655466,0.08794209,0.04901409,0.007035179,0.032574683,0.25426173],"study_design_scores_gemma":[0.00046252864,0.007542314,0.77472985,0.0002314138,0.0010208114,0.0011532452,0.022905184,0.05588486,0.036183633,0.0013405439,0.09826757,0.0002780824],"about_ca_topic_score_codex":0.93307817,"about_ca_topic_score_gemma":0.96637046,"teacher_disagreement_score":0.06692183,"about_ca_system_score_codex":0.019050369,"about_ca_system_score_gemma":0.02147518,"threshold_uncertainty_score":0.13822073},"labels":[],"label_agreement":null},{"id":"W3163186756","doi":"10.1109/tia.2021.3079376","title":"Testing a Bus-Differential Protection for Buses Interconnecting Battery Storage Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fault (geology); Differential protection; Slack bus; Differential (mechanical device); Interconnection; Busbar; Engineering; Sensitivity (control systems); Battery (electricity); Local bus; Power (physics); Voltage; Electrical engineering; System bus; Automotive engineering; Computer science; Control bus; Electronic engineering; AC power; Power-flow study; Computer hardware; Telecommunications","score_opus":0.061195163884741686,"score_gpt":0.28651265783597746,"score_spread":0.22531749395123576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163186756","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93038905,0.0001466668,0.066342555,0.00008108567,0.00006506147,0.00015687643,0.00018045951,0.001395761,0.0012425128],"genre_scores_gemma":[0.99463046,0.00004671217,0.0046967375,0.000016843924,0.000005887998,0.000020225802,0.00006124397,0.000019819321,0.0005020772],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99922025,0.00019665257,0.00006022767,0.00011018687,0.0003070898,0.000105568266],"domain_scores_gemma":[0.9984717,0.00040287475,0.00026554673,0.00033469062,0.00041357914,0.000111530186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048712155,0.00084946747,0.00040032435,0.0005321182,0.0002912087,0.00043271523,0.0012736783,0.0005843413,0.0019782202],"category_scores_gemma":[0.0019019209,0.00024117829,0.0002103848,0.00031619205,0.00046140348,0.00096752966,0.00051145407,0.00052318565,0.00038688423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002819201,0.00037027386,0.01721124,0.0011026602,0.00015431747,0.001610089,0.0010309941,0.041965198,0.82735974,0.0020964583,0.0013277314,0.10295202],"study_design_scores_gemma":[0.0001995582,0.008468881,0.012091144,0.000067253626,0.00010435734,0.0013791464,0.00024632938,0.11271461,0.85847104,0.00081106526,0.005396943,0.00004970799],"about_ca_topic_score_codex":0.00065851165,"about_ca_topic_score_gemma":0.0005734573,"teacher_disagreement_score":0.0019782202,"about_ca_system_score_codex":0.0004326993,"about_ca_system_score_gemma":0.00029919986,"threshold_uncertainty_score":0.0066177845},"labels":[],"label_agreement":null},{"id":"W3164573835","doi":"10.1002/ente.202000984","title":"Recent Advancements in Battery Management System for Li‐Ion Batteries of Electric Vehicles: Future Role of Digital Twin, Cyber‐Physical Systems, Battery Swapping Technology, and Nondestructive Testing","year":2021,"lang":"en","type":"article","venue":"Energy Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Battery (electricity); Battery pack; Engineering; State of health; Embedded system; Computer science; Automotive engineering; Reliability engineering; Systems engineering","score_opus":0.007549822264546757,"score_gpt":0.2248052695589605,"score_spread":0.21725544729441373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164573835","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009591269,0.9108149,0.03982597,0.0034105524,0.0011029223,0.00008337264,0.00018459915,0.0002213171,0.034765042],"genre_scores_gemma":[0.091492735,0.863223,0.02774357,0.0013178359,0.0010380158,0.000090265734,0.00048747796,0.000056152287,0.014550905],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993474,0.00009945231,0.00008174321,0.0001365702,0.00029275744,0.000042117063],"domain_scores_gemma":[0.99853075,0.00044064564,0.00013186035,0.00007116868,0.0007726528,0.000052866584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014009445,0.00071382965,0.0005037392,0.0015907572,0.00039351272,0.0013998216,0.0010097143,0.0010286865,0.0033008938],"category_scores_gemma":[0.0013025848,0.00030335897,0.0004407115,0.0027335251,0.00062241405,0.004068692,0.0008906946,0.0010000498,0.0012200257],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012898548,0.000071062175,0.002246657,0.006556027,0.000043444245,0.00021707501,0.0002910647,0.0029504625,0.014757575,0.03856604,0.013579144,0.92059237],"study_design_scores_gemma":[0.000010804346,0.0004362696,0.0024379527,0.0017180176,0.00016656505,0.0013465155,0.0006115895,0.007567623,0.022724023,0.015785305,0.94711167,0.00008363284],"about_ca_topic_score_codex":0.0009682803,"about_ca_topic_score_gemma":0.0010461161,"teacher_disagreement_score":0.0033008938,"about_ca_system_score_codex":0.00084501103,"about_ca_system_score_gemma":0.0013373285,"threshold_uncertainty_score":0.0110426545},"labels":[],"label_agreement":null},{"id":"W3166348466","doi":"10.3390/cleantechnol3020028","title":"A Review of Heavy-Duty Vehicle Powertrain Technologies: Diesel Engine Vehicles, Battery Electric Vehicles, and Hydrogen Fuel Cell Electric Vehicles","year":2021,"lang":"en","type":"review","venue":"Clean Technologies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":378,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Powertrain; Automotive engineering; Diesel fuel; Battery electric vehicle; Battery (electricity); Electric vehicle; Engineering; Power (physics)","score_opus":0.022333286602981294,"score_gpt":0.27696862168902336,"score_spread":0.2546353350860421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166348466","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003329141,0.9944323,0.00046107397,0.0002650034,0.00033126498,0.000017278562,0.00011742342,0.000021433292,0.004021302],"genre_scores_gemma":[0.0011466754,0.99670756,0.00041100575,0.00012704752,0.00013879384,0.000011543074,0.00012089893,0.0000031724055,0.0013332948],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99968004,0.000034798195,0.00005263107,0.000058216905,0.00014867385,0.000025558349],"domain_scores_gemma":[0.99959105,0.00016402038,0.00007103868,0.000013273549,0.00013853362,0.00002209472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044123566,0.0012042479,0.0010364095,0.0035581922,0.00035364082,0.0012242391,0.000890839,0.0008389094,0.0064615514],"category_scores_gemma":[0.00077596604,0.0003852643,0.00080780336,0.004685535,0.00027759073,0.0018924547,0.00051370915,0.0010326175,0.0023958941],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004869129,0.0001095925,0.0002850116,0.07263454,0.00015313324,0.00021046106,0.00011375815,0.0008292939,0.004193715,0.0065597733,0.039935246,0.87492687],"study_design_scores_gemma":[0.000005207793,0.00008030187,0.0006516712,0.0060804505,0.00015835927,0.00044475833,0.000059669706,0.00011621821,0.00085543044,0.0013148059,0.99021626,0.00001695369],"about_ca_topic_score_codex":0.0016519144,"about_ca_topic_score_gemma":0.0029988792,"teacher_disagreement_score":0.0064615514,"about_ca_system_score_codex":0.0006146591,"about_ca_system_score_gemma":0.0017740916,"threshold_uncertainty_score":0.021616101},"labels":[],"label_agreement":null},{"id":"W3166821157","doi":"10.3390/en14123373","title":"A Comparative Study of Adaptive Filtering Strategies for Hybrid Energy Storage Systems in Electric Vehicles","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"European Regional Development Fund; Fonds de recherche du Québec – Nature et technologies; Fundação para a Ciência e a Tecnologia; Canada Research Chairs","keywords":"Emulation; Battery (electricity); Context (archaeology); Computer science; Electric vehicle; Energy storage; Energy (signal processing); Automotive engineering; Energy management; Voltage; Engineering; Electrical engineering","score_opus":0.035860269330304256,"score_gpt":0.28337872364400796,"score_spread":0.2475184543137037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166821157","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43779764,0.0063586724,0.5294603,0.00032289673,0.00016572312,0.00019874697,0.00006853005,0.00034448016,0.02528308],"genre_scores_gemma":[0.9875802,0.0006295591,0.0106942,0.000025704057,0.000013549672,0.00002679363,0.000022198448,0.000007184773,0.0010006907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998466,0.00003528478,0.000016060047,0.000029130924,0.000054551816,0.000018340887],"domain_scores_gemma":[0.99965334,0.00017585531,0.000029410832,0.000024722724,0.000106783584,0.0000098213295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004986521,0.0004550295,0.00034261684,0.0003632784,0.0002125527,0.00052098633,0.00031742526,0.0003727793,0.0010644413],"category_scores_gemma":[0.0008659212,0.00009510869,0.0003602643,0.00020998679,0.0001664857,0.0004112088,0.000168091,0.00023688786,0.00013407196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007435135,0.00034124972,0.00352214,0.0007298994,0.0002139794,0.00014154684,0.00025053613,0.50592977,0.03653249,0.010193645,0.00085264526,0.44054854],"study_design_scores_gemma":[0.00002956902,0.0010559219,0.0030623442,0.000041589745,0.00008591239,0.00007254758,0.00009461012,0.98074913,0.010714813,0.0014516497,0.0026222698,0.00001963656],"about_ca_topic_score_codex":0.002419507,"about_ca_topic_score_gemma":0.001935425,"teacher_disagreement_score":0.002419507,"about_ca_system_score_codex":0.0003336762,"about_ca_system_score_gemma":0.00019598914,"threshold_uncertainty_score":0.0048108697},"labels":[],"label_agreement":null},{"id":"W3171701346","doi":"10.1109/access.2021.3085244","title":"Is It Necessary to Fully Charge Your Electric Vehicle?","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Electric vehicle; State of charge; Automotive engineering; Computer science; Battery (electricity); Charge control; Electrical engineering; Engineering; Power (physics); Physics","score_opus":0.054876746624029867,"score_gpt":0.3472762634545011,"score_spread":0.2923995168304712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171701346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6276412,0.009461615,0.17718486,0.05273913,0.0016492201,0.00016739793,0.0006535808,0.00045560315,0.13004737],"genre_scores_gemma":[0.9887446,0.002020586,0.00491736,0.00077163195,0.00008466274,0.00001196597,0.000059426337,0.000017806135,0.0033719656],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996574,0.000087405286,0.000013533225,0.000070190465,0.00008610732,0.00008525573],"domain_scores_gemma":[0.9992422,0.00036378475,0.00012116765,0.000044581935,0.00017074477,0.00005768594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042041647,0.00019159017,0.00018670455,0.00011759996,0.00027181595,0.000782891,0.00038466096,0.00071564224,0.0043360186],"category_scores_gemma":[0.002092481,0.00009028831,0.0002165459,0.00017439877,0.00056116283,0.0017561886,0.00027568833,0.0003632298,0.0006580126],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012678255,0.00037939014,0.037895504,0.0014600802,0.00014011262,0.0011082696,0.0006369411,0.06992531,0.03237105,0.10476224,0.030410508,0.71964276],"study_design_scores_gemma":[0.00018368545,0.0022787347,0.08710486,0.001093461,0.0003453748,0.0054341895,0.018361373,0.33048004,0.07478918,0.3235291,0.15616722,0.00023280627],"about_ca_topic_score_codex":0.0021733814,"about_ca_topic_score_gemma":0.00302236,"teacher_disagreement_score":0.0043360186,"about_ca_system_score_codex":0.00054546766,"about_ca_system_score_gemma":0.0005311238,"threshold_uncertainty_score":0.014505446},"labels":[],"label_agreement":null},{"id":"W3171724330","doi":"10.3390/electronics10111309","title":"Machine Learning-Based Data-Driven Fault Detection/Diagnosis of Lithium-Ion Battery: A Critical Review","year":2021,"lang":"en","type":"review","venue":"Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":217,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Fault (geology); Fault detection and isolation; Battery (electricity); State (computer science); Reliability engineering; Machine learning; Artificial intelligence; Systems engineering; Power (physics); Engineering; Algorithm","score_opus":0.05290790988276568,"score_gpt":0.3547847475468801,"score_spread":0.30187683766411444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3171724330","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000193404,0.9973367,0.0011023864,0.00023627823,0.0002459263,0.000009848146,0.000027837019,0.00001566476,0.0008319234],"genre_scores_gemma":[0.0017362126,0.9964168,0.0008543477,0.0001765789,0.00028304686,0.000013045211,0.00006026478,0.0000046410178,0.00045493027],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996829,0.000043276377,0.000052244504,0.00006933878,0.00012923882,0.000023163357],"domain_scores_gemma":[0.9987319,0.00071320886,0.00012527655,0.000031788775,0.00035746314,0.00004048702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093240006,0.0009826593,0.0015285261,0.0022461698,0.00024664545,0.0011182043,0.0013053027,0.001317666,0.0029717984],"category_scores_gemma":[0.001812255,0.0004741656,0.00086596166,0.002735589,0.00042597007,0.0019180411,0.00059685844,0.0010922482,0.0016637666],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066216075,0.00009428738,0.00035697347,0.031930096,0.0001698614,0.00018920426,0.00007323337,0.0019267729,0.001932261,0.005016743,0.020633915,0.9376105],"study_design_scores_gemma":[0.000019666548,0.00036056578,0.0013985988,0.010018866,0.0005756629,0.0014660412,0.00012532122,0.0022008293,0.0025669578,0.0052833734,0.97589123,0.00009285608],"about_ca_topic_score_codex":0.0012603604,"about_ca_topic_score_gemma":0.00125945,"teacher_disagreement_score":0.0029717984,"about_ca_system_score_codex":0.0004400543,"about_ca_system_score_gemma":0.0013274039,"threshold_uncertainty_score":0.0099416375},"labels":[],"label_agreement":null},{"id":"W3175561862","doi":"10.1016/j.energy.2021.121266","title":"Data-driven fault diagnosis and thermal runaway warning for battery packs using real-world vehicle data","year":2021,"lang":"en","type":"article","venue":"Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":196,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"National Natural Science Foundation of China","keywords":"Thermal runaway; Battery (electricity); False alarm; Warning system; Fault (geology); Voltage; Robustness (evolution); Engineering; Reliability engineering; Reliability (semiconductor); Computer science; Battery pack; Fault detection and isolation; Real-time computing; Electrical engineering; Power (physics); Artificial intelligence","score_opus":0.08502434423089643,"score_gpt":0.3313691192724954,"score_spread":0.24634477504159896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175561862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8400246,0.0005203169,0.14673053,0.0003805159,0.00025259357,0.00011717031,0.0025902756,0.007310188,0.002073824],"genre_scores_gemma":[0.99348176,0.000035787954,0.0053718784,0.000020015197,0.0000074844274,0.00001101788,0.0007014881,0.000029543333,0.00034113775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983776,0.000016057731,0.000012832983,0.000035999918,0.000070853,0.000026462856],"domain_scores_gemma":[0.99937266,0.00018931292,0.00006599302,0.00008953747,0.000249321,0.000033188822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021986761,0.00067580584,0.00043319518,0.0009602248,0.00018697625,0.00041137467,0.0005493038,0.00044760166,0.0009655222],"category_scores_gemma":[0.001627962,0.00020889047,0.00019529035,0.00044544705,0.00016851371,0.0008569656,0.00038032606,0.00038314966,0.0004509421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023755915,0.00067505456,0.07956006,0.0005705676,0.00021463688,0.0018869259,0.00033764122,0.4905571,0.057170548,0.0010301921,0.012513585,0.35310805],"study_design_scores_gemma":[0.000020249065,0.000090367765,0.008937068,0.000011368536,0.000017268469,0.0001127006,0.000087324384,0.978459,0.010997207,0.000496505,0.00075748767,0.000013323005],"about_ca_topic_score_codex":0.004575775,"about_ca_topic_score_gemma":0.007959581,"teacher_disagreement_score":0.004575775,"about_ca_system_score_codex":0.00025969697,"about_ca_system_score_gemma":0.0003038377,"threshold_uncertainty_score":0.009098291},"labels":[],"label_agreement":null},{"id":"W3175887820","doi":"10.1016/j.renene.2021.06.038","title":"Efficient experimental energy management operating for FC/battery/SC vehicles via hybrid Artificial Neural Networks-Passivity Based Control","year":2021,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Energy management; Passivity; Controller (irrigation); Computer science; Artificial neural network; Battery (electricity); Energy consumption; Power management; Hybrid system; Control engineering; Energy (signal processing); Power (physics); Engineering; Automotive engineering; Artificial intelligence; Electrical engineering","score_opus":0.011164568692304777,"score_gpt":0.23515781270171854,"score_spread":0.22399324400941376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3175887820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9356131,0.000085713655,0.054777753,0.00012514679,0.000057738933,0.00010194273,0.0001382733,0.00038179537,0.008718501],"genre_scores_gemma":[0.9983789,0.000008255308,0.0011446784,0.0000029385285,9.5005555e-7,0.00001800496,0.000015998878,0.0000036115023,0.00042666504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991536,0.000014650702,0.000005660255,0.000014245604,0.000030631516,0.000019554614],"domain_scores_gemma":[0.9998834,0.00003564228,0.000018845965,0.000015732643,0.000037276062,0.000009106163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021769071,0.0002767087,0.00018928574,0.00020728793,0.0002907737,0.00039583584,0.00033614252,0.0002051033,0.0014511441],"category_scores_gemma":[0.00027649326,0.00007666078,0.00012976675,0.0001253368,0.0002990547,0.000286622,0.00022157478,0.00023148174,0.00010156715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002870417,0.0008418833,0.0044231564,0.0005003919,0.0000694115,0.00024151825,0.00029819814,0.53695923,0.35759738,0.006751536,0.001762228,0.087684706],"study_design_scores_gemma":[0.000041125877,0.0003545345,0.0027758474,0.000008420197,0.000013604027,0.000012979938,0.000074889685,0.9139016,0.08113958,0.00081176904,0.00085374276,0.000011859138],"about_ca_topic_score_codex":0.004379288,"about_ca_topic_score_gemma":0.004865997,"teacher_disagreement_score":0.004379288,"about_ca_system_score_codex":0.00036879352,"about_ca_system_score_gemma":0.00032093283,"threshold_uncertainty_score":0.008707643},"labels":[],"label_agreement":null},{"id":"W3177037714","doi":"10.18280/ejee.230302","title":"Battery Charger Utilizing Coupled Inductor Based High Gain Bidirectional DC-DC Converter: Analysis, Design, and Implementation","year":2021,"lang":"en","type":"article","venue":"European Journal of Electrical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inductor; Boost converter; Capacitor; Battery charger; Buck converter; Battery (electricity); Buck–boost converter; Voltage; Electrical engineering; Ćuk converter; High voltage; Forward converter; Electronic engineering; Computer science; Microcontroller; Engineering; Power (physics); Physics","score_opus":0.019035412749501237,"score_gpt":0.2535753739121648,"score_spread":0.23453996116266354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177037714","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08471974,0.0013781182,0.88828075,0.00024224758,0.00009170783,0.00041572863,0.00014054887,0.0025660328,0.022165166],"genre_scores_gemma":[0.91335636,0.0009198773,0.07352716,0.00008855912,0.000028823471,0.00018797378,0.00014718338,0.000098394856,0.011645613],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977726,0.000023598059,0.000010922526,0.000033803623,0.00013216781,0.000022206452],"domain_scores_gemma":[0.9998549,0.000020945345,0.000011725811,0.000017046446,0.0000865067,0.000008840335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019963393,0.00030064158,0.00040105605,0.00028342765,0.00027581872,0.0007974204,0.0008707992,0.0004204281,0.0029760215],"category_scores_gemma":[0.00024279703,0.00019016567,0.0003136305,0.00038569226,0.00017435587,0.0006451897,0.00027786454,0.00036777323,0.0009765262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036030007,0.00024985688,0.0029298698,0.0013183315,0.00020260463,0.00074192503,0.00037645176,0.041864533,0.5544077,0.017531928,0.004923912,0.37509245],"study_design_scores_gemma":[0.00012112749,0.0015212835,0.0043271757,0.00012990486,0.00018896323,0.0021020528,0.00023670442,0.51135945,0.42705444,0.0036072987,0.049239624,0.00011198648],"about_ca_topic_score_codex":0.0012703744,"about_ca_topic_score_gemma":0.0014358836,"teacher_disagreement_score":0.0029760215,"about_ca_system_score_codex":0.00036329974,"about_ca_system_score_gemma":0.0005465413,"threshold_uncertainty_score":0.009955823},"labels":[],"label_agreement":null},{"id":"W3178262918","doi":"10.20944/preprints202107.0087.v1","title":"Smart Core and Surface Temperature Estimation Techniques for Health-conscious Lithium-ion Battery Management Systems: A Model-to-Model Comparison","year":2021,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); Kalman filter; Online model; Computer science; MATLAB; Core (optical fiber); Process (computing); Reliability (semiconductor); Heat generation; Lithium-ion battery; Reliability engineering; Simulation; Engineering; Power (physics)","score_opus":0.11085203634355256,"score_gpt":0.38108690697024605,"score_spread":0.2702348706266935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3178262918","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18918426,0.003462601,0.79229915,0.0005106849,0.00012800546,0.00017139186,0.00022981291,0.002694893,0.011319261],"genre_scores_gemma":[0.97108847,0.0009395309,0.025564415,0.000053391905,0.000020102514,0.00010106622,0.00018163698,0.00008606451,0.0019651677],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998055,0.000055835302,0.000014472848,0.00003845509,0.00006511201,0.00002069505],"domain_scores_gemma":[0.9995351,0.0002495785,0.00004227666,0.0000428315,0.00011870743,0.000011585141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056027994,0.00067494693,0.000778205,0.0003383118,0.00024227372,0.00084067066,0.00060087786,0.0006159645,0.0017401733],"category_scores_gemma":[0.0013384962,0.00022748149,0.0007024448,0.00025528081,0.00017868604,0.0007994438,0.00046528204,0.00064603647,0.00038221956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029197978,0.00010637407,0.0016568993,0.000310171,0.000078442354,0.00006677307,0.000112719164,0.90555316,0.007180449,0.0019641875,0.00082279707,0.08185598],"study_design_scores_gemma":[0.000005536984,0.00007968397,0.0005032691,0.000009311553,0.000013579522,0.0000152055145,0.000015210387,0.9970505,0.0014924845,0.00031800198,0.0004912017,0.00000595335],"about_ca_topic_score_codex":0.005587349,"about_ca_topic_score_gemma":0.0030761284,"teacher_disagreement_score":0.005587349,"about_ca_system_score_codex":0.0004678112,"about_ca_system_score_gemma":0.0005101964,"threshold_uncertainty_score":0.01110965},"labels":[],"label_agreement":null},{"id":"W3179548697","doi":"10.3390/en14185960","title":"A Comprehensive Review of Lithium-Ion Cell Temperature Estimation Techniques Applicable to Health-Conscious Fast Charging and Smart Battery Management Systems","year":2021,"lang":"en","type":"review","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); State of health; Computer science; State of charge; Adaptability; Lithium-ion battery; Reliability engineering; Automotive engineering; Control engineering; Engineering; Power (physics)","score_opus":0.020678312933990594,"score_gpt":0.30704019018941126,"score_spread":0.28636187725542067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3179548697","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011608524,0.9744815,0.015755713,0.00035329108,0.00087818486,0.000048183494,0.00013782263,0.00014089119,0.007043502],"genre_scores_gemma":[0.00910857,0.97564924,0.0090714805,0.0003727895,0.0009323987,0.00006389688,0.00030970096,0.00004419499,0.004447757],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994461,0.000079202815,0.000099995494,0.00012001691,0.00021972519,0.000035071338],"domain_scores_gemma":[0.9992508,0.00035343142,0.000070438946,0.00004193037,0.00026177804,0.00002156658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007510458,0.001222907,0.0011734946,0.0022031413,0.000354398,0.0013739648,0.0012724742,0.0010199818,0.0047513833],"category_scores_gemma":[0.0013297619,0.0005513098,0.00095866807,0.0032940502,0.00036116887,0.0024387876,0.0007017824,0.0009822934,0.0025592258],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000920253,0.000086609696,0.0005827005,0.02438338,0.00012768371,0.00024713643,0.00013334808,0.0038816014,0.0067242607,0.00876224,0.02594833,0.92903066],"study_design_scores_gemma":[0.000008818975,0.00025990893,0.0015054704,0.0039504347,0.00025621714,0.0012295162,0.00011757299,0.0057765977,0.0046816193,0.0038409547,0.97828406,0.00008877964],"about_ca_topic_score_codex":0.0012587371,"about_ca_topic_score_gemma":0.0010539282,"teacher_disagreement_score":0.0047513833,"about_ca_system_score_codex":0.00042678622,"about_ca_system_score_gemma":0.0009009337,"threshold_uncertainty_score":0.01589495},"labels":[],"label_agreement":null},{"id":"W3179949160","doi":"10.3390/en14144187","title":"Modeling and Analysis of Heat Dissipation for Liquid Cooling Lithium-Ion Batteries","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Battery (electricity); Battery pack; Inlet; Materials science; Heat transfer; Mechanics; Water cooling; Nuclear engineering; Computer cooling; Work (physics); Thermal; Lithium-ion battery; Volumetric flow rate; Range (aeronautics); Thermodynamics; Mechanical engineering; Thermal management of electronic devices and systems; Engineering; Composite material; Physics","score_opus":0.019782621909625354,"score_gpt":0.2786001594150072,"score_spread":0.25881753750538183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3179949160","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19624726,0.001779737,0.76233274,0.0005109006,0.00015330628,0.0001980169,0.0002882907,0.0004813585,0.03800838],"genre_scores_gemma":[0.97941774,0.00056369865,0.010090266,0.000040245657,0.000017353952,0.00016251777,0.00006857262,0.000056345703,0.009583317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998865,0.00002612791,0.0000058100427,0.00001553341,0.00004492782,0.000020984677],"domain_scores_gemma":[0.9998996,0.000045422654,0.000014089193,0.000008168397,0.000027804468,0.00000488476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024165682,0.0004415378,0.00048880785,0.00028032588,0.00038425674,0.00067670684,0.0007220612,0.00079084694,0.002075653],"category_scores_gemma":[0.00059263,0.0002554817,0.0006289605,0.0002947356,0.0004711238,0.0007230148,0.0003766158,0.00040379612,0.0002749877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036238664,0.000018224171,0.00050905935,0.000074906595,0.000009239824,0.0000771224,0.00006522152,0.97994584,0.0103408275,0.005213086,0.00022586809,0.0034842843],"study_design_scores_gemma":[0.0000021915064,0.000008333723,0.00009139855,0.000002814095,0.0000016147156,0.0000064044807,0.0000072140174,0.998716,0.0005936869,0.000297948,0.00027020907,0.0000022723282],"about_ca_topic_score_codex":0.006024075,"about_ca_topic_score_gemma":0.0031271114,"teacher_disagreement_score":0.006024075,"about_ca_system_score_codex":0.000785557,"about_ca_system_score_gemma":0.00069771183,"threshold_uncertainty_score":0.011977971},"labels":[],"label_agreement":null},{"id":"W3181536868","doi":"10.3390/en14144074","title":"A Critical Look at Coulomb Counting Approach for State of Charge Estimation in Batteries","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":236,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"State of charge; Charge (physics); Coulomb; State (computer science); Battery (electricity); Approximation error; Physics; Statistical physics; Computational physics; Computer science; Algorithm; Quantum mechanics; Power (physics)","score_opus":0.017051738867973433,"score_gpt":0.28418944924973366,"score_spread":0.2671377103817602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181536868","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003781979,0.0026645795,0.9877807,0.0013813443,0.00029963502,0.00002417133,0.000026841888,0.0001058661,0.0039348514],"genre_scores_gemma":[0.5480635,0.013029276,0.4263686,0.0015413131,0.0014109085,0.00019801292,0.00017512424,0.00033481463,0.008878487],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99630773,0.0012452615,0.0002258843,0.00049323885,0.0015842712,0.00014362707],"domain_scores_gemma":[0.9919844,0.0055079632,0.00035573138,0.00067272154,0.0013824692,0.00009669832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052966694,0.0008738276,0.0011463156,0.0014234255,0.0008978517,0.0027208521,0.0024423595,0.0017917645,0.001754232],"category_scores_gemma":[0.022929264,0.0005360822,0.0011333319,0.0014323968,0.002741557,0.0062602307,0.0021061613,0.003644366,0.0003988641],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048246588,0.000047207588,0.0017958404,0.00022011713,0.00006431029,0.00028653324,0.00029353218,0.30934688,0.001787556,0.6196676,0.0030084564,0.06343373],"study_design_scores_gemma":[0.0000033109702,0.000039097406,0.00021854021,0.00010047343,0.000016709026,0.00016049868,0.000056568504,0.8189736,0.0017092418,0.17288566,0.0057904907,0.000045917688],"about_ca_topic_score_codex":0.0041366564,"about_ca_topic_score_gemma":0.0023343086,"teacher_disagreement_score":0.0052966694,"about_ca_system_score_codex":0.001767788,"about_ca_system_score_gemma":0.0013383018,"threshold_uncertainty_score":0.02801174},"labels":[],"label_agreement":null},{"id":"W3182904164","doi":"10.1109/jestie.2021.3095018","title":"PEC Inverter for Intelligent Electric Spring Applications Using ANN-Based Controller","year":2021,"lang":"en","type":"article","venue":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Controller (irrigation); Reliability (semiconductor); Voltage; Inverter; Computer science; Power (physics); Network topology; Artificial neural network; Control theory (sociology); Topology (electrical circuits); H bridge; Harmonic; Electronic engineering; Engineering; Electrical engineering; Control (management); Artificial intelligence; Computer network","score_opus":0.04429643176728715,"score_gpt":0.29916369378825625,"score_spread":0.2548672620209691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182904164","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1098186,0.0007111865,0.8549085,0.00019459693,0.00021296705,0.00017005792,0.00014905815,0.0031054225,0.030729482],"genre_scores_gemma":[0.9404149,0.00023453453,0.052456196,0.000091397764,0.00003839322,0.00013017673,0.00014360168,0.000036053545,0.006454897],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999331,0.0000072637654,0.0000055961236,0.000017832863,0.000029086057,0.0000071308154],"domain_scores_gemma":[0.9999312,0.000017710057,0.000011293877,0.000007447752,0.000029104423,0.0000032538123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010663193,0.00038465403,0.00023874626,0.00013711817,0.0001491984,0.00039683157,0.00052469486,0.00033354576,0.0024500007],"category_scores_gemma":[0.000185351,0.000104676656,0.0001854997,0.0001566032,0.00009679985,0.00028370804,0.00018757425,0.00037339903,0.0003717462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043292632,0.00037676332,0.0020954343,0.00049576495,0.00014888117,0.00032598947,0.00009923755,0.35446104,0.14205919,0.0041087405,0.006183941,0.48921198],"study_design_scores_gemma":[0.00002234665,0.00014621486,0.00064302527,0.000013478817,0.000020777348,0.00005249673,0.000008379498,0.9860314,0.010119922,0.0003897719,0.0025453882,0.000006834192],"about_ca_topic_score_codex":0.0010267387,"about_ca_topic_score_gemma":0.0020384192,"teacher_disagreement_score":0.0024500007,"about_ca_system_score_codex":0.00019125013,"about_ca_system_score_gemma":0.00015040037,"threshold_uncertainty_score":0.008196056},"labels":[],"label_agreement":null},{"id":"W3183873848","doi":"10.1149/ma2021-016339mtgabs","title":"Evaluation of Redox Mediator’s Oxidation Stability in Lithium-Oxygen Batteries","year":2021,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Chemistry; Redox; Lithium (medication); Catalysis; Electron transfer; Oxygen; Singlet oxygen; Electrolyte; Kinetics; Scanning electron microscope; Inorganic chemistry; Photochemistry; Materials science; Physical chemistry; Electrode; Biochemistry; Organic chemistry","score_opus":0.03759300310486924,"score_gpt":0.2957605952695462,"score_spread":0.25816759216467694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183873848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98744583,0.006615281,0.0036674151,0.00012142106,0.000084690335,0.000043903216,0.0002781896,0.00007860525,0.0016646651],"genre_scores_gemma":[0.99470043,0.0020951445,0.0017239187,0.000031624397,0.000015538064,0.000030465195,0.00017501041,0.00001654968,0.0012114036],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997116,0.00004946302,0.000029358935,0.00005069413,0.000120338336,0.00003852268],"domain_scores_gemma":[0.99968493,0.00007292342,0.00007765056,0.000023228373,0.00012159173,0.000019686873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050572545,0.00036886698,0.00022092358,0.00030670824,0.00018048502,0.000439762,0.0003540993,0.0005243869,0.00082173664],"category_scores_gemma":[0.000987265,0.00013503693,0.00021361119,0.000253069,0.00015872443,0.00046324538,0.00024533813,0.0004182525,0.00021966331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001470311,0.000032317123,0.00039645509,0.00012389706,0.000014424867,0.000074082636,0.000053085583,0.00019391788,0.995411,0.0000809075,0.000071025184,0.0034017945],"study_design_scores_gemma":[0.0000037570965,0.00038382184,0.0011285186,0.000010620349,0.000024329749,0.00006056942,0.000048089405,0.00094701484,0.99600935,0.000038683218,0.0013363961,0.000008746197],"about_ca_topic_score_codex":0.0003877174,"about_ca_topic_score_gemma":0.00063814875,"teacher_disagreement_score":0.00082173664,"about_ca_system_score_codex":0.00021960029,"about_ca_system_score_gemma":0.00012728045,"threshold_uncertainty_score":0.0027489662},"labels":[],"label_agreement":null},{"id":"W3185336315","doi":"10.1149/ma2021-01120mtgabs","title":"Rechargeable Lithium Metal Pouch Cell Development","year":2021,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"EaglePicher (Canada)","funders":"","keywords":"Anode; Lithium (medication); Electrolyte; Materials science; Lithium metal; Cathode; Graphite; Specific energy; Chemical engineering; Nanotechnology; Chemistry; Electrical engineering; Composite material; Electrode; Engineering; Physics","score_opus":0.022946583587635173,"score_gpt":0.25018235382600174,"score_spread":0.22723577023836655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185336315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53607064,0.009918025,0.31035358,0.0010531411,0.0011687755,0.0020088868,0.0031681235,0.0043440703,0.13191484],"genre_scores_gemma":[0.74938387,0.006624998,0.16159448,0.000346383,0.00011244851,0.0010372025,0.002998298,0.00028328737,0.077619016],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99972457,0.000012389028,0.000015502806,0.00004840473,0.00017367976,0.000025490355],"domain_scores_gemma":[0.9998901,0.000008905166,0.0000055667724,0.00001949926,0.0000659698,0.000010004484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002306815,0.00027347152,0.00039417445,0.00029973974,0.00032920513,0.00092497456,0.00095992704,0.0007320114,0.0051048724],"category_scores_gemma":[0.0003294924,0.00019123117,0.00025765243,0.0004598829,0.00017554995,0.0009393767,0.00045127727,0.0006444222,0.0025258414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095588424,0.00011358649,0.0005767155,0.00063782674,0.000015637408,0.000532819,0.00012988673,0.0023486086,0.8719702,0.0070492565,0.0045825,0.11194729],"study_design_scores_gemma":[0.00004082144,0.0007587655,0.0016336201,0.000042866348,0.000021409773,0.001626978,0.000079123936,0.010014622,0.8498838,0.00096180063,0.13487998,0.000056250534],"about_ca_topic_score_codex":0.00041854943,"about_ca_topic_score_gemma":0.00059507205,"teacher_disagreement_score":0.0051048724,"about_ca_system_score_codex":0.00024298136,"about_ca_system_score_gemma":0.0002685087,"threshold_uncertainty_score":0.017077506},"labels":[],"label_agreement":null},{"id":"W3185351025","doi":"10.1149/ma2021-01381192mtgabs","title":"A Numerical Study on the Impact of Low Electronic Conductivity on PEMWE Electrolyser Performance","year":2021,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Catalysis; Conductivity; Materials science; Electrolysis; Ohmic contact; Anode; Proton exchange membrane fuel cell; Chemical engineering; Platinum; Chemistry; Layer (electronics); Composite material; Electrode; Physical chemistry; Electrolyte; Organic chemistry","score_opus":0.021317251644169442,"score_gpt":0.29373098234770706,"score_spread":0.27241373070353764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185351025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85711926,0.0020267547,0.07300954,0.0020197448,0.0003266518,0.00015391184,0.0016511574,0.00054929225,0.063143685],"genre_scores_gemma":[0.9837901,0.0003039745,0.011769753,0.00011760418,0.000025663447,0.000073919575,0.0003596279,0.000045501245,0.003513908],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998838,0.000022680264,0.000005645951,0.00001591643,0.000038332066,0.000033674332],"domain_scores_gemma":[0.99869627,0.00091989327,0.00009078968,0.00005537559,0.00019969189,0.000038050814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036216323,0.00040455032,0.00050672767,0.00039736173,0.0005134495,0.0007909529,0.00061306154,0.0016819414,0.0048453775],"category_scores_gemma":[0.002677958,0.00018582365,0.0004892871,0.0005280436,0.0005681707,0.00059227063,0.00040269824,0.00064682256,0.000355255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001935546,0.00014588465,0.0034041323,0.00020807445,0.000030797706,0.00031003356,0.00007616395,0.9773334,0.006530208,0.0035230804,0.0014153516,0.0068292785],"study_design_scores_gemma":[0.000016874596,0.000057666024,0.00061662256,0.000018570465,0.000010682738,0.000032136468,0.000037017006,0.99657744,0.0014467019,0.0004472566,0.0007309676,0.000007987697],"about_ca_topic_score_codex":0.00534803,"about_ca_topic_score_gemma":0.003995964,"teacher_disagreement_score":0.00534803,"about_ca_system_score_codex":0.0006610693,"about_ca_system_score_gemma":0.00049598154,"threshold_uncertainty_score":0.016209424},"labels":[],"label_agreement":null},{"id":"W3186024736","doi":"10.1109/tpel.2021.3098445","title":"Multi-fault Detection and Isolation for Lithium-Ion Battery Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":156,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"National Natural Science Foundation of China","keywords":"Fault detection and isolation; Residual; Robustness (evolution); Voltage; Engineering; Kalman filter; State of charge; Fault indicator; Computer science; Electronic engineering; Control theory (sociology); Reliability engineering; Battery (electricity); Electrical engineering; Algorithm; Power (physics); Artificial intelligence","score_opus":0.013562171178916817,"score_gpt":0.25676303672744183,"score_spread":0.24320086554852502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186024736","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2801315,0.00071822014,0.7157341,0.0001551345,0.0000546118,0.000042684092,0.000055043274,0.0013554805,0.0017532315],"genre_scores_gemma":[0.99025655,0.00004897825,0.009425207,0.000012318762,0.0000066943194,0.00000783362,0.000025633208,0.000006827844,0.00021000745],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999728,0.000047152607,0.00001913185,0.00005053548,0.0001264494,0.00002867351],"domain_scores_gemma":[0.99964464,0.00013743014,0.000085113286,0.0000391896,0.000070212,0.00002343378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024576188,0.00049534,0.00042584297,0.0007257101,0.0002477598,0.000337653,0.0004146818,0.00031767078,0.00048500136],"category_scores_gemma":[0.0010813995,0.00014442104,0.00027707726,0.00023451341,0.00020081566,0.0008426347,0.00053751125,0.0002919401,0.00008933835],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009821537,0.00022365167,0.010646398,0.00024397759,0.00011251737,0.0005193282,0.00026607284,0.39171162,0.11937582,0.0035557093,0.0008880021,0.4714748],"study_design_scores_gemma":[0.000008133129,0.00011247854,0.0022562344,0.000004347417,0.000011517735,0.00010695319,0.000019207626,0.98217416,0.0140376855,0.0010721222,0.0001874173,0.000009673336],"about_ca_topic_score_codex":0.0013046974,"about_ca_topic_score_gemma":0.0014156415,"teacher_disagreement_score":0.0013046974,"about_ca_system_score_codex":0.0003640439,"about_ca_system_score_gemma":0.0002477936,"threshold_uncertainty_score":0.0026413798},"labels":[],"label_agreement":null},{"id":"W3186319380","doi":"10.3390/batteries7030051","title":"Comparative Study of Equivalent Circuit Models Performance in Four Common Lithium-Ion Batteries: LFP, NMC, LMO, NCA","year":2021,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":379,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Battery (electricity); Lithium-ion battery; Computer science; Equivalent circuit; Lithium (medication); USable; Energy storage; Materials science; Automotive engineering; Voltage; Electrical engineering; Engineering; Power (physics); Physics","score_opus":0.08071048701354756,"score_gpt":0.3062001325794865,"score_spread":0.22548964556593892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186319380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8061486,0.0028227125,0.15690382,0.00055870076,0.00034032424,0.00021991516,0.0022482288,0.004067886,0.026689854],"genre_scores_gemma":[0.9908407,0.00054510625,0.005788331,0.000040647104,0.0000098198225,0.00007398242,0.0005720253,0.00007782285,0.0020515975],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995136,0.00010756542,0.00004398956,0.000082997096,0.00020873529,0.000043078002],"domain_scores_gemma":[0.9990594,0.00041649523,0.00006277027,0.0001403942,0.00029992376,0.000021036338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062362093,0.0009619124,0.0007090563,0.0009866746,0.0004080624,0.0010332725,0.001241345,0.0009981617,0.002732749],"category_scores_gemma":[0.0027790293,0.0002662173,0.0009401261,0.00071517314,0.00032973185,0.0016577581,0.00043842508,0.00054924877,0.0006398046],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014443606,0.00030560134,0.008768423,0.0014052695,0.00024879782,0.0007184348,0.00061417266,0.77404135,0.058941714,0.004432451,0.0053945263,0.14368492],"study_design_scores_gemma":[0.000036602578,0.00047177728,0.0028165546,0.000053559743,0.00012593139,0.00016562811,0.00018382398,0.9602996,0.030346122,0.0013173723,0.004133727,0.000049252976],"about_ca_topic_score_codex":0.008078183,"about_ca_topic_score_gemma":0.0070744315,"teacher_disagreement_score":0.008078183,"about_ca_system_score_codex":0.00080370094,"about_ca_system_score_gemma":0.00045705965,"threshold_uncertainty_score":0.01606232},"labels":[],"label_agreement":null},{"id":"W3186881984","doi":"10.31399/asm.fach.steel.c9001668","title":"Integrated Analysis of an Autoclave Failure","year":2019,"lang":"en","type":"book-chapter","venue":"ASM International eBooks","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Autoclave; Fractography; Metallography; Materials science; Leak; Metallurgy; Forensic engineering; Composite material; Engineering; Microstructure","score_opus":0.016294932445095795,"score_gpt":0.26448003725221336,"score_spread":0.24818510480711756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186881984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5036203,0.0057473425,0.38973197,0.00020216007,0.00015702564,0.00031094608,0.0031959766,0.0051312638,0.091902934],"genre_scores_gemma":[0.7701662,0.0023176707,0.0919686,0.00009383075,0.000047748148,0.0001609677,0.0033292645,0.0007509629,0.13116473],"study_design_codex":"bench_or_experimental","study_design_gemma":"case_report","domain_scores_codex":[0.9996631,0.000022139659,0.000008234378,0.000049167298,0.00023802104,0.000019431594],"domain_scores_gemma":[0.99953926,0.0001180636,0.000025309979,0.00005679429,0.00024463137,0.00001605064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032793896,0.0007054933,0.0005656319,0.0025931664,0.0002893233,0.000882735,0.0008447221,0.00060505094,0.010654265],"category_scores_gemma":[0.00035314978,0.00031490534,0.00043080444,0.0011842985,0.00029287764,0.00069439516,0.00046427012,0.00052698265,0.0027618194],"study_design_candidate":"case_report","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030186,0.00020397949,0.0048425933,0.00080607156,0.00008855945,0.0006872654,0.0007009776,0.041029636,0.59500486,0.006247275,0.0054975464,0.34458926],"study_design_scores_gemma":[0.000030328563,0.0010106923,0.04976817,0.00029852116,0.0001768664,0.0014668126,0.00041735417,0.28368935,0.56930643,0.0074573015,0.086217806,0.00016031467],"about_ca_topic_score_codex":0.0017322723,"about_ca_topic_score_gemma":0.0030198009,"teacher_disagreement_score":0.010654265,"about_ca_system_score_codex":0.0004563518,"about_ca_system_score_gemma":0.00037860955,"threshold_uncertainty_score":0.035642087},"labels":[],"label_agreement":null},{"id":"W3187188284","doi":"10.3390/en14051357","title":"Design of Cylindrical Thermal Dummy Cell for Development of Lithium-Ion Battery Thermal Management System","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"National Key Research and Development Program of China; Zhejiang University","keywords":"Battery (electricity); Driving cycle; Voltage; Lithium-ion battery; Thermal; Automotive engineering; Nuclear engineering; Materials science; Lithium (medication); Electrode; Internal resistance; Thermal runaway; Constant current; Ion; Computer science; Simulation; Electrical engineering; Electric vehicle; Engineering; Chemistry; Thermodynamics; Physics; Power (physics)","score_opus":0.024616737267035418,"score_gpt":0.24253862933342735,"score_spread":0.21792189206639193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187188284","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3722164,0.0018681093,0.5995993,0.00051294384,0.000518683,0.0005806183,0.00090795784,0.002049378,0.021746635],"genre_scores_gemma":[0.9243322,0.0005697385,0.070753954,0.00006834577,0.000025033754,0.00032124092,0.00035669716,0.00006477478,0.0035080009],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997962,0.000025643503,0.0000144297555,0.000039248876,0.000098241624,0.00002630656],"domain_scores_gemma":[0.99983835,0.000013793509,0.000029081359,0.000022207556,0.00007943334,0.000017109323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017073337,0.0004173828,0.00043458637,0.00028063607,0.0002923827,0.00043851975,0.0011687736,0.0004247352,0.0014203665],"category_scores_gemma":[0.00033800345,0.00020716879,0.00043014827,0.0002484889,0.00021783626,0.0005591913,0.00040116615,0.00020514219,0.0005724519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005238973,0.00011225902,0.006779832,0.0013635952,0.0000885466,0.0013905627,0.00031599993,0.22052468,0.6843312,0.010815012,0.0057574483,0.067997046],"study_design_scores_gemma":[0.00011768915,0.00142753,0.003085665,0.000048390448,0.00013399644,0.0011872927,0.00018178317,0.6186885,0.3276443,0.0010619545,0.04629624,0.00012678123],"about_ca_topic_score_codex":0.0009832334,"about_ca_topic_score_gemma":0.000919721,"teacher_disagreement_score":0.0014203665,"about_ca_system_score_codex":0.00043297288,"about_ca_system_score_gemma":0.0006645426,"threshold_uncertainty_score":0.0047516227},"labels":[],"label_agreement":null},{"id":"W3187658411","doi":"10.1109/itec51675.2021.9490163","title":"A Kalman Filter Based Battery State of Charge Estimation MATLAB Function","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Extended Kalman filter; State of charge; Kalman filter; Control theory (sociology); Battery (electricity); MATLAB; Invariant extended Kalman filter; Computer science; Fast Kalman filter; Alpha beta filter; Ensemble Kalman filter; Voltage; Function (biology); RC circuit; Electronic engineering; Engineering; Electrical engineering; Moving horizon estimation; Physics; Power (physics); Short circuit; Artificial intelligence","score_opus":0.01591545838404641,"score_gpt":0.24756404683102617,"score_spread":0.23164858844697978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187658411","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042421594,0.00010882336,0.98120314,0.000052295203,0.000040907853,0.00003411648,0.00022992252,0.010259586,0.0038290338],"genre_scores_gemma":[0.5667758,0.00059823267,0.40141237,0.00014102706,0.00007090056,0.00046992197,0.001233965,0.0006928923,0.028604992],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978465,0.000026625154,0.000013862713,0.000059610426,0.000098705255,0.000016622855],"domain_scores_gemma":[0.9997514,0.000080638216,0.000022867831,0.000028545235,0.000110445486,0.000006075429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002594814,0.0005421868,0.00041438246,0.0003833285,0.0002227984,0.0005716553,0.0007212204,0.00037203266,0.0069456208],"category_scores_gemma":[0.0012008477,0.0002465749,0.0003018507,0.00020444042,0.00012690319,0.0005492546,0.00026350247,0.00045456196,0.0027909733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002825313,0.000109731474,0.0025673632,0.000297535,0.000100908685,0.00023070026,0.000136262,0.4978787,0.02791014,0.013866886,0.013170679,0.44344854],"study_design_scores_gemma":[0.00002058473,0.000043677937,0.0006245336,0.000018873998,0.000015785568,0.00009078313,0.00000648035,0.9705794,0.017963257,0.00092904887,0.009685617,0.000022023578],"about_ca_topic_score_codex":0.008524306,"about_ca_topic_score_gemma":0.007373706,"teacher_disagreement_score":0.008524306,"about_ca_system_score_codex":0.00041322768,"about_ca_system_score_gemma":0.0006429514,"threshold_uncertainty_score":0.02323538},"labels":[],"label_agreement":null},{"id":"W3188518847","doi":"10.1109/access.2021.3102607","title":"Interacting Multiple Model Strategy for Electric Vehicle Batteries State of Charge/Health/ Power Estimation","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Cambridge; McMaster University","keywords":"Internal resistance; State of health; Battery (electricity); State of charge; Automotive engineering; Electric vehicle; Computer science; Power (physics); Equivalent circuit; Control theory (sociology); Engineering; Voltage; Electrical engineering; Artificial intelligence","score_opus":0.055652964965024226,"score_gpt":0.36404334850829584,"score_spread":0.30839038354327164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188518847","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076898336,0.00025298115,0.98984337,0.00008306129,0.000029300252,0.000026928636,0.000020844349,0.00031368955,0.0017400361],"genre_scores_gemma":[0.87830365,0.000518957,0.11280437,0.00016960091,0.00006491328,0.00025289023,0.00021132955,0.00008952507,0.007584711],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996954,0.00010264284,0.0000182666,0.00006489983,0.00008879627,0.0000300531],"domain_scores_gemma":[0.9995453,0.00022847892,0.000057312893,0.00002194765,0.00013524025,0.0000117173295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006384736,0.0009884236,0.00081368134,0.00047499008,0.0003514788,0.0006887843,0.00085834507,0.00076064235,0.0021986794],"category_scores_gemma":[0.0013723046,0.00039235843,0.00071263715,0.00041696805,0.0003475818,0.00067178597,0.0005187886,0.0009937553,0.0005873014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008742792,0.00006376478,0.00064567104,0.00011392294,0.00006421185,0.00010082046,0.00011107189,0.897825,0.004686554,0.0062413383,0.00090491585,0.0891553],"study_design_scores_gemma":[0.000004360754,0.00003089757,0.00009909292,0.0000044746853,0.0000071109216,0.00000861904,0.0000055049495,0.99835473,0.00042474823,0.00072523655,0.00033044963,0.000004669954],"about_ca_topic_score_codex":0.009717205,"about_ca_topic_score_gemma":0.0077266307,"teacher_disagreement_score":0.009717205,"about_ca_system_score_codex":0.00055866706,"about_ca_system_score_gemma":0.0005838903,"threshold_uncertainty_score":0.019321263},"labels":[],"label_agreement":null},{"id":"W3189873277","doi":"10.3390/en14154617","title":"Comprehensive Review on Smart Techniques for Estimation of State of Health for Battery Management System Application","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"State of health; Battery (electricity); Internal resistance; Lithium-ion battery; Overvoltage; Reliability (semiconductor); Automotive engineering; Reliability engineering; Computer science; Overcurrent; Electrical engineering; Engineering; Power (physics); Voltage","score_opus":0.02451547471704246,"score_gpt":0.31641833420404575,"score_spread":0.2919028594870033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189873277","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016551521,0.9752254,0.015537541,0.00031132414,0.0005873732,0.000049512775,0.00029568403,0.00014357963,0.0061943764],"genre_scores_gemma":[0.012549323,0.9688723,0.01282079,0.00027454502,0.0005910054,0.00006970802,0.0005227984,0.000032346798,0.004267142],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99955446,0.000065683154,0.00006599522,0.00009540761,0.0001948657,0.000023581686],"domain_scores_gemma":[0.999308,0.00033296,0.00006699042,0.000031224674,0.00024721338,0.000013639854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006039813,0.00093612575,0.0010689578,0.0023269851,0.00020550127,0.0007888261,0.0009122624,0.0007682366,0.0040918496],"category_scores_gemma":[0.0011545352,0.0003398944,0.0009036986,0.0021989369,0.00024123026,0.001248343,0.00037581942,0.0005882302,0.0020928513],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008994874,0.00007331607,0.00079447386,0.018892301,0.0001419155,0.0002246557,0.00009415713,0.0019197833,0.010772064,0.0034736786,0.01881317,0.9447105],"study_design_scores_gemma":[0.0000136159515,0.00043337978,0.0049817935,0.0051099574,0.0005207344,0.002057709,0.00017314174,0.0045342944,0.013302448,0.0032645564,0.96549046,0.00011790081],"about_ca_topic_score_codex":0.0013143114,"about_ca_topic_score_gemma":0.001246403,"teacher_disagreement_score":0.0040918496,"about_ca_system_score_codex":0.000307238,"about_ca_system_score_gemma":0.00064739515,"threshold_uncertainty_score":0.013688624},"labels":[],"label_agreement":null},{"id":"W3189974217","doi":"10.1016/j.matt.2021.07.003","title":"Assessing battery kinetics with machine learning","year":2021,"lang":"en","type":"article","venue":"Matter","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Kinetics; Battery (electricity); Artificial intelligence; Machine learning; Computer science; Thermodynamics; Physics","score_opus":0.015751204858206753,"score_gpt":0.25989295176228966,"score_spread":0.2441417469040829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189974217","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32313338,0.0016401444,0.66228133,0.0003774495,0.00018474147,0.00022083598,0.0010840916,0.0036861782,0.007391833],"genre_scores_gemma":[0.9336256,0.00055760087,0.0614189,0.00012382596,0.000050616807,0.000112364185,0.0007763876,0.00013919258,0.0031955438],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958247,0.00009061634,0.000035367077,0.000120922705,0.00014049745,0.000030066474],"domain_scores_gemma":[0.9962274,0.0025627064,0.00044636053,0.00024208633,0.00044485932,0.00007650135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013577079,0.0010505815,0.0008730078,0.0014460746,0.00030335147,0.0011888195,0.0009146277,0.0010724309,0.0021176995],"category_scores_gemma":[0.0072226943,0.00037086767,0.00072126684,0.00088788744,0.00037331914,0.0019583334,0.00045799388,0.00089280313,0.0013311013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005049489,0.0005146096,0.028622203,0.00046513014,0.000217193,0.00011448847,0.000062369894,0.7232139,0.014189112,0.0022267876,0.002189992,0.22767924],"study_design_scores_gemma":[0.000005049206,0.00008304509,0.0021109858,0.000013258758,0.000018179491,0.00004139407,0.0000118168555,0.9885005,0.0060548047,0.0025457074,0.0006011634,0.000014195855],"about_ca_topic_score_codex":0.0021751875,"about_ca_topic_score_gemma":0.002506157,"teacher_disagreement_score":0.0021751875,"about_ca_system_score_codex":0.00056535244,"about_ca_system_score_gemma":0.0006486953,"threshold_uncertainty_score":0.007180333},"labels":[],"label_agreement":null},{"id":"W3190020358","doi":"10.1109/tpel.2021.3102292","title":"An Enhanced Electro-Thermal Model for EV Battery Packs Considering Current Distribution in Parallel Branches","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"National Key Research and Development Program of China Stem Cell and Translational Research; State Key Laboratory of Automotive Safety and Energy; National Natural Science Foundation of China","keywords":"Battery (electricity); Battery pack; Current (fluid); Thermal; Electrical engineering; Computer science; Automotive engineering; Topology (electrical circuits); Engineering; Physics; Thermodynamics","score_opus":0.017170359851431848,"score_gpt":0.28305247218582896,"score_spread":0.2658821123343971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190020358","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057528544,0.0011142922,0.9160741,0.00032592937,0.00016399156,0.000116393276,0.000586207,0.0011612801,0.02292921],"genre_scores_gemma":[0.9443237,0.0011715173,0.021240544,0.00012746283,0.00006830712,0.0003193556,0.0004901799,0.00015895808,0.032099973],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978334,0.000037150116,0.00001442265,0.00006324409,0.00007658749,0.00002524759],"domain_scores_gemma":[0.999848,0.00004250103,0.000019659725,0.000017599721,0.00006526032,0.000006905966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002329521,0.0007373822,0.000835023,0.00043616348,0.00038541824,0.000858505,0.0018624292,0.0012326709,0.0031213716],"category_scores_gemma":[0.000525002,0.0004895096,0.0012922942,0.00047227877,0.00036445228,0.0016343271,0.00055456633,0.00071042223,0.0011763581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003337674,0.000022050184,0.0003923569,0.0000623863,0.000015472457,0.000121360354,0.00005291961,0.9839055,0.0046678395,0.0023769524,0.00057448,0.007775386],"study_design_scores_gemma":[0.0000021286526,0.000010122175,0.000075965705,0.0000035117878,0.000005207384,0.00001655383,0.0000049196,0.9987011,0.0003525158,0.00035856038,0.00046622704,0.0000031844884],"about_ca_topic_score_codex":0.007157778,"about_ca_topic_score_gemma":0.006157989,"teacher_disagreement_score":0.007157778,"about_ca_system_score_codex":0.00066550693,"about_ca_system_score_gemma":0.0006033668,"threshold_uncertainty_score":0.014232218},"labels":[],"label_agreement":null},{"id":"W3191604561","doi":"10.1109/itec51675.2021.9490034","title":"Experimental Comparison of Two Liquid Cooling Methods for Ultrafast Charging Lithium-Ion Battery Modules","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Coolant; Battery (electricity); Computer cooling; Materials science; Nuclear engineering; Lithium-ion battery; Lithium (medication); Thermal; Electrical engineering; Mechanical engineering; Engineering; Thermodynamics; Thermal management of electronic devices and systems; Physics","score_opus":0.05400275615514893,"score_gpt":0.4057454727859661,"score_spread":0.3517427166308172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3191604561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97409487,0.000541179,0.022854669,0.00004814986,0.000060735383,0.00015436798,0.00021409667,0.00020614782,0.0018257153],"genre_scores_gemma":[0.9849578,0.00029675313,0.012507621,0.000031607786,0.00002891468,0.00023402393,0.00016922422,0.000058908474,0.0017152413],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99929845,0.00012454379,0.000041214058,0.000103232494,0.00033744928,0.0000950307],"domain_scores_gemma":[0.9989827,0.00028379547,0.000104333645,0.0001524599,0.00043349483,0.00004317086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076313264,0.00042799662,0.0005111042,0.00047628113,0.0005369078,0.0004548758,0.0011712406,0.00046343333,0.002593968],"category_scores_gemma":[0.0014835459,0.00025185538,0.00031500566,0.00045253642,0.0004863998,0.0008586232,0.00044118962,0.00044315762,0.00031307724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063722796,0.00022962905,0.0017350907,0.0004767285,0.00002837849,0.00007871645,0.0003731138,0.00087956456,0.97556907,0.0002430738,0.00022220779,0.019527322],"study_design_scores_gemma":[0.00003918871,0.0009909577,0.004248881,0.000014944084,0.00002983032,0.00010985318,0.00011397481,0.0021856783,0.99013805,0.00003505076,0.002072964,0.000020678353],"about_ca_topic_score_codex":0.00068666175,"about_ca_topic_score_gemma":0.0007815567,"teacher_disagreement_score":0.002593968,"about_ca_system_score_codex":0.00038522063,"about_ca_system_score_gemma":0.00031276012,"threshold_uncertainty_score":0.008677661},"labels":[],"label_agreement":null},{"id":"W3192025285","doi":"10.1109/itec51675.2021.9490103","title":"Energy Consumption Uncertainty Model For Battery-Electric Buses in Transit","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Battery (electricity); Energy (signal processing); Factorial experiment; Energy consumption; Artificial intelligence; Machine learning; Engineering; Mathematics; Electrical engineering; Statistics; Physics","score_opus":0.033547752672609635,"score_gpt":0.2755075501648367,"score_spread":0.24195979749222707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192025285","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57233137,0.0005764019,0.40681893,0.00088003854,0.00008230746,0.000100433084,0.002489281,0.0006082734,0.01611299],"genre_scores_gemma":[0.991816,0.00009893831,0.0031540892,0.000027985747,0.000007903294,0.000040394516,0.00059730944,0.000018457733,0.004238939],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996841,0.00006112012,0.000015873873,0.00010447852,0.000074748015,0.000059740665],"domain_scores_gemma":[0.9997197,0.000109238084,0.00004528633,0.000015774443,0.00009628119,0.000013692741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005042691,0.0007199051,0.0005215299,0.000428914,0.0003079441,0.000659056,0.00089387095,0.00064970506,0.0020460929],"category_scores_gemma":[0.0011885404,0.00042617213,0.00063234026,0.0005271645,0.000291826,0.00095269625,0.00048825535,0.00084796885,0.00023840688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019835392,0.000008040021,0.0009096586,0.000005970314,0.0000063045313,0.000020530362,0.000007785688,0.9966433,0.00013310014,0.00068793265,0.00013866174,0.0014188584],"study_design_scores_gemma":[7.742591e-7,0.0000037386542,0.00031180217,9.352619e-7,0.0000018958544,0.0000025241866,0.0000035092414,0.9992083,0.00005538322,0.00033509792,0.000074541975,0.000001531899],"about_ca_topic_score_codex":0.05376155,"about_ca_topic_score_gemma":0.03691305,"teacher_disagreement_score":0.05376155,"about_ca_system_score_codex":0.0018757855,"about_ca_system_score_gemma":0.00089160656,"threshold_uncertainty_score":0.106897235},"labels":[],"label_agreement":null},{"id":"W3192063318","doi":"10.1109/itec51675.2021.9490043","title":"Accurate Surface Temperature Estimation of Lithium-Ion Batteries Using Feedforward and Recurrent Artificial Neural Networks","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); State of charge; Artificial neural network; Feed forward; Battery pack; Computer science; Recurrent neural network; Feedforward neural network; Temperature measurement; Reliability (semiconductor); State of health; Control theory (sociology); Range (aeronautics); Automotive engineering; Materials science; Engineering; Artificial intelligence; Control engineering; Power (physics)","score_opus":0.028553062683350547,"score_gpt":0.29151816019828236,"score_spread":0.2629650975149318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192063318","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40289876,0.0010563916,0.5891384,0.00026591073,0.0001440499,0.000045500987,0.0003277421,0.0024199605,0.003703226],"genre_scores_gemma":[0.97552013,0.00016354313,0.02255187,0.000033935514,0.000015156433,0.000025594185,0.00024952713,0.000037926096,0.001402302],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998869,0.000018294091,0.000008569536,0.000032296673,0.000040758194,0.000013139646],"domain_scores_gemma":[0.9996879,0.00009923981,0.000042102172,0.000023547214,0.0001387135,0.00000859445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000288735,0.00059877295,0.00042341242,0.00031023583,0.00016998776,0.00045509133,0.0006192279,0.00043362984,0.0006641529],"category_scores_gemma":[0.0012628392,0.00027601313,0.00041239065,0.00026148732,0.00016254287,0.00082740595,0.00029248584,0.00050234626,0.00027625271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013385217,0.000054396693,0.0027651081,0.00007265177,0.0000412225,0.00007418657,0.000053341922,0.8878549,0.015136182,0.00041604342,0.0008517124,0.09254637],"study_design_scores_gemma":[0.0000011073133,0.0000089197865,0.0003276012,0.000001906756,0.0000024047674,0.000004259917,0.000002646708,0.99794954,0.0014918292,0.00014419838,0.00006300798,0.000002604954],"about_ca_topic_score_codex":0.008065562,"about_ca_topic_score_gemma":0.010141536,"teacher_disagreement_score":0.008065562,"about_ca_system_score_codex":0.0005496853,"about_ca_system_score_gemma":0.0003229718,"threshold_uncertainty_score":0.016037226},"labels":[],"label_agreement":null},{"id":"W3192875172","doi":"10.22214/ijraset.2021.36967","title":"An Experimental Study of Battery Thermal Management using Air Cooling and PCM (Lauric Acid)","year":2021,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Battery (electricity); Automotive engineering; Phase-change material; Water cooling; Air cooling; Computer cooling; Lauric acid; Electrical engineering; Thermal; Materials science; Environmental science; Nuclear engineering; Engineering; Mechanical engineering; Thermal management of electronic devices and systems; Meteorology; Chemistry; Thermodynamics","score_opus":0.05758393063932511,"score_gpt":0.3959398229995288,"score_spread":0.3383558923602037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192875172","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920501,0.000364436,0.004310191,0.00007892742,0.00013591057,0.00008319551,0.00029201157,0.00012990601,0.0025553566],"genre_scores_gemma":[0.99295866,0.0003026454,0.0030859995,0.000031163938,0.000017561124,0.00009068467,0.00017095928,0.00003620214,0.0033061546],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997311,0.000022735308,0.000016636523,0.00007923893,0.00008804623,0.00006217887],"domain_scores_gemma":[0.9996836,0.00007083694,0.00002847826,0.000059241596,0.00012936568,0.000028378328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029958834,0.00035265775,0.00035591197,0.00025454976,0.0005057843,0.00037455757,0.0006386662,0.00048417895,0.0043159174],"category_scores_gemma":[0.0006015222,0.00015765919,0.00032893938,0.00026707127,0.00034258104,0.0006556251,0.00026970045,0.0004421466,0.0005438588],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061984436,0.0006336189,0.0012498753,0.00029740573,0.000014764811,0.00019727329,0.00023854322,0.0010781368,0.983536,0.00035307766,0.0004635233,0.011317864],"study_design_scores_gemma":[0.00005214685,0.002872139,0.0042746062,0.000020496995,0.000028589651,0.0001692004,0.00022149003,0.0055419477,0.9828844,0.00012160937,0.0037928724,0.000020455032],"about_ca_topic_score_codex":0.00059095793,"about_ca_topic_score_gemma":0.00068915926,"teacher_disagreement_score":0.0043159174,"about_ca_system_score_codex":0.00020389108,"about_ca_system_score_gemma":0.00028274104,"threshold_uncertainty_score":0.014438152},"labels":[],"label_agreement":null},{"id":"W3194401491","doi":"10.1109/tpel.2021.3104759","title":"Efficiency Improved Multi-Source Inverter for Hybrid Energy Storage Systems in Electric Vehicle Application","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Converters; Power electronics; Energy storage; Voltage source; Electronic engineering; Power (physics); Voltage; Electrical engineering; Inverter; Computer science; Electric vehicle; Pulse-width modulation; Current source; Energy source; Engineering; Physics; Renewable energy","score_opus":0.007868518745180377,"score_gpt":0.23304751774677512,"score_spread":0.22517899900159474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194401491","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1952737,0.0027245507,0.77531636,0.0002596599,0.00014171068,0.00012046608,0.00021094985,0.0015060158,0.024446597],"genre_scores_gemma":[0.9585987,0.0004768082,0.036195844,0.000044738765,0.000029302926,0.00003936745,0.0001265689,0.000035953,0.0044528474],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999441,0.0000073413985,0.0000043650725,0.000008097201,0.00003220849,0.000003921358],"domain_scores_gemma":[0.9999701,0.0000064710566,0.000004915799,0.0000039466113,0.000013132346,0.0000014634152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000073712494,0.00020977187,0.0002964496,0.00021741669,0.00015486714,0.00029922414,0.00037999518,0.00018682532,0.0026687204],"category_scores_gemma":[0.00008256445,0.000071806215,0.00015638625,0.00029308128,0.00007760889,0.00044054622,0.00017928216,0.00024725386,0.00043705915],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039021848,0.00018291238,0.0010526468,0.0006809092,0.00006740756,0.00021941241,0.00016152124,0.022464616,0.58211356,0.016894696,0.003303661,0.37246844],"study_design_scores_gemma":[0.000115691866,0.0010247234,0.0047060405,0.000079726546,0.00010226747,0.00068940286,0.00008807267,0.5951913,0.3416998,0.007250913,0.049012423,0.00003967816],"about_ca_topic_score_codex":0.00014284451,"about_ca_topic_score_gemma":0.00043548047,"teacher_disagreement_score":0.0026687204,"about_ca_system_score_codex":0.00016180032,"about_ca_system_score_gemma":0.00009626879,"threshold_uncertainty_score":0.008927703},"labels":[],"label_agreement":null},{"id":"W3194505007","doi":"10.22214/ijraset.2021.37556","title":"Performance Evaluation of Single-Phase On-Board Charger with Advanced Controller","year":2021,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Controller (irrigation); Battery (electricity); Computer science; Battery charger; Electric vehicle; Maximum power transfer theorem; Electrical engineering; Power (physics); Overshoot (microwave communication); Battery pack; Grid; Topology (electrical circuits); Engineering; Physics","score_opus":0.07129586512855104,"score_gpt":0.3973767319316111,"score_spread":0.32608086680306003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194505007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88598925,0.0018051543,0.08355504,0.0003154851,0.0006422832,0.000522245,0.00040949398,0.0050513004,0.021709815],"genre_scores_gemma":[0.9935968,0.00010445714,0.0029136343,0.000047887952,0.000012572324,0.000052592368,0.00010011583,0.00004342768,0.003128547],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99884194,0.00017103142,0.00008134493,0.00021253723,0.00055478135,0.00013844552],"domain_scores_gemma":[0.9985233,0.00027210053,0.00012257634,0.00018816533,0.00080462586,0.00008917831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079783687,0.0009838439,0.0010902783,0.0010126035,0.000753918,0.0010961269,0.0016648783,0.0011101945,0.008504176],"category_scores_gemma":[0.0013039067,0.0002156852,0.0004788764,0.00042967597,0.0002945415,0.0007912148,0.0004104575,0.0004947357,0.0014569167],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011727176,0.002771647,0.012304764,0.003730178,0.00080971664,0.0015585126,0.0010433699,0.12330801,0.42380753,0.0021748436,0.009989159,0.4067751],"study_design_scores_gemma":[0.0007471074,0.011010324,0.014748907,0.000109534056,0.00038858462,0.001102192,0.0003707499,0.7109861,0.24952541,0.00037475885,0.010469262,0.00016711764],"about_ca_topic_score_codex":0.003779537,"about_ca_topic_score_gemma":0.0020357156,"teacher_disagreement_score":0.008504176,"about_ca_system_score_codex":0.00067063293,"about_ca_system_score_gemma":0.00053954445,"threshold_uncertainty_score":0.028449297},"labels":[],"label_agreement":null},{"id":"W3194951344","doi":"10.20944/preprints202108.0334.v1","title":"A Survey of Wireless Battery Management System: Topology, Emerging Trends, and Challenges","year":2021,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Scalability; Open research; Battery (electricity); Computer science; Network topology; Domain (mathematical analysis); Wireless; Architecture; Telecommunications; Systems engineering; Engineering; Power (physics); Computer network; World Wide Web","score_opus":0.13707083135734502,"score_gpt":0.3434695149343595,"score_spread":0.2063986835770145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194951344","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015972434,0.9001498,0.03957041,0.0032339166,0.0012645391,0.000097125296,0.0005856096,0.00042109835,0.03870497],"genre_scores_gemma":[0.054114968,0.9125806,0.01666733,0.0011258041,0.0016052964,0.00008440191,0.0013063991,0.00010478193,0.012410384],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993444,0.00010450071,0.00010131434,0.00014073578,0.00025407175,0.000055011104],"domain_scores_gemma":[0.9986725,0.00055030035,0.000120966644,0.00007678563,0.0005150843,0.00006437252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089679746,0.00078733277,0.0006707432,0.0031825334,0.000380265,0.0017114963,0.00084677426,0.0009377978,0.0037238873],"category_scores_gemma":[0.0019596384,0.00047336944,0.00042872122,0.00533598,0.00038711427,0.005180133,0.0007308728,0.00074550527,0.0020264247],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008696985,0.00006899186,0.0028486105,0.0060120984,0.000043053937,0.00018973096,0.0002174772,0.0036771097,0.003791199,0.019281358,0.025530849,0.9382526],"study_design_scores_gemma":[0.00000775826,0.00034993864,0.004251185,0.0025718934,0.00011906386,0.0023523723,0.00076533615,0.007822501,0.0036909846,0.014188291,0.9638005,0.00008017236],"about_ca_topic_score_codex":0.0007858632,"about_ca_topic_score_gemma":0.0008499957,"teacher_disagreement_score":0.0037238873,"about_ca_system_score_codex":0.00047457666,"about_ca_system_score_gemma":0.0006921323,"threshold_uncertainty_score":0.012457669},"labels":[],"label_agreement":null},{"id":"W3195109032","doi":"10.1016/j.energy.2021.121857","title":"State of health prognostics for series battery packs: A universal deep learning method","year":2021,"lang":"en","type":"article","venue":"Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":116,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); Prognostics; Reliability (semiconductor); State of health; State (computer science); Feature (linguistics); Reliability engineering; Series (stratigraphy); Computer science; Deep learning; Artificial intelligence; Engineering; Algorithm; Power (physics)","score_opus":0.017944612056118685,"score_gpt":0.28385345809802837,"score_spread":0.2659088460419097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195109032","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08556246,0.0010729968,0.90787154,0.00043089376,0.00014058893,0.00005217545,0.00046243623,0.001170532,0.0032363946],"genre_scores_gemma":[0.95447534,0.00033491556,0.040016893,0.00014085123,0.00007961381,0.000052568354,0.0004670747,0.000036905345,0.0043957434],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999894,0.000015656236,0.000008204959,0.000035925565,0.000023072138,0.000023032719],"domain_scores_gemma":[0.9996295,0.00015205563,0.00003925364,0.000041416868,0.00011353066,0.00002425569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005274088,0.00065762515,0.00067400775,0.0005162706,0.00021445117,0.0006122018,0.0009344024,0.0009531458,0.002370386],"category_scores_gemma":[0.0014782127,0.00030212998,0.0005734209,0.00037174445,0.0002891733,0.0009177996,0.0007766626,0.0010528989,0.0004393495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028203067,0.00015317094,0.003998457,0.00013575656,0.000081621554,0.000100005476,0.000060425962,0.6926115,0.0029744161,0.0038252005,0.0036937126,0.29208368],"study_design_scores_gemma":[0.0000022093134,0.0000085030015,0.0001730723,0.0000053326703,0.000004837564,0.0000072361468,0.0000024493545,0.9984642,0.00027860052,0.00094207516,0.000109267516,0.0000021322637],"about_ca_topic_score_codex":0.006702593,"about_ca_topic_score_gemma":0.0070603914,"teacher_disagreement_score":0.006702593,"about_ca_system_score_codex":0.00045586334,"about_ca_system_score_gemma":0.00072984333,"threshold_uncertainty_score":0.013327181},"labels":[],"label_agreement":null},{"id":"W3196103919","doi":"10.1016/j.psep.2021.08.006","title":"Modeling of thermal runaway propagation of NMC battery packs after fast charging operation","year":2021,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Chongqing Basic Science and Advanced Technology Research Program; National Key Laboratory Foundation of China; Chongqing Social Science Planning Fund; National Natural Science Foundation of China; Chongqing University of Science and Technology; Natural Sciences and Engineering Research Council of Canada","keywords":"Thermal runaway; Battery (electricity); Thermal; Nuclear engineering; Lithium-ion battery; Battery pack; Materials science; Electrical engineering; Automotive engineering; Engineering; Mechanics; Thermodynamics; Physics; Power (physics)","score_opus":0.00855419815800179,"score_gpt":0.2047823810759598,"score_spread":0.19622818291795802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196103919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7448795,0.0010260965,0.16452403,0.0008193415,0.0003020521,0.00017569399,0.0012988647,0.0018154248,0.08515903],"genre_scores_gemma":[0.989865,0.00011054003,0.0012797805,0.0000316118,0.00001078621,0.000022438238,0.000112329515,0.00008268484,0.00848491],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998884,0.000015662212,0.0000032719195,0.000017633007,0.00003506692,0.0000400465],"domain_scores_gemma":[0.9996811,0.00012237675,0.000040931307,0.000030495117,0.000101217025,0.00002401578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023820216,0.0005949864,0.0005922932,0.0003800682,0.0006613057,0.0007929074,0.0012610735,0.001289364,0.0049171085],"category_scores_gemma":[0.00093701854,0.0004257596,0.00076412235,0.0003284527,0.00063798943,0.0008982855,0.0004464873,0.000703327,0.0006706754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006198355,0.000017629867,0.0006599978,0.00003858746,0.000013265844,0.00017217212,0.00005843861,0.9922626,0.003167799,0.0012955336,0.00044838092,0.0018036265],"study_design_scores_gemma":[0.0000028048032,0.00001279782,0.000283252,0.000003691411,0.0000050400013,0.000013888101,0.000013196865,0.9985331,0.0006905105,0.00025327716,0.00018476983,0.0000036149345],"about_ca_topic_score_codex":0.030530695,"about_ca_topic_score_gemma":0.017893756,"teacher_disagreement_score":0.030530695,"about_ca_system_score_codex":0.0013101022,"about_ca_system_score_gemma":0.00088529737,"threshold_uncertainty_score":0.06070596},"labels":[],"label_agreement":null},{"id":"W3196143163","doi":"10.1109/tte.2021.3107143","title":"Battery Health-Aware and Deep Reinforcement Learning-Based Energy Management for Naturalistic Data-Driven Driving Scenarios","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"State Key Laboratory of Mechanical System and Vibration; National Natural Science Foundation of China","keywords":"Reinforcement learning; Battery (electricity); Computer science; Convergence (economics); Fuel efficiency; State of charge; Energy management; Stability (learning theory); Power (physics); Automotive engineering; Energy (signal processing); Artificial intelligence; Engineering; Machine learning","score_opus":0.020317861933531498,"score_gpt":0.272136123870601,"score_spread":0.25181826193706947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196143163","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07472749,0.0004196324,0.9201656,0.00024465632,0.00006222589,0.000045550274,0.00007542456,0.00058069284,0.0036787002],"genre_scores_gemma":[0.9784484,0.000078699726,0.02003626,0.00006315504,0.000011584335,0.000035022786,0.00006212009,0.00001921845,0.0012455729],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998902,0.000017416229,0.000005206713,0.000036357782,0.000023681392,0.000027005979],"domain_scores_gemma":[0.9998233,0.000059457834,0.000024564515,0.000013005171,0.000059849637,0.000019928153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031173814,0.0005470362,0.00041714116,0.00017984459,0.00020777629,0.00034634655,0.000860872,0.00043404195,0.00077980326],"category_scores_gemma":[0.00067741115,0.00021258352,0.00024365785,0.00014594132,0.00033352766,0.0005533253,0.0005151147,0.00061585096,0.00012232123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004706772,0.000070842696,0.0012364327,0.000038452792,0.000022972028,0.00006111834,0.00003386774,0.9459807,0.0030610757,0.0019764942,0.0006993163,0.046771683],"study_design_scores_gemma":[0.0000023629816,0.000011637438,0.00008602347,0.000001197254,0.0000023752996,0.0000048807656,0.0000028990257,0.9989335,0.00030702978,0.0005264744,0.000120180586,0.0000013974258],"about_ca_topic_score_codex":0.007003238,"about_ca_topic_score_gemma":0.00922112,"teacher_disagreement_score":0.007003238,"about_ca_system_score_codex":0.00051826,"about_ca_system_score_gemma":0.0007682029,"threshold_uncertainty_score":0.013924956},"labels":[],"label_agreement":null},{"id":"W3197903489","doi":"10.1109/tie.2021.3108715","title":"A Balancing Current Ratio Based State-of-Health Estimation Solution for Lithium-Ion Battery Pack","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"High Value Manufacturing Catapult; Science, Technology and Innovation Commission of Shenzhen Municipality; Queen's University; Queen's University Belfast","keywords":"Current (fluid); Battery pack; Lithium (medication); Battery (electricity); State of health; Estimation; Ion; Lithium-ion battery; State (computer science); Electrical engineering; Automotive engineering; Computer science; Reliability engineering; Materials science; Engineering; Power (physics); Chemistry; Physics; Thermodynamics; Systems engineering; Algorithm; Medicine","score_opus":0.04662434258566139,"score_gpt":0.30607518871240147,"score_spread":0.2594508461267401,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197903489","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018667469,0.00026944757,0.9781714,0.00009064256,0.000035197307,0.000041225903,0.000029021598,0.00084526447,0.0018503846],"genre_scores_gemma":[0.88753366,0.00023600573,0.10989355,0.00012195372,0.00005849947,0.000094517556,0.00012492808,0.00006758937,0.0018693411],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996691,0.000050281804,0.000029586758,0.00008205191,0.0001370891,0.00003198591],"domain_scores_gemma":[0.9997056,0.00007054356,0.00004925941,0.000035446807,0.00012682808,0.000012294692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000506913,0.0006080023,0.0005173085,0.0004864543,0.00032829557,0.00069778034,0.0009869834,0.00054715533,0.0014311444],"category_scores_gemma":[0.0013537246,0.0002563501,0.00039189958,0.0003297149,0.0002463996,0.0013843615,0.00088958186,0.0004469297,0.00041898535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043586505,0.00011117399,0.0031039855,0.00027013928,0.00008752334,0.0002023628,0.00036628247,0.32665083,0.06181551,0.008391722,0.0031216098,0.5954429],"study_design_scores_gemma":[0.000011387814,0.000086927685,0.0005195139,0.000011699769,0.000024344075,0.00007703173,0.000028545563,0.98551697,0.010025158,0.002374716,0.0013090143,0.000014710752],"about_ca_topic_score_codex":0.0014448302,"about_ca_topic_score_gemma":0.0014329398,"teacher_disagreement_score":0.0014448302,"about_ca_system_score_codex":0.00030604607,"about_ca_system_score_gemma":0.00031150164,"threshold_uncertainty_score":0.004787624},"labels":[],"label_agreement":null},{"id":"W3198500589","doi":"10.3390/electronics10182193","title":"A Survey of Wireless Battery Management System: Topology, Emerging Trends, and Challenges","year":2021,"lang":"en","type":"article","venue":"Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Scalability; Battery (electricity); Open research; Network topology; Computer science; Wireless; Domain (mathematical analysis); Architecture; Telecommunications; Systems engineering; Engineering; Computer network; Power (physics); World Wide Web","score_opus":0.024745437231639755,"score_gpt":0.26824925800815336,"score_spread":0.2435038207765136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198500589","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014570601,0.91613585,0.02716614,0.002835275,0.0010879287,0.000084969506,0.00045679664,0.00030112988,0.037361246],"genre_scores_gemma":[0.051098425,0.9212124,0.012614501,0.0010718311,0.0012997197,0.000071325885,0.0009614313,0.00006337989,0.011607023],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995303,0.000070279326,0.0000777629,0.000092705835,0.00018808263,0.00004083052],"domain_scores_gemma":[0.9990069,0.0003893458,0.0001070459,0.00004573943,0.00040168827,0.000049200673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006934091,0.0007014915,0.00056588807,0.0028832285,0.00035454973,0.0013641417,0.000739351,0.000796243,0.003626989],"category_scores_gemma":[0.0014070878,0.0003798974,0.00037531997,0.004548661,0.00032127326,0.004345164,0.00060933136,0.000638967,0.0016269532],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007964271,0.00006656702,0.00311433,0.006674228,0.000038555994,0.00021993162,0.00021026068,0.003031763,0.004189632,0.01579611,0.0256535,0.9409254],"study_design_scores_gemma":[0.000006811117,0.0003724025,0.0044771996,0.0025786946,0.00011727891,0.0026173494,0.00073245727,0.0063473373,0.0033992883,0.009513323,0.9697651,0.00007269066],"about_ca_topic_score_codex":0.0007550961,"about_ca_topic_score_gemma":0.0009996974,"teacher_disagreement_score":0.003626989,"about_ca_system_score_codex":0.00039629912,"about_ca_system_score_gemma":0.00063267327,"threshold_uncertainty_score":0.012133539},"labels":[],"label_agreement":null},{"id":"W3199463888","doi":"10.20944/preprints202107.0164.v1","title":"A Comprehensive Review of Lithium-ion Cell Temperature Estimation Techniques Applicable to Health-Conscious Fast Charging and Smart Battery Management Systems","year":2021,"lang":"en","type":"review","venue":"Preprints.org","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); State of health; Computer science; State of charge; Adaptability; Reliability engineering; Automotive engineering; Engineering; Power (physics)","score_opus":0.07381996316869549,"score_gpt":0.36767503124783163,"score_spread":0.29385506807913614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199463888","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013882181,0.9583189,0.030497698,0.00035433858,0.0009786678,0.00005684916,0.00014902442,0.0001969176,0.008059443],"genre_scores_gemma":[0.013202384,0.96015704,0.018087648,0.000418298,0.001238321,0.00007472341,0.00039499364,0.00007978509,0.0063467394],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99933064,0.00009788546,0.00011871305,0.00015660739,0.0002563852,0.000039779246],"domain_scores_gemma":[0.99906284,0.00043284422,0.00007048993,0.00006319448,0.0003456658,0.00002498476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008307477,0.0012285964,0.0012514885,0.0021723104,0.00035124467,0.0014499099,0.0013343012,0.001084167,0.004826498],"category_scores_gemma":[0.0015494492,0.00061466557,0.0010301847,0.003451222,0.00040273988,0.0024627845,0.00071087125,0.0010446288,0.0030012124],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009162733,0.00007891857,0.0005577514,0.017524464,0.00012253074,0.00020641115,0.00012938911,0.00463648,0.0069003976,0.008226728,0.020686662,0.9408387],"study_design_scores_gemma":[0.000009654626,0.00029284513,0.0018762627,0.0038804184,0.0002748222,0.0013542951,0.0001372883,0.009540596,0.006797966,0.005529979,0.9701946,0.00011121233],"about_ca_topic_score_codex":0.0013206148,"about_ca_topic_score_gemma":0.000972128,"teacher_disagreement_score":0.004826498,"about_ca_system_score_codex":0.0004717494,"about_ca_system_score_gemma":0.00088422204,"threshold_uncertainty_score":0.016146183},"labels":[],"label_agreement":null},{"id":"W3199713575","doi":"10.1051/e3sconf/202129701043","title":"Comparing Single and Hybrid methods of Deep Learning for Remaining Useful Life Prediction of Lithium-ion Batteries","year":2021,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Benchmark (surveying); Battery (electricity); Computer science; Reliability (semiconductor); Reliability engineering; Convolutional neural network; Lithium (medication); Lithium-ion battery; Artificial neural network; Mean squared error; Mean squared prediction error; Artificial intelligence; Machine learning; Statistics; Engineering; Power (physics); Mathematics","score_opus":0.06874132486302334,"score_gpt":0.314267895269951,"score_spread":0.24552657040692769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199713575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7526597,0.0075597586,0.22815734,0.00071231666,0.00034734118,0.00010648133,0.0006954908,0.0032440003,0.00651751],"genre_scores_gemma":[0.9745432,0.00050876813,0.022680176,0.00009119709,0.00004413378,0.000037128233,0.00048562625,0.000033174612,0.0015766564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996581,0.000069835165,0.000032488017,0.00008966038,0.00009373254,0.00005613351],"domain_scores_gemma":[0.9991677,0.0003990949,0.00007741657,0.00007276027,0.00023927992,0.000043780965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014146166,0.0011167496,0.00060710596,0.0008994837,0.00020689736,0.0006524172,0.0010059247,0.0007858778,0.000614872],"category_scores_gemma":[0.0023048345,0.00019592952,0.00047046592,0.0005470359,0.0002354472,0.0010714368,0.0006296686,0.00059021154,0.00015981909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057788764,0.00028139105,0.010930994,0.00021534525,0.00027610458,0.000090037785,0.00006565887,0.72611874,0.003931118,0.0007874861,0.0023382376,0.25438696],"study_design_scores_gemma":[0.0000071194618,0.000052947347,0.0008398142,0.00000735133,0.000017008158,0.000009235454,0.000012180829,0.997396,0.0013409408,0.00018722354,0.00012463014,0.000005538554],"about_ca_topic_score_codex":0.0114734955,"about_ca_topic_score_gemma":0.009634035,"teacher_disagreement_score":0.0114734955,"about_ca_system_score_codex":0.0006256039,"about_ca_system_score_gemma":0.0006976594,"threshold_uncertainty_score":0.02281344},"labels":[],"label_agreement":null},{"id":"W3200167868","doi":"10.11575/prism/39256","title":"Research Gaps In Life-Cycle Assessments Concerning Pumped Hydroelectric And Utility-Scale Battery Energy Storage Systems (Ess): Establishing A Unifying Approach To Ess Comparison","year":2021,"lang":"en","type":"article","venue":"Open MIND","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Mitacs","keywords":"Hydroelectricity; Battery (electricity); Energy storage; Scale (ratio); Environmental science; Life-cycle assessment; Reliability engineering; Engineering; Computer science; Operations research; Electrical engineering; Power (physics); Production (economics); Economics; Geography; Physics","score_opus":0.09585310518131174,"score_gpt":0.3765984966503778,"score_spread":0.2807453914690661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200167868","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3398442,0.3510589,0.15233162,0.046821237,0.00158738,0.001095868,0.010590667,0.00064210186,0.096028045],"genre_scores_gemma":[0.84001887,0.08973553,0.058936182,0.003948578,0.00041325326,0.0006402274,0.004130975,0.00023817252,0.0019382363],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98102623,0.008726476,0.0028175733,0.0014201488,0.0054651974,0.00054439914],"domain_scores_gemma":[0.9203901,0.050850302,0.004462556,0.00408873,0.019467805,0.00074045814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.048989244,0.0009998465,0.0022415165,0.0062999893,0.001090431,0.0061508664,0.0037712497,0.0022930051,0.002741084],"category_scores_gemma":[0.05716138,0.00040238682,0.0016258205,0.0064011333,0.0020029282,0.010899756,0.0027970287,0.0015857546,0.000809683],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071083475,0.00063468795,0.02539128,0.01725572,0.00080680556,0.0002914075,0.0021986077,0.051410712,0.007983895,0.045771074,0.007281382,0.8402636],"study_design_scores_gemma":[0.00017392889,0.004966285,0.14000183,0.053494878,0.0017469068,0.0009907585,0.031778086,0.07169567,0.04080471,0.31020844,0.34344143,0.0006970292],"about_ca_topic_score_codex":0.0068064197,"about_ca_topic_score_gemma":0.009775425,"teacher_disagreement_score":0.048989244,"about_ca_system_score_codex":0.0049080737,"about_ca_system_score_gemma":0.0070586205,"threshold_uncertainty_score":0.25908303},"labels":[],"label_agreement":null},{"id":"W3200195263","doi":"10.1109/tmech.2021.3105950","title":"Comparison of Decentralized ADMM Optimization Algorithms for Power Allocation in Modular Fuel Cell Vehicles","year":2021,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydrogenics (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Modular design; Powertrain; Modularity (biology); Computer science; Flexibility (engineering); Robustness (evolution); Distributed computing; Mathematical optimization; Mathematics; Torque","score_opus":0.027171071010143176,"score_gpt":0.30708800062546576,"score_spread":0.2799169296153226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200195263","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037377633,0.00055828906,0.9575891,0.00020948921,0.00008124301,0.0000586188,0.00003351575,0.0002248203,0.0038672325],"genre_scores_gemma":[0.76347697,0.0006024392,0.23370452,0.00010608067,0.00006698398,0.000157037,0.00016306885,0.000072346185,0.001650504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995198,0.00022030248,0.000026034817,0.00006579674,0.000120503006,0.000047574056],"domain_scores_gemma":[0.99887806,0.00061890355,0.000107520194,0.00010025234,0.0002385508,0.00005678704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016081011,0.0010218798,0.0008532083,0.00039755955,0.0003348623,0.0006722442,0.00080504804,0.000928196,0.0010558632],"category_scores_gemma":[0.0033395675,0.00028534024,0.0005798344,0.00040532948,0.0004654415,0.00082152715,0.00084706,0.0011502539,0.00021663409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097046424,0.00005400427,0.00030732364,0.00007100265,0.000035288984,0.00002832285,0.000035962184,0.9595059,0.00094326213,0.005267316,0.00055613444,0.033098448],"study_design_scores_gemma":[0.000011228269,0.00003931449,0.00008201192,0.0000035549856,0.0000037779414,0.0000069114294,0.000008821293,0.99836653,0.00028705262,0.00098455,0.00020358614,0.000002645169],"about_ca_topic_score_codex":0.0023706632,"about_ca_topic_score_gemma":0.0019201428,"teacher_disagreement_score":0.0023706632,"about_ca_system_score_codex":0.0004443124,"about_ca_system_score_gemma":0.0010773358,"threshold_uncertainty_score":0.0085045695},"labels":[],"label_agreement":null},{"id":"W3200337091","doi":"10.1109/sege52446.2021.9535008","title":"Modular Bidirectional Converter with Multiple Power Sources for Fast Charging of Electric Vehicles","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Modular design; Energy storage; Computer science; Automotive engineering; MATLAB; Power (physics); Reliability (semiconductor); Energy (signal processing); Electrical engineering; Engineering; Operating system","score_opus":0.010110365993179507,"score_gpt":0.22554193661457825,"score_spread":0.21543157062139873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200337091","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15176964,0.0018203642,0.78091,0.00034515082,0.0003592014,0.00039738967,0.00038699096,0.003425957,0.060585335],"genre_scores_gemma":[0.96746284,0.0005623076,0.025495082,0.000055734108,0.000026261607,0.00009379635,0.000132608,0.00006650624,0.0061047897],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987066,0.000025157304,0.000008789923,0.000019305888,0.000060552393,0.000015524498],"domain_scores_gemma":[0.9999161,0.000015710517,0.0000090935555,0.000017508473,0.00003619363,0.000005418991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021856755,0.00036954417,0.00031709316,0.0004346595,0.00031739197,0.0006864006,0.00066974893,0.00026021572,0.004949397],"category_scores_gemma":[0.0001963037,0.00015625001,0.00033169956,0.00048619838,0.00015315996,0.00056450843,0.00038429757,0.00059705676,0.0012468506],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008443879,0.00048629066,0.001910768,0.0016845559,0.00014955975,0.000603588,0.00038363173,0.06956729,0.36111057,0.042645656,0.0086367,0.5119771],"study_design_scores_gemma":[0.0002522419,0.0010471661,0.0026677067,0.00032606372,0.00020577844,0.0015321914,0.00027198525,0.6069322,0.27419966,0.025955746,0.08650919,0.00010011449],"about_ca_topic_score_codex":0.0004994615,"about_ca_topic_score_gemma":0.0010401946,"teacher_disagreement_score":0.004949397,"about_ca_system_score_codex":0.00028808083,"about_ca_system_score_gemma":0.00036040187,"threshold_uncertainty_score":0.016557336},"labels":[],"label_agreement":null},{"id":"W3200675701","doi":"10.11575/prism/39258","title":"Feasibility Of Utilizing On-Site Solar Thermal Energy Production Plus Thermal Energy Storage For Ev Charging","year":2021,"lang":"en","type":"article","venue":"Open MIND","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Thermal energy storage; Solar energy; Thermal; Photovoltaic system; Thermal energy; Production (economics); Photovoltaic thermal hybrid solar collector; Energy storage; Waste management; Engineering; Meteorology; Physics; Electrical engineering; Thermodynamics","score_opus":0.0627083274320398,"score_gpt":0.31682467316161445,"score_spread":0.25411634572957464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200675701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8933928,0.00097304385,0.0384574,0.0003347637,0.000057104102,0.0002118553,0.0002570392,0.00028244665,0.06603369],"genre_scores_gemma":[0.9923798,0.00026051537,0.0042048157,0.000015618121,0.0000057839266,0.000016114602,0.000096859454,0.000012255286,0.0030083226],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961686,0.00008230451,0.000011058412,0.000033822093,0.00020945442,0.000046452897],"domain_scores_gemma":[0.99970466,0.00010370882,0.000021181664,0.00003297612,0.00012463208,0.000012724442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004440103,0.00026932018,0.0002418839,0.0004666454,0.00048876036,0.00095209427,0.00083857484,0.00034639097,0.004335864],"category_scores_gemma":[0.0005847418,0.0001399181,0.0004185191,0.000410152,0.0002685745,0.0011355955,0.0005308879,0.00030537805,0.00041244234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002582845,0.0009237103,0.02804598,0.0016168181,0.00025510576,0.0010582673,0.00043857557,0.16935025,0.3144256,0.01981841,0.0032127295,0.45827177],"study_design_scores_gemma":[0.00039473598,0.006767352,0.039268836,0.00033979354,0.0004356709,0.0014192319,0.0035975138,0.29186413,0.59066194,0.011014446,0.05409218,0.00014428736],"about_ca_topic_score_codex":0.0059288377,"about_ca_topic_score_gemma":0.020935688,"teacher_disagreement_score":0.0059288377,"about_ca_system_score_codex":0.0007582974,"about_ca_system_score_gemma":0.0010898411,"threshold_uncertainty_score":0.01450485},"labels":[],"label_agreement":null},{"id":"W3201372072","doi":"10.1109/tec.2021.3111525","title":"Lithium-Ion Batteries Long Horizon Health Prognostic Using Machine Learning","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nonlinear autoregressive exogenous model; Artificial neural network; Autoregressive model; Computer science; State of health; Recurrent neural network; Machine learning; Mean squared error; Artificial intelligence; Nonlinear system; Battery (electricity); Engineering; Data mining; Power (physics); Statistics","score_opus":0.018783895117827028,"score_gpt":0.2533121760335757,"score_spread":0.23452828091574868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201372072","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5545661,0.002758398,0.43062788,0.0006497185,0.00016493262,0.000083665356,0.0007293061,0.0040038303,0.006416131],"genre_scores_gemma":[0.9885473,0.00020656605,0.010050572,0.000031666303,0.000019132887,0.000020837695,0.00028652122,0.000009353358,0.00082806754],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998623,0.000028197994,0.000012748776,0.000032444615,0.000047474765,0.0000167943],"domain_scores_gemma":[0.9996793,0.00012469525,0.00005168068,0.000025741305,0.00010621656,0.00001236775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040647425,0.00052405085,0.0004641743,0.0004266595,0.00017085811,0.00043179077,0.00040631526,0.00036825245,0.0005836658],"category_scores_gemma":[0.0011448549,0.00011334564,0.00025858046,0.00031082705,0.00012567033,0.00050426193,0.0003067144,0.0003793182,0.00019404138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019615465,0.00010171255,0.0096487915,0.00009139688,0.000063724125,0.00012858947,0.000034253964,0.7838061,0.004012874,0.0005201979,0.0013765987,0.20001967],"study_design_scores_gemma":[0.0000020424218,0.000021755352,0.00089514244,0.0000037379057,0.000003965055,0.000008946278,0.000004669963,0.9977875,0.00093302806,0.00021023735,0.00012548293,0.0000034003067],"about_ca_topic_score_codex":0.0073938956,"about_ca_topic_score_gemma":0.006637091,"teacher_disagreement_score":0.0073938956,"about_ca_system_score_codex":0.00046975096,"about_ca_system_score_gemma":0.00044682962,"threshold_uncertainty_score":0.014701724},"labels":[],"label_agreement":null},{"id":"W3202060642","doi":"10.1016/j.est.2021.103252","title":"A comprehensive equivalent circuit model for lithium-ion batteries, incorporating the effects of state of health, state of charge, and temperature on model parameters","year":2021,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":510,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nuvation (Canada); University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Equivalent circuit; Thévenin's theorem; State of charge; State of health; Electronic engineering; Lithium-ion battery; Capacitance; Voltage; Battery (electricity); Materials science; Computer science; Engineering; Electrical engineering; Chemistry; Physics","score_opus":0.030481936990267067,"score_gpt":0.2693872627715993,"score_spread":0.23890532578133222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202060642","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014776139,0.0011966698,0.94865155,0.00042086336,0.00021342802,0.00017520068,0.0016022896,0.0018904395,0.031073363],"genre_scores_gemma":[0.79271233,0.0033886002,0.11126141,0.0007488808,0.00021761231,0.00084840937,0.0034453755,0.0007295202,0.08664784],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980694,0.00003577256,0.0000127775975,0.000038817714,0.00008833754,0.000017396651],"domain_scores_gemma":[0.9998254,0.000050751274,0.000017143926,0.000023442713,0.000077286364,0.000006008284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021953728,0.0010234343,0.0012762144,0.00051308423,0.000534727,0.0010968179,0.0023236654,0.0016403735,0.0055734995],"category_scores_gemma":[0.0006569662,0.0004326414,0.0010551935,0.00077921414,0.0003145255,0.002170869,0.00043292582,0.0010432076,0.0020843698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060657512,0.00005423373,0.00025196132,0.00023773438,0.000048960268,0.00018431635,0.00008127352,0.93991584,0.01150432,0.015220377,0.0042383727,0.028201822],"study_design_scores_gemma":[0.00000805445,0.00003446926,0.00014270199,0.000019480203,0.00003132314,0.00008575148,0.000013592553,0.9890092,0.001351498,0.004004803,0.0052853343,0.000013754102],"about_ca_topic_score_codex":0.0064378646,"about_ca_topic_score_gemma":0.010878311,"teacher_disagreement_score":0.0064378646,"about_ca_system_score_codex":0.00085330097,"about_ca_system_score_gemma":0.0009303822,"threshold_uncertainty_score":0.018645227},"labels":[],"label_agreement":null},{"id":"W3202666868","doi":"10.1016/j.est.2021.103234","title":"Numerical investigation on thermal behaviour of 5 × 5 cell configured battery pack using phase change material and fin structure layout","year":2021,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":134,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Phase-change material; Battery (electricity); Battery pack; Materials science; Heat generation; Convection; Fin; Dissipation; Thermal; Mechanics; Latent heat; Depth of discharge; Lithium-ion battery; Power (physics); Nuclear engineering; Thermodynamics; Composite material; Engineering; Physics","score_opus":0.03617528950393484,"score_gpt":0.2706158513999028,"score_spread":0.23444056189596796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202666868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9635857,0.00027921624,0.010184166,0.00024594195,0.00008911403,0.000025925303,0.00056506926,0.00019576566,0.024829071],"genre_scores_gemma":[0.99445516,0.000070876165,0.0020124437,0.00002720805,0.000005817443,0.000017437531,0.00014611728,0.000016853375,0.0032480499],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999294,0.000010419013,0.0000030247527,0.0000125664355,0.000024811972,0.000019862266],"domain_scores_gemma":[0.99970007,0.00016273718,0.000032109736,0.000024989375,0.000063607964,0.000016571337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014123254,0.000250546,0.0003929926,0.0002853084,0.00044984344,0.00043251106,0.0005609802,0.0009364911,0.005464043],"category_scores_gemma":[0.0006185312,0.0002874942,0.00041532033,0.00051790813,0.0004651408,0.0005107173,0.00020248708,0.00030027863,0.00031378394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010806109,0.000062089835,0.0026821482,0.00013983437,0.000026495427,0.0003765458,0.00006433715,0.9783544,0.012508319,0.0011224616,0.0007730386,0.0037822279],"study_design_scores_gemma":[0.000016839993,0.000100949714,0.002522955,0.000012882386,0.00001735983,0.00007290799,0.000106571584,0.9922082,0.0041081286,0.00032903903,0.000490538,0.000013597171],"about_ca_topic_score_codex":0.0046110535,"about_ca_topic_score_gemma":0.0054236986,"teacher_disagreement_score":0.005464043,"about_ca_system_score_codex":0.00034388012,"about_ca_system_score_gemma":0.00032677737,"threshold_uncertainty_score":0.018279076},"labels":[],"label_agreement":null},{"id":"W3203221962","doi":"","title":"A new high speed charge and high efficiency li-ion battery charger interface using pulse control technique in TSMC 180 nm CMOS technology","year":2022,"lang":"en","type":"article","venue":"International Journal of Electrical and Computer Engineering (IJECE)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"CMOS; Battery (electricity); Voltage; Electrical engineering; Trickle charging; Materials science; Cadence; Ion; Optoelectronics; Pulse (music); Charge control; Power (physics); Physics; Electronic engineering; Engineering","score_opus":0.005762790207929054,"score_gpt":0.2293025396403451,"score_spread":0.22353974943241606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203221962","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23141477,0.0048576617,0.7069003,0.0007954478,0.0005558801,0.00040385866,0.00072871073,0.012388172,0.04195518],"genre_scores_gemma":[0.8967784,0.0010392789,0.084599294,0.00031615398,0.000104281484,0.0001475772,0.00030038523,0.00014844869,0.016566187],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997719,0.000014885385,0.000012594075,0.000039505983,0.00013489989,0.000026183028],"domain_scores_gemma":[0.99985504,0.0000212745,0.000029514218,0.000013456204,0.000069756396,0.000010925626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014923199,0.0002866097,0.00038121958,0.00032588415,0.00020014147,0.0005641989,0.0011195377,0.00044545194,0.0036348624],"category_scores_gemma":[0.0002299281,0.00017443602,0.00022604458,0.0003437803,0.00014089707,0.00065641606,0.00020509762,0.00035778698,0.00089205103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004537333,0.00009746898,0.0015243589,0.00094228634,0.00008292195,0.00079635787,0.00040615522,0.003971381,0.82663065,0.0065792855,0.0073853172,0.15113012],"study_design_scores_gemma":[0.00016062637,0.0023001086,0.0040539145,0.00006924806,0.00020347277,0.0035686735,0.00012458816,0.07567669,0.8327341,0.0008466797,0.080169305,0.000092535214],"about_ca_topic_score_codex":0.00062161137,"about_ca_topic_score_gemma":0.0008762731,"teacher_disagreement_score":0.0036348624,"about_ca_system_score_codex":0.00035412615,"about_ca_system_score_gemma":0.0003816667,"threshold_uncertainty_score":0.012159824},"labels":[],"label_agreement":null},{"id":"W3203637463","doi":"10.1007/s42461-021-00483-y","title":"Development of Strategies to Reduce Ventilation and Heating Costs in a Swedish Sublevel Caving Mine—a Unique Case of LKAB’s Konsuln Mine","year":2021,"lang":"en","type":"article","venue":"Mining Metallurgy & Exploration","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ventilation (architecture); Upgrade; Environmental science; Waste management; Engineering; Mining engineering; Computer science","score_opus":0.05884147675361371,"score_gpt":0.31400130715845914,"score_spread":0.2551598304048454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203637463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9726185,0.00023058889,0.0043412484,0.00047387078,0.000014716417,0.00010751314,0.000046039684,0.000035243374,0.02213228],"genre_scores_gemma":[0.9906122,0.00013703901,0.005360029,0.000028562265,0.0000020159282,0.000030595795,0.00003175621,0.000007839461,0.0037899963],"study_design_codex":"design_other","study_design_gemma":"case_report","domain_scores_codex":[0.99955636,0.00010999019,0.000020784979,0.000052425043,0.00009789282,0.00016255496],"domain_scores_gemma":[0.9996561,0.000098711105,0.000039152314,0.000039819723,0.000096177406,0.00007004179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004904145,0.0002529947,0.00019908154,0.0006018351,0.0013989953,0.0011846799,0.00054937135,0.0008253119,0.0014256815],"category_scores_gemma":[0.0005201138,0.00011405515,0.00032126313,0.00039472236,0.0005699948,0.00045741597,0.000983349,0.00048304975,0.0001922517],"study_design_candidate":"case_report","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010171351,0.002148212,0.17712292,0.0017652469,0.00027642483,0.050604135,0.014532889,0.11192112,0.101721,0.054239463,0.0063124984,0.4783389],"study_design_scores_gemma":[0.00035533597,0.0040680165,0.28194943,0.0012370549,0.0004990837,0.020496268,0.15872976,0.16241382,0.08983431,0.026455685,0.2536567,0.00030460264],"about_ca_topic_score_codex":0.014703239,"about_ca_topic_score_gemma":0.03439835,"teacher_disagreement_score":0.014703239,"about_ca_system_score_codex":0.0017772085,"about_ca_system_score_gemma":0.0029931362,"threshold_uncertainty_score":0.029235303},"labels":[],"label_agreement":null},{"id":"W3204700411","doi":"10.3390/ma14195676","title":"Cause and Mitigation of Lithium-Ion Battery Failure—A Review","year":2021,"lang":"en","type":"review","venue":"Materials","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":141,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; McGill University","funders":"","keywords":"Failure mode and effects analysis; Battery (electricity); Thermal runaway; Reliability engineering; Reliability (semiconductor); Interrupt; Computer science; Catastrophic failure; Lithium-ion battery; Materials science; Engineering; Microcontroller; Embedded system","score_opus":0.041859825543297445,"score_gpt":0.33086222059391246,"score_spread":0.28900239505061504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204700411","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00066244113,0.99707305,0.00038124528,0.00024887547,0.00023091663,0.000012433736,0.000083959225,0.000018068875,0.0012889461],"genre_scores_gemma":[0.0029378992,0.9957638,0.00035585676,0.00013244529,0.00018051751,0.000013187943,0.000117200565,0.000003349468,0.00049569533],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99975234,0.00002586581,0.00004808148,0.00006375267,0.00009110802,0.000018931936],"domain_scores_gemma":[0.9995065,0.00021420816,0.00009050029,0.000012007265,0.000155451,0.000021241827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046040662,0.0010503624,0.0012460029,0.00291168,0.00035186167,0.0010806003,0.0013259654,0.0010154084,0.0034837818],"category_scores_gemma":[0.0009990833,0.00028933928,0.00093721773,0.002112011,0.00035036675,0.0015228869,0.00051902153,0.0007305685,0.0010128533],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010173808,0.00015576849,0.0018754955,0.06874867,0.0002528784,0.000419218,0.00014838278,0.0013887796,0.0031562345,0.0050244527,0.024782035,0.8939464],"study_design_scores_gemma":[0.00001396769,0.00044099544,0.004791559,0.015642395,0.0009241197,0.0029123083,0.00031913433,0.0008863372,0.0037257588,0.0037438776,0.9665313,0.00006830983],"about_ca_topic_score_codex":0.0018753685,"about_ca_topic_score_gemma":0.0018031227,"teacher_disagreement_score":0.0034837818,"about_ca_system_score_codex":0.0004711387,"about_ca_system_score_gemma":0.0014002284,"threshold_uncertainty_score":0.011654377},"labels":[],"label_agreement":null},{"id":"W3205282503","doi":"10.2139/ssrn.3844751","title":"Large-scale Battery Storage, Short-term Market Outcomes, and Arbitrage","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Arbitrage; Term (time); Scale (ratio); Financial economics; Business; Economics; Econometrics; Monetary economics; Geography; Physics","score_opus":0.007677752722489602,"score_gpt":0.2507896479925894,"score_spread":0.2431118952700998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205282503","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9294857,0.0013613253,0.025162138,0.0054566986,0.00017669953,0.00006183211,0.0004964603,0.00013976163,0.0376594],"genre_scores_gemma":[0.9966903,0.00014895531,0.00018269873,0.000037008776,0.000032344153,0.000010872126,0.00003890982,0.0000068520153,0.0028522066],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995981,0.00010051394,0.000034427107,0.000091170354,0.000073204785,0.00010268219],"domain_scores_gemma":[0.99223,0.004517824,0.0018104225,0.00036161536,0.0004623272,0.0006177559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020594422,0.00031131844,0.0009418295,0.0004132001,0.00067699066,0.0034195648,0.0009086459,0.0021866926,0.018948948],"category_scores_gemma":[0.015027052,0.0002397968,0.00041484172,0.0005586258,0.0015296428,0.0050372533,0.0017004423,0.0020107776,0.0007586205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022365253,0.00071156287,0.03799215,0.000443069,0.00027188376,0.0020119688,0.0007549778,0.090053,0.006537906,0.8062081,0.008924015,0.043854762],"study_design_scores_gemma":[0.0001376471,0.00025310152,0.016984338,0.000036056663,0.000054755063,0.00018929005,0.00043701276,0.10639974,0.0007414165,0.8734203,0.0012808244,0.00006551273],"about_ca_topic_score_codex":0.0010997908,"about_ca_topic_score_gemma":0.0012483168,"teacher_disagreement_score":0.018948948,"about_ca_system_score_codex":0.00082124496,"about_ca_system_score_gemma":0.0007273434,"threshold_uncertainty_score":0.06339055},"labels":[],"label_agreement":null},{"id":"W3206904992","doi":"10.3390/asi4040078","title":"Soft Sensors for State of Charge, State of Energy, and Power Loss in Formula Student Electric Vehicle","year":2021,"lang":"en","type":"article","venue":"Applied System Innovation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mean squared error; State of charge; Autoregressive model; Electric vehicle; Artificial neural network; Parametric statistics; Control theory (sociology); Power (physics); Battery (electricity); Computer science; Engineering; Simulation; Mathematics; Statistics; Artificial intelligence","score_opus":0.010336184670134028,"score_gpt":0.25503286928589297,"score_spread":0.24469668461575894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206904992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5602268,0.0008653149,0.4289429,0.0002546752,0.0001719115,0.000120701,0.000571493,0.002753152,0.006093115],"genre_scores_gemma":[0.98240054,0.00012807625,0.015229797,0.00006333828,0.000009608917,0.000043231656,0.00025484708,0.000022183463,0.0018484105],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967,0.000039198887,0.000026162388,0.00006489015,0.00017937875,0.000020265026],"domain_scores_gemma":[0.99958414,0.00013136827,0.00007180711,0.000050223283,0.0001505141,0.000011947165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003791033,0.00054208183,0.00039200572,0.00053407653,0.00017211177,0.00070835114,0.0005500855,0.00036961676,0.00074560574],"category_scores_gemma":[0.0014070248,0.00015163691,0.00026315602,0.0003503696,0.00019134772,0.00080141745,0.0005349651,0.00044798903,0.00029371987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087456586,0.00039168194,0.035290137,0.00047156602,0.00013814245,0.00033988405,0.000318763,0.22143166,0.11253007,0.002153569,0.0036327736,0.62242717],"study_design_scores_gemma":[0.000009920663,0.00019327695,0.012722171,0.000028768492,0.000027043621,0.00010425405,0.000101438694,0.9058511,0.07804544,0.0011810597,0.0017073238,0.000028259103],"about_ca_topic_score_codex":0.0013547312,"about_ca_topic_score_gemma":0.0022875464,"teacher_disagreement_score":0.0013547312,"about_ca_system_score_codex":0.00034219198,"about_ca_system_score_gemma":0.00019281638,"threshold_uncertainty_score":0.0026937127},"labels":[],"label_agreement":null},{"id":"W3208173517","doi":"10.3390/en14216986","title":"Three-Dimensional Thermal Simulations of 18650 Lithium-Ion Batteries Cooled by Different Schemes under High Rate Discharging and External Shorting Conditions","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Battery (electricity); Thermal runaway; Battery pack; Materials science; Nuclear engineering; Thermal; Coolant; Lithium (medication); Computer cooling; Lithium-ion battery; Ion; Composite material; Mechanical engineering; Thermodynamics; Chemistry; Thermal management of electronic devices and systems; Engineering; Physics","score_opus":0.01304098849145986,"score_gpt":0.25565309618646553,"score_spread":0.24261210769500569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208173517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9769936,0.00017459731,0.010164024,0.00023346173,0.00004530962,0.000040041923,0.0006733258,0.00016568672,0.011509886],"genre_scores_gemma":[0.9953217,0.00009672403,0.002191785,0.00004080703,0.0000058048913,0.0000604114,0.00037316815,0.000028061322,0.0018814631],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992955,0.0000121844905,0.0000041255407,0.000011347526,0.000021516127,0.000021128439],"domain_scores_gemma":[0.9998282,0.00007596641,0.000018180008,0.000014224461,0.000041479932,0.000021811766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014336672,0.00040713197,0.0004983487,0.00026450682,0.00051974336,0.0005596445,0.0006886664,0.00086145126,0.0028727632],"category_scores_gemma":[0.000516273,0.0002621796,0.0007028476,0.00038915433,0.00049029855,0.0005145729,0.00033154085,0.00051217584,0.00018050635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083439685,0.000046422134,0.0026810458,0.00004406878,0.000024893236,0.00014498406,0.00006873898,0.99009645,0.004152727,0.00075467007,0.00032292938,0.0015795687],"study_design_scores_gemma":[0.00001945486,0.00003522736,0.0010676357,0.0000046392897,0.000008775107,0.000017879207,0.00006623397,0.9969181,0.0013077471,0.0001853916,0.000361895,0.0000069781872],"about_ca_topic_score_codex":0.011178664,"about_ca_topic_score_gemma":0.008344845,"teacher_disagreement_score":0.011178664,"about_ca_system_score_codex":0.0004975404,"about_ca_system_score_gemma":0.0006431141,"threshold_uncertainty_score":0.022227228},"labels":[],"label_agreement":null},{"id":"W3209300717","doi":"10.1016/j.est.2021.103478","title":"Modeling degradation of lithium-ion batteries considering cell-to-cell variations","year":2021,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fade; Degradation (telecommunications); Battery (electricity); Lithium (medication); Computer science; Acceleration; Biological system; Range (aeronautics); Lithium-ion battery; Battery pack; Reliability engineering; Simulation; Environmental science; Materials science; Power (physics); Engineering","score_opus":0.020347362858014074,"score_gpt":0.24539757904144688,"score_spread":0.2250502161834328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209300717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83972317,0.002665606,0.12869608,0.00088801555,0.00018149003,0.000097374184,0.00065762154,0.0006309161,0.026459647],"genre_scores_gemma":[0.9935766,0.0003218687,0.001326508,0.000036026602,0.000014084574,0.000020793726,0.00010055194,0.000046759567,0.004556835],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998331,0.000030796535,0.000008716336,0.000037407233,0.00004353748,0.000046465695],"domain_scores_gemma":[0.9994728,0.00027063594,0.00006114748,0.000029340225,0.00014500362,0.000021171783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041051322,0.00086188555,0.00084180007,0.00039289444,0.00043490485,0.0010224277,0.0012107971,0.0016095724,0.0013165929],"category_scores_gemma":[0.0014088242,0.00035745182,0.0008473017,0.0005688659,0.00052184094,0.0009969325,0.00040961296,0.0005888273,0.0002552229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038485017,0.000016756961,0.00054181373,0.000033289718,0.000013105198,0.000071453935,0.000030195455,0.99380493,0.0029213654,0.0005621563,0.00015018816,0.001816247],"study_design_scores_gemma":[0.0000010735757,0.0000066569396,0.00012192513,0.0000014796268,0.0000038569615,0.000005323414,0.0000054475504,0.99926287,0.0004091036,0.0001138461,0.00006676748,0.0000017625581],"about_ca_topic_score_codex":0.025134487,"about_ca_topic_score_gemma":0.012613174,"teacher_disagreement_score":0.025134487,"about_ca_system_score_codex":0.0017778736,"about_ca_system_score_gemma":0.0008383472,"threshold_uncertainty_score":0.04997635},"labels":[],"label_agreement":null},{"id":"W3209964888","doi":"10.5281/zenodo.3982990","title":"Repository: Electrification of light-duty vehicle fleet alone will not meet mitigation targets.","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Electrification; Business; Duty; Automotive engineering; Transport engineering; Environmental science; Environmental economics; Engineering; Electricity; Economics; Political science","score_opus":0.019043406213620332,"score_gpt":0.21792949271656964,"score_spread":0.1988860865029493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209964888","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001430898,0.00008574779,0.0003405668,0.00030966106,0.00019564325,0.000027799206,0.9919098,0.0013506485,0.005636968],"genre_scores_gemma":[0.0021468916,0.00042893263,0.0011034665,0.0001631853,0.000059673766,0.00012849901,0.99007684,0.0008912628,0.005001324],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99601007,0.00028080636,0.0005212282,0.0003251399,0.0025960377,0.00026677214],"domain_scores_gemma":[0.97552,0.0058703255,0.0018311532,0.0027784277,0.013253779,0.0007462296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003056638,0.0017039648,0.0023646397,0.0051049986,0.0007246345,0.00475673,0.0042437282,0.0031858494,0.19731322],"category_scores_gemma":[0.022729697,0.00090607523,0.001209649,0.013315785,0.00040496435,0.00315968,0.0024901396,0.0020719634,0.12912145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012280037,0.00004232001,0.0009399906,0.0014500219,0.00006306927,0.000035216803,0.00001828847,0.0013319994,0.000298417,0.0016746033,0.98390996,0.010113304],"study_design_scores_gemma":[0.00030097258,0.00008042696,0.0051489333,0.0009902823,0.00009872996,0.000060580765,0.0000794892,0.0016360304,0.0026070368,0.004454588,0.98445475,0.00008824131],"about_ca_topic_score_codex":0.024471758,"about_ca_topic_score_gemma":0.030552793,"teacher_disagreement_score":0.19731322,"about_ca_system_score_codex":0.0024815022,"about_ca_system_score_gemma":0.0064732647,"threshold_uncertainty_score":0.66007847},"labels":[],"label_agreement":null},{"id":"W3209995217","doi":"10.1119/10.0005854","title":"Energy conservation strategies for electric vehicles on hills","year":2021,"lang":"en","type":"article","venue":"American Journal of Physics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Physics; Constant (computer programming); Battery (electricity); Energy (signal processing); Conservation of energy; Point (geometry); Mechanics; Expression (computer science); Energy conservation; Electric potential energy; Process (computing); Mechanical energy; Control theory (sociology); Electrical engineering; Computer science; Thermodynamics; Engineering; Mathematics; Geometry; Quantum mechanics","score_opus":0.015221780967869605,"score_gpt":0.26734289530542066,"score_spread":0.2521211143375511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209995217","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26954323,0.0017429086,0.5631625,0.001551055,0.00022590044,0.00020694335,0.00026931646,0.0003276579,0.16297044],"genre_scores_gemma":[0.9538208,0.00048617838,0.018143019,0.00011247342,0.000017546383,0.000067726505,0.000076562304,0.00005689649,0.027218767],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991333,0.000018961568,0.0000032580824,0.000014505017,0.000019648678,0.000030323421],"domain_scores_gemma":[0.99989057,0.00003515999,0.000015534759,0.000010487413,0.000031075106,0.00001716307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018991758,0.00030991537,0.00043169962,0.00034341787,0.00049307314,0.00079341757,0.0009203421,0.00051394984,0.0072916416],"category_scores_gemma":[0.00062841555,0.00024675293,0.0003132447,0.00027803096,0.00051158963,0.0007863805,0.0008960497,0.00031373487,0.00067144615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088797016,0.000108751155,0.00094206934,0.00013192855,0.000029304165,0.00031444343,0.00019839812,0.8099849,0.0038273872,0.13652684,0.005107962,0.042739186],"study_design_scores_gemma":[0.00001731716,0.000057476398,0.00043289847,0.00002572424,0.00000686082,0.00004701325,0.0002696287,0.95669264,0.0005294209,0.036832303,0.005077022,0.000011815258],"about_ca_topic_score_codex":0.0059450134,"about_ca_topic_score_gemma":0.0057550906,"teacher_disagreement_score":0.0072916416,"about_ca_system_score_codex":0.00081161957,"about_ca_system_score_gemma":0.00048082793,"threshold_uncertainty_score":0.024392962},"labels":[],"label_agreement":null},{"id":"W3211675555","doi":"10.4271/14-11-02-0017","title":"Robust Data-Driven Battery State of Charge Estimation for Hybrid Electric Vehicles","year":2021,"lang":"en","type":"article","venue":"SAE International Journal of Electrified Vehicles","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"State of charge; Battery (electricity); State (computer science); Estimation; Charge (physics); Automotive engineering; Electric vehicle; Computer science; Engineering; Physics; Power (physics); Algorithm; Systems engineering","score_opus":0.04147868415873248,"score_gpt":0.2986394477501947,"score_spread":0.2571607635914622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211675555","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0483611,0.0004582086,0.94841194,0.00008698336,0.000066578126,0.000039443526,0.0001921361,0.0008168857,0.0015668081],"genre_scores_gemma":[0.948399,0.00019521499,0.048909005,0.00004856751,0.00004014245,0.00009147579,0.00053079386,0.00004830053,0.0017374434],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984276,0.000027834723,0.000012344352,0.00005089679,0.000051234914,0.00001488465],"domain_scores_gemma":[0.99967706,0.00013385972,0.000049781404,0.00003319197,0.000098446086,0.0000076106217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042829523,0.0006038645,0.0004484849,0.00036246618,0.00016054597,0.0005172367,0.00055383286,0.00034237342,0.00065502647],"category_scores_gemma":[0.001512638,0.00028288233,0.0003816434,0.00032040212,0.00018263025,0.0004888237,0.00042997592,0.0005774111,0.00021692015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009051307,0.000047174584,0.0013541827,0.00008518289,0.000065423446,0.00005571841,0.000030904852,0.88003147,0.005210936,0.0011151427,0.0006528365,0.11126047],"study_design_scores_gemma":[0.0000019379866,0.000010803522,0.00041531643,0.0000036452866,0.000003013188,0.0000059175554,0.0000037870766,0.997654,0.0012312058,0.0004470492,0.00021994977,0.000003408754],"about_ca_topic_score_codex":0.0055329814,"about_ca_topic_score_gemma":0.0044224537,"teacher_disagreement_score":0.0055329814,"about_ca_system_score_codex":0.00044166343,"about_ca_system_score_gemma":0.00037617574,"threshold_uncertainty_score":0.011001527},"labels":[],"label_agreement":null},{"id":"W3211784965","doi":"10.1109/iceccme52200.2021.9591071","title":"Design and Analysis of Multi-Input, Single-Output, Nonisolated DC/DC Converter for Fast Charging of Electric Vehicles","year":2021,"lang":"en","type":"article","venue":"2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Converters; Modular design; Electrical engineering; Power (physics); Electric vehicle; Computer science; Engineering; Electronic engineering; Voltage; Physics","score_opus":0.04666352912579017,"score_gpt":0.2810769691810689,"score_spread":0.23441344005527873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211784965","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036881123,0.0018106987,0.9401069,0.0001937643,0.000117511445,0.00020979728,0.000070791495,0.0005173986,0.02009194],"genre_scores_gemma":[0.9180678,0.0018192619,0.06865134,0.00009056721,0.000052201474,0.00020290283,0.00011673885,0.00007060192,0.010928488],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997217,0.000038495087,0.000011615916,0.000051726165,0.00015283788,0.000023730187],"domain_scores_gemma":[0.99989414,0.000017362298,0.000014157283,0.000012261985,0.000057061687,0.0000049572577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027341678,0.00048166624,0.0005089003,0.00035420616,0.00037724283,0.0012381043,0.0008912868,0.00039170537,0.0024049068],"category_scores_gemma":[0.00025286328,0.0002457134,0.00054288853,0.0003551223,0.00029798003,0.0006277505,0.00024909544,0.0005704625,0.00057749473],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038674235,0.00023696659,0.0019702034,0.00150541,0.00024560522,0.0008284007,0.00040641645,0.36733592,0.34165987,0.063318074,0.003763855,0.21834256],"study_design_scores_gemma":[0.000048019658,0.00038901134,0.0010392624,0.00008064205,0.00007726686,0.00050720584,0.00009179254,0.92948306,0.04872757,0.0060551837,0.013467498,0.00003332715],"about_ca_topic_score_codex":0.0010121762,"about_ca_topic_score_gemma":0.0011949053,"teacher_disagreement_score":0.0024049068,"about_ca_system_score_codex":0.0006535872,"about_ca_system_score_gemma":0.0007064066,"threshold_uncertainty_score":0.0080451965},"labels":[],"label_agreement":null},{"id":"W3211870182","doi":"10.1109/iecon48115.2021.9589396","title":"A Survey on Charging Station Architectures for Electric Transportation","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; École de Technologie Supérieure; Université du Québec à Montréal","funders":"National Council for Scientific Research; Agence Universitaire de la Francophonie","keywords":"Transport engineering; Computer science; Electrical engineering; Telecommunications; Automotive engineering; Engineering","score_opus":0.02381728903364552,"score_gpt":0.2863530850769914,"score_spread":0.2625357960433459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211870182","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01937649,0.62099457,0.16407156,0.001322567,0.001999578,0.0002402304,0.0012903204,0.0012933031,0.1894114],"genre_scores_gemma":[0.1401316,0.72959447,0.064267926,0.0008925636,0.001042355,0.00022042327,0.0032544541,0.0004088918,0.060187295],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99965286,0.000049775546,0.000039299164,0.00007542435,0.00014731588,0.00003529497],"domain_scores_gemma":[0.9997265,0.000093270886,0.000019226218,0.000029179442,0.00012076298,0.000011091671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032961115,0.00074996473,0.00047090853,0.0018142927,0.0003766745,0.0013269263,0.0010165907,0.00087566255,0.014572742],"category_scores_gemma":[0.00081185973,0.00044977697,0.00048410165,0.0038699075,0.00018334611,0.0021752228,0.00057860743,0.0006144491,0.0049579875],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010063551,0.000048415615,0.0006603694,0.0069551202,0.00005426321,0.000194556,0.00015610906,0.0072763087,0.006927479,0.037557133,0.02592937,0.91414016],"study_design_scores_gemma":[0.0000065878203,0.0001226133,0.00054637407,0.0008308117,0.000051128278,0.0008445013,0.00014562756,0.0037505303,0.0041174176,0.0076943478,0.98185927,0.000030721276],"about_ca_topic_score_codex":0.00073640083,"about_ca_topic_score_gemma":0.000819125,"teacher_disagreement_score":0.014572742,"about_ca_system_score_codex":0.0004958605,"about_ca_system_score_gemma":0.0005007297,"threshold_uncertainty_score":0.0487507},"labels":[],"label_agreement":null},{"id":"W3211996251","doi":"10.1109/iecon48115.2021.9589849","title":"Comparative Study and Development of Optimized Energy Efficient Battery Thermal Management System for Electric Vehicles in India","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Battery (electricity); Battery pack; Automotive engineering; Software deployment; Electrification; Computer science; Energy management; Work (physics); Environmental science; Simulation; Engineering; Energy (signal processing); Electricity; Electrical engineering; Mechanical engineering; Power (physics)","score_opus":0.02035173841795939,"score_gpt":0.2656035939610242,"score_spread":0.24525185554306478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211996251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9693806,0.0012876008,0.016484292,0.00017147425,0.00006756429,0.00013454715,0.00031624842,0.00039099838,0.011766584],"genre_scores_gemma":[0.99306047,0.00045939273,0.0035750305,0.000018853787,0.0000054538104,0.000029353181,0.00020233367,0.000019107292,0.002630121],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998234,0.00002529912,0.000017205411,0.000027125538,0.000073617935,0.000033389108],"domain_scores_gemma":[0.9998567,0.000016079734,0.000012786352,0.000014642747,0.000090228255,0.0000096002095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022582464,0.0002708319,0.0003397587,0.00046722425,0.00027627876,0.0007540614,0.0005847742,0.00022528206,0.0012004188],"category_scores_gemma":[0.00027037653,0.00012217832,0.00039493217,0.00039637546,0.00015701694,0.000562564,0.00027536074,0.00013558645,0.00029716553],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025367842,0.000654718,0.030152474,0.0023598492,0.0003099006,0.0011561034,0.00087731815,0.12567925,0.5383118,0.0056438716,0.0069413357,0.2853767],"study_design_scores_gemma":[0.00012492214,0.005341208,0.06129369,0.00009168674,0.0006565921,0.00094149844,0.0016903697,0.18901937,0.6885737,0.000852605,0.051260047,0.0001542484],"about_ca_topic_score_codex":0.0035133425,"about_ca_topic_score_gemma":0.004463383,"teacher_disagreement_score":0.0035133425,"about_ca_system_score_codex":0.000521648,"about_ca_system_score_gemma":0.00044450344,"threshold_uncertainty_score":0.0069857836},"labels":[],"label_agreement":null},{"id":"W3212024723","doi":"10.1109/iecon48115.2021.9589908","title":"Battery Thermal Model Identification And Surface Temperature Prediction","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Office of Naval Research","keywords":"Battery (electricity); Noise (video); Estimation theory; Equivalent circuit; Thermal; Temperature measurement; Least-squares function approximation; Computer science; Control theory (sociology); Power (physics); Thermocouple; Algorithm; Engineering; Mathematics; Electrical engineering; Voltage; Statistics; Artificial intelligence; Physics","score_opus":0.012445404130631296,"score_gpt":0.23864571468464968,"score_spread":0.22620031055401837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212024723","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050402645,0.0001752974,0.9461495,0.00007694481,0.000018545677,0.000024588322,0.00011065383,0.0009464178,0.0020954038],"genre_scores_gemma":[0.9375576,0.00026619778,0.05743901,0.000040417974,0.000013243125,0.00009039424,0.00030749998,0.00009128061,0.004194486],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987733,0.00002507981,0.000006640477,0.00003161629,0.000049306273,0.000009952521],"domain_scores_gemma":[0.99984026,0.000052323237,0.000020381598,0.000023764846,0.000058907248,0.000004339542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014729884,0.00040333348,0.00051173643,0.00024999122,0.00015804588,0.00047108927,0.0005319108,0.00050995813,0.0012586843],"category_scores_gemma":[0.0009520874,0.0002523979,0.0003925618,0.00029899227,0.00017396761,0.00094126083,0.0003275421,0.00043221595,0.00051389425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032413423,0.000019869372,0.0006657586,0.00004684331,0.000016499362,0.000032341166,0.000024239842,0.9479384,0.011478611,0.0011147255,0.00034235054,0.03828797],"study_design_scores_gemma":[0.0000014616411,0.000008940463,0.00020423386,0.0000015959278,0.0000022796494,0.000012244323,0.0000038783137,0.99676526,0.0022503175,0.00049569516,0.0002507445,0.000003374261],"about_ca_topic_score_codex":0.0036470646,"about_ca_topic_score_gemma":0.0031786314,"teacher_disagreement_score":0.0036470646,"about_ca_system_score_codex":0.0002828926,"about_ca_system_score_gemma":0.00041551082,"threshold_uncertainty_score":0.00725168},"labels":[],"label_agreement":null},{"id":"W3212049196","doi":"10.1149/ma2021-0251893mtgabs","title":"Li[Ni<sub>0.5</sub>Mn<sub>0.3</sub>Co<sub>0.2</sub>]O<sub>2</sub> As a Superior Alternative to LiFePO<sub>4</sub> for Long-Lived Low Voltage Li-Ion Cells","year":2021,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Energy storage; Battery (electricity); Voltage; Graphite; Materials science; Depth of discharge; Dielectric spectroscopy; Electrical engineering; Ion; Analytical Chemistry (journal); Electrode; Electrochemistry; Chemistry; Engineering; Physics; Thermodynamics; Composite material","score_opus":0.016286731266196054,"score_gpt":0.26148531118054763,"score_spread":0.24519857991435157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212049196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.961394,0.0055068857,0.01142987,0.00026941777,0.0001408799,0.000029353618,0.00030878474,0.00036717753,0.02055364],"genre_scores_gemma":[0.981652,0.0014931399,0.005186625,0.00006344346,0.000019531293,0.000013299183,0.0002989103,0.000026683387,0.0112463785],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992716,0.0000074733352,0.000004319019,0.00001768059,0.000031044518,0.000012376245],"domain_scores_gemma":[0.9999633,0.0000050130934,0.000006237176,0.000005935576,0.000013447231,0.000006091512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007665632,0.00016387655,0.00018563328,0.00018503898,0.00015088057,0.0005616621,0.00036077193,0.0002955694,0.0017705541],"category_scores_gemma":[0.00017692723,0.00006531728,0.000094800744,0.00043614538,0.00017914135,0.00046477845,0.00025123157,0.0001883966,0.0005443318],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042659455,0.000044960336,0.0013672987,0.00023133899,0.0000077168015,0.00023676362,0.0000323671,0.00080298964,0.9557508,0.0023085545,0.0009682464,0.037822284],"study_design_scores_gemma":[0.000032067728,0.00087669713,0.007500709,0.000035614554,0.000035411616,0.00090618903,0.00010620938,0.009954765,0.9497705,0.00093795895,0.029821046,0.00002273951],"about_ca_topic_score_codex":0.00069816445,"about_ca_topic_score_gemma":0.0020727087,"teacher_disagreement_score":0.0017705541,"about_ca_system_score_codex":0.00021889269,"about_ca_system_score_gemma":0.0001226381,"threshold_uncertainty_score":0.0059230924},"labels":[],"label_agreement":null},{"id":"W3212719442","doi":"10.3390/en14227499","title":"Resiliency Analysis of Hybrid Energy Systems within Interconnected Infrastructures","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ontario Institute of Technology","keywords":"Electricity; Hybrid system; Interconnection; Computer science; Risk analysis (engineering); Environmental economics; Distributed computing; Environmental science; Engineering; Business; Telecommunications","score_opus":0.007045242452068096,"score_gpt":0.22856096382590424,"score_spread":0.22151572137383616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212719442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57750344,0.0009809007,0.38944775,0.00067280885,0.00006316803,0.00020143873,0.00035191717,0.00034321452,0.030435354],"genre_scores_gemma":[0.99643505,0.00015153558,0.0018957519,0.000016798072,0.000006871991,0.000037216938,0.000042551303,0.000013634795,0.001400624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997086,0.0000987225,0.000011506677,0.000055072258,0.000054453387,0.00007151185],"domain_scores_gemma":[0.99957377,0.00019390493,0.000089876594,0.000028435512,0.000081830134,0.000032196098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006058609,0.00070129003,0.00043666622,0.00093990896,0.00059564604,0.001309494,0.00052149384,0.0006242168,0.002038042],"category_scores_gemma":[0.001271152,0.00026482347,0.0008716435,0.0003992681,0.0010747854,0.000997866,0.0010028052,0.0005759312,0.00012973211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004527881,0.000015343801,0.0014953099,0.00003334549,0.000046660858,0.00015765306,0.00007347969,0.9759429,0.0024816198,0.016986633,0.00019453876,0.0025272453],"study_design_scores_gemma":[0.0000029510804,0.000030328283,0.0005592399,0.0000073094993,0.000011044985,0.000019614361,0.000063860796,0.99291575,0.00029442945,0.005872808,0.00021668126,0.000005960431],"about_ca_topic_score_codex":0.006184643,"about_ca_topic_score_gemma":0.0021951757,"teacher_disagreement_score":0.006184643,"about_ca_system_score_codex":0.0013080419,"about_ca_system_score_gemma":0.00054913753,"threshold_uncertainty_score":0.012297273},"labels":[],"label_agreement":null},{"id":"W3213334766","doi":"10.1016/j.enconman.2021.114936","title":"Comparative assessment among several channel designs with constant volume for cooling of pouch-type battery module","year":2021,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":126,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Science and Engineering Research Board; University of Waterloo","keywords":"Pressure drop; Volumetric flow rate; Materials science; Computer cooling; Mass flow rate; Coolant; Laminar flow; Mechanics; Mechanical engineering; Nuclear engineering; Engineering; Physics; Thermal management of electronic devices and systems","score_opus":0.026183141023710516,"score_gpt":0.2634214838365999,"score_spread":0.23723834281288939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213334766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97199845,0.0017131774,0.02048826,0.000074707576,0.000116580406,0.00006524823,0.0003459009,0.00024481118,0.0049529145],"genre_scores_gemma":[0.99402255,0.0003965734,0.0034835497,0.000016017222,0.000016101241,0.000050819297,0.00010925281,0.000050414972,0.0018547269],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997174,0.000042640975,0.000014995922,0.00006528739,0.00008701786,0.000072609066],"domain_scores_gemma":[0.99934703,0.00017724719,0.00006563328,0.000059305523,0.0003162682,0.000034465105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041941373,0.00028996725,0.00043244308,0.00048356596,0.0003923465,0.0005180064,0.00087675866,0.0004349793,0.0025178408],"category_scores_gemma":[0.0009299638,0.00017165467,0.00043799088,0.0004349801,0.0002463695,0.00090331986,0.00024317998,0.00018168901,0.00032948423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0074228053,0.0004650851,0.016874058,0.002377903,0.00024413923,0.00037652746,0.00064104446,0.04470085,0.7742694,0.004110672,0.0050794287,0.14343819],"study_design_scores_gemma":[0.00025754102,0.00874462,0.042113338,0.0001171373,0.00079700164,0.0006748231,0.00059087883,0.06627549,0.85448956,0.0007896611,0.025000071,0.00014992336],"about_ca_topic_score_codex":0.000771032,"about_ca_topic_score_gemma":0.0019362356,"teacher_disagreement_score":0.0025178408,"about_ca_system_score_codex":0.00045759176,"about_ca_system_score_gemma":0.00046985399,"threshold_uncertainty_score":0.00842303},"labels":[],"label_agreement":null},{"id":"W3214959027","doi":"10.3390/en14237925","title":"Design and Implementation of an Electric Skibus Line in North Italy","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Electrification; Work (physics); Context (archaeology); Line (geometry); Service (business); Transport engineering; Plan (archaeology); Automotive engineering; Electric energy; Diesel fuel; Public transport; Environmental economics; Environmental science; Engineering; Business; Electricity; Electrical engineering; Geography; Economics; Mechanical engineering; Marketing","score_opus":0.014362792855333421,"score_gpt":0.28545923998579237,"score_spread":0.27109644713045894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214959027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82286793,0.00015586527,0.109880224,0.00037877265,0.00010819632,0.0014086379,0.0004315328,0.002546013,0.062222917],"genre_scores_gemma":[0.95896274,0.000084703075,0.023552863,0.000039591323,0.000008205598,0.00064678414,0.0002318715,0.000076333934,0.016396876],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995435,0.00015067859,0.000019708246,0.00010428077,0.00009349603,0.00008831611],"domain_scores_gemma":[0.9997613,0.000023671566,0.000030532483,0.000037634763,0.00007686868,0.00006998405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004357786,0.0004991376,0.0002914987,0.00037566214,0.00047189713,0.00085210544,0.0007550461,0.0005829964,0.0069284574],"category_scores_gemma":[0.00043296028,0.00022549824,0.00028497865,0.0001987684,0.00032759336,0.00038994144,0.00050120533,0.000247877,0.0024243272],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035208943,0.0030139065,0.051281165,0.0017962084,0.0001797516,0.0054521007,0.0053509725,0.3141553,0.29999343,0.01362506,0.012161123,0.28947005],"study_design_scores_gemma":[0.0015463141,0.015089366,0.102923796,0.00030076806,0.00040272053,0.0012066468,0.0077692964,0.5168035,0.094481975,0.0027314494,0.2565258,0.00021841229],"about_ca_topic_score_codex":0.00419332,"about_ca_topic_score_gemma":0.004448048,"teacher_disagreement_score":0.0069284574,"about_ca_system_score_codex":0.00088548,"about_ca_system_score_gemma":0.0011578166,"threshold_uncertainty_score":0.023177981},"labels":[],"label_agreement":null},{"id":"W3215375264","doi":"10.1016/j.est.2021.103632","title":"Thermal field investigation of lithium-ion battery with porous medium under vibration","year":2021,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Battery (electricity); Vibration; Porosity; Ion; Lithium (medication); Lithium-ion battery; Materials science; Field (mathematics); Thermal; Lithium metal; Nuclear engineering; Composite material; Physics; Acoustics; Chemistry; Engineering; Thermodynamics; Medicine; Mathematics; Power (physics); Organic chemistry","score_opus":0.013124207230655474,"score_gpt":0.2280594062100363,"score_spread":0.21493519897938082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215375264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971693,0.00027133126,0.0011708841,0.000059794183,0.00001372334,0.000004880275,0.000038617953,0.0000175083,0.0012539604],"genre_scores_gemma":[0.9995096,0.00004529145,0.000108709275,0.0000040709892,0.0000028167342,0.0000014632074,0.000014091679,0.0000012766703,0.00031266158],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999422,0.0000057326383,0.0000018959156,0.000009669349,0.000027587792,0.000013009633],"domain_scores_gemma":[0.99988246,0.00004631632,0.000018086535,0.0000068672125,0.00003673348,0.00000955353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000095736825,0.000098840355,0.00012618041,0.00015270934,0.00019214724,0.00015337348,0.00020944171,0.0001943041,0.0015317525],"category_scores_gemma":[0.00019829799,0.00008490718,0.00014196894,0.00016975404,0.0003060802,0.000367623,0.00011646657,0.00018406937,0.00007690225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046296333,0.00003355682,0.0023348883,0.00009078149,0.00000941499,0.00027562535,0.00009980204,0.0013976069,0.9908983,0.0003835499,0.00016073712,0.003852761],"study_design_scores_gemma":[0.00004328815,0.0007339301,0.039065175,0.00001936937,0.000037872174,0.00069286796,0.00066217885,0.043210343,0.9134036,0.00048244398,0.001616405,0.000032447897],"about_ca_topic_score_codex":0.0006493358,"about_ca_topic_score_gemma":0.0005965553,"teacher_disagreement_score":0.0015317525,"about_ca_system_score_codex":0.00014386329,"about_ca_system_score_gemma":0.00009425261,"threshold_uncertainty_score":0.0051242113},"labels":[],"label_agreement":null},{"id":"W3215417243","doi":"10.3390/vehicles3040048","title":"Design of Fast Charging Station with Energy Management for eBuses","year":2021,"lang":"en","type":"article","venue":"Vehicles","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Energy storage; Renewable energy; Energy management; Automotive engineering; Computer science; Hybrid power; Controller (irrigation); Power (physics); Electrical engineering; Energy (signal processing); Engineering","score_opus":0.023015095545730405,"score_gpt":0.24842045388586315,"score_spread":0.22540535834013276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215417243","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057936884,0.00067953963,0.91044104,0.00045964893,0.00028303906,0.00053802785,0.00022641657,0.0020123306,0.02742311],"genre_scores_gemma":[0.9086717,0.00039398682,0.07562693,0.00016142563,0.00007974323,0.00047473353,0.00018260338,0.000050028124,0.014358857],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962544,0.0000473008,0.000029414698,0.000107133324,0.00013588797,0.000054846558],"domain_scores_gemma":[0.9998223,0.00001681807,0.000026843256,0.000016256667,0.000098875826,0.000018949682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028100848,0.00073075545,0.00067204144,0.0005562858,0.0009392,0.0010202271,0.0017395357,0.0009427431,0.004713712],"category_scores_gemma":[0.00024837095,0.00028514306,0.00049951836,0.00038633053,0.00029135172,0.00075339735,0.00069852755,0.0003989947,0.0012395633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009154269,0.0002820992,0.0048577082,0.001264776,0.00021769655,0.0016506496,0.0006128619,0.42039263,0.19500363,0.03697268,0.011625197,0.3262046],"study_design_scores_gemma":[0.00013807714,0.00097287964,0.0019894254,0.00008453786,0.000108797605,0.00082118047,0.00022830904,0.8636966,0.0674083,0.0046132565,0.059851754,0.0000869198],"about_ca_topic_score_codex":0.002260073,"about_ca_topic_score_gemma":0.002099761,"teacher_disagreement_score":0.004713712,"about_ca_system_score_codex":0.0007426915,"about_ca_system_score_gemma":0.0010212536,"threshold_uncertainty_score":0.015768945},"labels":[],"label_agreement":null},{"id":"W3215680925","doi":"10.1109/epec52095.2021.9621657","title":"Performance Evaluation and Enhancement of an Electric Vehicle DC Fast Charging Station in a Weak Distribution Feeder","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Electric vehicle; Electrical engineering; Charging station; Automotive engineering; Distribution (mathematics); Computer science; Engineering; Power (physics); Physics; Mathematics","score_opus":0.015629755341469757,"score_gpt":0.28593237058278076,"score_spread":0.270302615241311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215680925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860886,0.000047928716,0.0115857,0.00004005965,0.000008464545,0.000032399435,0.00006510726,0.00023956728,0.0018921922],"genre_scores_gemma":[0.99852955,0.00002076751,0.0010158774,0.0000031464722,9.641486e-7,0.0000036501144,0.000023802077,0.0000036704128,0.00039859742],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982136,0.000046867553,0.000008459092,0.000025920319,0.00006344004,0.000033963748],"domain_scores_gemma":[0.99971896,0.00007458299,0.00004039868,0.000028899129,0.000108041575,0.000029035267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033069358,0.00043697038,0.00031535813,0.00033125305,0.00026464023,0.00043615806,0.00048399784,0.00032016885,0.0013548107],"category_scores_gemma":[0.00062028307,0.00009567431,0.00015394416,0.00033362146,0.00024028635,0.00044756217,0.00024510644,0.00020236566,0.00021216719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031830359,0.0004676431,0.029724931,0.0006559277,0.00012064418,0.0012826516,0.0003576859,0.48021457,0.35749966,0.0015768235,0.0011985081,0.123717815],"study_design_scores_gemma":[0.00015135588,0.0065236846,0.023492686,0.000021401378,0.0001732268,0.00045392106,0.00043223312,0.7556657,0.20923363,0.0004007615,0.0034158758,0.000035523008],"about_ca_topic_score_codex":0.00324079,"about_ca_topic_score_gemma":0.002869305,"teacher_disagreement_score":0.00324079,"about_ca_system_score_codex":0.0005512754,"about_ca_system_score_gemma":0.00031056904,"threshold_uncertainty_score":0.006443858},"labels":[],"label_agreement":null},{"id":"W3215884909","doi":"10.1109/ecce47101.2021.9595829","title":"Load Management Strategy for DC Fast Charging Stations","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Opal-Rt Technologies (Canada); McGill University","funders":"","keywords":"Voltage; Computer science; Energy management; Grid; Electrical engineering; Load balancing (electrical power); Electric vehicle; Load management; Base station; Charging station; Scheduling (production processes); Automotive engineering; Power (physics); Energy (signal processing); Engineering; Telecommunications; Physics","score_opus":0.033825196897268546,"score_gpt":0.30718000941826107,"score_spread":0.27335481252099253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215884909","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27193475,0.00019443188,0.6905748,0.00034184573,0.00011129681,0.00036059585,0.00021832605,0.005105224,0.031158673],"genre_scores_gemma":[0.98415667,0.000027775455,0.012570093,0.0000358839,0.00001551554,0.000032697782,0.00006754823,0.000042729895,0.003050994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997285,0.000039414634,0.000016101103,0.00007165794,0.00009005878,0.000054189695],"domain_scores_gemma":[0.9997782,0.000028953036,0.000029762967,0.000049100516,0.000093191695,0.000020758647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022568366,0.00043275463,0.00039666443,0.00042876907,0.0006590953,0.0011898738,0.0011500831,0.00035065765,0.0037885625],"category_scores_gemma":[0.00033082764,0.00014889555,0.00024038008,0.0003969341,0.00024050914,0.00055593095,0.0004356663,0.00039068487,0.0008917851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007202565,0.00054782286,0.004567734,0.00013355304,0.000060528197,0.00034911287,0.00023632772,0.5269857,0.080402285,0.01170745,0.008500297,0.36578894],"study_design_scores_gemma":[0.00005083505,0.000112418566,0.0012745843,0.0000049007576,0.000019637499,0.000060263945,0.000058937025,0.9772314,0.015177339,0.002144748,0.0038477557,0.000017188333],"about_ca_topic_score_codex":0.005170512,"about_ca_topic_score_gemma":0.004851159,"teacher_disagreement_score":0.005170512,"about_ca_system_score_codex":0.0007799014,"about_ca_system_score_gemma":0.0006282685,"threshold_uncertainty_score":0.012673974},"labels":[],"label_agreement":null},{"id":"W3215971329","doi":"10.4018/978-1-7998-6858-3.ch004","title":"Integrated Battery Chargers","year":2021,"lang":"en","type":"book-chapter","venue":"Advances in mechatronics and mechanical engineering (AMME) book series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Galvanic isolation; Battery (electricity); Computer science; Control reconfiguration; Isolation (microbiology); Electrical engineering; Automotive engineering; Power (physics); Engineering; Control engineering; Embedded system; Voltage","score_opus":0.007523338381887095,"score_gpt":0.21485562212526566,"score_spread":0.20733228374337856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215971329","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005715605,0.058664463,0.097510844,0.00082591147,0.00386972,0.00022652237,0.0009298007,0.0030912282,0.82916594],"genre_scores_gemma":[0.023409668,0.03210379,0.022629937,0.0007023602,0.000364153,0.000094818846,0.00089448923,0.00037352173,0.91942716],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99974996,0.000008909337,0.0000080779155,0.00005416554,0.00015780827,0.000021041204],"domain_scores_gemma":[0.99989355,0.000013257144,0.000005193226,0.000011695529,0.00006832167,0.000007976661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010056995,0.0007421595,0.00048191287,0.0009417344,0.0004233396,0.0021902954,0.0011563336,0.00093958713,0.04224785],"category_scores_gemma":[0.00027925218,0.00033736505,0.0004178892,0.0013615465,0.00024159254,0.0021905173,0.00077237404,0.0012066162,0.025554042],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007402296,0.00010403887,0.000110267705,0.0013461148,0.000031426083,0.00022041838,0.00025438835,0.0017825251,0.039442036,0.08547968,0.18870038,0.6824547],"study_design_scores_gemma":[0.0000071249456,0.000045666,0.000097329226,0.000119234566,0.000012737519,0.00038747434,0.00002647294,0.0009989283,0.007915368,0.0037444776,0.9866332,0.000011984979],"about_ca_topic_score_codex":0.00047002823,"about_ca_topic_score_gemma":0.0009929693,"teacher_disagreement_score":0.04224785,"about_ca_system_score_codex":0.0006066597,"about_ca_system_score_gemma":0.00036162298,"threshold_uncertainty_score":0.14133316},"labels":[],"label_agreement":null},{"id":"W3216204793","doi":"10.1002/aenm.202102233","title":"A Review of Lithium‐Ion Battery Electrode Drying: Mechanisms and Metrology","year":2021,"lang":"en","type":"review","venue":"Advanced Energy Materials","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":215,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast","keywords":"Materials science; Metrology; Electrode; Battery (electricity); Process engineering; Process (computing); Lithium-ion battery; Lithium (medication); Nanotechnology; Computer science; Mechanical engineering; Engineering; Chemistry","score_opus":0.02226398400796963,"score_gpt":0.3058155737551457,"score_spread":0.28355158974717604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216204793","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00024245243,0.9980166,0.00038172284,0.00013789316,0.00022311175,0.0000056441,0.000027298225,0.000011251447,0.000953986],"genre_scores_gemma":[0.0010829279,0.99764687,0.000416552,0.00008940391,0.00014597217,0.0000073687283,0.000038041147,0.0000023450477,0.0005705411],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99966776,0.000042549247,0.000055376306,0.000073720286,0.00013538523,0.000025130188],"domain_scores_gemma":[0.99936455,0.0002876985,0.000099822886,0.000023811215,0.00019404377,0.00003008995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007910361,0.0012963347,0.0014636039,0.0035673736,0.00038472514,0.0010655031,0.0010577827,0.0011027493,0.0033723502],"category_scores_gemma":[0.0009430121,0.000591493,0.0006441505,0.0042621833,0.0004576227,0.0020343668,0.00064684625,0.0012217596,0.0019107423],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069041955,0.00014069602,0.00027193784,0.05874449,0.000119894394,0.00022896666,0.00012220128,0.0012501274,0.008311898,0.009605274,0.028032254,0.8931031],"study_design_scores_gemma":[0.000006442883,0.00017189946,0.00073956663,0.0040656193,0.00012370395,0.0006698674,0.00006484526,0.0003033432,0.0025738094,0.0020736665,0.9891713,0.000035854457],"about_ca_topic_score_codex":0.001051098,"about_ca_topic_score_gemma":0.0012761318,"teacher_disagreement_score":0.0035673736,"about_ca_system_score_codex":0.0005963507,"about_ca_system_score_gemma":0.0012497207,"threshold_uncertainty_score":0.01128161},"labels":[],"label_agreement":null},{"id":"W3216241475","doi":"10.3390/electrochem2040040","title":"Coupled Electrochemical-Thermal Simulations and Validation of Minichannel Cold-Plate Water-Cooled Prismatic 20 Ah LiFePO4 Battery","year":2021,"lang":"en","type":"article","venue":"Electrochem","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Coolant; Materials science; Electrochemistry; Thermal; Voltage; Heat generation; Thermal analysis; Nuclear engineering; Thermodynamics; Electrode; Electrical engineering; Chemistry; Power (physics); Engineering","score_opus":0.009681504567022704,"score_gpt":0.2368247387028825,"score_spread":0.2271432341358598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216241475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856228,0.00014495218,0.010343767,0.00006619265,0.00002213688,0.000037151294,0.0004771863,0.00008225476,0.0032036009],"genre_scores_gemma":[0.99598867,0.000093259514,0.0026701228,0.000017674347,0.0000030760368,0.00005578731,0.00020945007,0.0000121657295,0.0009497211],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986446,0.000017418935,0.000007922966,0.00002536089,0.000054017495,0.0000308641],"domain_scores_gemma":[0.99971884,0.000129627,0.000022558579,0.00002804827,0.00008366866,0.000017323964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003359338,0.00045669926,0.00074612175,0.00023298897,0.00037925655,0.0005332454,0.00095995265,0.0006953302,0.0017092174],"category_scores_gemma":[0.00065924856,0.00028646682,0.00061573973,0.0003874244,0.00042212062,0.0005451797,0.00038601834,0.0005216321,0.00019717768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020899092,0.000059870566,0.0019100249,0.000149448,0.000031165775,0.00015254856,0.000077531855,0.9556677,0.03789555,0.000800495,0.00017954552,0.0028671243],"study_design_scores_gemma":[0.000025904274,0.00016521307,0.0009193274,0.000005590248,0.00001100074,0.000022452641,0.000050160263,0.975572,0.022705747,0.00022486981,0.00028456043,0.000013232614],"about_ca_topic_score_codex":0.006093896,"about_ca_topic_score_gemma":0.0040630596,"teacher_disagreement_score":0.006093896,"about_ca_system_score_codex":0.00058178185,"about_ca_system_score_gemma":0.0007913094,"threshold_uncertainty_score":0.012116849},"labels":[],"label_agreement":null},{"id":"W3216334309","doi":"10.11591/ijece.v12i2.pp1168-1179","title":"A new high speed charge and high efficiency Li-Ion battery charger interface using pulse control technique","year":2022,"lang":"en","type":"article","venue":"International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Battery (electricity); Electrical engineering; CMOS; Voltage; Cadence; Materials science; Optoelectronics; Pulse (music); Battery charger; Interface (matter); Computer science; Physics; Power (physics); Engineering; Acoustics; Composite material","score_opus":0.004669449269440776,"score_gpt":0.22765841913980076,"score_spread":0.22298896987036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216334309","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10016385,0.0028690894,0.86362785,0.00040806498,0.00043101772,0.0002975811,0.00040626366,0.008289434,0.02350692],"genre_scores_gemma":[0.8448525,0.0012080768,0.12572064,0.00042365148,0.00018756742,0.00022179876,0.00041698705,0.00019377243,0.026774958],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971086,0.000016222131,0.000014075509,0.000053655986,0.00018193162,0.000023155102],"domain_scores_gemma":[0.99978703,0.000029124798,0.000029530793,0.00002153231,0.000117529984,0.000015198831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001737102,0.00035294818,0.00044662473,0.0004116444,0.00022747304,0.0006055145,0.0014149185,0.00051458564,0.00462675],"category_scores_gemma":[0.00025261604,0.00017731737,0.00020165993,0.00044441826,0.00016053066,0.00088433956,0.00027230696,0.00038257774,0.0011676797],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004988733,0.0001602421,0.0018416378,0.0009266698,0.00008218452,0.0006698726,0.00025639823,0.0025386042,0.67861533,0.0049877297,0.008358924,0.30106348],"study_design_scores_gemma":[0.0001699567,0.0023962972,0.0067402674,0.00006668249,0.00023514559,0.0054958863,0.0001207328,0.114908256,0.7638999,0.0010479415,0.10480404,0.00011496599],"about_ca_topic_score_codex":0.0003771238,"about_ca_topic_score_gemma":0.0005293952,"teacher_disagreement_score":0.00462675,"about_ca_system_score_codex":0.00027269433,"about_ca_system_score_gemma":0.00027525207,"threshold_uncertainty_score":0.015478015},"labels":[],"label_agreement":null},{"id":"W3216748084","doi":"10.1109/tte.2021.3131917","title":"Electrified Automotive Propulsion Systems: State-of-the-Art Review","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Electrification; Propulsion; Automotive industry; Automotive engineering; Electrically powered spacecraft propulsion; Process (computing); Engineering; Carbon footprint; Electricity; Computer science; Greenhouse gas; Electrical engineering; Aerospace engineering","score_opus":0.012818802857747814,"score_gpt":0.2482183350639411,"score_spread":0.23539953220619328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216748084","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00068197533,0.9940771,0.0009223633,0.00018655125,0.00025143565,0.000008104151,0.000029934003,0.000014349867,0.0038282431],"genre_scores_gemma":[0.0051008053,0.99327713,0.0005554088,0.00010228423,0.00022709009,0.0000071471,0.000059979462,0.0000043133923,0.0006658544],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996915,0.00004089506,0.000048208578,0.00006832865,0.00011727983,0.00003374423],"domain_scores_gemma":[0.9990433,0.0005701212,0.00009263124,0.000027805252,0.0002400766,0.000025974403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006143258,0.0009588365,0.00094062876,0.0020807388,0.00034005925,0.0016146862,0.0010834985,0.0009866487,0.004557347],"category_scores_gemma":[0.0012723834,0.00042762433,0.000691941,0.0035829945,0.00042331257,0.0024592574,0.0007251771,0.00080521614,0.0015200502],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007284909,0.000097828844,0.00069827924,0.033047117,0.000121271485,0.00025137071,0.00014182251,0.0027635426,0.001726291,0.012718825,0.01921355,0.92914724],"study_design_scores_gemma":[0.00000697443,0.00016489532,0.0014487046,0.009394346,0.00031844722,0.0013259805,0.00026747084,0.001314242,0.0018456166,0.0046608057,0.9792113,0.000041168867],"about_ca_topic_score_codex":0.0012590387,"about_ca_topic_score_gemma":0.0009810565,"teacher_disagreement_score":0.004557347,"about_ca_system_score_codex":0.00049323746,"about_ca_system_score_gemma":0.0012077389,"threshold_uncertainty_score":0.015245855},"labels":[],"label_agreement":null},{"id":"W3216933975","doi":"10.7939/r3-vezg-j078","title":"Optimal Real-Time Battery Scheduling with Reinforcement Learning and Neural Networks","year":2021,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Reinforcement learning; Computer science; Scheduling (production processes); Artificial neural network; Artificial intelligence; Reinforcement; Engineering; Operations management","score_opus":0.005323941675393679,"score_gpt":0.1800138166275726,"score_spread":0.17468987495217891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216933975","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053690244,0.0013508485,0.93650234,0.00054419396,0.00015815906,0.00008655085,0.00007239157,0.0006453981,0.006949926],"genre_scores_gemma":[0.94563764,0.00027668104,0.050560728,0.00014578273,0.00007052498,0.00013329675,0.000071555754,0.000051268584,0.0030524968],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996049,0.0001145222,0.00002220072,0.00010403744,0.00007057379,0.00008389914],"domain_scores_gemma":[0.99831736,0.0011283959,0.00021599873,0.0000525239,0.00020978905,0.00007598534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000868794,0.0010628813,0.0011692679,0.0003799791,0.000366686,0.00087989337,0.0010410849,0.0010918794,0.0021400535],"category_scores_gemma":[0.0030819643,0.00055555196,0.00051930064,0.00035372665,0.0008386153,0.0007014755,0.0008998459,0.0015920323,0.00026766138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003328803,0.00002617194,0.00019311464,0.000021702286,0.000013749212,0.000021732338,0.000012616457,0.98919415,0.00033750993,0.0013614285,0.00022451523,0.008559984],"study_design_scores_gemma":[0.000003377687,0.0000071331006,0.000020554253,0.0000014525021,0.0000014303705,0.0000015476617,0.0000010745754,0.99945253,0.00005221314,0.00041499062,0.000042384097,0.0000012881495],"about_ca_topic_score_codex":0.01195578,"about_ca_topic_score_gemma":0.0087297065,"teacher_disagreement_score":0.01195578,"about_ca_system_score_codex":0.001085225,"about_ca_system_score_gemma":0.0011635326,"threshold_uncertainty_score":0.023772359},"labels":[],"label_agreement":null},{"id":"W3216943898","doi":"10.1109/ecce47101.2021.9595271","title":"Distributed Control Design for V2G in DC Fast Charging Stations","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Voltage droop; State of charge; Controller (irrigation); Engineering; System on a chip; Overcharge; Automotive engineering; Battery (electricity); Sigmoid function; Electrical engineering; Control theory (sociology); Computer science; Power (physics); Voltage; Embedded system; Control (management); Voltage source","score_opus":0.028748842152039742,"score_gpt":0.285332677317096,"score_spread":0.25658383516505623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216943898","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016284475,0.00022660736,0.97779727,0.00011979054,0.00011712535,0.0000646362,0.000023930843,0.00028080196,0.005085455],"genre_scores_gemma":[0.9780417,0.0001411039,0.019208677,0.000060270904,0.00003749672,0.00007717432,0.00003270697,0.00001833729,0.0023825152],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996383,0.000049296556,0.000019579682,0.00011722898,0.00011382155,0.000061779625],"domain_scores_gemma":[0.9997342,0.000055438486,0.000041520598,0.000017685574,0.00013609004,0.0000150523265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050957355,0.00062334194,0.00040326812,0.00025976135,0.0004423519,0.0010552588,0.0008371849,0.00045396184,0.0019442405],"category_scores_gemma":[0.0006660215,0.00020077277,0.00031437623,0.00024043968,0.0004136786,0.00041703184,0.0005376345,0.0005985501,0.00028812367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022778234,0.000098007404,0.00077989383,0.00023823376,0.00005653709,0.00016195235,0.00016634061,0.84935236,0.01979316,0.012397334,0.0015889272,0.11513958],"study_design_scores_gemma":[0.00002522902,0.00013556956,0.00020129593,0.000008874057,0.000012232857,0.000022446238,0.000021967317,0.99377596,0.002723369,0.0014726172,0.0015941461,0.0000062556824],"about_ca_topic_score_codex":0.003432185,"about_ca_topic_score_gemma":0.0029593785,"teacher_disagreement_score":0.003432185,"about_ca_system_score_codex":0.00056705484,"about_ca_system_score_gemma":0.0007348127,"threshold_uncertainty_score":0.006824434},"labels":[],"label_agreement":null},{"id":"W3217096404","doi":"10.1109/epec52095.2021.9621705","title":"DFACTS-Based Mitigation of Power System Voltage Unbalance for Wide Adoption of EV Fast Charging Systems","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Voltage; Electric power system; Voltage regulation; Voltage optimisation; Power (physics); Computer science; Voltage regulator; AC power; Engineering; Electronic engineering; Control theory (sociology); Electrical engineering; Physics","score_opus":0.011732854685230361,"score_gpt":0.24671360928564265,"score_spread":0.2349807546004123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217096404","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21027239,0.0005196169,0.7773607,0.00016560979,0.0000762349,0.00009757821,0.000058102632,0.00067190087,0.0107778525],"genre_scores_gemma":[0.98390216,0.000092116374,0.015288749,0.000014800679,0.000007460384,0.000015351952,0.000019510086,0.000008465696,0.0006512775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998517,0.000045366964,0.00000834351,0.000020516743,0.000053437052,0.000020635267],"domain_scores_gemma":[0.99983263,0.000044040753,0.000039551207,0.000017991362,0.000053968197,0.000011686945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027660004,0.00047471828,0.00024843775,0.00031637264,0.00025584124,0.0004653721,0.00041790196,0.00023570395,0.0010623109],"category_scores_gemma":[0.00042130632,0.00010093013,0.00023482708,0.00023110815,0.00023186211,0.0005971916,0.00039667502,0.00031644263,0.00014941352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051445124,0.00012346063,0.0027701634,0.0002896853,0.0000823052,0.0003650337,0.00016700431,0.6885462,0.09018706,0.0146205705,0.0009824998,0.20135157],"study_design_scores_gemma":[0.00004208804,0.00036508706,0.001580775,0.000023096589,0.000040361032,0.0001252338,0.000089540765,0.96121895,0.029496308,0.0031285721,0.0038750013,0.00001493676],"about_ca_topic_score_codex":0.0011828318,"about_ca_topic_score_gemma":0.0021856544,"teacher_disagreement_score":0.0011828318,"about_ca_system_score_codex":0.00026792922,"about_ca_system_score_gemma":0.00031326473,"threshold_uncertainty_score":0.0035537481},"labels":[],"label_agreement":null},{"id":"W3217131346","doi":"10.4018/978-1-7998-6858-3.ch006","title":"Impact of Electric Vehicle Charging Infrastructure on the Distribution Network Power Quality","year":2021,"lang":"en","type":"book-chapter","venue":"Advances in mechatronics and mechanical engineering (AMME) book series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); Automotive engineering; Electric vehicle; Converters; Power (physics); Electrical engineering; Grid; Computer science; Engineering; Voltage","score_opus":0.00649590582169712,"score_gpt":0.24619801719488418,"score_spread":0.23970211137318706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217131346","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14280531,0.03973608,0.10084429,0.0025771311,0.0009079551,0.000076424316,0.00082954013,0.0011055093,0.71111774],"genre_scores_gemma":[0.8897361,0.029351534,0.0070090652,0.00016446057,0.00026122254,0.000019383117,0.0005995363,0.00014376239,0.07271498],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981016,0.000035210214,0.000004507715,0.000024464458,0.0001022745,0.00002342298],"domain_scores_gemma":[0.999793,0.00007712284,0.000016446478,0.000015983433,0.00008814898,0.000009313368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021090457,0.00030778415,0.00018361467,0.0003260722,0.00020633746,0.0017821091,0.00030408084,0.00022446258,0.01169581],"category_scores_gemma":[0.0006739348,0.00010342984,0.00015558278,0.0009231851,0.00018084246,0.0010441332,0.00039906907,0.0004316982,0.0012778954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013984002,0.00006296277,0.0036483118,0.0004440573,0.000026384592,0.00034149134,0.00013194385,0.07200356,0.009088602,0.06921057,0.016944584,0.82795775],"study_design_scores_gemma":[0.00006488451,0.0006690686,0.04275491,0.0010930024,0.00023886995,0.0022413023,0.0015928058,0.20780718,0.030437453,0.09326807,0.6197397,0.00009278195],"about_ca_topic_score_codex":0.003378434,"about_ca_topic_score_gemma":0.0032725793,"teacher_disagreement_score":0.01169581,"about_ca_system_score_codex":0.0011477754,"about_ca_system_score_gemma":0.0004179938,"threshold_uncertainty_score":0.039126337},"labels":[],"label_agreement":null},{"id":"W324708294","doi":"10.1016/j.jpowsour.2015.04.154","title":"Parameter estimation of an electrochemistry-based lithium-ion battery model","year":2015,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Homotopy; Algebraic equation; Differential algebraic equation; Lithium-ion battery; Ordinary differential equation; Control theory (sociology); Embedding; Applied mathematics; Electrical phenomena; Lithium (medication); Computer science; Mathematical optimization; Mathematics; Differential equation; Mathematical analysis; Physics; Engineering; Thermodynamics; Nonlinear system; Power (physics); Electrical engineering","score_opus":0.020562815673396847,"score_gpt":0.2750301978350387,"score_spread":0.25446738216164183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W324708294","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43827674,0.0010776502,0.5446812,0.0010484139,0.00009411909,0.00013193967,0.00095142034,0.0013145355,0.012423928],"genre_scores_gemma":[0.9953673,0.00011292042,0.0023887523,0.00003077657,0.000008437695,0.000043254735,0.00019599857,0.000018553663,0.0018340753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999007,0.000027070468,0.000007642213,0.000030677726,0.000019049214,0.000014792298],"domain_scores_gemma":[0.99965096,0.00019891807,0.00004038835,0.00002623142,0.000073848794,0.000009582714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002961609,0.0005489735,0.00084738847,0.00030179863,0.0002794514,0.0008092017,0.0009591531,0.0012510534,0.0014768105],"category_scores_gemma":[0.001244237,0.0003466888,0.00054675987,0.00028711456,0.00035928184,0.00071176334,0.00045168036,0.00076736184,0.00035108146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053825916,0.000019471378,0.0006847631,0.000033138327,0.000025491334,0.000034886645,0.000018317221,0.99276537,0.0013074037,0.00064306677,0.00015984834,0.0042544757],"study_design_scores_gemma":[0.000005505955,0.00000887612,0.000253135,0.000002178523,0.0000058047535,0.0000069474004,0.0000028138595,0.9989724,0.0003546196,0.0002869117,0.00009757305,0.0000032963455],"about_ca_topic_score_codex":0.011567142,"about_ca_topic_score_gemma":0.0058836034,"teacher_disagreement_score":0.011567142,"about_ca_system_score_codex":0.00057311496,"about_ca_system_score_gemma":0.00056795764,"threshold_uncertainty_score":0.022999644},"labels":[],"label_agreement":null},{"id":"W4200007308","doi":"10.1016/j.ensm.2021.12.044","title":"Enabling high-fidelity electrochemical P2D modeling of lithium-ion batteries via fast and non-destructive parameter identification","year":2021,"lang":"en","type":"article","venue":"Energy storage materials","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":193,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Graduate Scientific Research and Innovation Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Identification (biology); Battery (electricity); Sensitivity (control systems); Process (computing); Estimation theory; Mean squared error; Materials science; System identification; Voltage; Root mean square; Computer science; Algorithm; Control theory (sociology); Biological system; Engineering; Artificial intelligence; Electronic engineering; Mathematics; Data mining; Statistics; Measure (data warehouse)","score_opus":0.010537795208967249,"score_gpt":0.23359090626112466,"score_spread":0.22305311105215742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200007308","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.081564136,0.00027020724,0.9012173,0.00033681723,0.000061107814,0.000058642585,0.0006543192,0.0018131008,0.014024433],"genre_scores_gemma":[0.91977113,0.00032452663,0.07597006,0.000067282635,0.000012824986,0.000105077605,0.00037296014,0.00017875292,0.003197416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991846,0.000012928845,0.0000036996746,0.000010839201,0.000046717967,0.000007288354],"domain_scores_gemma":[0.9998135,0.00008278853,0.000018712944,0.00004392909,0.00003387026,0.000007210721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018234401,0.00054214284,0.00030319332,0.000215857,0.00023458787,0.000867092,0.00079657923,0.0007998919,0.0020426053],"category_scores_gemma":[0.0010829113,0.0003292616,0.0002473812,0.0002851629,0.00038748368,0.0010619911,0.0006923533,0.0006030544,0.00060854387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006356644,0.00004934599,0.00137673,0.000177678,0.000029614583,0.00018515595,0.00013053016,0.92412376,0.035692994,0.013052718,0.0014064953,0.023711467],"study_design_scores_gemma":[0.0000023317516,0.0000047735143,0.000058526413,0.0000025372576,0.0000014946653,0.000018029012,0.000007457038,0.9925155,0.0050236243,0.0014463541,0.0009160801,0.0000032786209],"about_ca_topic_score_codex":0.0018256494,"about_ca_topic_score_gemma":0.002199213,"teacher_disagreement_score":0.0020426053,"about_ca_system_score_codex":0.0002964253,"about_ca_system_score_gemma":0.00057870033,"threshold_uncertainty_score":0.006833136},"labels":[],"label_agreement":null},{"id":"W4200027757","doi":"10.1002/9781119214236.index","title":"INDEX","year":2021,"lang":"en","type":"paratext","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Index (typography); Library science; Citation; Computer science; World Wide Web","score_opus":0.018975030524718165,"score_gpt":0.28837634829455017,"score_spread":0.269401317769832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200027757","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007035926,0.0012000699,0.0066223703,0.001325655,0.006505328,0.00016997998,0.003926193,0.002398093,0.9771488],"genre_scores_gemma":[0.0036288968,0.0009035545,0.0018161422,0.00062482944,0.00067620823,0.000057869966,0.0034994693,0.00043120072,0.9883618],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995789,0.000033311047,0.00002824576,0.00008916471,0.00021808041,0.00005233191],"domain_scores_gemma":[0.9994586,0.00004468303,0.000019559033,0.00010316902,0.00027255368,0.000101364974],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00029763137,0.00095200446,0.00063302496,0.0013183809,0.000992824,0.0036246292,0.0013153037,0.0013178443,0.7084442],"category_scores_gemma":[0.00094652997,0.00034350887,0.00048133076,0.0015528663,0.00024168516,0.003062175,0.0019772293,0.0012848857,0.60958076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005328666,0.000052136387,0.00019811619,0.0001522027,0.0000065925774,0.000081337974,0.00004382614,0.00023366488,0.0009795465,0.013072004,0.7207301,0.26439714],"study_design_scores_gemma":[0.000005576961,0.00001778155,0.00017587993,0.000035420344,0.0000019860856,0.000049116705,0.000022520897,0.000131801,0.00022588299,0.0022248102,0.9971052,0.000004046023],"about_ca_topic_score_codex":0.0015031183,"about_ca_topic_score_gemma":0.002450198,"teacher_disagreement_score":0.29155582,"about_ca_system_score_codex":0.0008327803,"about_ca_system_score_gemma":0.0007352196,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4200045901","doi":"10.1149/1945-7111/ac405b","title":"Measuring Parasitic Heat Flow in LiFePO<sub>4</sub>/Graphite Cells Using Isothermal Microcalorimetry","year":2021,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Isothermal microcalorimetry; Electrolyte; Graphite; Isothermal process; Analytical Chemistry (journal); Materials science; Thermodynamics; Chemistry; Electrode; Chemical engineering; Chromatography; Composite material; Physical chemistry; Enthalpy","score_opus":0.013848523875245988,"score_gpt":0.23103365780301174,"score_spread":0.21718513392776576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200045901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.975448,0.0004334627,0.02242498,0.00005275884,0.000027344731,0.00006101339,0.0001912765,0.00026515065,0.0010960955],"genre_scores_gemma":[0.9908599,0.00033253498,0.008137988,0.000025585845,0.000011380013,0.00006802258,0.0000698051,0.000021464146,0.00047346373],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99966395,0.000054983786,0.000015119,0.00006318042,0.0001613867,0.000041459316],"domain_scores_gemma":[0.9994072,0.00033984502,0.0000721591,0.00005715363,0.00009747514,0.000026175523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036614126,0.000292711,0.00030506085,0.00048861315,0.0003187532,0.00032592486,0.00045724987,0.00045106525,0.00082591875],"category_scores_gemma":[0.0011997118,0.00023329708,0.00016402054,0.00048965565,0.0006982144,0.0005071691,0.0003696955,0.00054880034,0.00015569794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011712948,0.000025211322,0.0027271942,0.00007798214,0.000008606612,0.00008050545,0.00015656059,0.000619844,0.98431003,0.0001150687,0.000057258552,0.01170473],"study_design_scores_gemma":[0.0000031952218,0.00012362318,0.0069891475,0.0000050187036,0.000008073291,0.00008153634,0.00004978967,0.0044426573,0.9878582,0.00007767656,0.0003494992,0.000011631693],"about_ca_topic_score_codex":0.000653095,"about_ca_topic_score_gemma":0.0012767009,"teacher_disagreement_score":0.00082591875,"about_ca_system_score_codex":0.0003670767,"about_ca_system_score_gemma":0.00017732954,"threshold_uncertainty_score":0.0027629733},"labels":[],"label_agreement":null},{"id":"W4200440769","doi":"10.1109/scored53546.2021.9652686","title":"PSO-Based PI Controller for Voltage-Oriented Controller based Vienna Rectifier for Electric Vehicle Charging Stations","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Control theory (sociology); PID controller; Rectifier (neural networks); Overshoot (microwave communication); Controller (irrigation); Settling time; Electric vehicle; Voltage; MATLAB; Computer science; Approximation error; Automotive engineering; Engineering; Control engineering; Temperature control; Electrical engineering; Physics; Control (management); Artificial neural network; Telecommunications; Step response; Power (physics)","score_opus":0.017253022949346282,"score_gpt":0.2749277169451483,"score_spread":0.257674693995802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200440769","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029079722,0.00054913404,0.9527689,0.00015532304,0.00017335785,0.00015291572,0.00004050561,0.0009961129,0.01608397],"genre_scores_gemma":[0.9290292,0.00035229514,0.06137329,0.000103190156,0.000044088385,0.00024458126,0.00011175492,0.00004670676,0.008694913],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974066,0.000042088373,0.000021055459,0.000057065063,0.00011544456,0.000023584551],"domain_scores_gemma":[0.9998097,0.00003862233,0.000028831799,0.000013050642,0.00010171962,0.000008114742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032542992,0.00044452105,0.0005015026,0.00022863307,0.0002929335,0.0007825505,0.0007125051,0.00049797096,0.0022261865],"category_scores_gemma":[0.0006301272,0.00021069474,0.00035255202,0.00024723876,0.00023202488,0.00029927946,0.00032287606,0.00062763627,0.0005528748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002598158,0.00016460397,0.0015800436,0.00041949362,0.0001383231,0.00020279526,0.00013247813,0.74858224,0.030562924,0.006568321,0.0037582032,0.20763083],"study_design_scores_gemma":[0.000042389802,0.0001494773,0.0005044945,0.0000137762,0.000022097222,0.000048972026,0.000013299865,0.9926172,0.0035325391,0.0004614872,0.002584811,0.000009412919],"about_ca_topic_score_codex":0.0034406355,"about_ca_topic_score_gemma":0.0031727266,"teacher_disagreement_score":0.0034406355,"about_ca_system_score_codex":0.00029590237,"about_ca_system_score_gemma":0.000599509,"threshold_uncertainty_score":0.0074473023},"labels":[],"label_agreement":null},{"id":"W4200468067","doi":"10.18280/ejee.230605","title":"Identification of ESS Degradations Related to Their Uses in Micro-Grids: Application to a Building Lighting Network with VRLA Batteries","year":2021,"lang":"en","type":"article","venue":"European Journal of Electrical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sizing; Renewable energy; Photovoltaic system; Automotive engineering; Energy storage; Computer science; Reliability engineering; Grid; Power (physics); Electrical engineering; Engineering; Mathematics","score_opus":0.006556878299096239,"score_gpt":0.22321728084144388,"score_spread":0.21666040254234764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200468067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9506977,0.00034276734,0.04512552,0.000099611716,0.000018758159,0.000057077737,0.0003285838,0.00038938283,0.002940531],"genre_scores_gemma":[0.9973936,0.0000494708,0.0021621222,0.0000042733104,0.0000015852016,0.00000779693,0.000079775025,0.00001170449,0.00028959787],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998148,0.000042469554,0.0000102189715,0.000036267145,0.00007060639,0.000025665417],"domain_scores_gemma":[0.99936265,0.00032372738,0.00007579322,0.00006999707,0.00014089629,0.000026949083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003454899,0.0004362321,0.0003580475,0.00062375644,0.00019188451,0.00050812744,0.00035515017,0.00042669303,0.0007947118],"category_scores_gemma":[0.0011899814,0.00009910603,0.00029065422,0.0005471011,0.00020370045,0.0004678058,0.00023652698,0.00027629195,0.0001896344],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093380245,0.00020536875,0.04933746,0.00043434126,0.00009313348,0.0011225267,0.0004113957,0.770493,0.05054164,0.001416404,0.0012218908,0.12378911],"study_design_scores_gemma":[0.000013779063,0.00030145576,0.029388104,0.000024501765,0.000046328336,0.00040117223,0.00039001997,0.9218678,0.04514836,0.0013458896,0.0010469881,0.000025641315],"about_ca_topic_score_codex":0.0023626056,"about_ca_topic_score_gemma":0.002013375,"teacher_disagreement_score":0.0023626056,"about_ca_system_score_codex":0.00048397295,"about_ca_system_score_gemma":0.00015821883,"threshold_uncertainty_score":0.00469774},"labels":[],"label_agreement":null},{"id":"W4200481758","doi":"10.3390/wevj12040257","title":"Parametric Predictions for Pure Electric Vehicles","year":2021,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Mean squared error; Artificial neural network; Parametric statistics; Root mean square; Approximation error; Mean absolute percentage error; Mean absolute error; Electric vehicle; Parametric model; Standard deviation; Mean square; Computer science; Algorithm; Mathematics; Statistics; Engineering; Artificial intelligence; Physics; Thermodynamics","score_opus":0.015487884923172511,"score_gpt":0.26454950924493786,"score_spread":0.24906162432176535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200481758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63084394,0.0006573725,0.32664958,0.00030776818,0.00016991023,0.00016646727,0.004373175,0.0017489722,0.03508292],"genre_scores_gemma":[0.9866303,0.00012569885,0.0089838365,0.000018561583,0.000008112017,0.00006775378,0.0009698039,0.00003952594,0.0031562953],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997727,0.00003704323,0.00001385315,0.000060802337,0.00009038258,0.000025267505],"domain_scores_gemma":[0.9994092,0.00025616778,0.000044348508,0.000087723914,0.00019294799,0.000009613692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004622223,0.0007123757,0.00034459948,0.00047508042,0.00018764994,0.0006532363,0.0008069121,0.00066358765,0.0032849468],"category_scores_gemma":[0.0020850175,0.00022838166,0.0006204217,0.00039280043,0.00021662499,0.0007894908,0.00033744803,0.0006087686,0.00075091055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003961507,0.000025128189,0.0011501103,0.000048726066,0.000007787046,0.000043254786,0.000019788682,0.9813601,0.0016036493,0.00065119634,0.00065589295,0.01439472],"study_design_scores_gemma":[0.0000027732806,0.000031885138,0.000793447,0.0000062531894,0.0000044848525,0.000018398296,0.000013502344,0.99563146,0.0017234815,0.00081300584,0.0009534303,0.000007863951],"about_ca_topic_score_codex":0.0074946876,"about_ca_topic_score_gemma":0.0060192463,"teacher_disagreement_score":0.0074946876,"about_ca_system_score_codex":0.00043546426,"about_ca_system_score_gemma":0.00037938237,"threshold_uncertainty_score":0.014902115},"labels":[],"label_agreement":null},{"id":"W4200495042","doi":"10.3390/pr9122263","title":"Investigation of Individual Cells Replacement Concept in Lithium-Ion Battery Packs with Analysis on Economic Feasibility and Pack Design Requirements","year":2021,"lang":"en","type":"article","venue":"Processes","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Battery pack; Battery (electricity); MATLAB; Computer science; Lithium (medication); Limit (mathematics); Reliability engineering; Degradation (telecommunications); Lithium-ion battery; Automotive engineering; Simulation; Electrical engineering; Engineering; Power (physics); Telecommunications; Medicine","score_opus":0.059489804525065616,"score_gpt":0.28731993491081675,"score_spread":0.22783013038575115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200495042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71181685,0.002112706,0.27273616,0.00020863356,0.000103649545,0.00018227546,0.00019894517,0.00035072045,0.012290003],"genre_scores_gemma":[0.9786354,0.0004197795,0.018810038,0.000018056686,0.00000850345,0.000045382123,0.000068613044,0.000026359736,0.0019678732],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997234,0.000044542703,0.000013596369,0.00004057137,0.00013984574,0.000038078797],"domain_scores_gemma":[0.99945337,0.00022068944,0.00006535368,0.00007032018,0.00016806983,0.000022082702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005386796,0.00029057582,0.00042663797,0.00037398256,0.00023076906,0.00061961834,0.000554602,0.00042968476,0.0015759389],"category_scores_gemma":[0.00117213,0.00021244388,0.00046738505,0.00030026233,0.00036471366,0.0010104938,0.0002694365,0.00027800817,0.0002298685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005047461,0.0001595414,0.010012361,0.0006713931,0.000071156166,0.0007526671,0.0002739478,0.73627937,0.1261507,0.013530165,0.0013529591,0.110241055],"study_design_scores_gemma":[0.000014070762,0.0005674772,0.0035104435,0.000021301095,0.00007000391,0.00038856713,0.00011154092,0.9438834,0.04565967,0.0018063546,0.003950929,0.000016313621],"about_ca_topic_score_codex":0.00084973936,"about_ca_topic_score_gemma":0.00088423636,"teacher_disagreement_score":0.0015759389,"about_ca_system_score_codex":0.0004165229,"about_ca_system_score_gemma":0.0002992281,"threshold_uncertainty_score":0.0052720904},"labels":[],"label_agreement":null},{"id":"W4200520486","doi":"10.1016/j.est.2021.103660","title":"Estimating battery state of charge using recurrent and non-recurrent neural networks","year":2021,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Recurrent neural network; Artificial neural network; Computer science; Estimator; State of charge; Feedforward neural network; Microprocessor; State (computer science); Artificial intelligence; Algorithm; Power (physics); Computer hardware; Mathematics","score_opus":0.02015420789818803,"score_gpt":0.2744588461515624,"score_spread":0.25430463825337435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200520486","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44168863,0.0012652059,0.55000544,0.0001983647,0.00007822693,0.00006183545,0.0003617121,0.001418899,0.0049216],"genre_scores_gemma":[0.97733784,0.00024645057,0.02082006,0.0000242243,0.000012125563,0.000022702196,0.0002387246,0.000025678091,0.0012722566],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998599,0.000023100985,0.000012140611,0.00003980271,0.00004657937,0.000018407454],"domain_scores_gemma":[0.9996252,0.00015330908,0.00006195145,0.000036377205,0.00011549884,0.000007704709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034327316,0.00054252794,0.00043365028,0.00038726543,0.0001474575,0.00055421866,0.00070267613,0.0003986525,0.0006476306],"category_scores_gemma":[0.0015041062,0.0002466424,0.00037931296,0.00035183434,0.00016542153,0.001102766,0.0002824105,0.0003577443,0.00020715198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017131331,0.00008343643,0.005542659,0.00013608659,0.00011274326,0.000163286,0.000072366696,0.8563964,0.015566557,0.0015993416,0.0007726148,0.11938314],"study_design_scores_gemma":[0.000001991651,0.000014809681,0.00069396896,0.0000034416944,0.000008424184,0.000012734689,0.0000071841228,0.99629176,0.0023955826,0.0004584921,0.00010750681,0.0000041704006],"about_ca_topic_score_codex":0.0055287955,"about_ca_topic_score_gemma":0.009162927,"teacher_disagreement_score":0.0055287955,"about_ca_system_score_codex":0.0004048302,"about_ca_system_score_gemma":0.00026322578,"threshold_uncertainty_score":0.010993242},"labels":[],"label_agreement":null},{"id":"W4200540894","doi":"10.3390/en14248560","title":"Adaptive Smooth Variable Structure Filter Strategy for State Estimation of Electric Vehicle Batteries","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"State of health; Internal resistance; Control theory (sociology); Battery (electricity); Noise (video); State of charge; Filter (signal processing); Engineering; State vector; State variable; Computer science; Automotive engineering; Electronic engineering; Power (physics); Electrical engineering","score_opus":0.014862309053860072,"score_gpt":0.250420161278801,"score_spread":0.23555785222494094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200540894","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019657187,0.00020969784,0.97891474,0.00006218058,0.000033202632,0.000018867479,0.000016154116,0.00025907022,0.0008289211],"genre_scores_gemma":[0.8958016,0.00036493546,0.10017902,0.00010038625,0.000048426817,0.000117525604,0.00012471604,0.000039051007,0.00322435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997826,0.000050363393,0.000015461403,0.00005412001,0.00007118122,0.000026216616],"domain_scores_gemma":[0.9995981,0.00020783658,0.000051643026,0.0000191348,0.00011496724,0.000008331146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053951563,0.00047947388,0.00050949,0.0003173835,0.000248196,0.00054396404,0.00048738695,0.00059299386,0.0010877583],"category_scores_gemma":[0.0014009025,0.00023215299,0.00042280622,0.00024929715,0.0003427016,0.000556824,0.00031649784,0.0006111757,0.00025625626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002969641,0.00007028476,0.0011501544,0.00017151498,0.000081721926,0.00009881208,0.00019101717,0.73025316,0.030093882,0.0073925965,0.0010679539,0.22913186],"study_design_scores_gemma":[0.000010098999,0.00005114623,0.00024571692,0.000006404205,0.000007329011,0.0000088308025,0.000006183105,0.9969392,0.0018001561,0.0005140288,0.0004046712,0.0000062908625],"about_ca_topic_score_codex":0.007075789,"about_ca_topic_score_gemma":0.004856226,"teacher_disagreement_score":0.007075789,"about_ca_system_score_codex":0.0004193088,"about_ca_system_score_gemma":0.0005465194,"threshold_uncertainty_score":0.0140692},"labels":[],"label_agreement":null},{"id":"W4205185137","doi":"10.1109/access.2021.3132896","title":"A Dual-Input High-Gain Bidirectional DC/DC Converter for Hybrid Energy Storage Systems in DC Grid Applications","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"European Commission","keywords":"Forward converter; Flyback converter; Boost converter; Ćuk converter; Computer science; Buck–boost converter; Transformer; Charge pump; Buck converter; Energy storage; Electronic engineering; Electrical engineering; Voltage; Engineering; Physics; Capacitor; Power (physics)","score_opus":0.023179760148503,"score_gpt":0.289308184551776,"score_spread":0.266128424403273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205185137","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07281476,0.0021190424,0.8570174,0.00046366555,0.0003987639,0.00021809258,0.00020889977,0.0022293697,0.06452994],"genre_scores_gemma":[0.92922354,0.00087509176,0.048733976,0.00015067658,0.00006303253,0.0000781132,0.00013224319,0.000076296434,0.02066703],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989474,0.000015227832,0.0000053212157,0.00001831005,0.000057207097,0.000009181916],"domain_scores_gemma":[0.9999399,0.000008954716,0.0000037514176,0.00000750898,0.0000351051,0.000004813517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012672423,0.00026205636,0.00027019333,0.00023584577,0.00034842934,0.0007085523,0.0004861678,0.0002803617,0.0037971747],"category_scores_gemma":[0.00011034571,0.00012078155,0.0002126934,0.00027615632,0.00015338534,0.00044969958,0.00024819176,0.000561422,0.0010906996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005525249,0.00036153247,0.0016332185,0.0011044139,0.00010639105,0.0006771097,0.0002803611,0.029680958,0.47882193,0.0449932,0.010532753,0.43125546],"study_design_scores_gemma":[0.0001484933,0.00097190094,0.0020481632,0.00017528668,0.0001325097,0.0019395447,0.00020343058,0.5470866,0.31565678,0.011462334,0.12007715,0.00009775704],"about_ca_topic_score_codex":0.000499012,"about_ca_topic_score_gemma":0.0010549392,"teacher_disagreement_score":0.0037971747,"about_ca_system_score_codex":0.00024472558,"about_ca_system_score_gemma":0.00023847507,"threshold_uncertainty_score":0.012702823},"labels":[],"label_agreement":null},{"id":"W4205449545","doi":"10.1149/1945-7111/ac4b82","title":"How do Depth of Discharge, C-rate and Calendar Age Affect Capacity Retention, Impedance Growth, the Electrodes, and the Electrolyte in Li-Ion Cells?","year":2022,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Light Source (Canada); Dalhousie University","funders":"","keywords":"Electrolyte; Electrode; Anode; Analytical Chemistry (journal); Chemistry; Capacity loss; Lithium-ion battery; Ion; Lithium (medication); State of charge; Electrochemistry; Materials science; Chromatography; Battery (electricity); Thermodynamics","score_opus":0.007317072897020615,"score_gpt":0.21113853635713767,"score_spread":0.20382146346011706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205449545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99624455,0.00073525315,0.0022740683,0.00007672368,0.000011357862,0.000010607691,0.00014820926,0.000021409394,0.0004777312],"genre_scores_gemma":[0.9992781,0.00015548308,0.00024555184,0.000018329461,0.0000030899716,0.0000021107012,0.000055411183,0.0000044430544,0.00023754645],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998211,0.000044054028,0.000012771055,0.000043325887,0.00004965926,0.000029020293],"domain_scores_gemma":[0.99884903,0.00053551607,0.00027386565,0.00008985358,0.00019352943,0.00005821057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009947015,0.00023649338,0.00031603622,0.0003125735,0.000112542635,0.00068504596,0.00033488017,0.0005930295,0.00044791555],"category_scores_gemma":[0.0025001692,0.00020208262,0.00024462107,0.00029922667,0.0002819714,0.000963378,0.00019423278,0.00026253,0.0002662445],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011421186,0.00034253445,0.45874733,0.00022533434,0.00024215018,0.00062176294,0.0004400361,0.04363449,0.4365513,0.0005315462,0.0005364161,0.056984887],"study_design_scores_gemma":[0.000031754458,0.0013778736,0.65837073,0.00004847572,0.00028238486,0.0006357576,0.000683552,0.08997424,0.24565867,0.00072294526,0.0021137563,0.00010000387],"about_ca_topic_score_codex":0.002483153,"about_ca_topic_score_gemma":0.0032442405,"teacher_disagreement_score":0.002483153,"about_ca_system_score_codex":0.00025879184,"about_ca_system_score_gemma":0.00016939057,"threshold_uncertainty_score":0.005260527},"labels":[],"label_agreement":null},{"id":"W4205853760","doi":"10.1109/tpel.2021.3137416","title":"An Online SOC-SOTD Joint Estimation Algorithm for Pouch Li-Ion Batteries Based on Spatio-Temporal Coupling Correction Method","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"State Key Laboratory of Automotive Safety and Energy; National Natural Science Foundation of China","keywords":"State of charge; Battery (electricity); Algorithm; Duty cycle; Coupling (piping); Driving cycle; Control theory (sociology); Computer science; Electric vehicle; Engineering; Voltage; Power (physics); Electrical engineering; Physics","score_opus":0.0221232522874677,"score_gpt":0.3034482178071622,"score_spread":0.2813249655196945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205853760","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0062337867,0.000098828954,0.992419,0.000036267797,0.000025421152,0.000018310046,0.000016809407,0.00043697841,0.00071468495],"genre_scores_gemma":[0.6585883,0.00044953523,0.3335225,0.00010877239,0.000066430126,0.00023430126,0.00033983967,0.0001649086,0.006525494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970835,0.000028826486,0.000023012524,0.00007938326,0.00013160783,0.000028829783],"domain_scores_gemma":[0.9996519,0.000067165434,0.00004827168,0.00003509489,0.00018092846,0.000016668011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032591555,0.0006335688,0.0006810098,0.00042485705,0.0004583435,0.00069021055,0.0008324791,0.00049827294,0.0015544639],"category_scores_gemma":[0.0013122201,0.0003919377,0.0005524921,0.00048863667,0.0002929505,0.001124262,0.00078044075,0.000737772,0.0005350709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024112216,0.000055878347,0.0029267094,0.00019555283,0.00006252345,0.00010592174,0.00019020354,0.5557209,0.020073542,0.008361864,0.0023807187,0.40968502],"study_design_scores_gemma":[0.000008594416,0.000020913201,0.00024149597,0.000004390942,0.000008174123,0.00003621049,0.000010958419,0.99528044,0.0024355736,0.0009344583,0.0010090041,0.000009811304],"about_ca_topic_score_codex":0.008186667,"about_ca_topic_score_gemma":0.0056708977,"teacher_disagreement_score":0.008186667,"about_ca_system_score_codex":0.00043977814,"about_ca_system_score_gemma":0.0010721899,"threshold_uncertainty_score":0.016278028},"labels":[],"label_agreement":null},{"id":"W4205976837","doi":"10.1109/tpel.2021.3134701","title":"Data-Driven Battery State of Health Estimation Based on Random Partial Charging Data","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":325,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Battery (electricity); State of health; Kriging; Computer science; Ground-penetrating radar; Software deployment; Voltage; Process (computing); Lead–acid battery; Electric vehicle; Residual; Data mining; Engineering; Algorithm; Machine learning; Electrical engineering; Radar; Power (physics)","score_opus":0.036295856606068565,"score_gpt":0.3112105253481307,"score_spread":0.27491466874206216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205976837","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15258318,0.00022807626,0.8440055,0.00017256339,0.000055569497,0.000060437134,0.00044703207,0.0009557136,0.0014918564],"genre_scores_gemma":[0.95116514,0.00020649744,0.04644783,0.00006655531,0.00003181231,0.00007092402,0.00089003623,0.000033031112,0.001088121],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979943,0.000040547806,0.000014737871,0.00006155063,0.00006227368,0.000021438938],"domain_scores_gemma":[0.9995629,0.00015364202,0.00005461087,0.00006485931,0.00014952116,0.000014431329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033110907,0.00046877336,0.00046736747,0.00045590353,0.00013839707,0.0004281409,0.00058225676,0.00037357776,0.0006009429],"category_scores_gemma":[0.0019495395,0.00022927794,0.00044327718,0.0005259394,0.0002195959,0.0007824282,0.0004610375,0.00048379996,0.00026956422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028891486,0.00012844738,0.01111645,0.0002000314,0.00008926987,0.00020103235,0.00014034375,0.7110906,0.014692099,0.0033484057,0.002057529,0.25664693],"study_design_scores_gemma":[0.0000048045495,0.000026036712,0.0013556348,0.0000037297166,0.000007680798,0.00002947542,0.000011540231,0.9953243,0.002238464,0.0007607457,0.00022965741,0.000007991894],"about_ca_topic_score_codex":0.0031716065,"about_ca_topic_score_gemma":0.0028457255,"teacher_disagreement_score":0.0031716065,"about_ca_system_score_codex":0.00026133755,"about_ca_system_score_gemma":0.00039194198,"threshold_uncertainty_score":0.0063062906},"labels":[],"label_agreement":null},{"id":"W4206177703","doi":"10.3390/en15020592","title":"Variable Speed Diesel Generators: Performance and Characteristic Comparison","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Rimouski","funders":"","keywords":"Automotive engineering; Diesel generator; Diesel fuel; Diesel engine; Backup; Electrical load; Fuel efficiency; Electric power; Environmental science; Power (physics); Engineering; Electrical engineering; Mechanical engineering; Voltage","score_opus":0.013931655855201348,"score_gpt":0.23290676399069662,"score_spread":0.21897510813549528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206177703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87653214,0.023359656,0.04100597,0.00031842274,0.00024168608,0.00018428254,0.0033004328,0.0011616526,0.053895846],"genre_scores_gemma":[0.9909484,0.0023131196,0.0016700777,0.000014970657,0.000031912525,0.00001445499,0.0014144032,0.00006449158,0.0035281696],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996222,0.000043153163,0.000030205221,0.00006783632,0.00020406023,0.00003260007],"domain_scores_gemma":[0.9993444,0.00022184914,0.00006671743,0.00004820297,0.00028806692,0.000030797397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043956988,0.00054970366,0.00046762815,0.0014438096,0.00018701637,0.00074393116,0.00054148695,0.00038717242,0.0018385269],"category_scores_gemma":[0.00076437247,0.00009607374,0.00036982403,0.0014589987,0.00013216077,0.00070525706,0.00023528407,0.0002790039,0.0013566137],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034139114,0.00051274884,0.056538116,0.0025764934,0.00026860263,0.0006052574,0.0002939957,0.11603539,0.09292996,0.002790242,0.009797918,0.71423733],"study_design_scores_gemma":[0.00028089088,0.013916635,0.2726391,0.00034447928,0.0006862912,0.0033185643,0.0011805202,0.31687957,0.26670247,0.0045717703,0.11912979,0.0003500193],"about_ca_topic_score_codex":0.0011271461,"about_ca_topic_score_gemma":0.000807082,"teacher_disagreement_score":0.0018385269,"about_ca_system_score_codex":0.00042142143,"about_ca_system_score_gemma":0.00015985247,"threshold_uncertainty_score":0.006150484},"labels":[],"label_agreement":null},{"id":"W4206292675","doi":"10.1051/e3sconf/202132901026","title":"Research on Energy Storage Cost Model in Distributed Energy System Environment","year":2021,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"State Grid Corporation of China","keywords":"Energy storage; Marketization; Energy (signal processing); Distributed generation; Intermittent energy source; Environmental economics; Computer science; Reliability engineering; Power (physics); Renewable energy; Engineering; Electrical engineering; Economics; China","score_opus":0.05227243605401581,"score_gpt":0.2941888088484978,"score_spread":0.24191637279448197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206292675","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11470451,0.0070204567,0.78166497,0.0054600444,0.0004623098,0.00014724163,0.00050262373,0.00024540306,0.08979243],"genre_scores_gemma":[0.9630357,0.0030779701,0.010061649,0.00017026144,0.00012974441,0.00010346161,0.00013944232,0.00006388227,0.023217797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9996126,0.00012917959,0.000014387687,0.000068563786,0.000095018884,0.000080258935],"domain_scores_gemma":[0.999448,0.0002869383,0.0000502117,0.000034714056,0.0001486124,0.000031565723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009107556,0.00084760494,0.0006604443,0.0007747714,0.00053324027,0.0017801811,0.0019374765,0.001219561,0.0051442483],"category_scores_gemma":[0.002010628,0.00035625976,0.000793334,0.0010945497,0.0007935502,0.0039712097,0.0007561071,0.0013879006,0.0003644787],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000337008,0.000037489015,0.0007491809,0.000120695484,0.000028210537,0.00017892414,0.000052992462,0.7241099,0.00053896144,0.2642894,0.002406022,0.007454554],"study_design_scores_gemma":[0.000004246943,0.000010514463,0.00019300042,0.000012626323,0.000010162773,0.00003260764,0.000027525348,0.97269946,0.00010556194,0.025963662,0.0009342901,0.0000062544486],"about_ca_topic_score_codex":0.0069880206,"about_ca_topic_score_gemma":0.0048392583,"teacher_disagreement_score":0.0069880206,"about_ca_system_score_codex":0.0025455677,"about_ca_system_score_gemma":0.001244979,"threshold_uncertainty_score":0.018469453},"labels":[],"label_agreement":null},{"id":"W4206392186","doi":"10.1109/naps52732.2021.9654268","title":"Impact of EV Charging Load Uncertainty as Gaussian Mixtures Model on System Performance","year":2021,"lang":"en","type":"article","venue":"2021 North American Power Symposium (NAPS)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Probabilistic logic; Gaussian; Voltage; Mixture model; Gaussian process; Electric power system; Electric vehicle; Power (physics); Control theory (sociology); Computer science; AC power; Engineering; Physics; Artificial intelligence; Electrical engineering","score_opus":0.006731484402599803,"score_gpt":0.2517301090187519,"score_spread":0.24499862461615213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206392186","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27609015,0.00017729183,0.7196345,0.00022203215,0.000025859024,0.000034827066,0.00011549268,0.000595086,0.0031047228],"genre_scores_gemma":[0.99259394,0.000041474414,0.006915393,0.0000152299335,0.000008798654,0.000011272811,0.000043483633,0.000024890402,0.00034555406],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987153,0.00049217534,0.00004476338,0.00017409679,0.0004513932,0.00012239804],"domain_scores_gemma":[0.99671906,0.0025030153,0.0003074136,0.00018342119,0.00024195279,0.00004520784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019587425,0.0009479459,0.00068333856,0.00043979325,0.00035409,0.00095171644,0.00051240344,0.0005735521,0.00056006765],"category_scores_gemma":[0.008158864,0.00039616087,0.00048691191,0.00039680436,0.00063738954,0.0016205567,0.0007394126,0.0009037912,0.00011971793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050790248,0.000008418115,0.0011389895,0.000008577102,0.000019897394,0.000029190513,0.00002482546,0.99126726,0.000810502,0.0016230281,0.00006470284,0.004953867],"study_design_scores_gemma":[0.0000012547885,0.000020886355,0.00066480815,0.0000015210273,0.0000059587333,0.000011283656,0.0000058233695,0.9979388,0.00061601674,0.000679293,0.000047794845,0.0000065028726],"about_ca_topic_score_codex":0.006386287,"about_ca_topic_score_gemma":0.0042505586,"teacher_disagreement_score":0.006386287,"about_ca_system_score_codex":0.00083877944,"about_ca_system_score_gemma":0.0007216412,"threshold_uncertainty_score":0.012698233},"labels":[],"label_agreement":null},{"id":"W4206491507","doi":"10.22215/etd/2021-14707","title":"A Pulsating Heat Pipe Based Thermal Management System for Lithium-ion Batteries","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Battery pack; Battery (electricity); Water cooling; Fluent; Heat pipe; Automotive engineering; Thermal; Range (aeronautics); Temperature control; Nuclear engineering; Air cooling; Environmental science; Power (physics); Engineering; Mechanical engineering; Simulation; Heat transfer; Aerospace engineering; Mechanics; Computer simulation; Thermodynamics; Physics","score_opus":0.014214463978165988,"score_gpt":0.2685543884340059,"score_spread":0.2543399244558399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206491507","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43252328,0.0018629965,0.5368489,0.00044594682,0.00033131926,0.0005925084,0.0005177219,0.007244937,0.019632328],"genre_scores_gemma":[0.9547315,0.00049862405,0.03508095,0.00008038938,0.000045622128,0.00021765307,0.00016733604,0.00007702784,0.009100837],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998915,0.00001475622,0.000008120841,0.000022809676,0.000053536965,0.000009334222],"domain_scores_gemma":[0.9999224,0.000015698994,0.000010890691,0.0000105996,0.000034220986,0.0000062327945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001682342,0.00022834899,0.00027564864,0.00021538064,0.00024290167,0.0003070037,0.00060409907,0.00022068126,0.0024227996],"category_scores_gemma":[0.00028046328,0.00014522958,0.000171592,0.00023157665,0.00015758556,0.00053146784,0.0003319555,0.00024119968,0.0005685483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050423795,0.00015379078,0.0025233573,0.00072800176,0.00002920587,0.0002880315,0.00036691717,0.015214679,0.6863607,0.0023968243,0.0051327897,0.2863014],"study_design_scores_gemma":[0.0001478841,0.0016302094,0.008891182,0.000079354984,0.00011625636,0.0010884409,0.00013019424,0.26596493,0.65858984,0.0010738487,0.062185712,0.00010216919],"about_ca_topic_score_codex":0.00031930557,"about_ca_topic_score_gemma":0.0002707955,"teacher_disagreement_score":0.0024227996,"about_ca_system_score_codex":0.00019762867,"about_ca_system_score_gemma":0.00030000138,"threshold_uncertainty_score":0.008105099},"labels":[],"label_agreement":null},{"id":"W4206549966","doi":"10.1109/imcet53404.2021.9665577","title":"A Review on Electric Vehicles Battery Chargers and AC/DC Converters for Fast Charging Stations","year":2021,"lang":"en","type":"review","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; École de Technologie Supérieure","funders":"","keywords":"Converters; Battery (electricity); Electrical engineering; Grid; Electric vehicle; Computer science; Electric-vehicle battery; Engineering; Electronic engineering; Automotive engineering; Voltage; Power (physics); Physics; Mathematics","score_opus":0.05383020369586932,"score_gpt":0.3425144321095096,"score_spread":0.2886842284136403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206549966","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003338682,0.9944042,0.0006029269,0.00019990068,0.00036017055,0.000014443753,0.00006660595,0.000017090137,0.0040008323],"genre_scores_gemma":[0.0011953377,0.9954496,0.00060977624,0.00017076459,0.00018158907,0.000011746516,0.00010871581,0.0000044932626,0.0022679812],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99975866,0.000032971144,0.00004473875,0.000048273934,0.00009553182,0.000019801344],"domain_scores_gemma":[0.99960023,0.00018341027,0.000055427357,0.00001410686,0.00012840456,0.000018354547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041484807,0.0010129624,0.0009741761,0.0030574666,0.00026504678,0.0008650643,0.0007677173,0.0008699868,0.008445084],"category_scores_gemma":[0.00069419236,0.0003815339,0.0007115853,0.0038869532,0.00021378908,0.0015378044,0.00048872724,0.00088948524,0.0037613395],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007338216,0.000095788644,0.00020552879,0.0422538,0.00011275117,0.00023533654,0.00008141635,0.00073128636,0.0035654434,0.005640328,0.03775873,0.9092462],"study_design_scores_gemma":[0.000006161101,0.000094082796,0.00056677044,0.004538722,0.00013527705,0.00059571624,0.000039773386,0.00010586369,0.00077876006,0.0009849662,0.99213785,0.000016139491],"about_ca_topic_score_codex":0.0010191614,"about_ca_topic_score_gemma":0.001692413,"teacher_disagreement_score":0.008445084,"about_ca_system_score_codex":0.00032743817,"about_ca_system_score_gemma":0.0010090681,"threshold_uncertainty_score":0.028251648},"labels":[],"label_agreement":null},{"id":"W4206663789","doi":"10.3390/electronics11010117","title":"Novel Technique for Estimation of Cell Parameters Using MATLAB/Simulink","year":2021,"lang":"en","type":"article","venue":"Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"MATLAB; Battery (electricity); Voltage; State of charge; Computer science; Estimation theory; Capacitor; Control theory (sociology); Software; Powertrain; Power (physics); Electronic engineering; Algorithm; Engineering; Electrical engineering; Artificial intelligence","score_opus":0.022732113962215975,"score_gpt":0.29115128978278204,"score_spread":0.26841917582056607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206663789","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032704605,0.00007080959,0.9905599,0.000039135626,0.000036338,0.00005196231,0.0001735809,0.0038054183,0.0019923786],"genre_scores_gemma":[0.30066174,0.0004668742,0.688878,0.000085127875,0.000031667427,0.0007306815,0.0012683539,0.00073653593,0.0071409745],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970526,0.000053786738,0.00003026647,0.0000573195,0.00013383057,0.000019488405],"domain_scores_gemma":[0.9995759,0.00013006797,0.000059180045,0.0000771642,0.00014910859,0.000008527825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004751078,0.00095388794,0.0003844777,0.0005502963,0.00026481086,0.00067424064,0.0008210642,0.0005050359,0.00596169],"category_scores_gemma":[0.0013305849,0.00037768923,0.0005310453,0.00029849212,0.0001380287,0.00067669136,0.0005165809,0.0010116734,0.0020989168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012944755,0.00010964739,0.0018816618,0.00068683375,0.00012095851,0.00031246632,0.00022557727,0.61233306,0.045332246,0.009102546,0.0068245144,0.3229411],"study_design_scores_gemma":[0.000019147798,0.0000637085,0.0003752507,0.000032662607,0.000023305725,0.00012686319,0.000022052667,0.9637357,0.01962043,0.0014975783,0.014465163,0.000018066828],"about_ca_topic_score_codex":0.0030716616,"about_ca_topic_score_gemma":0.0033289667,"teacher_disagreement_score":0.00596169,"about_ca_system_score_codex":0.0002423086,"about_ca_system_score_gemma":0.0006341995,"threshold_uncertainty_score":0.019943833},"labels":[],"label_agreement":null},{"id":"W4206686719","doi":"10.1186/s10033-021-00668-y","title":"Lifetime and Aging Degradation Prognostics for Lithium-ion Battery Packs Based on a Cell to Pack Method","year":2022,"lang":"en","type":"article","venue":"Chinese Journal of Mechanical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Research and Innovation Foundation; National Natural Science Foundation of China","keywords":"Prognostics; Battery pack; Battery (electricity); Degradation (telecommunications); Process (computing); Reliability engineering; Domain (mathematical analysis); Battery capacity; Computer science; Lithium-ion battery; Automotive engineering; Engineering; Electrical engineering; Power (physics); Mathematics","score_opus":0.011464144754690538,"score_gpt":0.2708450647773882,"score_spread":0.25938092002269764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206686719","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17627043,0.00095774955,0.81800216,0.00027776137,0.000093672745,0.000055703415,0.00020990314,0.0019290015,0.002203596],"genre_scores_gemma":[0.9763287,0.0002612559,0.021253955,0.0000740537,0.000028741148,0.00003798933,0.00019810599,0.000030296053,0.00178691],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989784,0.000013467,0.0000072852995,0.000029209168,0.000035799567,0.000016390031],"domain_scores_gemma":[0.999718,0.00007679113,0.000035100926,0.000025493056,0.00012367599,0.00002076922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038752597,0.00057719374,0.00058684364,0.00056233804,0.00017800192,0.00038699346,0.000645084,0.0004747832,0.0010077116],"category_scores_gemma":[0.0010124071,0.00021116696,0.00044824765,0.00031828406,0.00023222758,0.00088586565,0.0005082403,0.00053595594,0.00027138248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002845418,0.00012052487,0.01064731,0.00012155591,0.00008041346,0.00016673454,0.00009643681,0.72314763,0.014604663,0.0018392234,0.002066824,0.24682418],"study_design_scores_gemma":[0.000002092982,0.00001884388,0.00042860344,0.0000021409935,0.0000064570772,0.000012606056,0.0000037036014,0.99812573,0.0009885401,0.00031205395,0.000096486234,0.0000027607978],"about_ca_topic_score_codex":0.004309097,"about_ca_topic_score_gemma":0.0030543562,"teacher_disagreement_score":0.004309097,"about_ca_system_score_codex":0.0004274503,"about_ca_system_score_gemma":0.0004325581,"threshold_uncertainty_score":0.008567989},"labels":[],"label_agreement":null},{"id":"W4206778448","doi":"10.1109/tte.2022.3143092","title":"Power Sharing Control Algorithm for Direct Integration of Fuel Cells in a Dual-Inverter Electric Vehicle Drivetrain","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Power (physics); Inverter; Drivetrain; Electric vehicle; Automotive engineering; Electrical engineering; Voltage; Computer science; Engineering; Torque; Physics","score_opus":0.010604087073935765,"score_gpt":0.2394296440235355,"score_spread":0.22882555694959975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206778448","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040367488,0.00017919327,0.94925016,0.00012325702,0.00010184917,0.00011080512,0.000020763868,0.0005433085,0.00930325],"genre_scores_gemma":[0.95632046,0.00006959017,0.04072012,0.000042635147,0.000031479183,0.000113852126,0.000026740305,0.000018640983,0.0026564389],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981695,0.000018715366,0.0000143810785,0.000057254765,0.000059514132,0.00003317332],"domain_scores_gemma":[0.9998697,0.000025503881,0.000024757806,0.000010404849,0.00005698041,0.000012629455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003424558,0.00058259425,0.00051345926,0.00031001525,0.0004947237,0.00077295024,0.0008855314,0.0003914325,0.0022725358],"category_scores_gemma":[0.0003922081,0.00021214676,0.00023501142,0.00024770785,0.00039747445,0.00035462683,0.00065738667,0.0005260788,0.00033786072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004322739,0.0002445501,0.0010535953,0.00019066897,0.00006130906,0.00030044536,0.00042207545,0.57928586,0.03925906,0.019344384,0.003122221,0.35628352],"study_design_scores_gemma":[0.00003842943,0.00012959573,0.00014255899,0.000007830394,0.000010547906,0.000030667292,0.000013882532,0.9944898,0.0027307144,0.001181909,0.0012172401,0.0000068603285],"about_ca_topic_score_codex":0.0038904164,"about_ca_topic_score_gemma":0.0034096956,"teacher_disagreement_score":0.0038904164,"about_ca_system_score_codex":0.00045299737,"about_ca_system_score_gemma":0.0005643355,"threshold_uncertainty_score":0.0077355504},"labels":[],"label_agreement":null},{"id":"W4207043006","doi":"10.1016/j.est.2022.104061","title":"Lithium-ion battery State-of-Charge estimation based on an improved Coulomb-Counting algorithm and uncertainty evaluation","year":2022,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":166,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Battery (electricity); State of charge; Parametric statistics; Lithium-ion battery; Algorithm; Heuristic; Computer science; Control theory (sociology); Engineering; Mathematics; Power (physics); Statistics; Physics; Artificial intelligence","score_opus":0.01405806831395425,"score_gpt":0.2734634025700754,"score_spread":0.25940533425612117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4207043006","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02268538,0.0003275245,0.974838,0.00006296085,0.000036518508,0.00003191501,0.000042361324,0.00048892916,0.0014862929],"genre_scores_gemma":[0.71063584,0.00036565412,0.2849663,0.00013080417,0.00008429283,0.00017057167,0.0003661639,0.00011756136,0.0031627573],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935967,0.00010665858,0.00006783422,0.00013346253,0.0002887416,0.000043617914],"domain_scores_gemma":[0.9988331,0.00048010255,0.00008634671,0.00006837495,0.00050356874,0.000028544593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000827775,0.00073111453,0.0013037211,0.0009324623,0.00071862846,0.0012019445,0.0013304859,0.00085721264,0.0013354071],"category_scores_gemma":[0.0035257447,0.0003043085,0.0006814718,0.00097629597,0.00032676893,0.0015104357,0.0009116898,0.0005783119,0.00036968745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003365969,0.00018374043,0.0035352712,0.0002091487,0.0001448822,0.00016243638,0.00011690129,0.48066908,0.01656291,0.011636164,0.0025997185,0.48384312],"study_design_scores_gemma":[0.0000046748546,0.000013550535,0.00028414087,0.000003837759,0.00001082804,0.000029808381,0.0000044094177,0.9969854,0.0016811054,0.0007589595,0.00021307224,0.000010211044],"about_ca_topic_score_codex":0.0055143186,"about_ca_topic_score_gemma":0.0052096895,"teacher_disagreement_score":0.0055143186,"about_ca_system_score_codex":0.0006416524,"about_ca_system_score_gemma":0.0013888334,"threshold_uncertainty_score":0.010964453},"labels":[],"label_agreement":null},{"id":"W4210509578","doi":"10.1109/tia.2022.3147149","title":"On the Factors Affecting Battery Unit Contributions to Fault Currents in Grid-Connected Battery Storage Systems","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Battery (electricity); Controller (irrigation); Electrical engineering; Lead–acid battery; Voltage; Engineering; State of charge; Fault (geology); Grid; Automotive engineering; Computer science; Power (physics); Physics; Mathematics","score_opus":0.029421549065294688,"score_gpt":0.29666300153675124,"score_spread":0.26724145247145653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210509578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9450151,0.003645258,0.039168127,0.0005150874,0.00009235859,0.00012178518,0.00032029283,0.0004590049,0.0106629105],"genre_scores_gemma":[0.9983942,0.0003711547,0.00074582285,0.000016545557,0.000015126632,0.0000053211656,0.000057496552,0.000016282953,0.00037801242],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991279,0.00020805842,0.00008007281,0.00010659054,0.0003792131,0.00009814881],"domain_scores_gemma":[0.9945194,0.0030416343,0.00081881933,0.00017324487,0.0013404145,0.00010648347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069472275,0.0005860659,0.00047719546,0.0008786689,0.0004961102,0.0012686411,0.0003447991,0.0004167755,0.002242467],"category_scores_gemma":[0.0062310053,0.00022729656,0.00030159758,0.000909604,0.00045952442,0.0012101613,0.00044192895,0.00039723032,0.00038773773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016189397,0.00023069567,0.18088238,0.001481559,0.00033417455,0.0040829754,0.0016535072,0.57844913,0.058638822,0.00635658,0.0032568295,0.16301441],"study_design_scores_gemma":[0.000081496226,0.0012947081,0.2785596,0.00029839348,0.0007301294,0.0025206215,0.0031668167,0.6267369,0.06718418,0.008214767,0.01104628,0.00016620664],"about_ca_topic_score_codex":0.00487941,"about_ca_topic_score_gemma":0.00496616,"teacher_disagreement_score":0.00487941,"about_ca_system_score_codex":0.00094254146,"about_ca_system_score_gemma":0.000431461,"threshold_uncertainty_score":0.009702027},"labels":[],"label_agreement":null},{"id":"W4210567281","doi":"10.1038/s41928-021-00710-w","title":"The success of electric mobility will depend on power electronics","year":2022,"lang":"en","type":"article","venue":"Nature Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Electronics; Power electronics; Power (physics); Engineering physics; Electric power; Electrical engineering; Engineering; Physics; Voltage","score_opus":0.0034622175660062185,"score_gpt":0.247718693808489,"score_spread":0.24425647624248276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210567281","genre_codex":"other","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049074132,0.07554553,0.054301642,0.23650002,0.021476941,0.00012677196,0.0013106104,0.00071284315,0.5609514],"genre_scores_gemma":[0.6111955,0.07155374,0.023011371,0.020254191,0.009456924,0.00018348184,0.00077208306,0.0004405797,0.26313215],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99949825,0.000054836073,0.000020730977,0.0000748301,0.00022438212,0.0001269919],"domain_scores_gemma":[0.9975017,0.00075748714,0.00020542846,0.00024083671,0.0009360642,0.00035847456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015222598,0.0007017098,0.0005485793,0.0005436564,0.00112595,0.003405924,0.00075833505,0.0029093744,0.027411148],"category_scores_gemma":[0.0041734357,0.00020400502,0.0004431059,0.00044523666,0.0031062963,0.007120434,0.0015358134,0.0030442276,0.01194286],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017170524,0.00017580729,0.0012311983,0.0004953708,0.00005663685,0.00020282516,0.00019782197,0.0018448569,0.020052053,0.8135371,0.05033601,0.111698695],"study_design_scores_gemma":[0.00003566637,0.00025968792,0.0015406836,0.00032490678,0.000029016386,0.0002663858,0.000505973,0.0013663948,0.008338004,0.32302412,0.66423875,0.0000703947],"about_ca_topic_score_codex":0.001148664,"about_ca_topic_score_gemma":0.0007972236,"teacher_disagreement_score":0.027411148,"about_ca_system_score_codex":0.0010752195,"about_ca_system_score_gemma":0.001202685,"threshold_uncertainty_score":0.09169936},"labels":[],"label_agreement":null},{"id":"W4210776654","doi":"10.3390/en15031185","title":"A Convolutional Neural Network Approach for Estimation of Li-Ion Battery State of Health from Charge Profiles","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Canada Excellence Research Chairs, Government of Canada; Nvidia","keywords":"State of charge; Battery (electricity); Convolutional neural network; Computer science; Range (aeronautics); Voltage; State of health; Noise (video); Power (physics); Artificial neural network; Artificial intelligence; Algorithm; Real-time computing; Electrical engineering; Engineering; Physics","score_opus":0.02336942800946794,"score_gpt":0.26206953440424224,"score_spread":0.2387001063947743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210776654","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11353051,0.0009773618,0.87967396,0.00024478324,0.00010794148,0.00005374569,0.0004151207,0.0013807565,0.0036157803],"genre_scores_gemma":[0.9294768,0.0003771884,0.06475803,0.0000934362,0.000034603985,0.000050701987,0.0005585906,0.000030606312,0.004620177],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999205,0.000006557546,0.000004642136,0.00002746764,0.000023681681,0.000017147779],"domain_scores_gemma":[0.99988675,0.000027112541,0.000015230049,0.000012195501,0.000053423893,0.000005329929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023006386,0.000476048,0.00022995792,0.00033191626,0.00014389853,0.00031347026,0.0005777736,0.000373354,0.00076770596],"category_scores_gemma":[0.0006987866,0.0001904629,0.00024818254,0.00030232014,0.0001489488,0.00045704813,0.00032605694,0.0004600427,0.00019841413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016498416,0.000084858075,0.0053506866,0.00007476945,0.000093391965,0.00013930499,0.000047874175,0.68477464,0.024744367,0.0035272862,0.00207585,0.2789219],"study_design_scores_gemma":[0.0000013510305,0.000010684856,0.0007551742,0.0000033258952,0.00000749352,0.0000151182685,0.000003295497,0.9951024,0.003166418,0.0005747443,0.0003561354,0.000003820838],"about_ca_topic_score_codex":0.016794063,"about_ca_topic_score_gemma":0.020575598,"teacher_disagreement_score":0.016794063,"about_ca_system_score_codex":0.00073779584,"about_ca_system_score_gemma":0.00055023364,"threshold_uncertainty_score":0.03339261},"labels":[],"label_agreement":null},{"id":"W4211106985","doi":"10.1109/vppc53923.2021.9699317","title":"Real time Performance Estimation for Energy Management of a Fuel Cell Hybrid Electric Vehicle","year":2021,"lang":"en","type":"article","venue":"2021 IEEE Vehicle Power and Propulsion Conference (VPPC)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Energy management; Automotive engineering; Battery (electricity); Electric vehicle; Reliability (semiconductor); Computer science; Energy consumption; Fuel cells; Energy (signal processing); Energy management system; Fuel efficiency; Identification (biology); Reliability engineering; Engineering; Electrical engineering; Power (physics)","score_opus":0.011089524547821649,"score_gpt":0.23637993687324804,"score_spread":0.2252904123254264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211106985","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18101507,0.0004009175,0.81290406,0.0001845731,0.000058958067,0.000036722624,0.000086012034,0.0017120714,0.0036016481],"genre_scores_gemma":[0.98515713,0.000078785124,0.013662499,0.000013638076,0.000008580176,0.000013298806,0.00006652328,0.000022330967,0.0009772043],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983454,0.000034496752,0.000008130391,0.000039282135,0.000068198126,0.000015364485],"domain_scores_gemma":[0.9998281,0.000058968304,0.0000308375,0.00002210114,0.00005476865,0.000005053453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027003596,0.00047904742,0.0002389904,0.0002658209,0.00014290349,0.00047506523,0.00023528181,0.00029536994,0.00077379146],"category_scores_gemma":[0.0009436426,0.00010767538,0.00012426113,0.00014313137,0.00011774145,0.00039981314,0.00015454041,0.00031321487,0.00032626654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040195638,0.00015798469,0.0052018883,0.000158442,0.00006869066,0.00012529574,0.00020283158,0.48013034,0.16590932,0.0024931931,0.001507054,0.34364298],"study_design_scores_gemma":[0.000007230613,0.00014954491,0.0031121962,0.0000073924953,0.000012497991,0.00003250598,0.00002454963,0.9683252,0.026693976,0.0004346918,0.0011869353,0.000013283339],"about_ca_topic_score_codex":0.0024736347,"about_ca_topic_score_gemma":0.0023356671,"teacher_disagreement_score":0.0024736347,"about_ca_system_score_codex":0.0002489715,"about_ca_system_score_gemma":0.00023017947,"threshold_uncertainty_score":0.0049185157},"labels":[],"label_agreement":null},{"id":"W4211166753","doi":"10.1002/ente.202100942","title":"Battery Health Diagnosis Approach Integrating Physics‐Based Modeling with Electrochemical Impedance Spectroscopy","year":2022,"lang":"en","type":"article","venue":"Energy Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Battery (electricity); Dielectric spectroscopy; Lithium iron phosphate; Cobalt; Equivalent circuit; Electrochemical cell; Electrochemistry; Electrical impedance; Materials science; Scalability; Ohmic contact; Computer science; Voltage; Electrical engineering; Engineering; Nanotechnology; Chemistry; Physics; Electrode; Metallurgy","score_opus":0.010678596266864276,"score_gpt":0.2420902918445856,"score_spread":0.23141169557772134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211166753","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01600386,0.0003037128,0.976403,0.00020858648,0.00004999959,0.00011013656,0.00016275686,0.0010475639,0.0057104053],"genre_scores_gemma":[0.77305925,0.0015120938,0.2135814,0.00029353925,0.00007830718,0.00048194613,0.0004239088,0.0001327139,0.010436856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984384,0.000014616246,0.000007764992,0.000030793282,0.00009272608,0.000010225263],"domain_scores_gemma":[0.9998827,0.000028548604,0.000015001678,0.00001980229,0.000048912803,0.0000051002585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024121878,0.00067770784,0.00047062518,0.0006729468,0.00026205214,0.0006496775,0.0012359134,0.0008221388,0.0014393657],"category_scores_gemma":[0.0005377483,0.00036262965,0.00061261124,0.0002463465,0.00028464792,0.0013457579,0.00051364774,0.00057129527,0.0006227176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005087061,0.00019934305,0.0019831122,0.0002345021,0.0001098607,0.00024120187,0.00012464079,0.78179795,0.10001266,0.01640719,0.0017644702,0.09707429],"study_design_scores_gemma":[0.000005514406,0.00003474251,0.0003149187,0.0000072118537,0.000014486631,0.000061015548,0.000011656266,0.9857179,0.008401644,0.0032883007,0.0021312803,0.000011353783],"about_ca_topic_score_codex":0.0021130273,"about_ca_topic_score_gemma":0.0024162934,"teacher_disagreement_score":0.0021130273,"about_ca_system_score_codex":0.00062991347,"about_ca_system_score_gemma":0.00090027635,"threshold_uncertainty_score":0.004815161},"labels":[],"label_agreement":null},{"id":"W4211217734","doi":"10.3390/en15031234","title":"State of Health Estimation of Lithium-Ion Batteries in Electric Vehicles under Dynamic Load Conditions","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"State of health; State of charge; Computer science; Control theory (sociology); Nonlinear system; Artificial neural network; Classifier (UML); Voltage; Equivalent circuit; Battery (electricity); Engineering; Artificial intelligence; Power (physics); Electrical engineering","score_opus":0.011707942481382986,"score_gpt":0.2804423582623635,"score_spread":0.26873441578098056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211217734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87644666,0.0006217086,0.11544487,0.00016117674,0.000056946457,0.000049307124,0.00037985545,0.0013808921,0.0054585272],"genre_scores_gemma":[0.99749005,0.00008085835,0.0018026114,0.000011892431,0.0000031967104,0.000013189331,0.00010317794,0.0000074495347,0.00048756797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987066,0.000016684351,0.000010674748,0.000034629287,0.00005384229,0.000013397907],"domain_scores_gemma":[0.9997974,0.000061546394,0.000031992455,0.00002006984,0.000082175524,0.000006990391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020383508,0.00045430224,0.00031664665,0.00047538892,0.00020726639,0.0005141478,0.00040982093,0.00035529718,0.0006352536],"category_scores_gemma":[0.00073846936,0.00015697518,0.00019423166,0.00024474633,0.0001556834,0.0005547855,0.0002776953,0.00022903846,0.00029100556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008163869,0.00028545634,0.059822008,0.00031926145,0.000094860035,0.000513477,0.00041434626,0.54246277,0.09903296,0.00083310425,0.0020088125,0.29339656],"study_design_scores_gemma":[0.0000064422115,0.0000888162,0.011581597,0.000015554946,0.000013089425,0.00006294325,0.000076566765,0.95933914,0.027744595,0.00048440674,0.0005680831,0.000018733488],"about_ca_topic_score_codex":0.00442759,"about_ca_topic_score_gemma":0.0046393946,"teacher_disagreement_score":0.00442759,"about_ca_system_score_codex":0.00044224798,"about_ca_system_score_gemma":0.00023059773,"threshold_uncertainty_score":0.008803606},"labels":[],"label_agreement":null},{"id":"W4212824421","doi":"10.21105/joss.04051","title":"liionpack: A Python package for simulating packs of batteries with PyBaMM","year":2022,"lang":"en","type":"article","venue":"The Journal of Open Source Software","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation Cluster (Canada)","funders":"Oak Ridge National Laboratory; Office of Electricity; Faraday Institution; U.S. Department of Energy","keywords":"Python (programming language); R package; Computer graphics (images); Computer science; Programming language","score_opus":0.024231855413840507,"score_gpt":0.2906685520824362,"score_spread":0.2664366966685957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212824421","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013698987,0.0018967482,0.5893596,0.0011636129,0.0010871426,0.00086015975,0.05667585,0.28884494,0.04641296],"genre_scores_gemma":[0.13435431,0.0037209322,0.6039048,0.00214787,0.00030474566,0.004959802,0.07273054,0.13339594,0.04448113],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995365,0.00009821985,0.00005236464,0.00006725677,0.00015237926,0.00009328777],"domain_scores_gemma":[0.9988887,0.00059725245,0.00007153925,0.00012585368,0.0002015262,0.00011516515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012934136,0.0019644997,0.0019831462,0.0010330003,0.0009950812,0.0020387482,0.0055010533,0.0021826313,0.1140914],"category_scores_gemma":[0.00410394,0.001840554,0.0024644004,0.0012677641,0.00089816743,0.0025797065,0.002780806,0.0044525373,0.02460004],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047493368,0.00037215208,0.0059759202,0.0052927765,0.00075576035,0.00076832465,0.00062106707,0.4664454,0.0073288674,0.06138876,0.37003922,0.08053689],"study_design_scores_gemma":[0.00036039946,0.00007704519,0.0007925261,0.00035344335,0.000071177936,0.00018071006,0.00009019073,0.7353156,0.004640689,0.03493369,0.22307022,0.00011431727],"about_ca_topic_score_codex":0.010719935,"about_ca_topic_score_gemma":0.012633666,"teacher_disagreement_score":0.1140914,"about_ca_system_score_codex":0.0010258792,"about_ca_system_score_gemma":0.00294425,"threshold_uncertainty_score":0.38167375},"labels":[],"label_agreement":null},{"id":"W4212921244","doi":"10.3390/electronics11040562","title":"Power Electronics Converter Technology Integrated Energy Storage Management in Electric Vehicles: Emerging Trends, Analytical Assessment and Future Research Opportunities","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Universiti Kebangsaan Malaysia","keywords":"Energy storage; Converters; Power electronics; Power management; Battery (electricity); Engineering; Energy management; Controller (irrigation); Computer science; Power (physics); Reliability engineering; Automotive engineering; Electrical engineering; Systems engineering; Voltage; Energy (signal processing)","score_opus":0.025288917427078388,"score_gpt":0.3167674664109364,"score_spread":0.291478548983858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212921244","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018079204,0.9284261,0.02441302,0.0031730612,0.00053507736,0.00007032926,0.00032631884,0.00011485003,0.024862193],"genre_scores_gemma":[0.09423726,0.8920874,0.009034823,0.00032660863,0.00053739594,0.000043321157,0.00033525514,0.000020502417,0.0033774737],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994179,0.0001011405,0.000064111315,0.00008646765,0.0002757158,0.000054713455],"domain_scores_gemma":[0.99811697,0.00094738696,0.00018450357,0.0000492677,0.0006607012,0.000041150255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012750723,0.0006905303,0.0006339904,0.005342288,0.00029884037,0.0026128714,0.00057717616,0.0005938287,0.0022405514],"category_scores_gemma":[0.0023937796,0.00026854326,0.0006486498,0.0072146463,0.00046315687,0.0032195817,0.00053518056,0.00061300956,0.0004452076],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000820513,0.000120449324,0.00474896,0.01641513,0.00016529829,0.00037840658,0.0003731298,0.009475989,0.0041657947,0.049129713,0.012516534,0.90242857],"study_design_scores_gemma":[0.000032385316,0.0009186443,0.02023878,0.024777079,0.0010794431,0.0024887703,0.004953142,0.06550694,0.014928139,0.13095365,0.73389125,0.00023174217],"about_ca_topic_score_codex":0.0016272252,"about_ca_topic_score_gemma":0.0019764013,"teacher_disagreement_score":0.005342288,"about_ca_system_score_codex":0.00085714855,"about_ca_system_score_gemma":0.0017573175,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4213350709","doi":"10.3390/batteries8020019","title":"Concept Review of a Cloud-Based Smart Battery Management System for Lithium-Ion Batteries: Feasibility, Logistics, and Functionality","year":2022,"lang":"en","type":"review","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":238,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Cloud computing; Computer science; Battery (electricity); Usability; Renewable energy; Energy storage; Reliability (semiconductor); Energy management; Systems engineering; Reliability engineering; Engineering; Energy (signal processing); Electrical engineering; Power (physics)","score_opus":0.08951759011261019,"score_gpt":0.33623100961819846,"score_spread":0.24671341950558828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213350709","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00074993377,0.9855702,0.0024341457,0.00056933763,0.00071345584,0.00006050544,0.000119981436,0.000038335173,0.009744115],"genre_scores_gemma":[0.0035670279,0.98842376,0.0024430112,0.00051144016,0.00030778337,0.000067614834,0.00015533424,0.000009548175,0.004514412],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997342,0.000029907304,0.000039184848,0.00005195423,0.000121472316,0.000023221235],"domain_scores_gemma":[0.9996724,0.00011290324,0.00005354525,0.000014182613,0.00012370442,0.000023314771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044869955,0.0009592852,0.0008779872,0.0021733183,0.00038660277,0.001062773,0.0010178966,0.0011016022,0.0057877763],"category_scores_gemma":[0.0005636063,0.0004803746,0.0008574341,0.002193088,0.00033443735,0.0021501346,0.00058214186,0.0012544504,0.0029878872],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085694395,0.00014732742,0.00023032098,0.04312824,0.00011589718,0.00038844993,0.00013375889,0.0012110153,0.012546937,0.021650568,0.040432945,0.87992877],"study_design_scores_gemma":[0.000007566132,0.00014074492,0.00038058092,0.0024095185,0.00009303488,0.0008250381,0.000041059313,0.0003181697,0.0017853824,0.0017134098,0.99226296,0.000022587004],"about_ca_topic_score_codex":0.0010919501,"about_ca_topic_score_gemma":0.0012808132,"teacher_disagreement_score":0.0057877763,"about_ca_system_score_codex":0.0004966872,"about_ca_system_score_gemma":0.0012771216,"threshold_uncertainty_score":0.019362092},"labels":[],"label_agreement":null},{"id":"W4213439732","doi":"10.1049/rpg2.12376","title":"Optimal battery cycling strategies in workplaces with electric vehicle chargers, energy storage systems and renewable energy generation","year":2022,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island; Saint Mary's University","funders":"","keywords":"Cycling; Automotive engineering; Renewable energy; Battery (electricity); Energy storage; Electric vehicle; Computer science; Electrical engineering; Environmental science; Engineering; Physics; Power (physics)","score_opus":0.012704638822467085,"score_gpt":0.21967729709782446,"score_spread":0.20697265827535738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213439732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88752925,0.00020955736,0.09652378,0.00032134136,0.0000312954,0.00011891004,0.00008936544,0.00006337201,0.015113009],"genre_scores_gemma":[0.99671775,0.00003252526,0.002409932,0.0000052462374,0.0000015978619,0.000014265036,0.000011139518,0.0000026073524,0.0008049768],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972206,0.00012638222,0.000011391106,0.000029136825,0.00003576833,0.00007518668],"domain_scores_gemma":[0.99948835,0.00025273225,0.00006035758,0.000037498823,0.000086487926,0.000074503805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007919107,0.00037301762,0.00050461484,0.00027352653,0.00041143232,0.00091982796,0.00063923554,0.00076504506,0.0029005061],"category_scores_gemma":[0.0015178474,0.00021632737,0.0003291028,0.00018544983,0.00033155194,0.000597846,0.00088458403,0.0004313436,0.00024032278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046904886,0.00043515896,0.0046457252,0.00011964361,0.000051653962,0.00066259253,0.00017985591,0.95258045,0.0070970277,0.009978278,0.000742786,0.023037817],"study_design_scores_gemma":[0.000030527208,0.00038532165,0.0018008419,0.000022574102,0.000022794371,0.000053462692,0.0006066702,0.9897914,0.0019472477,0.004717164,0.0006061529,0.000015903024],"about_ca_topic_score_codex":0.0038932317,"about_ca_topic_score_gemma":0.004535182,"teacher_disagreement_score":0.0038932317,"about_ca_system_score_codex":0.0005360707,"about_ca_system_score_gemma":0.0006108074,"threshold_uncertainty_score":0.009703159},"labels":[],"label_agreement":null},{"id":"W4214654379","doi":"10.1109/tte.2018.2864440","title":"IEEE Transactions on Transportation Electrification","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Council for Research in the Social Sciences, Columbia University; ShanghaiTech University; Oak Ridge National Laboratory; Michigan Technological University; McMaster University","keywords":"Electrification; Business; Transport engineering; Computer security; Computer science; Engineering; Electricity; Electrical engineering","score_opus":0.017216477680690304,"score_gpt":0.2626029933580934,"score_spread":0.2453865156774031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214654379","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033331003,0.03604284,0.19683936,0.0148134725,0.060624402,0.0001319052,0.0011652862,0.0008234757,0.65622824],"genre_scores_gemma":[0.32529896,0.027311848,0.030983087,0.001266071,0.003741096,0.0000912828,0.0017380962,0.00029505114,0.60927457],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997323,0.00004942896,0.000017521204,0.000032801014,0.00013764578,0.000030315618],"domain_scores_gemma":[0.99952745,0.000060246188,0.000015006262,0.00007753859,0.00029652374,0.000023202401],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00055273226,0.00057547935,0.0006069966,0.00079354155,0.00047902885,0.0018592081,0.00056634535,0.0010153624,0.039875746],"category_scores_gemma":[0.0008768273,0.00015014004,0.00045369167,0.0010804861,0.0004455319,0.0011409683,0.000638271,0.00075581495,0.006629019],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022089042,0.00015807658,0.0019219902,0.00044119518,0.0001544414,0.00032833667,0.00014164975,0.025386488,0.009693307,0.128391,0.25796163,0.57520103],"study_design_scores_gemma":[0.000012346291,0.0000917541,0.002778886,0.00013291021,0.000088372115,0.0003562167,0.0002773756,0.030066298,0.0043722554,0.042544737,0.9192456,0.000033313285],"about_ca_topic_score_codex":0.0029876842,"about_ca_topic_score_gemma":0.004815302,"teacher_disagreement_score":0.96012425,"about_ca_system_score_codex":0.00062607933,"about_ca_system_score_gemma":0.0007142492,"threshold_uncertainty_score":0.13339764},"labels":[],"label_agreement":null},{"id":"W4214826226","doi":"10.1049/gtd2.12439","title":"Fuel cell‐based topologies and multi‐input DC–DC power converters for hybrid electric vehicles: A comprehensive review","year":2022,"lang":"en","type":"review","venue":"IET Generation Transmission & Distribution","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Université Laval","keywords":"Converters; Network topology; Power (physics); Fuel cells; Electrical engineering; Computer science; Electronic engineering; Engineering; Topology (electrical circuits); Voltage; Physics; Computer network","score_opus":0.06159526933985669,"score_gpt":0.3225317589315784,"score_spread":0.2609364895917217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214826226","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004902982,0.99553066,0.0006716643,0.00012094034,0.00016581964,0.000010608191,0.00004116774,0.000014344794,0.0029545482],"genre_scores_gemma":[0.0024231733,0.99548006,0.0006109807,0.000086118416,0.0001123214,0.000009058049,0.00007872446,0.000003868706,0.0011957459],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999861,0.000015380756,0.000019814745,0.000030641888,0.000057888697,0.000015271602],"domain_scores_gemma":[0.9997763,0.000093761875,0.000031173626,0.000008694837,0.000078777,0.000011198749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003418387,0.00081773836,0.0008544392,0.00247339,0.00021603241,0.00089124823,0.00067687355,0.0007211325,0.0048614205],"category_scores_gemma":[0.00049577403,0.00036925153,0.0005905058,0.0027875886,0.00018422425,0.0013826755,0.0004159291,0.00072136,0.0019414409],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052326675,0.000096303986,0.00022090501,0.028627366,0.00009347465,0.00018020133,0.0000676663,0.0015872968,0.0036687206,0.0062264516,0.017830536,0.94134873],"study_design_scores_gemma":[0.000008186527,0.00016301511,0.0007943461,0.004912203,0.0002135773,0.0009155633,0.00008750328,0.00074093434,0.0020196242,0.0019876757,0.9881251,0.000032247746],"about_ca_topic_score_codex":0.0008916394,"about_ca_topic_score_gemma":0.0011007127,"teacher_disagreement_score":0.0048614205,"about_ca_system_score_codex":0.00027790427,"about_ca_system_score_gemma":0.0006767281,"threshold_uncertainty_score":0.016263068},"labels":[],"label_agreement":null},{"id":"W4214886143","doi":"10.1109/tii.2022.3155597","title":"A Pattern-Driven Stochastic Degradation Model for the Prediction of Remaining Useful Life of Rechargeable Batteries","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Computer science; Degradation (telecommunications); Stochastic process; Process (computing); Overfitting; State of health; Gaussian process; Wiener process; State of charge; Markov process; Engineering; Artificial intelligence; Mathematical optimization; Reliability engineering; Gaussian; Artificial neural network; Power (physics); Mathematics; Statistics","score_opus":0.10517021833501448,"score_gpt":0.2712437061375294,"score_spread":0.1660734878025149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214886143","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.107909925,0.0009037845,0.8883221,0.000300966,0.000083250445,0.00005623812,0.00025650352,0.0005734636,0.0015937766],"genre_scores_gemma":[0.98759043,0.0003443884,0.009675566,0.000056392604,0.000027028429,0.000065056964,0.0001673079,0.000025892341,0.0020477676],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996094,0.00007679532,0.000028718216,0.00013134629,0.00008661017,0.00006708685],"domain_scores_gemma":[0.9992968,0.00035643237,0.0001119285,0.000030981042,0.00017476676,0.00002904366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008867841,0.0008084776,0.0010388374,0.0005022414,0.00021793536,0.0006924084,0.0014877525,0.0011841627,0.0009606498],"category_scores_gemma":[0.002346463,0.0003749264,0.00083738,0.0005642618,0.00052215863,0.0007465705,0.0005292514,0.0011299681,0.00020554182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032262655,0.000019366207,0.0010443082,0.00003105224,0.000018626253,0.0000797414,0.000031387845,0.9878647,0.0011715416,0.0025836218,0.00025672076,0.006866644],"study_design_scores_gemma":[0.0000010842934,0.0000052211485,0.000104959014,9.923407e-7,0.000002334739,0.0000055537025,0.000001076737,0.9994499,0.00006818717,0.0003314965,0.000027442777,0.0000018029082],"about_ca_topic_score_codex":0.013069814,"about_ca_topic_score_gemma":0.0072838697,"teacher_disagreement_score":0.013069814,"about_ca_system_score_codex":0.0007039805,"about_ca_system_score_gemma":0.0006649335,"threshold_uncertainty_score":0.025987446},"labels":[],"label_agreement":null},{"id":"W4220655607","doi":"10.1016/j.epsr.2022.107955","title":"Impact of battery degradation on energy cost and carbon footprint of smart homes","year":2022,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island; Saint Mary's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Carbon footprint; Battery (electricity); Battery pack; Automotive engineering; Degradation (telecommunications); Integer programming; Computer science; Reliability engineering; Footprint; Energy storage; Mathematical optimization; Engineering; Greenhouse gas; Electrical engineering; Mathematics; Algorithm; Power (physics)","score_opus":0.028720904778968152,"score_gpt":0.3124239041684311,"score_spread":0.2837029993894629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220655607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928813,0.00033344098,0.0008386356,0.00020375084,0.000025863726,0.000009866732,0.0011194889,0.0000554976,0.004532017],"genre_scores_gemma":[0.9990809,0.0000499502,0.00009294853,0.0000145985205,0.0000038305216,0.0000023682621,0.00024111428,0.0000065803447,0.00050767703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993687,0.00009972416,0.000028056369,0.000079303325,0.00024128196,0.00018292347],"domain_scores_gemma":[0.9977617,0.0009087283,0.00020632087,0.00016005366,0.00086791295,0.000095172305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000623956,0.00032116575,0.0003858798,0.00047079587,0.0003412947,0.0009085239,0.00040014694,0.00071042223,0.004749336],"category_scores_gemma":[0.0022959558,0.00015143029,0.0004439608,0.00097235496,0.00040330927,0.0012059566,0.00035555655,0.00040658916,0.00059964985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007151434,0.0006448794,0.4013701,0.00049322547,0.00051748153,0.0032411332,0.00050597906,0.42064682,0.0418312,0.008644394,0.009426938,0.10552641],"study_design_scores_gemma":[0.00008308976,0.0016446464,0.6213512,0.00009764714,0.00049076305,0.0025271538,0.0032916225,0.29521987,0.057422318,0.0077820476,0.009960032,0.0001295874],"about_ca_topic_score_codex":0.009880835,"about_ca_topic_score_gemma":0.009905193,"teacher_disagreement_score":0.009880835,"about_ca_system_score_codex":0.0011358659,"about_ca_system_score_gemma":0.00047215138,"threshold_uncertainty_score":0.019646645},"labels":[],"label_agreement":null},{"id":"W4220702940","doi":"10.1109/tte.2022.3162164","title":"Online Estimations of Li-Ion Battery SOC and SOH Applicable to Partial Charge/Discharge","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Datasheet; State of charge; Battery (electricity); State of health; Lithium-ion battery; Equivalent circuit; Voltage; Open-circuit voltage; Computer science; Engineering; Electronic engineering; Electrical engineering; Power (physics)","score_opus":0.016904132627465727,"score_gpt":0.2622043443908283,"score_spread":0.24530021176336256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220702940","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4471654,0.0036496273,0.5247031,0.0003225123,0.00024328192,0.00019833712,0.0060186875,0.008304966,0.009394062],"genre_scores_gemma":[0.956986,0.0007806599,0.034311183,0.00006873886,0.00006307749,0.00012184679,0.005154041,0.00010862307,0.0024057876],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997019,0.00002670175,0.00002165589,0.00007862254,0.00013936863,0.00003174082],"domain_scores_gemma":[0.9993937,0.00013637311,0.000103029786,0.00009362129,0.00025128393,0.000021948026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030930937,0.00089353544,0.00069376343,0.00093960814,0.00021897137,0.0006530903,0.00069625024,0.0005154671,0.001085978],"category_scores_gemma":[0.0021487365,0.00019618527,0.0003275265,0.0005721113,0.00019683993,0.00096111814,0.0005606902,0.00052109855,0.0007060718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007273168,0.00029151313,0.032088332,0.00076386676,0.00013520828,0.00038490118,0.00020847436,0.30094078,0.042098805,0.0012020257,0.012152928,0.60900575],"study_design_scores_gemma":[0.000019593483,0.00013331411,0.015618911,0.000035078643,0.000027282565,0.00023311027,0.0000791057,0.9525133,0.026093248,0.0016169482,0.0035950278,0.00003514448],"about_ca_topic_score_codex":0.0041885916,"about_ca_topic_score_gemma":0.0061516273,"teacher_disagreement_score":0.0041885916,"about_ca_system_score_codex":0.00035334443,"about_ca_system_score_gemma":0.00047842425,"threshold_uncertainty_score":0.008328438},"labels":[],"label_agreement":null},{"id":"W4220704518","doi":"10.1002/ente.202101117","title":"Thermal Modeling and Analysis of an Electric Vehicle Charging System","year":2022,"lang":"en","type":"article","venue":"Energy Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Office of the Chief Medical Examiner; Ontario Tech University","funders":"","keywords":"Air conditioning; Battery (electricity); Automotive engineering; Environmental science; Battery pack; Water cooling; Thermal; Circulation (fluid dynamics); Air cooling; Simulation; Nuclear engineering; Marine engineering; Engineering; Meteorology; Mechanical engineering; Aerospace engineering; Thermodynamics; Physics; Power (physics)","score_opus":0.007645221402165531,"score_gpt":0.22171976050936507,"score_spread":0.21407453910719954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220704518","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4001618,0.0005235805,0.52759826,0.000558525,0.00015831001,0.00018491273,0.0006166662,0.00084887084,0.06934898],"genre_scores_gemma":[0.9800131,0.00017704867,0.0065068463,0.000038507493,0.000014915285,0.00008756924,0.00013455952,0.00004897259,0.012978525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998535,0.00002799144,0.0000061730875,0.000027629156,0.000055398483,0.000029189274],"domain_scores_gemma":[0.9999213,0.000027674305,0.000009700301,0.000008140096,0.000026690346,0.0000065050685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017234315,0.00050156785,0.0005446292,0.0003629115,0.0006609764,0.0008359625,0.00054995465,0.00068705645,0.003006985],"category_scores_gemma":[0.00034005826,0.00030598423,0.0006473353,0.0003166714,0.0005522686,0.00059212523,0.00054220046,0.00047029447,0.00042496825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020372647,0.000012442283,0.0003450438,0.000013647541,0.0000064349833,0.000041814437,0.000024225046,0.9927867,0.003003632,0.0012492656,0.000156251,0.0023401491],"study_design_scores_gemma":[0.0000023992343,0.000008181746,0.00014918283,0.0000011819184,0.000001867845,0.000007635732,0.000008503639,0.99882025,0.00040885102,0.00026231937,0.00032675237,0.000002828197],"about_ca_topic_score_codex":0.015766023,"about_ca_topic_score_gemma":0.0055032503,"teacher_disagreement_score":0.015766023,"about_ca_system_score_codex":0.0007365756,"about_ca_system_score_gemma":0.0010277354,"threshold_uncertainty_score":0.031348526},"labels":[],"label_agreement":null},{"id":"W4220710663","doi":"10.3390/en15062230","title":"Health Monitoring of Lithium-Ion Batteries Using Dual Filters","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Guelph","funders":"","keywords":"Robustness (evolution); Mean squared error; Battery (electricity); Control theory (sociology); Dual (grammatical number); Lithium-ion battery; State of charge; Extended Kalman filter; Kalman filter; State of health; Lithium titanate; Computer science; Mathematics; Chemistry; Statistics; Physics","score_opus":0.031620685755008225,"score_gpt":0.2947435504620753,"score_spread":0.2631228647070671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220710663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56486046,0.0009339651,0.42654994,0.0002671691,0.00015476547,0.000094628616,0.0004965249,0.0023263788,0.004316202],"genre_scores_gemma":[0.9770145,0.00014145907,0.021552797,0.000041536496,0.000015775402,0.00004045055,0.00020623948,0.000011303465,0.0009760193],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996568,0.000029123144,0.000025920503,0.00009848062,0.00015217219,0.000037448783],"domain_scores_gemma":[0.999617,0.000102598584,0.000048126807,0.000032197182,0.0001842881,0.00001575382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004243596,0.0006080006,0.00054364814,0.0007384623,0.0002546886,0.00058870274,0.00060224533,0.0006739493,0.0007503594],"category_scores_gemma":[0.0012660862,0.00018762972,0.00035295342,0.00039362942,0.00015279528,0.00074188755,0.00039731953,0.0003477109,0.00026912792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018908897,0.0006240216,0.05071988,0.00056614383,0.0002937012,0.0003940293,0.00029973566,0.22354822,0.14724126,0.0013345471,0.0024458847,0.5706417],"study_design_scores_gemma":[0.000040118204,0.00033560555,0.015590016,0.000022189863,0.000064141845,0.00012542888,0.000060816725,0.9432011,0.038109954,0.0005990178,0.0018138513,0.000037730857],"about_ca_topic_score_codex":0.0052171354,"about_ca_topic_score_gemma":0.007008085,"teacher_disagreement_score":0.0052171354,"about_ca_system_score_codex":0.00041257683,"about_ca_system_score_gemma":0.00037952492,"threshold_uncertainty_score":0.010373533},"labels":[],"label_agreement":null},{"id":"W4220786815","doi":"10.1155/2022/8653547","title":"Active Equalization Strategy for Lithium-Ion Battery Packs Based on Multilayer Dual Interleaved Inductor Circuits in Electric Vehicles","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Key Research and Development Projects of Shaanxi Province","keywords":"Equalization (audio); Battery (electricity); State of charge; Inductor; Electronic circuit; Voltage; Electronic engineering; Computer science; Equivalent circuit; Engineering; Electrical engineering; Control theory (sociology); Power (physics); Channel (broadcasting)","score_opus":0.0275886958792218,"score_gpt":0.29217444467122333,"score_spread":0.26458574879200153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220786815","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34097064,0.0012923166,0.6349376,0.00020439755,0.00013688345,0.00008684519,0.00004345053,0.0014838917,0.020844],"genre_scores_gemma":[0.98725605,0.00012019757,0.010443662,0.000029830731,0.000011205092,0.000011006825,0.000016005126,0.000008938625,0.0021030689],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99993217,0.0000085897,0.000006002247,0.000016483253,0.000021860975,0.000014925216],"domain_scores_gemma":[0.99995315,0.000007368126,0.000008091886,0.000005952874,0.000021423142,0.000003918986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006997552,0.00022390982,0.00019148589,0.00023766473,0.00022932996,0.00032525716,0.00054735795,0.00018728153,0.0012557841],"category_scores_gemma":[0.00012088306,0.00010515658,0.0001714605,0.00018079333,0.00018580737,0.0005971865,0.00023478433,0.00016949672,0.0002145972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000671315,0.00023407611,0.0023363752,0.00033144813,0.00007195506,0.0004482586,0.00029608875,0.12778132,0.4745687,0.030028498,0.0025488578,0.36068314],"study_design_scores_gemma":[0.000030252808,0.00038432615,0.0011528691,0.000023528306,0.000073046685,0.00024761696,0.000080962716,0.8397223,0.1445724,0.004716114,0.00896964,0.000026917209],"about_ca_topic_score_codex":0.000909399,"about_ca_topic_score_gemma":0.0011809696,"teacher_disagreement_score":0.0012557841,"about_ca_system_score_codex":0.0002952438,"about_ca_system_score_gemma":0.00019856685,"threshold_uncertainty_score":0.004200995},"labels":[],"label_agreement":null},{"id":"W4220953890","doi":"10.1038/s41893-022-00864-1","title":"Charging sustainable batteries","year":2022,"lang":"en","type":"article","venue":"Nature Sustainability","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":210,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sustainable development; Sustainable growth rate; Business; Environmental economics; Engineering; Risk analysis (engineering); Economics; Political science; Finance","score_opus":0.004174628434507445,"score_gpt":0.25706110295344226,"score_spread":0.2528864745189348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220953890","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10640504,0.011895419,0.13077408,0.0055023404,0.0062300116,0.00029349714,0.0014117938,0.0033290668,0.7341588],"genre_scores_gemma":[0.7061746,0.0070606004,0.012597454,0.0015057592,0.00078174856,0.00017243058,0.0015748651,0.00057175016,0.26956084],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99955314,0.000027544045,0.000013178737,0.000058474467,0.0002899574,0.00005768848],"domain_scores_gemma":[0.99981934,0.000030535506,0.000007634649,0.000034734938,0.000088639914,0.000019071766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024194039,0.00044700087,0.0004123417,0.00056367135,0.0009919839,0.0017448515,0.00088656903,0.0011308462,0.025084201],"category_scores_gemma":[0.0007752861,0.00025594005,0.0003075759,0.0009404262,0.0004720672,0.0020288485,0.0014458472,0.00091331656,0.008339567],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034454625,0.00017984514,0.0014176371,0.0012415743,0.00007920491,0.0008008431,0.0005674808,0.009969853,0.1991154,0.2535941,0.07293462,0.4597549],"study_design_scores_gemma":[0.000041673527,0.00018195447,0.0009835827,0.00012940593,0.00003616587,0.0010357794,0.0004651706,0.019863535,0.18250509,0.10729494,0.6874095,0.00005316885],"about_ca_topic_score_codex":0.0003502257,"about_ca_topic_score_gemma":0.0006217263,"teacher_disagreement_score":0.025084201,"about_ca_system_score_codex":0.00070997415,"about_ca_system_score_gemma":0.0005300385,"threshold_uncertainty_score":0.083914995},"labels":[],"label_agreement":null},{"id":"W4221079999","doi":"10.1016/j.measurement.2022.111046","title":"Gated recurrent unit least-squares generative adversarial network for battery cycle life prediction","year":2022,"lang":"en","type":"article","venue":"Measurement","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Prognostics; Discriminator; Computer science; Perceptron; Battery (electricity); Set (abstract data type); Generator (circuit theory); Artificial intelligence; Data mining; Machine learning; Artificial neural network; Reliability engineering; Engineering; Detector","score_opus":0.0635894485596158,"score_gpt":0.26402432886505106,"score_spread":0.20043488030543527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221079999","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039286416,0.0006390479,0.95639735,0.00029229102,0.000101157,0.000027637752,0.0002743179,0.0010874262,0.0018944098],"genre_scores_gemma":[0.94706804,0.00029711155,0.04366422,0.00024072414,0.000064132684,0.00008393349,0.0006468973,0.00011442136,0.007820434],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979633,0.000055140106,0.000007574209,0.00006488355,0.00004383221,0.000032230364],"domain_scores_gemma":[0.9995152,0.00029343722,0.000044415177,0.000043290867,0.00008556809,0.00001812407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004854822,0.00065745565,0.00078339066,0.00026413988,0.00019513325,0.0004082011,0.0011196512,0.0008805719,0.0016735594],"category_scores_gemma":[0.0016342609,0.00038777303,0.0005003008,0.00040371082,0.00042523103,0.0005195296,0.0007271431,0.0012008819,0.0006186774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006466138,0.000022156344,0.000433825,0.000023881352,0.000026062871,0.0000393077,0.000020052414,0.9611603,0.001502638,0.0022393866,0.0012645066,0.033203173],"study_design_scores_gemma":[6.439176e-7,0.0000033079862,0.00004491451,9.953484e-7,0.0000016544973,0.0000027753683,7.270425e-7,0.99917287,0.00015742402,0.00056419,0.00004915017,0.0000012450627],"about_ca_topic_score_codex":0.007402972,"about_ca_topic_score_gemma":0.009432462,"teacher_disagreement_score":0.007402972,"about_ca_system_score_codex":0.00055853184,"about_ca_system_score_gemma":0.0004773044,"threshold_uncertainty_score":0.014719784},"labels":[],"label_agreement":null},{"id":"W4221127180","doi":"10.1016/j.est.2022.104404","title":"Pinacol hydrate as a novel thermal energy storage medium for electric vehicles","year":2022,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"JKA Foundation","keywords":"Pinacol; Hydrate; Thermal energy storage; Chemistry; Differential scanning calorimetry; Enthalpy; Dissociation (chemistry); Energy storage; Mass fraction; Thermodynamics; Organic chemistry; Catalysis","score_opus":0.013121452616343374,"score_gpt":0.24709838157313932,"score_spread":0.23397692895679595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221127180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9650266,0.008594738,0.009891186,0.0005577733,0.00034523316,0.000099378136,0.00032385386,0.00037586983,0.01478542],"genre_scores_gemma":[0.99309254,0.0013939575,0.0016487341,0.00008312099,0.000022982338,0.000022517585,0.0001083977,0.000015809259,0.0036119286],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999664,0.000005884749,0.0000016744189,0.000008259143,0.0000087853505,0.000008975781],"domain_scores_gemma":[0.99998724,0.0000023718849,0.0000025028744,0.0000014673113,0.0000023358027,0.000004034216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006674478,0.00015947325,0.00013208958,0.00013492533,0.0001459565,0.00024969134,0.00036375303,0.0002011656,0.0015430431],"category_scores_gemma":[0.000059969763,0.0000837592,0.00009229721,0.00008661835,0.00012607421,0.00047851316,0.00028772152,0.00024767526,0.00035031434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043697708,0.000051239935,0.00017228011,0.0005880371,0.000021132018,0.00026294193,0.000042603748,0.00068270415,0.97607124,0.0021843656,0.0011733397,0.018313145],"study_design_scores_gemma":[0.00003073464,0.00039110528,0.0005377577,0.000015892003,0.000028431352,0.00023205315,0.000051361498,0.003527416,0.98176575,0.00014568676,0.013257388,0.000016406855],"about_ca_topic_score_codex":0.00034947426,"about_ca_topic_score_gemma":0.00059804803,"teacher_disagreement_score":0.0015430431,"about_ca_system_score_codex":0.00012324665,"about_ca_system_score_gemma":0.00011231589,"threshold_uncertainty_score":0.0051620007},"labels":[],"label_agreement":null},{"id":"W4223620517","doi":"10.3390/electronics11081216","title":"A Machine Learning-Based Robust State of Health (SOH) Prediction Model for Electric Vehicle Batteries","year":2022,"lang":"en","type":"article","venue":"Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Memorial University of Newfoundland; Chongqing University","keywords":"State of health; Battery (electricity); Process (computing); Computer science; Electric vehicle; Big data; Artificial intelligence; Data-driven; Machine learning; Control engineering; Engineering; Data mining","score_opus":0.01663517099745321,"score_gpt":0.25077271644306026,"score_spread":0.23413754544560705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223620517","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.080064,0.0007750287,0.91093653,0.00046525392,0.000097563076,0.00011265449,0.00032374903,0.00075204164,0.006473255],"genre_scores_gemma":[0.9788777,0.00037413562,0.016820055,0.00006357412,0.000027989787,0.00017579294,0.0002468052,0.000024104693,0.003389883],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978215,0.000037977054,0.000017289572,0.00007653979,0.000055943685,0.000030219042],"domain_scores_gemma":[0.99962187,0.00017829855,0.000047813486,0.000015322035,0.00012687626,0.000009837349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058094127,0.00053174555,0.0007292791,0.0004902462,0.00034942842,0.00084704865,0.00095906225,0.0007166389,0.0012838892],"category_scores_gemma":[0.001286858,0.00028910654,0.00081462116,0.00037951153,0.0003119421,0.0006897854,0.00056575134,0.0007745233,0.00023602846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003387367,0.00002036746,0.00091202185,0.00004219439,0.000017005126,0.000055538378,0.00003607257,0.98303187,0.0008809562,0.0016128515,0.00038444766,0.012972826],"study_design_scores_gemma":[0.0000013576798,0.000008293591,0.000108475164,0.0000024291942,0.000003859218,0.0000049013406,0.0000026270488,0.99930596,0.00013904637,0.00031273713,0.000107879285,0.0000024748085],"about_ca_topic_score_codex":0.016838307,"about_ca_topic_score_gemma":0.007719169,"teacher_disagreement_score":0.016838307,"about_ca_system_score_codex":0.0007468933,"about_ca_system_score_gemma":0.0009220646,"threshold_uncertainty_score":0.033480585},"labels":[],"label_agreement":null},{"id":"W4223621951","doi":"10.1016/j.isci.2022.104260","title":"Battery health evaluation using a short random segment of constant current charging","year":2022,"lang":"en","type":"article","venue":"iScience","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Science Foundation of Chongqing; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Battery (electricity); State of health; Voltage; Computer science; Software deployment; Degradation (telecommunications); Work (physics); Constant current; Lithium-ion battery; Variance (accounting); Reliability engineering; Electrical engineering; Engineering; Power (physics); Mechanical engineering; Telecommunications; Physics","score_opus":0.08023248400025638,"score_gpt":0.3706210780057818,"score_spread":0.2903885940055254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4223621951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82072026,0.00080269156,0.1726004,0.00022227087,0.00009301325,0.00013589271,0.0005928312,0.0011649515,0.0036677248],"genre_scores_gemma":[0.99328643,0.00008523279,0.0056502637,0.00003146244,0.000009377337,0.000034576955,0.00027609026,0.000021100377,0.0006053696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977607,0.000034516812,0.000017390192,0.000060612125,0.000084938125,0.000026432574],"domain_scores_gemma":[0.99932075,0.00026519806,0.00007448002,0.000079687525,0.000232706,0.000027288499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048985385,0.00054876396,0.00047274152,0.0005021739,0.00020713618,0.0004670786,0.000821162,0.00056545995,0.0008411686],"category_scores_gemma":[0.0022454998,0.0001660342,0.0004352356,0.00040152544,0.00025165736,0.0005821932,0.00035946255,0.00032782234,0.00023610903],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009300889,0.00021381417,0.023490489,0.00030634212,0.00013663569,0.00038466664,0.00019454656,0.83391136,0.024211409,0.0015136955,0.0016470684,0.1130599],"study_design_scores_gemma":[0.000009417755,0.00013083634,0.0034131268,0.0000056362637,0.000014894878,0.00006706733,0.000026398166,0.9870162,0.008587931,0.0004189243,0.00029419316,0.000015376268],"about_ca_topic_score_codex":0.0055139815,"about_ca_topic_score_gemma":0.004892138,"teacher_disagreement_score":0.0055139815,"about_ca_system_score_codex":0.0005379897,"about_ca_system_score_gemma":0.00044798045,"threshold_uncertainty_score":0.010963798},"labels":[],"label_agreement":null},{"id":"W4224947065","doi":"10.1038/s41467-022-29837-w","title":"Data-driven capacity estimation of commercial lithium-ion batteries from voltage relaxation","year":2022,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":732,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China; Fundamental Research Funds for the Central Universities; Center of Excellence for Learning in Education, Science and Technology; Alexander von Humboldt-Stiftung","keywords":"Battery (electricity); Voltage; Relaxation (psychology); Mean squared error; Computer science; Lithium (medication); Battery capacity; Electrode; Estimation; Materials science; Electrical engineering; Statistics; Mathematics; Chemistry; Thermodynamics; Engineering; Physics; Power (physics)","score_opus":0.051731335182317276,"score_gpt":0.32002952908803856,"score_spread":0.2682981939057213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224947065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9507812,0.00048648592,0.04047016,0.00018642427,0.00003165568,0.00007316525,0.004246185,0.0014578879,0.0022667937],"genre_scores_gemma":[0.9890616,0.000106615844,0.0060334434,0.000019839566,0.000004360611,0.000051895786,0.004199448,0.00003576415,0.00048711055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998111,0.00003333086,0.000015231918,0.000059596878,0.000059714075,0.000021025238],"domain_scores_gemma":[0.99929416,0.00032565405,0.00006752804,0.00008641903,0.00021180186,0.000014408308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005325746,0.00077258423,0.00043956586,0.0006603911,0.00015916758,0.0006523038,0.0011323165,0.0006857341,0.0007508161],"category_scores_gemma":[0.0024376868,0.00023799422,0.0005617512,0.0006772113,0.0002685087,0.0009243525,0.00033330327,0.0005770835,0.00027176697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032627955,0.00014897308,0.010575235,0.0002307076,0.000095179515,0.00010521064,0.00004981999,0.93746907,0.0133876465,0.00037177303,0.0014403429,0.035799738],"study_design_scores_gemma":[0.000005969271,0.000043646618,0.0040143826,0.0000067930378,0.0000071695767,0.000022769533,0.00001530763,0.9819565,0.013309736,0.00022758146,0.00037837846,0.000011758616],"about_ca_topic_score_codex":0.010446812,"about_ca_topic_score_gemma":0.009160555,"teacher_disagreement_score":0.010446812,"about_ca_system_score_codex":0.00086575036,"about_ca_system_score_gemma":0.00042295197,"threshold_uncertainty_score":0.02077204},"labels":[],"label_agreement":null},{"id":"W4225541666","doi":"10.4271/2022-01-0700","title":"A Comparative Study between Physics, Electrical and Data Driven Lithium-Ion Battery Voltage Modeling Approaches","year":2022,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Lithium (medication); Voltage; Battery (electricity); Ion; Lithium-ion battery; Computer science; Electrical engineering; Data modeling; Engineering physics; Materials science; Systems engineering; Physics; Nuclear engineering; Engineering; Power (physics); Thermodynamics; Software engineering","score_opus":0.08278484464489623,"score_gpt":0.3085747389883899,"score_spread":0.22578989434349367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225541666","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23192742,0.0035924956,0.7195886,0.0008540131,0.00019065404,0.00024141978,0.00060939457,0.0026412744,0.040354833],"genre_scores_gemma":[0.8916151,0.0023582855,0.098066896,0.00014717372,0.000048013593,0.00021034689,0.0007781674,0.00022472347,0.006551299],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969447,0.000068222784,0.000024110996,0.000040141924,0.00015664828,0.000016563125],"domain_scores_gemma":[0.9993519,0.00027399912,0.000046965164,0.00007209547,0.00023574424,0.000019304507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006142158,0.0007446237,0.00047442538,0.0008403591,0.00026692767,0.0010369978,0.0016045177,0.0006917666,0.0019349775],"category_scores_gemma":[0.0019433006,0.0003063225,0.0008108898,0.0006018161,0.00020446537,0.0017087066,0.00050317514,0.00055158656,0.0004298888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016945138,0.00016614047,0.0031560995,0.00039112236,0.000110460925,0.00012889349,0.00016863564,0.8504373,0.00608391,0.011406934,0.0008692064,0.12691183],"study_design_scores_gemma":[0.000008411444,0.00007728325,0.0006366772,0.000023113025,0.000021816522,0.000037235517,0.000045482153,0.99238026,0.0026269713,0.0016298206,0.0024990411,0.000013921594],"about_ca_topic_score_codex":0.008136407,"about_ca_topic_score_gemma":0.0070340848,"teacher_disagreement_score":0.008136407,"about_ca_system_score_codex":0.0010702463,"about_ca_system_score_gemma":0.00092959433,"threshold_uncertainty_score":0.016178071},"labels":[],"label_agreement":null},{"id":"W4225741198","doi":"10.1109/tte.2022.3170359","title":"Hybrid Electrical Circuit Model and Deep Learning-Based Core Temperature Estimation of Lithium-Ion Battery Cell","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"ABB (Canada); Ontario Tech University","funders":"","keywords":"Leverage (statistics); Battery (electricity); State of charge; Computer science; Algorithm; Topology (electrical circuits); Artificial intelligence; Electrical engineering; Engineering; Physics; Thermodynamics","score_opus":0.013374544260601652,"score_gpt":0.230898611636023,"score_spread":0.21752406737542135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225741198","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11704095,0.0006412487,0.8754791,0.0002008361,0.000056992136,0.000038671267,0.00019758841,0.0014694486,0.004875189],"genre_scores_gemma":[0.9717406,0.00019959042,0.024977092,0.00005927612,0.000017017557,0.000058316073,0.00018709434,0.000033605902,0.002727465],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991536,0.0000123828395,0.0000046473174,0.000027541364,0.000030729596,0.000009283592],"domain_scores_gemma":[0.9999126,0.000024002153,0.000012483306,0.000013298652,0.0000325366,0.00000499542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013625484,0.00045316733,0.000431519,0.000214093,0.00015216341,0.0003983435,0.00075489574,0.0004517477,0.00093129027],"category_scores_gemma":[0.00036321385,0.00021072365,0.00041655032,0.00025270903,0.00017738502,0.0007648694,0.00030564863,0.00039855982,0.000244442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044023145,0.000029276223,0.0006839814,0.00004703235,0.000023611425,0.0000398671,0.000024188856,0.95650554,0.009790883,0.0009977515,0.0004211637,0.031392634],"study_design_scores_gemma":[8.4498777e-7,0.0000046491614,0.00008381354,7.805563e-7,0.00000138312,0.0000030032077,7.9177386e-7,0.99910045,0.00055989076,0.00018357925,0.000059262056,0.0000014335996],"about_ca_topic_score_codex":0.0065345485,"about_ca_topic_score_gemma":0.006877886,"teacher_disagreement_score":0.0065345485,"about_ca_system_score_codex":0.00061740243,"about_ca_system_score_gemma":0.0005229174,"threshold_uncertainty_score":0.012993038},"labels":[],"label_agreement":null},{"id":"W4225811398","doi":"10.1016/j.est.2022.104520","title":"State of health estimation and remaining useful life assessment of lithium-ion batteries: A comparative study","year":2022,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":128,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Battery (electricity); Convolutional neural network; Recurrent neural network; State of health; Artificial neural network; Artificial intelligence; Machine learning; Deep learning; Power (physics)","score_opus":0.04264919881782226,"score_gpt":0.3421179186787597,"score_spread":0.2994687198609374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225811398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98867756,0.0013340694,0.0071999803,0.000036804144,0.00001050073,0.000018862473,0.00024793152,0.000050028866,0.002424252],"genre_scores_gemma":[0.99877197,0.00024022849,0.0004185769,0.000004692312,0.000005625884,0.0000037431748,0.00016785691,0.0000035908029,0.00038375263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959785,0.000116040974,0.000041907027,0.000051441824,0.00015977623,0.000032972916],"domain_scores_gemma":[0.99778074,0.0011495594,0.00017531964,0.00011320231,0.00073712924,0.00004405915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012372638,0.00037341967,0.00036767664,0.0019340483,0.00019954621,0.00079967733,0.00044955817,0.0005419398,0.0011079963],"category_scores_gemma":[0.0029179524,0.00010121985,0.0005547688,0.000947323,0.00030206432,0.0013570181,0.00028243472,0.00015235084,0.00024337947],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007284519,0.0008401551,0.48701075,0.000747758,0.0006231121,0.0008446834,0.001723053,0.05505314,0.046113677,0.0016161203,0.0010573532,0.39708564],"study_design_scores_gemma":[0.00007968899,0.0067787752,0.5895325,0.00012671632,0.0016521321,0.001733995,0.0034872121,0.33012566,0.059762854,0.0025137363,0.0040144613,0.00019224313],"about_ca_topic_score_codex":0.0028639855,"about_ca_topic_score_gemma":0.0020973335,"teacher_disagreement_score":0.0028639855,"about_ca_system_score_codex":0.0003847789,"about_ca_system_score_gemma":0.00018075058,"threshold_uncertainty_score":0.0065433383},"labels":[],"label_agreement":null},{"id":"W4226083168","doi":"10.3390/en15020623","title":"Smart Core and Surface Temperature Estimation Techniques for Health-Conscious Lithium-Ion Battery Management Systems: A Model-to-Model Comparison","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); Kalman filter; Online model; MATLAB; Core (optical fiber); Computer science; Process (computing); Extended Kalman filter; Lithium-ion battery; Simulation; Reliability engineering; Engineering; Power (physics)","score_opus":0.028447659831924165,"score_gpt":0.30844246584808555,"score_spread":0.2799948060161614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226083168","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2512519,0.0025106478,0.7329891,0.0004371931,0.00010645395,0.00019705875,0.00024034652,0.002472187,0.009795081],"genre_scores_gemma":[0.9736683,0.0006361738,0.023902154,0.00003891377,0.000013859843,0.00010054161,0.0001539592,0.00006951527,0.001416663],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980634,0.00005636716,0.000014592438,0.00003805658,0.00006288403,0.000021815242],"domain_scores_gemma":[0.99946433,0.00028889056,0.000045804645,0.000052242147,0.0001372126,0.000011491058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060966454,0.0006909997,0.00079491374,0.00036810365,0.0002535779,0.0007661237,0.0005860441,0.00063370436,0.0015057048],"category_scores_gemma":[0.0014753317,0.00023593394,0.00070696726,0.0002534742,0.00017794456,0.00082314375,0.00044791173,0.0006435022,0.0003150594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027019612,0.000108678905,0.0014594264,0.00024889046,0.00006491215,0.000053121876,0.00009571344,0.92892253,0.006920781,0.0015775497,0.0005277978,0.059750363],"study_design_scores_gemma":[0.0000053761514,0.0000773933,0.00042374473,0.000006839336,0.000011891385,0.0000111662675,0.000013602202,0.99738044,0.00151351,0.00022387509,0.00032684006,0.0000052730725],"about_ca_topic_score_codex":0.005856331,"about_ca_topic_score_gemma":0.00334072,"teacher_disagreement_score":0.005856331,"about_ca_system_score_codex":0.0004923393,"about_ca_system_score_gemma":0.0005391691,"threshold_uncertainty_score":0.011644483},"labels":[],"label_agreement":null},{"id":"W4226322849","doi":"10.4271/2022-01-0711","title":"3D FEA Thermal Modeling with Experimentally Measured Loss Gradient of Large Format Ultra-Fast Charging Battery Module Used for EVs","year":2022,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Finite element method; Temperature gradient; Thermal; Computer science; Electrical engineering; Electronic engineering; Materials science; Engineering; Physics; Structural engineering; Power (physics)","score_opus":0.017948413970956614,"score_gpt":0.2572685003518833,"score_spread":0.2393200863809267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226322849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8378745,0.0003401791,0.13704821,0.00024184263,0.00006428458,0.00013007483,0.0015571795,0.0016189204,0.02112469],"genre_scores_gemma":[0.9872765,0.00009831769,0.009195207,0.000019495692,0.000003669565,0.000101438236,0.00027330455,0.000057187033,0.0029749232],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998796,0.000016691918,0.0000053693934,0.000019960586,0.0000638282,0.000014616531],"domain_scores_gemma":[0.9998554,0.000037541733,0.000021080241,0.000027369942,0.000051977328,0.0000065864506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019800533,0.0006319625,0.00036576067,0.00044420396,0.0003172876,0.0005649011,0.00075199007,0.000982248,0.003212162],"category_scores_gemma":[0.00036285893,0.0003688304,0.0007108059,0.00029568523,0.0003479709,0.00042287676,0.00022047242,0.0003072825,0.0006368995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007979276,0.00005508508,0.002209457,0.00008110654,0.000020505204,0.00016316408,0.00013704445,0.9627876,0.024156485,0.00057240104,0.0008641778,0.008873209],"study_design_scores_gemma":[0.000006393997,0.000047438567,0.0017605314,0.000009759393,0.0000087658345,0.000026909724,0.000036599595,0.99099123,0.006143552,0.00012669711,0.0008323954,0.000009712412],"about_ca_topic_score_codex":0.0046765637,"about_ca_topic_score_gemma":0.0050885975,"teacher_disagreement_score":0.0046765637,"about_ca_system_score_codex":0.0005718444,"about_ca_system_score_gemma":0.00038081533,"threshold_uncertainty_score":0.010745704},"labels":[],"label_agreement":null},{"id":"W4226375021","doi":"10.1103/physreve.106.025313","title":"Data-driven optimal closures for mean-cluster models: Beyond the classical pair approximation","year":2022,"lang":"en","type":"article","venue":"Physical review. E","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Closure (psychology); Mathematics; Applied mathematics; Parametrization (atmospheric modeling); A priori and a posteriori; Lattice (music); Truncation (statistics); Cluster analysis; Statistical physics; Physics; Quantum mechanics","score_opus":0.06811474051284676,"score_gpt":0.34899500316687104,"score_spread":0.28088026265402427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226375021","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026044684,0.001369094,0.96656746,0.0009714517,0.00010704926,0.000047544152,0.00015166843,0.00012255456,0.0046185935],"genre_scores_gemma":[0.8128047,0.0036516294,0.17214005,0.00062742725,0.00036210893,0.0004505504,0.0005700412,0.00034514506,0.0090482915],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991936,0.00031780684,0.000040320578,0.00015141626,0.00021559105,0.000081231374],"domain_scores_gemma":[0.99682754,0.002016158,0.00038948728,0.00028848997,0.00030930096,0.00016892074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026829436,0.00084739417,0.0015976287,0.00085648807,0.00063060876,0.0020124728,0.0023247015,0.0019034784,0.001167628],"category_scores_gemma":[0.0077853748,0.00069167826,0.0015618273,0.00055009936,0.0026411654,0.0032243766,0.0021436245,0.0024813819,0.00022735508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025383528,0.00002897099,0.00045651174,0.00015754296,0.000034952016,0.00008552884,0.00012783575,0.5704817,0.0011526734,0.42227867,0.0009071377,0.004263053],"study_design_scores_gemma":[0.000004309441,0.0000067188003,0.000040253984,0.000011359801,0.0000029280245,0.000011930577,0.000009893994,0.9404886,0.00013233296,0.058685195,0.00059805624,0.0000084916755],"about_ca_topic_score_codex":0.005245339,"about_ca_topic_score_gemma":0.0019142157,"teacher_disagreement_score":0.005245339,"about_ca_system_score_codex":0.0016659581,"about_ca_system_score_gemma":0.0017460363,"threshold_uncertainty_score":0.014188886},"labels":[],"label_agreement":null},{"id":"W4226425006","doi":"10.1109/tte.2022.3170230","title":"Transfer Learning With Deep Neural Network for Capacity Prediction of Li-Ion Batteries Using EIS Measurement","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Artificial neural network; Mean squared error; Base (topology); Transfer of learning; Artificial intelligence; Deep learning; Computer science; Pattern recognition (psychology); Mathematics; Statistics","score_opus":0.03904735712566586,"score_gpt":0.23421486205731093,"score_spread":0.19516750493164509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226425006","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28529596,0.0025713816,0.70138496,0.0006416642,0.00020464566,0.00011737307,0.00049376907,0.0034715473,0.0058187204],"genre_scores_gemma":[0.9679303,0.00041235442,0.028172048,0.00011726417,0.00003680076,0.000088930916,0.00061290053,0.000040384053,0.0025888928],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997868,0.000035546032,0.000018222998,0.00006401454,0.00005989347,0.000035518857],"domain_scores_gemma":[0.99955815,0.00017604849,0.000045241417,0.00003068401,0.000171706,0.000018104514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071341044,0.0011431641,0.00062090263,0.00071193225,0.00026524547,0.0006027317,0.001144349,0.0008487712,0.0011377416],"category_scores_gemma":[0.0018039468,0.00031462207,0.00056274584,0.00081716623,0.00028814096,0.0012715607,0.000575377,0.00093037676,0.0004046687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013119487,0.00016141725,0.0041443384,0.00008771233,0.00007048778,0.00012742732,0.000044852346,0.885439,0.0036813344,0.000671137,0.001454165,0.10398695],"study_design_scores_gemma":[0.0000015946327,0.0000110835435,0.00025064545,0.0000025954237,0.000003291067,0.000005008386,0.000003874723,0.99849665,0.0007964702,0.00033706924,0.00008832507,0.0000033275217],"about_ca_topic_score_codex":0.0095932195,"about_ca_topic_score_gemma":0.006411396,"teacher_disagreement_score":0.0095932195,"about_ca_system_score_codex":0.0009815893,"about_ca_system_score_gemma":0.000811093,"threshold_uncertainty_score":0.019074738},"labels":[],"label_agreement":null},{"id":"W4226459701","doi":"10.1109/tte.2022.3158275","title":"Real-Time Multiobjective Energy Management for Electrified Powertrains: A Convex Optimization-Driven Predictive Approach","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"National Natural Science Foundation of China","keywords":"Powertrain; Model predictive control; Energy management; Computer science; Battery (electricity); Fuel efficiency; Optimal control; Mathematical optimization; Convex optimization; Nonlinear programming; Automotive engineering; Process (computing); Dynamic programming; Energy (signal processing); Control engineering; Engineering; Control (management); Nonlinear system; Regular polygon; Torque; Algorithm; Power (physics); Mathematics; Artificial intelligence","score_opus":0.009327970237445304,"score_gpt":0.22806965884288738,"score_spread":0.21874168860544208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226459701","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013938355,0.0003380816,0.9806831,0.0001804101,0.00003565475,0.000043124313,0.000028238603,0.00013366164,0.004619395],"genre_scores_gemma":[0.9150279,0.0006739827,0.07988964,0.00013295392,0.00006500298,0.00021773513,0.00009907726,0.000076883065,0.0038168433],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999838,0.00004590776,0.0000063742423,0.000026080188,0.00005883054,0.000024742907],"domain_scores_gemma":[0.99964607,0.00020964799,0.00004094588,0.000016063474,0.00007026951,0.000016926311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005917216,0.0009202785,0.00086719607,0.0003985545,0.00032467567,0.0010545915,0.00093629083,0.0006897223,0.0013493784],"category_scores_gemma":[0.0009945589,0.00044318952,0.00052583666,0.0005172293,0.000509132,0.00057974487,0.00069891644,0.0010998395,0.00015947872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005941121,0.000011884072,0.00006761213,0.000019828285,0.000006673733,0.000018634626,0.000010996789,0.9927618,0.00022098007,0.0017456248,0.00012715766,0.0050028227],"study_design_scores_gemma":[7.652638e-7,0.000004096117,0.000011692601,0.0000013402381,0.0000010352113,0.0000014571405,0.0000023873033,0.99953175,0.000045308567,0.00034089093,0.000058435417,7.8546054e-7],"about_ca_topic_score_codex":0.00884264,"about_ca_topic_score_gemma":0.0062180297,"teacher_disagreement_score":0.00884264,"about_ca_system_score_codex":0.00057891855,"about_ca_system_score_gemma":0.0010442989,"threshold_uncertainty_score":0.017582357},"labels":[],"label_agreement":null},{"id":"W4226469182","doi":"10.4271/2022-01-0697","title":"Microprocessor Execution Time and Memory Use for Battery State of Charge Estimation Algorithms","year":2022,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Microprocessor; Computer science; State (computer science); Battery (electricity); State of charge; Algorithm; Embedded system; Parallel computing; Power (physics)","score_opus":0.014281955251441446,"score_gpt":0.25487898066633524,"score_spread":0.2405970254148938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226469182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8239825,0.0013527415,0.14071631,0.00025714,0.00022904492,0.00035726017,0.0015518593,0.017789423,0.0137636475],"genre_scores_gemma":[0.9252554,0.00028131966,0.0689734,0.00006780276,0.0000144611595,0.00022899717,0.0012963575,0.00033506547,0.0035471634],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99934024,0.000059330578,0.00007275397,0.00020123656,0.00022607883,0.00010032446],"domain_scores_gemma":[0.998825,0.00046425045,0.000118658856,0.00017822084,0.0003661516,0.000047619807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042423018,0.0010470453,0.00036590366,0.0007016072,0.00025943512,0.0007141641,0.0009573705,0.00035548757,0.008276231],"category_scores_gemma":[0.0031061985,0.00022978194,0.00026669266,0.00070099166,0.00018788502,0.0006887968,0.0002761845,0.00061187276,0.0013788029],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026119263,0.0006319865,0.015524991,0.0010090484,0.00022845418,0.00048610766,0.00046968024,0.18878879,0.09397459,0.003523689,0.012658131,0.6800927],"study_design_scores_gemma":[0.00012767082,0.00092485145,0.012871341,0.00006158616,0.000076670134,0.00020393259,0.0001317248,0.82704365,0.1489551,0.0007559483,0.008780623,0.00006677054],"about_ca_topic_score_codex":0.004379242,"about_ca_topic_score_gemma":0.0048177154,"teacher_disagreement_score":0.008276231,"about_ca_system_score_codex":0.0006834721,"about_ca_system_score_gemma":0.0012131933,"threshold_uncertainty_score":0.027686715},"labels":[],"label_agreement":null},{"id":"W4229078502","doi":"10.1016/j.est.2022.104757","title":"Critical thickness of nano-enhanced RT-42 paraffin based battery thermal management system for electric vehicles: A numerical study","year":2022,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":128,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Phase-change material; Materials science; Operating temperature; Nuclear engineering; Lithium-ion battery; Power density; Thermal energy storage; Depth of discharge; Energy storage; Thermal; Composite material; Automotive engineering; Power (physics); Electrical engineering; Thermodynamics; Engineering","score_opus":0.012817313867502891,"score_gpt":0.26327993468473043,"score_spread":0.25046262081722753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229078502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9700833,0.0006569675,0.008111611,0.0003028581,0.00006594379,0.000030350619,0.00019198874,0.000054827367,0.02050221],"genre_scores_gemma":[0.9968046,0.00013341922,0.00097118487,0.000017691962,0.0000040378354,0.000012502936,0.00003120449,0.000007947707,0.0020173956],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99995863,0.0000045524184,0.0000012932736,0.000007792807,0.000015103897,0.00001258621],"domain_scores_gemma":[0.9998764,0.000060976585,0.000018121664,0.0000075337653,0.00002776871,0.000009173677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014002781,0.00018861734,0.00025468206,0.00018754922,0.00036315742,0.00046136195,0.00048704862,0.0006153343,0.0033072035],"category_scores_gemma":[0.00043324393,0.00021924586,0.00029156235,0.00018804023,0.00047576497,0.00066508114,0.00019621575,0.0003091661,0.00018865224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002793513,0.00014887218,0.0018059144,0.00039624883,0.00003772941,0.00046403738,0.00011721765,0.87095153,0.11123476,0.008790762,0.001044248,0.00472929],"study_design_scores_gemma":[0.00003388573,0.00013246699,0.001124925,0.000018501634,0.000022394708,0.000049599144,0.000102603175,0.9832881,0.0137279695,0.0007407086,0.00074466184,0.000014242085],"about_ca_topic_score_codex":0.0030617511,"about_ca_topic_score_gemma":0.003023636,"teacher_disagreement_score":0.0033072035,"about_ca_system_score_codex":0.00053140253,"about_ca_system_score_gemma":0.00043631755,"threshold_uncertainty_score":0.011063635},"labels":[],"label_agreement":null},{"id":"W4230665106","doi":"10.1149/ma2016-02/3/329","title":"An on-Line Electrochemical Parameter Estimation Study on Lithium-Ion Batteries Using Neural Network (NN)","year":2016,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Battery (electricity); Artificial neural network; Electrochemistry; Electrolyte; Lithium-ion battery; Electrode; Computer science; Inverse; Cathode; Materials science; Lithium (medication); Biological system; Power (physics); Electrical engineering; Chemistry; Engineering; Mathematics; Machine learning; Physics; Thermodynamics","score_opus":0.03549616853114383,"score_gpt":0.31059986832455383,"score_spread":0.27510369979341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230665106","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26462144,0.0034961603,0.723872,0.00034177196,0.00006772072,0.000058274225,0.000039652725,0.0003379141,0.007165081],"genre_scores_gemma":[0.9386565,0.0016682267,0.054818064,0.00007116148,0.000052590214,0.00005711391,0.000074303694,0.000027530492,0.0045745717],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998135,0.000063548425,0.000010744177,0.00004541034,0.000052143503,0.000014815615],"domain_scores_gemma":[0.9995403,0.00028828034,0.000028679337,0.00002540708,0.00010956632,0.000007688214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046313263,0.0005669673,0.00052555377,0.0002154552,0.00018489189,0.0005064626,0.0004553046,0.0007687228,0.0008094254],"category_scores_gemma":[0.0018242524,0.00022565397,0.0003744465,0.00029533927,0.00025118247,0.0008575411,0.0002753211,0.0004552319,0.00010287458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013191809,0.000100424615,0.0026704243,0.0001825438,0.00009020721,0.00011945547,0.00012637302,0.8433166,0.009637895,0.0027032245,0.00037740666,0.14054342],"study_design_scores_gemma":[0.0000012177591,0.000030454605,0.00037207763,0.0000047637836,0.0000070058945,0.00001342184,0.000007505942,0.9980932,0.0010236235,0.00026029622,0.00018277974,0.0000037019447],"about_ca_topic_score_codex":0.0048716227,"about_ca_topic_score_gemma":0.0023215197,"teacher_disagreement_score":0.0048716227,"about_ca_system_score_codex":0.0003497559,"about_ca_system_score_gemma":0.00022273745,"threshold_uncertainty_score":0.009686589},"labels":[],"label_agreement":null},{"id":"W4231480459","doi":"10.3390/wevj6030719","title":"Electric and Hybrid Vehicle Power Electronics Efficiency, Testing and Reliability","year":2013,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Automotive engineering; Overvoltage; Reliability (semiconductor); Electric vehicle; Inverter; Power electronics; Hybrid power; Computer science; Power (physics); Hybrid vehicle; Traction (geology); Traction motor; Electronic component; Electrical engineering; Engineering; Voltage; Mechanical engineering","score_opus":0.007236461535046706,"score_gpt":0.22376628783212815,"score_spread":0.21652982629708145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231480459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53163034,0.0077883964,0.39633465,0.0005564502,0.00017680814,0.00028251394,0.0005258985,0.001574633,0.061130337],"genre_scores_gemma":[0.9696322,0.001471373,0.018230814,0.000052220646,0.000044766348,0.000071128525,0.00030751489,0.00013609252,0.010053926],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99837166,0.00031325358,0.000077613084,0.00011541762,0.0010660992,0.000055973767],"domain_scores_gemma":[0.9982785,0.00060583156,0.00015179336,0.00019852378,0.00072680094,0.000038548475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013342802,0.00037582032,0.00042089506,0.0007827981,0.00016385155,0.00081623666,0.00064305216,0.0004045364,0.0027304008],"category_scores_gemma":[0.0027413825,0.00016489335,0.00019373727,0.0005446297,0.00044785344,0.0011620506,0.00039932784,0.00022753485,0.0011491625],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055313,0.00021869279,0.022036409,0.0009093352,0.00006835994,0.0004630397,0.0003390992,0.04272958,0.2464966,0.010293742,0.0033994466,0.67249256],"study_design_scores_gemma":[0.000064495216,0.003690429,0.086763054,0.00026086532,0.00017317108,0.003275159,0.0008843807,0.13457723,0.7008974,0.011979898,0.057300482,0.00013338623],"about_ca_topic_score_codex":0.0005620527,"about_ca_topic_score_gemma":0.0005258396,"teacher_disagreement_score":0.0027304008,"about_ca_system_score_codex":0.00028220727,"about_ca_system_score_gemma":0.00021236713,"threshold_uncertainty_score":0.009134114},"labels":[],"label_agreement":null},{"id":"W4232004045","doi":"10.1149/ma2008-02/1/248","title":"Effect of Ball-milling on Physical and Electrochemical Properties of Lead Dioxide","year":2008,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Institut National de la Recherche Scientifique","funders":"","keywords":"Lead dioxide; Ball mill; Lead (geology); Electrochemistry; Materials science; Ball (mathematics); Metallurgy; Chemistry; Mathematics; Geology; Electrode; Physical chemistry","score_opus":0.014783751434123294,"score_gpt":0.24453692856692805,"score_spread":0.22975317713280474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232004045","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955558,0.0013656045,0.0012437475,0.000093399896,0.000093116185,0.000026655296,0.00023404944,0.00009729055,0.0012902272],"genre_scores_gemma":[0.9976776,0.00034825204,0.0007895323,0.00004546899,0.000020583075,0.000010683441,0.00014809119,0.000037864058,0.0009218072],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99957734,0.00007039291,0.00004916158,0.00009475276,0.00013087844,0.00007743117],"domain_scores_gemma":[0.9982331,0.0011095438,0.00019078309,0.0001861105,0.00020203934,0.00007841843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004724327,0.00039952833,0.00044801124,0.00022537207,0.00032678203,0.0005613228,0.00036915703,0.00046999846,0.0043759416],"category_scores_gemma":[0.0020292182,0.00035918527,0.00026378804,0.00028953908,0.000428546,0.00043994442,0.00021879337,0.00047118517,0.0006567849],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002999835,0.00010236243,0.00079876446,0.00021823574,0.000033500237,0.0001108161,0.000120423574,0.0004196355,0.98744047,0.00005171195,0.0002465308,0.0074575935],"study_design_scores_gemma":[0.00004131599,0.00060917035,0.0028338307,0.0000054900693,0.000018728635,0.00004335031,0.000035751644,0.0005667686,0.9952252,0.000023056133,0.00058698823,0.000010327559],"about_ca_topic_score_codex":0.00070329587,"about_ca_topic_score_gemma":0.0012034768,"teacher_disagreement_score":0.0043759416,"about_ca_system_score_codex":0.00024779688,"about_ca_system_score_gemma":0.00022386543,"threshold_uncertainty_score":0.01463896},"labels":[],"label_agreement":null},{"id":"W4232321290","doi":"10.1149/ma2020-012460mtgabs","title":"A Comprehensive Comparison of the Phase Change Material-Based Internal and External Cooling Systems","year":2020,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Phase-change material; Exothermic reaction; Materials science; Battery (electricity); Nuclear engineering; Energy storage; Battery pack; Range (aeronautics); Thermal energy storage; Water cooling; Thermal; Process engineering; Mechanical engineering; Environmental science; Thermodynamics; Composite material; Power (physics); Engineering; Physics","score_opus":0.06498687755640421,"score_gpt":0.31608453147523424,"score_spread":0.25109765391883004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232321290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8411484,0.062218197,0.03736862,0.00031087777,0.0005941488,0.00053455035,0.0034728898,0.00074218115,0.053610165],"genre_scores_gemma":[0.93585974,0.023010423,0.024994247,0.00012046829,0.00012195927,0.00029143138,0.002800121,0.00025592773,0.0125456285],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971443,0.000026837673,0.000017038266,0.00004574311,0.0001639399,0.00003198303],"domain_scores_gemma":[0.9998357,0.000032811287,0.00002201023,0.000019334364,0.000080883096,0.0000090989315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040891345,0.00037839214,0.00042104756,0.00074224576,0.0002755409,0.0005194992,0.0003850176,0.0002393628,0.0028844364],"category_scores_gemma":[0.000570126,0.00011298005,0.00037125696,0.0006860877,0.00019744333,0.00067250855,0.00023245065,0.00032163394,0.0006560061],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007485307,0.00020467087,0.002222971,0.0031112004,0.000071937015,0.00013914134,0.00010197658,0.004100861,0.7700006,0.0029961995,0.003880348,0.21242161],"study_design_scores_gemma":[0.000027309958,0.0015960339,0.0073743504,0.00011277963,0.00012764733,0.00037763276,0.00005443585,0.0061039706,0.9162076,0.00016008303,0.06782491,0.000033250843],"about_ca_topic_score_codex":0.00051030994,"about_ca_topic_score_gemma":0.00083686865,"teacher_disagreement_score":0.0028844364,"about_ca_system_score_codex":0.00034807692,"about_ca_system_score_gemma":0.0003295119,"threshold_uncertainty_score":0.009649456},"labels":[],"label_agreement":null},{"id":"W4232596519","doi":"10.3410/f.737901317.793574680","title":"Faculty Opinions recommendation of Haplotype of the astrocytic water channel AQP4 is associated with slow wave energy regulation in human NREM sleep.","year":2020,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Rigshospitalet; Gentofte Hospital; European Commission; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Non-rapid eye movement sleep; Haplotype; Sleep (system call); Channel (broadcasting); Neuroscience; Psychology; Audiology; Biology; Computer science; Medicine; Genetics; Gene; Electroencephalography; Telecommunications","score_opus":0.031527227329304505,"score_gpt":0.3048593330765305,"score_spread":0.273332105747226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232596519","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023954345,0.00016512553,0.0000725364,0.00015022939,0.000025485579,0.000015600832,0.9959604,0.000072921895,0.0011422503],"genre_scores_gemma":[0.0068227067,0.00013116053,0.00026241774,0.000109197084,0.000026137412,0.0000860239,0.99071676,0.00004247091,0.0018031702],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989594,0.00016857623,0.00015676706,0.00035866082,0.00021481367,0.00014176275],"domain_scores_gemma":[0.99641573,0.0009183972,0.00083964836,0.00047652615,0.0009541786,0.00039542041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008389381,0.00074085966,0.0008496305,0.0019607681,0.00056245306,0.0011822045,0.0011321704,0.0009742754,0.050965007],"category_scores_gemma":[0.0072078183,0.00023675307,0.00084882986,0.0043345448,0.00018414977,0.0006429434,0.00095457473,0.0007424887,0.030619977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058088946,0.00004812779,0.07271092,0.0020325156,0.00039079043,0.000120571436,0.00007794795,0.0003409315,0.0006874138,0.00043148347,0.90833664,0.01424176],"study_design_scores_gemma":[0.00060025865,0.00006451445,0.2555638,0.00066413434,0.00039889448,0.00035689966,0.00025580206,0.0008424069,0.0009921058,0.0008442882,0.7393544,0.00006252835],"about_ca_topic_score_codex":0.022849355,"about_ca_topic_score_gemma":0.043720815,"teacher_disagreement_score":0.050965007,"about_ca_system_score_codex":0.00062296394,"about_ca_system_score_gemma":0.0015716082,"threshold_uncertainty_score":0.17049497},"labels":[],"label_agreement":null},{"id":"W4233549199","doi":"10.1109/lpe.2003.1231833","title":"Analysis of discharge techniques for multiple battery systems","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Battery (electricity); Reliability engineering; Automotive engineering; Engineering; Physics; Thermodynamics; Power (physics)","score_opus":0.020883070908819225,"score_gpt":0.2797310786862718,"score_spread":0.25884800777745254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233549199","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14581464,0.0015192697,0.84304255,0.00041314244,0.00004373738,0.00014538875,0.00009575633,0.00034059767,0.008584943],"genre_scores_gemma":[0.9129007,0.001010628,0.07802564,0.0001000102,0.000061012404,0.00016513602,0.000139727,0.0001829026,0.0074142385],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933296,0.00010686568,0.000028371567,0.00008301178,0.0003143909,0.00013445082],"domain_scores_gemma":[0.9971739,0.0018743649,0.0003130867,0.00016442842,0.00038051573,0.0000936607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001393505,0.00056387816,0.00073207414,0.000827117,0.00056969473,0.00075046666,0.0011514314,0.00079914177,0.0042816247],"category_scores_gemma":[0.008481794,0.00038834498,0.00078191573,0.0007478979,0.00064876175,0.0017714773,0.0010955079,0.0009130121,0.00034448697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096226,0.000059673148,0.00096076593,0.00028705376,0.000043397198,0.00015654648,0.0001553177,0.90226483,0.009627907,0.032407098,0.00083563343,0.05310551],"study_design_scores_gemma":[0.000011803085,0.000094364776,0.00023947244,0.000011496683,0.000015862834,0.0000949759,0.000033988395,0.98596907,0.0024919272,0.009749868,0.0012803708,0.000006691365],"about_ca_topic_score_codex":0.0018968747,"about_ca_topic_score_gemma":0.0012551347,"teacher_disagreement_score":0.0042816247,"about_ca_system_score_codex":0.0013977122,"about_ca_system_score_gemma":0.00094170973,"threshold_uncertainty_score":0.014323413},"labels":[],"label_agreement":null},{"id":"W4235161511","doi":"10.1149/ma2009-02/10/1082","title":"Electrode and Catalyst Durability Requirements in Automotive Applications: Technology Status of a Recent Stack Design and Next Generation Challenges","year":2009,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Automotive Fuel Cell Cooperation (Canada)","funders":"","keywords":"Durability; Automotive industry; Stack (abstract data type); Electrode; Manufacturing engineering; Engineering; Computer science; Materials science; Automotive engineering; Nanotechnology; Aerospace engineering; Composite material; Chemistry","score_opus":0.07296231862131809,"score_gpt":0.30887243284176097,"score_spread":0.2359101142204429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235161511","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5837756,0.27983683,0.07669551,0.012914322,0.0013078082,0.00016877432,0.0010430308,0.00064253074,0.043615643],"genre_scores_gemma":[0.84480697,0.09990006,0.028939506,0.0011258204,0.0008259537,0.00012336399,0.0015591271,0.00029935013,0.022419851],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99945635,0.000048575814,0.000054177628,0.0000754488,0.00029909986,0.00006636273],"domain_scores_gemma":[0.99871254,0.00025287515,0.0001112335,0.00006250152,0.0007917636,0.00006923204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023717382,0.00029169387,0.0007845691,0.00047469517,0.00045369795,0.0017409514,0.0014584089,0.0013682076,0.0037829084],"category_scores_gemma":[0.0016585443,0.0003041458,0.0003113039,0.00060886086,0.0002769431,0.0029370403,0.00051956205,0.0008728227,0.0011805681],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008483907,0.00025031692,0.0045049805,0.0035834522,0.00010817559,0.000428135,0.00030178812,0.005757962,0.5210607,0.012852269,0.007826366,0.44247746],"study_design_scores_gemma":[0.00012699178,0.002961226,0.012259972,0.00035099688,0.0004813654,0.00228907,0.0011394816,0.023584686,0.63262266,0.00950391,0.31456298,0.00011664207],"about_ca_topic_score_codex":0.001346572,"about_ca_topic_score_gemma":0.003489186,"teacher_disagreement_score":0.0037829084,"about_ca_system_score_codex":0.00079585466,"about_ca_system_score_gemma":0.0013546828,"threshold_uncertainty_score":0.012655079},"labels":[],"label_agreement":null},{"id":"W4235850608","doi":"10.21203/rs.3.rs-770709/v1","title":"Data-driven lithium-ion battery capacity estimation from voltage relaxation","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China; Center of Excellence for Learning in Education, Science and Technology","keywords":"Mean squared error; Battery (electricity); Voltage; Support vector machine; Generalizability theory; Artificial neural network; Lithium-ion battery; Computer science; Relaxation (psychology); Artificial intelligence; Mathematics; Statistics; Engineering; Electrical engineering; Power (physics)","score_opus":0.10638465717234595,"score_gpt":0.3694522335461334,"score_spread":0.2630675763737874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235850608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76765895,0.0006100761,0.22284934,0.00020895505,0.000055028417,0.000068992136,0.0017485869,0.0029527124,0.0038473518],"genre_scores_gemma":[0.9897243,0.00008241976,0.00809639,0.000022003822,0.0000068966124,0.0000326171,0.0012835831,0.000026973868,0.0007249409],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992967,0.00000893601,0.000004100449,0.000019829413,0.000026252925,0.000011333921],"domain_scores_gemma":[0.9997516,0.000083462284,0.000036584366,0.000024608991,0.000090885886,0.000012795597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019167642,0.0005028879,0.0003355703,0.0005049771,0.00011057416,0.00037265173,0.0005372449,0.00031499154,0.00070166704],"category_scores_gemma":[0.0010059745,0.00017038909,0.00028427606,0.00046835933,0.00014075956,0.0005777659,0.00027257504,0.00039199583,0.00028076532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002473488,0.00010684685,0.009900206,0.00014445366,0.000050230927,0.00016238418,0.000047699858,0.8849802,0.018265381,0.0004127073,0.0018403698,0.083842166],"study_design_scores_gemma":[0.0000024166834,0.000018457635,0.002241572,0.0000040776417,0.0000030072035,0.0000134356305,0.000010112145,0.9924787,0.0048495363,0.00015683078,0.00021633734,0.0000055625314],"about_ca_topic_score_codex":0.0065918076,"about_ca_topic_score_gemma":0.005442183,"teacher_disagreement_score":0.0065918076,"about_ca_system_score_codex":0.00035932532,"about_ca_system_score_gemma":0.00035068288,"threshold_uncertainty_score":0.013106883},"labels":[],"label_agreement":null},{"id":"W4236750991","doi":"10.1007/978-1-4614-5491-5_911","title":"Micro Energy Conversion Devices","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Materials science; Computer science","score_opus":0.03032896813487865,"score_gpt":0.2514035443285153,"score_spread":0.22107457619363666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236750991","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018523331,0.03938683,0.026088139,0.0009710767,0.004312963,0.00007960998,0.00035689268,0.00065765047,0.9262944],"genre_scores_gemma":[0.005502372,0.012562283,0.004255147,0.0003458633,0.00030368214,0.00005098031,0.0002626411,0.000118276665,0.97659874],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981254,0.00000626483,0.0000038051205,0.00003163321,0.00012930317,0.000016432],"domain_scores_gemma":[0.99994767,0.000012434089,0.0000031016345,0.000009784473,0.000021815993,0.000005202986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000100636425,0.00083512015,0.0005408976,0.00096252654,0.0006158694,0.0013988786,0.0008692647,0.00065284484,0.063434415],"category_scores_gemma":[0.00021946381,0.00040592326,0.0002832991,0.0010423061,0.00037259472,0.001607364,0.0010766761,0.0012700635,0.030562839],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026773027,0.000047057947,0.000069955844,0.00050282246,0.000013275457,0.00008755855,0.0001473417,0.00062271336,0.016167862,0.08273453,0.3148373,0.5847428],"study_design_scores_gemma":[0.000001953933,0.000012152551,0.00011984168,0.00010730865,0.000004555764,0.0001326458,0.00002848985,0.00046189665,0.0036411874,0.008820911,0.9866628,0.0000062160498],"about_ca_topic_score_codex":0.0005860679,"about_ca_topic_score_gemma":0.0026794688,"teacher_disagreement_score":0.063434415,"about_ca_system_score_codex":0.0007304856,"about_ca_system_score_gemma":0.0005053515,"threshold_uncertainty_score":0.21220928},"labels":[],"label_agreement":null},{"id":"W4237298735","doi":"10.1149/ma2011-02/15/752","title":"Physics Based Modeling of a 40 Ah Li-Ion Battery for Geosynchronous Earth Orbit Satellite Applications","year":2011,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Geosynchronous orbit; Low earth orbit; Satellite; Medium Earth orbit; Orbit (dynamics); Physics; Earth (classical element); Aerospace engineering; Astronomy; Astrobiology; Remote sensing; Geology; Engineering","score_opus":0.038697128884336636,"score_gpt":0.25531240580215425,"score_spread":0.21661527691781762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237298735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7883828,0.0012978556,0.09014757,0.0020379333,0.00027100992,0.00023159749,0.0044209124,0.0019750455,0.1112352],"genre_scores_gemma":[0.9852894,0.00030447377,0.0017991866,0.00007726457,0.000019651807,0.00006723973,0.00041671973,0.00006307691,0.01196298],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994993,0.000008078675,0.0000027215015,0.000007098069,0.000021498145,0.000010665224],"domain_scores_gemma":[0.9999136,0.000036801743,0.000006807417,0.0000067852884,0.000025714036,0.00001028763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000113022186,0.0004661386,0.00062484684,0.00034549125,0.00063923193,0.00074427965,0.0012099112,0.0010966737,0.0077240025],"category_scores_gemma":[0.0003073405,0.00027085564,0.00058643555,0.00041798246,0.0003481453,0.00081316935,0.00031210808,0.0005339197,0.0007483463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007479502,0.000034938603,0.0007097004,0.000044139964,0.000018252262,0.00016778898,0.000041235675,0.9894125,0.0046657478,0.0013771566,0.0010387221,0.0024150289],"study_design_scores_gemma":[0.000012454867,0.000030231906,0.0004260399,0.0000032087016,0.0000086602895,0.00002049006,0.000017534687,0.997334,0.0008028287,0.0005487298,0.000789184,0.000006646441],"about_ca_topic_score_codex":0.027809724,"about_ca_topic_score_gemma":0.017448492,"teacher_disagreement_score":0.027809724,"about_ca_system_score_codex":0.0009498702,"about_ca_system_score_gemma":0.00099618,"threshold_uncertainty_score":0.055295765},"labels":[],"label_agreement":null},{"id":"W4237870105","doi":"10.1504/ijiei.2018.091873","title":"General study for energy recovery from used batteries using fuzzy logic and PI controllers","year":2018,"lang":"en","type":"article","venue":"International Journal of Intelligent Engineering Informatics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Computer science; Fuzzy logic; MATLAB; PID controller; Control theory (sociology); Energy (signal processing); Controller (irrigation); Residual; Control engineering; Power (physics); Renewable energy; Control (management); Algorithm; Artificial intelligence; Electrical engineering; Temperature control; Mathematics; Engineering","score_opus":0.027371491699827447,"score_gpt":0.2866319670923754,"score_spread":0.25926047539254793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237870105","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014804041,0.0020300143,0.9737307,0.000091161746,0.000073795745,0.000094399875,0.000026694239,0.00022122273,0.008927919],"genre_scores_gemma":[0.8475788,0.0048540886,0.13453373,0.00010050627,0.000117909534,0.00026194274,0.00009640103,0.00005403716,0.012402467],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974364,0.000036473153,0.0000200421,0.0000582776,0.00012473493,0.00001683162],"domain_scores_gemma":[0.9998553,0.00005296605,0.000010888774,0.000018888257,0.000057650363,0.000004310512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003814608,0.0004410265,0.00037465573,0.0003585513,0.0002853737,0.00070655707,0.0007594418,0.00057789177,0.0022980804],"category_scores_gemma":[0.000649893,0.0001789906,0.00066308153,0.00033310533,0.00029493857,0.00080997625,0.00026098918,0.00055231305,0.00037371938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033975166,0.00025376986,0.001581725,0.0020965664,0.00023224641,0.00084773434,0.0004790407,0.36028266,0.17634133,0.0624986,0.001903176,0.39314342],"study_design_scores_gemma":[0.00004268542,0.00030457362,0.00095576484,0.00008950153,0.0000900354,0.0005281182,0.00007857776,0.9301135,0.03982277,0.011141426,0.016802639,0.000030457988],"about_ca_topic_score_codex":0.0011115797,"about_ca_topic_score_gemma":0.0009863216,"teacher_disagreement_score":0.0022980804,"about_ca_system_score_codex":0.00027934034,"about_ca_system_score_gemma":0.0003914319,"threshold_uncertainty_score":0.0076878667},"labels":[],"label_agreement":null},{"id":"W4238113149","doi":"10.1002/9781118900239.ch1","title":"Introductory Aspects of Electric Vehicles","year":2016,"lang":"en","type":"other","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Automotive engineering; Differential scanning calorimetry; Electric vehicle; Internal combustion engine; Electrically powered spacecraft propulsion; Battery electric vehicle; Electric heating; Electric motor; Battery (electricity); Environmental science; Computer science; Electrical engineering; Propulsion; Engineering; Aerospace engineering; Power (physics); Physics","score_opus":0.008187597821409572,"score_gpt":0.24723898487934387,"score_spread":0.2390513870579343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238113149","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014889016,0.084187105,0.011365585,0.009752296,0.017335432,0.000104747756,0.00060226204,0.00043955763,0.87472403],"genre_scores_gemma":[0.02151273,0.08345382,0.0068486813,0.0050081927,0.017519964,0.00015719072,0.00082158943,0.00031618716,0.86436164],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995092,0.00006841732,0.000041946892,0.000105028725,0.00022509981,0.000050268725],"domain_scores_gemma":[0.9994259,0.00015849559,0.000035363562,0.00006202782,0.00021058136,0.000107684886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005154548,0.0010979887,0.00044941783,0.0015989275,0.00095486594,0.0021351695,0.00086809427,0.0017167585,0.13525787],"category_scores_gemma":[0.001193181,0.0002604376,0.00038880858,0.0014684373,0.00087507744,0.0021008113,0.0011080222,0.0019676622,0.07649731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051792893,0.00013138483,0.0006689953,0.00087430276,0.000011208714,0.0002704584,0.00029024796,0.0006868459,0.0020952132,0.13210087,0.5943502,0.26846847],"study_design_scores_gemma":[0.000001039154,0.000021899661,0.00021128786,0.00011604692,0.0000012303971,0.0001522041,0.000036273133,0.00008979237,0.00007852164,0.010691298,0.98859745,0.0000028682878],"about_ca_topic_score_codex":0.00066762965,"about_ca_topic_score_gemma":0.0010730972,"teacher_disagreement_score":0.13525787,"about_ca_system_score_codex":0.00091472827,"about_ca_system_score_gemma":0.0006033226,"threshold_uncertainty_score":0.45248264},"labels":[],"label_agreement":null},{"id":"W4238830764","doi":"10.1149/ma2019-04/1/26","title":"Strategies for Limiting Gas Evolution in Li-Ion Batteries Applied to the Energy Storage System","year":2019,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Battery (electricity); Energy storage; Process engineering; Coating; Anode; Materials science; Electrolyte; Environmental science; Limiting; Nanotechnology; Computer science; Electrical engineering; Engineering; Mechanical engineering; Electrode; Power (physics); Chemistry; Physics","score_opus":0.013165431377933818,"score_gpt":0.23390880965601799,"score_spread":0.22074337827808416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238830764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7819755,0.029585158,0.1590569,0.0015109353,0.000336609,0.00048520375,0.00017330691,0.0007728577,0.026103443],"genre_scores_gemma":[0.9421021,0.01146778,0.03660091,0.00034232152,0.000058556718,0.00025385446,0.00010032467,0.00006826207,0.009005916],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999881,0.000015633414,0.000012679331,0.000021414122,0.000045519984,0.000023780074],"domain_scores_gemma":[0.9999212,0.000017794053,0.000018995706,0.000006546716,0.000025826941,0.000009647371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022284515,0.0004773315,0.0003387651,0.00032428,0.00028636496,0.00070009433,0.0005583386,0.00042339007,0.0012735025],"category_scores_gemma":[0.00020677311,0.00019005308,0.00017575933,0.00020952598,0.00025585075,0.00075378834,0.00037136668,0.00044823333,0.0006160109],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006105666,0.00006966948,0.00013962167,0.00032594387,0.000008141097,0.00008566664,0.000065080814,0.000923324,0.98028654,0.0016564017,0.00017255779,0.01620604],"study_design_scores_gemma":[0.000013034157,0.00028980884,0.00014626053,0.000026914502,0.000015678279,0.000075662756,0.000030258941,0.0034346946,0.98350835,0.00027777883,0.012173973,0.0000076008137],"about_ca_topic_score_codex":0.0004027489,"about_ca_topic_score_gemma":0.0009814986,"teacher_disagreement_score":0.0012735025,"about_ca_system_score_codex":0.00036976655,"about_ca_system_score_gemma":0.00034529253,"threshold_uncertainty_score":0.0042603016},"labels":[],"label_agreement":null},{"id":"W4239021493","doi":"10.1016/s1464-2859(19)30360-8","title":"Dana e-propulsion unit for Alberta hydrogen powered freight project","year":2019,"lang":"en","type":"article","venue":"Fuel Cells Bulletin","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Truck; Propulsion; Electrification; Engineering; Automotive engineering; Software deployment; Transport engineering; Aeronautics; Trailer; Systems engineering; Aerospace engineering; Electrical engineering; Electricity","score_opus":0.014732175922320684,"score_gpt":0.24311328641558094,"score_spread":0.22838111049326026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239021493","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015697574,0.002163549,0.0062975185,0.009120339,0.001432186,0.00016490193,0.005395903,0.0025230262,0.95720506],"genre_scores_gemma":[0.029612135,0.0009400771,0.0041824,0.0004420885,0.000040342675,0.00002263125,0.0034685251,0.00021952171,0.96107227],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992029,0.000020295987,0.0000052630658,0.000047953792,0.0006202218,0.000103435574],"domain_scores_gemma":[0.99887365,0.00003353128,0.0000136065955,0.00003564794,0.00082449085,0.00021909396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007677133,0.0005450257,0.000170777,0.0008540778,0.0022552116,0.0016251574,0.00069689914,0.0005592624,0.08812389],"category_scores_gemma":[0.0006341705,0.00021254134,0.0001382073,0.00082742336,0.00038033875,0.0006540468,0.0009981765,0.00088918104,0.016831012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001953266,0.000102925165,0.0018611666,0.00005957442,0.000007325694,0.00017641996,0.0001149698,0.00068117905,0.0050324495,0.015483963,0.80388343,0.17240131],"study_design_scores_gemma":[0.000023019416,0.00003792004,0.0032741365,0.00002002773,0.0000063137954,0.0000660361,0.00020620771,0.0011265867,0.0036233612,0.0010267133,0.99057955,0.000010189294],"about_ca_topic_score_codex":0.5205052,"about_ca_topic_score_gemma":0.74898326,"teacher_disagreement_score":0.4794948,"about_ca_system_score_codex":0.0060029808,"about_ca_system_score_gemma":0.024211034,"threshold_uncertainty_score":0.9646373},"labels":[],"label_agreement":null},{"id":"W4239400650","doi":"10.1149/ma2014-02/5/471","title":"Determination of the Voltage-Dependence of Parasitic Heat Flow in Lithium Ion Cells Using Isothermal Microcalorimetry","year":2014,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Joule heating; Thermodynamics; Heat generation; Chemistry; Isothermal process; Materials science; Mechanics; Physics","score_opus":0.013778085998012207,"score_gpt":0.25596640720403646,"score_spread":0.24218832120602427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239400650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8572223,0.0036615855,0.12831843,0.00026447547,0.00013834592,0.0003918962,0.0023054434,0.0020599011,0.0056376574],"genre_scores_gemma":[0.96564883,0.0020304741,0.02956077,0.00013413993,0.00005695594,0.00033216737,0.00058035005,0.00015484326,0.0015014625],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990752,0.00006527626,0.000041581046,0.00017310689,0.0005749976,0.00006980323],"domain_scores_gemma":[0.9991571,0.0004080107,0.000099378005,0.00009823895,0.00020657809,0.00003086327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007197099,0.00057044404,0.0007397224,0.00088219147,0.00044931268,0.0006523485,0.001323577,0.0006126428,0.001324374],"category_scores_gemma":[0.0022881788,0.00035865558,0.0004365903,0.0009959105,0.0007774519,0.000770845,0.00047134436,0.001488595,0.000724302],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006343483,0.000073973104,0.0014660127,0.00018533434,0.000016597607,0.000064161155,0.00026616768,0.0014912605,0.9835481,0.00021408299,0.00018677137,0.012424049],"study_design_scores_gemma":[0.0000038059902,0.00014900451,0.005387356,0.000015275065,0.0000123624,0.000079411635,0.00006105052,0.0156644,0.97764677,0.0001438018,0.00081125303,0.00002555951],"about_ca_topic_score_codex":0.0014826971,"about_ca_topic_score_gemma":0.0025550663,"teacher_disagreement_score":0.0014826971,"about_ca_system_score_codex":0.0010632074,"about_ca_system_score_gemma":0.00031597717,"threshold_uncertainty_score":0.007714212},"labels":[],"label_agreement":null},{"id":"W4240571444","doi":"10.1021/es1029156","title":"Contribution of Li-Ion Batteries to the Environmental Impact of Electric Vehicles","year":2010,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Ion; Environmental science; Automotive engineering; Engineering; Chemistry","score_opus":0.0038158108288952075,"score_gpt":0.23322525618110795,"score_spread":0.22940944535221275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240571444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8160109,0.05055889,0.017093685,0.0018125714,0.0003645669,0.000091717506,0.0015276719,0.0001805726,0.11235941],"genre_scores_gemma":[0.9567275,0.029512104,0.0014087162,0.00015130386,0.0001152951,0.000025109968,0.00048057546,0.000043313332,0.011536143],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9995454,0.00008656557,0.000025108955,0.000045054447,0.00023349198,0.000064279106],"domain_scores_gemma":[0.999595,0.00011116183,0.00005201362,0.000019480012,0.00020084358,0.000021665512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034747334,0.00079092645,0.000437778,0.0013505054,0.0005052501,0.0013887441,0.00039712182,0.0006396497,0.0031621289],"category_scores_gemma":[0.00077156926,0.00024296608,0.00036856503,0.0013312198,0.0003418097,0.0010167661,0.00091678917,0.00038801783,0.00064215803],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001671009,0.0003734755,0.13671534,0.0033954566,0.0006955251,0.0043454035,0.0005906668,0.15932648,0.07782584,0.02304608,0.005383854,0.58663094],"study_design_scores_gemma":[0.0000908848,0.0018691218,0.19534737,0.0011346282,0.0014515845,0.0051278523,0.0036434287,0.069236025,0.22675063,0.09292433,0.40209153,0.00033259438],"about_ca_topic_score_codex":0.003762417,"about_ca_topic_score_gemma":0.0045378804,"teacher_disagreement_score":0.003762417,"about_ca_system_score_codex":0.00085364457,"about_ca_system_score_gemma":0.00063136197,"threshold_uncertainty_score":0.010578334},"labels":[],"label_agreement":null},{"id":"W4240929367","doi":"10.1109/ias.1990.152416","title":"Understanding commercial losses resulting from electric service interruptions","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Respondent; Duration (music); Standby power; Reliability engineering; Computer science; Service (business); Consumption (sociology); Business; Telecommunications; Engineering; Electrical engineering; Marketing","score_opus":0.19346410413371515,"score_gpt":0.29912134818728936,"score_spread":0.10565724405357421,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240929367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93628615,0.002121992,0.011271728,0.002304197,0.00004568022,0.00005945694,0.00070291467,0.00012031727,0.047087613],"genre_scores_gemma":[0.9944325,0.0013065403,0.0008334956,0.00008400187,0.0000328941,0.000015241084,0.00031723446,0.000013498461,0.002964721],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9992762,0.00014076737,0.000050977753,0.000059874594,0.0003531535,0.00011892868],"domain_scores_gemma":[0.99650913,0.0018745244,0.00072579476,0.00010310597,0.0006900151,0.00009738854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009476227,0.00035935396,0.00023204366,0.0015571038,0.00043705248,0.002257509,0.00063884124,0.0006511919,0.0047577485],"category_scores_gemma":[0.007062434,0.00017612705,0.00026179315,0.0012980464,0.00046065816,0.0030557953,0.00071019004,0.00070394465,0.000564907],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011981489,0.0007325011,0.4000079,0.00096348475,0.0001628343,0.004369536,0.024757091,0.035884555,0.008275037,0.01684918,0.01828826,0.48851138],"study_design_scores_gemma":[0.000033409844,0.0007325394,0.8165576,0.00041620465,0.00021977168,0.0043215565,0.055535592,0.053187184,0.005572146,0.021627758,0.041710537,0.00008573164],"about_ca_topic_score_codex":0.0063295094,"about_ca_topic_score_gemma":0.0044712895,"teacher_disagreement_score":0.0063295094,"about_ca_system_score_codex":0.0014412442,"about_ca_system_score_gemma":0.00038163466,"threshold_uncertainty_score":0.015916288},"labels":[],"label_agreement":null},{"id":"W4241703793","doi":"10.3390/batteries6030041","title":"SOC Estimation of a Rechargeable Li-Ion Battery Used in Fuel Cell Hybrid Electric Vehicles—Comparative Study of Accuracy and Robustness Performance Based on Statistical Criteria. Part II: SOC Estimators","year":2020,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"John Abbott College; Concordia University","funders":"","keywords":"State of charge; Estimator; Robustness (evolution); Extended Kalman filter; Control theory (sociology); Nonlinear system; Computer science; Kalman filter; Battery (electricity); MATLAB; Algorithm; Mathematics; Chemistry; Artificial intelligence; Statistics; Physics","score_opus":0.04171707632071575,"score_gpt":0.29760813941856623,"score_spread":0.2558910630978505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241703793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7150156,0.0015757472,0.27996498,0.00012133442,0.000049802667,0.00005500312,0.00028960503,0.0007592469,0.0021687963],"genre_scores_gemma":[0.9940162,0.0002348528,0.005308393,0.000008169222,0.0000073529623,0.000013187089,0.00014465633,0.000010937205,0.0002562705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977833,0.00004027628,0.000019629992,0.00003956434,0.00010278733,0.000019385981],"domain_scores_gemma":[0.9993243,0.0002896614,0.00010381936,0.000060520633,0.0002135715,0.000008181468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056306645,0.00046492802,0.0004215974,0.0007101385,0.00014937122,0.00046989226,0.00038311348,0.00040823803,0.00033928757],"category_scores_gemma":[0.0021848797,0.0001294047,0.00037890673,0.00040389696,0.00017318988,0.0006774931,0.00029788745,0.00020240385,0.000097763674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005748612,0.0000719056,0.035547983,0.0004186614,0.00023752794,0.00020927169,0.00013368517,0.78250986,0.03621755,0.0011960553,0.00041721694,0.14246537],"study_design_scores_gemma":[0.000008256748,0.00015442644,0.009973849,0.000014985583,0.00003772085,0.00007380582,0.00004330007,0.96716076,0.021812055,0.00029039662,0.0004111991,0.000019208208],"about_ca_topic_score_codex":0.004772621,"about_ca_topic_score_gemma":0.0030528144,"teacher_disagreement_score":0.004772621,"about_ca_system_score_codex":0.00030453026,"about_ca_system_score_gemma":0.00028856847,"threshold_uncertainty_score":0.009489715},"labels":[],"label_agreement":null},{"id":"W4242370887","doi":"10.1515/iupac.83.0068","title":"Electronic Energy Migration (or Hopping)","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Glossary; Chemical nomenclature; Photocatalysis; Compendium; Terminology; Chemistry; Nanotechnology; Materials science; Catalysis; Organic chemistry; History; Archaeology","score_opus":0.011363446412776227,"score_gpt":0.367460268031106,"score_spread":0.3560968216183298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242370887","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00028464608,0.00026818147,0.0001343304,0.00003854853,0.000033304488,0.000017345585,0.9973341,0.0003386254,0.0015508791],"genre_scores_gemma":[0.00079656666,0.0002869351,0.00052173616,0.000048980735,0.00000892567,0.000095340256,0.99690753,0.00006582748,0.0012681956],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990256,0.00011010586,0.00018821206,0.00032881033,0.00022032777,0.0001269551],"domain_scores_gemma":[0.99874806,0.00036798953,0.00018685528,0.00035814883,0.00027019327,0.00006887171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055945467,0.002046127,0.0011704587,0.0044203233,0.0008211871,0.0023228917,0.0024089804,0.0012908968,0.05725399],"category_scores_gemma":[0.0040652775,0.0004776198,0.002156331,0.0071816333,0.00032119302,0.002008811,0.0017509743,0.0016177216,0.07289367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015020532,0.000040356877,0.0032613405,0.0030869227,0.00007248736,0.000046713292,0.000050549395,0.00087200577,0.00034387357,0.0019851245,0.9763801,0.013710278],"study_design_scores_gemma":[0.00012039791,0.000025069483,0.005993697,0.0007189254,0.000051831852,0.000113769005,0.00009419953,0.00065436616,0.000553977,0.0031261737,0.9885151,0.00003251325],"about_ca_topic_score_codex":0.015625538,"about_ca_topic_score_gemma":0.030683128,"teacher_disagreement_score":0.05725399,"about_ca_system_score_codex":0.0009940815,"about_ca_system_score_gemma":0.0016783918,"threshold_uncertainty_score":0.19153368},"labels":[],"label_agreement":null},{"id":"W4244124542","doi":"10.22215/etd/2014-10434","title":"A Hydrogel Based Thermal Management System for Lithium-ion Batteries","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Lithium (medication); Battery pack; Thermal; Range (aeronautics); Thermal management of electronic devices and systems; Automotive engineering; Materials science; Nuclear engineering; Ion; Computer science; Engineering; Electrical engineering; Mechanical engineering; Chemistry; Composite material","score_opus":0.01125807828929274,"score_gpt":0.25598171411417603,"score_spread":0.2447236358248833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244124542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9224424,0.005546286,0.06348908,0.00023424494,0.00016540867,0.00017757932,0.00028006986,0.0006911541,0.006973838],"genre_scores_gemma":[0.9660026,0.001884306,0.023742443,0.00008327826,0.00003286717,0.0001006361,0.00014190341,0.000035385667,0.0079766875],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99995005,0.0000036461815,0.0000037079722,0.0000116652,0.00002426488,0.000006597045],"domain_scores_gemma":[0.9999602,0.0000041977646,0.000013929241,0.0000031687237,0.000011400385,0.000007020486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000709978,0.00024186104,0.00011096212,0.0001511121,0.00012802602,0.00017102389,0.00022660739,0.00018237825,0.0009872189],"category_scores_gemma":[0.00009848904,0.000085509426,0.00016053052,0.00013978822,0.000082372644,0.00036690055,0.00015442123,0.00021129606,0.00033318507],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002297076,0.000018239461,0.00009776433,0.00007546368,0.0000024002416,0.000039918665,0.000017328694,0.00015616781,0.9903437,0.0001335164,0.00010571389,0.008986928],"study_design_scores_gemma":[0.000006327215,0.00020348455,0.0008152814,0.000007021793,0.000011254488,0.00021160135,0.000012636444,0.0023590825,0.9918371,0.000029837882,0.00449801,0.000008292764],"about_ca_topic_score_codex":0.00022149559,"about_ca_topic_score_gemma":0.00030792414,"teacher_disagreement_score":0.0009872189,"about_ca_system_score_codex":0.00018336064,"about_ca_system_score_gemma":0.000110976194,"threshold_uncertainty_score":0.0033026338},"labels":[],"label_agreement":null},{"id":"W4244463927","doi":"10.1109/ias.1990.152415","title":"Understanding industrial losses resulting from electric service interruptions","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Reliability engineering; Estimator; Production (economics); Service (business); Computer science; Battery (electricity); Standby power; Business; Environmental economics; Operations research; Operations management; Risk analysis (engineering); Automotive engineering; Engineering; Economics; Statistics; Electrical engineering; Marketing; Mathematics; Microeconomics; Power (physics)","score_opus":0.28350573482465213,"score_gpt":0.2973912273223028,"score_spread":0.013885492497650642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244463927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98416615,0.0006156408,0.006235702,0.00040519895,0.0000113015285,0.00002253355,0.00019101803,0.000027303719,0.008325175],"genre_scores_gemma":[0.99816614,0.0004617762,0.0006171086,0.000029336648,0.000012068395,0.000008644995,0.000105932864,0.0000041811086,0.00059493666],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99882907,0.0003859728,0.000072695315,0.00007700962,0.000532359,0.000102806334],"domain_scores_gemma":[0.9926755,0.004650311,0.0015559717,0.00016029745,0.000849727,0.000108173044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014953975,0.00033097147,0.00018715515,0.0011296662,0.00027945326,0.0014623223,0.00037949072,0.00041214167,0.0026630433],"category_scores_gemma":[0.012373413,0.00014512369,0.00024133264,0.00086909905,0.00038850828,0.0015471425,0.00059743476,0.0005166408,0.00019640519],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010724941,0.00056446576,0.6172579,0.00077316066,0.00020619671,0.000877437,0.021600971,0.025670368,0.006121839,0.0047828215,0.003730966,0.3173413],"study_design_scores_gemma":[0.000016055468,0.0006759866,0.9413944,0.0001749942,0.00015286663,0.0008463882,0.02515114,0.018464113,0.0024043801,0.004104039,0.0065710167,0.000044639888],"about_ca_topic_score_codex":0.0029485126,"about_ca_topic_score_gemma":0.002639503,"teacher_disagreement_score":0.0029485126,"about_ca_system_score_codex":0.0009026457,"about_ca_system_score_gemma":0.00022771976,"threshold_uncertainty_score":0.008908749},"labels":[],"label_agreement":null},{"id":"W4244727763","doi":"10.1109/itherm51669.2021.9503127","title":"Richard Chu ITherm Award for Excellence","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"American Society for Engineering Education","keywords":"Battery (electricity); Battery pack; Computer science; Scalability; Electric vehicle; Lithium-ion battery; Automotive engineering; Heat generation; Materials science; Electrical engineering; Mechanical engineering; Engineering; Physics","score_opus":0.02310591485010776,"score_gpt":0.27780107455973563,"score_spread":0.25469515970962786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244727763","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011091229,0.017253617,0.0033499738,0.2816985,0.1736645,0.000254234,0.0013146326,0.00093230925,0.5204231],"genre_scores_gemma":[0.004673951,0.007718655,0.0013196804,0.016102867,0.00881493,0.00009685859,0.0006235319,0.00020935047,0.96044016],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99499124,0.0004699205,0.0001711244,0.0006998784,0.0028564527,0.00081141957],"domain_scores_gemma":[0.9873768,0.0003651223,0.00026598523,0.00041576076,0.0051296023,0.006446753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003774271,0.00097386335,0.0010350671,0.001152003,0.002095186,0.0057504755,0.0017211305,0.0045749065,0.2960644],"category_scores_gemma":[0.008421558,0.0003894219,0.00071824226,0.0006772178,0.0008919856,0.0025713365,0.004964202,0.005063656,0.1891695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018267876,0.000016827633,0.000055316566,0.000031120173,0.0000031910631,0.000046815563,0.00001604672,0.000025513209,0.000118886026,0.004591769,0.9714938,0.023582377],"study_design_scores_gemma":[0.00000611223,0.00002018744,0.00011738269,0.00003970212,0.0000023926846,0.000076049255,0.000020914047,0.000049623435,0.00007532235,0.00071393553,0.9988732,0.00000506656],"about_ca_topic_score_codex":0.0035246138,"about_ca_topic_score_gemma":0.008523653,"teacher_disagreement_score":0.2960644,"about_ca_system_score_codex":0.003288355,"about_ca_system_score_gemma":0.012064357,"threshold_uncertainty_score":0.9904341},"labels":[],"label_agreement":null},{"id":"W4245058425","doi":"10.1145/871516.871521","title":"Analysis of discharge techniques for multiple battery systems","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Schedule; Battery (electricity); Computer science; Scheduling (production processes); Job shop scheduling; Reliability engineering; Engineering; Mathematical optimization; Mathematics; Power (physics); Physics","score_opus":0.020883070908819225,"score_gpt":0.2797310786862718,"score_spread":0.25884800777745254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245058425","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14581464,0.0015192697,0.84304255,0.00041314244,0.00004373738,0.00014538875,0.00009575633,0.00034059767,0.008584943],"genre_scores_gemma":[0.9129007,0.001010628,0.07802564,0.0001000102,0.000061012404,0.00016513602,0.000139727,0.0001829026,0.0074142385],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99933296,0.00010686568,0.000028371567,0.00008301178,0.0003143909,0.00013445082],"domain_scores_gemma":[0.9971739,0.0018743649,0.0003130867,0.00016442842,0.00038051573,0.0000936607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001393505,0.00056387816,0.00073207414,0.000827117,0.00056969473,0.00075046666,0.0011514314,0.00079914177,0.0042816247],"category_scores_gemma":[0.008481794,0.00038834498,0.00078191573,0.0007478979,0.00064876175,0.0017714773,0.0010955079,0.0009130121,0.00034448697],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096226,0.000059673148,0.00096076593,0.00028705376,0.000043397198,0.00015654648,0.0001553177,0.90226483,0.009627907,0.032407098,0.00083563343,0.05310551],"study_design_scores_gemma":[0.000011803085,0.000094364776,0.00023947244,0.000011496683,0.000015862834,0.0000949759,0.000033988395,0.98596907,0.0024919272,0.009749868,0.0012803708,0.000006691365],"about_ca_topic_score_codex":0.0018968747,"about_ca_topic_score_gemma":0.0012551347,"teacher_disagreement_score":0.0042816247,"about_ca_system_score_codex":0.0013977122,"about_ca_system_score_gemma":0.00094170973,"threshold_uncertainty_score":0.014323413},"labels":[],"label_agreement":null},{"id":"W4245321531","doi":"10.1149/ma2009-02/5/228","title":"Surface Modification and Fabrication of Li-Ion Battery Components for Plug-in Hybrid Electric Vehicle","year":2009,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Fabrication; Surface modification; Battery (electricity); Materials science; Electric vehicle; Spark plug; Ion; Automotive engineering; Nanotechnology; Engineering; Chemistry; Chemical engineering; Mechanical engineering; Physics; Power (physics)","score_opus":0.026738313008573558,"score_gpt":0.27191674711692004,"score_spread":0.2451784341083465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245321531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9751218,0.0009683986,0.01766268,0.0001742392,0.00015664256,0.00007356856,0.0002103679,0.00030876845,0.0053234883],"genre_scores_gemma":[0.9802106,0.00058154936,0.01110078,0.000040141447,0.000014234412,0.000048458867,0.00032935358,0.000065142456,0.0076096854],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999181,0.000005352009,0.0000043219798,0.000011520959,0.00004724386,0.000013528056],"domain_scores_gemma":[0.999938,0.00000793717,0.00000761377,0.000011028069,0.000029890274,0.000005474665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001029472,0.00025256787,0.00015203259,0.00016272384,0.00014421517,0.00030129869,0.00030907118,0.00027515998,0.0014130675],"category_scores_gemma":[0.00020695281,0.00014477994,0.00017500612,0.00014395536,0.000106432424,0.0002159206,0.00014330646,0.00023007461,0.00050139794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030146924,0.0000145215845,0.00013552558,0.00003241871,0.0000040048126,0.000024182258,0.000016094791,0.00015381156,0.9958916,0.000079125144,0.00014450306,0.0034740258],"study_design_scores_gemma":[0.0000039077386,0.00008417617,0.00089352217,0.0000016142959,0.0000061823894,0.000042508673,0.000014303541,0.0010476433,0.9954188,0.000029582532,0.0024554925,0.0000023683237],"about_ca_topic_score_codex":0.00038351564,"about_ca_topic_score_gemma":0.0009266549,"teacher_disagreement_score":0.0014130675,"about_ca_system_score_codex":0.00016189153,"about_ca_system_score_gemma":0.00011137204,"threshold_uncertainty_score":0.004727185},"labels":[],"label_agreement":null},{"id":"W4245384879","doi":"10.22215/etd/2014-10952","title":"The Influence of Internal Parameters on the Electrochemical and Thermal Behaviours of Lithium-Ion Batteries","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrolyte; Electrochemistry; Lithium (medication); Materials science; Electrode; Battery (electricity); Thermal; Ion; Energy storage; Thermal stability; Chemical engineering; Chemistry; Thermodynamics; Engineering","score_opus":0.008103768284638513,"score_gpt":0.25773507506915133,"score_spread":0.2496313067845128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245384879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97040904,0.008033119,0.006713837,0.000219812,0.0001656515,0.000040529038,0.00025218012,0.00011168336,0.01405413],"genre_scores_gemma":[0.9900002,0.004340901,0.0012583581,0.00004405122,0.000022864286,0.000022741871,0.00016565296,0.00004441027,0.004100907],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998216,0.000015430363,0.000012654817,0.000027148108,0.00010067006,0.000022532473],"domain_scores_gemma":[0.999665,0.00009672502,0.000045834164,0.000027547865,0.00014364002,0.000021216607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028224362,0.00028497376,0.0003258031,0.00020043156,0.00026789063,0.00087293127,0.00029779604,0.00024573682,0.0017073432],"category_scores_gemma":[0.0011202898,0.00022087766,0.00017982128,0.00039807396,0.0002806286,0.00076658605,0.00028825804,0.0005568579,0.0005210643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038422315,0.00018689662,0.0039577354,0.0009662722,0.00005147299,0.0003870461,0.0011524786,0.012696044,0.9069687,0.0026417673,0.0016453845,0.06896198],"study_design_scores_gemma":[0.000011363025,0.0002894369,0.008039604,0.00008486616,0.00006702092,0.0002523873,0.00047945496,0.012369635,0.967933,0.00076209573,0.00965346,0.000057791734],"about_ca_topic_score_codex":0.00028215133,"about_ca_topic_score_gemma":0.00034851435,"teacher_disagreement_score":0.0017073432,"about_ca_system_score_codex":0.00023115288,"about_ca_system_score_gemma":0.0001335371,"threshold_uncertainty_score":0.005711615},"labels":[],"label_agreement":null},{"id":"W4246941070","doi":"10.1109/evs.2013.6915051","title":"Application of the thermal impedance spectroscopy method in three dimensions to a large prismatic Li-ion cell","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministère des Transports","funders":"Université Laval","keywords":"Dielectric spectroscopy; Materials science; Electrical impedance; Work (physics); Thermal conductivity; Discretization; Thermal; Characterization (materials science); Spectroscopy; Ion; Composite material; Thermodynamics; Chemistry; Physics; Electrical engineering; Nanotechnology; Engineering; Mathematics; Mathematical analysis; Electrode","score_opus":0.008368179964374988,"score_gpt":0.2785612199057693,"score_spread":0.2701930399413943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246941070","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42018872,0.0006585116,0.572977,0.00030229386,0.00012357043,0.00011515701,0.00057265215,0.0015662869,0.0034957917],"genre_scores_gemma":[0.90452945,0.00029818754,0.09424291,0.00003508082,0.000008054911,0.00006219248,0.0001457821,0.000027599663,0.0006507883],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997633,0.000027402,0.000015181071,0.000052397405,0.00012791227,0.000013928941],"domain_scores_gemma":[0.999739,0.00009375354,0.00002796305,0.00005918152,0.00006511035,0.000014983966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025212904,0.00031287284,0.0005186296,0.00029818635,0.00023553745,0.0004676616,0.0006989294,0.00036910054,0.00085966947],"category_scores_gemma":[0.00047388682,0.00019932979,0.0002977134,0.00061996304,0.00036383714,0.00043250303,0.00041141844,0.00052810425,0.00023001012],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009678614,0.000028342922,0.00056404865,0.00012295446,0.000015133013,0.0001255596,0.00007381994,0.014797326,0.96483886,0.0016199589,0.0001905426,0.017526768],"study_design_scores_gemma":[0.000030227846,0.0003262827,0.0020491304,0.000010603739,0.000020547768,0.0004530613,0.00009363539,0.3008377,0.69234025,0.0013554483,0.0024222555,0.00006082938],"about_ca_topic_score_codex":0.0013657791,"about_ca_topic_score_gemma":0.001550909,"teacher_disagreement_score":0.0013657791,"about_ca_system_score_codex":0.00045256017,"about_ca_system_score_gemma":0.00057157304,"threshold_uncertainty_score":0.0032836199},"labels":[],"label_agreement":null},{"id":"W4247818335","doi":"10.32920/ryerson.14661498","title":"Design and implementation of automatic phase changer","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Voltage; Phase (matter); Three-phase; Computer science; Power (physics); Electrical engineering; Engineering; Physics","score_opus":0.04921355067738905,"score_gpt":0.36959000023236965,"score_spread":0.3203764495549806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247818335","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053171206,0.0003623016,0.90175205,0.00023794027,0.00024745698,0.0006418258,0.00035022918,0.016893942,0.026343085],"genre_scores_gemma":[0.7521815,0.0002341194,0.22976324,0.00016869293,0.000051594663,0.00053097965,0.0004338783,0.00053475954,0.016101368],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992908,0.0001095024,0.00003951455,0.00013933604,0.0003346274,0.00008608132],"domain_scores_gemma":[0.99955374,0.000058945207,0.000048416354,0.000085567146,0.00022218253,0.000031170224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004140054,0.00050399377,0.00047946585,0.000446433,0.00030701834,0.00093635195,0.0021100352,0.00074370747,0.008766043],"category_scores_gemma":[0.000677403,0.00033210524,0.00035314725,0.00029783093,0.00022878137,0.0005712237,0.000333905,0.0005420765,0.0030233774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011819438,0.0005816264,0.004417669,0.0016076718,0.00021076063,0.0010374686,0.00060078606,0.26437598,0.29520082,0.02964091,0.021062657,0.3800817],"study_design_scores_gemma":[0.00027358814,0.0015056614,0.0021581245,0.00007626697,0.00014636634,0.0009867172,0.0000757279,0.67811793,0.203571,0.0031901235,0.109819375,0.00007909837],"about_ca_topic_score_codex":0.0011741974,"about_ca_topic_score_gemma":0.0006814961,"teacher_disagreement_score":0.008766043,"about_ca_system_score_codex":0.00042396193,"about_ca_system_score_gemma":0.00065689126,"threshold_uncertainty_score":0.029325366},"labels":[],"label_agreement":null},{"id":"W4250204583","doi":"10.2172/885999","title":"Testing of the Semikron Validation AIPM Unit at Oak Ridge National Laboratory: January 2005","year":2005,"lang":"en","type":"report","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Oak Ridge National Laboratory; Ridge; Quarter (Canadian coin); National laboratory; National standard; Environmental science; Engineering; Geography; Archaeology; Physics; Cartography; Nuclear physics; Engineering physics","score_opus":0.06159816501749868,"score_gpt":0.3168396245988223,"score_spread":0.2552414595813236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250204583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9084499,0.0005793098,0.031574845,0.000390039,0.00016248191,0.00073482917,0.0035970837,0.003853503,0.050658002],"genre_scores_gemma":[0.9369683,0.00014326202,0.011440693,0.0002151231,0.00002006349,0.0002430417,0.0047074133,0.00035506705,0.04590698],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982905,0.00016038393,0.00005316142,0.00018097625,0.0011887125,0.00012620461],"domain_scores_gemma":[0.99859875,0.00011478331,0.00007588957,0.000183146,0.0009694597,0.00005792655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018106702,0.0003925369,0.0003160606,0.00043975597,0.0007211026,0.00069110637,0.0014609569,0.0006875323,0.007525026],"category_scores_gemma":[0.0016202019,0.00028996533,0.00023410926,0.00024802782,0.00038689605,0.00087066396,0.00063429255,0.0005940186,0.0025349197],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003163176,0.0012939337,0.047787737,0.0005959675,0.0001192975,0.00094788725,0.0014647774,0.0071214396,0.5956449,0.004990191,0.04660298,0.29026774],"study_design_scores_gemma":[0.00022227092,0.0050206287,0.09915232,0.00012540475,0.000064313856,0.001051801,0.0003531957,0.015784206,0.7222691,0.00059143896,0.15528373,0.000081517406],"about_ca_topic_score_codex":0.0028743027,"about_ca_topic_score_gemma":0.0062336302,"teacher_disagreement_score":0.007525026,"about_ca_system_score_codex":0.00093166524,"about_ca_system_score_gemma":0.001168306,"threshold_uncertainty_score":0.025173724},"labels":[],"label_agreement":null},{"id":"W4250934332","doi":"10.47749/t/unicamp.2017.991458","title":"Planejamento de curto prazo da operação de baterias e armazenamento de hidrogênio em sistemas de distribuição de energia elétrica","year":2017,"lang":"pt","type":"dissertation","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Intertek (Canada)","funders":"","keywords":"Physics; Environmental science","score_opus":0.02544952402995816,"score_gpt":0.32458801168091284,"score_spread":0.2991384876509547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250934332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7380173,0.0026186237,0.22296022,0.0008068655,0.00022480331,0.00031556506,0.0003273214,0.0025162965,0.032212965],"genre_scores_gemma":[0.966553,0.00066929415,0.025454227,0.0000697374,0.000032691994,0.00006277961,0.00012944776,0.00009088178,0.006937856],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946696,0.00007705124,0.00003128354,0.00012617778,0.0002145145,0.00008405742],"domain_scores_gemma":[0.99911624,0.00028689965,0.00010016174,0.00014909974,0.00027979672,0.00006786803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064090616,0.00038618248,0.00045215094,0.0004236949,0.0005159786,0.0021260323,0.0005517582,0.00049887126,0.003475736],"category_scores_gemma":[0.0020475062,0.00026292953,0.0003760366,0.00035703363,0.00034012296,0.0010347274,0.00063945405,0.00071018323,0.00080336945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001981809,0.0004341832,0.014911517,0.0007096927,0.00012100167,0.00026092853,0.0024143534,0.051230326,0.48010305,0.017124657,0.0027239115,0.4279846],"study_design_scores_gemma":[0.00025253245,0.0027061559,0.07292534,0.0002875182,0.00035621919,0.00055567024,0.002564404,0.333316,0.5061393,0.012045538,0.06868242,0.00016894781],"about_ca_topic_score_codex":0.0028917058,"about_ca_topic_score_gemma":0.0043998035,"teacher_disagreement_score":0.003475736,"about_ca_system_score_codex":0.0006968865,"about_ca_system_score_gemma":0.0009008161,"threshold_uncertainty_score":0.011627436},"labels":[],"label_agreement":null},{"id":"W4251652261","doi":"10.22215/etd/2017-13861","title":"Development of Preheating and Power Inverting Systems for Lithium-Ion Batteries","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Joule heating; Battery (electricity); Heating system; Battery pack; Electrical engineering; Nuclear engineering; Electric heating; Lithium (medication); Internal resistance; Automotive engineering; Inverter; Lithium-ion battery; Power (physics); Energy storage; Current (fluid); Internal heating; Materials science; Engineering; Mechanical engineering; Thermodynamics; Voltage; Physics","score_opus":0.025652715436307073,"score_gpt":0.2991349608600284,"score_spread":0.2734822454237213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251652261","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29630846,0.0041739917,0.6733704,0.00032967186,0.00038570634,0.00087221613,0.0002067491,0.0032479225,0.021104896],"genre_scores_gemma":[0.7956019,0.0025649993,0.1829929,0.0001024273,0.00007915075,0.00040771245,0.0002142901,0.00013235942,0.017904196],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998568,0.000008484811,0.000011891649,0.00002712065,0.000083191175,0.000012433268],"domain_scores_gemma":[0.9998963,0.000015271733,0.000014746892,0.000009733056,0.000057241294,0.00000673993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017019181,0.0002736079,0.000253851,0.00024580618,0.00017142274,0.00035063294,0.0006101124,0.0002160217,0.0017276923],"category_scores_gemma":[0.00027204485,0.0001878302,0.00020665977,0.00017063653,0.00012053234,0.0005462145,0.00021586461,0.0003693964,0.0005160135],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008204757,0.00008113641,0.00062693225,0.0005167537,0.000013983561,0.00013930022,0.00025628414,0.0037347921,0.7776367,0.0030278673,0.0010649086,0.21281928],"study_design_scores_gemma":[0.000036400324,0.0007589029,0.0025952265,0.000045796125,0.000033954402,0.00039616734,0.00006788126,0.060265735,0.8894974,0.0006106395,0.045662683,0.000029313935],"about_ca_topic_score_codex":0.0003884914,"about_ca_topic_score_gemma":0.00051109446,"teacher_disagreement_score":0.0017276923,"about_ca_system_score_codex":0.0002415953,"about_ca_system_score_gemma":0.0002707857,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4252511478","doi":"10.1109/iecec.2000.870617","title":"A novel start system for an aircraft auxiliary power unit","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Honeywell (Canada)","funders":"Astellas Pharma US","keywords":"Auxiliary power unit; Automotive engineering; Engineering; Electrical engineering; Battery (electricity); Reliability (semiconductor); Power (physics); Voltage","score_opus":0.05173423388538626,"score_gpt":0.27575433949523254,"score_spread":0.22402010560984628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252511478","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09765125,0.0011789761,0.8520658,0.0002599096,0.0008008768,0.0005398845,0.000414335,0.01155982,0.03552914],"genre_scores_gemma":[0.682974,0.00074419245,0.2498481,0.00036221428,0.00075724476,0.0006561703,0.0011783552,0.0004642446,0.06301547],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996939,0.000026887128,0.000015993435,0.000066321176,0.00016612335,0.00003083974],"domain_scores_gemma":[0.9997645,0.000029798171,0.00002887802,0.000032466203,0.00009169044,0.000052770214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015576818,0.00047012838,0.0004896132,0.0006004397,0.00050265907,0.00062751933,0.0009104282,0.0005149846,0.008500738],"category_scores_gemma":[0.0002535803,0.00025760577,0.00026925033,0.00026799514,0.00019887552,0.00078542373,0.0007010952,0.00058076804,0.0033904843],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010619435,0.00029435157,0.0026774437,0.0011013995,0.0000879342,0.0015251599,0.0004893904,0.008530973,0.5004543,0.016022678,0.02035467,0.4473997],"study_design_scores_gemma":[0.0006313393,0.0043937187,0.010918765,0.00016235054,0.00024689743,0.0062241945,0.00013099225,0.123528436,0.33092788,0.0037491668,0.51886153,0.00022473601],"about_ca_topic_score_codex":0.00033571798,"about_ca_topic_score_gemma":0.00044136186,"teacher_disagreement_score":0.008500738,"about_ca_system_score_codex":0.00026759072,"about_ca_system_score_gemma":0.00042263293,"threshold_uncertainty_score":0.028437734},"labels":[],"label_agreement":null},{"id":"W4252517049","doi":"10.1149/ma2019-01/4/489","title":"Influence of the Formulation on the Microstructure and Thus Performance of Li-Ion Batteries","year":2019,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Microstructure; Materials science; Tortuosity; Porosity; Composite material; Carbon black; Power density; Carbon nanofiber; Carbon fibers; Power (physics); Carbon nanotube; Thermodynamics; Natural rubber","score_opus":0.007849553924484406,"score_gpt":0.221581877022268,"score_spread":0.2137323230977836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252517049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970585,0.0008345119,0.001012441,0.000036217632,0.000022382363,0.00003090587,0.00013424309,0.000021476539,0.0008495027],"genre_scores_gemma":[0.99549603,0.0008888311,0.0022738543,0.000031965894,0.000008646226,0.000039912655,0.00013572004,0.000028784274,0.0010963344],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997503,0.00005757525,0.000037519636,0.000052875508,0.00006678394,0.000035003646],"domain_scores_gemma":[0.9994861,0.00021325151,0.00012210285,0.000031965905,0.000114360824,0.0000321551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040461513,0.0003285708,0.0002986863,0.00019573944,0.0001396932,0.00047687534,0.00025499208,0.00031766412,0.0007993474],"category_scores_gemma":[0.0011734986,0.00017589646,0.00016937619,0.0002444518,0.00020355717,0.00033573562,0.00017893838,0.00031234176,0.00020766913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002860066,0.00006804995,0.00043867333,0.000119039534,0.000010434952,0.000051807707,0.00004808403,0.00036177904,0.9960955,0.000044534798,0.000043979784,0.002432014],"study_design_scores_gemma":[0.000010923512,0.0007454103,0.0031248895,0.000011646242,0.000040437066,0.00005475206,0.000039798644,0.0011797034,0.99400043,0.0000205563,0.0007620083,0.000009616129],"about_ca_topic_score_codex":0.0006728666,"about_ca_topic_score_gemma":0.0011361203,"teacher_disagreement_score":0.0007993474,"about_ca_system_score_codex":0.00020137592,"about_ca_system_score_gemma":0.00017660162,"threshold_uncertainty_score":0.0026741028},"labels":[],"label_agreement":null},{"id":"W4252695490","doi":"10.31224/osf.io/8yq7n","title":"ENPOLITE: Comparing Lithium-Ion Cells across Energy, Power, Lifetime, and Temperature","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Nuclear Security Administration; Dalhousie University; Office of Electricity; Bundesministerium für Wirtschaft und Energie; Sandia National Laboratories; U.S. Department of Energy","keywords":"Battery (electricity); Lithium (medication); Power (physics); Ion; Plot (graphics); Lithium-ion battery; Power density; Energy density; Energy storage; Energy (signal processing); Materials science; Nuclear engineering; Reliability engineering; Computer science; Chemistry; Thermodynamics; Statistics; Engineering physics; Engineering; Mathematics; Physics","score_opus":0.012479493531237795,"score_gpt":0.27135078029821497,"score_spread":0.2588712867669772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252695490","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30302453,0.002640928,0.036642935,0.00023558828,0.00019597694,0.00023782058,0.61054736,0.026621837,0.019853031],"genre_scores_gemma":[0.38627014,0.0010911818,0.024464162,0.00016039386,0.00004176737,0.0005170911,0.5780329,0.001886608,0.0075357673],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99953246,0.000061526036,0.000048524693,0.00016101237,0.00015363442,0.0000429342],"domain_scores_gemma":[0.9987581,0.0005982572,0.0001401603,0.00024298082,0.00023655426,0.000023958852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000882333,0.0009245727,0.0005302598,0.00213877,0.00020444082,0.0011719129,0.0007890309,0.0005046651,0.0064550103],"category_scores_gemma":[0.0030211206,0.00017255972,0.0008600631,0.002207251,0.0001907144,0.0010106196,0.00079744466,0.0004614015,0.0027657424],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0061505805,0.00077563693,0.11587867,0.008317549,0.0015970386,0.0006200602,0.0006393954,0.1445476,0.0400849,0.0077272025,0.2895718,0.3840896],"study_design_scores_gemma":[0.00050741166,0.001778036,0.15375982,0.00058540184,0.0006405708,0.0018471829,0.00082284736,0.22861034,0.1341394,0.010200246,0.46681726,0.00029153543],"about_ca_topic_score_codex":0.0039031326,"about_ca_topic_score_gemma":0.005807863,"teacher_disagreement_score":0.0064550103,"about_ca_system_score_codex":0.00044806395,"about_ca_system_score_gemma":0.00033302692,"threshold_uncertainty_score":0.021594167},"labels":[],"label_agreement":null},{"id":"W4254413507","doi":"10.1149/ma2010-01/5/388","title":"Cycle Life Prediction of Battery-Supercapacitor Hybrids Using Artificial Neural Network","year":2010,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Artificial neural network; Battery (electricity); Supercapacitor; Computer science; Artificial intelligence; Chemistry; Capacitance; Electrode; Power (physics); Physics","score_opus":0.02473708775055704,"score_gpt":0.25426506793489817,"score_spread":0.22952798018434112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254413507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97165316,0.00038834364,0.023472896,0.00009276902,0.000030030154,0.00003039878,0.0006198607,0.00036599435,0.0033465077],"genre_scores_gemma":[0.9979298,0.00004039205,0.0010291258,0.000004336417,0.000002126173,0.000012250531,0.00020048491,0.000007530911,0.0007740152],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999629,0.0000074882278,0.0000025429688,0.0000091588845,0.000012633981,0.0000052407886],"domain_scores_gemma":[0.99979275,0.000094819465,0.000016458902,0.000010149963,0.00007780802,0.000008012606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016391938,0.00033607584,0.0002863712,0.00038047982,0.00017469701,0.00031570796,0.00022988055,0.0003233702,0.0012378667],"category_scores_gemma":[0.00058557955,0.00012586689,0.00019415576,0.00023228562,0.00007576844,0.00034310663,0.000108801105,0.00018599135,0.00021095827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005493058,0.00009641458,0.007290915,0.00009525716,0.000058588037,0.00006243126,0.00002767281,0.93230146,0.014564819,0.00020835263,0.00074775366,0.043997016],"study_design_scores_gemma":[0.00000249173,0.000026815565,0.0015115004,0.0000016106394,0.0000044219123,0.0000028155143,0.0000035539879,0.9962148,0.0020872208,0.00007353006,0.00006847477,0.0000026151286],"about_ca_topic_score_codex":0.007922374,"about_ca_topic_score_gemma":0.009125383,"teacher_disagreement_score":0.007922374,"about_ca_system_score_codex":0.00046271182,"about_ca_system_score_gemma":0.00019706265,"threshold_uncertainty_score":0.015752554},"labels":[],"label_agreement":null},{"id":"W4254598932","doi":"10.1109/62.949533","title":"Large lithium ion batteries for aerospace and aircraft applications","year":2001,"lang":"en","type":"article","venue":"IEEE Aerospace and Electronic Systems Magazine","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"EaglePicher (Canada)","funders":"U.S. Air Force","keywords":"Aerospace; Lithium (medication); Materials science; Aerospace engineering; Aerospace materials; Nuclear engineering; Electrode; Automotive engineering; Ion; Work (physics); Environmental science; Mechanical engineering; Engineering; Chemistry","score_opus":0.009783191632443743,"score_gpt":0.24961524670951257,"score_spread":0.23983205507706884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254598932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49373728,0.114236325,0.1510477,0.0058129816,0.0016205369,0.00040440736,0.0015275017,0.009000849,0.22261243],"genre_scores_gemma":[0.8589008,0.018221986,0.0461649,0.00082671817,0.0003160293,0.00010593462,0.0013252397,0.00025877677,0.0738796],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983716,0.000018112609,0.000007762253,0.000021826527,0.000101091486,0.000014014477],"domain_scores_gemma":[0.99979407,0.000042104835,0.00001989127,0.00002672388,0.000090525464,0.000026597994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025658996,0.00036361974,0.00020839114,0.00031434806,0.00032158737,0.0008646803,0.00051027833,0.0006367721,0.010642685],"category_scores_gemma":[0.00046493334,0.00014975813,0.00017363683,0.00045032648,0.00019870965,0.0014576688,0.0005820861,0.0003723451,0.0038177767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033927173,0.00009414481,0.002859154,0.00059113075,0.000023817567,0.0005570068,0.00015517711,0.0019903723,0.59125626,0.008413505,0.020204162,0.37351584],"study_design_scores_gemma":[0.00006951555,0.0012131678,0.0074664163,0.00012166918,0.00009300035,0.0033867867,0.00024350843,0.007971422,0.58833253,0.008235683,0.38281015,0.000056155775],"about_ca_topic_score_codex":0.00020407622,"about_ca_topic_score_gemma":0.00044503933,"teacher_disagreement_score":0.010642685,"about_ca_system_score_codex":0.00028430644,"about_ca_system_score_gemma":0.0001901653,"threshold_uncertainty_score":0.035603285},"labels":[],"label_agreement":null},{"id":"W4254704990","doi":"10.1149/ma2019-01/1/108","title":"Lithium Ion Batteries and Next Generation Energy Storage Technology - Adoption to Aircraft and Aerospace","year":2019,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Aerospace; Energy storage; Battery (electricity); Overheating (electricity); Automotive engineering; Systems engineering; Supercapacitor; Computer science; Aerospace engineering; Electrical engineering; Power (physics); Engineering","score_opus":0.016659026604188658,"score_gpt":0.2376216398997453,"score_spread":0.22096261329555664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254704990","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016538484,0.15218866,0.018359559,0.041583043,0.021466227,0.00015698287,0.00024106004,0.0007356219,0.7487304],"genre_scores_gemma":[0.12122313,0.23961069,0.0145968925,0.018828286,0.007185745,0.0001563359,0.00043552666,0.00043127625,0.59753203],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995573,0.000082710736,0.00001901643,0.0000503653,0.00023610434,0.000054534372],"domain_scores_gemma":[0.9997727,0.000078923505,0.000017285354,0.000016453363,0.000082502826,0.000032095442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048905046,0.0004498681,0.00024171166,0.0003627318,0.0006378821,0.003134557,0.00077205175,0.0021113157,0.026198333],"category_scores_gemma":[0.0011348871,0.00018951365,0.00034570508,0.0004796016,0.00085475435,0.0033943257,0.0013286662,0.0023470817,0.006474762],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113280716,0.0000800584,0.0006567262,0.0018138681,0.000017270027,0.0009004655,0.0025405204,0.002071534,0.020616895,0.367614,0.18704383,0.41653156],"study_design_scores_gemma":[0.0000036971512,0.00008389613,0.00023310748,0.00048374129,0.000004670656,0.00044905572,0.0005332661,0.00037526235,0.0013296487,0.017386261,0.97910327,0.00001414546],"about_ca_topic_score_codex":0.00080637436,"about_ca_topic_score_gemma":0.0016665744,"teacher_disagreement_score":0.026198333,"about_ca_system_score_codex":0.001255912,"about_ca_system_score_gemma":0.00079261576,"threshold_uncertainty_score":0.08764213},"labels":[],"label_agreement":null},{"id":"W4255326545","doi":"10.1002/9781119713173.ch2","title":"Energy Storage Systems","year":2021,"lang":"en","type":"other","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Energy storage; Thermal energy storage; Electricity; Pumped-storage hydroelectricity; Energy (signal processing); Thermal energy; Environmental science; Process engineering; Energy recovery; Energy engineering; Renewable energy; Engineering; Distributed generation; Electrical engineering; Ecology","score_opus":0.014398749978577353,"score_gpt":0.24565780080350227,"score_spread":0.23125905082492493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255326545","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021592025,0.03909959,0.11154098,0.004957052,0.005105108,0.00075256906,0.008478491,0.0072844354,0.80118984],"genre_scores_gemma":[0.31864244,0.03811689,0.04704534,0.0017996107,0.0010832726,0.00059129734,0.009977934,0.0007426432,0.5820006],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99956626,0.000044538465,0.00003353527,0.00008328581,0.00021982707,0.00005254489],"domain_scores_gemma":[0.99960405,0.000055472516,0.000025150428,0.00006952638,0.0002204074,0.000025364032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039145787,0.0007774046,0.0006968892,0.0012231068,0.001523602,0.002553713,0.0016455889,0.0011019758,0.06786653],"category_scores_gemma":[0.0007495707,0.00023656512,0.00040832834,0.0022175615,0.0005075683,0.0032606977,0.001843576,0.0007232167,0.030010087],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003475283,0.00015100058,0.00090850395,0.0021467847,0.00006104088,0.00049465854,0.00028742908,0.008733045,0.026019217,0.1693883,0.23029634,0.56116617],"study_design_scores_gemma":[0.000033453354,0.000088889625,0.00024442238,0.00021625316,0.000025675688,0.0004070217,0.000108354354,0.0070402804,0.015234043,0.018756395,0.9578148,0.00003034553],"about_ca_topic_score_codex":0.0014984544,"about_ca_topic_score_gemma":0.0014465696,"teacher_disagreement_score":0.06786653,"about_ca_system_score_codex":0.0010925615,"about_ca_system_score_gemma":0.00087121286,"threshold_uncertainty_score":0.22703618},"labels":[],"label_agreement":null},{"id":"W4256285516","doi":"10.1149/ma2017-02/1/112","title":"Development of Utility Friendly Olivine Based ESS in Esstalion Technologies","year":2017,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Joint venture; Computer science; Battery (electricity); Joint (building); Corporation; Business; Operations management; Engineering; Finance; Architectural engineering; Commerce","score_opus":0.027890916921470523,"score_gpt":0.28879491234857546,"score_spread":0.26090399542710496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256285516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6707916,0.020687534,0.18893014,0.0027702113,0.0018230969,0.0013039528,0.003394511,0.0038381796,0.1064607],"genre_scores_gemma":[0.8169903,0.008547735,0.11888528,0.00051260786,0.00011117806,0.00057018735,0.0020750922,0.00042476444,0.051882807],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99968815,0.000014074612,0.00002746042,0.00004868569,0.00019002611,0.00003159587],"domain_scores_gemma":[0.9998241,0.000011505209,0.00003672174,0.000017105967,0.00009182051,0.0000187999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035319978,0.00033878625,0.00028329692,0.00060665596,0.0002789568,0.0008102132,0.00064808445,0.0007392816,0.0018250637],"category_scores_gemma":[0.00043791847,0.00017094481,0.00039880397,0.00057490973,0.00018388063,0.0013600178,0.00042519174,0.00065340224,0.0010928415],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001042811,0.00009173857,0.00092783634,0.00078406493,0.00002373669,0.0007334664,0.00019670573,0.0020492235,0.9291138,0.0065646884,0.0045691184,0.05484132],"study_design_scores_gemma":[0.000019129415,0.00037039252,0.0018216263,0.00008281734,0.00003483096,0.00056379684,0.00007968698,0.0050191227,0.87781596,0.00061912934,0.11353996,0.000033417957],"about_ca_topic_score_codex":0.0009406319,"about_ca_topic_score_gemma":0.0019163723,"teacher_disagreement_score":0.0018250637,"about_ca_system_score_codex":0.0007466001,"about_ca_system_score_gemma":0.00039549242,"threshold_uncertainty_score":0.006105423},"labels":[],"label_agreement":null},{"id":"W4256647618","doi":"10.1149/ma2019-02/5/338","title":"Tracking Battery Swelling in Uncompressed Li-Ion Cells Via in-Operando X-Ray Radiography and Micro-Tomography","year":2019,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Electrode; Swelling; Materials science; Battery (electricity); Ion; Analytical Chemistry (journal); Composite material; Chemistry; Physics","score_opus":0.008323965089840055,"score_gpt":0.21741968565809958,"score_spread":0.20909572056825954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256647618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893996,0.00053225696,0.008777057,0.000079729856,0.000018807177,0.00003429874,0.00018546516,0.00017632284,0.0007964523],"genre_scores_gemma":[0.9813395,0.0007026394,0.016291216,0.000050679948,0.0000135590035,0.000039817558,0.00016008937,0.000049556777,0.0013529613],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998394,0.00001313038,0.000010095119,0.000020959526,0.00009303081,0.000023280536],"domain_scores_gemma":[0.99963224,0.000105113,0.000118179916,0.00004472934,0.00007563558,0.000024051302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028763813,0.00027091868,0.0003232053,0.00034915042,0.00015223757,0.0005910013,0.00049995945,0.0003657603,0.0011521912],"category_scores_gemma":[0.00053856586,0.00026374854,0.00013584424,0.00040199806,0.0005923722,0.00047405603,0.0003870761,0.000384674,0.00013938983],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000594635,0.000018325281,0.00063552154,0.0000449494,0.0000037569614,0.00011537264,0.00008443363,0.000869614,0.99600023,0.000057257468,0.000040458763,0.002070599],"study_design_scores_gemma":[0.000011709856,0.00024827776,0.017534368,0.000013548506,0.000015125237,0.00039316923,0.00016152293,0.012457455,0.96817833,0.000072990326,0.0008916184,0.000021932878],"about_ca_topic_score_codex":0.00101666,"about_ca_topic_score_gemma":0.001508277,"teacher_disagreement_score":0.0011521912,"about_ca_system_score_codex":0.00040402327,"about_ca_system_score_gemma":0.00017630753,"threshold_uncertainty_score":0.0038544536},"labels":[],"label_agreement":null},{"id":"W4280649516","doi":"10.3390/en15103768","title":"A Robust Kalman Filter-Based Approach for SoC Estimation of Lithium-Ion Batteries in Smart Homes","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"State of charge; Kalman filter; Battery (electricity); Voltage; Extended Kalman filter; Control theory (sociology); Engineering; Photovoltaic system; Equivalent circuit; Computer science; Power (physics); Automotive engineering; Electrical engineering; Control (management)","score_opus":0.02890142110741424,"score_gpt":0.25122081547274133,"score_spread":0.2223193943653271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280649516","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006878435,0.00039832096,0.9910164,0.000040839437,0.00003759314,0.000017982631,0.000036045694,0.00063106854,0.0009433959],"genre_scores_gemma":[0.8216983,0.0012622632,0.17259897,0.00011214403,0.000109363544,0.00014804128,0.00034064095,0.000121440724,0.003608918],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962294,0.000055154625,0.00003563979,0.00012148174,0.00012702434,0.00003779168],"domain_scores_gemma":[0.9996917,0.00008540855,0.00004710011,0.000023453576,0.00014376418,0.0000086196005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046648973,0.0008508401,0.0008827594,0.00063525664,0.00039351257,0.00061764463,0.00067625556,0.00054623303,0.0013692264],"category_scores_gemma":[0.0016539982,0.00040123807,0.0006243727,0.0005561803,0.00028603588,0.0010973107,0.00043960378,0.00060006836,0.00044377334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020800861,0.000054595115,0.0021698684,0.0003458787,0.00011127551,0.00016414946,0.00019523296,0.6348566,0.017280133,0.0056780097,0.0022965758,0.33663958],"study_design_scores_gemma":[0.000010606831,0.00003630497,0.00056944654,0.000013732177,0.000024619674,0.000033316202,0.000016466061,0.9939792,0.0030561762,0.0011134787,0.0011265621,0.000020043792],"about_ca_topic_score_codex":0.016068604,"about_ca_topic_score_gemma":0.01135198,"teacher_disagreement_score":0.016068604,"about_ca_system_score_codex":0.0006516556,"about_ca_system_score_gemma":0.00091526186,"threshold_uncertainty_score":0.031950176},"labels":[],"label_agreement":null},{"id":"W4281477731","doi":"10.3390/electrochem3020018","title":"Performance Study on the Effect of Coolant Inlet Conditions for a 20 Ah LiFePO4 Prismatic Battery with Commercial Mini Channel Cold Plates","year":2022,"lang":"en","type":"article","venue":"Electrochem","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Coolant; Battery (electricity); Nuclear engineering; Materials science; Inlet; Volumetric flow rate; Thermodynamics; Mechanical engineering; Power (physics); Engineering","score_opus":0.011915371864353328,"score_gpt":0.24401949477032525,"score_spread":0.23210412290597193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281477731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99654406,0.00030171726,0.002121379,0.00002856829,0.000016553653,0.000022590522,0.00019997256,0.000126683,0.0006385165],"genre_scores_gemma":[0.9979582,0.00017224644,0.0012288252,0.000011846225,0.0000025529357,0.000017338749,0.00013180623,0.000019222123,0.00045807275],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977463,0.000025219551,0.000022815146,0.00005299583,0.00008030103,0.000044058193],"domain_scores_gemma":[0.99957436,0.00014238499,0.000047905512,0.000041510826,0.0001676651,0.000026158363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051117723,0.0005659318,0.0006333937,0.00031062055,0.00033238585,0.00046952107,0.0007546152,0.00040830945,0.0016182115],"category_scores_gemma":[0.00092137133,0.00024787345,0.0004964647,0.00030495267,0.00028862542,0.0007746927,0.00030707574,0.00043082723,0.0003148108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002703667,0.00027554014,0.0062740226,0.0009646042,0.000074946416,0.00037392747,0.000339077,0.03344147,0.93386984,0.00023637371,0.0004139955,0.021032512],"study_design_scores_gemma":[0.00004287552,0.0015744155,0.0065811374,0.00001478492,0.00006397079,0.00011047039,0.0001654523,0.03177956,0.9586154,0.00003850043,0.0009791919,0.00003425351],"about_ca_topic_score_codex":0.0024546818,"about_ca_topic_score_gemma":0.0032678624,"teacher_disagreement_score":0.0024546818,"about_ca_system_score_codex":0.0004754664,"about_ca_system_score_gemma":0.0004136139,"threshold_uncertainty_score":0.005413413},"labels":[],"label_agreement":null},{"id":"W4281566547","doi":"10.3390/en15113863","title":"Electric Vehicle Efficient Power and Propulsion Systems","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Electrification; Propulsion; Automotive engineering; Electrically powered spacecraft propulsion; Electric vehicle; Power (physics); Engineering; Aeronautics; Aerospace engineering; Electrical engineering; Electricity","score_opus":0.006160995156364596,"score_gpt":0.2140006430300985,"score_spread":0.2078396478737339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281566547","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021405675,0.010213366,0.2775061,0.0027150188,0.0019498524,0.00037056667,0.0028942311,0.0032689283,0.6796763],"genre_scores_gemma":[0.5684425,0.015205782,0.03998919,0.00061041233,0.00058667694,0.0002933418,0.005241134,0.00030911795,0.36932176],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982256,0.0000171324,0.000007661456,0.00002901375,0.00010218296,0.000021534535],"domain_scores_gemma":[0.9998895,0.000007890032,0.0000056678227,0.00001419216,0.00007608955,0.0000065857203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018159272,0.00046000196,0.00028262357,0.0005785895,0.0004268548,0.0011495644,0.0005879337,0.00036510918,0.026689036],"category_scores_gemma":[0.0003037908,0.00014251813,0.0001963786,0.0008480283,0.00018692634,0.0010108926,0.0008524302,0.0004958636,0.010606071],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096635784,0.00009925214,0.0012063219,0.0006292515,0.000060234208,0.00016357795,0.00009049929,0.030950766,0.016627237,0.14071395,0.113345236,0.696017],"study_design_scores_gemma":[0.000026209738,0.00020586204,0.002082852,0.00019549917,0.00003330779,0.00027974043,0.00012877949,0.06575997,0.013415804,0.040473197,0.87736785,0.000031007068],"about_ca_topic_score_codex":0.0014492791,"about_ca_topic_score_gemma":0.0021317443,"teacher_disagreement_score":0.026689036,"about_ca_system_score_codex":0.00051577477,"about_ca_system_score_gemma":0.00070926844,"threshold_uncertainty_score":0.089283705},"labels":[],"label_agreement":null},{"id":"W4281612901","doi":"10.1109/jproc.2022.3175614","title":"A Review of Second-Life Lithium-Ion Batteries for Stationary Energy Storage Applications","year":2022,"lang":"en","type":"review","venue":"Proceedings of the IEEE","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":177,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Science Fund for Distinguished Young Scholars of Chongqing; National Natural Science Foundation of China","keywords":"Repurposing; Energy storage; Reuse; Battery (electricity); Computer science; Risk analysis (engineering); Sizing; Energy management; Environmental economics; Systems engineering; Energy (signal processing); Engineering; Business; Waste management","score_opus":0.04521885567116097,"score_gpt":0.31435061850533164,"score_spread":0.2691317628341707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281612901","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002687815,0.995981,0.00043429446,0.00019361857,0.00034708553,0.000013345177,0.000059337894,0.00001693436,0.0026856652],"genre_scores_gemma":[0.0009426898,0.9962048,0.0005065126,0.000154666,0.00018110263,0.000015321764,0.000081982835,0.000003535542,0.0019094796],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99972326,0.000030360567,0.000052553743,0.000047992125,0.0001228998,0.000022988826],"domain_scores_gemma":[0.9995801,0.0001350421,0.00006636803,0.00001479331,0.00017335796,0.000030372465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005958257,0.0012168,0.0012625759,0.0035103224,0.00038929016,0.001098955,0.0009396976,0.0009865519,0.0056230114],"category_scores_gemma":[0.0007174077,0.0004644288,0.00078669866,0.004882611,0.00025881847,0.002198624,0.0005949263,0.001131517,0.0037395072],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073860756,0.0001260771,0.0002323302,0.053193033,0.000118887736,0.00025583417,0.000103031525,0.00088695274,0.0067425994,0.006256764,0.04846123,0.8835494],"study_design_scores_gemma":[0.0000064168953,0.000097011274,0.00037689545,0.0026106723,0.00009705505,0.0005576612,0.000039407794,0.00013295528,0.0012461663,0.00086535374,0.9939486,0.000021655724],"about_ca_topic_score_codex":0.0011531075,"about_ca_topic_score_gemma":0.0019459373,"teacher_disagreement_score":0.0056230114,"about_ca_system_score_codex":0.00048175693,"about_ca_system_score_gemma":0.001394591,"threshold_uncertainty_score":0.018810868},"labels":[],"label_agreement":null},{"id":"W4281685352","doi":"10.3389/fenrg.2022.914291","title":"A Comparative Study of SOC Estimation Based on Equivalent Circuit Models","year":2022,"lang":"en","type":"article","venue":"Frontiers in Energy Research","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Estimator; Kalman filter; Extended Kalman filter; Control theory (sociology); Robustness (evolution); Computation; Invariant extended Kalman filter; Noise (video); Computer science; Algorithm; Engineering; Mathematics; Statistics; Artificial intelligence","score_opus":0.11169434546918397,"score_gpt":0.35622441139342137,"score_spread":0.2445300659242374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281685352","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23338725,0.0023774842,0.7463607,0.00019631961,0.000104538245,0.000049205923,0.0004416416,0.0026542856,0.01442859],"genre_scores_gemma":[0.9756698,0.0007474618,0.021803841,0.000023181303,0.000023006913,0.000022171409,0.0004154124,0.000072126844,0.0012229157],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993333,0.00017711025,0.000051255276,0.00011348599,0.00026941727,0.000055358523],"domain_scores_gemma":[0.9988224,0.00048529822,0.00010586956,0.00018789583,0.0003832018,0.00001543439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000708813,0.000643659,0.00064397557,0.0012623612,0.00020581853,0.00083945476,0.00060777174,0.0005631547,0.0014996821],"category_scores_gemma":[0.0038125739,0.00021993787,0.00060603704,0.00075530086,0.00020055848,0.0017850915,0.0003422525,0.00036126564,0.00032465678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027490463,0.00005497733,0.0057252795,0.00033760857,0.000121780984,0.00014852178,0.000113226284,0.7779845,0.007867677,0.0068064015,0.00088306784,0.19968201],"study_design_scores_gemma":[0.0000061658875,0.000056968413,0.0020855796,0.000016333013,0.00003381982,0.000069193586,0.000025749405,0.99177766,0.0032689744,0.0012138934,0.0014284273,0.000017335422],"about_ca_topic_score_codex":0.006707017,"about_ca_topic_score_gemma":0.0046530007,"teacher_disagreement_score":0.006707017,"about_ca_system_score_codex":0.0004438848,"about_ca_system_score_gemma":0.00048937945,"threshold_uncertainty_score":0.013335943},"labels":[],"label_agreement":null},{"id":"W4281827116","doi":"10.1109/ceepe55110.2022.9783371","title":"Accurate State of Charge Estimation for Lithium Iron Phosphate Battery Cell Using Equivalent Circuit Model, Parameter Tuning and Unscented Kalman Filter","year":2022,"lang":"en","type":"article","venue":"2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Mastercard Foundation","keywords":"State of charge; Battery (electricity); Kalman filter; Equivalent circuit; Extended Kalman filter; Computer science; Battery pack; Convergence (economics); Range (aeronautics); State (computer science); Control theory (sociology); Voltage; Engineering; Electrical engineering; Algorithm; Power (physics); Control (management); Artificial intelligence","score_opus":0.037871371062399434,"score_gpt":0.27488627531143206,"score_spread":0.23701490424903263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281827116","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06625272,0.0006654866,0.9287918,0.00016753619,0.000057409765,0.000045486944,0.00011195334,0.0010129055,0.0028946374],"genre_scores_gemma":[0.9621762,0.0005111265,0.03529926,0.0000461909,0.000016000382,0.000054937023,0.00021019162,0.000028460861,0.0016576434],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983597,0.000024492405,0.000013319514,0.000043765653,0.00006743738,0.000014901509],"domain_scores_gemma":[0.99981517,0.000059586833,0.000025835607,0.000022703009,0.00007224014,0.0000044731446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025991097,0.00041624502,0.00044487667,0.00025871338,0.00023506745,0.0005923649,0.00051679247,0.00047308684,0.00091871945],"category_scores_gemma":[0.0009009066,0.00022448358,0.00043185314,0.00026301004,0.0001668229,0.000991265,0.0003147976,0.00046438852,0.0003269662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022981582,0.00010434927,0.0039899684,0.00034360547,0.000080334365,0.00016078897,0.0001793274,0.77550095,0.036646623,0.0033767933,0.0017928763,0.17759448],"study_design_scores_gemma":[0.000006068496,0.000042764015,0.0004956705,0.000006836685,0.0000113164115,0.00002904257,0.000010957891,0.9935824,0.004883841,0.00040797732,0.00051316817,0.000009824764],"about_ca_topic_score_codex":0.008038468,"about_ca_topic_score_gemma":0.008011566,"teacher_disagreement_score":0.008038468,"about_ca_system_score_codex":0.0004327383,"about_ca_system_score_gemma":0.00047906768,"threshold_uncertainty_score":0.015983343},"labels":[],"label_agreement":null},{"id":"W4282929239","doi":"10.3390/wevj13060105","title":"Electric Vehicle Range Estimation Using Regression Techniques","year":2022,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mean squared error; Range (aeronautics); Linear regression; Electric vehicle; Statistics; Footprint; Regression analysis; Support vector machine; Regression; Driving range; Automotive engineering; Environmental science; Battery (electricity); Computer science; Mathematics; Engineering; Machine learning; Power (physics); Physics","score_opus":0.01758091800116032,"score_gpt":0.28382714942027104,"score_spread":0.26624623141911075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282929239","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1406004,0.0009706932,0.8473594,0.00017370969,0.00012612666,0.000077467754,0.0021371834,0.003667918,0.004887226],"genre_scores_gemma":[0.83605367,0.00079296716,0.15165707,0.0000729447,0.000077367746,0.00015298287,0.0067717205,0.00027002682,0.0041513517],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994966,0.000091640075,0.00004003993,0.00020406533,0.00011943072,0.00004822907],"domain_scores_gemma":[0.9990792,0.00038257946,0.00013151883,0.000093648974,0.0002962941,0.0000167221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051298056,0.001089662,0.0006029989,0.0018498359,0.00020224665,0.0007905052,0.0007867549,0.0006011712,0.001643504],"category_scores_gemma":[0.0038625048,0.00031447905,0.00092080917,0.0019466571,0.00015323226,0.0011281987,0.0005387697,0.0009840647,0.002167335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095309726,0.0001655029,0.021793509,0.00019589566,0.00014919083,0.00018018481,0.00008019357,0.64872426,0.007220382,0.0018370396,0.0034686667,0.31608984],"study_design_scores_gemma":[0.000006766709,0.000049324517,0.0069208024,0.000031928987,0.000018294995,0.00008203722,0.00006656108,0.9853448,0.0035101864,0.0012823434,0.0026639698,0.000023093937],"about_ca_topic_score_codex":0.0069886534,"about_ca_topic_score_gemma":0.004786382,"teacher_disagreement_score":0.0069886534,"about_ca_system_score_codex":0.00029330543,"about_ca_system_score_gemma":0.0003411781,"threshold_uncertainty_score":0.013895929},"labels":[],"label_agreement":null},{"id":"W4283013046","doi":"10.3390/pr10061192","title":"A Review of Lithium-Ion Battery Thermal Runaway Modeling and Diagnosis Approaches","year":2022,"lang":"en","type":"review","venue":"Processes","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":262,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Thermal runaway; Battery (electricity); Energy density; Lithium-ion battery; Lithium (medication); Nuclear engineering; Thermal; Reliability engineering; Power (physics); Engineering; Engineering physics; Thermodynamics; Medicine","score_opus":0.14888892672686574,"score_gpt":0.3271644556849801,"score_spread":0.17827552895811435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283013046","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006303075,0.9905539,0.0032805353,0.00026564166,0.00038281156,0.00002025805,0.00011789756,0.000057091354,0.0046915333],"genre_scores_gemma":[0.0036090591,0.9912362,0.002060469,0.00015483204,0.0002689504,0.000022759412,0.00017427951,0.000011979592,0.0024613873],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997546,0.000026387801,0.000042293603,0.000054566466,0.00010593381,0.0000161818],"domain_scores_gemma":[0.9995981,0.00017556896,0.000048224352,0.000017545119,0.00014537781,0.000015124464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048803736,0.001209668,0.0011366468,0.0024665499,0.00032996424,0.0010674151,0.0012531875,0.0010171115,0.0052197916],"category_scores_gemma":[0.00080093835,0.00047271792,0.0009887132,0.003239806,0.0002743053,0.0020042774,0.0005294356,0.00088982214,0.0024847987],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008461956,0.000115460876,0.00048535544,0.03861192,0.00013289021,0.00024380114,0.00011585343,0.005174817,0.0047764713,0.009890215,0.029957093,0.9104115],"study_design_scores_gemma":[0.000010122516,0.000179532,0.0008404314,0.0049576713,0.00025145325,0.0009725914,0.000087162945,0.0026001928,0.0030458143,0.00432829,0.9826705,0.00005625564],"about_ca_topic_score_codex":0.0018306753,"about_ca_topic_score_gemma":0.0017847448,"teacher_disagreement_score":0.0052197916,"about_ca_system_score_codex":0.0005192732,"about_ca_system_score_gemma":0.0011891163,"threshold_uncertainty_score":0.017461956},"labels":[],"label_agreement":null},{"id":"W4283204894","doi":"10.1109/iemtronics55184.2022.9795848","title":"An Optimum Sizing for a Hybrid Storage System in Solar Water Pumping Using ICA","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Sizing; Reliability (semiconductor); Storage tank; Hybrid system; Computer data storage; Computer science; Process engineering; Water storage; Energy storage; Environmental science; Reliability engineering; Engineering; Waste management; Power (physics); Mechanical engineering; Chemistry; Computer hardware","score_opus":0.025243244671180328,"score_gpt":0.28293517370311705,"score_spread":0.2576919290319367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283204894","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3960748,0.00073119084,0.57977074,0.00034753513,0.00008227002,0.00024779484,0.00030884362,0.00070340233,0.021733413],"genre_scores_gemma":[0.9407993,0.000112692476,0.05778119,0.0000200378,0.000009201152,0.000093204195,0.000064598724,0.000026579817,0.0010931242],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985373,0.00003242658,0.0000115228,0.000031846615,0.0000474372,0.000022941538],"domain_scores_gemma":[0.9998392,0.000063539934,0.000030724146,0.000011619241,0.000047031597,0.000007761216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024419997,0.00053722825,0.00060446217,0.00051374664,0.00042402578,0.0010156599,0.0005796761,0.00053794484,0.0026935402],"category_scores_gemma":[0.0005465903,0.00030674392,0.0004252507,0.00061176723,0.0003324109,0.0010020192,0.0002946148,0.00028959097,0.00024180688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034891927,0.000071037146,0.0022539408,0.00041656388,0.000083311745,0.0002721237,0.0001513951,0.79197514,0.07841002,0.00905408,0.0022523915,0.114710964],"study_design_scores_gemma":[0.0000592347,0.00034088027,0.0023921917,0.000028669418,0.00009734963,0.0002655262,0.00019542374,0.96674824,0.022387104,0.0039789258,0.0034750164,0.00003135394],"about_ca_topic_score_codex":0.0019528293,"about_ca_topic_score_gemma":0.0032005294,"teacher_disagreement_score":0.0026935402,"about_ca_system_score_codex":0.000600991,"about_ca_system_score_gemma":0.0007152825,"threshold_uncertainty_score":0.009010792},"labels":[],"label_agreement":null},{"id":"W4283588590","doi":"10.11159/ffhmt22.190","title":"Hydrothermal Performance of Liquid-Cooled Battery Thermal Management System with Multiple Inlets","year":2022,"lang":"en","type":"article","venue":"Proceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Core Research for Evolutional Science and Technology; Nuclear Safety and Security Commission; National Aeronautics and Space Administration; U.S. Department of Energy; National Science Foundation","keywords":"Inlet; Thermal; Power (physics); Pressure drop; Laminar flow; Volumetric flow rate; Marine engineering; Materials science; Mechanical engineering; Environmental science; Mechanics; Engineering; Meteorology; Physics; Thermodynamics","score_opus":0.013173499485826915,"score_gpt":0.2094542740826016,"score_spread":0.19628077459677468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283588590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897014,0.00021378564,0.0056566717,0.00007871247,0.000025365662,0.000014579533,0.00015497212,0.000098497534,0.004055923],"genre_scores_gemma":[0.99778074,0.000059316684,0.0013714329,0.000007022576,0.0000016970939,0.000014730744,0.00006325214,0.000008592711,0.0006932548],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999915,0.000009887769,0.000005681095,0.000019469604,0.000027442933,0.000022552937],"domain_scores_gemma":[0.9998766,0.00004493239,0.000017019527,0.000010767464,0.00003558949,0.0000149857715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001858894,0.00027543373,0.00060532696,0.00019018796,0.0004591389,0.00063833396,0.0004980001,0.00041495488,0.0019913807],"category_scores_gemma":[0.00040114,0.0002181915,0.00047185193,0.00023167893,0.0003943152,0.00056308066,0.00033712227,0.00027482046,0.0002341903],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087940803,0.00021380483,0.00711345,0.00045904634,0.00006292069,0.00036514347,0.00017093832,0.78091455,0.1861964,0.0018256528,0.0009511897,0.020847553],"study_design_scores_gemma":[0.000030803003,0.0003204084,0.0015800087,0.000009663687,0.000025775067,0.000031434633,0.00006921733,0.9323169,0.064831816,0.00022613195,0.0005375796,0.00002036055],"about_ca_topic_score_codex":0.0034953323,"about_ca_topic_score_gemma":0.0028318064,"teacher_disagreement_score":0.0034953323,"about_ca_system_score_codex":0.00064622174,"about_ca_system_score_gemma":0.000532699,"threshold_uncertainty_score":0.006949961},"labels":[],"label_agreement":null},{"id":"W4283690461","doi":"10.3390/en15134727","title":"Latest Energy Storage Trends in Multi-Energy Standalone Electric Vehicle Charging Stations: A Comprehensive Study","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Energy storage; Renewable energy; Grid; Automotive engineering; Electric vehicle; Charging station; Electricity; Computer data storage; Electrical engineering; Engineering; Computer science; Environmental science; Power (physics); Operating system","score_opus":0.026335958868408997,"score_gpt":0.27965710059760984,"score_spread":0.25332114172920084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283690461","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03850609,0.9168161,0.0120702805,0.0009049606,0.0004293722,0.000058750516,0.00038635227,0.00009564157,0.030732436],"genre_scores_gemma":[0.17082888,0.8131434,0.0057221376,0.00032878123,0.00046409442,0.000034258333,0.0006984229,0.000029197654,0.0087508755],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99984074,0.000017196391,0.000025299367,0.000032587795,0.00006975201,0.000014507477],"domain_scores_gemma":[0.9996834,0.0000922677,0.000038505546,0.000011644552,0.00015984736,0.000014461091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036639112,0.0004147838,0.000418284,0.0016687973,0.00016258069,0.001077771,0.00035597812,0.0004075933,0.0020468517],"category_scores_gemma":[0.00039660864,0.0002472791,0.0004994231,0.0027163813,0.00015238833,0.0020778687,0.00031922126,0.00040687222,0.0005247639],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028709823,0.00011645185,0.0058130575,0.011905424,0.00022755633,0.0005934353,0.0003333496,0.01580869,0.012010994,0.028492814,0.01397077,0.9104403],"study_design_scores_gemma":[0.000022279823,0.0007781594,0.013397665,0.003292817,0.0005376476,0.002578949,0.00083396817,0.02290628,0.019117553,0.009398136,0.92702925,0.00010730337],"about_ca_topic_score_codex":0.0009740192,"about_ca_topic_score_gemma":0.0012834087,"teacher_disagreement_score":0.0020468517,"about_ca_system_score_codex":0.00041124725,"about_ca_system_score_gemma":0.00047638392,"threshold_uncertainty_score":0.0068473816},"labels":[],"label_agreement":null},{"id":"W4283739708","doi":"10.23919/ipec-himeji2022-ecce53331.2022.9806984","title":"Dual Inverter Integrated DC Charging with Minimal Leakage Current Generation","year":2022,"lang":"en","type":"article","venue":"2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Inverter; Electrical engineering; Dual (grammatical number); Grid; Voltage; Computer science; Leakage (economics); Automotive engineering; Traction (geology); Electric vehicle; Engineering; Electronic engineering; Physics; Power (physics); Mechanical engineering","score_opus":0.02064077391701059,"score_gpt":0.2636450527852172,"score_spread":0.24300427886820664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283739708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5443032,0.000884488,0.39367783,0.0004805902,0.0004748852,0.0003607825,0.0011283149,0.0050735017,0.053616483],"genre_scores_gemma":[0.9640496,0.00011889105,0.026977295,0.000106348045,0.000025387415,0.000068819354,0.0003489766,0.00012669459,0.008177971],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993591,0.000028782248,0.000024693887,0.00010053831,0.0003923035,0.000094656745],"domain_scores_gemma":[0.9996617,0.000025108426,0.000039310005,0.00008812723,0.00015714888,0.000028547192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012482298,0.00039059378,0.0006576405,0.0004603072,0.0003051647,0.0011531705,0.0012681711,0.00055290986,0.0037306764],"category_scores_gemma":[0.00042571916,0.00022249653,0.00029073295,0.0007158246,0.00025199517,0.0007451391,0.00077887793,0.00065428246,0.0015383514],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011901833,0.0005271443,0.0024508832,0.0006136661,0.00009100375,0.0004033369,0.00015273229,0.0063519618,0.75352156,0.006088069,0.0075171203,0.22109243],"study_design_scores_gemma":[0.0001635941,0.0014476643,0.0035783816,0.000036196234,0.00009068578,0.0013324164,0.00008255908,0.08396057,0.8718657,0.001960695,0.03542232,0.000059230817],"about_ca_topic_score_codex":0.00043812805,"about_ca_topic_score_gemma":0.00081767526,"teacher_disagreement_score":0.0037306764,"about_ca_system_score_codex":0.0005166809,"about_ca_system_score_gemma":0.00041570512,"threshold_uncertainty_score":0.012480378},"labels":[],"label_agreement":null},{"id":"W4284879737","doi":"10.1109/itec53557.2022.9813753","title":"Comparing Traditional and Machine Learning Models for Battery SOC Calculation","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Powertrain; Battery pack; State of charge; Computer science; Range (aeronautics); Artificial neural network; Support vector machine; Automotive industry; Automotive engineering; Parameterized complexity; Artificial intelligence; Engineering; Machine learning; Torque; Algorithm; Power (physics)","score_opus":0.1062159361863992,"score_gpt":0.27168392643880895,"score_spread":0.16546799025240977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284879737","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3851949,0.0029716077,0.59482455,0.00057767745,0.00018708424,0.00012471355,0.00079800724,0.0024877952,0.012833642],"genre_scores_gemma":[0.9443275,0.0008791687,0.049862396,0.00007397478,0.00004689002,0.000087945045,0.00073972344,0.00007923917,0.0039031373],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997601,0.00006120683,0.000022008546,0.0000450701,0.0000896721,0.00002197019],"domain_scores_gemma":[0.9986632,0.0008724232,0.00006349886,0.00009228797,0.0002923899,0.00001631291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066713546,0.0005975557,0.00039274167,0.0006434832,0.00015267571,0.0005610184,0.0007888283,0.0005194034,0.0015306604],"category_scores_gemma":[0.0032520876,0.00019815982,0.00039705823,0.0005818107,0.00016866915,0.000981501,0.00025879257,0.0005258805,0.00052778196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006478646,0.000035595313,0.0014447608,0.00004972934,0.000026686113,0.000020849451,0.000013516476,0.9556685,0.0005930016,0.000659441,0.00039453004,0.041028563],"study_design_scores_gemma":[0.000002012437,0.000013695133,0.00027223155,0.0000034094792,0.0000027283038,0.00000488186,0.000004945482,0.99887353,0.00034976585,0.00028860226,0.00018170402,0.0000023840482],"about_ca_topic_score_codex":0.013324615,"about_ca_topic_score_gemma":0.014138682,"teacher_disagreement_score":0.013324615,"about_ca_system_score_codex":0.0005796335,"about_ca_system_score_gemma":0.00053096405,"threshold_uncertainty_score":0.026494145},"labels":[],"label_agreement":null},{"id":"W4284883697","doi":"10.1109/itec53557.2022.9813961","title":"Battery Dual Extended Kalman Filter State of Charge and Health Estimation Strategy for Traction Applications","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"State of charge; Kalman filter; Battery (electricity); State of health; Dual (grammatical number); Extended Kalman filter; Computer science; Nonlinear system; Control theory (sociology); Energy management; Engineering; Traction (geology); Automotive engineering; Power (physics); Control engineering; Energy (signal processing); Control (management); Artificial intelligence; Mathematics","score_opus":0.04549701937945107,"score_gpt":0.33530266057057045,"score_spread":0.2898056411911194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284883697","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013310072,0.00036133145,0.9826811,0.0001902785,0.000068297464,0.00003593337,0.00006740811,0.00042350337,0.002862055],"genre_scores_gemma":[0.94209975,0.00049401907,0.04955127,0.00013601223,0.00007431428,0.00015959034,0.00027309006,0.00003555804,0.0071763424],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966764,0.00003888151,0.000029454059,0.00010658986,0.00010936823,0.000048027916],"domain_scores_gemma":[0.9996055,0.00009247624,0.00005819624,0.0000285771,0.00020061042,0.00001461421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006012279,0.0007063696,0.0008833164,0.0004941657,0.00043916356,0.0008814205,0.0011492847,0.0008480654,0.0023061573],"category_scores_gemma":[0.0013349953,0.00037956654,0.0005179916,0.0003857836,0.000369885,0.0011591795,0.00087226374,0.0008921101,0.0007358992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025312882,0.00008117038,0.0026335057,0.00021410361,0.000090891,0.00016062266,0.00015683557,0.7887024,0.010646207,0.00624144,0.002976774,0.18784304],"study_design_scores_gemma":[0.000009690982,0.000041917312,0.00047618573,0.000009493983,0.00001651393,0.000024040392,0.000010467731,0.9965808,0.0011643516,0.00084522413,0.00081044727,0.000010859876],"about_ca_topic_score_codex":0.01747607,"about_ca_topic_score_gemma":0.011909246,"teacher_disagreement_score":0.01747607,"about_ca_system_score_codex":0.0007110717,"about_ca_system_score_gemma":0.001002842,"threshold_uncertainty_score":0.034748733},"labels":[],"label_agreement":null},{"id":"W4284889890","doi":"10.1109/itec53557.2022.9813811","title":"State of Charge Estimation for EV Batteries Using Support Vector Regression","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Support vector machine; State of charge; Computer science; Battery (electricity); Kernel (algebra); Bayesian optimization; Bayesian probability; Machine learning; Artificial intelligence; Mathematics","score_opus":0.0335321720811297,"score_gpt":0.31367508773749786,"score_spread":0.2801429156563682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284889890","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.179156,0.0005679274,0.8168735,0.0001679224,0.000041790183,0.000039130813,0.00018362532,0.0011581342,0.001811973],"genre_scores_gemma":[0.97116,0.0001758783,0.027174693,0.000020866324,0.000013240137,0.00004204282,0.00025533853,0.000030749856,0.0011273216],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998074,0.000050800336,0.00001661485,0.000046763413,0.000059897968,0.00001849923],"domain_scores_gemma":[0.9995653,0.00020964287,0.000061163926,0.000027420725,0.00012885025,0.000007657491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005095294,0.0005861567,0.00054673123,0.00036277782,0.00015544028,0.00049731636,0.00045400223,0.0004820603,0.00064421433],"category_scores_gemma":[0.0018598294,0.00024971037,0.0005370611,0.00042028542,0.00013248756,0.00056750793,0.00026153694,0.0006205663,0.0002896705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008042521,0.00004342651,0.0019241053,0.000071310096,0.00003513896,0.000047728314,0.000028047702,0.9368032,0.003805906,0.00072096376,0.00045233706,0.05598742],"study_design_scores_gemma":[9.736052e-7,0.000008039922,0.00014913011,0.0000014009918,0.0000012725118,0.0000031437594,0.000001956082,0.99913496,0.0005296392,0.000115223214,0.00005271124,0.0000015200168],"about_ca_topic_score_codex":0.00596026,"about_ca_topic_score_gemma":0.0033942903,"teacher_disagreement_score":0.00596026,"about_ca_system_score_codex":0.00025645105,"about_ca_system_score_gemma":0.00036739264,"threshold_uncertainty_score":0.011851132},"labels":[],"label_agreement":null},{"id":"W4284892634","doi":"10.1109/itec53557.2022.9813809","title":"Novel Integrated Electrical Architecture for Solar-Charged Electric Vehicles","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Photovoltaic system; Electrical engineering; Voltage; Capacitor; Battery (electricity); Electric vehicle; Computer science; Engineering; Automotive engineering; Topology (electrical circuits); Power (physics); Physics","score_opus":0.014922406827061866,"score_gpt":0.2503511160422683,"score_spread":0.23542870921520642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284892634","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19502611,0.0012494487,0.7306901,0.0003630246,0.00037527655,0.000112832546,0.00020563556,0.0030143594,0.06896323],"genre_scores_gemma":[0.95046467,0.00030964526,0.036057696,0.000085617416,0.000037371923,0.000029769279,0.000105705054,0.000040279603,0.012869157],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991703,0.0000071177305,0.0000027897263,0.000015697682,0.000043266988,0.000014190752],"domain_scores_gemma":[0.99995947,0.0000025664683,0.0000035887658,0.000005103239,0.000024691175,0.0000045626366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004122702,0.00020420937,0.00016022008,0.00014690343,0.00019251311,0.00049800036,0.00073870795,0.000340009,0.0029683246],"category_scores_gemma":[0.000078810896,0.000105196494,0.0001613269,0.00018024424,0.00011486697,0.0005223896,0.00024161121,0.00025294238,0.0008338486],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032126816,0.0003072223,0.0017878237,0.0003803677,0.00015057436,0.0005871736,0.00016836193,0.105491616,0.4910465,0.03803142,0.009807104,0.35192057],"study_design_scores_gemma":[0.00007735127,0.0012522907,0.0031847742,0.000053016378,0.000119072385,0.0010988187,0.00013139736,0.67360395,0.19499086,0.011760229,0.11367302,0.00005521333],"about_ca_topic_score_codex":0.00065909274,"about_ca_topic_score_gemma":0.0015510567,"teacher_disagreement_score":0.0029683246,"about_ca_system_score_codex":0.00031058266,"about_ca_system_score_gemma":0.00021624715,"threshold_uncertainty_score":0.009930015},"labels":[],"label_agreement":null},{"id":"W4284893877","doi":"10.1109/itec53557.2022.9814019","title":"The Effects of Test Profile on Lithium-ion Battery Equivalent-Circuit Model Parameterization Accuracy","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Polynomial; Algorithm; Polynomial and rational function modeling; Equivalent circuit; Experimental data; Identification (biology); Computer science; Voltage; Mathematics; Engineering; Physics; Electrical engineering; Statistics; Mathematical analysis; Power (physics)","score_opus":0.022167278182405756,"score_gpt":0.26426152785258955,"score_spread":0.24209424967018378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284893877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8383457,0.0014631803,0.15317304,0.00038230157,0.00012817667,0.0001586517,0.0007287775,0.0020999354,0.0035201863],"genre_scores_gemma":[0.9874396,0.00021126412,0.011163788,0.00005909082,0.0000057094753,0.000047210706,0.0003803398,0.00015332738,0.00053965056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983273,0.00042506724,0.00024506848,0.0002168945,0.0006597926,0.00012585903],"domain_scores_gemma":[0.98499274,0.009191915,0.0009139082,0.0023706467,0.0024026574,0.00012818942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002518779,0.000899302,0.00058448024,0.0006613901,0.00039371444,0.0008889494,0.0012179798,0.0010538403,0.0012743925],"category_scores_gemma":[0.021402983,0.00039079232,0.00053176,0.00085514865,0.00038372137,0.0016394765,0.00065141224,0.0008642059,0.00045654236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00456237,0.00042448795,0.041765705,0.0009039145,0.00017267898,0.0010565907,0.0006363327,0.51121104,0.23593163,0.0013784266,0.0016118385,0.20034504],"study_design_scores_gemma":[0.000066118475,0.002293826,0.040789593,0.00010738845,0.00014663108,0.001012143,0.00053184497,0.44126758,0.5096476,0.00093468133,0.0030553082,0.00014726438],"about_ca_topic_score_codex":0.0025729083,"about_ca_topic_score_gemma":0.0020919433,"teacher_disagreement_score":0.0025729083,"about_ca_system_score_codex":0.00062551064,"about_ca_system_score_gemma":0.00036812908,"threshold_uncertainty_score":0.013320684},"labels":[],"label_agreement":null},{"id":"W4284894640","doi":"10.1109/itec53557.2022.9813996","title":"A Blind Modeling Tool for Standardized Evaluation of Battery State of Charge Estimation Algorithms","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"NIST; Computer science; Algorithm; Benchmark (surveying); Battery (electricity); Machine learning; Facial recognition system; Ranging; Artificial intelligence; Data mining; Power (physics); Pattern recognition (psychology); Speech recognition","score_opus":0.06049435467592945,"score_gpt":0.3436605360590481,"score_spread":0.28316618138311866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284894640","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021649236,0.0006054581,0.80330944,0.0004054012,0.000927854,0.0011366982,0.019852903,0.14349967,0.008613313],"genre_scores_gemma":[0.24983995,0.00079017517,0.64183295,0.0009912818,0.0002067198,0.005903623,0.06753411,0.01842691,0.014474207],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99506915,0.0008557836,0.0008592052,0.000743624,0.0022587539,0.00021350788],"domain_scores_gemma":[0.984976,0.0057686414,0.0011050196,0.0032007063,0.00477965,0.00016997315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006673393,0.002400646,0.0012536813,0.003478882,0.00069481187,0.0022390713,0.0026827406,0.0018628165,0.025567258],"category_scores_gemma":[0.034062624,0.00080738857,0.0015157856,0.0019851038,0.0005315583,0.003171754,0.0021124592,0.0017856931,0.009167335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020287056,0.0011996854,0.010455533,0.0029822032,0.00056747627,0.0008124827,0.0005387717,0.1254054,0.03112128,0.018876638,0.32117665,0.48483515],"study_design_scores_gemma":[0.0005313908,0.0011052134,0.01030778,0.0005771926,0.0001594649,0.0009890067,0.0003797811,0.703994,0.1108533,0.018180849,0.15248868,0.00043343584],"about_ca_topic_score_codex":0.0031416812,"about_ca_topic_score_gemma":0.0042877947,"teacher_disagreement_score":0.025567258,"about_ca_system_score_codex":0.00096410984,"about_ca_system_score_gemma":0.0015741963,"threshold_uncertainty_score":0.085531},"labels":[],"label_agreement":null},{"id":"W4284968954","doi":"10.1016/j.iot.2022.100579","title":"The applications of Internet of Things in the automotive industry: A review of the batteries, fuel cells, and engines","year":2022,"lang":"en","type":"review","venue":"Internet of Things","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Automotive industry; Internet of Things; Fuel cells; Computer science; Automotive engine; Automotive engineering; Manufacturing engineering; Engineering; Computer security","score_opus":0.0270826987241033,"score_gpt":0.2996571157036429,"score_spread":0.2725744169795396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284968954","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017688696,0.9967796,0.0002609218,0.00031144856,0.00029329432,0.000007925368,0.000022762293,0.0000075313474,0.002139633],"genre_scores_gemma":[0.0007160223,0.9980718,0.00029924576,0.00017046883,0.00018150364,0.0000061862283,0.000023146325,0.0000017632331,0.00052976504],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996866,0.000048582184,0.00005499369,0.000051947296,0.00013340972,0.00002458506],"domain_scores_gemma":[0.9992367,0.00043197017,0.000086118875,0.000018920007,0.00019248338,0.000033760254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005713546,0.00083836354,0.0009001069,0.003593449,0.00033074216,0.00094528846,0.00056486094,0.000955375,0.0033113302],"category_scores_gemma":[0.0009104282,0.00033874006,0.0006729523,0.004271965,0.0003745511,0.0017573119,0.0004988653,0.0012797004,0.0013961896],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004014726,0.000091637114,0.00039099227,0.03431825,0.000099924,0.0002540637,0.00018197036,0.000607874,0.002108317,0.009912626,0.029383859,0.9226104],"study_design_scores_gemma":[0.000004611149,0.0000991111,0.0011917652,0.007865111,0.00011479066,0.0008744068,0.00012525746,0.00013486257,0.00039374357,0.002718921,0.9864529,0.000024418232],"about_ca_topic_score_codex":0.0013937432,"about_ca_topic_score_gemma":0.0025253752,"teacher_disagreement_score":0.003593449,"about_ca_system_score_codex":0.0004560146,"about_ca_system_score_gemma":0.0013235619,"threshold_uncertainty_score":0.011077523},"labels":[],"label_agreement":null},{"id":"W4285125344","doi":"10.2139/ssrn.4102553","title":"Heat Generation Rates and Anisotropic Thermophysical Properties of Cylindrical Lithium-Ion Batteries with Different Terminal Mounting Configurations","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Terminal (telecommunication); Materials science; Lithium (medication); Ion; Anisotropy; Mechanics; Thermodynamics; Composite material; Nuclear engineering; Chemistry; Engineering; Physics; Optics; Telecommunications","score_opus":0.013837549376018906,"score_gpt":0.2321456745867095,"score_spread":0.2183081252106906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285125344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99808514,0.0001537494,0.0007253021,0.00001163705,0.0000046107334,0.0000025180043,0.00015153052,0.000034781726,0.00083065114],"genre_scores_gemma":[0.9994911,0.000042509728,0.00013582372,0.0000014741415,0.0000016715542,0.000003317989,0.00008130531,0.000014319523,0.0002285609],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987733,0.000017520371,0.0000069481453,0.000023790555,0.00003795641,0.00003656661],"domain_scores_gemma":[0.999405,0.00022548369,0.0001291285,0.000060267255,0.0001457566,0.00003435667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003042496,0.0002887033,0.00019010656,0.0003749936,0.00017987358,0.00035239258,0.00022874057,0.00020332789,0.0022211433],"category_scores_gemma":[0.00091019744,0.00017017119,0.00017813894,0.00042860888,0.00032686212,0.0005378731,0.00018518567,0.00022848314,0.00030443794],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021169467,0.00006161422,0.0052739345,0.00014036182,0.000020222833,0.00018610727,0.00036706,0.012513375,0.9670141,0.0009940907,0.0005648418,0.010747495],"study_design_scores_gemma":[0.000033740605,0.0005352291,0.031313118,0.000015103828,0.00003854993,0.00014876523,0.00029199797,0.031393483,0.9349174,0.00025874202,0.0009949395,0.0000588829],"about_ca_topic_score_codex":0.0005357185,"about_ca_topic_score_gemma":0.00043105957,"teacher_disagreement_score":0.0022211433,"about_ca_system_score_codex":0.00018081401,"about_ca_system_score_gemma":0.00012596571,"threshold_uncertainty_score":0.007430434},"labels":[],"label_agreement":null},{"id":"W4285142492","doi":"10.1109/tpel.2022.3187568","title":"Dual-Inverter-Integrated Three-Phase EV Charger Based on Split-Phase Machine","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Inverter; Drivetrain; Electrical engineering; Computer science; Three-phase; Electronic engineering; Electric vehicle; Topology (electrical circuits); Engineering; Voltage; Power (physics); Torque; Physics","score_opus":0.012252047547433892,"score_gpt":0.2711274540950467,"score_spread":0.25887540654761276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285142492","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17800614,0.0004959427,0.7989819,0.00015162298,0.00018688118,0.0001937173,0.00022506774,0.0027227756,0.019035924],"genre_scores_gemma":[0.9477731,0.00014204573,0.04705516,0.000039488896,0.000021101498,0.00005665318,0.00014103389,0.000042394302,0.004728998],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999818,0.000025002,0.000010768128,0.000037959482,0.000089897185,0.000018494786],"domain_scores_gemma":[0.999897,0.000017266511,0.000017712306,0.000023612547,0.000034899076,0.000009387192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015826001,0.00032517719,0.0005535371,0.00029498214,0.00021169616,0.0006005607,0.0011089937,0.0003265164,0.0036573608],"category_scores_gemma":[0.00017452337,0.00015220781,0.00031297098,0.0002661346,0.00015827118,0.0006301023,0.00037244783,0.0004956744,0.00084445043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094204815,0.0007332778,0.0029631227,0.0012565649,0.00018467181,0.0007186048,0.00031041302,0.06598963,0.460879,0.017896976,0.007913112,0.44021258],"study_design_scores_gemma":[0.00022849979,0.0019819573,0.0031259824,0.000057465848,0.000101794176,0.0016717975,0.00008639663,0.77812135,0.18091193,0.0041200668,0.029547302,0.00004546365],"about_ca_topic_score_codex":0.00025911155,"about_ca_topic_score_gemma":0.00050603214,"teacher_disagreement_score":0.0036573608,"about_ca_system_score_codex":0.00020182553,"about_ca_system_score_gemma":0.00021141536,"threshold_uncertainty_score":0.012235105},"labels":[],"label_agreement":null},{"id":"W4285144318","doi":"10.1109/tpel.2022.3186851","title":"Lifetime Performance Analysis of Imbalanced EV Battery Packs and Small-Signal Cell Modeling for Improved Active Balancing Control","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Canada Foundation for Innovation; Government of Ontario","keywords":"Battery (electricity); Battery pack; Electrical impedance; Energy (signal processing); Electrical engineering; Topology (electrical circuits); Electronic engineering; Computer science; Simulation; Mathematics; Engineering; Physics; Power (physics); Statistics","score_opus":0.006509254724269518,"score_gpt":0.21654596699547185,"score_spread":0.21003671227120232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285144318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79125965,0.00036113133,0.19450806,0.00022777029,0.000043725388,0.000046742716,0.0004904232,0.00070599024,0.012356458],"genre_scores_gemma":[0.99663335,0.00004905181,0.002112819,0.000012135931,0.000003051821,0.000017823104,0.000072896604,0.000019507874,0.001079386],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991643,0.000012826847,0.000004934614,0.000014091365,0.0000359201,0.000015927732],"domain_scores_gemma":[0.99979943,0.00008653053,0.000023016994,0.000025290072,0.000056743993,0.0000089956875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022686548,0.00026152347,0.0003471856,0.00030157916,0.00017191068,0.00040981724,0.00045782514,0.0003654522,0.0018584199],"category_scores_gemma":[0.0007557577,0.00013134153,0.00027039976,0.00029386525,0.0002057369,0.0005738143,0.00021525317,0.00023803575,0.0003567966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010559472,0.000025088506,0.0010041754,0.000035829828,0.000011262469,0.000054575426,0.000044900276,0.9779189,0.012421217,0.0014331064,0.00039417454,0.0065511013],"study_design_scores_gemma":[0.0000012940545,0.000017222299,0.00014219174,0.0000013620888,0.0000018978589,0.0000049793966,0.0000064800483,0.9972625,0.0022410208,0.00018535151,0.00013417071,0.0000014413454],"about_ca_topic_score_codex":0.0022890216,"about_ca_topic_score_gemma":0.0018681634,"teacher_disagreement_score":0.0022890216,"about_ca_system_score_codex":0.0005313681,"about_ca_system_score_gemma":0.0002732664,"threshold_uncertainty_score":0.006217003},"labels":[],"label_agreement":null},{"id":"W4285196468","doi":"10.1109/tte.2022.3173918","title":"Novel Image-Based Rapid RUL Prediction for Li-Ion Batteries Using a Capsule Network and Transfer Learning","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Computer science; Implementation; Transfer of learning; Preprocessor; Battery pack; Artificial intelligence; Reliability engineering; Machine learning; Simulation; Engineering","score_opus":0.019261498241819542,"score_gpt":0.24358947608125742,"score_spread":0.22432797783943786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285196468","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09060361,0.00038026553,0.9049965,0.00019664614,0.00007170767,0.000051141218,0.00013730786,0.0010883954,0.002474416],"genre_scores_gemma":[0.901577,0.00036966937,0.093639076,0.000094451374,0.00004183376,0.00007983842,0.000303739,0.00006044582,0.0038338506],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990225,0.000012337084,0.000004629028,0.000028901726,0.000033916484,0.00001783774],"domain_scores_gemma":[0.99976367,0.000080306134,0.00003076305,0.000024914933,0.000083248175,0.000017012218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003336062,0.0005992565,0.00038846495,0.00048835936,0.00019023819,0.0005707075,0.0008333327,0.0005103452,0.0013508456],"category_scores_gemma":[0.0010101175,0.00018445942,0.0003664898,0.00040253336,0.00024851094,0.0010173338,0.0005155455,0.0005481839,0.00036520232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039287272,0.0001721807,0.0053934557,0.0001081351,0.00005470668,0.00023519438,0.000094212824,0.5141547,0.025039813,0.002323193,0.0026242298,0.4494073],"study_design_scores_gemma":[0.0000016755733,0.000019043995,0.00029730645,0.000002006585,0.000003881421,0.000013702794,0.000004915377,0.996865,0.0023170952,0.00030289227,0.00016915875,0.0000033908511],"about_ca_topic_score_codex":0.004478182,"about_ca_topic_score_gemma":0.0038509143,"teacher_disagreement_score":0.004478182,"about_ca_system_score_codex":0.0005438368,"about_ca_system_score_gemma":0.00037137093,"threshold_uncertainty_score":0.008904219},"labels":[],"label_agreement":null},{"id":"W4285199437","doi":"10.1109/tia.2022.3187675","title":"Guest Editorial: Fast, Superfast, and Ultra-Superfast Intelligent and Smart Charging Solutions for Electric Vehicles","year":2022,"lang":"en","type":"editorial","venue":"IEEE Transactions on Industry Applications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Retrofitting; Automotive engineering; Battery (electricity); Limiting; Electric vehicle; Electrical engineering; Smart grid; Engineering; Trickle charging; Computer science; Power (physics); Mechanical engineering","score_opus":0.020113778965155222,"score_gpt":0.27102012049827445,"score_spread":0.25090634153311925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285199437","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000055973807,0.0044632005,0.00015725844,0.022654885,0.9694402,0.000021643224,0.000049759165,0.00008079838,0.0030763175],"genre_scores_gemma":[0.0005120422,0.004352581,0.00008986754,0.01310925,0.96746683,0.000018147914,0.00003717572,0.000047279067,0.014366847],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970805,0.00032508542,0.00027869295,0.0003851079,0.0016804868,0.00025006806],"domain_scores_gemma":[0.9909797,0.0024522918,0.0005522181,0.00023270448,0.0038417834,0.001941259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037002796,0.0032933818,0.0025799125,0.0022373814,0.0024440715,0.0077046067,0.0029206506,0.014445123,0.02250639],"category_scores_gemma":[0.011730108,0.000861299,0.0020823148,0.0009837403,0.001734128,0.004795245,0.0012839002,0.014321985,0.021289447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032618027,0.000015254601,0.00002096184,0.00017838289,0.000008686357,0.00014404285,0.00000834873,0.000026916281,0.00010193072,0.0002591758,0.9936538,0.0055499375],"study_design_scores_gemma":[0.000042628217,0.0000359343,0.0001720693,0.0002667416,0.000022440261,0.00040067793,0.00003043539,0.00013727212,0.00015074323,0.0006334868,0.9980925,0.000015091475],"about_ca_topic_score_codex":0.000737236,"about_ca_topic_score_gemma":0.0020338402,"teacher_disagreement_score":0.02250639,"about_ca_system_score_codex":0.0018503678,"about_ca_system_score_gemma":0.001809993,"threshold_uncertainty_score":0.075291336},"labels":[],"label_agreement":null},{"id":"W4285227308","doi":"10.22201/fi.25940732e.2022.23.1.008","title":"Bidirectional EV charger with ancillary power quality capabilities","year":2022,"lang":"en","type":"article","venue":"Ingeniería Investigación y Tecnología","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Total harmonic distortion; Harmonics; Power factor; AC power; Engineering; Microgrid; Electrical engineering; Power (physics); Voltage; Electric vehicle; Control theory (sociology); Power control; Electronic engineering; Computer science; Control (management); Physics","score_opus":0.02257540255424318,"score_gpt":0.25382737096451036,"score_spread":0.23125196841026718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285227308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4755609,0.0019812493,0.42740497,0.0003741521,0.0003930204,0.0003282174,0.0004685003,0.0060153287,0.08747364],"genre_scores_gemma":[0.9739455,0.00028746735,0.012043525,0.00008428722,0.000040752802,0.000039740982,0.00014914022,0.000060256312,0.013349358],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998024,0.00002201424,0.000008207166,0.000037001257,0.000097927375,0.000032382824],"domain_scores_gemma":[0.9999188,0.000008017575,0.000010661597,0.000016348586,0.000034899575,0.000011222489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015619386,0.00041248443,0.00039968436,0.00032028605,0.00027893874,0.0005299869,0.0008661683,0.00038630806,0.0042129587],"category_scores_gemma":[0.00013526452,0.00011728135,0.00030015325,0.00021174662,0.00013923002,0.00049586856,0.0005320688,0.0004039162,0.0019273437],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010757715,0.000340258,0.0040799105,0.00067613873,0.00007568954,0.0015704843,0.00032236954,0.0135978535,0.4798275,0.008900028,0.007011256,0.48252276],"study_design_scores_gemma":[0.00037258465,0.0032867375,0.012179163,0.00014068764,0.00026152952,0.008343695,0.00031750803,0.26724756,0.54242045,0.003982773,0.16127402,0.00017328572],"about_ca_topic_score_codex":0.0006375651,"about_ca_topic_score_gemma":0.0006953766,"teacher_disagreement_score":0.0042129587,"about_ca_system_score_codex":0.00014958659,"about_ca_system_score_gemma":0.00017677665,"threshold_uncertainty_score":0.014093697},"labels":[],"label_agreement":null},{"id":"W4285252168","doi":"10.1109/ojpel.2022.3174445","title":"An Efficient PV Battery Charger/Harvester for Low Power Applications, Suitable for Heavily Overcast Operations","year":2022,"lang":"en","type":"article","venue":"IEEE Open Journal of Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Boost converter; Duty cycle; Voltage; Electrical engineering; Inductor; Overcast; Battery (electricity); Power (physics); Electronic engineering; Reliability (semiconductor); Computer science; Engineering; Physics","score_opus":0.0145938262940405,"score_gpt":0.3062877731541608,"score_spread":0.2916939468601203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285252168","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35869956,0.0023575143,0.62065876,0.0003852936,0.00028108386,0.00018824506,0.0005316686,0.0027517225,0.014146206],"genre_scores_gemma":[0.8946278,0.00067990494,0.090490334,0.00015279642,0.00004382971,0.000060761995,0.00021402547,0.000102374404,0.013628069],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991035,0.000006079699,0.0000033130684,0.00002304964,0.000049398885,0.000007834889],"domain_scores_gemma":[0.9999527,0.0000065215345,0.000007788511,0.000009142497,0.000019658411,0.00000420608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010703749,0.00015381988,0.0003009803,0.00018116001,0.00015964378,0.000339685,0.0006298384,0.00029297482,0.0014944117],"category_scores_gemma":[0.000103271654,0.000120324046,0.00018109767,0.0002912762,0.00010500637,0.00053740497,0.00023118417,0.0004172736,0.00069704896],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008108504,0.00003474033,0.00027903687,0.00020158337,0.00001539966,0.00014688597,0.000037391274,0.0014106709,0.941461,0.0009881185,0.0008768571,0.05446729],"study_design_scores_gemma":[0.000032747772,0.00039386156,0.003044663,0.000022562144,0.000054018936,0.0014164554,0.000038435945,0.05028876,0.91527593,0.00086104014,0.02854577,0.00002585384],"about_ca_topic_score_codex":0.00014121745,"about_ca_topic_score_gemma":0.0003850677,"teacher_disagreement_score":0.0014944117,"about_ca_system_score_codex":0.00013629433,"about_ca_system_score_gemma":0.00013154282,"threshold_uncertainty_score":0.00499928},"labels":[],"label_agreement":null},{"id":"W4285302890","doi":"10.1109/tcst.2022.3179615","title":"Optimal Energy Management and Storage Sizing for Electric Vehicles With Dual Storage","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Control Systems Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sizing; Energy storage; Dynamic programming; Computer science; Energy management; Linear programming; Battery (electricity); Dual (grammatical number); Mathematical optimization; Time horizon; Depth of discharge; Range (aeronautics); Computer data storage; Automotive engineering; Power (physics); Energy (signal processing); Engineering; Algorithm; Mathematics; Computer hardware","score_opus":0.007278747434615168,"score_gpt":0.21152518949705734,"score_spread":0.20424644206244216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285302890","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07556684,0.00054451707,0.9145406,0.00030570535,0.000054979464,0.00009935036,0.00012989192,0.0002410603,0.008517161],"genre_scores_gemma":[0.9471581,0.00014975507,0.050684914,0.000035653527,0.000012539638,0.00007281599,0.000044647568,0.000026267508,0.0018152847],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973935,0.00005899592,0.000015139647,0.000064508495,0.00007769079,0.00004432328],"domain_scores_gemma":[0.99974936,0.00010975165,0.00005311836,0.000020620131,0.000048961254,0.000018182769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044911695,0.0007091353,0.0006939529,0.00034683838,0.00032287915,0.0011662106,0.0008621057,0.0005095136,0.0020485139],"category_scores_gemma":[0.0012055581,0.00041092004,0.00035672195,0.00046807659,0.00049967505,0.001081333,0.0006951973,0.00065810914,0.0002164749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010632448,0.000050608676,0.00032131487,0.000076048076,0.000015210603,0.00006433953,0.000041771935,0.9535467,0.0061632767,0.009812839,0.00071573135,0.029085793],"study_design_scores_gemma":[0.00000934484,0.000034177796,0.00008403949,0.0000050074495,0.0000053505246,0.000015908268,0.000020024678,0.9944833,0.0008310402,0.0040977853,0.0004092207,0.000004700758],"about_ca_topic_score_codex":0.0021595366,"about_ca_topic_score_gemma":0.0030176912,"teacher_disagreement_score":0.0021595366,"about_ca_system_score_codex":0.00086130924,"about_ca_system_score_gemma":0.0008695161,"threshold_uncertainty_score":0.0068529844},"labels":[],"label_agreement":null},{"id":"W4285397407","doi":"10.1149/ma2022-017623mtgabs","title":"(Invited) Nanotechnology for Industrial Electrochemical Energy Storage","year":2022,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Renewable energy; Energy storage; Electrochemical energy storage; Nanotechnology; Sustainability; Fossil fuel; Electrochemical energy conversion; Fuel cells; Computer science; Process engineering; Engineering; Supercapacitor; Power (physics); Electrical engineering; Materials science; Waste management; Chemistry; Electrochemistry","score_opus":0.02143143149240869,"score_gpt":0.24697437452420806,"score_spread":0.22554294303179936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285397407","genre_codex":"editorial","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030499676,0.10837369,0.0042000753,0.13389869,0.573618,0.0006099516,0.0010469856,0.00060651015,0.17459615],"genre_scores_gemma":[0.013322278,0.04936694,0.0030981752,0.035992756,0.094007105,0.00043951275,0.0007635085,0.00029722785,0.8027125],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988605,0.00010946381,0.000076052354,0.0002248838,0.000536822,0.00019226673],"domain_scores_gemma":[0.99916494,0.00008162523,0.00004611896,0.000028987753,0.00043966266,0.00023869351],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013423216,0.0016617823,0.0006505049,0.00090157083,0.001191861,0.0029329376,0.0009705126,0.0050716475,0.05556211],"category_scores_gemma":[0.0014696255,0.00045371975,0.0010761623,0.00044665055,0.00060157216,0.0031653503,0.0017751517,0.0046947277,0.042617094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000119901,0.000054950724,0.00017239418,0.0004203111,0.000022911632,0.00021154995,0.00004813638,0.00018581064,0.002915158,0.004273068,0.9278054,0.06377039],"study_design_scores_gemma":[0.000009764144,0.000028355522,0.00023237085,0.00006468226,0.000007280252,0.00006450982,0.000035601664,0.00009493568,0.0005668479,0.0012197001,0.99766445,0.000011488823],"about_ca_topic_score_codex":0.0010629162,"about_ca_topic_score_gemma":0.0034149496,"teacher_disagreement_score":0.05556211,"about_ca_system_score_codex":0.0014794884,"about_ca_system_score_gemma":0.0013024954,"threshold_uncertainty_score":0.18587375},"labels":[],"label_agreement":null},{"id":"W4285398966","doi":"10.1149/ma2022-015603mtgabs","title":"Lithium-Ion Battery Second Life: Cell Performance Assessment for Stationary Energy Storage Applications","year":2022,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Reuse; Work (physics); Environmental economics; Battery (electricity); Remanufacturing; Energy storage; Automotive industry; Sustainability; Resource (disambiguation); Engineering; Process engineering; Reliability engineering; Waste management; Automotive engineering; Computer science; Manufacturing engineering; Mechanical engineering","score_opus":0.013647611515221791,"score_gpt":0.2562391311477574,"score_spread":0.24259151963253564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285398966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93623215,0.013764396,0.018007327,0.00040018914,0.00024284009,0.00036029596,0.006342014,0.0010017016,0.023649128],"genre_scores_gemma":[0.9791646,0.0035861891,0.0036478292,0.00014953988,0.000045444227,0.00019431343,0.003941307,0.000093719966,0.009177046],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99934393,0.000029879126,0.00003741126,0.00007019262,0.00045887768,0.00005969181],"domain_scores_gemma":[0.99903584,0.00011462786,0.000057294554,0.000056857145,0.00069176825,0.000043635726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008481378,0.0008054321,0.00065550854,0.0016696134,0.00048013427,0.0012219615,0.0009525484,0.0011353829,0.0038881332],"category_scores_gemma":[0.0012272081,0.00016256844,0.00087767775,0.001252564,0.00025364247,0.001377705,0.00068207603,0.00062313734,0.001937114],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040831463,0.0007626677,0.033056512,0.003481214,0.000199353,0.0013171082,0.0010190138,0.045605425,0.5965507,0.0021187034,0.01754323,0.29426283],"study_design_scores_gemma":[0.00008682778,0.006332287,0.038388513,0.00026613954,0.00029350215,0.001547457,0.0012329151,0.07736297,0.81175274,0.0013653772,0.061144892,0.00022644168],"about_ca_topic_score_codex":0.0021933883,"about_ca_topic_score_gemma":0.0030161047,"teacher_disagreement_score":0.0038881332,"about_ca_system_score_codex":0.0008679884,"about_ca_system_score_gemma":0.0005325975,"threshold_uncertainty_score":0.013007104},"labels":[],"label_agreement":null},{"id":"W4285399101","doi":"10.1149/ma2022-012247mtgabs","title":"(Digital Presentation) Evaluating the Corrosivity of Liquid LiPF<sub>6</sub> Electrolytes with Nickel-Coated Mild Steel Used in the Manufacturing of Li-Ion Cells for Energy Storage","year":2022,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"E-One Moli Energy (Canada)","funders":"","keywords":"Corrosion; Electrolyte; Degradation (telecommunications); Materials science; Moisture; Hydrofluoric acid; Tafel equation; Metallurgy; Chemistry; Electrochemistry; Electrode; Composite material","score_opus":0.021404325363920215,"score_gpt":0.2638981304640832,"score_spread":0.242493805100163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285399101","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42091882,0.012382132,0.07533891,0.004207065,0.013563758,0.0011770722,0.032428846,0.018259006,0.42172447],"genre_scores_gemma":[0.4602758,0.004766458,0.027519101,0.0021367986,0.00080361683,0.00034114422,0.0113064945,0.0010896665,0.4917608],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998815,0.000006679343,0.000008080264,0.000019876321,0.000072667055,0.000011139508],"domain_scores_gemma":[0.9997851,0.000050713137,0.000016642323,0.000020889267,0.00010987225,0.000016692347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019216226,0.00036343088,0.00025933547,0.00061820087,0.00026186506,0.0006129129,0.0004601129,0.00057814905,0.17534001],"category_scores_gemma":[0.0005218382,0.00012123086,0.00020344461,0.00040613188,0.00010983257,0.00045536362,0.00033282538,0.00045097456,0.024307624],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001210728,0.00021781695,0.0013961252,0.00071596465,0.00002467828,0.00085429335,0.00011957099,0.0005616352,0.62494355,0.0009845088,0.09230514,0.276666],"study_design_scores_gemma":[0.00010097276,0.0025081802,0.016827006,0.0001942255,0.00008714704,0.0021579913,0.0002763189,0.0049934573,0.68310267,0.00073681277,0.2889378,0.00007743223],"about_ca_topic_score_codex":0.0006285851,"about_ca_topic_score_gemma":0.0011753136,"teacher_disagreement_score":0.17534001,"about_ca_system_score_codex":0.00020582991,"about_ca_system_score_gemma":0.000110656336,"threshold_uncertainty_score":0.58657074},"labels":[],"label_agreement":null},{"id":"W4285399344","doi":"10.1149/ma2022-01185mtgabs","title":"Practical Considerations in the Development of 3 and 15 Ah Rechargeable Lithium Pouch Cells","year":2022,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"EaglePicher (Canada)","funders":"","keywords":"Anode; Lithium (medication); Lithium metal; Pouch; Electrolyte; Materials science; Graphite; Nanotechnology; Chemical engineering; Chemistry; Electrode; Composite material; Engineering; Surgery; Biology; Physical chemistry","score_opus":0.04983043942383404,"score_gpt":0.3036517414420584,"score_spread":0.2538213020182244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285399344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5368066,0.034934364,0.3458765,0.010151753,0.0020042013,0.0019510632,0.0011303163,0.0019923032,0.06515293],"genre_scores_gemma":[0.6531468,0.01001144,0.30772364,0.0011709275,0.00020896508,0.0007857364,0.0009911595,0.00023003646,0.02573136],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99891305,0.00020059118,0.00010253983,0.00015718401,0.0005212229,0.00010540163],"domain_scores_gemma":[0.9994898,0.00012633238,0.00004190342,0.00006872608,0.00021557168,0.00005763127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029153135,0.00036270867,0.00036316417,0.0003837808,0.0003484285,0.0016576706,0.0012728664,0.0013872564,0.00414948],"category_scores_gemma":[0.0014729117,0.00029797267,0.0006367672,0.00033267814,0.00038587025,0.0019134771,0.0007150154,0.0013081434,0.0019223978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059535156,0.00044589172,0.0028349971,0.0012861022,0.00004615019,0.0014088954,0.0006751005,0.006191459,0.71905255,0.034862466,0.006614493,0.22598663],"study_design_scores_gemma":[0.00017165828,0.0028350088,0.0036807999,0.00026084753,0.00007013014,0.0028586774,0.00052145356,0.012651312,0.68064785,0.0075011114,0.28866857,0.00013259816],"about_ca_topic_score_codex":0.000690375,"about_ca_topic_score_gemma":0.0015856677,"teacher_disagreement_score":0.00414948,"about_ca_system_score_codex":0.00060110446,"about_ca_system_score_gemma":0.0007871553,"threshold_uncertainty_score":0.015417814},"labels":[],"label_agreement":null},{"id":"W4285399740","doi":"10.1149/ma2022-012200mtgabs","title":"Investigation of Redox Shuttle Generation in LiFePO<sub>4</sub>/Graphite and NMC811/Graphite Cells for Different Additives and Conducting Salts","year":2022,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Dalhousie University","funders":"","keywords":"Electrolyte; Graphite; Ethylene carbonate; Anode; Materials science; Dissolution; Dimethyl carbonate; Chemical engineering; Cathode; Inorganic chemistry; Chemistry; Electrode; Organic chemistry; Metallurgy; Methanol","score_opus":0.036471575426662975,"score_gpt":0.24467245421172754,"score_spread":0.20820087878506455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285399740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969409,0.0008169103,0.0010644672,0.000052417527,0.000018962386,0.000027284283,0.00020703598,0.00003143149,0.0008404163],"genre_scores_gemma":[0.9955389,0.0005901666,0.0025432894,0.000031678774,0.0000074947197,0.000023907742,0.00022522252,0.000014375452,0.0010250224],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984443,0.000019351539,0.000006719102,0.000033136228,0.000072057366,0.000024231193],"domain_scores_gemma":[0.99984276,0.00005025817,0.000032354958,0.000010083567,0.00004654771,0.000017930857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001851198,0.00026903144,0.00023329083,0.00023610856,0.00020168877,0.00031590275,0.00032943618,0.0005182699,0.0008229449],"category_scores_gemma":[0.0003265385,0.000113433,0.00017049455,0.0002623709,0.0002939392,0.0003550331,0.00013310945,0.00046661808,0.00018017036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102415856,0.00002859591,0.0005356513,0.00010424001,0.0000064080396,0.00016898263,0.00004511331,0.00011682067,0.9960968,0.00012358165,0.000042339998,0.0026291695],"study_design_scores_gemma":[0.000008076578,0.0003426562,0.0041941055,0.000009477589,0.000009124807,0.0001761586,0.00007102467,0.0016264609,0.99229676,0.000058692243,0.0012005798,0.0000068276822],"about_ca_topic_score_codex":0.00040524296,"about_ca_topic_score_gemma":0.0005591857,"teacher_disagreement_score":0.0008229449,"about_ca_system_score_codex":0.00023677338,"about_ca_system_score_gemma":0.000119112374,"threshold_uncertainty_score":0.0027529597},"labels":[],"label_agreement":null},{"id":"W4285497173","doi":"10.1149/ma2022-012381mtgabs","title":"On the Study of Lithium Diffusivity in Lithium Nickel Manganese Cobalt Oxide Cathodes","year":2022,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; McGill University","funders":"","keywords":"Lithium (medication); Thermal diffusivity; Battery (electricity); Electrochemistry; Lithium cobalt oxide; Cobalt oxide; Materials science; Diffusion; Energy storage; Cobalt; Nickel; Cathode; Lithium-ion battery; Chemistry; Thermodynamics; Electrode; Power (physics); Metallurgy; Physical chemistry; Physics","score_opus":0.023186040472473007,"score_gpt":0.2700851448357078,"score_spread":0.24689910436323478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285497173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92294854,0.031364407,0.026238825,0.0017613417,0.0002816462,0.00009389097,0.00031101317,0.00015674806,0.01684373],"genre_scores_gemma":[0.9848428,0.0072138947,0.004953725,0.0001194438,0.00006644613,0.000038641392,0.00013773554,0.00004253684,0.0025847699],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983716,0.000015245133,0.000008024087,0.00004139775,0.00007723828,0.000020948748],"domain_scores_gemma":[0.99985564,0.000073870826,0.000022030661,0.000006724972,0.00003597386,0.0000056440913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030417828,0.0002712053,0.00028909222,0.00038689477,0.0003496012,0.0004936189,0.0005181933,0.00044560246,0.00088923227],"category_scores_gemma":[0.0006462045,0.00018075471,0.00027750607,0.000274247,0.0004521335,0.0008466291,0.00029001787,0.0006257712,0.0002349888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041313833,0.00022988713,0.0031352849,0.0017220995,0.000051532505,0.0011453684,0.00080586574,0.0264699,0.88069016,0.04454165,0.0019193772,0.03887574],"study_design_scores_gemma":[0.000055871173,0.0005257942,0.0053886375,0.00016181082,0.000054500044,0.0006442844,0.00028260975,0.35313374,0.61871254,0.0075617316,0.013383585,0.000094850555],"about_ca_topic_score_codex":0.0020569437,"about_ca_topic_score_gemma":0.0010343076,"teacher_disagreement_score":0.0020569437,"about_ca_system_score_codex":0.00055032934,"about_ca_system_score_gemma":0.00025145948,"threshold_uncertainty_score":0.0040899515},"labels":[],"label_agreement":null},{"id":"W4285497205","doi":"10.1149/ma2022-012189mtgabs","title":"Modeling Approaches for the Description of the Carbon Black Particle Size in Batch and Continuous Dispersion Processes for Lithium-Ion Battery Slurries","year":2022,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Carbon black; Materials science; Agglomerate; Dispersion (optics); Lithium-ion battery; Separator (oil production); Slurry; Process engineering; Mechanical engineering; Battery (electricity); Composite material; Power (physics); Thermodynamics; Engineering; Physics","score_opus":0.04110475418067344,"score_gpt":0.241497747875114,"score_spread":0.20039299369444055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285497205","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0630667,0.0039554085,0.9186004,0.00055651367,0.00020999112,0.00027521016,0.000804943,0.0004398395,0.012091078],"genre_scores_gemma":[0.85361874,0.004729542,0.1258542,0.00017094912,0.00015372154,0.0013825675,0.0009164958,0.00025706494,0.012916593],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977463,0.000042944765,0.000016904401,0.00004617849,0.000096760356,0.00002254917],"domain_scores_gemma":[0.9995981,0.00022666315,0.00005842832,0.00002512767,0.000080002,0.0000117530235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000564956,0.0010588176,0.0008253114,0.00060544297,0.00054678175,0.00096280215,0.0017295866,0.0024669783,0.0011942163],"category_scores_gemma":[0.001055172,0.0005208009,0.0012360746,0.0005497723,0.00064207846,0.0009445452,0.00047021284,0.0012012612,0.0004414789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000205984,0.0000562396,0.00050294027,0.00012487479,0.000017902534,0.0000915051,0.0000612795,0.98003036,0.008095732,0.005784167,0.00021708981,0.004997348],"study_design_scores_gemma":[0.000004233977,0.000016412718,0.000113299386,0.000007660004,0.0000050001518,0.000012222862,0.000007358339,0.9971042,0.0010856646,0.00086779107,0.0007695307,0.0000065777303],"about_ca_topic_score_codex":0.008981289,"about_ca_topic_score_gemma":0.0054582288,"teacher_disagreement_score":0.008981289,"about_ca_system_score_codex":0.00141917,"about_ca_system_score_gemma":0.0011403288,"threshold_uncertainty_score":0.017858028},"labels":[],"label_agreement":null},{"id":"W4285588537","doi":"10.1002/er.8294","title":"A novel heat dissipation structure based on flat heat pipe for battery thermal management system","year":2022,"lang":"en","type":"article","venue":"International Journal of Energy Research","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":129,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"State Key Laboratory of Automotive Safety and Energy; National Natural Science Foundation of China","keywords":"Battery (electricity); Battery pack; Takeoff; Automotive engineering; Thermal; Heat generation; Thermal conduction; Current (fluid); Materials science; Nuclear engineering; Electrical engineering; Power (physics); Engineering; Thermodynamics; Physics; Composite material","score_opus":0.03037781669803961,"score_gpt":0.3235845330694096,"score_spread":0.29320671637136997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285588537","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34608772,0.0022246388,0.61918294,0.0005554717,0.0005111826,0.00026428734,0.0005769836,0.005011303,0.025585447],"genre_scores_gemma":[0.97186345,0.00031141797,0.02086089,0.00005328521,0.00003611983,0.00009371183,0.00016706769,0.000047421145,0.0065666814],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998772,0.000012603272,0.000006536247,0.000032114476,0.000049154292,0.000022444698],"domain_scores_gemma":[0.99992394,0.000008797755,0.000010646239,0.000013046757,0.000033765114,0.000009810545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009844698,0.00039564664,0.00038823113,0.0003140491,0.00040946598,0.00035639718,0.0010972845,0.0003123301,0.0032376493],"category_scores_gemma":[0.00016809149,0.00022963322,0.0003882543,0.00031792984,0.00028405015,0.0011099983,0.00038956245,0.0002738992,0.0009978395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007441833,0.000265041,0.006820903,0.0011649986,0.00013361764,0.0014296315,0.00058323506,0.13869217,0.6039645,0.014765866,0.013840523,0.21759531],"study_design_scores_gemma":[0.00008100269,0.0011552855,0.00532454,0.00006137018,0.00013281494,0.0007517852,0.00017553623,0.797738,0.1572209,0.0031082213,0.03411304,0.00013748594],"about_ca_topic_score_codex":0.0009628095,"about_ca_topic_score_gemma":0.0010049433,"teacher_disagreement_score":0.0032376493,"about_ca_system_score_codex":0.00034110394,"about_ca_system_score_gemma":0.00030829076,"threshold_uncertainty_score":0.010830939},"labels":[],"label_agreement":null},{"id":"W4285816000","doi":"10.1109/td43745.2022.9817010","title":"Centralized Control Design for Bidirectional DC Charging Stations to Enable V2G","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Charging station; State of charge; Controller (irrigation); Energy storage; Grid; Computer science; Electrical engineering; Vehicle-to-grid; Electric vehicle; Charge controller; Engineering; Automotive engineering; Power (physics); Battery (electricity)","score_opus":0.034286426334680785,"score_gpt":0.2860331709462295,"score_spread":0.2517467446115487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285816000","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00964651,0.0002532917,0.9816211,0.00013555698,0.00018512193,0.00009836506,0.000029639457,0.0005214595,0.007509024],"genre_scores_gemma":[0.97434765,0.00015216297,0.022349942,0.000096445816,0.00008891736,0.00009466404,0.000040198312,0.000030062614,0.002799999],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991247,0.00011606971,0.00003944601,0.00030897534,0.0002855365,0.00012535499],"domain_scores_gemma":[0.99931395,0.00009025223,0.00008982847,0.000071665265,0.00040057878,0.00003364038],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068826426,0.0008290522,0.000551345,0.00031982196,0.0006413381,0.0015280821,0.0015564708,0.00048605708,0.0027872797],"category_scores_gemma":[0.0008509171,0.00027118847,0.00043878073,0.00028317946,0.00062397646,0.0005932766,0.00060721877,0.00095425383,0.0005374308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005094803,0.0002825271,0.0015593785,0.0006301261,0.0001465087,0.00038869638,0.00036649205,0.6170092,0.060269747,0.056121662,0.009542154,0.25317407],"study_design_scores_gemma":[0.000060350918,0.00033267128,0.0004166366,0.000023767972,0.00004947241,0.00009774065,0.000051061234,0.9782703,0.011613778,0.0035066425,0.0055586156,0.00001897896],"about_ca_topic_score_codex":0.003962116,"about_ca_topic_score_gemma":0.0042870822,"teacher_disagreement_score":0.003962116,"about_ca_system_score_codex":0.00093637645,"about_ca_system_score_gemma":0.0014685001,"threshold_uncertainty_score":0.009324431},"labels":[],"label_agreement":null},{"id":"W4285821458","doi":"10.1007/978-3-030-99364-1_4","title":"Outlining","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Paragraph; Framing (construction); Computer science; Blueprint; CLARITY; Engineering drawing; Engineering; World Wide Web; Mechanical engineering","score_opus":0.031344706537283835,"score_gpt":0.26045453353041564,"score_spread":0.22910982699313182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285821458","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00030034684,0.0018616532,0.0062270537,0.00090137613,0.0012619607,0.000091000344,0.00026743786,0.00029430597,0.9887949],"genre_scores_gemma":[0.0012275679,0.0014585133,0.0021257265,0.00054957584,0.00018317973,0.000060499944,0.00027266174,0.00017706148,0.9939452],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99965096,0.000046523335,0.000011733463,0.00005842706,0.000187288,0.000045040175],"domain_scores_gemma":[0.9997247,0.00005561928,0.000009279963,0.000040306593,0.00014184146,0.000028281744],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004008527,0.0008165206,0.0004010438,0.00156712,0.001800638,0.003956078,0.001255109,0.001280276,0.2897703],"category_scores_gemma":[0.0012149562,0.00033518072,0.00042795687,0.0017026942,0.00075500156,0.003121643,0.0014551807,0.0017241045,0.21239395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020766733,0.000056381614,0.00010585706,0.000188946,0.0000018238553,0.0001115495,0.00047328242,0.00027649952,0.0009332722,0.15267396,0.59706336,0.24809426],"study_design_scores_gemma":[7.194099e-7,0.000004127272,0.00005579097,0.000049691367,5.6316287e-7,0.00004822857,0.000084277046,0.000046729223,0.0001296521,0.0058811246,0.9936972,0.000002008313],"about_ca_topic_score_codex":0.005216579,"about_ca_topic_score_gemma":0.012873482,"teacher_disagreement_score":0.7102297,"about_ca_system_score_codex":0.0013575797,"about_ca_system_score_gemma":0.001797147,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4286268028","doi":"10.1016/j.ijhydene.2022.06.239","title":"Less is more: Robust prediction for fueling processes on hydrogen refueling stations","year":2022,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; National Research Council Canada","funders":"National Research Council Canada; Transport Canada","keywords":"Kriging; Computer science; Outlier; Regression; Lasso (programming language); Robust regression; Artificial intelligence; Machine learning; Statistics; Mathematics","score_opus":0.030221563139032754,"score_gpt":0.28922969650899016,"score_spread":0.2590081333699574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286268028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70785993,0.0007490259,0.2818282,0.001026891,0.00032292627,0.00007085216,0.0012797135,0.0032455074,0.0036169495],"genre_scores_gemma":[0.9925713,0.00005007743,0.00638832,0.00003080351,0.000027668048,0.000012416875,0.00027836204,0.00005176037,0.0005892495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981815,0.000035078236,0.0000082863435,0.000060804054,0.00004506842,0.00003254644],"domain_scores_gemma":[0.99936754,0.0003309038,0.00005202237,0.000059368762,0.00014320601,0.00004698794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061068195,0.0010906892,0.0009317248,0.00028666927,0.0003842613,0.00084016775,0.00091650925,0.0008711876,0.0013801155],"category_scores_gemma":[0.0019805261,0.00034144556,0.000476891,0.00029936252,0.00029374758,0.0010005817,0.0006212865,0.0011051269,0.0002834347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026100947,0.000063475825,0.0018539709,0.000026095906,0.000023166991,0.000036611742,0.000012035083,0.97630125,0.001988978,0.0003822344,0.00078763557,0.018263552],"study_design_scores_gemma":[0.000003248233,0.000009861434,0.00021650903,5.624523e-7,0.0000016199004,7.8226736e-7,0.0000019714348,0.9992005,0.00039323795,0.00014292287,0.000026647816,0.0000021269727],"about_ca_topic_score_codex":0.020454438,"about_ca_topic_score_gemma":0.0116530545,"teacher_disagreement_score":0.020454438,"about_ca_system_score_codex":0.00065392494,"about_ca_system_score_gemma":0.0006426469,"threshold_uncertainty_score":0.040670753},"labels":[],"label_agreement":null},{"id":"W4286542124","doi":"10.2139/ssrn.4166587","title":"Technical and Economic Evaluation of Nuclear Powered Hybrid Renewable Energy System for Fast Charging Station","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Renewable energy; Environmental economics; Engineering; Environmental science; Electrical engineering; Business; Economics","score_opus":0.010856078549091921,"score_gpt":0.25013163696637397,"score_spread":0.23927555841728204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286542124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9665999,0.00057933404,0.0076199034,0.0002597211,0.000099314755,0.00017169693,0.0007633948,0.00013694879,0.023769803],"genre_scores_gemma":[0.9976063,0.000066878965,0.00033369046,0.0000061129836,0.000007629659,0.000013657594,0.00014056833,0.000008513392,0.0018166978],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918205,0.0002528657,0.000032560118,0.000072031195,0.00037064077,0.00008985097],"domain_scores_gemma":[0.9989158,0.00044966486,0.000048026774,0.0000625351,0.0004777368,0.000046283552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011396691,0.00049635116,0.0005908903,0.0011832797,0.00085467007,0.0014291186,0.0007465307,0.0006796861,0.0065663736],"category_scores_gemma":[0.0013707777,0.00023750773,0.000740106,0.0009376009,0.00041403304,0.0013383981,0.0004264517,0.0004798293,0.00048616502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0059105107,0.00077453797,0.01901821,0.0008187994,0.00022896695,0.0013204631,0.00011924835,0.80132973,0.08316195,0.008139476,0.0043944553,0.07478365],"study_design_scores_gemma":[0.00031259112,0.006214942,0.061437868,0.00005899511,0.00043749664,0.00064850826,0.00073053193,0.84769833,0.07131571,0.0035902767,0.0074376096,0.00011728372],"about_ca_topic_score_codex":0.0042551043,"about_ca_topic_score_gemma":0.0055518993,"teacher_disagreement_score":0.0065663736,"about_ca_system_score_codex":0.0024921373,"about_ca_system_score_gemma":0.000883792,"threshold_uncertainty_score":0.021966696},"labels":[],"label_agreement":null},{"id":"W4286716026","doi":"10.1002/cjce.24570","title":"Impact of cell spreading on second‐life of lithium‐ion batteries","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Degradation (telecommunications); Fade; Sensitivity (control systems); Computer science; Process (computing); Lithium (medication); Reliability engineering; Lithium-ion battery; Power (physics); Simulation; Engineering; Electronic engineering; Telecommunications","score_opus":0.010834107063918385,"score_gpt":0.22307606297503169,"score_spread":0.2122419559111133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286716026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98624474,0.00033552034,0.007524561,0.00016404499,0.000022349566,0.000042610638,0.00020446163,0.00005209092,0.005409586],"genre_scores_gemma":[0.99893373,0.00005992118,0.00041232034,0.000008554444,0.0000012631062,0.0000095716105,0.000038745213,0.0000051180255,0.00053069],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99953365,0.000118184835,0.000016263151,0.000042253298,0.00015804128,0.00013167155],"domain_scores_gemma":[0.9974132,0.0015778485,0.00024876837,0.00015229051,0.0004906748,0.00011728146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011572856,0.0007709563,0.00054525014,0.0007789941,0.00043843494,0.0011896596,0.0008338657,0.00093265506,0.001958791],"category_scores_gemma":[0.0026994569,0.00025478844,0.00090915296,0.0005914205,0.00064992177,0.0010411395,0.0006166673,0.000762997,0.000178016],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014336445,0.00004754828,0.0026531203,0.000039342594,0.00002079976,0.00017796467,0.000037493486,0.98680604,0.005732044,0.0012559303,0.00012753396,0.0029588456],"study_design_scores_gemma":[0.000011044784,0.00025068768,0.0021557738,0.000009557032,0.00002195795,0.00006533732,0.00007674785,0.9867411,0.009627211,0.00068393326,0.0003390297,0.00001766263],"about_ca_topic_score_codex":0.011004086,"about_ca_topic_score_gemma":0.005962072,"teacher_disagreement_score":0.011004086,"about_ca_system_score_codex":0.0022822982,"about_ca_system_score_gemma":0.00065858697,"threshold_uncertainty_score":0.02188009},"labels":[],"label_agreement":null},{"id":"W4287818539","doi":"","title":"Deep Learning-Based Queue-Aware Eco-Approach and Departure System for Plug-In Hybrid Electric Buses at Signalized Intersections: A Simulation Study","year":2020,"lang":"en","type":"paratext","venue":"eScholarship (California Digital Library)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Plug-in; Queue; Computer science; Simulation; Automotive engineering; Real-time computing; Transport engineering; Computer network; Engineering; Operating system","score_opus":0.01608993496140082,"score_gpt":0.24242546242416535,"score_spread":0.22633552746276453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287818539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9331798,0.00043241508,0.05143549,0.0006763284,0.00008289271,0.000101463724,0.0006759628,0.0005514801,0.0128642665],"genre_scores_gemma":[0.9971981,0.00005419882,0.0014711609,0.000024503428,0.0000030372166,0.000032617703,0.00013815494,0.0000070797987,0.0010710837],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986076,0.000025716578,0.0000059414574,0.00002496133,0.000020991261,0.00006162236],"domain_scores_gemma":[0.99952567,0.00021021132,0.000050565257,0.000018308161,0.0001290141,0.000066297616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038743622,0.0007292701,0.0006485556,0.00046316814,0.00047214146,0.0005700858,0.00093139726,0.0009570582,0.0029858863],"category_scores_gemma":[0.00081751595,0.00034501796,0.0007379382,0.00034283838,0.00049064617,0.0006208509,0.00076416525,0.0011862026,0.00017026337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044139953,0.00005272276,0.0017172411,0.000019517714,0.000011245167,0.00006437232,0.000010470718,0.9959139,0.0001920954,0.00041998047,0.00020683749,0.0013474963],"study_design_scores_gemma":[0.0000059107892,0.000016278365,0.00016829112,0.000001174635,0.0000029504706,0.0000020107589,0.0000067526835,0.9995933,0.000074869065,0.00008977204,0.0000372124,0.0000014103191],"about_ca_topic_score_codex":0.07850579,"about_ca_topic_score_gemma":0.044296313,"teacher_disagreement_score":0.07850579,"about_ca_system_score_codex":0.0016239068,"about_ca_system_score_gemma":0.00126252,"threshold_uncertainty_score":0.15609765},"labels":[],"label_agreement":null},{"id":"W4287937870","doi":"","title":"A Review of Battery State of Health Estimation Methods: Hybrid Electric Vehicle Challenges","year":2020,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Estimation; Electric vehicle; Battery (electricity); State (computer science); State of health; Automotive engineering; Computer science; Engineering; Systems engineering; Power (physics); Algorithm; Physics","score_opus":0.035605326242671896,"score_gpt":0.302031244986023,"score_spread":0.26642591874335114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287937870","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018734635,0.92236894,0.0697329,0.0011803319,0.0009783957,0.000038884184,0.00020464504,0.00012994441,0.0034925253],"genre_scores_gemma":[0.032483134,0.9317107,0.028488856,0.00084010715,0.0021882092,0.00008064152,0.0005056753,0.00007570636,0.0036270036],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991165,0.00018029619,0.000119838165,0.000268884,0.000282291,0.000032204953],"domain_scores_gemma":[0.99377245,0.0041483324,0.00023968681,0.00019442907,0.0015703066,0.00007485278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027923777,0.0011040117,0.0018343761,0.0015790699,0.00024025199,0.001740214,0.0019440008,0.0014432851,0.0021876008],"category_scores_gemma":[0.0062077343,0.00069481216,0.00085043645,0.0022554486,0.0005610315,0.0027380928,0.0007413038,0.0011950169,0.0011757829],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007114361,0.0000467515,0.0009310979,0.0071109324,0.00014279733,0.000050343024,0.000053861626,0.006862572,0.0012387773,0.0067099105,0.010678944,0.96610284],"study_design_scores_gemma":[0.0000458657,0.0007608435,0.008035055,0.01659552,0.0011137546,0.0019040233,0.0006037762,0.09372847,0.008877574,0.038052347,0.8299467,0.00033606906],"about_ca_topic_score_codex":0.002155575,"about_ca_topic_score_gemma":0.0020142884,"teacher_disagreement_score":0.0027923777,"about_ca_system_score_codex":0.0005231243,"about_ca_system_score_gemma":0.00088879565,"threshold_uncertainty_score":0.014767647},"labels":[],"label_agreement":null},{"id":"W4288039298","doi":"10.3390/batteries8080077","title":"Characteristics of Open Circuit Voltage Relaxation in Lithium-Ion Batteries for the Purpose of State of Charge and State of Health Analysis","year":2022,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Relaxation (psychology); Voltage; Ion; State of charge; State of health; Lithium (medication); Materials science; Open-circuit voltage; Charge (physics); Battery (electricity); Chemistry; Analytical Chemistry (journal); Electrical engineering; Physics; Thermodynamics; Engineering; Quantum mechanics","score_opus":0.03048616000733713,"score_gpt":0.2915499073379385,"score_spread":0.2610637473306014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288039298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8992691,0.003942801,0.085094646,0.00042111002,0.0001396587,0.00014706541,0.0015790167,0.0015283935,0.007878142],"genre_scores_gemma":[0.99401546,0.000510382,0.0033661018,0.00007699703,0.000014934499,0.00006250025,0.0005435152,0.000048763708,0.0013612432],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996113,0.000043784246,0.000025778047,0.00007564863,0.00018989992,0.0000535528],"domain_scores_gemma":[0.9990778,0.00043972224,0.00013069333,0.00008662076,0.00022952688,0.000035693363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006703061,0.00036692224,0.00038046314,0.000617153,0.00019706287,0.00040563315,0.00090753764,0.00064310216,0.0018213841],"category_scores_gemma":[0.0019467246,0.00015341253,0.00038489996,0.0010314146,0.00026079416,0.0007939621,0.00026149082,0.000867351,0.00047274065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001881293,0.00046250282,0.015254581,0.0010008457,0.00007560483,0.0010114793,0.0017211881,0.02208699,0.81674,0.002087014,0.002380269,0.13529825],"study_design_scores_gemma":[0.000037746624,0.0026402057,0.060397945,0.00018739268,0.000094760435,0.0015573573,0.00093832257,0.24010202,0.6780018,0.002858651,0.013034621,0.00014923103],"about_ca_topic_score_codex":0.0009853475,"about_ca_topic_score_gemma":0.00091590616,"teacher_disagreement_score":0.0018213841,"about_ca_system_score_codex":0.00033631318,"about_ca_system_score_gemma":0.00017433923,"threshold_uncertainty_score":0.006093204},"labels":[],"label_agreement":null},{"id":"W4288420784","doi":"10.1016/j.est.2022.105303","title":"Lithium-ion cell equivalent circuit model identification by galvanostatic intermittent titration technique","year":2022,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Robustness (evolution); Equivalent circuit; Control theory (sociology); Analytical Chemistry (journal); Lithium-ion battery; Chemistry; Voltage; Biological system; Materials science; Battery (electricity); Computer science; Electronic engineering; Engineering; Electrical engineering; Physics; Power (physics); Chromatography; Thermodynamics; Artificial intelligence","score_opus":0.01769416987461028,"score_gpt":0.2482127845221716,"score_spread":0.23051861464756132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288420784","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047949586,0.00014676561,0.9424693,0.00008905945,0.000052213392,0.00007697434,0.00016067097,0.0016840575,0.0073714713],"genre_scores_gemma":[0.93591523,0.00014192158,0.058725372,0.000042359236,0.000010937714,0.00012226429,0.00026544728,0.00009261111,0.0046838643],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986327,0.000032877942,0.000009292267,0.000025644222,0.000058518945,0.000010426754],"domain_scores_gemma":[0.9998293,0.000061796614,0.000019951054,0.000038152222,0.000047188918,0.0000036277547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015344603,0.00040003366,0.00040466452,0.00028748516,0.00036214443,0.00059124385,0.0006195847,0.00047896837,0.0028553596],"category_scores_gemma":[0.00057668594,0.00019613627,0.00039667296,0.00023913855,0.00016041484,0.0007901938,0.00029615383,0.00060905266,0.0007853328],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036660986,0.000304568,0.0026280545,0.000634508,0.00018085829,0.00036862062,0.00044622354,0.36370248,0.22442383,0.012330842,0.0045305714,0.3900829],"study_design_scores_gemma":[0.000016133654,0.00008358301,0.0010352881,0.000011807124,0.000027459664,0.00012266458,0.000035299014,0.96525574,0.028683638,0.0017468123,0.0029651066,0.000016554128],"about_ca_topic_score_codex":0.001622434,"about_ca_topic_score_gemma":0.0021835235,"teacher_disagreement_score":0.0028553596,"about_ca_system_score_codex":0.00020400347,"about_ca_system_score_gemma":0.00031101884,"threshold_uncertainty_score":0.009552121},"labels":[],"label_agreement":null},{"id":"W4288490707","doi":"10.3390/wevj13080138","title":"Numerical Simulation of Cooling Plate Using K-Epsilon Turbulence Model to Cool Down Large-Sized Graphite/LiFePO4 Battery at High C-Rates","year":2022,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computational fluid dynamics; Materials science; Turbulence; Anode; Battery (electricity); Mechanics; Heat flux; Computer simulation; Mechanical engineering; Electrode; Thermodynamics; Physics; Heat transfer; Engineering","score_opus":0.020823966100652257,"score_gpt":0.28329043207525656,"score_spread":0.2624664659746043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288490707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85460013,0.00041868896,0.11520603,0.00049532275,0.00015589812,0.00012655223,0.00078136614,0.0006986689,0.02751743],"genre_scores_gemma":[0.9785968,0.00015727128,0.01577832,0.00003378181,0.000010620494,0.000107467975,0.00025613827,0.0000516191,0.0050080074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989235,0.00002029615,0.0000063516623,0.000015168124,0.000035299214,0.000030534302],"domain_scores_gemma":[0.9997756,0.00009536502,0.000029932367,0.000016147917,0.000059173297,0.00002383546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002001285,0.000534047,0.0005534392,0.0003443722,0.0005663991,0.0005996536,0.0006560673,0.00083816226,0.0018451456],"category_scores_gemma":[0.00047368224,0.00022103987,0.0005805657,0.0003998537,0.0005032111,0.00034919864,0.0003650187,0.00047022116,0.00019401679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048715297,0.000028878827,0.0013384053,0.000040273626,0.0000092507435,0.00012127404,0.000045921526,0.9902879,0.004977499,0.0014672055,0.00023687717,0.0013978174],"study_design_scores_gemma":[0.0000047464455,0.000012588355,0.00018170805,0.0000018563964,0.0000014107696,0.0000057070333,0.0000103856755,0.9989128,0.0006669558,0.0000732378,0.00012569515,0.0000028814961],"about_ca_topic_score_codex":0.019069113,"about_ca_topic_score_gemma":0.009615494,"teacher_disagreement_score":0.019069113,"about_ca_system_score_codex":0.0006060818,"about_ca_system_score_gemma":0.0009374415,"threshold_uncertainty_score":0.037916243},"labels":[],"label_agreement":null},{"id":"W4289260921","doi":"10.1016/j.egyai.2022.100194","title":"Hybrid data-based modeling for the prediction and diagnostics of Li-ion battery thermal behaviors","year":2022,"lang":"en","type":"article","venue":"Energy and AI","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Artificial neural network; Extended Kalman filter; Thermal runaway; Battery (electricity); Heat generation; Voltage; Computer science; Lithium-ion battery; Kalman filter; Calorimeter (particle physics); Fault (geology); Control theory (sociology); Simulation; Engineering; Artificial intelligence; Electrical engineering; Power (physics); Detector","score_opus":0.023252834749274077,"score_gpt":0.2543272516100381,"score_spread":0.23107441686076402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289260921","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47966927,0.00077116495,0.5139877,0.00026090225,0.00007590632,0.000079278536,0.0006715779,0.0011407724,0.003343293],"genre_scores_gemma":[0.9892597,0.00011612521,0.009494201,0.000021757192,0.000007674701,0.00008264879,0.00024945234,0.000014441097,0.00075406174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998723,0.000026440212,0.000013075629,0.000037077956,0.000037863272,0.000013109278],"domain_scores_gemma":[0.9996909,0.00016037734,0.00003134311,0.000023943523,0.000084207764,0.000009219823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037915443,0.00077223824,0.0004937718,0.00035746972,0.00023052453,0.00068194995,0.0007065729,0.0007401962,0.00056472205],"category_scores_gemma":[0.0009721109,0.00034451816,0.0005389356,0.00030997745,0.00025937677,0.0008802644,0.0004226253,0.00062406156,0.00014125934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002945442,0.0000239579,0.0016059323,0.000021752945,0.000021712052,0.000018956707,0.000013281454,0.98986584,0.0010711582,0.00017543587,0.00007031238,0.007082304],"study_design_scores_gemma":[7.5536605e-7,0.0000053414497,0.00017078519,9.761784e-7,0.0000016878147,0.0000014503739,0.0000017815828,0.9994759,0.00023678748,0.00007291666,0.000030247033,0.0000013735767],"about_ca_topic_score_codex":0.012804797,"about_ca_topic_score_gemma":0.00949679,"teacher_disagreement_score":0.012804797,"about_ca_system_score_codex":0.0005379641,"about_ca_system_score_gemma":0.00050897524,"threshold_uncertainty_score":0.025460541},"labels":[],"label_agreement":null},{"id":"W4289341662","doi":"10.3390/en15155580","title":"Data-Driven Degradation Modeling and SOH Prediction of Li-Ion Batteries","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"State of health; Battery (electricity); Kalman filter; Extended Kalman filter; Computer science; Automotive engineering; Process (computing); Degradation (telecommunications); Engineering; Power (physics); Artificial intelligence","score_opus":0.04098975217405092,"score_gpt":0.2612857289224992,"score_spread":0.22029597674844825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289341662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66975147,0.0011430428,0.32349917,0.000277338,0.00008050793,0.00007347611,0.0007790259,0.0008421226,0.003553871],"genre_scores_gemma":[0.9961028,0.00019198439,0.0027928425,0.0000107931755,0.000006065652,0.000026910922,0.00024027705,0.000007802093,0.0006206035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986947,0.000021542344,0.000013370053,0.000034708064,0.000046927868,0.000013953477],"domain_scores_gemma":[0.99959236,0.00015736383,0.000048703598,0.000032392887,0.0001601688,0.000008983795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035670903,0.00051826274,0.0004292183,0.00038753374,0.00015428201,0.0005323442,0.00061131554,0.00051979267,0.00031697407],"category_scores_gemma":[0.0011558789,0.00023366994,0.00046994918,0.00034371164,0.00018124831,0.0005986311,0.000243884,0.00047536765,0.00014029993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058241436,0.000038746133,0.004108503,0.00006775132,0.000025987583,0.000044148477,0.00004501571,0.9738178,0.0031989,0.00036210226,0.00026531686,0.017967483],"study_design_scores_gemma":[8.264002e-7,0.0000097281345,0.00070805283,0.0000016877256,0.0000027718042,0.0000053165904,0.0000043408436,0.9982895,0.0007931404,0.00011353233,0.000068369685,0.000002661937],"about_ca_topic_score_codex":0.012238094,"about_ca_topic_score_gemma":0.005779652,"teacher_disagreement_score":0.012238094,"about_ca_system_score_codex":0.00046310812,"about_ca_system_score_gemma":0.00038145535,"threshold_uncertainty_score":0.024333715},"labels":[],"label_agreement":null},{"id":"W4289539908","doi":"10.11591/ijai.v10i1.pp215-223","title":"Enhancement of energy consumption estimation for electric vehicles by using machine learning","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec","funders":"","keywords":"Automotive engineering; Estimation; Energy consumption; Electric energy consumption; Consumption (sociology); Computer science; Power consumption; Environmental science; Electric energy; Engineering; Electrical engineering; Power (physics); Physics; Art; Systems engineering","score_opus":0.02868241752012401,"score_gpt":0.25467272301503346,"score_spread":0.22599030549490945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289539908","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07062726,0.0005119391,0.92451376,0.00009017822,0.00005389051,0.00003083371,0.00015604003,0.0016198035,0.002396362],"genre_scores_gemma":[0.89328563,0.0003449018,0.103479885,0.000038003498,0.000033937773,0.00005337674,0.00047794884,0.00010202875,0.0021842897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981016,0.000050776933,0.000012009687,0.000052503405,0.00005554987,0.000019010813],"domain_scores_gemma":[0.9997023,0.00014064889,0.000028384462,0.000039718634,0.00008216865,0.00000682902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031346548,0.00071208115,0.0005701448,0.0006279797,0.00019039553,0.00048357286,0.0005508342,0.0005005565,0.0010643718],"category_scores_gemma":[0.0010439999,0.00019793569,0.00044800926,0.000679553,0.00012459703,0.0007549724,0.0003022801,0.00040799705,0.0006235865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011998915,0.00021767692,0.009013738,0.0001786071,0.00008864979,0.00008480426,0.000050279326,0.66154385,0.0088847,0.0015276616,0.0013066577,0.31698343],"study_design_scores_gemma":[0.0000024925919,0.000018675408,0.0010135,0.000006201957,0.0000074582717,0.000022425818,0.000007531118,0.9956682,0.00218591,0.0005217328,0.0005409854,0.000004790303],"about_ca_topic_score_codex":0.0047452627,"about_ca_topic_score_gemma":0.0043517086,"teacher_disagreement_score":0.0047452627,"about_ca_system_score_codex":0.00026605165,"about_ca_system_score_gemma":0.00037504116,"threshold_uncertainty_score":0.009435296},"labels":[],"label_agreement":null},{"id":"W4289656234","doi":"10.1007/978-3-031-09500-9_2","title":"Requirement Analysis of Fast-Charging Stations","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Software deployment; Requirements analysis; Systems engineering; Computer science; Functional requirement; Plan (archaeology); Engineering; Software engineering; Software; Geography; Operating system","score_opus":0.0354048122191717,"score_gpt":0.2872575897527396,"score_spread":0.2518527775335679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289656234","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0116624795,0.00040890707,0.9216882,0.00032393765,0.00005978168,0.00016165363,0.0005660324,0.0005497615,0.06457916],"genre_scores_gemma":[0.4509027,0.0019938813,0.39999524,0.0003127578,0.00011680843,0.0003905165,0.002576942,0.0010551108,0.14265606],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9989404,0.0002644772,0.000041566636,0.00011435008,0.00054518366,0.0000940584],"domain_scores_gemma":[0.99888796,0.0006234368,0.000045019016,0.00012466215,0.00030239837,0.00001645119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009575133,0.0010185378,0.0005798153,0.00088849803,0.0005327622,0.0018230311,0.0018730833,0.00075028784,0.01718129],"category_scores_gemma":[0.0030441063,0.0006389843,0.0011868146,0.0011928668,0.00038895648,0.0024445888,0.00079252134,0.0010350848,0.0028762042],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019658438,0.0001494381,0.0010389589,0.0005110042,0.000056722653,0.0006259778,0.00033251976,0.3633828,0.016649151,0.36840022,0.018466217,0.23019034],"study_design_scores_gemma":[0.000010665635,0.00007057098,0.0007298568,0.000071106304,0.000029173758,0.00042487445,0.00021126086,0.8241298,0.008007822,0.14080577,0.025481109,0.000028037513],"about_ca_topic_score_codex":0.004531012,"about_ca_topic_score_gemma":0.0043798676,"teacher_disagreement_score":0.01718129,"about_ca_system_score_codex":0.0014564437,"about_ca_system_score_gemma":0.0009226891,"threshold_uncertainty_score":0.057477117},"labels":[],"label_agreement":null},{"id":"W4289656277","doi":"10.1007/978-3-031-09500-9_15","title":"Advances in Charging Infrastructures","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Electrification; Grid; Implementation; Electric vehicle; Computer science; Wireless; Vehicle-to-grid; Systems engineering; Electrical engineering; Automotive engineering; Transport engineering; Engineering; Telecommunications; Electricity; Physics; Software engineering","score_opus":0.010350078501187496,"score_gpt":0.24764542593377534,"score_spread":0.23729534743258784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289656277","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010689443,0.030902538,0.019632865,0.004443744,0.003828517,0.00003763542,0.00012983508,0.00046770874,0.93948823],"genre_scores_gemma":[0.015619966,0.043558013,0.006418426,0.0016117372,0.0014535442,0.000041870913,0.0002861726,0.00034558238,0.93066466],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995726,0.000060946775,0.000014564365,0.00005151947,0.0002465256,0.00005382634],"domain_scores_gemma":[0.99977845,0.000072641065,0.000009141376,0.000045095738,0.00007321289,0.000021512667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045391032,0.0008561604,0.00039970624,0.0011352369,0.0006965462,0.003259802,0.000945111,0.0013184708,0.057331096],"category_scores_gemma":[0.0010956534,0.00041243449,0.00034436779,0.0018493349,0.00076561177,0.0051559824,0.002119608,0.0024175476,0.026806401],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021578047,0.000041720854,0.00007035351,0.00035254957,0.0000068229842,0.00008039467,0.00020074405,0.0017743526,0.0015117918,0.4069304,0.25649512,0.33251417],"study_design_scores_gemma":[0.000001203799,0.000007163791,0.000056179044,0.00008304299,0.0000016055023,0.000082577055,0.000045439716,0.00051633536,0.00030607483,0.032370545,0.9665256,0.000004197374],"about_ca_topic_score_codex":0.0013197233,"about_ca_topic_score_gemma":0.0021358025,"teacher_disagreement_score":0.057331096,"about_ca_system_score_codex":0.0018291684,"about_ca_system_score_gemma":0.001243725,"threshold_uncertainty_score":0.19179165},"labels":[],"label_agreement":null},{"id":"W4289656773","doi":"10.1007/978-3-031-09500-9_9","title":"Fast Charging for Marine Transportation","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Electrification; Renewable energy; Greenhouse gas; Grid; Engineering; Transport engineering; Environmental economics; Systems engineering; Electricity; Electrical engineering; Oceanography","score_opus":0.0200175305426462,"score_gpt":0.24586158477437248,"score_spread":0.22584405423172627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289656773","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015274775,0.019487359,0.026363747,0.002027212,0.0056195334,0.00004516121,0.0001702797,0.00054452766,0.94421476],"genre_scores_gemma":[0.0072174924,0.007262441,0.0026571099,0.00035237512,0.0003203285,0.000017435177,0.000100231715,0.00016680094,0.9819058],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99989116,0.000012697732,0.0000025654929,0.000012182547,0.00006468538,0.000016635948],"domain_scores_gemma":[0.99993515,0.000018802346,0.0000027640226,0.000011069089,0.000026256701,0.0000060520647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015894586,0.0007589245,0.0002876003,0.00078936905,0.0010240463,0.0016397771,0.0006132772,0.0012413498,0.05849755],"category_scores_gemma":[0.00035901717,0.00027166205,0.00031908584,0.0010338476,0.0003839711,0.0021070954,0.0009286294,0.0015894307,0.017161155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004291458,0.000027789296,0.0000702384,0.00025294806,0.000008340167,0.0001200252,0.00019906637,0.0021381394,0.0031384213,0.17797095,0.42558867,0.3904425],"study_design_scores_gemma":[0.0000019312033,0.000013369395,0.00012625044,0.000062548344,0.000002714205,0.00012843173,0.00006307699,0.0008700204,0.0005177494,0.017747156,0.98046046,0.0000063672696],"about_ca_topic_score_codex":0.0028249598,"about_ca_topic_score_gemma":0.0063742073,"teacher_disagreement_score":0.05849755,"about_ca_system_score_codex":0.0009992493,"about_ca_system_score_gemma":0.0008051306,"threshold_uncertainty_score":0.19569379},"labels":[],"label_agreement":null},{"id":"W4289671148","doi":"","title":"Generating Lithium-Ion Cell Thermodynamic Efficiency Maps","year":2018,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Lithium (medication); Ion; Materials science; Thermodynamics; Computer science; Chemistry; Physics","score_opus":0.00979446653823681,"score_gpt":0.22523068015908512,"score_spread":0.2154362136208483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289671148","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43825895,0.0002093316,0.505025,0.00020937095,0.00007010741,0.00018966585,0.0035122072,0.005796637,0.046728715],"genre_scores_gemma":[0.94966775,0.00011750808,0.045546196,0.000019240415,0.000013348359,0.00012759787,0.0014507336,0.00033437402,0.00272326],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99994123,0.000008285198,0.0000018540414,0.0000087099825,0.00003158323,0.000008224987],"domain_scores_gemma":[0.9997291,0.00014449822,0.000018220695,0.000030056719,0.00006620855,0.000011864021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015478714,0.00052497425,0.0003524524,0.001031999,0.000342002,0.000626802,0.00057951146,0.00041790077,0.0053480533],"category_scores_gemma":[0.0013256712,0.00035085547,0.0003530946,0.00096592563,0.00023367797,0.0005855042,0.000610464,0.00026678623,0.0010784663],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020658513,0.00008848704,0.0028501041,0.00020967536,0.000044729648,0.00022281671,0.00020508874,0.88812125,0.015794888,0.013275006,0.0033299907,0.07565141],"study_design_scores_gemma":[0.00001562026,0.000018121893,0.00082811795,0.000009059888,0.0000057052985,0.000017507748,0.00003162426,0.98523337,0.007408703,0.005196617,0.0012255586,0.000010023372],"about_ca_topic_score_codex":0.0022955125,"about_ca_topic_score_gemma":0.0030737414,"teacher_disagreement_score":0.0053480533,"about_ca_system_score_codex":0.0005025245,"about_ca_system_score_gemma":0.0003022262,"threshold_uncertainty_score":0.01789105},"labels":[],"label_agreement":null},{"id":"W4289764959","doi":"","title":"Diagnostic de l'état de santé des batteries Lithium-ion pour les applications véhicules","year":2018,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Materials science","score_opus":0.017943021587382115,"score_gpt":0.2656517659452286,"score_spread":0.24770874435784648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289764959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6906617,0.008348606,0.23048505,0.008050232,0.0017075798,0.00058060535,0.005526279,0.0051475414,0.04949236],"genre_scores_gemma":[0.9625235,0.0012155443,0.018957855,0.00050769764,0.00014554945,0.00014885746,0.00082364446,0.0000727167,0.015604684],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993618,0.00012231269,0.000024454841,0.000098583376,0.00030915835,0.00008372688],"domain_scores_gemma":[0.999203,0.00034038644,0.00007073472,0.000039252005,0.0002980498,0.000048590744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068557926,0.0006872411,0.0006132746,0.001267621,0.0004561198,0.0018668702,0.0006812266,0.0021961785,0.0065823095],"category_scores_gemma":[0.0029994666,0.00018629609,0.00053230335,0.0005257038,0.00035621747,0.00073010736,0.000534325,0.00068569294,0.0018805821],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004349028,0.0004935236,0.19988953,0.0014572478,0.00033001948,0.0040861904,0.0017668367,0.06886227,0.21235432,0.01949512,0.024430657,0.46248528],"study_design_scores_gemma":[0.00039135557,0.0017005258,0.111125976,0.00049445993,0.00028918628,0.0042869854,0.0028628896,0.46625727,0.32062024,0.016566196,0.075207,0.0001979099],"about_ca_topic_score_codex":0.007204524,"about_ca_topic_score_gemma":0.004650351,"teacher_disagreement_score":0.007204524,"about_ca_system_score_codex":0.0012322512,"about_ca_system_score_gemma":0.0010688906,"threshold_uncertainty_score":0.022020042},"labels":[],"label_agreement":null},{"id":"W4289783810","doi":"","title":"Polymer Nanocomposites - Fundamental and Possible Applications to Power sectors","year":2011,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Polymer nanocomposite; Materials science; Nanocomposite; Polymer; Polymer science; Composite material","score_opus":0.015489338001977458,"score_gpt":0.24476649103810025,"score_spread":0.22927715303612278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289783810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4328039,0.1289895,0.05944248,0.009183684,0.0019420614,0.00011603968,0.00047349988,0.00044593477,0.3666029],"genre_scores_gemma":[0.93015575,0.020404728,0.004555238,0.00023573602,0.00035802618,0.000027641814,0.00007883159,0.000049356393,0.04413474],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992836,0.000009501513,0.00000193586,0.000021883669,0.00001934357,0.00001904945],"domain_scores_gemma":[0.99990404,0.00004148225,0.000012205067,0.000007763719,0.000018950146,0.000015604714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011656745,0.00030373145,0.0002951912,0.00035223522,0.00035475055,0.00145645,0.0002710502,0.0010577327,0.009263355],"category_scores_gemma":[0.000292521,0.00022069998,0.00020585583,0.00032936645,0.0005290759,0.00123929,0.00041677707,0.00072572497,0.00097105885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050901016,0.00027585786,0.0007218507,0.001579863,0.000026931488,0.00061120605,0.0002433295,0.009476196,0.6410125,0.22919701,0.0059181936,0.11042813],"study_design_scores_gemma":[0.00006301505,0.00074249995,0.0026752516,0.00020017874,0.00003822829,0.0012631353,0.0005402188,0.025969556,0.64451253,0.12742361,0.19649632,0.000075432596],"about_ca_topic_score_codex":0.00014183336,"about_ca_topic_score_gemma":0.00017181515,"teacher_disagreement_score":0.009263355,"about_ca_system_score_codex":0.0003882833,"about_ca_system_score_gemma":0.00014928677,"threshold_uncertainty_score":0.03098905},"labels":[],"label_agreement":null},{"id":"W4289997111","doi":"10.3390/en15155662","title":"Li-Ion Battery Anode State of Charge Estimation and Degradation Monitoring Using Battery Casing via Unknown Input Observer","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anode; State of charge; Battery (electricity); Battery pack; Lithium-ion battery; Electrical engineering; Electrode; Materials science; Computer science; Control theory (sociology); Engineering; Chemistry; Physics","score_opus":0.027159673519655935,"score_gpt":0.2612787882158406,"score_spread":0.23411911469618468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289997111","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055353798,0.0004127009,0.940833,0.00009559213,0.000071998,0.000052825533,0.000037678146,0.00085913046,0.0022833226],"genre_scores_gemma":[0.9772076,0.00023496486,0.020676322,0.000035459165,0.000021294145,0.00008318943,0.00007025464,0.000013021717,0.0016578917],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967575,0.000038978134,0.000028313767,0.00010900311,0.000116592026,0.000031391097],"domain_scores_gemma":[0.9996044,0.000094345036,0.000083879975,0.000051615534,0.00015120558,0.000014565357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031315812,0.0005999966,0.0006763783,0.00024885,0.0002739376,0.0009063515,0.00070479745,0.0005598795,0.0006319252],"category_scores_gemma":[0.0010151535,0.00022247659,0.0004075061,0.0002295901,0.00039711883,0.00086537475,0.0005952204,0.00067210523,0.00021956785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047579396,0.00015851377,0.0053051985,0.0005772003,0.00012257315,0.0003615046,0.00049149507,0.6724198,0.08311431,0.0056663547,0.0016752015,0.22963205],"study_design_scores_gemma":[0.000009722192,0.000083990846,0.00079351396,0.000009497801,0.00001539471,0.000024024752,0.000014051573,0.99039066,0.0074532577,0.000522409,0.0006704935,0.00001292646],"about_ca_topic_score_codex":0.0043068943,"about_ca_topic_score_gemma":0.002611547,"teacher_disagreement_score":0.0043068943,"about_ca_system_score_codex":0.0005485537,"about_ca_system_score_gemma":0.00048632466,"threshold_uncertainty_score":0.008563638},"labels":[],"label_agreement":null},{"id":"W4290805306","doi":"10.1016/j.firesaf.2022.103648","title":"Effect of the heating rate on the degassing and combustion of cylindrical Li-Ion cells","year":2022,"lang":"en","type":"article","venue":"Fire Safety Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Safran","keywords":"Outgassing; Combustion; Particulates; Analytical Chemistry (journal); Thermal runaway; Mass spectrometry; Materials science; Chemistry; Environmental chemistry; Thermodynamics; Chromatography","score_opus":0.009428811600020542,"score_gpt":0.2426365144316974,"score_spread":0.23320770283167686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290805306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983724,0.00045892788,0.00030830607,0.000034680434,0.000023705188,0.0000060470393,0.00008455735,0.00003697329,0.00067450147],"genre_scores_gemma":[0.99921525,0.00015519584,0.00017811982,0.00001261303,0.0000060816756,0.000002859365,0.000049162616,0.00002086906,0.0003598996],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979264,0.000032731245,0.000019526293,0.000036110418,0.00004562748,0.00007339892],"domain_scores_gemma":[0.9988148,0.00063789974,0.00018322529,0.00011700077,0.00017138156,0.00007566229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004910944,0.0003070842,0.0004461286,0.00023091852,0.0002804074,0.00062821165,0.00034162088,0.00032718075,0.002496057],"category_scores_gemma":[0.0016803538,0.0002563831,0.00031042224,0.00029288183,0.00045347848,0.00058509334,0.00023586668,0.00043089766,0.00034387124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006076759,0.000108551096,0.003023012,0.00019398794,0.00004258969,0.00024360353,0.00029501395,0.006276878,0.974307,0.0002484314,0.000224868,0.008959175],"study_design_scores_gemma":[0.000024902496,0.00076447375,0.0059826556,0.000008005997,0.000027636488,0.00005929334,0.00010114851,0.0041286224,0.988223,0.000028851831,0.00063008966,0.00002132564],"about_ca_topic_score_codex":0.0014549604,"about_ca_topic_score_gemma":0.001527525,"teacher_disagreement_score":0.002496057,"about_ca_system_score_codex":0.00038389003,"about_ca_system_score_gemma":0.00031846072,"threshold_uncertainty_score":0.0083501935},"labels":[],"label_agreement":null},{"id":"W4291000815","doi":"10.1016/j.jclepro.2022.133568","title":"Energy efficiency and CO2 emission comparison of alternative powertrain solutions for mining haul truck using integrated design and control optimization","year":2022,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Powertrain; Automotive engineering; Truck; Battery (electricity); Diesel fuel; Tonnage; Engineering; Environmental science; Power (physics); Torque","score_opus":0.04176821801383517,"score_gpt":0.2998316274474192,"score_spread":0.258063409433584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291000815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9549649,0.00045846784,0.030798981,0.00008609781,0.00002570885,0.00008408459,0.0002068756,0.00017590185,0.013199009],"genre_scores_gemma":[0.9942721,0.00007181922,0.0041578086,0.000008503456,0.0000018686653,0.000038776758,0.0000951343,0.000016248234,0.0013376615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984574,0.000033765984,0.0000076477645,0.000022302973,0.00005606272,0.000034484146],"domain_scores_gemma":[0.9998054,0.00009311365,0.000018630011,0.00001181726,0.00006356482,0.0000075827625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045517634,0.00061468984,0.0006186191,0.0006674061,0.00037585615,0.00078836054,0.00040039612,0.00048245568,0.0018877768],"category_scores_gemma":[0.00044075225,0.00030264255,0.00079448236,0.00060340104,0.00018571755,0.0004534938,0.0002169733,0.00033281554,0.00015734546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005961559,0.00029563587,0.0022168295,0.00016948889,0.00009878104,0.000047749538,0.000029231382,0.9482828,0.011589155,0.00074532453,0.0003338203,0.03559508],"study_design_scores_gemma":[0.00006244792,0.0008055496,0.004430333,0.00001161076,0.00010729625,0.0000157457,0.000080081634,0.9837425,0.009839291,0.0002977957,0.0005923256,0.000014977799],"about_ca_topic_score_codex":0.009118206,"about_ca_topic_score_gemma":0.012244325,"teacher_disagreement_score":0.009118206,"about_ca_system_score_codex":0.0007999063,"about_ca_system_score_gemma":0.00054576306,"threshold_uncertainty_score":0.018130243},"labels":[],"label_agreement":null},{"id":"W4292263274","doi":"10.1109/tte.2022.3199115","title":"Developing an Online Data-Driven State of Health Estimation of Lithium-Ion Batteries Under Random Sensor Measurement Unavailability","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Unavailability; Computer science; Estimator; Imputation (statistics); Missing data; Artificial neural network; Dropout (neural networks); Data mining; Artificial intelligence; Reliability engineering; Machine learning; Engineering; Statistics; Mathematics","score_opus":0.09618046907342637,"score_gpt":0.3184316501189072,"score_spread":0.2222511810454808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292263274","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09778341,0.00053230755,0.8985442,0.00023868168,0.00004899707,0.000049850936,0.00022082406,0.0011974534,0.0013842848],"genre_scores_gemma":[0.963044,0.00028831518,0.034279145,0.000090514295,0.00002668386,0.00009478944,0.0004972996,0.00003727357,0.0016420482],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999785,0.000032707096,0.00001793661,0.00007710119,0.000062941785,0.000024349789],"domain_scores_gemma":[0.99963963,0.00012267478,0.00005605544,0.00004037383,0.00012883157,0.000012436342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005063337,0.0006059937,0.00055300654,0.00023182917,0.00015240083,0.00051700947,0.00086522964,0.0005341506,0.0005829983],"category_scores_gemma":[0.0018377291,0.00031998483,0.00043365796,0.00022480378,0.00026171107,0.00079245825,0.0005639021,0.0007195937,0.0002203894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017249667,0.00006904846,0.006272346,0.00018614178,0.00008205575,0.00016496125,0.0001349972,0.8497515,0.012705033,0.002153734,0.0011186523,0.12718908],"study_design_scores_gemma":[0.0000022207203,0.00001697705,0.00048876356,0.0000030502335,0.000005176469,0.00001027023,0.000005653679,0.99743634,0.0014840489,0.00038997462,0.00015341518,0.000004068435],"about_ca_topic_score_codex":0.008937815,"about_ca_topic_score_gemma":0.0077605317,"teacher_disagreement_score":0.008937815,"about_ca_system_score_codex":0.00038248385,"about_ca_system_score_gemma":0.00067184074,"threshold_uncertainty_score":0.017771542},"labels":[],"label_agreement":null},{"id":"W4292387189","doi":"10.1109/tte.2022.3200225","title":"Application of Deep Neural Networks for Lithium-Ion Battery Surface Temperature Estimation Under Driving and Fast Charge Conditions","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Mean squared error; Artificial neural network; Microprocessor; Computer science; Feedforward neural network; Lithium-ion battery; Feed forward; Control theory (sociology); Simulation; Artificial intelligence; Engineering; Power (physics); Computer hardware; Control (management); Control engineering; Mathematics; Physics; Statistics","score_opus":0.008269076468397136,"score_gpt":0.24492214583906363,"score_spread":0.2366530693706665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292387189","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43321458,0.0019476728,0.5545029,0.0006079481,0.00019649327,0.000058430982,0.0005442745,0.003466783,0.00546087],"genre_scores_gemma":[0.97094065,0.0002902106,0.026541935,0.00007306014,0.000017313696,0.00002924774,0.0003041819,0.00003715361,0.0017661646],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988604,0.0000163183,0.00000847689,0.000034404067,0.00003571294,0.000019034207],"domain_scores_gemma":[0.99979645,0.00006871505,0.000028843024,0.000017726934,0.00007995052,0.000008287199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000274903,0.0007493125,0.0002813661,0.00030102473,0.00020645476,0.00045920172,0.0005574543,0.00053046254,0.00064599083],"category_scores_gemma":[0.00095750834,0.0002646642,0.00031804654,0.000337325,0.00016544235,0.00061057776,0.00037065754,0.00058982207,0.00018991306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017773274,0.00012276154,0.0035010409,0.00012033674,0.00006967274,0.00014978678,0.00008990391,0.78414404,0.031481914,0.0006997718,0.0013486198,0.17809442],"study_design_scores_gemma":[0.0000018075547,0.00001667226,0.0004787886,0.000003341012,0.000004824565,0.000007877017,0.000007501343,0.99517655,0.0038662525,0.0002719311,0.00016025292,0.0000042920683],"about_ca_topic_score_codex":0.012110217,"about_ca_topic_score_gemma":0.013490791,"teacher_disagreement_score":0.012110217,"about_ca_system_score_codex":0.00060968805,"about_ca_system_score_gemma":0.0004908085,"threshold_uncertainty_score":0.024079442},"labels":[],"label_agreement":null},{"id":"W4292387828","doi":"10.1109/eeeic/icpseurope54979.2022.9854614","title":"Globally Optimal Energy Management in a Battery-Ultracapacitor Electric Vehicle","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&amp;CPS Europe)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; York University","funders":"","keywords":"Battery pack; Battery (electricity); Automotive engineering; Supercapacitor; Electric vehicle; Depth of discharge; Voltage; Driving cycle; Internal resistance; State of charge; Energy storage; Driving range; Range (aeronautics); Energy management; Automotive battery; Battery electric vehicle; Computer science; Power (physics); Electrical engineering; Engineering; Energy (signal processing); Capacitance; Electrode","score_opus":0.03677819482234191,"score_gpt":0.2362498984371294,"score_spread":0.1994717036147875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292387828","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28114104,0.001049741,0.6995199,0.00048022412,0.000078734665,0.00011042027,0.00020812267,0.0006308852,0.016781023],"genre_scores_gemma":[0.9892041,0.0001083786,0.008653586,0.000036145415,0.000006787915,0.000043523996,0.000043107688,0.00001729242,0.0018871134],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997651,0.000056606597,0.000009283782,0.0000701643,0.000040574654,0.00005828358],"domain_scores_gemma":[0.9997527,0.00011186173,0.000043345157,0.000014589234,0.000056933764,0.000020510606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050908007,0.00077670364,0.0009338169,0.00035963874,0.00043584988,0.0012423185,0.0007714538,0.0006970058,0.00098999],"category_scores_gemma":[0.00066469685,0.00060235726,0.00044752183,0.00037443617,0.0006008848,0.0006725012,0.0007899495,0.000566496,0.00014936994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028592216,0.000014121598,0.00024028901,0.000017234672,0.000015032507,0.00005293804,0.000015903208,0.99331397,0.0005660687,0.0010555931,0.00013909234,0.004541212],"study_design_scores_gemma":[0.000006057722,0.000023745297,0.00010752879,0.0000022681043,0.0000061399573,0.000007629758,0.000013116376,0.99857306,0.00019889962,0.0009158733,0.00014262133,0.0000031113148],"about_ca_topic_score_codex":0.014010442,"about_ca_topic_score_gemma":0.008787204,"teacher_disagreement_score":0.014010442,"about_ca_system_score_codex":0.00081034255,"about_ca_system_score_gemma":0.0008603796,"threshold_uncertainty_score":0.02785778},"labels":[],"label_agreement":null},{"id":"W4292969125","doi":"10.1109/tie.2022.3199905","title":"Coestimation of SOC and Three-Dimensional SOT for Lithium-Ion Batteries Based on Distributed Spatial–Temporal Online Correction","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":107,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; Guangdong Science and Technology Department; National Natural Science Foundation of China","keywords":"State of charge; Kalman filter; Computer science; Robustness (evolution); Convergence (economics); Battery (electricity); Algorithm; Control theory (sociology); Artificial intelligence","score_opus":0.030117726437938537,"score_gpt":0.26523158964228283,"score_spread":0.2351138632043443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292969125","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055341236,0.00016706088,0.94197696,0.00010164684,0.00007445327,0.00002879878,0.000027614604,0.0004960378,0.0017862006],"genre_scores_gemma":[0.91185844,0.00011989764,0.08616567,0.00005076998,0.00002548003,0.000039578714,0.00007081946,0.00006090539,0.0016085373],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997589,0.000025358842,0.000015865178,0.00006233526,0.00012022278,0.000017321387],"domain_scores_gemma":[0.9995421,0.000097045,0.000067446694,0.00008367581,0.00019384315,0.00001584482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027516866,0.0004075863,0.00023133676,0.00033143882,0.00027581662,0.00043432775,0.0005660626,0.00031451593,0.00065016554],"category_scores_gemma":[0.0019703177,0.00014874867,0.00033237223,0.00029665686,0.0003341607,0.0007197877,0.0005456762,0.0004907018,0.0001461137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027573967,0.00009026032,0.007886047,0.00015192745,0.000058356298,0.00015288776,0.00030267405,0.45834023,0.07520612,0.010019711,0.0014729793,0.44604307],"study_design_scores_gemma":[0.0000058792616,0.000032940774,0.0010091163,0.000004140599,0.0000077801815,0.000053973654,0.000016173746,0.9836767,0.0133792125,0.0008397967,0.0009613544,0.000012817789],"about_ca_topic_score_codex":0.005067318,"about_ca_topic_score_gemma":0.006252777,"teacher_disagreement_score":0.005067318,"about_ca_system_score_codex":0.0004347233,"about_ca_system_score_gemma":0.0004911478,"threshold_uncertainty_score":0.010075629},"labels":[],"label_agreement":null},{"id":"W4293081979","doi":"10.1016/j.heliyon.2022.e10163","title":"Development and performance analysis of top lit updraft: natural draft gasifier stoves with various feed stocks","year":2022,"lang":"en","type":"article","venue":"Heliyon","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department of Mechanical Engineering, University of Alberta; Mekelle University","keywords":"Stove; Wood gas generator; Environmental science; Hull; Waste management; Engineering; Biofuel; Pulp and paper industry; Coal; Marine engineering","score_opus":0.008863160089428302,"score_gpt":0.22787880382079911,"score_spread":0.2190156437313708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293081979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99890757,0.00006950711,0.00071409217,0.0000016318187,0.0000017887223,0.000008671496,0.00007187165,0.00001358968,0.0002113957],"genre_scores_gemma":[0.9925412,0.00018976437,0.0054574665,0.0000047910053,0.0000015100863,0.000016590473,0.0003390549,0.000015880245,0.0014336542],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998216,0.000023102479,0.000019354015,0.000041002935,0.00007099633,0.000023939872],"domain_scores_gemma":[0.99978226,0.000033602264,0.000040567335,0.000017036693,0.000097866585,0.000028755578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000385051,0.00035406437,0.00034121925,0.00036032457,0.00015905045,0.0004011067,0.00046160258,0.00016438706,0.0006972243],"category_scores_gemma":[0.00036518177,0.00012576947,0.00025852598,0.00031746793,0.0001099189,0.0002506583,0.00019377365,0.000109724024,0.00017632383],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001110571,0.00040635566,0.025728146,0.00033015377,0.000063392,0.00015452923,0.00015134971,0.0054704966,0.9257155,0.00013035993,0.00009612871,0.040643],"study_design_scores_gemma":[0.000032963228,0.003646286,0.072057664,0.000015285385,0.000104000996,0.00015627383,0.000192579,0.008298611,0.91340137,0.000021292748,0.0020529805,0.000020674892],"about_ca_topic_score_codex":0.0016936742,"about_ca_topic_score_gemma":0.0042352257,"teacher_disagreement_score":0.0016936742,"about_ca_system_score_codex":0.00023589413,"about_ca_system_score_gemma":0.00023706997,"threshold_uncertainty_score":0.0033676028},"labels":[],"label_agreement":null},{"id":"W4293115958","doi":"10.11159/icmie22.126","title":"Numerical Analysis of Gas Diffusion Characteristics during Thermal Runaway in ESS Battery Module","year":2022,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Thermal runaway; Diffusion; Battery (electricity); Nuclear engineering; Thermal; Plasma; Electrical engineering; Materials science; Mechanics; Computer science; Physics; Engineering; Thermodynamics; Power (physics); Nuclear physics","score_opus":0.005331001901179963,"score_gpt":0.20241417547377727,"score_spread":0.1970831735725973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293115958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9602354,0.00064895145,0.025110207,0.0005408759,0.00008548812,0.000059371116,0.00041565343,0.00020448108,0.012699498],"genre_scores_gemma":[0.9949292,0.00010232137,0.0032976584,0.00002878984,0.000004666143,0.000026066095,0.00007034752,0.000013951324,0.0015270702],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989784,0.000017106982,0.000006045546,0.000018893963,0.000028951836,0.00003104926],"domain_scores_gemma":[0.9992799,0.00044763304,0.000086185115,0.000025779651,0.0001275844,0.00003296601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003304185,0.0003583924,0.00046725833,0.00048238254,0.0005364093,0.0006463721,0.0004909886,0.0013889015,0.0016388382],"category_scores_gemma":[0.0013284114,0.00022938922,0.0005839596,0.00040916767,0.00067211775,0.0005343902,0.000376281,0.00049280154,0.000121202895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001592212,0.00005268922,0.005750034,0.00011127491,0.000018264143,0.00042202603,0.00016169634,0.9750084,0.012575631,0.0017739083,0.00033688702,0.0036299198],"study_design_scores_gemma":[0.00000800934,0.000021135857,0.0006725371,0.000006899545,0.0000039134516,0.000021471584,0.000050445164,0.9975817,0.0013110267,0.0001557669,0.00015961265,0.000007455337],"about_ca_topic_score_codex":0.012550675,"about_ca_topic_score_gemma":0.006082493,"teacher_disagreement_score":0.012550675,"about_ca_system_score_codex":0.00074978324,"about_ca_system_score_gemma":0.0005139509,"threshold_uncertainty_score":0.024955273},"labels":[],"label_agreement":null},{"id":"W4293115972","doi":"10.11159/htff22.143","title":"The Effect of Outlet Manifold Location of Liquid-Cooled Battery Thermal Management Systems on Pumping Power","year":2022,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Battery (electricity); Thermal management of electronic devices and systems; Power (physics); Manifold (fluid mechanics); Thermal; Automotive engineering; Electrical engineering; Computer cooling; Computer science; Environmental science; Materials science; Mechanical engineering; Engineering; Physics; Thermodynamics","score_opus":0.004514000012229008,"score_gpt":0.20304829922378773,"score_spread":0.1985342992115587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293115972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99396604,0.0002262026,0.004360849,0.00002751838,0.000020542613,0.000009001241,0.00007693778,0.00011542549,0.0011975998],"genre_scores_gemma":[0.99828124,0.00007107758,0.0013227314,0.0000068024638,0.000002525698,0.0000064054548,0.00004423597,0.000017489185,0.0002475574],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99986994,0.00002021838,0.000011962942,0.000033401302,0.000027244583,0.00003717219],"domain_scores_gemma":[0.99971586,0.00011520821,0.00004492324,0.000029451829,0.0000661445,0.000028411523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019617553,0.00038123396,0.00036408973,0.00022818011,0.00023469079,0.0005759098,0.000377456,0.00029261666,0.0014820894],"category_scores_gemma":[0.00082206784,0.00020310952,0.0002617969,0.00020108199,0.00026359168,0.0006757846,0.00029517937,0.00029667918,0.00027645004],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029977632,0.00019169388,0.014940419,0.0006092594,0.0000773384,0.00044332093,0.00022646028,0.10289054,0.8153326,0.0010534982,0.00070489146,0.06053216],"study_design_scores_gemma":[0.00008243922,0.0019713738,0.016133603,0.00003278943,0.00014281723,0.00016225422,0.00027855363,0.15583496,0.8215967,0.000276044,0.0034398653,0.00004861396],"about_ca_topic_score_codex":0.0006262016,"about_ca_topic_score_gemma":0.0008694557,"teacher_disagreement_score":0.0014820894,"about_ca_system_score_codex":0.00025799117,"about_ca_system_score_gemma":0.00020036392,"threshold_uncertainty_score":0.004958093},"labels":[],"label_agreement":null},{"id":"W4293145964","doi":"10.1109/tpel.2022.3176240","title":"Auxiliary Power Module Elimination in EVs Using Dual Inverter Drivetrain","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Drivetrain; Automotive engineering; Auxiliary power unit; Inverter; Power (physics); Traction (geology); Dual (grammatical number); Engineering; Computer science; Electrical engineering; Torque; Voltage","score_opus":0.013390218251100644,"score_gpt":0.2530282199404304,"score_spread":0.23963800168932975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293145964","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24131534,0.0010100293,0.72236717,0.0002226206,0.0001728821,0.00014585078,0.0002058309,0.001260515,0.03329973],"genre_scores_gemma":[0.97690547,0.00018080299,0.017931137,0.000026475649,0.000018778039,0.000032629865,0.000079993464,0.000031696756,0.004793143],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998882,0.000014347964,0.000006501256,0.000021218126,0.000051317296,0.000018335197],"domain_scores_gemma":[0.99995804,0.0000067260203,0.000006098962,0.000007467667,0.000016534375,0.000005115774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010130174,0.00032597303,0.00038758398,0.0002659208,0.00021117723,0.0005010181,0.0009847578,0.0003273358,0.0020016027],"category_scores_gemma":[0.00014136659,0.00013366909,0.0002837743,0.00027156624,0.00021119777,0.0006414054,0.00055198494,0.00032678826,0.00058761437],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006872427,0.00042521386,0.0047973683,0.0010093137,0.00012344378,0.0014000351,0.00036963832,0.17867641,0.2748139,0.031873032,0.0056334687,0.50019085],"study_design_scores_gemma":[0.00007986931,0.0010236686,0.0025585506,0.00006800344,0.00007905641,0.0008231733,0.00014768893,0.8578515,0.09193343,0.009498864,0.03589952,0.000036676603],"about_ca_topic_score_codex":0.0006465008,"about_ca_topic_score_gemma":0.0009816146,"teacher_disagreement_score":0.0020016027,"about_ca_system_score_codex":0.00018532627,"about_ca_system_score_gemma":0.00018662358,"threshold_uncertainty_score":0.0066960454},"labels":[],"label_agreement":null},{"id":"W4293318460","doi":"10.5772/intechopen.105529","title":"Investigations of Using an Intelligent ANFIS Modeling Approach for a Li-Ion Battery in MATLAB Implementation: Case Study","year":2022,"lang":"en","type":"book-chapter","venue":"IntechOpen eBooks","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"John Abbott College; Concordia University","funders":"","keywords":"Adaptive neuro fuzzy inference system; Control theory (sociology); MATLAB; State of charge; Computer science; Nonlinear system; Battery (electricity); Control engineering; Autoregressive model; Engineering; Fuzzy logic; Fuzzy control system; Artificial intelligence; Mathematics","score_opus":0.16721229999943646,"score_gpt":0.36929260935714364,"score_spread":0.20208030935770718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293318460","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3141734,0.0019057881,0.6121171,0.0007303016,0.0001271726,0.00031242863,0.0003492582,0.0027166477,0.06756792],"genre_scores_gemma":[0.8738154,0.0008311863,0.106651254,0.000054002187,0.000014824848,0.00012909989,0.00016944698,0.00008146982,0.018253371],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998561,0.000054264,0.000010052133,0.000014904197,0.00005593449,0.0000087528715],"domain_scores_gemma":[0.99969137,0.00018226515,0.000015971536,0.00003269087,0.00007077901,0.000006925368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036818683,0.0004306468,0.00025394495,0.00024240519,0.00020982807,0.00071287353,0.0006629571,0.00077515794,0.0028009778],"category_scores_gemma":[0.0008309959,0.00011860133,0.00026311437,0.00025689643,0.00017137665,0.0005112394,0.00022902974,0.00041072027,0.00048688825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002737291,0.00019435583,0.0027748342,0.00090338395,0.00006857306,0.0019400213,0.0006506958,0.76708674,0.029146051,0.019047078,0.003164581,0.17475003],"study_design_scores_gemma":[0.000015291746,0.0001423787,0.00060130033,0.000041430892,0.000020520147,0.00024252394,0.00011485785,0.9786648,0.011823156,0.0016333368,0.006688396,0.000011982864],"about_ca_topic_score_codex":0.0032465886,"about_ca_topic_score_gemma":0.0035457083,"teacher_disagreement_score":0.0032465886,"about_ca_system_score_codex":0.00030498262,"about_ca_system_score_gemma":0.0002209794,"threshold_uncertainty_score":0.009370208},"labels":[],"label_agreement":null},{"id":"W4293711784","doi":"10.1155/2022/5077091","title":"Robust Tracking Control of a Three-Phase Bidirectional Charger for Electric Vehicle","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Korea Institute of Energy Technology Evaluation and Planning; Ministry of Trade, Industry and Energy","keywords":"Electric vehicle; Control theory (sociology); Controller (irrigation); Grid; Battery (electricity); Three-phase; Voltage; Computer science; Power (physics); Engineering; Electrical engineering; Control (management); Mathematics; Physics","score_opus":0.022852531933090295,"score_gpt":0.2746803903660615,"score_spread":0.25182785843297123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293711784","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0713712,0.0003294471,0.9160042,0.00020717847,0.00009153892,0.00007999516,0.000052229876,0.0009489017,0.010915311],"genre_scores_gemma":[0.98853976,0.0001082516,0.008786897,0.000027748014,0.000013350006,0.000046381432,0.000025350633,0.000016769924,0.0024355266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977034,0.00003951572,0.000013067739,0.00005709648,0.00008522747,0.000034738467],"domain_scores_gemma":[0.9997311,0.000060320675,0.00008523925,0.000018318231,0.00009180436,0.000013286872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056215934,0.00063622516,0.00042866913,0.00025632564,0.00033292756,0.000814636,0.0005879396,0.00045561118,0.0014935012],"category_scores_gemma":[0.0006144037,0.0002012197,0.00033252977,0.00019961337,0.00037225336,0.00025970562,0.0005531478,0.0004351427,0.0004152936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004796222,0.00014093914,0.0009978374,0.00043271945,0.00009513347,0.00039046444,0.00030202937,0.7447187,0.08689962,0.01253494,0.0018336906,0.15117426],"study_design_scores_gemma":[0.000041963252,0.00034781793,0.00037961415,0.000011369385,0.000022059707,0.000043802484,0.000022740105,0.99070895,0.005920093,0.0008433554,0.0016447456,0.000013487207],"about_ca_topic_score_codex":0.0044220085,"about_ca_topic_score_gemma":0.0029522171,"teacher_disagreement_score":0.0044220085,"about_ca_system_score_codex":0.000397849,"about_ca_system_score_gemma":0.0005113493,"threshold_uncertainty_score":0.00879252},"labels":[],"label_agreement":null},{"id":"W4293731912","doi":"10.1109/tte.2022.3202792","title":"Economic Payback Time of Battery Pack Replacement for Hybrid and Plug-In Hybrid Electric Vehicles","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Battery pack; Automotive engineering; Electric vehicle; Payback period; Electricity; Driving range; Residual; Range (aeronautics); Automotive battery; Engineering; Power (physics); Computer science; Electrical engineering; Production (economics)","score_opus":0.009906425818764523,"score_gpt":0.2322774592753828,"score_spread":0.22237103345661827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293731912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93213713,0.0012784357,0.058976848,0.0001611627,0.00007941785,0.0000879166,0.00025273958,0.000098160584,0.0069281473],"genre_scores_gemma":[0.9977851,0.00010529105,0.0013897751,0.000006185761,0.00000412861,0.000013546166,0.000055553206,0.0000062868044,0.0006340426],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942845,0.00017623125,0.000024665496,0.000067569126,0.00019510686,0.00010794972],"domain_scores_gemma":[0.9982009,0.001283053,0.00020015496,0.00007364659,0.00017720879,0.00006507171],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018521468,0.0005468154,0.0006275887,0.00060010556,0.00031565412,0.001000278,0.0007369175,0.00056927954,0.0021373944],"category_scores_gemma":[0.004376174,0.00030841274,0.00046878253,0.00042659708,0.00043442173,0.001548447,0.0004555959,0.00047413312,0.00014010741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014644713,0.00016437213,0.011748693,0.00013489265,0.000055921282,0.00039473752,0.00004590703,0.9246137,0.00925871,0.007953363,0.00035644375,0.043808725],"study_design_scores_gemma":[0.00002323339,0.0009080142,0.010873115,0.000025915953,0.00011422524,0.0002111165,0.00016418783,0.97310376,0.010660039,0.0028768138,0.0010007016,0.00003884391],"about_ca_topic_score_codex":0.0023983628,"about_ca_topic_score_gemma":0.002562913,"teacher_disagreement_score":0.0023983628,"about_ca_system_score_codex":0.0017426934,"about_ca_system_score_gemma":0.0007742237,"threshold_uncertainty_score":0.012644172},"labels":[],"label_agreement":null},{"id":"W4295066762","doi":"10.1016/j.rico.2022.100168","title":"Distance to empty soft sensor for ford escape electric vehicle","year":2022,"lang":"en","type":"article","venue":"Results in Control and Optimization","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Transport Canada","keywords":"Conjugate gradient method; Soft sensor; Computation; Computer science; Artificial neural network; Regularization (linguistics); Linear regression; Artificial intelligence; Bayesian probability; Pattern recognition (psychology); Algorithm; Machine learning","score_opus":0.008249070873611396,"score_gpt":0.23995557882473786,"score_spread":0.23170650795112646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295066762","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6574171,0.0006126576,0.33231038,0.00033968987,0.00024239781,0.000073108466,0.00046243396,0.0013292853,0.007213046],"genre_scores_gemma":[0.99248636,0.000056008503,0.0055297995,0.000026740643,0.0000046852206,0.000014576426,0.00011191988,0.0000048182274,0.0017650905],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998927,0.000012372218,0.0000072150137,0.00002698581,0.000048495403,0.000012098002],"domain_scores_gemma":[0.99985147,0.000036007037,0.0000206596,0.000009634177,0.00007350228,0.000008716155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014593088,0.00046001116,0.00024095557,0.00025655914,0.00018026022,0.00030010293,0.00036532036,0.00028964924,0.0008018708],"category_scores_gemma":[0.0004659376,0.00012786874,0.00018072507,0.00013930387,0.000118702024,0.00041074125,0.00024737953,0.00028522764,0.00022434129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005879741,0.00027918382,0.033059932,0.00027745063,0.000076715725,0.0003966523,0.00016669468,0.5472487,0.06535368,0.0015122849,0.004432359,0.3466084],"study_design_scores_gemma":[0.0000057031625,0.00012598035,0.004507582,0.00001153195,0.000011847413,0.0000446944,0.000038929687,0.9777428,0.016173547,0.00038045223,0.0009437955,0.000013194855],"about_ca_topic_score_codex":0.0051262863,"about_ca_topic_score_gemma":0.010077364,"teacher_disagreement_score":0.0051262863,"about_ca_system_score_codex":0.00039970054,"about_ca_system_score_gemma":0.00029412255,"threshold_uncertainty_score":0.010192931},"labels":[],"label_agreement":null},{"id":"W4295168580","doi":"10.14447/jnmes.v25i3.a02","title":"A Single-Input Dual-Output DC-DC Converter for Powertrain of PEM Fuel Cell Vehicle","year":2022,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Inductor; Converters; Duty cycle; Dual (grammatical number); Powertrain; Voltage; Buck–boost converter; Boost converter; Buck converter; Computer science; Ćuk converter; Forward converter; Control theory (sociology); Electrical engineering; Engineering; Physics","score_opus":0.01944567040421078,"score_gpt":0.25150762831619505,"score_spread":0.23206195791198428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295168580","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11725575,0.0021676403,0.8317503,0.00043931341,0.00063356315,0.000318607,0.00042463673,0.001890956,0.04511925],"genre_scores_gemma":[0.9226854,0.0008515782,0.06323128,0.00017033528,0.00006188734,0.000112364105,0.0002565859,0.000051229254,0.0125792585],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998932,0.000008547478,0.0000062953663,0.000024701973,0.00005776361,0.000009380238],"domain_scores_gemma":[0.99995065,0.000005664975,0.000004036885,0.000006503721,0.00002753052,0.000005585393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011042054,0.0002914634,0.00031272433,0.00029696614,0.00032642175,0.0005605339,0.0008998043,0.00034961937,0.0029062666],"category_scores_gemma":[0.00013435261,0.00013869921,0.00017018028,0.0003113339,0.00013415175,0.00064306386,0.00027243161,0.0005833477,0.00084452087],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003417748,0.00024835093,0.0018061016,0.0010320577,0.00006592221,0.00085435313,0.00016412756,0.0084850965,0.5529603,0.014253943,0.0057348735,0.4140531],"study_design_scores_gemma":[0.00013813312,0.0011068739,0.0041814656,0.00014041229,0.00011987716,0.004252599,0.00020537718,0.2565549,0.6260492,0.0055568777,0.10161415,0.00008017154],"about_ca_topic_score_codex":0.0002310198,"about_ca_topic_score_gemma":0.0005672892,"teacher_disagreement_score":0.0029062666,"about_ca_system_score_codex":0.00017828235,"about_ca_system_score_gemma":0.00021230437,"threshold_uncertainty_score":0.009722412},"labels":[],"label_agreement":null},{"id":"W4295296313","doi":"10.1002/er.8700","title":"Enhanced optimization algorithm for the structural design of an air‐cooled battery pack considering battery lifespan and consistency","year":2022,"lang":"en","type":"article","venue":"International Journal of Energy Research","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Chongqing Municipal Education Commission; Fundamental Research Funds for the Central Universities; Guangdong Science and Technology Department; National Natural Science Foundation of China","keywords":"Battery pack; Battery (electricity); Automotive engineering; Duct (anatomy); Thermal; State of charge; Engineering; Meteorology; Medicine; Thermodynamics","score_opus":0.04723560297247916,"score_gpt":0.3352373418392676,"score_spread":0.2880017388667885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295296313","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04118597,0.00027564538,0.95211107,0.00010256926,0.00004249592,0.00006535031,0.00005211458,0.00035262827,0.0058122],"genre_scores_gemma":[0.6830668,0.00025871195,0.31024712,0.00010685628,0.000024732783,0.00040614905,0.0002168224,0.000151969,0.005520728],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998222,0.000046265235,0.000008514264,0.000038430873,0.000057392997,0.000027174388],"domain_scores_gemma":[0.9997528,0.000121190395,0.000026588352,0.0000126770165,0.00007564975,0.000011006632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044352043,0.0008747064,0.0008363274,0.00050125574,0.00036052713,0.0005818703,0.0006017149,0.00082470535,0.0025192904],"category_scores_gemma":[0.00081070163,0.00048733517,0.00068486936,0.00038926973,0.00031901925,0.0005499405,0.00048378014,0.0005726121,0.0003407919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000204651,0.000015946538,0.0002391788,0.000025380703,0.00001076029,0.000021182417,0.000015452953,0.9849939,0.001326854,0.00074710243,0.00020572699,0.012377988],"study_design_scores_gemma":[0.0000056391673,0.000018199029,0.00005389017,0.0000021973804,0.0000036464244,0.000003874191,0.0000044932317,0.9992568,0.00021590634,0.00020062365,0.00023328126,0.0000014347692],"about_ca_topic_score_codex":0.005414655,"about_ca_topic_score_gemma":0.0049997577,"teacher_disagreement_score":0.005414655,"about_ca_system_score_codex":0.00045101307,"about_ca_system_score_gemma":0.0010976613,"threshold_uncertainty_score":0.010766268},"labels":[],"label_agreement":null},{"id":"W4295935145","doi":"10.1109/ojcsys.2022.3206710","title":"Real Time Li-Ion Battery Bank Parameters Estimation via Universal Adaptive Stabilization","year":2022,"lang":"en","type":"article","venue":"IEEE Open Journal of Control Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"American University of Sharjah","keywords":"Estimation; Battery (electricity); Ion; Computer science; Control theory (sociology); Chemistry; Economics; Artificial intelligence; Thermodynamics; Physics; Control (management)","score_opus":0.01681519894156415,"score_gpt":0.25081790618713223,"score_spread":0.2340027072455681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295935145","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.088122584,0.00028066148,0.9065903,0.00009349411,0.000031191394,0.00004726651,0.000026066404,0.0017454845,0.0030630818],"genre_scores_gemma":[0.969385,0.00011070627,0.028855536,0.000023214303,0.000010151158,0.000037662354,0.000026099648,0.000027606053,0.0015240539],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998597,0.000022019785,0.000009561781,0.000031781758,0.00006615181,0.000010776558],"domain_scores_gemma":[0.99984455,0.00003982974,0.000037587317,0.00002619662,0.000046603935,0.000005243223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017432313,0.0003369263,0.0003094026,0.00022550169,0.00018817832,0.00032685182,0.0005165339,0.00018834184,0.00078457285],"category_scores_gemma":[0.0005448454,0.0001263703,0.00012218053,0.00015202709,0.00025965512,0.00058839057,0.00043397635,0.00023858515,0.0002792184],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003815024,0.00007602309,0.0034454386,0.00028423918,0.000051246534,0.00019871518,0.00039589923,0.15370168,0.3234334,0.0037287516,0.0015586352,0.51274455],"study_design_scores_gemma":[0.000017803017,0.00029244987,0.0016967617,0.000026884469,0.00002353295,0.00015850474,0.00006444214,0.8794399,0.11354363,0.0010279686,0.0036777407,0.000030402307],"about_ca_topic_score_codex":0.0010741041,"about_ca_topic_score_gemma":0.0011712584,"teacher_disagreement_score":0.0010741041,"about_ca_system_score_codex":0.00021863988,"about_ca_system_score_gemma":0.00022390598,"threshold_uncertainty_score":0.0026246905},"labels":[],"label_agreement":null},{"id":"W4296053297","doi":"10.1049/pbpo196e_ch3","title":"Microgrids in mission-critical applications","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Converters; Engineering; Electric power system; Grid; Electronics; Power (physics); Electrical engineering; Systems engineering; Reliability engineering; Voltage","score_opus":0.02226900785047385,"score_gpt":0.2950141340279454,"score_spread":0.27274512617747154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296053297","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034938087,0.11062219,0.03553409,0.0022959241,0.0026818917,0.000107573054,0.00026408906,0.0007615806,0.8442389],"genre_scores_gemma":[0.030800402,0.10717057,0.019019403,0.0010668918,0.0009784673,0.00007045899,0.00037248177,0.0003088025,0.8402125],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9999151,0.000011817206,0.0000033843432,0.000013899208,0.000046346162,0.0000094087745],"domain_scores_gemma":[0.99994767,0.000014847111,0.0000042615197,0.000007554391,0.000015972935,0.00000967097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010264587,0.0006171636,0.00024861947,0.0004858347,0.00046702698,0.00150089,0.00048512412,0.0006076414,0.027247319],"category_scores_gemma":[0.00019362682,0.00024244355,0.0002369163,0.0010731892,0.00035685784,0.0017756105,0.00084876915,0.0009399429,0.013460492],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032792035,0.000050307903,0.00013117978,0.0010614215,0.000013193423,0.00026984053,0.0006306431,0.005194697,0.004564137,0.2218931,0.26338738,0.50277126],"study_design_scores_gemma":[0.0000013650852,0.000012534594,0.00010910157,0.00018021169,0.0000027281362,0.00020487158,0.000084576364,0.00069953006,0.00031048182,0.014466436,0.9839236,0.000004587678],"about_ca_topic_score_codex":0.00091163476,"about_ca_topic_score_gemma":0.0022023418,"teacher_disagreement_score":0.027247319,"about_ca_system_score_codex":0.0005617844,"about_ca_system_score_gemma":0.00047975685,"threshold_uncertainty_score":0.09115136},"labels":[],"label_agreement":null},{"id":"W4296097671","doi":"10.1002/cjce.24641","title":"Multiple physical field coupling simulation of high current lithium electrolyzer in industry","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Mechanics; Current density; Electric field; Turbulence; Materials science; Chemistry; Thermodynamics; Physics","score_opus":0.011847039959479801,"score_gpt":0.24194422245440397,"score_spread":0.23009718249492417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296097671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9850509,0.00007269144,0.010145442,0.00009529355,0.000015179633,0.000022890177,0.000051447525,0.00012560959,0.00442052],"genre_scores_gemma":[0.9978911,0.000028254248,0.0012609604,0.000012168061,0.0000022793358,0.000010846728,0.000028526214,0.000009937459,0.0007558842],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998809,0.00002648733,0.000005237376,0.000018246206,0.00004139364,0.000027711876],"domain_scores_gemma":[0.9996222,0.0001881749,0.000040575083,0.00002152086,0.00007736054,0.000050234445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002822611,0.0003719823,0.00056211354,0.00052726176,0.0005684166,0.0006451704,0.00067189516,0.0010192163,0.0018680388],"category_scores_gemma":[0.00080449134,0.00030522814,0.0005350209,0.00052929856,0.0004520874,0.0008606587,0.0004933145,0.00046483293,0.00012332576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068424895,0.00008948927,0.0023029104,0.000023218181,0.000013580824,0.0001374257,0.00006291278,0.9921123,0.002577259,0.00047815742,0.000095478026,0.002038837],"study_design_scores_gemma":[0.000013535069,0.00003656271,0.00057439576,0.0000013984236,0.0000032686373,0.000007627859,0.000021615268,0.99837685,0.0007990506,0.000087663226,0.00007416278,0.0000038559974],"about_ca_topic_score_codex":0.012084174,"about_ca_topic_score_gemma":0.004877778,"teacher_disagreement_score":0.012084174,"about_ca_system_score_codex":0.0007207113,"about_ca_system_score_gemma":0.00062732166,"threshold_uncertainty_score":0.024027705},"labels":[],"label_agreement":null},{"id":"W4296168895","doi":"10.2139/ssrn.4220937","title":"Experimental and Numerical Investigation on Thermal Characteristics of 2×3 Designed Battery Module","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Thermal; Computer science; Reliability engineering; Engineering; Mechanical engineering; Electrical engineering; Materials science; Physics; Thermodynamics; Power (physics)","score_opus":0.013760871909561859,"score_gpt":0.2398079582720632,"score_spread":0.22604708636250134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296168895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97862214,0.00016874757,0.011068752,0.00014088447,0.00007643446,0.000037993796,0.00069209235,0.00037369048,0.008819373],"genre_scores_gemma":[0.99667645,0.00003455242,0.0013322948,0.00001321594,0.0000048445627,0.000022980836,0.000118186785,0.000022268141,0.0017751424],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998486,0.000015388458,0.00000689243,0.000030353774,0.000071502574,0.00002720586],"domain_scores_gemma":[0.99978286,0.000062968844,0.000020904725,0.000031776435,0.00008915314,0.00001243944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019833675,0.00028408912,0.0003289143,0.00021953248,0.0003863659,0.00029395378,0.00071800925,0.00053132605,0.005756239],"category_scores_gemma":[0.000521921,0.00016149883,0.00038544377,0.00031502068,0.00033242264,0.00048105736,0.00018998315,0.00025942823,0.0004634192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012791709,0.000315012,0.010479222,0.0009602308,0.00008008833,0.0009432082,0.00090417766,0.22277103,0.71018314,0.0031294026,0.005368949,0.043586418],"study_design_scores_gemma":[0.00012295814,0.0014589134,0.03884052,0.000077206845,0.00010519615,0.0004921734,0.00088468083,0.4474996,0.50052047,0.001223545,0.008655647,0.00011912558],"about_ca_topic_score_codex":0.0010111921,"about_ca_topic_score_gemma":0.0012514967,"teacher_disagreement_score":0.005756239,"about_ca_system_score_codex":0.00032269946,"about_ca_system_score_gemma":0.00019702395,"threshold_uncertainty_score":0.019256532},"labels":[],"label_agreement":null},{"id":"W4296307088","doi":"10.3390/en15186803","title":"Open-Circuit Voltage Models for Battery Management Systems: A Review","year":2022,"lang":"en","type":"review","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"State of charge; Battery (electricity); Voltage; Equivalent circuit; Computer science; Reliability engineering; A priori and a posteriori; Engineering; Power (physics); Electrical engineering","score_opus":0.13733561514085552,"score_gpt":0.351854615166841,"score_spread":0.2145190000259855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296307088","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00040639413,0.9877649,0.0065766065,0.00022781888,0.0002560838,0.000043295116,0.00022032749,0.00007006271,0.0044345064],"genre_scores_gemma":[0.004628814,0.9888228,0.0040638368,0.00014442409,0.00017891098,0.000059760332,0.00041185034,0.000023394807,0.001666121],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99948514,0.000079741534,0.000082381455,0.00008844725,0.00024081947,0.0000235669],"domain_scores_gemma":[0.9985172,0.00082360377,0.00016825656,0.0000655996,0.0004024093,0.000022832697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094516366,0.0017578196,0.0018828749,0.0037019397,0.00036191614,0.0015575035,0.0026925413,0.0014553561,0.007985256],"category_scores_gemma":[0.0027893719,0.00076848955,0.0014512554,0.0052439705,0.00047318247,0.0029976517,0.0008002544,0.0011997935,0.0045272238],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050663304,0.00009648513,0.0003517613,0.04289631,0.00012646195,0.00015365334,0.000087255285,0.007914693,0.0014553731,0.015293501,0.023604257,0.90796953],"study_design_scores_gemma":[0.000017002407,0.00015749982,0.00080553326,0.012033251,0.00038423407,0.00071268954,0.00011695834,0.005642801,0.0014488484,0.010407319,0.96819043,0.00008344968],"about_ca_topic_score_codex":0.0032052335,"about_ca_topic_score_gemma":0.00329799,"teacher_disagreement_score":0.007985256,"about_ca_system_score_codex":0.0007863906,"about_ca_system_score_gemma":0.0016524643,"threshold_uncertainty_score":0.026713371},"labels":[],"label_agreement":null},{"id":"W4296518787","doi":"10.3390/wevj13090174","title":"Dual-Source Bidirectional Quasi-Z-Source Inverter Development for Off-Road Electric Vehicles","year":2022,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Fundação para a Ciência e a Tecnologia; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Z-source inverter; Battery (electricity); Inverter; Controller (irrigation); Control theory (sociology); Voltage; Electric vehicle; Automotive engineering; Battery pack; Root mean square; Computer science; PID controller; Supercapacitor; Driving cycle; Engineering; Control (management); Electrical engineering; Control engineering; Physics; Temperature control; Power (physics)","score_opus":0.014460661097718746,"score_gpt":0.24323611284661115,"score_spread":0.2287754517488924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296518787","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12297087,0.003677663,0.82306844,0.00035305897,0.00033420147,0.0002071764,0.0003206083,0.0015414358,0.0475265],"genre_scores_gemma":[0.94310945,0.0016459385,0.041250244,0.00007774981,0.00004408905,0.00007650187,0.0003913695,0.000052797386,0.013351811],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999145,0.000007397722,0.000004753,0.000014938708,0.00005004225,0.00000835507],"domain_scores_gemma":[0.9999542,0.0000037701068,0.0000047527715,0.000005119874,0.000028593968,0.000003512732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008935889,0.00021518441,0.00020061682,0.0002496906,0.00015246827,0.0004393116,0.0005528566,0.00021379844,0.0023223935],"category_scores_gemma":[0.00007810046,0.000079349105,0.00020305491,0.00027815954,0.00012112965,0.0004576201,0.0002590261,0.00032093038,0.0006510669],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037470722,0.00021256374,0.0031863493,0.0008754881,0.0001060971,0.00033437973,0.00019184753,0.032437976,0.23003714,0.035966545,0.0060083084,0.69026864],"study_design_scores_gemma":[0.00015913392,0.0021834723,0.009383921,0.000110253546,0.00023363347,0.0008285207,0.00037112687,0.48809662,0.24712873,0.01600827,0.23541246,0.00008380332],"about_ca_topic_score_codex":0.0009380534,"about_ca_topic_score_gemma":0.0017308358,"teacher_disagreement_score":0.0023223935,"about_ca_system_score_codex":0.00022107654,"about_ca_system_score_gemma":0.00027981587,"threshold_uncertainty_score":0.007769227},"labels":[],"label_agreement":null},{"id":"W4296562073","doi":"","title":"Influence of aging on SEI and charge transfer resistances and their dependence on current and temperature for a Li-ion NCA+NMC/graphite cell","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Graphite; Current (fluid); Ion; Materials science; Charge (physics); Atomic physics; Analytical Chemistry (journal); Optoelectronics; Composite material; Thermodynamics; Chemistry; Physics; Chromatography","score_opus":0.01198092357997958,"score_gpt":0.23933615597480581,"score_spread":0.22735523239482625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296562073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959549,0.0011401402,0.0008417649,0.00009810077,0.00004159905,0.000007994783,0.0006962456,0.00021997253,0.0009994685],"genre_scores_gemma":[0.9990752,0.00017277454,0.00020491204,0.000015145007,0.000005709687,0.0000036788965,0.00014932854,0.000024393375,0.00034885344],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997812,0.000026599455,0.000023039674,0.0000584858,0.0000698162,0.000040905397],"domain_scores_gemma":[0.9987903,0.00073506,0.00011804514,0.00012377197,0.000192567,0.000040324838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004987386,0.0003057317,0.0005558345,0.00036310306,0.00033887153,0.0005188395,0.000509059,0.0005098811,0.0021315648],"category_scores_gemma":[0.0012927442,0.00020674769,0.00039318352,0.00044627875,0.00046451247,0.00048453515,0.00017976589,0.00041813348,0.0003573443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0063804244,0.00021357126,0.011827641,0.00052466494,0.00012640255,0.0011921265,0.00084955734,0.023289768,0.9247183,0.00044149882,0.001595008,0.02884095],"study_design_scores_gemma":[0.00003062882,0.0012392049,0.027222877,0.00003988668,0.00011953028,0.0004028988,0.0002612625,0.030769048,0.93768543,0.0001638432,0.0019924946,0.000072903],"about_ca_topic_score_codex":0.0030923998,"about_ca_topic_score_gemma":0.003220671,"teacher_disagreement_score":0.0030923998,"about_ca_system_score_codex":0.0005194435,"about_ca_system_score_gemma":0.00026908508,"threshold_uncertainty_score":0.007130742},"labels":[],"label_agreement":null},{"id":"W4296708727","doi":"10.1155/2022/6428887","title":"Optimal Deployment of Dynamic Wireless Charging Lanes for Electric Vehicles considering the Battery Charging Rate","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Software deployment; Battery (electricity); Wireless; Electric vehicle; Engineering; Integer (computer science); Automotive engineering; Integer programming; Mathematical optimization; Simulation; Computer science; Algorithm; Telecommunications; Power (physics); Mathematics","score_opus":0.011747292615244386,"score_gpt":0.25524546140625926,"score_spread":0.24349816879101488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296708727","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.124650754,0.0006770046,0.8612334,0.00038476038,0.00008389689,0.00012665443,0.0002340581,0.0003288865,0.012280546],"genre_scores_gemma":[0.9455282,0.00028950654,0.051111303,0.000042116546,0.000012764056,0.000100687605,0.00009746449,0.000043202243,0.002774753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999479,0.0001579906,0.000017058428,0.000118273296,0.000058182883,0.0001696041],"domain_scores_gemma":[0.99923515,0.00035290062,0.00011336365,0.000036619418,0.0001734281,0.000088537105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007963083,0.0013189743,0.0010551759,0.0007567984,0.0006489723,0.001689146,0.0011508107,0.001164291,0.0030224852],"category_scores_gemma":[0.002019408,0.00092059385,0.0007973566,0.0009658834,0.0007952228,0.0014818318,0.0011501252,0.00076510414,0.00030964662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004302532,0.000019407149,0.00041636484,0.000052034637,0.000010165899,0.0000689925,0.000025764344,0.9878086,0.0012624536,0.0037828179,0.0004292334,0.0060811946],"study_design_scores_gemma":[0.000006103007,0.000026555646,0.00010679363,0.0000043047153,0.000008559977,0.000013420399,0.000044237448,0.9975418,0.00030346785,0.0016437187,0.00029480233,0.0000063068396],"about_ca_topic_score_codex":0.010077477,"about_ca_topic_score_gemma":0.010336944,"teacher_disagreement_score":0.010077477,"about_ca_system_score_codex":0.0016597939,"about_ca_system_score_gemma":0.0018585419,"threshold_uncertainty_score":0.020037651},"labels":[],"label_agreement":null},{"id":"W4296871384","doi":"10.1109/tte.2022.3209098","title":"Integrated Multipurpose Power Electronics Interface for Electric Vehicles","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Power electronics; Interface (matter); Flexibility (engineering); Vehicle-to-grid; Plug and play; Plug-in; Grid; Automotive engineering; Engineering; Benchmark (surveying); Propulsion; Inverter; Electronics; Power (physics); Electrical engineering; Computer science; Electric vehicle; Voltage","score_opus":0.01409116945052259,"score_gpt":0.2583316201599034,"score_spread":0.24424045070938083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296871384","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09471801,0.0024084684,0.8392284,0.00019433009,0.0003961531,0.0002875456,0.00049612264,0.006320025,0.055950996],"genre_scores_gemma":[0.8801073,0.00075629813,0.09123173,0.0001608709,0.00007777681,0.00014064836,0.00090093486,0.00018371858,0.026440768],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997787,0.00002212685,0.000010935852,0.00003625875,0.00013001534,0.00002199454],"domain_scores_gemma":[0.99989474,0.000011142715,0.000010986757,0.00002655348,0.00004804712,0.000008502849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015990475,0.00042535228,0.00021662295,0.0003772826,0.00012980326,0.0006254546,0.00078267505,0.00033871923,0.005651834],"category_scores_gemma":[0.00026083147,0.00011316291,0.00019547013,0.00041413173,0.000103404,0.0009234894,0.0005390232,0.0004671365,0.0016087536],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056329457,0.00026598078,0.0022713104,0.000597609,0.00006210791,0.00039752835,0.00012462024,0.010851327,0.31067717,0.02500237,0.012714611,0.636472],"study_design_scores_gemma":[0.0001520597,0.0030332056,0.0092521375,0.00012168721,0.0001461729,0.0030060068,0.00013780942,0.18824217,0.41063666,0.008741167,0.3764383,0.00009265653],"about_ca_topic_score_codex":0.00020639866,"about_ca_topic_score_gemma":0.00030978216,"teacher_disagreement_score":0.005651834,"about_ca_system_score_codex":0.00020768064,"about_ca_system_score_gemma":0.00014642319,"threshold_uncertainty_score":0.018907249},"labels":[],"label_agreement":null},{"id":"W4296889583","doi":"10.1149/2.f10223if","title":"Next-Generation Aviation Li-Ion Battery Technologies—Enabling Electrified Aircraft","year":2022,"lang":"en","type":"article","venue":"The Electrochemical Society Interface","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"EaglePicher (Canada)","funders":"","keywords":"Aviation; Battery (electricity); Energy storage; Automotive engineering; Work (physics); Engineering; Systems engineering; Computer science; Aerospace engineering; Mechanical engineering; Power (physics)","score_opus":0.022753333932129246,"score_gpt":0.2553829900403789,"score_spread":0.23262965610824965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296889583","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22857794,0.16817456,0.2319212,0.010292738,0.0019406796,0.0002470558,0.0016445137,0.002574247,0.35462704],"genre_scores_gemma":[0.7967311,0.07103157,0.052476287,0.0011323873,0.00046450863,0.00009760318,0.0011986207,0.00018801344,0.0766799],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99981695,0.000015431411,0.000009654024,0.000022628798,0.00010635364,0.000029030747],"domain_scores_gemma":[0.99993336,0.00000956668,0.000009536739,0.000006587253,0.00003300878,0.000007883323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003037795,0.00027008567,0.00016414648,0.00047893258,0.00029356926,0.0012799784,0.00054507784,0.00062677515,0.0033560554],"category_scores_gemma":[0.00021358655,0.000096602234,0.0002109812,0.00032348552,0.00021765067,0.0017892972,0.0006234926,0.0004664237,0.001465191],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003970736,0.00014250004,0.0025780243,0.0015346936,0.0000378539,0.0007120363,0.0004420202,0.0061325515,0.39968407,0.09586404,0.02170395,0.4707712],"study_design_scores_gemma":[0.000020940428,0.00052831834,0.0016000612,0.00022584994,0.000037551912,0.0019681435,0.00029829796,0.017141076,0.37055987,0.013627635,0.59394664,0.00004569215],"about_ca_topic_score_codex":0.000691764,"about_ca_topic_score_gemma":0.0013359828,"teacher_disagreement_score":0.0033560554,"about_ca_system_score_codex":0.0006273064,"about_ca_system_score_gemma":0.00040113367,"threshold_uncertainty_score":0.0112271905},"labels":[],"label_agreement":null},{"id":"W4297919129","doi":"10.33564/ijeast.2022.v07i04.005","title":"BATTERY MODELLING APPROACHES FOR ELECTRIC VEHICLES: A SYSTEMATIC REVIEW","year":2022,"lang":"en","type":"review","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Memorial University of Newfoundland","keywords":"Battery (electricity); State of health; Process (computing); Computer science; State of charge; Risk analysis (engineering); Automotive engineering; Electric vehicle; Reliability engineering; Systems engineering; Engineering; Control engineering; Business","score_opus":0.1837053550878971,"score_gpt":0.3260617473802997,"score_spread":0.1423563922924026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297919129","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000114622795,0.9990984,0.00020015312,0.00011943975,0.00006427874,0.000022114558,0.000054878525,0.000004796796,0.00032124264],"genre_scores_gemma":[0.0007925383,0.9985782,0.00030620518,0.00007358342,0.00003290644,0.000026671125,0.00006106095,0.0000019663587,0.0001268853],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9991678,0.00020696205,0.00025993862,0.00009864454,0.00023181502,0.000034975146],"domain_scores_gemma":[0.9969021,0.0021551417,0.00038404294,0.00006376449,0.00045007034,0.00004489671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001780237,0.0012985262,0.0025070845,0.0060868934,0.0003576683,0.0017830364,0.0017093648,0.001320738,0.0067805876],"category_scores_gemma":[0.00586965,0.00059691985,0.002456156,0.006363628,0.00043896664,0.002435503,0.0008905249,0.0009996555,0.0012486998],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087938024,0.00006181828,0.00029255508,0.39575517,0.0007016673,0.00017968568,0.00020386079,0.0007948893,0.0004005051,0.0031792296,0.012325005,0.5860177],"study_design_scores_gemma":[0.00005721426,0.00022084986,0.0016842777,0.3463029,0.0049501457,0.0013105153,0.00034584306,0.00043417842,0.000497332,0.003421459,0.64070165,0.000073616684],"about_ca_topic_score_codex":0.004521998,"about_ca_topic_score_gemma":0.009414221,"teacher_disagreement_score":0.0067805876,"about_ca_system_score_codex":0.0010390393,"about_ca_system_score_gemma":0.0045841555,"threshold_uncertainty_score":0.022683322},"labels":[],"label_agreement":null},{"id":"W4297988713","doi":"10.3390/batteries8100147","title":"Thermal Modelling Utilizing Multiple Experimentally Measurable Parameters","year":2022,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Internal resistance; Internal heating; Materials science; Thermal resistance; Tortuosity; Thermal; Mechanics; Equivalent circuit; Thermal diffusivity; Electrical impedance; Thermal conductivity; Thermodynamics; Battery (electricity); Porosity; Composite material; Physics; Voltage","score_opus":0.051780983448032426,"score_gpt":0.2536335912968469,"score_spread":0.2018526078488145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297988713","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14373319,0.0003677671,0.83220196,0.00018253479,0.00010774966,0.00018830068,0.0011289705,0.0019848526,0.020104764],"genre_scores_gemma":[0.94967407,0.00042987632,0.04152973,0.000044692493,0.000016081169,0.00036492525,0.0007432181,0.00014850321,0.0070489286],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996101,0.00006376647,0.000028770759,0.00010415693,0.00016769332,0.000025636997],"domain_scores_gemma":[0.999597,0.00016714317,0.000044466407,0.00008037288,0.00010289608,0.000008047301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003854897,0.00086800545,0.00055557257,0.0005628263,0.00026941675,0.0009512442,0.0010951118,0.0008730902,0.003025816],"category_scores_gemma":[0.001742428,0.00039924966,0.0010413954,0.00051240413,0.00042033373,0.0015019537,0.00048627116,0.0006540998,0.0008424413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044222725,0.00004452428,0.0011570035,0.00015730766,0.000030455925,0.000056148543,0.00006736071,0.96058804,0.013568919,0.0038971915,0.00042394057,0.019964935],"study_design_scores_gemma":[0.00000759113,0.000043295935,0.00045260307,0.000012317835,0.000022932605,0.00004013647,0.000014898528,0.9865023,0.008540509,0.0019174757,0.002427633,0.000018320367],"about_ca_topic_score_codex":0.0032528143,"about_ca_topic_score_gemma":0.0027853914,"teacher_disagreement_score":0.0032528143,"about_ca_system_score_codex":0.0008367574,"about_ca_system_score_gemma":0.00059003884,"threshold_uncertainty_score":0.010122418},"labels":[],"label_agreement":null},{"id":"W4298012349","doi":"10.1016/j.ijheatmasstransfer.2022.123486","title":"A CNN-ABC model for estimation and optimization of heat generation rate and voltage distributions of lithium-ion batteries for electric vehicles","year":2022,"lang":"en","type":"article","venue":"International Journal of Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":121,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Support vector machine; Voltage; Battery (electricity); Artificial neural network; Artificial intelligence; Power (physics); Engineering; Electrical engineering","score_opus":0.018818965918276687,"score_gpt":0.26823296215562875,"score_spread":0.24941399623735205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298012349","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15606353,0.003322578,0.82098967,0.00078816875,0.00035035584,0.000104411,0.0006983327,0.0014421635,0.01624083],"genre_scores_gemma":[0.9537425,0.0005498666,0.03799763,0.00015057655,0.00004396838,0.00011224528,0.00053694536,0.000058467303,0.006807868],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999311,0.00001066837,0.000004033547,0.00002299501,0.000017088701,0.000014191777],"domain_scores_gemma":[0.99979776,0.000074891235,0.00001556756,0.0000103060975,0.00009224007,0.000009202782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002868899,0.00059276307,0.00060027686,0.00030488524,0.00023296142,0.0005681647,0.0010826498,0.0010454057,0.0024505847],"category_scores_gemma":[0.00080844364,0.0003411963,0.00047039601,0.0003923302,0.00023673703,0.0004310244,0.00032928798,0.0007473753,0.00041579964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046946818,0.000028402435,0.0007587585,0.000036070014,0.000023903567,0.000029779154,0.0000087431235,0.9620929,0.0010499192,0.001104894,0.0008294763,0.033990335],"study_design_scores_gemma":[8.649235e-7,0.0000026335483,0.000049925253,0.0000011734969,0.0000016603925,0.0000017424926,5.610122e-7,0.99972445,0.00007986186,0.00007425792,0.00006223266,5.928872e-7],"about_ca_topic_score_codex":0.056360826,"about_ca_topic_score_gemma":0.04180278,"teacher_disagreement_score":0.056360826,"about_ca_system_score_codex":0.0008685775,"about_ca_system_score_gemma":0.0008508887,"threshold_uncertainty_score":0.11206555},"labels":[],"label_agreement":null},{"id":"W4298273050","doi":"","title":"Merging control of a hybrid energy storage system using battery/supercapacitor for electric vehicle application","year":2018,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Supercapacitor; Energy storage; Battery (electricity); Electric vehicle; Computer science; Automotive engineering; Computer data storage; Control (management); Engineering; Computer hardware; Capacitance; Chemistry; Artificial intelligence; Electrode; Power (physics)","score_opus":0.009682606951721573,"score_gpt":0.22142001033261077,"score_spread":0.2117374033808892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298273050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7593593,0.00059913035,0.20739591,0.00067259005,0.00043515945,0.00021987122,0.00031969085,0.001203126,0.029795276],"genre_scores_gemma":[0.9966575,0.00003024481,0.0014100829,0.000015250629,0.0000099376575,0.0000232221,0.000019505367,0.0000055315613,0.0018286896],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998878,0.000017180448,0.000011992296,0.000029743642,0.000030867028,0.000022329325],"domain_scores_gemma":[0.9998135,0.000039082894,0.000027730073,0.000015341731,0.00008417843,0.000020232977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026334927,0.00037597818,0.000537218,0.0002643994,0.0007707896,0.0010886234,0.000651452,0.00043926554,0.0035083129],"category_scores_gemma":[0.00021938556,0.00018632754,0.00027404784,0.00033206947,0.00035921112,0.00035975617,0.00047386627,0.00030272972,0.00031041927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0037218584,0.0006208394,0.004969191,0.0010080419,0.00036420496,0.0014052016,0.0007797177,0.5018244,0.31487197,0.0069490643,0.00810545,0.15538006],"study_design_scores_gemma":[0.00007858461,0.0005934752,0.0023148044,0.0000186216,0.00007160514,0.00006997624,0.000108839544,0.9745789,0.019233258,0.0007325028,0.0021793628,0.000020051777],"about_ca_topic_score_codex":0.005023435,"about_ca_topic_score_gemma":0.009173071,"teacher_disagreement_score":0.005023435,"about_ca_system_score_codex":0.00032131217,"about_ca_system_score_gemma":0.0004225101,"threshold_uncertainty_score":0.011736453},"labels":[],"label_agreement":null},{"id":"W4304997620","doi":"10.1016/j.jpowsour.2022.232218","title":"Optimal sizing of residential battery energy storage systems for long-term operational planning","year":2022,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Sizing; Battery (electricity); Mathematical optimization; Computer science; Energy storage; Time horizon; Renewable energy; Convergence (economics); Particle swarm optimization; Term (time); Optimization problem; State of charge; Automotive engineering; Engineering; Power (physics); Electrical engineering; Mathematics; Economics","score_opus":0.01788124229718723,"score_gpt":0.27289048842142727,"score_spread":0.25500924612424003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304997620","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3379277,0.0019751426,0.5952142,0.0009726644,0.00023292152,0.0005803106,0.00184045,0.0015026502,0.05975396],"genre_scores_gemma":[0.9761909,0.00016855083,0.02009813,0.000034382876,0.000018561477,0.00009407221,0.00017796947,0.000056223034,0.0031610532],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997601,0.00009172667,0.000013464246,0.000036070287,0.000052078703,0.000046570985],"domain_scores_gemma":[0.9996555,0.0001837897,0.000035200737,0.000018002453,0.0000821677,0.000025394093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037389738,0.00087225286,0.0010192455,0.0006626908,0.00048925466,0.0016537382,0.00091134035,0.00073364,0.008654138],"category_scores_gemma":[0.0010737895,0.000716751,0.00048158015,0.0008231457,0.00033350984,0.0013177871,0.00039276842,0.00067309686,0.000586983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000107238666,0.000051579842,0.000352157,0.00008608056,0.000029297631,0.000057877518,0.00003236958,0.96975815,0.0026419698,0.0028865526,0.0012635742,0.022733089],"study_design_scores_gemma":[0.000019968049,0.0000545416,0.00041762285,0.000012020352,0.000022918688,0.00002000037,0.00004468838,0.99455005,0.00096911076,0.0032660393,0.0006151575,0.0000078504],"about_ca_topic_score_codex":0.00752462,"about_ca_topic_score_gemma":0.01962144,"teacher_disagreement_score":0.008654138,"about_ca_system_score_codex":0.00124077,"about_ca_system_score_gemma":0.001521021,"threshold_uncertainty_score":0.02895099},"labels":[],"label_agreement":null},{"id":"W4304998091","doi":"10.1016/j.est.2022.105750","title":"Multi-purpose controllable electrochemical impedance spectroscopy using bidirectional DC–DC converter","year":2022,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Dielectric spectroscopy; Electrical impedance; Materials science; Electrochemistry; Electrical engineering; Analytical Chemistry (journal); Physics; Chemistry; Engineering; Electrode","score_opus":0.01409359252757167,"score_gpt":0.26413046027161263,"score_spread":0.25003686774404094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304998091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.622055,0.0028745825,0.34547183,0.001419683,0.00083096384,0.000325649,0.0020028884,0.004114768,0.020904649],"genre_scores_gemma":[0.9551636,0.00052901404,0.038168117,0.00021238692,0.00009081851,0.00014232843,0.000249737,0.00013120064,0.0053127147],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99934274,0.00007709002,0.00003236325,0.00018260324,0.00030209895,0.00006306785],"domain_scores_gemma":[0.9996364,0.00009462768,0.00005929973,0.0000599786,0.00012024337,0.000029431209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003980013,0.0006257199,0.0005158276,0.0005282666,0.0003508053,0.00089247146,0.0010629978,0.00053108885,0.002822633],"category_scores_gemma":[0.00047300296,0.0003080798,0.0001993682,0.0007170164,0.00028728158,0.00089924544,0.00072252617,0.00067008415,0.0008444255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017981153,0.00004808283,0.00033503442,0.00014467677,0.000010091,0.000058354104,0.000047086636,0.00008966596,0.9758804,0.0008160408,0.0006967358,0.021694016],"study_design_scores_gemma":[0.000033201817,0.00011224887,0.0012080316,0.000013461215,0.000018616593,0.00023971811,0.000046571568,0.008059729,0.9835443,0.00042274623,0.006275478,0.000025813128],"about_ca_topic_score_codex":0.00024051739,"about_ca_topic_score_gemma":0.0008873673,"teacher_disagreement_score":0.002822633,"about_ca_system_score_codex":0.00033088628,"about_ca_system_score_gemma":0.00025048965,"threshold_uncertainty_score":0.009442687},"labels":[],"label_agreement":null},{"id":"W4306778408","doi":"10.18280/ejee.240404","title":"Battery Storage System Design Using PWM Current and Voltage Controllers","year":2022,"lang":"en","type":"article","venue":"European Journal of Electrical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Photovoltaic system; Energy storage; Battery (electricity); Electrical engineering; Voltage; Automotive engineering; Automotive battery; Power (physics); Stand-alone power system; Computer science; Engineering; Distributed generation; Renewable energy; Physics","score_opus":0.022145807077622818,"score_gpt":0.2279205135486814,"score_spread":0.20577470647105858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306778408","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05968341,0.0011898263,0.89252865,0.00025219895,0.00018685368,0.00044317366,0.0002851391,0.0015599671,0.043870803],"genre_scores_gemma":[0.91878074,0.00077277754,0.06685754,0.000059792404,0.000028981824,0.0004845271,0.0001597819,0.00006786231,0.012787931],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988854,0.00001984731,0.000008577014,0.000019558862,0.00005242191,0.000011022435],"domain_scores_gemma":[0.9999367,0.000012215724,0.000007709182,0.0000061422,0.000033166318,0.0000040501095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001409527,0.00030193993,0.00038170523,0.00020650635,0.00030618088,0.00086451805,0.0007789551,0.0004952203,0.0043138238],"category_scores_gemma":[0.00021542235,0.0001719392,0.0003164909,0.000246852,0.00015835813,0.00045579486,0.00020566612,0.00036767384,0.00089972414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021315398,0.00014276772,0.0009898246,0.0006525181,0.00008460894,0.00022815673,0.00022017898,0.7779823,0.08328659,0.015219128,0.0025985977,0.118382215],"study_design_scores_gemma":[0.000042019772,0.00020831382,0.0003311382,0.000029051283,0.000026144846,0.00010138811,0.000035888876,0.9718707,0.015334896,0.002057755,0.009949515,0.000013257008],"about_ca_topic_score_codex":0.0018948484,"about_ca_topic_score_gemma":0.0015621597,"teacher_disagreement_score":0.0043138238,"about_ca_system_score_codex":0.00026946116,"about_ca_system_score_gemma":0.00049057184,"threshold_uncertainty_score":0.014431179},"labels":[],"label_agreement":null},{"id":"W4307361101","doi":"10.3389/fther.2022.1049857","title":"Numerical assessment of thermal management on the capacity fade of lithium-ion batteries in electric vehicles","year":2022,"lang":"en","type":"article","venue":"Frontiers in Thermal Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fade; Battery (electricity); Automotive engineering; Heat generation; Depth of discharge; Environmental science; Lithium-ion battery; Lithium (medication); Thermal; Nuclear engineering; Voltage; Thermal runaway; Thermal management of electronic devices and systems; Materials science; Electrical engineering; Power (physics); Computer science; Engineering; Mechanical engineering; Meteorology; Thermodynamics","score_opus":0.010433374538539155,"score_gpt":0.22359249991288607,"score_spread":0.21315912537434692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307361101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98118985,0.00038273502,0.011170696,0.00017406496,0.000026680187,0.000036027755,0.00020748304,0.00007712382,0.0067353076],"genre_scores_gemma":[0.99887663,0.000050466635,0.00055696385,0.0000075542916,0.0000012945135,0.000011024035,0.000036211874,0.0000034116038,0.0004563994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999037,0.000026073894,0.0000051596603,0.000014004133,0.000020302845,0.000030900683],"domain_scores_gemma":[0.99936825,0.00041013124,0.000072698014,0.000024479126,0.0000974469,0.000027088015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003798277,0.00045597914,0.00038242643,0.00042835725,0.000415234,0.0006586563,0.00047304804,0.0009515683,0.0011272088],"category_scores_gemma":[0.0014026826,0.00019165303,0.00059943786,0.0003040388,0.0005207287,0.0004407705,0.00040993717,0.00047274557,0.00008046548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006568767,0.00003678958,0.0022077612,0.000033094162,0.000008486097,0.000066197244,0.000021310418,0.99455875,0.0011824087,0.00035522258,0.00009929597,0.0013649265],"study_design_scores_gemma":[0.000006178238,0.000059825285,0.0010237052,0.000006668181,0.000007476168,0.000009626009,0.000036272308,0.99775654,0.0008101141,0.0001426317,0.0001349757,0.000006002556],"about_ca_topic_score_codex":0.017816084,"about_ca_topic_score_gemma":0.008726365,"teacher_disagreement_score":0.017816084,"about_ca_system_score_codex":0.0008235811,"about_ca_system_score_gemma":0.00039481284,"threshold_uncertainty_score":0.03542477},"labels":[],"label_agreement":null},{"id":"W4307446870","doi":"10.1002/aenm.202270163","title":"Accelerated Development of High Voltage Li‐Ion Cathodes (Adv. Energy Mater. 40/2022)","year":2022,"lang":"en","type":"article","venue":"Advanced Energy Materials","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Materials science; Cathode; Throughput; Voltage; Dopant; Ion; High voltage; Engineering physics; Nanotechnology; High energy; Optoelectronics; Electrical engineering; Doping; Computer science; Engineering; Telecommunications; Physics","score_opus":0.016292786652998145,"score_gpt":0.24996885404315766,"score_spread":0.2336760673901595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307446870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66561824,0.04947551,0.1512717,0.0072137495,0.004524604,0.0009902535,0.0031869495,0.0050698733,0.11264912],"genre_scores_gemma":[0.824983,0.01989839,0.09669701,0.0013278883,0.00042127664,0.00041614115,0.0029603802,0.00037587655,0.052920002],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999585,0.0000393134,0.000017055601,0.000060409027,0.00024557035,0.000052675823],"domain_scores_gemma":[0.99977237,0.000040865147,0.000027234571,0.000023344692,0.00010107143,0.00003509644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009851528,0.00052004814,0.0002978829,0.000664904,0.0003810944,0.0010380988,0.00043026457,0.0006555192,0.0023282764],"category_scores_gemma":[0.0005392637,0.0003234673,0.0003656254,0.0002736006,0.00023374926,0.00083538156,0.00059367844,0.0008170876,0.0015874449],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113983624,0.00010564557,0.00046222622,0.00018453597,0.000016388749,0.00014275742,0.00004822524,0.00038454361,0.940676,0.0038527688,0.0055771135,0.04843586],"study_design_scores_gemma":[0.000027351482,0.0001975712,0.0010960142,0.000007992908,0.000009787597,0.00021121511,0.000013742765,0.0014152752,0.96552527,0.00047373396,0.031008486,0.000013535601],"about_ca_topic_score_codex":0.0005907547,"about_ca_topic_score_gemma":0.0009140439,"teacher_disagreement_score":0.0023282764,"about_ca_system_score_codex":0.00044093316,"about_ca_system_score_gemma":0.00057643675,"threshold_uncertainty_score":0.007788837},"labels":[],"label_agreement":null},{"id":"W4307460150","doi":"10.4271/2022-01-7034","title":"Model-Based Multi-Fault Diagnosis for Lithium-Ion Battery Systems","year":2022,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Lithium (medication); Fault (geology); Reliability engineering; Battery (electricity); Lithium-ion battery; Engineering; Medicine; Thermodynamics; Physics; Power (physics); Internal medicine; Geology","score_opus":0.02904410104336916,"score_gpt":0.2799777503995271,"score_spread":0.2509336493561579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307460150","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04745583,0.00042024453,0.9482848,0.00017445964,0.00004427784,0.00004642141,0.00006628546,0.0013821924,0.0021255563],"genre_scores_gemma":[0.97502327,0.00012841861,0.0235709,0.0000309047,0.000011249552,0.000056903733,0.00008507628,0.000024738783,0.00106856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974996,0.000050748797,0.00001537937,0.00005593815,0.00009843177,0.00002948476],"domain_scores_gemma":[0.9996797,0.00014733922,0.00005811038,0.000026181364,0.0000764283,0.000012280534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002819604,0.0006577232,0.0007719197,0.0005865297,0.0003981683,0.00064894266,0.0005674944,0.0005878116,0.0013484302],"category_scores_gemma":[0.0012304367,0.0002864507,0.00061009434,0.0002768037,0.0002722174,0.00074648944,0.0005305823,0.0006131764,0.00022007378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011087871,0.00004375598,0.00083829166,0.00008501763,0.00003155258,0.000082163206,0.000065771506,0.9451303,0.005148789,0.002260855,0.00044392023,0.045758724],"study_design_scores_gemma":[0.0000032179933,0.000014593105,0.00011808072,0.0000017507325,0.000003209464,0.0000087760145,0.0000031307277,0.9989237,0.00041804288,0.00041679805,0.000086494976,0.0000021399017],"about_ca_topic_score_codex":0.010554293,"about_ca_topic_score_gemma":0.008063505,"teacher_disagreement_score":0.010554293,"about_ca_system_score_codex":0.000830411,"about_ca_system_score_gemma":0.0005904329,"threshold_uncertainty_score":0.020985723},"labels":[],"label_agreement":null},{"id":"W4308069523","doi":"10.1109/ccece49351.2022.9918346","title":"IoT Enabled Grid Storage System","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Modular design; Microcontroller; Grid; Computer science; Battery (electricity); Energy storage; Electrical engineering; Battery pack; Embedded system; Power (physics); Engineering; Operating system","score_opus":0.012075105975475663,"score_gpt":0.22854426210765086,"score_spread":0.21646915613217518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308069523","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21385998,0.0036549892,0.41483384,0.0023247476,0.0020870573,0.0008199704,0.0053140996,0.025398597,0.3317068],"genre_scores_gemma":[0.9111338,0.0012107395,0.026693793,0.0006046321,0.00016218319,0.0003233754,0.0020278168,0.00018720083,0.057656422],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985623,0.000014681781,0.000015591368,0.000026901062,0.00006214016,0.000024437742],"domain_scores_gemma":[0.99988866,0.000010831346,0.000009709998,0.000022636983,0.00005579438,0.000012431494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010462377,0.00025210378,0.00039096817,0.00042174893,0.0005052039,0.0007834231,0.00068706984,0.00041412204,0.015862234],"category_scores_gemma":[0.00012567417,0.00012968783,0.00019835094,0.0004456547,0.00018352119,0.0009167421,0.0006960515,0.0002426325,0.004180038],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018220376,0.00044863328,0.008599624,0.002088673,0.0001737959,0.003842412,0.0006778768,0.03501031,0.23815551,0.04428619,0.14728285,0.5176121],"study_design_scores_gemma":[0.00031504303,0.00094279577,0.008909941,0.00032967963,0.00023616187,0.004414004,0.00051430176,0.25033772,0.21547776,0.015085451,0.50328887,0.00014825951],"about_ca_topic_score_codex":0.0004976087,"about_ca_topic_score_gemma":0.00070327136,"teacher_disagreement_score":0.015862234,"about_ca_system_score_codex":0.0003461125,"about_ca_system_score_gemma":0.00028721394,"threshold_uncertainty_score":0.053064406},"labels":[],"label_agreement":null},{"id":"W4308518092","doi":"10.3390/technologies10060113","title":"Modular Multi-Input DC/DC Converter for EV Fast Charging","year":2022,"lang":"en","type":"article","venue":"Technologies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Modular design; Converters; Power (physics); Battery (electricity); MATLAB; Electrical engineering; Forward converter; Boost converter; Buck converter; Computer science; Voltage; Electronic engineering; Topology (electrical circuits); Engineering; Physics","score_opus":0.02661582823917657,"score_gpt":0.27041677339725995,"score_spread":0.24380094515808337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308518092","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09656679,0.0015949472,0.86714756,0.00017860135,0.00032094892,0.00023720025,0.00020332706,0.0025294847,0.031221177],"genre_scores_gemma":[0.930782,0.00062987267,0.05858193,0.0000913513,0.000057409135,0.0000900508,0.00015306709,0.000075954005,0.0095383935],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998678,0.000014524496,0.0000075677754,0.000025368185,0.00006850488,0.000016264337],"domain_scores_gemma":[0.9999125,0.000010592544,0.000007975276,0.000014734198,0.0000483325,0.000005953075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001647604,0.00034523496,0.00027687024,0.00039631766,0.00022772606,0.000520962,0.00062350236,0.00026996082,0.0032808601],"category_scores_gemma":[0.00018408115,0.00012621302,0.00029644452,0.00034244324,0.000120502,0.0006532158,0.0003159341,0.00046529443,0.0010424212],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004142317,0.00021813785,0.0016865367,0.0010457962,0.000089528025,0.00056125724,0.00017724522,0.047548153,0.48256567,0.020886678,0.0054720473,0.43933472],"study_design_scores_gemma":[0.00011655709,0.00080515747,0.0030631323,0.00014563288,0.0001320829,0.001991848,0.00013212622,0.45167592,0.45587733,0.007764983,0.078206524,0.00008871662],"about_ca_topic_score_codex":0.00023248058,"about_ca_topic_score_gemma":0.00037568403,"teacher_disagreement_score":0.0032808601,"about_ca_system_score_codex":0.00019634806,"about_ca_system_score_gemma":0.00020657823,"threshold_uncertainty_score":0.01097554},"labels":[],"label_agreement":null},{"id":"W4308971685","doi":"10.3390/en15228441","title":"Optimizing Current Profiles for Efficient Online Estimation of Battery Equivalent Circuit Model Parameters Based on Cramer–Rao Lower Bound","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Internal resistance; Battery (electricity); Voltage; Equivalent circuit; Identification (biology); Reliability (semiconductor); Open-circuit voltage; Engineering; State of charge; Control theory (sociology); Computer science; Electronic engineering; Reliability engineering; Electrical engineering; Power (physics); Physics","score_opus":0.0470414202464723,"score_gpt":0.30069224663482913,"score_spread":0.25365082638835684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308971685","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003080941,0.000373822,0.9943129,0.000076711374,0.000017407901,0.00003611204,0.00003615422,0.00057584036,0.0014901574],"genre_scores_gemma":[0.41785267,0.0013793238,0.5741283,0.00030084304,0.00010245254,0.00035851632,0.000703802,0.00042699536,0.004747095],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990393,0.0002210017,0.000060213435,0.00019232352,0.0003763957,0.00011079425],"domain_scores_gemma":[0.9982054,0.0009078427,0.00013805387,0.00017870167,0.00052095624,0.00004901224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011975254,0.0017649579,0.0016176616,0.00096884737,0.00060027314,0.0016757383,0.0013227604,0.0011224584,0.003706277],"category_scores_gemma":[0.007973472,0.000760709,0.00085571595,0.001063099,0.0007214497,0.002045537,0.0011432806,0.0019400923,0.0027358124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002326834,0.00013191397,0.0009718914,0.0003620492,0.00006968084,0.000108814245,0.00019520569,0.70768315,0.016733501,0.011302328,0.004649345,0.25755936],"study_design_scores_gemma":[0.000008690081,0.00003084402,0.0002134264,0.000020173042,0.000009305011,0.00004763454,0.000015269088,0.9934864,0.0026371828,0.0024204522,0.0010972905,0.000013305647],"about_ca_topic_score_codex":0.009198046,"about_ca_topic_score_gemma":0.009025809,"teacher_disagreement_score":0.009198046,"about_ca_system_score_codex":0.00079867936,"about_ca_system_score_gemma":0.00217446,"threshold_uncertainty_score":0.01828903},"labels":[],"label_agreement":null},{"id":"W4309684560","doi":"10.1109/iemcon56893.2022.9946614","title":"Design and Control of a Novel Cuk-Boost Converter Using State Space Averaging Technique with Dynamic Bond Graph Modeling","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ćuk converter; Bond graph; Converters; Boost converter; Computer science; MATLAB; Buck–boost converter; Control theory (sociology); PID controller; Electronic engineering; Voltage; Photovoltaic system; Graph; Topology (electrical circuits); Engineering; Control engineering; Mathematics; Electrical engineering; Control (management); Theoretical computer science","score_opus":0.017286855022720267,"score_gpt":0.24321999803408106,"score_spread":0.2259331430113608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309684560","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045761943,0.0002470634,0.94254565,0.000106200874,0.0000544465,0.000108998516,0.00006925824,0.00085293676,0.010253569],"genre_scores_gemma":[0.9537498,0.00020686907,0.0429071,0.000028734199,0.000010429471,0.0001192602,0.00003826817,0.00002627235,0.0029132303],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998684,0.000017748034,0.0000074837367,0.000031488064,0.00006352622,0.000011342526],"domain_scores_gemma":[0.999936,0.00001301875,0.000014958389,0.0000073952287,0.000024770856,0.0000039546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019880536,0.00026862213,0.00038821506,0.00020619252,0.0003266817,0.0006387569,0.00060535496,0.00023537314,0.0015873808],"category_scores_gemma":[0.00018095027,0.00020281498,0.00025660417,0.0002706871,0.00019619182,0.00036557694,0.00023455163,0.0003288105,0.00024736702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022508613,0.00016426195,0.0013707342,0.0004518658,0.00011439239,0.0003418965,0.00020639604,0.69216824,0.12146632,0.019267505,0.0017605324,0.16246283],"study_design_scores_gemma":[0.000013148646,0.00011414926,0.00032074857,0.000008748234,0.000017111362,0.00006619779,0.00001284423,0.987068,0.009584152,0.0009722157,0.0018140911,0.000008694737],"about_ca_topic_score_codex":0.002122944,"about_ca_topic_score_gemma":0.0031972514,"teacher_disagreement_score":0.002122944,"about_ca_system_score_codex":0.0003337048,"about_ca_system_score_gemma":0.0005437552,"threshold_uncertainty_score":0.0053103566},"labels":[],"label_agreement":null},{"id":"W4309797018","doi":"10.1149/ma2022-023222mtgabs","title":"The Role of Long Lifetime Li-Ion Cells in a Sustainable Future","year":2022,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Energy storage; Renewable energy; Voltage; Fossil fuel; Sustainable energy; Electricity generation; Environmental science; Nanotechnology; Materials science; Electrical engineering; Engineering; Power (physics); Waste management; Physics","score_opus":0.004586969639257557,"score_gpt":0.21949034308532225,"score_spread":0.2149033734460647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309797018","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.078727745,0.76467144,0.033749122,0.026567852,0.004166172,0.00008267263,0.00097538467,0.00096175657,0.09009777],"genre_scores_gemma":[0.51442575,0.40121645,0.030728368,0.0062948437,0.0019500162,0.00017615374,0.0010831162,0.00030225565,0.043822978],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99978167,0.000021628926,0.0000092877,0.000032141892,0.000113508206,0.000041872463],"domain_scores_gemma":[0.9996829,0.00008595707,0.000032113992,0.000020227075,0.00011098347,0.00006798046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075739104,0.00042547312,0.0004715089,0.0002517243,0.00057028176,0.0016100361,0.0008283017,0.0017028928,0.0068580466],"category_scores_gemma":[0.0006905895,0.00018154044,0.00019082773,0.00039768746,0.00076237414,0.0039803586,0.001031227,0.0014865991,0.0031977193],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005256044,0.0002474912,0.0031379033,0.004366746,0.000055191842,0.0010078701,0.00075598015,0.013395098,0.20086275,0.22990617,0.073909394,0.4718298],"study_design_scores_gemma":[0.000026034355,0.0006540353,0.0012634376,0.0005592004,0.00005328679,0.0009296408,0.0006916718,0.009296426,0.063030355,0.06866698,0.8547278,0.000101155376],"about_ca_topic_score_codex":0.00041182083,"about_ca_topic_score_gemma":0.0006064438,"teacher_disagreement_score":0.0068580466,"about_ca_system_score_codex":0.000844008,"about_ca_system_score_gemma":0.00058879395,"threshold_uncertainty_score":0.022942483},"labels":[],"label_agreement":null},{"id":"W4309812276","doi":"10.1149/ma2022-02281080mtgabs","title":"State of Health Estimation and Remaining Useful Life Prediction Using Hybrid Kmeans CNN-Lstm Network","year":2022,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Artificial neural network; Artificial intelligence; Battery (electricity); State of health; Convolutional neural network; Kalman filter; Machine learning","score_opus":0.029646215454857183,"score_gpt":0.2722570947266513,"score_spread":0.24261087927179414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309812276","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40583366,0.00354222,0.569751,0.0008598164,0.0005744789,0.00015121471,0.0028298155,0.005593084,0.01086474],"genre_scores_gemma":[0.97964054,0.00034807032,0.015488785,0.00011050291,0.000047999474,0.0000682665,0.0011175314,0.00002839487,0.0031499665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998437,0.000008746239,0.000013058057,0.000059890088,0.00003365728,0.000040930623],"domain_scores_gemma":[0.9998387,0.000036203186,0.000027393877,0.000011668261,0.000074375916,0.000011650816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024920257,0.0010074088,0.00070321746,0.00069000263,0.00023875333,0.00054591574,0.0009388635,0.0007752536,0.0017766976],"category_scores_gemma":[0.00065099704,0.00037818553,0.00065819913,0.00051082805,0.0001884455,0.0005166171,0.00045930326,0.0007172717,0.00041616333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039030967,0.00023148493,0.010986918,0.00020329568,0.00017900107,0.0005299986,0.0000814933,0.6984107,0.012630341,0.00087400497,0.0055128066,0.26996967],"study_design_scores_gemma":[0.0000025229454,0.000015577258,0.00081492803,0.000005693277,0.00001010723,0.000017004508,0.0000046095497,0.997707,0.0010521616,0.00022520151,0.00014050359,0.000004599375],"about_ca_topic_score_codex":0.021309404,"about_ca_topic_score_gemma":0.018687332,"teacher_disagreement_score":0.021309404,"about_ca_system_score_codex":0.0007908263,"about_ca_system_score_gemma":0.00055811944,"threshold_uncertainty_score":0.042370737},"labels":[],"label_agreement":null},{"id":"W4309819708","doi":"10.1149/ma2022-023356mtgabs","title":"Understanding Li-Ion Cell Internal Short Circuit during Nail Penetration By Simultaneous in Situ Measurement of Local Current, Resistance and Temperature","year":2022,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Thermocouple; Materials science; Penetration (warfare); Short circuit; Thermal runaway; Voltage; Internal resistance; Current (fluid); Penetration depth; Composite material; Thermal resistance; Contact resistance; FOIL method; Mechanics; Nuclear engineering; Electrical engineering; Power (physics); Optics; Heat transfer; Engineering; Thermodynamics","score_opus":0.03515208175227329,"score_gpt":0.24440369311805432,"score_spread":0.20925161136578102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309819708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9380531,0.004431946,0.05196451,0.000293761,0.00015393435,0.00012560474,0.0011907929,0.0011338535,0.0026524735],"genre_scores_gemma":[0.98691106,0.0012451605,0.010309845,0.00012385295,0.000034980334,0.000082514554,0.00031686283,0.00007328575,0.0009024185],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997825,0.000010113644,0.000010613856,0.00007097921,0.00009371203,0.000032168566],"domain_scores_gemma":[0.9997142,0.00006194302,0.00009324884,0.00003712318,0.00007420215,0.000019300696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020682636,0.0006275277,0.0004883482,0.0004324484,0.00025249203,0.00048852,0.00055964716,0.000719959,0.0012889415],"category_scores_gemma":[0.00037961954,0.00030261805,0.00025559086,0.00037074214,0.0006438,0.0009790745,0.0003337624,0.0010553825,0.0004899696],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055938206,0.000020608408,0.001411596,0.00015204451,0.0000057727393,0.00012712422,0.00011067118,0.00025761532,0.9938552,0.00009709212,0.00012782567,0.0037784735],"study_design_scores_gemma":[0.000007289987,0.00017573813,0.011173099,0.000014832141,0.000016113576,0.00027306317,0.0001888969,0.0069235857,0.97973126,0.00023886164,0.0012399339,0.000017289387],"about_ca_topic_score_codex":0.00068988797,"about_ca_topic_score_gemma":0.0011203277,"teacher_disagreement_score":0.0012889415,"about_ca_system_score_codex":0.00056349137,"about_ca_system_score_gemma":0.00017863135,"threshold_uncertainty_score":0.004311979},"labels":[],"label_agreement":null},{"id":"W4309837901","doi":"10.1149/ma2022-023206mtgabs","title":"Towards a Better Understanding of Redox Shuttle Generation in Lfp/Graphite and NMC811/Graphite Cells By Systematic Investigation of Different Electrolyte Additives","year":2022,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke; Dalhousie University","funders":"","keywords":"Electrolyte; Ethylene carbonate; Graphite; Dimethyl carbonate; FOIL method; Materials science; Inorganic chemistry; Chemistry; Chemical engineering; Electrode; Organic chemistry; Methanol; Composite material","score_opus":0.019944794000966475,"score_gpt":0.22664703186574434,"score_spread":0.20670223786477787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309837901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97868687,0.01009174,0.00905847,0.00016575937,0.000030098026,0.00007516191,0.00059000665,0.00010878254,0.0011930272],"genre_scores_gemma":[0.9830466,0.004265474,0.011590975,0.00005836178,0.000017585697,0.00006477828,0.00043055258,0.00002368595,0.00050208165],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997775,0.000033279743,0.000018349889,0.000059251,0.00008349525,0.00002806806],"domain_scores_gemma":[0.9997441,0.000103240425,0.000053856274,0.000026588958,0.000053270167,0.000018943483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002963445,0.00049168203,0.00043704084,0.00045937838,0.00023698906,0.00040139686,0.00041900872,0.00062377966,0.0006650606],"category_scores_gemma":[0.000560089,0.0001647139,0.000266422,0.00041232008,0.0003478203,0.00058751163,0.0002373545,0.00081841776,0.00013593935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004202273,0.000023507735,0.00045023847,0.00021806896,0.000007805299,0.00008619906,0.000039884446,0.00011964473,0.9953685,0.00012545538,0.0000260295,0.0034927274],"study_design_scores_gemma":[0.0000017464022,0.00011461818,0.001993533,0.000011632553,0.000008497177,0.000104272796,0.00002672859,0.00078314013,0.9960776,0.000050698065,0.000820894,0.000006627979],"about_ca_topic_score_codex":0.00043573146,"about_ca_topic_score_gemma":0.0006558854,"teacher_disagreement_score":0.0006650606,"about_ca_system_score_codex":0.00031446735,"about_ca_system_score_gemma":0.00016970275,"threshold_uncertainty_score":0.0022816658},"labels":[],"label_agreement":null},{"id":"W4310170613","doi":"10.18280/isi.270520","title":"A Novel Method for Breakdown Prediction of Vehicle Clutch Using Multiple Linear Regression","year":2022,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Clutch; Automotive engineering; Transmission (telecommunications); Torque converter; Torque; Brake; Process (computing); Computer science; Automatic transmission; Engineering","score_opus":0.034761180494083166,"score_gpt":0.2920906441022005,"score_spread":0.2573294636081173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310170613","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009911972,0.00014369233,0.9873204,0.000047783953,0.00004417962,0.000037703085,0.0001019708,0.0019100207,0.00048239148],"genre_scores_gemma":[0.41685802,0.00052460545,0.57544297,0.000085682455,0.0001156791,0.0002797794,0.0007575239,0.00030427572,0.005631389],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940956,0.000109814944,0.000039463503,0.0002165289,0.00016941872,0.000055269105],"domain_scores_gemma":[0.9993088,0.0002456866,0.00011426435,0.00005057618,0.00025610297,0.000024515935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007549195,0.0011950207,0.0010122518,0.0012478722,0.00039065507,0.00070653856,0.0011740536,0.00075322395,0.0022914796],"category_scores_gemma":[0.002026306,0.0004938076,0.0009982898,0.00091576687,0.00018075127,0.0008317267,0.0005118884,0.0014437862,0.0017354328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002521538,0.00025984255,0.007313462,0.00022054296,0.00020926756,0.00022928105,0.000116362804,0.27186298,0.035495974,0.0017884573,0.0034394928,0.6788122],"study_design_scores_gemma":[0.0000063318444,0.00004169519,0.00094700465,0.0000060348916,0.00001331985,0.000035723155,0.000011406693,0.99545974,0.0025621043,0.00020628191,0.000697517,0.000012832708],"about_ca_topic_score_codex":0.0074338983,"about_ca_topic_score_gemma":0.004916621,"teacher_disagreement_score":0.0074338983,"about_ca_system_score_codex":0.00037190533,"about_ca_system_score_gemma":0.00080508145,"threshold_uncertainty_score":0.014781237},"labels":[],"label_agreement":null},{"id":"W4310470571","doi":"10.1109/ecce50734.2022.9947749","title":"Deep Neural Network-based Black-box Modeling of Power Electronic Converters Using Transfer Learning","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Energy Conversion Congress and Exposition (ECCE)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; École de Technologie Supérieure","funders":"","keywords":"Black box; Artificial neural network; Computer science; Converters; Transfer of learning; Deep learning; Power (physics); Artificial intelligence; Physics","score_opus":0.009380446613086107,"score_gpt":0.21513234128146538,"score_spread":0.2057518946683793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310470571","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04202648,0.0002939247,0.9509164,0.00015079702,0.000039097118,0.00004675396,0.00011116828,0.0010794665,0.005335838],"genre_scores_gemma":[0.9298247,0.00029059386,0.064238735,0.000058616904,0.000014065803,0.00016423251,0.00019012971,0.00008902799,0.0051299618],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999895,0.000029289533,0.0000066784837,0.000022023629,0.000034178334,0.000012769793],"domain_scores_gemma":[0.9998258,0.00008772366,0.000017680617,0.000020617066,0.00004187567,0.0000064005153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003319495,0.00058201206,0.00053238764,0.00019816228,0.00024612417,0.0005490313,0.0010089326,0.00063054415,0.0024873351],"category_scores_gemma":[0.0006082744,0.00032270467,0.0005093922,0.0002569741,0.00038721305,0.0010472469,0.00039115534,0.0009777104,0.00041174938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015244048,0.000012241509,0.00011179423,0.000021684165,0.000010587821,0.000018627075,0.000014568935,0.98790735,0.0015030894,0.0013965779,0.00013554103,0.008852676],"study_design_scores_gemma":[5.174672e-7,0.0000028209338,0.000013776279,0.0000010214036,7.122445e-7,0.0000015141939,5.13474e-7,0.99934775,0.00030074484,0.0002693364,0.000060694183,6.180804e-7],"about_ca_topic_score_codex":0.0058076014,"about_ca_topic_score_gemma":0.0044058715,"teacher_disagreement_score":0.0058076014,"about_ca_system_score_codex":0.0006882354,"about_ca_system_score_gemma":0.00062459114,"threshold_uncertainty_score":0.011547625},"labels":[],"label_agreement":null},{"id":"W4310908162","doi":"10.18280/jesa.550507","title":"Energy Management of a Hybrid Generation System Based on Wind Turbine Coupled with a Battery/Supercapacitor","year":2022,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Supercapacitor; Wind power; Battery (electricity); Automotive engineering; Turbine; Energy storage; Power (physics); Energy management; Wind speed; Voltage; Hybrid power; Electrical engineering; Computer science; Energy (signal processing); Engineering; Mechanical engineering; Meteorology","score_opus":0.015240502614510716,"score_gpt":0.22298125500938681,"score_spread":0.2077407523948761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310908162","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40809423,0.0011376842,0.5748944,0.000249679,0.00015125373,0.00016141463,0.00014274899,0.0011598569,0.014008733],"genre_scores_gemma":[0.9866954,0.00011607122,0.010794443,0.000018659466,0.00001480628,0.000033658063,0.000024312962,0.000010822881,0.0022917897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999454,0.000011961199,0.0000049205178,0.000014474763,0.000016637772,0.0000065956615],"domain_scores_gemma":[0.9999565,0.000010391193,0.000007645249,0.000006333669,0.0000137527895,0.000005436987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000088715555,0.0002941579,0.00030517112,0.00015011727,0.00032156406,0.0004432531,0.0003902754,0.00026052204,0.0014206222],"category_scores_gemma":[0.000075624936,0.00011434918,0.00017920267,0.00016444837,0.00015723388,0.00038803392,0.00020588547,0.00021582878,0.00023128118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078501063,0.00028724672,0.0048327395,0.0005835009,0.00029340433,0.0020616758,0.0002334631,0.45689645,0.27748856,0.008050143,0.0032717467,0.24521606],"study_design_scores_gemma":[0.00005413831,0.00042586713,0.0021174415,0.000016859223,0.000080782396,0.0002712738,0.00006321573,0.9700419,0.02108424,0.0022843273,0.0035378952,0.000021989224],"about_ca_topic_score_codex":0.00069578394,"about_ca_topic_score_gemma":0.0017859839,"teacher_disagreement_score":0.0014206222,"about_ca_system_score_codex":0.0001307395,"about_ca_system_score_gemma":0.000139948,"threshold_uncertainty_score":0.004752457},"labels":[],"label_agreement":null},{"id":"W4310969401","doi":"10.1109/mele.2022.3211108","title":"A Comparison of Three Strategies: Electric vehicles battery cooling strategies and use of nanomaterial for performance enhancement","year":2022,"lang":"en","type":"article","venue":"IEEE Electrification Magazine","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Battery (electricity); Durability; Range (aeronautics); Energy density; Lithium (medication); Automotive engineering; Power density; Materials science; Sensitivity (control systems); Power (physics); Electrical engineering; Engineering physics; Engineering; Electronic engineering; Composite material","score_opus":0.045900436809708504,"score_gpt":0.2994198461021617,"score_spread":0.2535194092924532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310969401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6706032,0.11743485,0.11668837,0.0016160625,0.0021388892,0.00081210217,0.0011040829,0.0012651783,0.08833724],"genre_scores_gemma":[0.88140684,0.03558075,0.06201524,0.00066070235,0.00014807875,0.0005605793,0.00075526105,0.00028342556,0.018589254],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99969685,0.000027155284,0.000027460397,0.00007547287,0.00012003386,0.00005317568],"domain_scores_gemma":[0.9997465,0.0000635778,0.000035407407,0.000038822844,0.00009679695,0.000018890021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046080834,0.00075317407,0.00049149344,0.00061719236,0.00036924117,0.00090455706,0.00076526206,0.0007525331,0.0029537124],"category_scores_gemma":[0.00083884184,0.00021556679,0.0006023323,0.0005436137,0.0002609449,0.0016710066,0.00046134106,0.00044664202,0.0010671894],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087607995,0.00047837658,0.0011977243,0.0041638487,0.00014575996,0.00022954324,0.00020676779,0.0025859275,0.7414551,0.007778812,0.003864679,0.23701732],"study_design_scores_gemma":[0.000085769956,0.0019256178,0.002606974,0.00018525426,0.00026663134,0.00055322645,0.00021052666,0.006196897,0.9158858,0.0010264008,0.070979066,0.00007776847],"about_ca_topic_score_codex":0.0006755779,"about_ca_topic_score_gemma":0.0012114351,"teacher_disagreement_score":0.0029537124,"about_ca_system_score_codex":0.0003071539,"about_ca_system_score_gemma":0.00041397146,"threshold_uncertainty_score":0.009881139},"labels":[],"label_agreement":null},{"id":"W4310970459","doi":"10.1109/iecon49645.2022.9968504","title":"Converter Topology Comparison for a Two-Stage Level-2 Onboard Charger in 800-V EV Powertrains","year":2022,"lang":"en","type":"article","venue":"IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Powertrain; Topology (electrical circuits); Battery charger; Automotive engineering; Electrical engineering; Computer science; Physics; Engineering; Torque; Battery (electricity); Power (physics)","score_opus":0.08400018594086861,"score_gpt":0.31439873918825784,"score_spread":0.23039855324738923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310970459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8374847,0.0017376293,0.06899226,0.00021728622,0.00019488484,0.0003581221,0.000717393,0.0009276374,0.08937007],"genre_scores_gemma":[0.9874085,0.000377179,0.0067868563,0.00002601297,0.000008991874,0.000048900118,0.0002584358,0.0000429036,0.005042277],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9998011,0.00004453181,0.00001540958,0.00003053533,0.00008309091,0.00002540605],"domain_scores_gemma":[0.99987936,0.000025683232,0.000010799971,0.000017009677,0.00005559765,0.000011547517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024203036,0.00044530863,0.0004819069,0.00064373435,0.00027162916,0.0012348908,0.0006169451,0.00043503923,0.0065841996],"category_scores_gemma":[0.00032317234,0.00012428366,0.0005410085,0.00046196638,0.00013392809,0.00063782313,0.00020558944,0.00033076265,0.0010591858],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004235305,0.0009313961,0.00903325,0.0035007175,0.0005096208,0.00180022,0.0008052341,0.2542786,0.26990148,0.016040733,0.009555869,0.42940766],"study_design_scores_gemma":[0.00054626924,0.0110824695,0.03829542,0.00048653933,0.0010620158,0.0041820873,0.0019956501,0.506051,0.3417348,0.0074992497,0.086817384,0.00024709932],"about_ca_topic_score_codex":0.001041066,"about_ca_topic_score_gemma":0.0016668942,"teacher_disagreement_score":0.0065841996,"about_ca_system_score_codex":0.00038411116,"about_ca_system_score_gemma":0.00025466844,"threshold_uncertainty_score":0.02202636},"labels":[],"label_agreement":null},{"id":"W4311082506","doi":"10.1002/aenm.202270189","title":"Aging‐Driven Composition and Distribution Changes of Electrolyte and Graphite Anode in 18650‐Type Li‐Ion Batteries (Adv. Energy Mater. 45/2022)","year":2022,"lang":"en","type":"article","venue":"Advanced Energy Materials","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Electrolyte; Materials science; Lithium (medication); Anode; Battery (electricity); Decomposition; Chemical engineering; Lithium-ion battery; Degradation (telecommunications); Internal resistance; Ion; Differential scanning calorimetry; Graphite; Calorimeter (particle physics); Composite material; Organic chemistry; Chemistry; Thermodynamics; Electrode; Electrical engineering; Physical chemistry","score_opus":0.005810223237719265,"score_gpt":0.221393827295049,"score_spread":0.21558360405732974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311082506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996506,0.0011111902,0.00096548966,0.0000445072,0.000031068248,0.000009173865,0.00020318637,0.00004245931,0.0010869178],"genre_scores_gemma":[0.9976306,0.0004975194,0.00049659295,0.000031075615,0.0000049700366,0.0000059808685,0.00021991963,0.000013692566,0.0010996485],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999275,0.000007357489,0.0000057754764,0.000020962016,0.000025208881,0.0000132664745],"domain_scores_gemma":[0.9999248,0.000014701927,0.000020662888,0.000008126085,0.000024572304,0.0000071646004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016659654,0.0001723854,0.0001543098,0.00031647462,0.00019690846,0.00037474223,0.00020411379,0.00027410165,0.0005634352],"category_scores_gemma":[0.00027236305,0.0001805635,0.00017904709,0.0002407131,0.0003469725,0.00033928012,0.00013757328,0.00019686922,0.00016493707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040618554,0.000030795643,0.0043684305,0.00006889144,0.0000136072495,0.00021774486,0.00013511257,0.0005278892,0.98430365,0.00023502084,0.00015100001,0.009541534],"study_design_scores_gemma":[0.0000070069436,0.00014299911,0.034387637,0.000008035294,0.000025168252,0.00022639787,0.00009665014,0.0025353956,0.9606956,0.0001124884,0.001748138,0.000014403899],"about_ca_topic_score_codex":0.0015482428,"about_ca_topic_score_gemma":0.0016320577,"teacher_disagreement_score":0.0015482428,"about_ca_system_score_codex":0.00036765073,"about_ca_system_score_gemma":0.00020891875,"threshold_uncertainty_score":0.0030784607},"labels":[],"label_agreement":null},{"id":"W4311628394","doi":"10.3390/en15239142","title":"Tabular Open Circuit Voltage Modelling of Li-Ion Batteries for Robust SOC Estimation","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"State of charge; Parametric statistics; Rounding; Robustness (evolution); Voltage; Equivalent circuit; Battery (electricity); Metric (unit); Polynomial; Polynomial and rational function modeling; Computer science; Engineering; Electronic engineering; Electrical engineering; Mathematics","score_opus":0.06162409223656544,"score_gpt":0.27062064058331103,"score_spread":0.20899654834674558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311628394","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02547691,0.00076336134,0.9594245,0.000130348,0.00010247536,0.00009495153,0.0009704695,0.001806915,0.011230032],"genre_scores_gemma":[0.8690385,0.0011409558,0.120157234,0.00010369196,0.000052410393,0.000275779,0.00146861,0.00031965194,0.0074431533],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970204,0.0000752158,0.000025457228,0.000042523687,0.00012595952,0.000028773733],"domain_scores_gemma":[0.99940705,0.00025168926,0.000073029594,0.000095036674,0.00016444623,0.000008738867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004195121,0.0006530125,0.0004459836,0.0005133988,0.00024757395,0.001317941,0.0012467917,0.0006680195,0.005908161],"category_scores_gemma":[0.002459902,0.00021952744,0.0005186393,0.0008043212,0.00027466042,0.0010290821,0.000412357,0.0006654054,0.0012600559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048816848,0.000012662399,0.00039184184,0.0001255432,0.000010181258,0.000046681693,0.00003776089,0.95835614,0.0039701276,0.008476305,0.0011269735,0.027396983],"study_design_scores_gemma":[0.0000019582812,0.00001594283,0.00007042394,0.000008934037,0.0000029939754,0.000017461212,0.0000074864624,0.9938694,0.0019613795,0.002108398,0.0019312602,0.0000042085694],"about_ca_topic_score_codex":0.0032908064,"about_ca_topic_score_gemma":0.0034491494,"teacher_disagreement_score":0.005908161,"about_ca_system_score_codex":0.00062224147,"about_ca_system_score_gemma":0.0006076985,"threshold_uncertainty_score":0.019764781},"labels":[],"label_agreement":null},{"id":"W4311641824","doi":"","title":"Reduced Model for Fast Simulation of a Lithium-Ion Battery Pack Taking Into Account Current and State of Charge Dispersion","year":2022,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Current (fluid); State of charge; Lithium (medication); Ion; Charge (physics); Dispersion (optics); Battery (electricity); Materials science; State (computer science); Electrical engineering; Computer science; Physics; Engineering; Optics; Thermodynamics; Power (physics); Algorithm; Quantum mechanics; Medicine","score_opus":0.023607012640517133,"score_gpt":0.2738266559323283,"score_spread":0.2502196432918112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311641824","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38884455,0.0006067458,0.53531224,0.0008805338,0.00033628213,0.00018543337,0.0016727548,0.0038688676,0.06829262],"genre_scores_gemma":[0.96927905,0.0001521479,0.0145766,0.00012447282,0.000038243972,0.00021388383,0.00055604894,0.0002804546,0.014779118],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990845,0.000023632054,0.0000037449581,0.0000119551,0.00003368512,0.000018581219],"domain_scores_gemma":[0.9996767,0.00015180503,0.00002066659,0.00003418789,0.00009101229,0.000025637677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017643397,0.0006303843,0.0010663845,0.00041258294,0.00062940305,0.00082333555,0.0012395533,0.0018798852,0.0082815355],"category_scores_gemma":[0.00080850994,0.0004632017,0.00089661713,0.00045913627,0.00044585357,0.000622079,0.0004764584,0.00095296506,0.0009865941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002920466,0.000015166618,0.0001684489,0.000023322498,0.000010306491,0.00004500458,0.000023968838,0.9965061,0.0008878589,0.00095695315,0.0002503224,0.0010833787],"study_design_scores_gemma":[0.0000037376021,0.000005648796,0.00003764968,0.000001251182,0.0000025618924,0.0000027997726,0.000003314422,0.9994692,0.00013321747,0.00019722545,0.00014195907,0.0000014460883],"about_ca_topic_score_codex":0.019186983,"about_ca_topic_score_gemma":0.011497831,"teacher_disagreement_score":0.019186983,"about_ca_system_score_codex":0.0007726972,"about_ca_system_score_gemma":0.0009521419,"threshold_uncertainty_score":0.03815061},"labels":[],"label_agreement":null},{"id":"W4311681014","doi":"10.22215/etd/2022-15166","title":"Design Optimization of Hybrid Battery Based Gensets","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Battery (electricity); Automotive engineering; Diesel generator; Generator (circuit theory); Computer science; Power (physics); Diesel fuel; Engineering","score_opus":0.018941746786173098,"score_gpt":0.2687355092941965,"score_spread":0.24979376250802338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311681014","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36062673,0.0009880878,0.5934898,0.00017991499,0.000114512746,0.00032335418,0.00031360768,0.00048718,0.0434768],"genre_scores_gemma":[0.97114694,0.00036663105,0.02143143,0.000032209347,0.000009667569,0.00021214971,0.000096622105,0.00003553776,0.0066686296],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998479,0.00003373657,0.000008009731,0.00003161337,0.000055425386,0.000023337483],"domain_scores_gemma":[0.99989426,0.00004214461,0.000017244545,0.000008171742,0.000030422862,0.000007702153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036619222,0.0006421063,0.0006660948,0.00045189308,0.00034640022,0.0009140008,0.0007925085,0.0005924247,0.0033717873],"category_scores_gemma":[0.00039984152,0.00043269788,0.0005343385,0.0004453362,0.00028698155,0.0005486672,0.0006935245,0.0003694501,0.00050924026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092138675,0.00002870007,0.0007472249,0.00013537839,0.000041342922,0.00013132214,0.000057457128,0.9716187,0.00807255,0.002235504,0.00024889424,0.016590768],"study_design_scores_gemma":[0.000025658841,0.00035213763,0.00065949286,0.000024103996,0.000031038227,0.00006844648,0.00008914683,0.9906901,0.0037487075,0.0019194642,0.002380115,0.000011570763],"about_ca_topic_score_codex":0.0010166444,"about_ca_topic_score_gemma":0.0020863921,"teacher_disagreement_score":0.0033717873,"about_ca_system_score_codex":0.0005187162,"about_ca_system_score_gemma":0.00045645467,"threshold_uncertainty_score":0.011279702},"labels":[],"label_agreement":null},{"id":"W4311723559","doi":"10.3390/en15239251","title":"Robust Approach to Battery Equivalent-Circuit-Model Parameter Extraction Using Electrochemical Impedance Spectroscopy","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Equivalent circuit; Noise (video); Dielectric spectroscopy; Battery (electricity); Computer science; Electrical impedance; Estimation theory; Electronic engineering; Algorithm; Voltage; Engineering; Artificial intelligence; Electrical engineering; Power (physics); Chemistry; Electrode; Physics; Electrochemistry","score_opus":0.060164238225019914,"score_gpt":0.28878346093563145,"score_spread":0.22861922271061152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311723559","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028776077,0.00013786597,0.9957474,0.000027266746,0.000009075512,0.000017543227,0.00003522255,0.0007585543,0.00038947992],"genre_scores_gemma":[0.34639436,0.0007077305,0.64740604,0.00013754856,0.000059903017,0.00026331726,0.0009389793,0.00038425176,0.0037078005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996892,0.00005497752,0.000025211097,0.000090251,0.00011743278,0.000022973536],"domain_scores_gemma":[0.999653,0.00013471492,0.000056425954,0.00005279599,0.00009516792,0.000007879265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044455533,0.0013872114,0.0009922539,0.0008739196,0.00033475822,0.00085370307,0.0010092902,0.0009487568,0.0021101737],"category_scores_gemma":[0.0018711578,0.00044247782,0.0008696793,0.00069234637,0.0002607733,0.0011080069,0.0007551278,0.0012527675,0.0015056711],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013335326,0.0001267291,0.0009855661,0.00031525773,0.000132727,0.00023322142,0.00011279551,0.4903202,0.04642028,0.005642517,0.0026698774,0.4529075],"study_design_scores_gemma":[0.000006762491,0.000032396067,0.0003769817,0.000010485044,0.00001611751,0.00010572456,0.000016336204,0.9877601,0.00743041,0.0024359357,0.0017924896,0.000016202335],"about_ca_topic_score_codex":0.002458005,"about_ca_topic_score_gemma":0.0023468246,"teacher_disagreement_score":0.002458005,"about_ca_system_score_codex":0.0003518048,"about_ca_system_score_gemma":0.00067515887,"threshold_uncertainty_score":0.007059276},"labels":[],"label_agreement":null},{"id":"W4311773313","doi":"10.1016/j.est.2022.106265","title":"Pack-level performance of electric vehicle batteries in second-life electricity grid energy services","year":2022,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Battery (electricity); Automotive engineering; Energy storage; Battery pack; Electric-vehicle battery; Electricity; Electric vehicle; Electrical engineering; Internal resistance; Depth of discharge; Engineering; Computer science; Simulation; Power (physics)","score_opus":0.011183068514117309,"score_gpt":0.2162308742874156,"score_spread":0.2050478057732983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311773313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99585354,0.00018156231,0.00091181195,0.000059617694,0.000024999614,0.000005936038,0.0004810285,0.00018479546,0.0022967088],"genre_scores_gemma":[0.998869,0.000021606502,0.000056268305,0.000011521533,0.0000025157772,0.0000015070334,0.00022579516,0.000011671073,0.00080005004],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997043,0.000037232443,0.000016828262,0.000044144173,0.000070977854,0.0001264692],"domain_scores_gemma":[0.99945587,0.0001624015,0.000026489051,0.00005347385,0.00024893024,0.00005297398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002903161,0.00038101847,0.00055321876,0.00037829657,0.00032724687,0.0008781391,0.0005562699,0.0006400354,0.007973935],"category_scores_gemma":[0.0007797527,0.00014655839,0.00033706092,0.00058722246,0.00027428803,0.001138776,0.00041224225,0.0003511027,0.001384875],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.031609427,0.001333069,0.10526269,0.0008895521,0.00054367224,0.0021512758,0.0010550736,0.35543144,0.3571887,0.005319264,0.01705715,0.12215868],"study_design_scores_gemma":[0.00027471271,0.0067866053,0.10992241,0.00007784825,0.00026980526,0.0010449585,0.0019132633,0.55902535,0.31162527,0.002646058,0.0062827943,0.00013093947],"about_ca_topic_score_codex":0.003945343,"about_ca_topic_score_gemma":0.006282414,"teacher_disagreement_score":0.007973935,"about_ca_system_score_codex":0.0007039215,"about_ca_system_score_gemma":0.00026224207,"threshold_uncertainty_score":0.026675463},"labels":[],"label_agreement":null},{"id":"W4312100416","doi":"10.1016/j.eng.2022.10.008","title":"The Promise of Solid-State Batteries for Safe and Reliable Energy Storage","year":2022,"lang":"en","type":"article","venue":"Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Research Foundation; Canada Foundation for Innovation; Western University; Canada Research Chairs; Banting Research Foundation","keywords":"Energy storage; Solid-state; State (computer science); Computer science; Engineering; Engineering physics; Physics","score_opus":0.0074201416753351184,"score_gpt":0.22218462011560047,"score_spread":0.21476447844026536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312100416","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13136882,0.26514396,0.18821038,0.077414624,0.018245908,0.00016517438,0.0022990967,0.0017058774,0.31544614],"genre_scores_gemma":[0.7343182,0.1371777,0.033603355,0.0029448662,0.0035150521,0.0001304552,0.0012254185,0.00028721636,0.08679775],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996183,0.000036391524,0.000014526606,0.000046851605,0.00024984078,0.000034071843],"domain_scores_gemma":[0.99937963,0.00021485444,0.000031633266,0.00006251107,0.00025558824,0.000055794706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007226948,0.0004611832,0.00042922582,0.0003982364,0.0006452648,0.0020052704,0.0007715152,0.0016887931,0.008196433],"category_scores_gemma":[0.0014627882,0.00022548084,0.0003639981,0.0005680567,0.00111068,0.004446746,0.0008857922,0.0018799495,0.0035270248],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005047763,0.0001457405,0.0008332917,0.0016861956,0.000057930785,0.0003651538,0.00025128937,0.008678972,0.14758044,0.561492,0.04720974,0.23119456],"study_design_scores_gemma":[0.000049208662,0.0003527841,0.00040578842,0.00027275528,0.000045284578,0.00056206394,0.00024885387,0.023342494,0.11351007,0.28284657,0.57829845,0.00006560307],"about_ca_topic_score_codex":0.0004598502,"about_ca_topic_score_gemma":0.0007157701,"teacher_disagreement_score":0.008196433,"about_ca_system_score_codex":0.0005429713,"about_ca_system_score_gemma":0.0009392939,"threshold_uncertainty_score":0.027419806},"labels":[],"label_agreement":null},{"id":"W4312198967","doi":"10.1109/rtss55097.2022.00043","title":"Job Scheduling with Battery Recharging Constraints: Applications to UAV Flight Planning","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tardiness; Computer science; Energy consumption; Heuristics; Job shop scheduling; Scheduling (production processes); Mathematical optimization; Real-time computing; Embedded system; Engineering; Mathematics; Electrical engineering","score_opus":0.024280540858098554,"score_gpt":0.2827053277885206,"score_spread":0.25842478693042203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312198967","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2671625,0.0054708323,0.70586485,0.0032613636,0.00039574303,0.0003894972,0.0014021734,0.00065105956,0.015401932],"genre_scores_gemma":[0.8423321,0.0022339062,0.15052262,0.00022226591,0.0002508114,0.00018891711,0.00049010763,0.00016969614,0.0035894762],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999532,0.000178786,0.000023838971,0.00009059915,0.00007636435,0.00009842664],"domain_scores_gemma":[0.9968641,0.002528907,0.00023045007,0.00007230329,0.00013430706,0.00017002728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010700083,0.0013071316,0.0013058231,0.0006756049,0.0008496171,0.0011105769,0.0010549849,0.0013064842,0.003047483],"category_scores_gemma":[0.003987965,0.00049000676,0.0008408057,0.0016694766,0.0008362366,0.00095054385,0.00070702215,0.0012172706,0.0002460315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010428237,0.000059912833,0.0005441167,0.00020343153,0.000026843118,0.00012183882,0.000075874705,0.98114866,0.0008499631,0.005986954,0.0010168812,0.009861273],"study_design_scores_gemma":[0.000034859535,0.000049769482,0.000491142,0.000016970167,0.000011053699,0.00003686556,0.00009358175,0.9857076,0.00035916275,0.012007705,0.0011787061,0.000012603524],"about_ca_topic_score_codex":0.021830518,"about_ca_topic_score_gemma":0.014501133,"teacher_disagreement_score":0.021830518,"about_ca_system_score_codex":0.0014185132,"about_ca_system_score_gemma":0.0013206733,"threshold_uncertainty_score":0.043406904},"labels":[],"label_agreement":null},{"id":"W4312201494","doi":"10.3390/en16010185","title":"Review of the Li-Ion Battery, Thermal Management, and AI-Based Battery Management System for EV Application","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":121,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Battery pack; State of health; Commercialization; State of charge; Automotive engineering; Energy management; Management system; Computer science; Energy storage; Systems engineering; Engineering; Reliability engineering; Energy (signal processing); Power (physics); Operations management","score_opus":0.009344548740512573,"score_gpt":0.24107683067711227,"score_spread":0.2317322819365997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312201494","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006423199,0.9909827,0.001835874,0.00036735568,0.00054721854,0.000016275035,0.00007162832,0.00002785503,0.0055087567],"genre_scores_gemma":[0.0045145275,0.9885479,0.0015719838,0.00031075714,0.00061904226,0.000020726995,0.00012117624,0.000009305399,0.0042845104],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999777,0.000027950407,0.00004001108,0.000043931588,0.00009618264,0.000014932268],"domain_scores_gemma":[0.99973685,0.00010248178,0.00003641702,0.000010581213,0.000099837314,0.000013762415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034405355,0.0007760592,0.00072206976,0.0016806088,0.00028417475,0.00089910155,0.0007708241,0.00070848415,0.005044715],"category_scores_gemma":[0.00051920686,0.00031166532,0.00059214444,0.00211143,0.00025545686,0.0015591704,0.00046622413,0.00068126,0.0020286012],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011259589,0.00012028309,0.00044013633,0.03690793,0.00013261358,0.00028709843,0.00012223555,0.0022146245,0.010375099,0.012097091,0.051132895,0.8860574],"study_design_scores_gemma":[0.0000052052355,0.00015442923,0.00074496,0.0022257988,0.00013145068,0.0007740296,0.000061472594,0.0007684474,0.002187499,0.0019435788,0.9909786,0.000024627348],"about_ca_topic_score_codex":0.001138419,"about_ca_topic_score_gemma":0.0014349772,"teacher_disagreement_score":0.005044715,"about_ca_system_score_codex":0.0004078656,"about_ca_system_score_gemma":0.0009053499,"threshold_uncertainty_score":0.01687628},"labels":[],"label_agreement":null},{"id":"W4312268861","doi":"10.2139/ssrn.4282092","title":"Design Optimization of Phase-Change Material Thermal Management Systems for Fast-Charging of Electric Vehicle Battery Modules with Cylindrical Lithium-Ion Cells","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Lithium (medication); Battery (electricity); Materials science; Ion; Phase-change material; Lithium-ion battery; Thermal; Electric vehicle; Phase (matter); Thermal management of electronic devices and systems; Automotive engineering; Nuclear engineering; Mechanical engineering; Engineering; Chemistry; Physics; Thermodynamics; Power (physics)","score_opus":0.01738798096096447,"score_gpt":0.23982632459101885,"score_spread":0.22243834363005438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312268861","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4097127,0.0012504286,0.5651407,0.0003049384,0.00010174627,0.0002432127,0.00016994988,0.0004483561,0.022627868],"genre_scores_gemma":[0.98651797,0.00015567522,0.011445663,0.000019448004,0.000008012369,0.00008359694,0.000042732456,0.000023840012,0.0017029544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988294,0.000027445687,0.0000044527787,0.000017949389,0.000042677206,0.000024542282],"domain_scores_gemma":[0.99989974,0.00003466935,0.000021483744,0.0000049175633,0.00003422214,0.0000049988157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027554118,0.00050936063,0.0005428262,0.00029727776,0.0003958258,0.0008044572,0.00057415484,0.0004176276,0.0022032023],"category_scores_gemma":[0.00033600265,0.00028514606,0.0004238292,0.00028270547,0.00023650195,0.00041356284,0.0003490311,0.00026176946,0.00025341814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018032177,0.00006798581,0.00040908085,0.0001803701,0.00003085724,0.00005751669,0.000051668172,0.9316403,0.039018683,0.0018548792,0.00049149146,0.026016753],"study_design_scores_gemma":[0.00002193865,0.00026924323,0.00047322048,0.000006007099,0.000020194531,0.00001837627,0.000035875688,0.99154073,0.006267724,0.00043462898,0.0009044138,0.000007724221],"about_ca_topic_score_codex":0.001601983,"about_ca_topic_score_gemma":0.002585643,"teacher_disagreement_score":0.0022032023,"about_ca_system_score_codex":0.0005457888,"about_ca_system_score_gemma":0.00063672353,"threshold_uncertainty_score":0.0073704123},"labels":[],"label_agreement":null},{"id":"W4312280374","doi":"10.1109/tte.2022.3232560","title":"A Dual-Active Bridge Converter With a Wide Output Voltage Range (200–1000 V) for Ultrafast DC-Connected EV Charging Stations","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Rockwell Automation (Canada); McMaster University","funders":"","keywords":"Converters; Voltage; Range (aeronautics); Electrical engineering; Forward converter; Ćuk converter; Buck–boost converter; Computer science; Boost converter; Electronic engineering; Engineering; Topology (electrical circuits)","score_opus":0.017311924874613624,"score_gpt":0.2425771535841315,"score_spread":0.22526522870951787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312280374","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.069057554,0.0011475304,0.8935771,0.00024043498,0.00020073238,0.00015641807,0.0001124204,0.0013219656,0.034185935],"genre_scores_gemma":[0.9228301,0.00055064633,0.06703376,0.00014419151,0.00005228185,0.000114232615,0.00012834971,0.00006580165,0.009080502],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982244,0.00002509427,0.000012895132,0.00003759904,0.00007949854,0.000022555969],"domain_scores_gemma":[0.99992096,0.000009182944,0.000008465131,0.000014195396,0.000038170027,0.000009077536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021264088,0.00032262038,0.0003611534,0.00042760797,0.00033206912,0.00071825663,0.0010572376,0.0004019917,0.0037632445],"category_scores_gemma":[0.00019072658,0.000163988,0.0003032271,0.00040437738,0.00019244831,0.0009224983,0.00042440713,0.0006452857,0.0013742684],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003714355,0.00030021317,0.0012148548,0.00086313125,0.00006542207,0.0004275088,0.00023467164,0.019503852,0.39193314,0.040876996,0.006361009,0.53784776],"study_design_scores_gemma":[0.0001860063,0.0012601147,0.0030052408,0.00023896257,0.00015519695,0.004369232,0.000270555,0.5135342,0.33576536,0.022372982,0.1187209,0.00012126468],"about_ca_topic_score_codex":0.0002663849,"about_ca_topic_score_gemma":0.00048469473,"teacher_disagreement_score":0.0037632445,"about_ca_system_score_codex":0.0002938983,"about_ca_system_score_gemma":0.00030458832,"threshold_uncertainty_score":0.012589335},"labels":[],"label_agreement":null},{"id":"W4312552338","doi":"10.1109/tvt.2022.3226686","title":"Higher Order Sliding-Mode Observers for State-of-Charge and State-of-Health Estimation of Lithium-Ion Batteries","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Control theory (sociology); State of charge; Observer (physics); Battery (electricity); State of health; State observer; Identification (biology); Engineering; Mode (computer interface); State (computer science); Computer science; Control engineering; Algorithm; Control (management); Power (physics); Artificial intelligence; Nonlinear system","score_opus":0.02063151401573239,"score_gpt":0.28098647276409133,"score_spread":0.26035495874835896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312552338","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012894212,0.0002805843,0.9852012,0.000037941823,0.000048678794,0.00002356302,0.000014874253,0.0003294446,0.0011694024],"genre_scores_gemma":[0.927544,0.0003802215,0.06958641,0.000046744342,0.000048542683,0.00010030211,0.00007581995,0.000027153452,0.002190712],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996959,0.00006719568,0.00003128384,0.000052353313,0.00012611116,0.000027102531],"domain_scores_gemma":[0.99962735,0.00014237434,0.00006273513,0.000049833026,0.00010540119,0.000012381871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048367915,0.00050568377,0.00048576458,0.00032880518,0.00018201709,0.00051119574,0.00055294146,0.00036233143,0.001019818],"category_scores_gemma":[0.0010020211,0.00016831636,0.00039339028,0.00020670077,0.00030422903,0.0005745553,0.00044394957,0.0007065803,0.00017156091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041870066,0.000094149495,0.0027175737,0.0006153509,0.00010853637,0.00024774592,0.0006008654,0.5060854,0.07834569,0.017179262,0.0017967256,0.39178994],"study_design_scores_gemma":[0.000011972787,0.00010975229,0.0005399184,0.000012502962,0.000013159672,0.000033416163,0.000019249006,0.9901348,0.0061637834,0.001371075,0.0015789821,0.000011438577],"about_ca_topic_score_codex":0.0015904284,"about_ca_topic_score_gemma":0.001545712,"teacher_disagreement_score":0.0015904284,"about_ca_system_score_codex":0.00032008672,"about_ca_system_score_gemma":0.0004098145,"threshold_uncertainty_score":0.003411591},"labels":[],"label_agreement":null},{"id":"W4312555543","doi":"10.1109/jproc.2022.3216362","title":"Charging Infrastructure and Grid Integration for Electromobility","year":2022,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":205,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Comisión Nacional de Investigación Científica y Tecnológica; Agencia Nacional de Investigación y Desarrollo; Universidad de los Andes; Isaac Newton Trust; Duke Energy","keywords":"Grid; Computer science; Business; Mathematics","score_opus":0.008148304654986394,"score_gpt":0.22957326311260548,"score_spread":0.2214249584576191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312555543","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054281015,0.028909696,0.39516476,0.025246773,0.0021735672,0.00022237084,0.00071282656,0.0029232143,0.4903657],"genre_scores_gemma":[0.80885005,0.032850422,0.091927215,0.0019855625,0.0008162686,0.00013776672,0.0014003257,0.0004208981,0.061611395],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997372,0.000054648997,0.000011669236,0.00003747094,0.000097128104,0.00006180401],"domain_scores_gemma":[0.99981517,0.000028319984,0.0000148021945,0.000038406495,0.0000752884,0.000028020333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036555048,0.00042800137,0.00022387781,0.0007062195,0.00061714917,0.0026057928,0.00073314406,0.0010018145,0.0077801463],"category_scores_gemma":[0.0007802578,0.00021374566,0.0002755128,0.0015856834,0.00052186206,0.0047739237,0.0024056195,0.0011076797,0.0021966728],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039761413,0.00004624685,0.0014822164,0.0002797129,0.000027875858,0.0002106422,0.0001864452,0.017153911,0.0022932312,0.68970865,0.026370164,0.2622013],"study_design_scores_gemma":[0.000013331426,0.00006051729,0.0015649466,0.00034700343,0.000033220596,0.00048328607,0.0006589281,0.03757752,0.0026269157,0.2984713,0.65813,0.000033006738],"about_ca_topic_score_codex":0.002309639,"about_ca_topic_score_gemma":0.0031886764,"teacher_disagreement_score":0.0077801463,"about_ca_system_score_codex":0.00125223,"about_ca_system_score_gemma":0.0010881372,"threshold_uncertainty_score":0.026027143},"labels":[],"label_agreement":null},{"id":"W4312626715","doi":"10.1109/itec-india53713.2021.9932524","title":"Single-Phase Bridgeless Cuk-Derived DC-DC Converter for Vehicle-to-Vehicle Charge Transfer","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Ćuk converter; Forward converter; Boost converter; Flyback converter; Buck–boost converter; Electric vehicle; Voltage; Electrical engineering; Computer science; Electronic engineering; Engineering; Power (physics); Physics; Thermodynamics","score_opus":0.034671463057859606,"score_gpt":0.28766369127076163,"score_spread":0.252992228212902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312626715","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.089945465,0.0011487344,0.87152207,0.00021071399,0.00019921844,0.00030418957,0.0001452846,0.0011968117,0.035327494],"genre_scores_gemma":[0.9631853,0.00043593385,0.027505454,0.00007302607,0.000022954406,0.0000893628,0.00012227816,0.00004375374,0.008521974],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977845,0.000026447311,0.000009461428,0.000039550046,0.00012782907,0.000018217926],"domain_scores_gemma":[0.999853,0.00001564798,0.000010884452,0.000017079645,0.00009759734,0.000005748331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018118437,0.00028649822,0.000448171,0.00028672474,0.00047025093,0.0009906131,0.000995744,0.00037302705,0.00355935],"category_scores_gemma":[0.00024635426,0.00015740444,0.00029464375,0.00030436335,0.00021188211,0.00064350344,0.00024041631,0.0004932852,0.0009585087],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040995365,0.00038913405,0.0025035157,0.0015533864,0.00017030416,0.0007079319,0.00037529698,0.15326163,0.3577442,0.029891692,0.008684645,0.44430828],"study_design_scores_gemma":[0.000052851905,0.00070853723,0.002319978,0.000110134875,0.000081140235,0.0011791831,0.00016811509,0.81482536,0.14137715,0.0044692745,0.03465434,0.000054025382],"about_ca_topic_score_codex":0.0011112372,"about_ca_topic_score_gemma":0.0017691827,"teacher_disagreement_score":0.00355935,"about_ca_system_score_codex":0.00055735337,"about_ca_system_score_gemma":0.0006475476,"threshold_uncertainty_score":0.01190722},"labels":[],"label_agreement":null},{"id":"W4312744427","doi":"10.1109/tte.2022.3212024","title":"A Novel Hybrid Physics-Based and Data-Driven Approach for Degradation Trajectory Prediction in Li-Ion Batteries","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Science Fund for Distinguished Young Scholars of Chongqing; National Natural Science Foundation of China","keywords":"Trajectory; Ion; Degradation (telecommunications); Computer science; Materials science; Physics; Quantum mechanics","score_opus":0.03707162791321735,"score_gpt":0.2649988810943184,"score_spread":0.22792725318110105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312744427","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052610546,0.0006003484,0.9436584,0.00018931941,0.00005606244,0.00004813593,0.00014513795,0.0012428546,0.0014492171],"genre_scores_gemma":[0.8670506,0.0003989314,0.12893665,0.00015519353,0.0000677658,0.00016994294,0.00047540746,0.00008286703,0.0026625704],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988925,0.00001247541,0.00000768455,0.000034846857,0.000041397812,0.000014462387],"domain_scores_gemma":[0.99979943,0.000060335384,0.000026916981,0.00001925399,0.00007684963,0.000017188828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002886293,0.0006587665,0.00056798983,0.0005542503,0.00025550363,0.00047487355,0.0012120359,0.00060504663,0.0006157221],"category_scores_gemma":[0.000758485,0.0003866037,0.00058235665,0.00046981813,0.00024119437,0.0009776694,0.00062738894,0.0006305333,0.00018860116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010583959,0.0001258157,0.002672518,0.00012436045,0.00006773906,0.0001589874,0.00009340105,0.84366673,0.014408692,0.001996814,0.0012637167,0.13531542],"study_design_scores_gemma":[0.000001394292,0.0000073016113,0.00011169867,0.0000012031371,0.0000022218107,0.0000067470287,0.0000021946255,0.9988525,0.0006005183,0.00031266644,0.00009893585,0.00000255271],"about_ca_topic_score_codex":0.007403925,"about_ca_topic_score_gemma":0.0064931065,"teacher_disagreement_score":0.007403925,"about_ca_system_score_codex":0.0004021688,"about_ca_system_score_gemma":0.00084462384,"threshold_uncertainty_score":0.014721632},"labels":[],"label_agreement":null},{"id":"W4312799825","doi":"10.1109/tie.2022.3215833","title":"An EV-Scale Demonstration of In-Situ Battery Electrochemical Impedance Spectroscopy and BMS-Limited Pack Performance Analysis","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Ontario Centre of Innovation","keywords":"Dielectric spectroscopy; Battery pack; Battery (electricity); Electrical impedance; State of charge; Electrical engineering; Electronic engineering; Noise (video); Equivalent circuit; Engineering; Voltage; Analytical Chemistry (journal); Power (physics); Computer science; Physics; Chemistry; Electrode; Electrochemistry; Artificial intelligence","score_opus":0.015456566581348067,"score_gpt":0.2540207344929074,"score_spread":0.23856416791155935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312799825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9332068,0.00008776016,0.06140355,0.00018383315,0.000044574474,0.000052867006,0.00078500883,0.001024513,0.0032110123],"genre_scores_gemma":[0.98939425,0.000044935136,0.008422012,0.000036580605,0.0000058158953,0.000024542596,0.00024715788,0.000033471904,0.0017912316],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998078,0.000022620563,0.000010892288,0.000035992936,0.00010566147,0.000017014527],"domain_scores_gemma":[0.99978894,0.00004448097,0.000021857091,0.000052624,0.00007934795,0.000012806598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002541896,0.0002982708,0.0002256931,0.00017663259,0.00014277342,0.0002774479,0.00051950564,0.00037353663,0.0013775922],"category_scores_gemma":[0.00043487898,0.00010174997,0.00017696606,0.00021733792,0.00019219634,0.00039665893,0.00039189437,0.00026326242,0.00045180993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029872174,0.00016508957,0.007227626,0.00016461323,0.000030303681,0.0005276316,0.00030673368,0.004700371,0.9515698,0.0005700305,0.001475554,0.03296368],"study_design_scores_gemma":[0.000022547956,0.00040629448,0.01108098,0.0000061282435,0.000015774673,0.00036304057,0.0001438508,0.0316646,0.9520681,0.00028151166,0.0039329175,0.000014265371],"about_ca_topic_score_codex":0.00044730416,"about_ca_topic_score_gemma":0.00071116764,"teacher_disagreement_score":0.0013775922,"about_ca_system_score_codex":0.00014227588,"about_ca_system_score_gemma":0.000083134866,"threshold_uncertainty_score":0.0046084523},"labels":[],"label_agreement":null},{"id":"W4313050519","doi":"10.1109/pesgm48719.2022.9916995","title":"State-of-Charge Prediction of Degrading Li-ion Batteries Using an Adaptive Machine Learning Approach","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Power &amp; Energy Society General Meeting (PESGM)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"State of charge; Kriging; Support vector machine; Random forest; Battery (electricity); Computer science; Gaussian process; Ground-penetrating radar; State of health; Linear regression; Artificial intelligence; Power (physics); Machine learning; Gaussian; Radar; Chemistry; Telecommunications","score_opus":0.036665953911982664,"score_gpt":0.255528295928862,"score_spread":0.21886234201687935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313050519","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.702965,0.0005031514,0.29282576,0.0001646432,0.00005077676,0.000037969843,0.00013911526,0.0011881158,0.0021254045],"genre_scores_gemma":[0.9922907,0.00007071839,0.007082919,0.000014795515,0.0000071990085,0.000013747446,0.00008737137,0.00000854403,0.00042411496],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991715,0.000016526668,0.000007709789,0.000022236964,0.00002240011,0.000013932972],"domain_scores_gemma":[0.99974245,0.00010601802,0.000035909154,0.000018622462,0.00008910907,0.000007891536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029532914,0.0004613793,0.0003971226,0.0003351654,0.00013336951,0.0003605438,0.00037159436,0.00037677505,0.00036175363],"category_scores_gemma":[0.0011310256,0.00014952954,0.00030103856,0.00027854834,0.00012973606,0.00035896327,0.00018445714,0.0003882763,0.00015369306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011120604,0.00008819677,0.00849108,0.00004113192,0.000041000447,0.000076635675,0.00004407789,0.9171286,0.0080116475,0.00023568017,0.00036409614,0.06536672],"study_design_scores_gemma":[9.535892e-7,0.000014908341,0.00094616663,9.79891e-7,0.000002532638,0.0000054899774,0.000003869277,0.9981902,0.00074588176,0.000054223983,0.000032722786,0.0000021570754],"about_ca_topic_score_codex":0.0064248717,"about_ca_topic_score_gemma":0.006109251,"teacher_disagreement_score":0.0064248717,"about_ca_system_score_codex":0.000248878,"about_ca_system_score_gemma":0.0002633219,"threshold_uncertainty_score":0.012774944},"labels":[],"label_agreement":null},{"id":"W4313148082","doi":"10.1109/itherm54085.2022.9899683","title":"Effect of Cell-to-Cell Thermal Imbalance and Cooling Strategy on Electric Vehicle Battery Performance and Longevity","year":2022,"lang":"en","type":"article","venue":"2022 21st IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (iTherm)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Government of Ontario","keywords":"Battery pack; Battery (electricity); Electric vehicle; Monte Carlo method; Automotive engineering; Computer science; Energy consumption; Energy (signal processing); Simulation; Electrical engineering; Engineering; Power (physics); Physics; Mathematics","score_opus":0.009580590741735258,"score_gpt":0.22161960788340784,"score_spread":0.2120390171416726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313148082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97124845,0.00019895773,0.0236551,0.00008685564,0.000017018105,0.000027764145,0.00016646972,0.0001330577,0.0044662533],"genre_scores_gemma":[0.99842477,0.000053790176,0.00083652214,0.000007652197,0.0000011555085,0.00001477741,0.000027263824,0.000008536619,0.0006256141],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999062,0.000017743392,0.0000047887265,0.000021790594,0.00002659532,0.000022943574],"domain_scores_gemma":[0.9998085,0.00009426905,0.000033627442,0.000020327181,0.00003293071,0.0000104290175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020723417,0.0003375851,0.00041781334,0.0001736976,0.00022677638,0.00045871848,0.0004021368,0.00043704288,0.0008410524],"category_scores_gemma":[0.00071609113,0.00017132878,0.000364321,0.00016046425,0.00037634862,0.00039716467,0.00028009986,0.0002664141,0.000115973744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006224888,0.00003330716,0.0016965282,0.000028883063,0.0000090984495,0.000050540748,0.0000256991,0.9810157,0.013948189,0.00034526575,0.00008065673,0.0027039254],"study_design_scores_gemma":[0.0000046239475,0.00006965111,0.00067187956,0.0000028304685,0.000008140574,0.000011710146,0.000018789997,0.992998,0.005982769,0.00008243711,0.00014399985,0.000005147953],"about_ca_topic_score_codex":0.0064976853,"about_ca_topic_score_gemma":0.0044198427,"teacher_disagreement_score":0.0064976853,"about_ca_system_score_codex":0.00054033054,"about_ca_system_score_gemma":0.00048440698,"threshold_uncertainty_score":0.012919724},"labels":[],"label_agreement":null},{"id":"W4313306865","doi":"10.1109/iccais56082.2022.9990180","title":"Optimisation of an electric bus charging strategy considering a semi-empirical battery degradation model and weather conditions","year":2022,"lang":"en","type":"article","venue":"2022 11th International Conference on Control, Automation and Information Sciences (ICCAIS)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Battery (electricity); Context (archaeology); Computer science; Electricity; Automotive engineering; Grid; Depth of discharge; Electric vehicle; Degradation (telecommunications); Public transport; Sensitivity (control systems); Reliability engineering; Transport engineering; Engineering; Telecommunications; Electrical engineering; Power (physics)","score_opus":0.05182212143814904,"score_gpt":0.32128541923696663,"score_spread":0.2694632977988176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313306865","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45432585,0.001161195,0.5122601,0.0010064954,0.000088948065,0.00025670466,0.0008643197,0.00043020328,0.029606225],"genre_scores_gemma":[0.9904917,0.00017298234,0.0063933413,0.00003453637,0.0000072459165,0.00007193915,0.00013614415,0.000025916597,0.0026662303],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997522,0.000099566634,0.0000114835875,0.000039352577,0.00004016565,0.000057212306],"domain_scores_gemma":[0.99911076,0.00062278187,0.00008677178,0.000029597542,0.0001102633,0.000039695806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071140454,0.00083654176,0.00083694514,0.00040265216,0.00027220885,0.0012462699,0.0007354905,0.0014238071,0.0022770022],"category_scores_gemma":[0.0020720353,0.00046801727,0.00076041627,0.00046332268,0.00051541673,0.0006373015,0.0006637198,0.0008722068,0.00021350979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001347682,0.0000066352663,0.00018109768,0.000014473099,0.0000053463623,0.000025253234,0.00000779134,0.9983736,0.0001989206,0.0004042312,0.00007039382,0.000698805],"study_design_scores_gemma":[0.0000048442234,0.000017884708,0.0001862611,0.0000030852605,0.000005111945,0.0000074314266,0.000011975033,0.99924386,0.00008833352,0.0003186447,0.000109495166,0.000002994335],"about_ca_topic_score_codex":0.014584087,"about_ca_topic_score_gemma":0.0068954835,"teacher_disagreement_score":0.014584087,"about_ca_system_score_codex":0.00094342587,"about_ca_system_score_gemma":0.0009412263,"threshold_uncertainty_score":0.028998435},"labels":[],"label_agreement":null},{"id":"W4313364901","doi":"10.1149/1945-7111/acaf44","title":"Identification of Redox Shuttle Generated in LFP/Graphite and NMC811/Graphite Cells","year":2022,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Dalhousie University","funders":"","keywords":"Electrolyte; Redox; Cyclic voltammetry; Chemistry; Dimethyl carbonate; Lithium (medication); Graphite; Polyethylene terephthalate; Electrochemistry; Inorganic chemistry; Chemical engineering; Electrode; Materials science; Catalysis; Organic chemistry; Physical chemistry","score_opus":0.005406324190203339,"score_gpt":0.22281052612901384,"score_spread":0.2174042019388105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313364901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99759775,0.00039698856,0.0010771301,0.00002008716,0.000008498207,0.000013306641,0.0002458244,0.00004942999,0.0005909877],"genre_scores_gemma":[0.9976089,0.00017925046,0.0012609921,0.000015453219,0.0000026952907,0.000017050526,0.00023873989,0.000012003765,0.0006648293],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997814,0.00002207542,0.000011561526,0.000054212152,0.000092066926,0.000038745417],"domain_scores_gemma":[0.9998771,0.00003117763,0.000027403865,0.000015357522,0.00003204551,0.00001689635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013523099,0.00024006696,0.0002207768,0.00053687015,0.00020995976,0.0002854164,0.00025818605,0.00042029985,0.00073878467],"category_scores_gemma":[0.0003593022,0.000091891925,0.00017810089,0.00037613988,0.00019137235,0.00025981735,0.00021599782,0.00029502096,0.00014291113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058430003,0.000008034566,0.000534611,0.000034473407,0.0000034614884,0.00008188632,0.000028804516,0.00004013136,0.9972607,0.000038770027,0.000018739023,0.0018919662],"study_design_scores_gemma":[0.0000026524003,0.00008773975,0.006640285,0.0000049305127,0.0000047669546,0.00011644386,0.000033324013,0.00044988556,0.9921578,0.000023921011,0.00047469712,0.0000036916354],"about_ca_topic_score_codex":0.00060358254,"about_ca_topic_score_gemma":0.0011218291,"teacher_disagreement_score":0.00073878467,"about_ca_system_score_codex":0.00024275812,"about_ca_system_score_gemma":0.00011822071,"threshold_uncertainty_score":0.002471447},"labels":[],"label_agreement":null},{"id":"W4313377423","doi":"10.1109/jestie.2022.3214060","title":"Model-Based Approach to Long Term Prediction of Battery Surface Temperature","year":2022,"lang":"en","type":"article","venue":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Office of Naval Research; U.S. Naval Research Laboratory; Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Reliability (semiconductor); Range (aeronautics); Heat generation; Lithium-ion battery; Computer science; Materials science; Automotive engineering; Engineering; Thermodynamics; Physics; Aerospace engineering","score_opus":0.03199226876630425,"score_gpt":0.26045775212757794,"score_spread":0.2284654833612737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313377423","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.063971706,0.00030245155,0.93076265,0.00020273129,0.00005419509,0.000035865032,0.00019433085,0.0013692267,0.0031068986],"genre_scores_gemma":[0.96845865,0.00025255908,0.028403524,0.000048190115,0.000027101563,0.000107819484,0.00024808923,0.00008190592,0.00237208],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985754,0.000029549019,0.000008783523,0.000044078995,0.00004353099,0.000016429385],"domain_scores_gemma":[0.99967813,0.00015642178,0.000038428927,0.000026225203,0.00009111394,0.000009697451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027306247,0.00063444703,0.00059165846,0.0003527551,0.00034381112,0.0007792395,0.0008393272,0.0008807267,0.001067442],"category_scores_gemma":[0.0012539936,0.000374444,0.000553726,0.00036400417,0.00027636203,0.00067506044,0.000444424,0.00094801956,0.00039466008],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014887562,0.000014897802,0.00034251894,0.00001466296,0.000012428115,0.000018913239,0.00001361324,0.9903425,0.0016277006,0.0006264758,0.00014647732,0.006824902],"study_design_scores_gemma":[7.843328e-7,0.0000035769633,0.00006119866,7.5257395e-7,0.0000013451211,0.0000021443743,0.0000010692969,0.99945015,0.00022587311,0.00019888722,0.000052608524,0.0000015999352],"about_ca_topic_score_codex":0.014209748,"about_ca_topic_score_gemma":0.008701791,"teacher_disagreement_score":0.014209748,"about_ca_system_score_codex":0.00069933117,"about_ca_system_score_gemma":0.00079315295,"threshold_uncertainty_score":0.028254092},"labels":[],"label_agreement":null},{"id":"W4313420637","doi":"10.1016/j.est.2022.106336","title":"Novel metallic separator coupled composite phase change material passive thermal design for large format prismatic battery pack","year":2022,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Phase-change material; Materials science; Battery pack; Separator (oil production); Thermal conductivity; Composite material; Thermal; Paraffin wax; Heat transfer; Composite number; Thermal conduction; Thermal energy storage; Battery (electricity); Wax; Thermodynamics","score_opus":0.03835975585549892,"score_gpt":0.28523668832061516,"score_spread":0.24687693246511624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313420637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5071316,0.00070293806,0.47114217,0.00018910518,0.00021569866,0.00008593776,0.00021643461,0.0015349071,0.018781247],"genre_scores_gemma":[0.952634,0.00011437363,0.03993152,0.00003930484,0.00002018137,0.000037284473,0.000090882575,0.00006277938,0.0070697623],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999434,0.000005054952,0.0000021929113,0.00001656115,0.000025163285,0.00000766834],"domain_scores_gemma":[0.99993384,0.0000074739414,0.000014080166,0.0000072473094,0.000031513257,0.000005875075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006859181,0.00021999952,0.000225417,0.00015637581,0.00017005327,0.0002625628,0.00081263797,0.00027231267,0.0018763284],"category_scores_gemma":[0.000072480485,0.00016157291,0.0001975533,0.0001491098,0.000112268885,0.00039512065,0.00021305893,0.00018644413,0.000676534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023330304,0.00007020476,0.00034789447,0.00014938558,0.000024229006,0.00009319683,0.00003582762,0.0107696485,0.9578137,0.001593991,0.001008205,0.027860431],"study_design_scores_gemma":[0.000046099125,0.0008618962,0.0014556337,0.000011348952,0.000055758726,0.0003330752,0.000043243224,0.22329111,0.7630457,0.00053106295,0.010302516,0.000022486684],"about_ca_topic_score_codex":0.00019156424,"about_ca_topic_score_gemma":0.00080562365,"teacher_disagreement_score":0.0018763284,"about_ca_system_score_codex":0.00019526169,"about_ca_system_score_gemma":0.00015627922,"threshold_uncertainty_score":0.0062769055},"labels":[],"label_agreement":null},{"id":"W4313535423","doi":"10.1109/ihtc56573.2022.9998369","title":"Introducing Electric Vehicles to Remote Indigenous Communities: Benefits, Barriers, and Future Prospects","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Indigenous; Business; Boosting (machine learning); Electric vehicle; Government (linguistics); Range (aeronautics); Environmental economics; Transport engineering; Engineering; Computer science; Economics","score_opus":0.007731403312833479,"score_gpt":0.22368383852456866,"score_spread":0.21595243521173518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313535423","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3577259,0.15311547,0.002393102,0.3773826,0.0018044601,0.00014135247,0.00025971292,0.000091142596,0.10708627],"genre_scores_gemma":[0.8133117,0.14255662,0.0036361995,0.01846375,0.0008359518,0.00014379773,0.00018511686,0.00002339881,0.020843454],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9990402,0.00029531438,0.000033721735,0.00007671258,0.00022470212,0.00032927768],"domain_scores_gemma":[0.99704665,0.0008585071,0.0002675956,0.000052265492,0.0008356029,0.0009395169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002178615,0.00020304967,0.00023159986,0.00035498873,0.0015744398,0.002091826,0.0008146348,0.0017416832,0.011262388],"category_scores_gemma":[0.003390257,0.00009510515,0.00027992929,0.00049840234,0.0012866533,0.0028069788,0.0013455587,0.0017617466,0.0007662479],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003769744,0.0015634443,0.05448794,0.005875485,0.00006426972,0.0041239103,0.026914472,0.00028861515,0.0036820355,0.052870918,0.04028628,0.8094657],"study_design_scores_gemma":[0.000057521913,0.0011980996,0.114189744,0.011597279,0.00022540851,0.006576897,0.23838472,0.00068300334,0.0020052015,0.038484585,0.5864285,0.00016898957],"about_ca_topic_score_codex":0.015084058,"about_ca_topic_score_gemma":0.038671076,"teacher_disagreement_score":0.015084058,"about_ca_system_score_codex":0.0012230183,"about_ca_system_score_gemma":0.0060666753,"threshold_uncertainty_score":0.037676454},"labels":[],"label_agreement":null},{"id":"W4313549844","doi":"10.1109/epec56903.2022.10000219","title":"Fast Offline Battery Capacity Estimation Approach With Performance Bounds","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Battery (electricity); Battery capacity; Voltage; Computer science; State of charge; Residual; Automotive engineering; Reuse; Capacity loss; Battery pack; Reliability engineering; Engineering; Electrical engineering; Power (physics); Algorithm","score_opus":0.01700052619549093,"score_gpt":0.21267364208729164,"score_spread":0.1956731158918007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313549844","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008876535,0.00031300817,0.98701906,0.00006152579,0.000030228523,0.000048779686,0.00007272665,0.0010423093,0.0025358617],"genre_scores_gemma":[0.7653922,0.0007913645,0.22573154,0.00014715939,0.00017288145,0.00037826094,0.0006579038,0.00039583343,0.006332791],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991738,0.0001339117,0.000042681728,0.0001716696,0.00035742458,0.000120516444],"domain_scores_gemma":[0.99831665,0.00080668955,0.00017077902,0.00017331527,0.00048089444,0.000051667655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079910294,0.0016360639,0.0013558393,0.0011715004,0.00045764018,0.0016366434,0.0011999181,0.0007847905,0.0029220756],"category_scores_gemma":[0.004581719,0.0005063499,0.00061494,0.00072759856,0.0004963604,0.0018680496,0.0016376708,0.0013033045,0.0012189146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024521336,0.000095294556,0.0011285862,0.00023231927,0.000055078614,0.00021947248,0.00014062028,0.7525973,0.014878126,0.007781031,0.0022693903,0.22035761],"study_design_scores_gemma":[0.000003850272,0.000036235644,0.0001837555,0.000010837507,0.0000066900266,0.000041147745,0.000011339861,0.99434507,0.0030171648,0.0016524423,0.0006802807,0.000011155464],"about_ca_topic_score_codex":0.004559352,"about_ca_topic_score_gemma":0.0025422173,"teacher_disagreement_score":0.004559352,"about_ca_system_score_codex":0.00065225933,"about_ca_system_score_gemma":0.0011902194,"threshold_uncertainty_score":0.009775341},"labels":[],"label_agreement":null},{"id":"W4313549853","doi":"10.1109/epec56903.2022.10000173","title":"A Fast OCV Characterization Approach for Battery Reuse Applications","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Battery (electricity); State of charge; Voltage; Reuse; Characterization (materials science); Constant current; Current (fluid); Equivalent circuit; Computer science; Electrical engineering; Electronic engineering; Engineering; Automotive engineering; Power (physics); Materials science; Nanotechnology","score_opus":0.018621169136864898,"score_gpt":0.24860186987224245,"score_spread":0.22998070073537755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313549853","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052080166,0.0016806694,0.93578285,0.00035572913,0.00017587909,0.00021962317,0.00040014833,0.002715267,0.0065896697],"genre_scores_gemma":[0.74536765,0.00183938,0.2399495,0.0002518078,0.00011509036,0.00040137494,0.0008935288,0.00048918143,0.010692482],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99908805,0.00008305383,0.000034798155,0.00014039072,0.00060531,0.000048516904],"domain_scores_gemma":[0.998877,0.00021839124,0.00009204349,0.0001923673,0.0005981019,0.000022093827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056657806,0.0008682532,0.00069100526,0.001267014,0.00043512587,0.0012606381,0.0012339149,0.0009072099,0.0018414765],"category_scores_gemma":[0.0018665601,0.00034518854,0.0005302146,0.0009778417,0.0002993882,0.0020602145,0.0009015382,0.0006765427,0.0010579616],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019143065,0.00008475161,0.0033069751,0.00073312176,0.000042660962,0.00027317432,0.00048974867,0.026078338,0.4420221,0.004819635,0.0046982057,0.5172598],"study_design_scores_gemma":[0.000023362714,0.0005430779,0.0054061334,0.00013270119,0.000071037415,0.001195729,0.0006491244,0.39549196,0.51185715,0.0052960864,0.0791898,0.00014387719],"about_ca_topic_score_codex":0.0012884653,"about_ca_topic_score_gemma":0.0024034602,"teacher_disagreement_score":0.0018414765,"about_ca_system_score_codex":0.0006606011,"about_ca_system_score_gemma":0.0006487781,"threshold_uncertainty_score":0.0061603785},"labels":[],"label_agreement":null},{"id":"W4313562622","doi":"10.1109/epec56903.2022.10000152","title":"An Adaptive Event-Triggered Distributed PID Control for State of Charge Balancing of Multiple Batteries Based Electric Vehicles","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"PID controller; State of charge; Battery (electricity); Computer science; Controller (irrigation); Voltage; Control theory (sociology); Energy (signal processing); Automotive engineering; Engineering; Electrical engineering; Control engineering; Control (management); Power (physics); Temperature control","score_opus":0.01194914314762399,"score_gpt":0.24642307217611062,"score_spread":0.23447392902848663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313562622","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034174483,0.00032480975,0.9598165,0.00009055159,0.00016591005,0.000071279006,0.000017944636,0.0007848053,0.0045537455],"genre_scores_gemma":[0.97883165,0.000109203,0.01889695,0.000052948668,0.00003518776,0.00004875976,0.000017781598,0.000012892776,0.0019944618],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977165,0.000026231708,0.000013815417,0.00007632687,0.00008987819,0.000022055066],"domain_scores_gemma":[0.99987686,0.000024124274,0.00002128759,0.000011879667,0.00005553726,0.000010227786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025253874,0.0004055562,0.00031667924,0.00023458095,0.0002776514,0.000546037,0.0009764838,0.00030884027,0.0009189774],"category_scores_gemma":[0.00040667798,0.00013699675,0.0002197117,0.00017877329,0.00023171204,0.0003964979,0.0003464704,0.00038098235,0.00015560606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005669276,0.00033012903,0.0019120394,0.0003842459,0.0001138982,0.00048755345,0.00025250798,0.34612006,0.1644642,0.010815027,0.0028452266,0.4717082],"study_design_scores_gemma":[0.00006640933,0.00030378133,0.00056062674,0.000012299285,0.000025875004,0.00014444585,0.000026992615,0.9776308,0.015988471,0.0016453218,0.0035770405,0.000017932649],"about_ca_topic_score_codex":0.0010006445,"about_ca_topic_score_gemma":0.0011071023,"teacher_disagreement_score":0.0010006445,"about_ca_system_score_codex":0.00024521514,"about_ca_system_score_gemma":0.00035453335,"threshold_uncertainty_score":0.0030742884},"labels":[],"label_agreement":null},{"id":"W4313562670","doi":"10.1109/epec56903.2022.10000139","title":"Open-Circuit Voltage Modelling Toolbox for Battery Management Systems","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Toolbox; Battery (electricity); Computer science; State of charge; Voltage; Control engineering; Systems engineering; Engineering; Electrical engineering","score_opus":0.05946900931754311,"score_gpt":0.273791361511133,"score_spread":0.21432235219358986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313562670","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00076186564,0.00023662642,0.93963325,0.00011025338,0.000093674484,0.00011509111,0.002604921,0.045248255,0.011195994],"genre_scores_gemma":[0.08174625,0.0023723252,0.80218273,0.0005999384,0.00024551115,0.0019414042,0.018449126,0.02512671,0.06733593],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995043,0.00009199989,0.00005396025,0.00007719968,0.00022673765,0.000045754787],"domain_scores_gemma":[0.9990777,0.00028553748,0.00005941021,0.00018480838,0.00035958146,0.000032988646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008223996,0.0017137423,0.00081662013,0.001196758,0.0004338783,0.0014729958,0.0028280914,0.0011446363,0.07059745],"category_scores_gemma":[0.0025838176,0.00077838445,0.0012245575,0.0007599801,0.00030611726,0.0019550174,0.0013133448,0.0026908363,0.032506052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002602726,0.0002868374,0.0013669821,0.0022883867,0.00016902295,0.0007070922,0.00045073344,0.21049035,0.030499244,0.09776535,0.27482402,0.3808917],"study_design_scores_gemma":[0.00008707953,0.00007170395,0.00043605253,0.00026450306,0.00004392108,0.0005125675,0.000046661546,0.5983491,0.01671574,0.035334423,0.34806404,0.00007414245],"about_ca_topic_score_codex":0.0015968865,"about_ca_topic_score_gemma":0.0018423804,"teacher_disagreement_score":0.07059745,"about_ca_system_score_codex":0.00050119555,"about_ca_system_score_gemma":0.00095718313,"threshold_uncertainty_score":0.23617196},"labels":[],"label_agreement":null},{"id":"W4313562684","doi":"10.1109/epec56903.2022.10000073","title":"Design Optimization of Hybrid Battery Based Gensets","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Battery (electricity); Automotive engineering; Diesel generator; Computer science; Generator (circuit theory); Depth of discharge; Power (physics); Diesel fuel; Engineering","score_opus":0.02360170343694072,"score_gpt":0.23931947413427526,"score_spread":0.21571777069733455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313562684","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26256275,0.0011356053,0.6991403,0.0001910766,0.00013554878,0.00028956842,0.00030127383,0.0005100082,0.035733778],"genre_scores_gemma":[0.9689895,0.00037651137,0.024428474,0.000041972344,0.00001216972,0.00021244187,0.00010578981,0.000038150854,0.005795029],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998276,0.00003787252,0.000009306275,0.000035512516,0.00006473817,0.00002500491],"domain_scores_gemma":[0.9998683,0.000050142065,0.000024121606,0.000010342398,0.00003686379,0.000010298383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004083256,0.0007318314,0.0006750221,0.0005007837,0.00036000303,0.00084748864,0.00089714356,0.00066865043,0.0033302214],"category_scores_gemma":[0.00044207793,0.00044570398,0.0005147598,0.0004651408,0.00033574217,0.00059694436,0.0007599809,0.00037988691,0.0005423475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009763956,0.000026542057,0.00080331776,0.00014969507,0.000045770073,0.00016581162,0.00005415297,0.97144157,0.0075143673,0.0022454024,0.00030261505,0.017153054],"study_design_scores_gemma":[0.000027086979,0.00035739352,0.00069070316,0.00002666182,0.00003255199,0.000090803725,0.00008250051,0.9903728,0.0036348607,0.002056139,0.0026146236,0.000013936894],"about_ca_topic_score_codex":0.00090294855,"about_ca_topic_score_gemma":0.0018667278,"teacher_disagreement_score":0.0033302214,"about_ca_system_score_codex":0.00049225555,"about_ca_system_score_gemma":0.00044114524,"threshold_uncertainty_score":0.011140704},"labels":[],"label_agreement":null},{"id":"W4313562827","doi":"10.1109/epec56903.2022.10000229","title":"Approach for Rigorous Evaluation of a Battery Fuel Gauge","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Battery (electricity); Metric (unit); Voltage; State of charge; Computer science; Engineering; Electrical engineering; Automotive engineering; Simulation; Power (physics); Physics","score_opus":0.05442043758099122,"score_gpt":0.30478353894793203,"score_spread":0.2503631013669408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313562827","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017435175,0.00016590362,0.99330384,0.00016711347,0.00005604533,0.000114797906,0.00008220668,0.00020808518,0.0041585593],"genre_scores_gemma":[0.19555922,0.0008797779,0.79338306,0.00036982165,0.00024402444,0.0010629271,0.00062245136,0.00048047962,0.0073982915],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99302435,0.0021824667,0.00045870838,0.00085290626,0.0032059632,0.00027570355],"domain_scores_gemma":[0.9915372,0.002969903,0.00058510725,0.001099877,0.003633641,0.00017435604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0074111368,0.0018960779,0.0011622732,0.003200718,0.0008153154,0.0033901876,0.0027186146,0.0018781474,0.0069416286],"category_scores_gemma":[0.023114769,0.0006133541,0.0017159071,0.0012474557,0.0019558894,0.0031516056,0.0050578215,0.0032143109,0.0021110203],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015856732,0.0002350052,0.0030698506,0.0009068159,0.00013379476,0.00065211306,0.0005413539,0.23809795,0.02801616,0.55013055,0.0061637843,0.17189407],"study_design_scores_gemma":[0.000028539844,0.00022005447,0.0006438203,0.00019414481,0.000040325896,0.0002595295,0.00015141297,0.84897256,0.007998895,0.12493338,0.016492656,0.00006466703],"about_ca_topic_score_codex":0.004037393,"about_ca_topic_score_gemma":0.0022034654,"teacher_disagreement_score":0.0074111368,"about_ca_system_score_codex":0.0022129735,"about_ca_system_score_gemma":0.0032136051,"threshold_uncertainty_score":0.039194286},"labels":[],"label_agreement":null},{"id":"W4313563253","doi":"10.1109/vppc55846.2022.10003409","title":"A Robust and Simple Long Horizon Health Estimation of Lithium-ion Batteries Using NARX Recurrent Neural Network","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Vehicle Power and Propulsion Conference (VPPC)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Nonlinear autoregressive exogenous model; Artificial neural network; Simple (philosophy); Computer science; Lithium (medication); Recurrent neural network; Control theory (sociology); Artificial intelligence; Medicine; Internal medicine; Control (management)","score_opus":0.04345222568909573,"score_gpt":0.29066931158118997,"score_spread":0.24721708589209423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313563253","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17722878,0.00093883224,0.81476873,0.00032884532,0.0001421871,0.000066663866,0.0002997253,0.0015793262,0.004646923],"genre_scores_gemma":[0.9842738,0.00019573125,0.012670376,0.000044435823,0.000021912278,0.000041170715,0.00020814748,0.000019943558,0.002524427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988115,0.000019784156,0.0000090333215,0.000043815824,0.000033481916,0.0000126526975],"domain_scores_gemma":[0.99986017,0.0000459681,0.000022795715,0.000012870077,0.00005238299,0.000005904501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003395783,0.0006193642,0.0004726174,0.00014843256,0.00018116865,0.00040581473,0.00061194715,0.00045764275,0.0007090485],"category_scores_gemma":[0.0007936085,0.00024430617,0.00033535314,0.00014625421,0.00018991777,0.0005363827,0.00037039703,0.0005780185,0.0002665246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013743296,0.00005481861,0.0026329814,0.00008743931,0.00006375897,0.00013173836,0.000053523367,0.904409,0.009171424,0.0012629931,0.0010803231,0.080914564],"study_design_scores_gemma":[0.0000021773105,0.000017629194,0.00035791064,0.000002437421,0.000004072666,0.0000079601095,0.0000028129236,0.99858594,0.0007015724,0.00019330252,0.000120615085,0.0000035735159],"about_ca_topic_score_codex":0.009069078,"about_ca_topic_score_gemma":0.0071254484,"teacher_disagreement_score":0.009069078,"about_ca_system_score_codex":0.0002852423,"about_ca_system_score_gemma":0.00044199196,"threshold_uncertainty_score":0.01803261},"labels":[],"label_agreement":null},{"id":"W4313563311","doi":"10.1109/vppc55846.2022.10003348","title":"Passive Coupling of Batteries and Supercapacitors Based on Module-Scaled Models","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Vehicle Power and Propulsion Conference (VPPC)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Supercapacitor; Battery (electricity); Driving cycle; Automotive engineering; Dimensioning; State of charge; Electric vehicle; Computer science; Energy storage; Topology (electrical circuits); Electrical engineering; Engineering; Power (physics); Capacitance","score_opus":0.021439103264480817,"score_gpt":0.23979518301903568,"score_spread":0.21835607975455487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313563311","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26153153,0.0004982266,0.7064939,0.00017868303,0.000114004,0.00018270087,0.0005108827,0.0007670435,0.029723018],"genre_scores_gemma":[0.97435105,0.00030596612,0.018098678,0.000038468483,0.000017890427,0.00021575067,0.00017199636,0.00006557622,0.006734697],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998846,0.000024725117,0.0000058633395,0.00003059061,0.00003932721,0.000014942465],"domain_scores_gemma":[0.9998535,0.000048759637,0.000020332382,0.000031686108,0.000033432458,0.000012230793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014268048,0.00046075147,0.0005374546,0.00029052678,0.00020829638,0.00065273006,0.0013534391,0.0006175366,0.0025654812],"category_scores_gemma":[0.00043679448,0.0003311561,0.0006665775,0.0003069057,0.00045068315,0.00097134983,0.00052555255,0.0004814838,0.00049234397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021727761,0.000028689727,0.0003171515,0.00004568352,0.00001756595,0.000060751907,0.00004037786,0.981529,0.009329633,0.005598624,0.00014625309,0.0028645436],"study_design_scores_gemma":[0.000002585381,0.000018114837,0.000079423924,0.0000022383358,0.000004279876,0.000009453306,0.0000060658417,0.9976217,0.00085502607,0.00096279045,0.00043562808,0.0000026089954],"about_ca_topic_score_codex":0.0021212,"about_ca_topic_score_gemma":0.0016387828,"teacher_disagreement_score":0.0025654812,"about_ca_system_score_codex":0.00040335176,"about_ca_system_score_gemma":0.00036064864,"threshold_uncertainty_score":0.008582354},"labels":[],"label_agreement":null},{"id":"W4313563372","doi":"10.1109/vppc55846.2022.10003471","title":"Effect of Battery/Supercapacitor Hybrid Storage System on Battery Voltage in Electric Vehicles","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Vehicle Power and Propulsion Conference (VPPC)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Fundação para a Ciência e a Tecnologia; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Battery (electricity); Voltage; Supercapacitor; Automotive engineering; Energy storage; Electrical engineering; Driving cycle; Root mean square; Current (fluid); Filter (signal processing); Computer science; Electric vehicle; Engineering; Capacitance; Electrode; Power (physics); Physics","score_opus":0.010078735869044252,"score_gpt":0.2361426579972719,"score_spread":0.22606392212822765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313563372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886376,0.00043372298,0.007683555,0.000051078958,0.00003430368,0.000016554406,0.00005839367,0.00015051189,0.002934284],"genre_scores_gemma":[0.9993413,0.00005655935,0.00035008602,0.000008326449,0.0000018824495,0.0000023057855,0.00001246062,0.0000036799113,0.00022340364],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998311,0.000035776906,0.000012240671,0.000025184298,0.000053241787,0.00004234079],"domain_scores_gemma":[0.9995585,0.00024594957,0.000032266493,0.000032711723,0.00011136669,0.000019064028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002432391,0.00034297793,0.00040432997,0.00024209984,0.00026932143,0.0005743735,0.00032674868,0.0004523583,0.001352606],"category_scores_gemma":[0.00070440996,0.00013574556,0.00026173476,0.00019520806,0.00032488775,0.0004752915,0.0002518172,0.00027330677,0.000148479],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027943589,0.0003290216,0.010333274,0.0006528606,0.00016511098,0.0015500028,0.00023549683,0.6872553,0.21244003,0.0011658295,0.0008584274,0.08222025],"study_design_scores_gemma":[0.00007800125,0.0026814367,0.021093084,0.000046413898,0.0002211044,0.0003598928,0.0005746973,0.76931095,0.20273586,0.0008865786,0.0019668473,0.000045228207],"about_ca_topic_score_codex":0.002430834,"about_ca_topic_score_gemma":0.0029424336,"teacher_disagreement_score":0.002430834,"about_ca_system_score_codex":0.00031927053,"about_ca_system_score_gemma":0.00018635046,"threshold_uncertainty_score":0.0048334002},"labels":[],"label_agreement":null},{"id":"W4313563448","doi":"10.1109/vppc55846.2022.10003405","title":"Online Energy Management Strategy for a Fuel Cell Hybrid Self Guided Vehicle","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Vehicle Power and Propulsion Conference (VPPC)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université du Québec à Trois-Rivières","funders":"","keywords":"Battery (electricity); Powertrain; Energy management; State of charge; Automotive engineering; Computer science; Power management; Energy management system; Controller (irrigation); Fuel cells; Power (physics); Fuzzy logic; Hybrid power; Engineering; Energy (signal processing); Artificial intelligence; Torque","score_opus":0.02776305332308255,"score_gpt":0.26990996114433874,"score_spread":0.2421469078212562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313563448","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14324978,0.00024564698,0.8437468,0.00023186298,0.000061349754,0.000119154836,0.0000697391,0.00065195427,0.011623755],"genre_scores_gemma":[0.9873499,0.000038001377,0.010121227,0.000035409357,0.000007122123,0.000047132464,0.000024919915,0.000008233374,0.0023678716],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999144,0.00001297317,0.0000048268994,0.00002313995,0.000026181917,0.000018491015],"domain_scores_gemma":[0.99991584,0.00001710455,0.000017928935,0.000006190711,0.000035774887,0.000007228735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019145868,0.00049064757,0.0003740619,0.0002915407,0.00045095134,0.0005637893,0.00056291645,0.00050551,0.001331823],"category_scores_gemma":[0.00017090765,0.00016172088,0.0002305276,0.00012691203,0.00021693215,0.00038867348,0.0004420899,0.00030157831,0.00022066462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021627347,0.0001547175,0.0012110278,0.00012371251,0.0000720246,0.00034247886,0.00016668117,0.8339606,0.042524196,0.005757294,0.0016252549,0.11384573],"study_design_scores_gemma":[0.000011600346,0.00010847533,0.00025506841,0.0000044349254,0.00001050772,0.00002691567,0.000026286554,0.9949266,0.003180971,0.00064052537,0.0008030166,0.000005594073],"about_ca_topic_score_codex":0.0046524284,"about_ca_topic_score_gemma":0.005725019,"teacher_disagreement_score":0.0046524284,"about_ca_system_score_codex":0.0004086278,"about_ca_system_score_gemma":0.00042305278,"threshold_uncertainty_score":0.0092507005},"labels":[],"label_agreement":null},{"id":"W4313563538","doi":"10.1109/vppc55846.2022.10003350","title":"Sizing of Battery/Supercapacitor Hybrid Energy Storage System for Electric Vehicles","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Vehicle Power and Propulsion Conference (VPPC)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Battery (electricity); Supercapacitor; Automotive engineering; State of charge; Energy storage; Sizing; Computer science; Voltage; Sorting; Electrical engineering; Electric vehicle; Genetic algorithm; Power (physics); Engineering; Capacitance; Algorithm","score_opus":0.016584043235574712,"score_gpt":0.2333877039076532,"score_spread":0.21680366067207849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313563538","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37700415,0.0019172328,0.5617414,0.00045946363,0.00019093767,0.0005735031,0.0006872147,0.0012903857,0.056135762],"genre_scores_gemma":[0.9754166,0.00019028153,0.021171315,0.000036393423,0.000008486384,0.00014102664,0.000115151015,0.000019891577,0.002900954],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998425,0.00003061813,0.00001553231,0.000033138025,0.000049871567,0.000028423416],"domain_scores_gemma":[0.99989855,0.000025380652,0.000018853763,0.000009217694,0.000038886817,0.000009205589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023324479,0.0006980198,0.0005974783,0.0005110747,0.00041550485,0.0013747939,0.000807761,0.0005172594,0.0031275544],"category_scores_gemma":[0.00026947222,0.00035624107,0.00038183224,0.0005037553,0.00026733315,0.0006853907,0.00037093554,0.00031077047,0.00038289116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022303317,0.000091637,0.0011038579,0.00031771918,0.00006693433,0.00016532913,0.00007860457,0.90015215,0.022132289,0.004193746,0.0017651429,0.069709554],"study_design_scores_gemma":[0.000028027978,0.00014655138,0.0006481184,0.00002092882,0.000043941982,0.00005366527,0.000077972225,0.9889759,0.0068263146,0.0015027914,0.0016625051,0.000013401471],"about_ca_topic_score_codex":0.0039846823,"about_ca_topic_score_gemma":0.0070326,"teacher_disagreement_score":0.0039846823,"about_ca_system_score_codex":0.00072337146,"about_ca_system_score_gemma":0.001053538,"threshold_uncertainty_score":0.010462701},"labels":[],"label_agreement":null},{"id":"W4313563575","doi":"10.1109/vppc55846.2022.10003429","title":"An Adaptive and Fast Health Estimation of Lithiumion Batteries Under Random Missing Data","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Vehicle Power and Propulsion Conference (VPPC)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Missing data; Estimation; Computer science; Statistics; Mathematics; Machine learning; Engineering","score_opus":0.04651423122428387,"score_gpt":0.31162917816521235,"score_spread":0.26511494694092846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313563575","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055848055,0.000308288,0.9423709,0.00016019492,0.00003719828,0.000028873925,0.00005960941,0.0004247409,0.0007620747],"genre_scores_gemma":[0.9561722,0.00031439398,0.04140093,0.00006462975,0.000031239735,0.0000703956,0.00014787634,0.000023141129,0.0017751941],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998221,0.000048292008,0.000010806121,0.00005423406,0.00004594689,0.000018704934],"domain_scores_gemma":[0.99963415,0.00018493706,0.0000456893,0.000032062086,0.000092432165,0.000010762082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006767578,0.00042366012,0.0005494528,0.00018170668,0.00015371694,0.0003998019,0.0006088928,0.00057959266,0.00057843205],"category_scores_gemma":[0.0022453493,0.00024866714,0.0003727743,0.00020758639,0.0002496699,0.00059599045,0.0004387552,0.0006016211,0.00016820453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002313022,0.0000577403,0.0029051157,0.00015419486,0.00006423012,0.00017501718,0.00014560972,0.88400203,0.012320846,0.0036675278,0.0006601408,0.09561631],"study_design_scores_gemma":[0.000004825133,0.0000309336,0.0004048213,0.0000036682445,0.000005271975,0.000020289806,0.0000067001524,0.9978065,0.0010768664,0.00048088346,0.0001545863,0.0000048250918],"about_ca_topic_score_codex":0.0041118953,"about_ca_topic_score_gemma":0.0024283633,"teacher_disagreement_score":0.0041118953,"about_ca_system_score_codex":0.00021881338,"about_ca_system_score_gemma":0.000586774,"threshold_uncertainty_score":0.0081759095},"labels":[],"label_agreement":null},{"id":"W4313577972","doi":"10.1016/j.est.2022.106560","title":"High energy capacity or high power rating: Which is the more important performance metric for battery energy storage systems at different penetrations of variable renewables?","year":2023,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Renewable energy; Environmental economics; Energy storage; Variable renewable energy; Software deployment; Electric power system; Electricity; Reliability engineering; Business; Environmental science; Computer science; Power (physics); Engineering; Electrical engineering; Economics","score_opus":0.02125798062082068,"score_gpt":0.24116792909270554,"score_spread":0.21990994847188486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313577972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88705635,0.014112745,0.05185082,0.008596081,0.0010426923,0.00012626815,0.0023759545,0.0008819289,0.033957254],"genre_scores_gemma":[0.99614954,0.0006956737,0.0012569034,0.0002116135,0.00018623835,0.0000056346803,0.00024763047,0.00006359785,0.0011832789],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994741,0.00010125775,0.00004084431,0.000098063785,0.00018523361,0.00010049889],"domain_scores_gemma":[0.9955285,0.0016579422,0.0007957458,0.00016515108,0.0014268372,0.00042579314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010951963,0.000550693,0.0007602224,0.0007567685,0.00033053727,0.0017354103,0.00066330464,0.0010608309,0.0042678756],"category_scores_gemma":[0.006383035,0.00014497168,0.00029238855,0.0009383846,0.00075297244,0.004685597,0.00043896167,0.0007333251,0.0014095206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032067115,0.00062105356,0.31018105,0.0026726166,0.0007062898,0.0011677963,0.0011419574,0.03146251,0.119240634,0.021005955,0.044909567,0.46368393],"study_design_scores_gemma":[0.00013720346,0.003992426,0.60218567,0.0010965338,0.0006836204,0.0041240845,0.006814539,0.16505939,0.12190403,0.055747293,0.037583534,0.00067173305],"about_ca_topic_score_codex":0.0019710117,"about_ca_topic_score_gemma":0.0031111003,"teacher_disagreement_score":0.0042678756,"about_ca_system_score_codex":0.00044273012,"about_ca_system_score_gemma":0.00031389523,"threshold_uncertainty_score":0.014277458},"labels":[],"label_agreement":null},{"id":"W4313592887","doi":"10.1039/d2ee03019e","title":"Health prognostics for lithium-ion batteries: mechanisms, methods, and prospects","year":2023,"lang":"en","type":"article","venue":"Energy & Environmental Science","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":360,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China; Villum Fonden","keywords":"Prognostics; Lithium (medication); Ion; Reliability engineering; Computer science; Materials science; Environmental science; Medicine; Chemistry; Engineering; Psychiatry","score_opus":0.016421550403819957,"score_gpt":0.29675074147448216,"score_spread":0.28032919107066223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313592887","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027844454,0.9249821,0.06549078,0.002259932,0.00087648514,0.000066153276,0.00018365172,0.00033255853,0.0030239096],"genre_scores_gemma":[0.08733802,0.8632146,0.041374907,0.0008123535,0.001966519,0.00015680153,0.00039849666,0.00005609677,0.004682254],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99937564,0.00012851243,0.000059211827,0.00012298215,0.00027822,0.000035531888],"domain_scores_gemma":[0.9990728,0.00037431475,0.00009494348,0.000044770437,0.00038875997,0.00002442055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017172227,0.0016096905,0.001595786,0.0016578118,0.0003888486,0.0015663092,0.0014295779,0.0013595044,0.0022826935],"category_scores_gemma":[0.0025334528,0.00046408008,0.0008766677,0.0011189764,0.0008992643,0.0030114343,0.0010818405,0.0014680037,0.0011760796],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027832526,0.00012676601,0.0030398902,0.009482152,0.00019084792,0.00026466706,0.00020622832,0.011980878,0.020065796,0.023913547,0.017823936,0.9126271],"study_design_scores_gemma":[0.00012946942,0.0017337428,0.009036342,0.009991874,0.0012144388,0.0046985145,0.0007695932,0.14025004,0.08868747,0.17014435,0.57265353,0.0006906225],"about_ca_topic_score_codex":0.0010478601,"about_ca_topic_score_gemma":0.0010343554,"teacher_disagreement_score":0.0022826935,"about_ca_system_score_codex":0.0008765858,"about_ca_system_score_gemma":0.00085450883,"threshold_uncertainty_score":0.009081662},"labels":[],"label_agreement":null},{"id":"W4313889658","doi":"10.3390/en16020762","title":"Electric Vehicle Charging Station Based on Photovoltaic Energy with or without the Support of a Fuel Cell–Electrolyzer Unit","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Research Council of Thailand; Agence Nationale de la Recherche; King Mongkut's University of Technology North Bangkok; Université de Lorraine","keywords":"Photovoltaic system; Automotive engineering; Electric vehicle; Renewable energy; Battery (electricity); Charging station; Engineering; Energy management; Battery pack; Electrical engineering; Power (physics); Energy (signal processing)","score_opus":0.014119548806764283,"score_gpt":0.2441799525714906,"score_spread":0.23006040376472633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313889658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7125115,0.00045326294,0.24301782,0.00013375854,0.00016652745,0.0005596436,0.0013525352,0.0019685635,0.039836355],"genre_scores_gemma":[0.97724473,0.00014974222,0.015412059,0.000020037274,0.000007398169,0.000082175466,0.0003579072,0.000031120137,0.0066948757],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99972755,0.000026024934,0.000020158515,0.000056980352,0.00013574628,0.00003355758],"domain_scores_gemma":[0.99989426,0.000010461061,0.00001211988,0.00002048776,0.000054925695,0.000007695164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013030999,0.00037000971,0.00039662624,0.00032127477,0.0003091148,0.0006240547,0.0010549005,0.00041577272,0.0036968782],"category_scores_gemma":[0.00021906491,0.00019097571,0.00038364308,0.00043525244,0.00016850037,0.00040917486,0.00023196469,0.00025662372,0.0009734251],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013693458,0.00063334993,0.008051451,0.0011945514,0.00028040932,0.0007228422,0.00015454397,0.20692916,0.44976458,0.009496117,0.0050843414,0.31631935],"study_design_scores_gemma":[0.00034184157,0.0045195916,0.021707967,0.00007506964,0.00054561405,0.0018319897,0.00030866382,0.34881842,0.52816486,0.0030531327,0.09052516,0.00010770174],"about_ca_topic_score_codex":0.0013653914,"about_ca_topic_score_gemma":0.0026835508,"teacher_disagreement_score":0.0036968782,"about_ca_system_score_codex":0.00046380368,"about_ca_system_score_gemma":0.00055198703,"threshold_uncertainty_score":0.012367308},"labels":[],"label_agreement":null},{"id":"W4313894315","doi":"10.3390/en16020685","title":"Adaptive Mixed-Integer Linear Programming-Based Energy Management System of Fast Charging Station with Nuclear–Renewable Hybrid Energy System","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Renewable energy; Energy management; Intermittent energy source; Computer science; Energy management system; Integer programming; Nuclear power; Automotive engineering; Engineering; Energy (signal processing); Electrical engineering; Distributed generation; Algorithm; Mathematics","score_opus":0.00947971950768006,"score_gpt":0.20921628152438146,"score_spread":0.1997365620167014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313894315","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.086438954,0.000661496,0.8843903,0.00045109293,0.00019100567,0.00026662293,0.00013814683,0.0010720473,0.026390418],"genre_scores_gemma":[0.9708339,0.00023886937,0.023299187,0.00008096409,0.000033040906,0.00027381937,0.00007073501,0.00001990095,0.005149597],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999617,0.000091056776,0.000027742739,0.00009448904,0.00010712158,0.00006254212],"domain_scores_gemma":[0.99976283,0.00008142885,0.000051060153,0.000011595706,0.00007584035,0.000017381555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005619619,0.0007706775,0.00084571145,0.00027862962,0.00062639744,0.0015469174,0.0009916712,0.0007545566,0.0029068333],"category_scores_gemma":[0.0004948586,0.00037634952,0.0006354722,0.00037300325,0.00034278704,0.0005990543,0.00077428634,0.00077046495,0.0003385904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017107019,0.00012240522,0.000798843,0.00019529824,0.00006189031,0.00024170407,0.00009037413,0.9577647,0.0061169034,0.0033179335,0.0009643715,0.030154556],"study_design_scores_gemma":[0.000013342288,0.00008424989,0.00009527001,0.0000045939064,0.00001039255,0.000014678393,0.000009593095,0.9985013,0.0006054384,0.00028217453,0.0003737973,0.000005220711],"about_ca_topic_score_codex":0.0046420973,"about_ca_topic_score_gemma":0.004515017,"teacher_disagreement_score":0.0046420973,"about_ca_system_score_codex":0.00054050307,"about_ca_system_score_gemma":0.0009196891,"threshold_uncertainty_score":0.009724319},"labels":[],"label_agreement":null},{"id":"W4316011101","doi":"10.1515/ijeeps-2022-0234","title":"Modeling of bidirectional electric vehicle charger for grid ancillary services","year":2023,"lang":"en","type":"article","venue":"International Journal of Emerging Electric Power Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Electric vehicle; Grid; Vehicle-to-grid; Computer science; Automotive engineering; MATLAB; Charging station; Energy (signal processing); Power flow; Power (physics); Electrical engineering; Engineering; Electric power system","score_opus":0.016714771488984054,"score_gpt":0.2854272325969862,"score_spread":0.2687124611080022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316011101","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06352565,0.00092351093,0.84451616,0.0005174679,0.00028560564,0.00025280175,0.00048406993,0.0017499621,0.087744705],"genre_scores_gemma":[0.9562852,0.00053295575,0.012963003,0.00005502082,0.000027750713,0.00017206778,0.00016766702,0.000061258,0.02973517],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997656,0.000048406437,0.000010855957,0.000046648765,0.00009758731,0.000030928193],"domain_scores_gemma":[0.99990726,0.00002065118,0.000014055536,0.0000099740555,0.000042154043,0.000005861264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023344591,0.00054878177,0.000589231,0.00034865446,0.0005010035,0.0012066937,0.0011929765,0.00089426874,0.0075391657],"category_scores_gemma":[0.0002617969,0.00032080038,0.00068487786,0.0002890316,0.0003095383,0.0006397451,0.00048225385,0.000577199,0.0013131071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013915148,0.000059154507,0.001030713,0.00019705834,0.00004881431,0.00047778393,0.00008290221,0.95051324,0.014923454,0.012830746,0.0017799081,0.017917113],"study_design_scores_gemma":[0.00000962579,0.00004766868,0.0001510581,0.000010782985,0.000012016149,0.000057887853,0.000015067401,0.9947941,0.0015165085,0.00086582307,0.0025134692,0.000006051441],"about_ca_topic_score_codex":0.00737521,"about_ca_topic_score_gemma":0.004454146,"teacher_disagreement_score":0.0075391657,"about_ca_system_score_codex":0.00066288817,"about_ca_system_score_gemma":0.00065402716,"threshold_uncertainty_score":0.02522099},"labels":[],"label_agreement":null},{"id":"W4316039275","doi":"10.1016/j.applthermaleng.2023.119990","title":"Heat generation rates and anisotropic thermophysical properties of cylindrical lithium-ion battery cells with different terminal mounting configurations","year":2023,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; CMC Microsystems","keywords":"Heat generation; Terminal (telecommunication); Battery (electricity); Materials science; Heat transfer; Anisotropy; Lithium (medication); Work (physics); Thermal; Mechanics; Thermodynamics; Engineering; Physics; Optics","score_opus":0.015883160523503304,"score_gpt":0.21094587809658985,"score_spread":0.19506271757308655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316039275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99856216,0.000102005586,0.0005298285,0.000010302592,0.000004501234,0.000001959672,0.00014282313,0.000028542538,0.00061786413],"genre_scores_gemma":[0.99958855,0.0000329256,0.00011861307,0.0000016322757,0.0000013988194,0.0000026731423,0.00007562831,0.000010550917,0.00016806563],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998733,0.000016762753,0.000007513336,0.000024008787,0.000039794097,0.00003863503],"domain_scores_gemma":[0.99937254,0.00023994602,0.0001278101,0.00006462946,0.00015875927,0.000036233963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024385306,0.00026036386,0.0001975469,0.00030413913,0.00017946311,0.0003288011,0.00022983715,0.00020462782,0.0021233954],"category_scores_gemma":[0.00078844134,0.00014930245,0.00018039245,0.00039088508,0.00030856862,0.0004499444,0.00015622111,0.00023478232,0.0003020868],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012975232,0.000055306155,0.003944143,0.00009645105,0.000016650354,0.00014334658,0.00023028391,0.011142252,0.974196,0.00053694716,0.00047352104,0.007867471],"study_design_scores_gemma":[0.000030417807,0.00052330113,0.030127345,0.0000120290815,0.0000335423,0.00013962877,0.00027227693,0.031595822,0.9362709,0.00016223874,0.0007834851,0.000048924365],"about_ca_topic_score_codex":0.0007190682,"about_ca_topic_score_gemma":0.0005829614,"teacher_disagreement_score":0.0021233954,"about_ca_system_score_codex":0.00018092473,"about_ca_system_score_gemma":0.00012329285,"threshold_uncertainty_score":0.007103443},"labels":[],"label_agreement":null},{"id":"W4316372019","doi":"10.3390/app13021132","title":"Lithium-Ion Battery Health Estimation Using an Adaptive Dual Interacting Model Algorithm for Electric Vehicles","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"State of health; Battery (electricity); State of charge; Kalman filter; Dual (grammatical number); Lithium-ion battery; Computer science; Extended Kalman filter; Control theory (sociology); Engineering; Algorithm; Power (physics); Artificial intelligence; Control (management)","score_opus":0.08706181919739604,"score_gpt":0.3551650182606046,"score_spread":0.26810319906320856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316372019","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0091474,0.00016013338,0.989646,0.000063258725,0.000022649276,0.000011570567,0.00001087541,0.00020952501,0.000728513],"genre_scores_gemma":[0.7850851,0.0003903031,0.20929417,0.000118278345,0.0000686225,0.00015627878,0.00017920799,0.000058149584,0.0046500196],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985456,0.00003057438,0.000008820331,0.000043551456,0.000045049477,0.000017424429],"domain_scores_gemma":[0.99978787,0.00008522531,0.00003517375,0.000015421458,0.00006669162,0.00000960672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003327321,0.00047640072,0.0006167232,0.00034636454,0.00023963087,0.00055188866,0.00065495685,0.0006271594,0.00096035464],"category_scores_gemma":[0.0012269831,0.0002990624,0.00049846293,0.00032701826,0.00027075858,0.00056946755,0.00055014424,0.0007382829,0.00031204947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010467927,0.00006438189,0.001364746,0.0000649178,0.00006675945,0.000059300975,0.000102792335,0.84283054,0.006692973,0.0052795117,0.0011097795,0.14225961],"study_design_scores_gemma":[0.0000033259682,0.000011718086,0.00008967248,0.0000016973911,0.0000029048035,0.000006923793,0.000002758603,0.9989428,0.0002478597,0.00047737148,0.00020987625,0.000003134121],"about_ca_topic_score_codex":0.00560314,"about_ca_topic_score_gemma":0.0039630737,"teacher_disagreement_score":0.00560314,"about_ca_system_score_codex":0.00038577442,"about_ca_system_score_gemma":0.00060046115,"threshold_uncertainty_score":0.011141062},"labels":[],"label_agreement":null},{"id":"W4316806152","doi":"10.3390/robotics12010013","title":"Optimal Design of Energy Sources for a Photovoltaic/Fuel Cell Extended-Range Agricultural Mobile Robot","year":2023,"lang":"en","type":"article","venue":"Robotics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Ministère des relations internationales et de la Francophonie","keywords":"Photovoltaic system; Automotive engineering; Sizing; Battery pack; Powertrain; Engineering; Simulation; Computer science; Battery (electricity); Electrical engineering; Power (physics)","score_opus":0.02423972515919576,"score_gpt":0.2528771328083605,"score_spread":0.22863740764916474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316806152","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1720943,0.0006866818,0.8114446,0.00019414056,0.000038817634,0.00014638617,0.000074665906,0.00030641266,0.015013939],"genre_scores_gemma":[0.94540286,0.00018156882,0.05195838,0.000021569469,0.0000054769243,0.00015119035,0.000037635193,0.000024033883,0.0022173086],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999925,0.000012382439,0.0000031924956,0.000016680233,0.000028774333,0.000014025189],"domain_scores_gemma":[0.99991953,0.000024015464,0.000020741474,0.000005355018,0.000024395373,0.0000059413533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019679997,0.00044644473,0.00035183266,0.0003618311,0.0002143046,0.00052595214,0.00045671625,0.00048512738,0.001351498],"category_scores_gemma":[0.0002825837,0.00032245065,0.00035248045,0.00020897931,0.00022163056,0.00034414628,0.00031380937,0.00023759768,0.00033247937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000572597,0.000041564694,0.00049263955,0.00013658217,0.000027091064,0.00011086212,0.000038135324,0.9450664,0.017855868,0.0020373443,0.0003018092,0.033834416],"study_design_scores_gemma":[0.000017059907,0.00016488081,0.000439917,0.000010035862,0.000014764808,0.000028447268,0.000032554573,0.99354494,0.0035841297,0.0009784179,0.0011777928,0.0000071850477],"about_ca_topic_score_codex":0.0012675691,"about_ca_topic_score_gemma":0.001583936,"teacher_disagreement_score":0.001351498,"about_ca_system_score_codex":0.00034149943,"about_ca_system_score_gemma":0.00042185892,"threshold_uncertainty_score":0.0045212507},"labels":[],"label_agreement":null},{"id":"W4317038474","doi":"10.1109/tpel.2023.3237622","title":"Modular Multiport Electric-Vehicle DC Fast-Charge Station Assisted by a Dynamically Reconfigurable Stationary Battery","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Converters; Electrical engineering; Capacitor; Engineering; Battery (electricity); Modular design; Voltage; State of charge; Energy storage; Power (physics); Electronic engineering; Computer science; Physics","score_opus":0.009764446231001695,"score_gpt":0.2447647981217071,"score_spread":0.2350003518907054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317038474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6048991,0.00076035835,0.34430405,0.00036265084,0.0003287054,0.00041201164,0.00073821703,0.010914495,0.037280533],"genre_scores_gemma":[0.9745583,0.00008140215,0.018261502,0.00006840877,0.000025025762,0.000055690503,0.00018034245,0.000045405694,0.00672398],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983144,0.000019836883,0.000007449381,0.000041289084,0.00007521047,0.00002471831],"domain_scores_gemma":[0.9998671,0.000012192063,0.000020050426,0.000040373317,0.00004443755,0.000015822638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013019548,0.00037520763,0.00033651284,0.00037029234,0.000314758,0.0004376804,0.0012006857,0.000284662,0.005224612],"category_scores_gemma":[0.00014655938,0.00014661235,0.00027781288,0.00028845377,0.00018977368,0.00064725266,0.00041647424,0.00039135249,0.0013676124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012784951,0.00043251386,0.005782034,0.0005398561,0.00013678237,0.0010127835,0.00030706465,0.032759406,0.5860528,0.008737595,0.015177344,0.34778342],"study_design_scores_gemma":[0.00035118143,0.0020998248,0.007649225,0.000070941045,0.0001630646,0.0024892606,0.00015988442,0.40783575,0.49893755,0.0017983181,0.07829774,0.00014724117],"about_ca_topic_score_codex":0.0010375022,"about_ca_topic_score_gemma":0.0016058091,"teacher_disagreement_score":0.005224612,"about_ca_system_score_codex":0.00029730948,"about_ca_system_score_gemma":0.00039860635,"threshold_uncertainty_score":0.017478108},"labels":[],"label_agreement":null},{"id":"W4317038532","doi":"10.1039/d2cc06655f","title":"Determining the oxidation states of dissolved transition metals in battery electrolytes from solution NMR spectra","year":2023,"lang":"en","type":"article","venue":"Chemical Communications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Royal Society; Faraday Institution","keywords":"Electrolyte; Battery (electricity); NMR spectra database; Cathode; Transition metal; Inorganic chemistry; Spectral line; Chemistry; Electrode; Physical chemistry; Organic chemistry; Catalysis; Thermodynamics; Physics","score_opus":0.035132876342607935,"score_gpt":0.2909990430502113,"score_spread":0.25586616670760337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317038532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9724214,0.0011215981,0.021309955,0.0001419966,0.00006145524,0.000030293228,0.0007687898,0.00016880213,0.0039756307],"genre_scores_gemma":[0.97465837,0.0015949705,0.01888293,0.000095338495,0.000025962827,0.000048467213,0.0011709307,0.000049102455,0.0034739536],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999213,0.0000075352104,0.0000049697614,0.000023258299,0.000026769829,0.00001605013],"domain_scores_gemma":[0.9998795,0.000034882094,0.000012246752,0.0000072429007,0.00005361373,0.000012434201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014739521,0.0002531706,0.00018043649,0.0003220141,0.00022176627,0.0004327618,0.0002622931,0.00042047462,0.0016199696],"category_scores_gemma":[0.00042671908,0.00018829838,0.000112943,0.00027041443,0.0001905203,0.00045020742,0.00017312831,0.00055937044,0.0003605617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031112617,0.0000056090503,0.00021401841,0.000028628137,0.0000030675437,0.000018085162,0.000017476013,0.00003748906,0.99749136,0.00005960565,0.00003803892,0.0020554117],"study_design_scores_gemma":[0.0000049320224,0.000071594295,0.0013654352,0.0000066801704,0.000009669258,0.00009242276,0.00006100044,0.0011857277,0.99618644,0.000089769565,0.0009207503,0.0000055359014],"about_ca_topic_score_codex":0.00083895255,"about_ca_topic_score_gemma":0.0017969334,"teacher_disagreement_score":0.0016199696,"about_ca_system_score_codex":0.00015040526,"about_ca_system_score_gemma":0.00015573477,"threshold_uncertainty_score":0.005419314},"labels":[],"label_agreement":null},{"id":"W4317438673","doi":"10.1016/b978-0-323-90635-7.00011-7","title":"Decision making in solid-state battery manufacturing","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Scrap; Battery (electricity); Reliability (semiconductor); Production (economics); Process engineering; Reliability engineering; Engineering; Lithium-ion battery; Manufacturing engineering; Quality (philosophy); Process (computing); Product (mathematics); Computer science; Mechanical engineering","score_opus":0.021679437201659792,"score_gpt":0.28260874236019756,"score_spread":0.2609293051585378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317438673","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017333442,0.026079196,0.62971646,0.005439953,0.0014469739,0.00014978049,0.0004452804,0.00027728325,0.31911162],"genre_scores_gemma":[0.48153654,0.035162326,0.22576849,0.0008495151,0.00084845757,0.0002344089,0.000718856,0.0001643131,0.25471714],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99949694,0.00018015939,0.000025737982,0.000057059966,0.00020186577,0.000038306276],"domain_scores_gemma":[0.99899143,0.00083961955,0.000034551813,0.00004328527,0.00006770589,0.000023380844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072068593,0.0006436988,0.0005750188,0.0003538224,0.0003600964,0.0024908716,0.000844037,0.0009605881,0.013932462],"category_scores_gemma":[0.0017019818,0.00035167538,0.00056570175,0.0010115226,0.0009428172,0.0016003242,0.0005622882,0.0010546613,0.0018469996],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006708537,0.00011199351,0.0003559554,0.0005822886,0.00005175977,0.00016581539,0.00017976017,0.15902017,0.0017879684,0.44672945,0.025981886,0.3649659],"study_design_scores_gemma":[0.000013413345,0.000065532564,0.0003549468,0.00031122743,0.000018744355,0.000104875755,0.00021005249,0.1759312,0.0013953015,0.739044,0.08252503,0.000025685742],"about_ca_topic_score_codex":0.0016283131,"about_ca_topic_score_gemma":0.002386562,"teacher_disagreement_score":0.013932462,"about_ca_system_score_codex":0.0011080449,"about_ca_system_score_gemma":0.0010120899,"threshold_uncertainty_score":0.046608746},"labels":[],"label_agreement":null},{"id":"W4317665979","doi":"10.2514/6.2023-1772","title":"An Assessment of the Environmental and Cost Benefits from the Electrification of Light Trainer Aircraft","year":2023,"lang":"en","type":"article","venue":"AIAA SCITECH 2023 Forum","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Electrification; Airframe; Automotive engineering; Aviation; Aeronautics; Greenhouse gas; Environmental impact assessment; Certification; Automotive industry; Environmental science; Engineering; Computer science; Aerospace engineering; Electricity; Electrical engineering","score_opus":0.012767746288748686,"score_gpt":0.2754801127800336,"score_spread":0.26271236649128493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317665979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93551826,0.0010439141,0.0037949148,0.00032146552,0.00004294521,0.00019078272,0.0021845151,0.00005677874,0.056846473],"genre_scores_gemma":[0.9868579,0.000583885,0.002312284,0.000048163394,0.000013575772,0.000038587274,0.00064563,0.00002608096,0.009473943],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994842,0.000110581204,0.000014170615,0.000038997023,0.0003032086,0.000048799488],"domain_scores_gemma":[0.99928623,0.00028193643,0.00006554665,0.000038597474,0.0002880639,0.00003969188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007676145,0.0004608969,0.00017667488,0.0016257779,0.0003398531,0.0010019816,0.00034661643,0.00053222704,0.00836198],"category_scores_gemma":[0.0013333821,0.000121168,0.00046395182,0.0011936914,0.00023385092,0.00086432154,0.00047884058,0.00035377417,0.0006813698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009838226,0.0014576346,0.10596442,0.0011695313,0.00051656587,0.002182359,0.00035869383,0.2328886,0.13201004,0.010474455,0.009500295,0.49363917],"study_design_scores_gemma":[0.00039277424,0.018419983,0.6285348,0.00050326163,0.00088409864,0.0013900537,0.0052716555,0.1356567,0.114199586,0.01279494,0.08162046,0.00033168186],"about_ca_topic_score_codex":0.0050094123,"about_ca_topic_score_gemma":0.011476585,"teacher_disagreement_score":0.00836198,"about_ca_system_score_codex":0.0012984538,"about_ca_system_score_gemma":0.0003371432,"threshold_uncertainty_score":0.027973533},"labels":[],"label_agreement":null},{"id":"W4318148722","doi":"10.1109/mepcon55441.2022.10021730","title":"Design and Development of DC-DC Converters Based on IoT Systems for Photovoltaic Applications in Egypt","year":2022,"lang":"en","type":"article","venue":"2022 23rd International Middle East Power Systems Conference (MEPCON)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Electric Vehicles (Canada)","funders":"","keywords":"Converters; Photovoltaic system; Buck converter; Flyback converter; Boost converter; Flyback transformer; Ćuk converter; Electronic engineering; Maximum power point tracking; Forward converter; Buck–boost converter; Computer science; Electrical engineering; Engineering; Voltage; Inverter","score_opus":0.04974376255424006,"score_gpt":0.257846929284468,"score_spread":0.20810316673022794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318148722","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19793266,0.002297055,0.6799884,0.0004495033,0.00039532568,0.0006893932,0.00031426508,0.001900867,0.11603257],"genre_scores_gemma":[0.8905032,0.0012201382,0.08205517,0.00012121181,0.00003401926,0.00023741582,0.00021755732,0.00006337912,0.025547963],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999897,0.000011329898,0.0000074840223,0.000018965507,0.000052830033,0.00001236503],"domain_scores_gemma":[0.99992406,0.0000065304284,0.000005657984,0.000008746391,0.00005010041,0.0000049378054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000138743,0.00023778576,0.0002157358,0.00022674655,0.00031862926,0.00052138674,0.00043802196,0.00026634123,0.0028435697],"category_scores_gemma":[0.0001623265,0.00013213443,0.0002814882,0.0002580374,0.00011040906,0.000326673,0.00016716094,0.00025068555,0.0008020859],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031530042,0.00024649824,0.0050697466,0.0010360678,0.00013970865,0.0011208068,0.0005078217,0.1282828,0.3976388,0.024204504,0.0072962446,0.43414164],"study_design_scores_gemma":[0.00012636221,0.0011117988,0.01025605,0.00024144647,0.0002294647,0.0014995807,0.00040123987,0.49506587,0.33309639,0.0058869487,0.15200333,0.00008157896],"about_ca_topic_score_codex":0.00135985,"about_ca_topic_score_gemma":0.0017892077,"teacher_disagreement_score":0.0028435697,"about_ca_system_score_codex":0.00031651746,"about_ca_system_score_gemma":0.00039479026,"threshold_uncertainty_score":0.009512663},"labels":[],"label_agreement":null},{"id":"W4318422664","doi":"10.46855/energy-proceedings-9968","title":"Electrolyzer Degradation-Power Electronics One -Way Interaction Model","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Mitacs; Université du Québec à Trois-Rivières","keywords":"Power electronics; Electronics; Degradation (telecommunications); Power (physics); Computer science; Electrical engineering; Engineering; Physics; Voltage","score_opus":0.027008423989644748,"score_gpt":0.2911627031314798,"score_spread":0.26415427914183504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318422664","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15341915,0.0027971778,0.77160454,0.0011878446,0.00030879278,0.00039199583,0.0024983145,0.002243196,0.06554899],"genre_scores_gemma":[0.93381107,0.0009642331,0.010252376,0.00016603283,0.00007023993,0.00056574336,0.00060643815,0.00017461863,0.053389218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955624,0.000086306274,0.000020249776,0.00012456546,0.00012505811,0.000087516455],"domain_scores_gemma":[0.9990827,0.00046953183,0.00013903082,0.000057320307,0.00021390569,0.000037524238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050620147,0.0014641561,0.0016779109,0.00062141975,0.00058789446,0.0012984743,0.0024857537,0.0029846106,0.0103587955],"category_scores_gemma":[0.0015289955,0.00063137437,0.0015833012,0.0006443129,0.00077321025,0.0017069645,0.0010078859,0.0019041544,0.0018253573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095106385,0.00007273627,0.00067609386,0.00018189852,0.00004961228,0.00027365534,0.000108279506,0.9788558,0.0048692427,0.0091553815,0.0007951136,0.0048671276],"study_design_scores_gemma":[0.000011371399,0.000028198618,0.00017333154,0.000004650822,0.000016336755,0.00003410683,0.000008098432,0.99728835,0.00040872162,0.0014356882,0.00058430765,0.0000068310196],"about_ca_topic_score_codex":0.0088628605,"about_ca_topic_score_gemma":0.0050087846,"teacher_disagreement_score":0.0103587955,"about_ca_system_score_codex":0.0009970018,"about_ca_system_score_gemma":0.0006211598,"threshold_uncertainty_score":0.034653544},"labels":[],"label_agreement":null},{"id":"W4318481078","doi":"10.2139/ssrn.4267322","title":"Utility of Cardiac Implantable Electronic Device Algorithm for Sleep Apnea Screening in Cardiomyopathy","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Cardiomyopathy; Medicine; Sleep apnea; Cardiology; Apnea; Internal medicine; Sleep (system call); Algorithm; Computer science; Heart failure","score_opus":0.013531579236179925,"score_gpt":0.2686742381595295,"score_spread":0.2551426589233496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318481078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9208099,0.005460414,0.039303135,0.0022719235,0.00057078025,0.0006490338,0.005277393,0.0016867464,0.02397066],"genre_scores_gemma":[0.9511423,0.0010672542,0.04094531,0.00042187158,0.00024128574,0.0001891857,0.002868471,0.00008818028,0.0030360564],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99957055,0.00008826832,0.00008856699,0.00010016678,0.00011340624,0.000039042516],"domain_scores_gemma":[0.9990621,0.00035091583,0.00013019702,0.00004099094,0.00033142476,0.00008431442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063359865,0.0006016985,0.0005014481,0.0021622695,0.0003455311,0.0011223957,0.00049309735,0.00064655225,0.0036527487],"category_scores_gemma":[0.003081308,0.00010589547,0.00052237714,0.00049747946,0.00010296359,0.0005661071,0.0003431516,0.00047698256,0.0009998964],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010754877,0.00027399693,0.77970225,0.00021733333,0.00017423548,0.001397317,0.0001380376,0.002619927,0.0057136808,0.00087659666,0.0096986415,0.1981126],"study_design_scores_gemma":[0.00020442455,0.0013335622,0.8453845,0.0005185184,0.0008019498,0.010857041,0.0006535487,0.10803336,0.013848677,0.0032915846,0.0149545595,0.00011832212],"about_ca_topic_score_codex":0.0013444461,"about_ca_topic_score_gemma":0.0025940966,"teacher_disagreement_score":0.0036527487,"about_ca_system_score_codex":0.0002656562,"about_ca_system_score_gemma":0.00043654593,"threshold_uncertainty_score":0.012219667},"labels":[],"label_agreement":null},{"id":"W4318821403","doi":"10.3390/designs7010025","title":"Design of a Recommender System with Safe Driving Mode Based on State-of-Function Estimation in Electric Vehicle Drivetrains with Battery/Supercapacitor Hybrid Energy Storage System","year":2023,"lang":"en","type":"article","venue":"Designs","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Drivetrain; Automotive engineering; Computer science; State of charge; Battery (electricity); Electric vehicle; Control theory (sociology); Engineering; Power (physics); Control engineering; Torque; Control (management)","score_opus":0.024726382623431273,"score_gpt":0.2354875842164187,"score_spread":0.21076120159298742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318821403","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046029832,0.00089993526,0.9466616,0.00029918458,0.00020085173,0.00018381514,0.00009644069,0.001666186,0.0039620856],"genre_scores_gemma":[0.9153735,0.00033894536,0.07896008,0.0002237671,0.00013374224,0.00034165083,0.00021129446,0.00003866137,0.004378382],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912184,0.0001326153,0.000078467885,0.00036483633,0.00015514034,0.00014705071],"domain_scores_gemma":[0.9991067,0.0002073364,0.00010563734,0.000069832604,0.00042660162,0.00008380536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009648642,0.0011708953,0.0021979085,0.00047909466,0.0010100328,0.0012179943,0.002196719,0.0017757431,0.0027549851],"category_scores_gemma":[0.0014201961,0.00066546316,0.0008935512,0.00042107506,0.0005514033,0.0011742511,0.0011015361,0.001143394,0.0012385979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083243754,0.0004249873,0.0069764145,0.00052263937,0.0005237765,0.0011346913,0.00060450414,0.64093256,0.04276293,0.007914267,0.0061426735,0.29122815],"study_design_scores_gemma":[0.000050208084,0.0001629944,0.0006571184,0.0000111288555,0.000053581363,0.00007738561,0.000038439448,0.9956773,0.0017627461,0.0004738039,0.0010084308,0.00002688414],"about_ca_topic_score_codex":0.012737019,"about_ca_topic_score_gemma":0.011487723,"teacher_disagreement_score":0.012737019,"about_ca_system_score_codex":0.00062196754,"about_ca_system_score_gemma":0.00084950746,"threshold_uncertainty_score":0.025325716},"labels":[],"label_agreement":null},{"id":"W4319067679","doi":"10.1002/est2.453","title":"Fin structure and liquid cooling to enhance heat transfer of composite phase change materials in battery thermal management system","year":2023,"lang":"en","type":"article","venue":"Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Fonds de recherche du Québec – Nature et technologies; National Natural Science Foundation of China","keywords":"Materials science; Computer cooling; Coolant; Phase-change material; Battery (electricity); Heat transfer; Heat transfer enhancement; Graphite; Composite number; Battery pack; Heat transfer coefficient; Thermal; Fin; Nuclear engineering; Thermodynamics; Composite material; Thermal management of electronic devices and systems; Mechanical engineering","score_opus":0.013917419526890093,"score_gpt":0.2652888245561672,"score_spread":0.25137140502927713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319067679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861276,0.00034281018,0.010788652,0.000028293469,0.000035619312,0.000012766214,0.000055211643,0.000182581,0.002426292],"genre_scores_gemma":[0.9960452,0.000051816944,0.0033180926,0.0000066950706,0.000002726958,0.0000088090865,0.000022291846,0.000007632569,0.0005368542],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999972,0.000002856568,0.0000011764233,0.0000071607305,0.000009219303,0.000007633995],"domain_scores_gemma":[0.9999571,0.000007426312,0.000010304712,0.0000045457264,0.000016441854,0.000004253727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000057831217,0.0002247322,0.0001595076,0.0001626787,0.00014102246,0.00014647291,0.00033670475,0.0001683462,0.0009972849],"category_scores_gemma":[0.00011358346,0.000114869385,0.00015595202,0.00012754726,0.0001138639,0.000240714,0.00013968749,0.00011930004,0.00013908857],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017887828,0.000041297633,0.0009617673,0.00015189256,0.000011459203,0.00010448924,0.000027557786,0.020060485,0.9682505,0.00043500247,0.00020253159,0.009574122],"study_design_scores_gemma":[0.00006273314,0.0010908599,0.004874953,0.000020937596,0.00004095987,0.00012688804,0.000035798643,0.13173912,0.8580266,0.00019717067,0.003759904,0.000024097257],"about_ca_topic_score_codex":0.00078424887,"about_ca_topic_score_gemma":0.0012379279,"teacher_disagreement_score":0.0009972849,"about_ca_system_score_codex":0.0002713002,"about_ca_system_score_gemma":0.00017356731,"threshold_uncertainty_score":0.0033361912},"labels":[],"label_agreement":null},{"id":"W4319302816","doi":"10.1109/tec.2023.3242876","title":"Multi-Segment State of Health Estimation of Lithium-ion Batteries Considering Short Partial Charging","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Ontario Centre of Innovation","keywords":"State of health; Voltage; Robustness (evolution); Estimator; Partial discharge; Computer science; Control theory (sociology); Engineering; Mathematics; Artificial intelligence; Statistics; Electrical engineering; Battery (electricity); Chemistry","score_opus":0.032851807200569634,"score_gpt":0.28106802498162525,"score_spread":0.24821621778105563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319302816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.57286566,0.0014440306,0.4212289,0.00014966348,0.000062127,0.00007170674,0.00076009985,0.000999761,0.002418053],"genre_scores_gemma":[0.98611975,0.00023492737,0.012329664,0.000021666881,0.000026176707,0.000026061825,0.00054298213,0.000016947322,0.0006817524],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9998605,0.000018863837,0.000013748794,0.000043368353,0.000042199816,0.000021357311],"domain_scores_gemma":[0.9997079,0.00007363513,0.000058563553,0.0000330951,0.00011301896,0.000013885173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031806505,0.00042047902,0.00047249804,0.0007710063,0.00014990028,0.00049246085,0.0003711393,0.000325389,0.00045754897],"category_scores_gemma":[0.0010216535,0.00010629895,0.0002892444,0.00056786236,0.00014054817,0.0005932268,0.00040114167,0.0002515717,0.00018388168],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010859893,0.00017785952,0.08195529,0.00043420974,0.00019725788,0.00055013906,0.0005045924,0.32261196,0.041595668,0.0025550267,0.0031715445,0.54516053],"study_design_scores_gemma":[0.000009111635,0.00014755051,0.028790787,0.00001728692,0.000057945614,0.00017663106,0.00013799044,0.9528614,0.014678267,0.0016442509,0.0014499618,0.000028846602],"about_ca_topic_score_codex":0.0020697627,"about_ca_topic_score_gemma":0.0022010566,"teacher_disagreement_score":0.0020697627,"about_ca_system_score_codex":0.00019991166,"about_ca_system_score_gemma":0.00021534882,"threshold_uncertainty_score":0.0041154623},"labels":[],"label_agreement":null},{"id":"W4319456966","doi":"10.1016/b978-0-443-18862-6.00008-2","title":"Integrated battery-based systems","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); Propulsion; Automotive engineering; System integration; Electrically powered spacecraft propulsion; Fuel cells; Lithium-ion battery; Gas turbines; Engineering; Computer science; Systems engineering; Aerospace engineering; Mechanical engineering; Operating system","score_opus":0.026802788067404246,"score_gpt":0.24817302980959266,"score_spread":0.22137024174218842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319456966","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043225074,0.064631246,0.13322027,0.0011441093,0.004036092,0.00012489203,0.0005758967,0.002164294,0.78978074],"genre_scores_gemma":[0.03200416,0.025604028,0.019906726,0.0005752741,0.0007080012,0.000087327266,0.0008227452,0.00023443362,0.92005736],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998393,0.000010046463,0.000006966817,0.000032559983,0.0000957284,0.000015405494],"domain_scores_gemma":[0.9999409,0.000011252154,0.0000025047307,0.000012694234,0.000027396989,0.000005255664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012897108,0.0007466424,0.0005441437,0.00048353392,0.00031704115,0.0017557414,0.0011466809,0.00092085835,0.05362355],"category_scores_gemma":[0.00020590627,0.00037135198,0.00032050538,0.0010206185,0.00025918693,0.001576546,0.0010827772,0.001029188,0.024573654],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007338076,0.00009376534,0.00014647607,0.0006231609,0.00004143843,0.00013924771,0.00013501977,0.0034348655,0.020524707,0.07453683,0.16373558,0.73651546],"study_design_scores_gemma":[0.000009095237,0.00006665589,0.00028584982,0.00014606284,0.000017746052,0.00027652984,0.000032915344,0.004547803,0.0038383638,0.016624063,0.9741435,0.000011480693],"about_ca_topic_score_codex":0.00064267573,"about_ca_topic_score_gemma":0.0015505679,"teacher_disagreement_score":0.05362355,"about_ca_system_score_codex":0.00048326066,"about_ca_system_score_gemma":0.0002992187,"threshold_uncertainty_score":0.17938864},"labels":[],"label_agreement":null},{"id":"W4319457155","doi":"10.1016/b978-0-443-18862-6.00005-7","title":"Thermal behavior of batteries","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); Heat generation; Thermal conduction; Thermal; Materials science; Nuclear engineering; Electrochemical cell; Mechanical engineering; Electrochemistry; Engineering; Thermodynamics; Electrode; Chemistry; Composite material; Power (physics); Physics","score_opus":0.025570365862382035,"score_gpt":0.26173401896647835,"score_spread":0.23616365310409632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319457155","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008831405,0.12352321,0.03301392,0.0018225659,0.0017401231,0.00006375507,0.0005802173,0.000729952,0.8296948],"genre_scores_gemma":[0.040639255,0.03527468,0.0042217085,0.00044386115,0.0003512515,0.00007836423,0.00041268297,0.00026588945,0.91831225],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99988174,0.0000092740775,0.0000032282758,0.000024735897,0.00007062404,0.000010291003],"domain_scores_gemma":[0.9999516,0.000016619859,0.0000020572943,0.00000990118,0.000016460104,0.0000034206503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000106025116,0.0006072466,0.000611946,0.00040574704,0.00039057835,0.0010622208,0.00071603793,0.00062935625,0.026340919],"category_scores_gemma":[0.00022737264,0.00039686792,0.00034791898,0.0007270641,0.00048685184,0.0011942965,0.0006422392,0.0011486138,0.0120989205],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113473216,0.000116909454,0.00034356123,0.0013172912,0.00003605888,0.0002472253,0.00070012204,0.0120808175,0.078725174,0.22465028,0.14525037,0.53641874],"study_design_scores_gemma":[0.0000086221025,0.00006662343,0.00096539076,0.0003045338,0.000012424379,0.00039755114,0.00013364233,0.0059413416,0.017837351,0.08473298,0.8895719,0.000027527703],"about_ca_topic_score_codex":0.00066120795,"about_ca_topic_score_gemma":0.0009117224,"teacher_disagreement_score":0.026340919,"about_ca_system_score_codex":0.00058068417,"about_ca_system_score_gemma":0.0002874109,"threshold_uncertainty_score":0.08811921},"labels":[],"label_agreement":null},{"id":"W4319457361","doi":"10.1016/b978-0-443-18862-6.00009-4","title":"Thermodynamics of batteries","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Thermodynamics; Enthalpy; Nernst equation; Gibbs free energy; Battery (electricity); Electrochemistry; Standard enthalpy of reaction; Laws of thermodynamics; Chemistry; Materials science; Physical chemistry; Physics; Electrode; Non-equilibrium thermodynamics","score_opus":0.019641461533303806,"score_gpt":0.2477554164861069,"score_spread":0.2281139549528031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319457361","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002337904,0.14166342,0.024044437,0.004824142,0.0041588326,0.00009127322,0.00073103234,0.0005248235,0.8216241],"genre_scores_gemma":[0.041971434,0.06381758,0.010550634,0.0017094911,0.0015998222,0.00027718037,0.000897255,0.00032341405,0.87885326],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997242,0.0000353283,0.000011353204,0.00004658451,0.00015947856,0.000023125975],"domain_scores_gemma":[0.9998914,0.000036875474,0.0000053854474,0.000022857841,0.00003494121,0.000008551475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026653073,0.0008558497,0.0010277741,0.00092711195,0.0007646799,0.0014369998,0.0010360073,0.0009980743,0.029252592],"category_scores_gemma":[0.0006258762,0.0006183502,0.00048023908,0.0012383183,0.0012717491,0.0018703412,0.0011764567,0.00220856,0.012941312],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002116686,0.00005932471,0.00017679512,0.0006384604,0.000018046107,0.000098166696,0.0003272314,0.0028307915,0.0042264825,0.6980847,0.15444438,0.13907446],"study_design_scores_gemma":[0.00000549843,0.000013896593,0.0002346885,0.00016171369,0.00000418672,0.00012507306,0.0000425027,0.0012275538,0.0015591215,0.2926466,0.7039663,0.000012845437],"about_ca_topic_score_codex":0.0013411338,"about_ca_topic_score_gemma":0.0019322931,"teacher_disagreement_score":0.029252592,"about_ca_system_score_codex":0.0012325564,"about_ca_system_score_gemma":0.0009933269,"threshold_uncertainty_score":0.09785968},"labels":[],"label_agreement":null},{"id":"W4319457363","doi":"10.1016/b978-0-443-18862-6.00007-0","title":"Electrochemical modeling of batteries","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); Electrochemistry; Electrolyte; Electrochemical cell; Electrode; Work (physics); Electrochemical energy conversion; Materials science; Energy storage; Chemistry; Thermodynamics; Power (physics); Physics; Physical chemistry","score_opus":0.02323427964397775,"score_gpt":0.2516675706698701,"score_spread":0.22843329102589235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319457363","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010353838,0.040789556,0.46195248,0.003518024,0.0021551005,0.000128254,0.0023371428,0.0019470896,0.47681856],"genre_scores_gemma":[0.14318816,0.034535892,0.06777563,0.0007483298,0.00070275785,0.00028138183,0.002911584,0.00060233986,0.749254],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987316,0.000016680306,0.000005682098,0.00002359627,0.000071774535,0.000009045335],"domain_scores_gemma":[0.9999312,0.000017612318,0.000002617665,0.00001350852,0.000030718038,0.000004304796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013324925,0.00073644327,0.0008571698,0.0004217409,0.0003079042,0.0012973486,0.0013159098,0.0012423825,0.012888948],"category_scores_gemma":[0.00040779778,0.00040618164,0.0007006717,0.0008448231,0.0003052552,0.0012279213,0.00060973107,0.0010931835,0.007451108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070417795,0.00012334775,0.00048375913,0.0008456879,0.000063348365,0.00025544444,0.00017507099,0.29688182,0.023967842,0.28760698,0.08411175,0.30541447],"study_design_scores_gemma":[0.000014757836,0.0000478438,0.00061555876,0.00017055272,0.00002314639,0.00026434346,0.00006546911,0.43193287,0.0089592775,0.16860811,0.38926739,0.000030727333],"about_ca_topic_score_codex":0.002623903,"about_ca_topic_score_gemma":0.0018497348,"teacher_disagreement_score":0.012888948,"about_ca_system_score_codex":0.00054419745,"about_ca_system_score_gemma":0.0005477016,"threshold_uncertainty_score":0.04311782},"labels":[],"label_agreement":null},{"id":"W4319457394","doi":"10.1016/b978-0-443-18862-6.00006-9","title":"Battery system design","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); Battery pack; Engineering; Automotive engineering; Process (computing); Automotive battery; Systems design; Electrical engineering; Computer science; Systems engineering","score_opus":0.035662519153371305,"score_gpt":0.24754622762820927,"score_spread":0.21188370847483795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319457394","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036459994,0.009932801,0.3255869,0.00114055,0.00150401,0.00021568256,0.0010458134,0.0031136717,0.6538146],"genre_scores_gemma":[0.04553661,0.0060451874,0.03010723,0.00038925852,0.00023603422,0.00019555686,0.0011157024,0.00056919816,0.9158053],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99980503,0.000021055852,0.000008316333,0.000035192006,0.00011572527,0.00001467914],"domain_scores_gemma":[0.99991643,0.000011371773,0.000002533807,0.000020405478,0.000044696335,0.000004562536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022238711,0.00082567055,0.00057614205,0.00059752923,0.00059104996,0.0015496056,0.00102104,0.00086996524,0.06954329],"category_scores_gemma":[0.00036146407,0.00047370596,0.0004630176,0.0007643437,0.00031206434,0.0012140209,0.0008163906,0.00076295924,0.030017411],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075230804,0.000055206678,0.0002886566,0.0005745984,0.00003585337,0.0001394564,0.00015718462,0.023640094,0.016302777,0.07442824,0.18976443,0.69453824],"study_design_scores_gemma":[0.000014891165,0.00008653285,0.00040145667,0.00012832659,0.000026806782,0.0003366652,0.000059936578,0.027218128,0.0063663553,0.03276162,0.93257713,0.000022108352],"about_ca_topic_score_codex":0.0019190438,"about_ca_topic_score_gemma":0.0031940676,"teacher_disagreement_score":0.06954329,"about_ca_system_score_codex":0.000836474,"about_ca_system_score_gemma":0.00070198375,"threshold_uncertainty_score":0.23264545},"labels":[],"label_agreement":null},{"id":"W4319457445","doi":"10.1016/b978-0-443-18862-6.00003-3","title":"Battery thermal management systems","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); Thermal runaway; Trickle charging; Automotive engineering; Battery pack; Automotive battery; Thermal management of electronic devices and systems; Electrical engineering; Engineering; Power (physics); Mechanical engineering","score_opus":0.021940629366579076,"score_gpt":0.24097822938570398,"score_spread":0.21903760001912492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319457445","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055752615,0.016014483,0.116885565,0.001189987,0.0017126736,0.00016906424,0.00071519875,0.005107297,0.85263044],"genre_scores_gemma":[0.02612999,0.00523171,0.010332931,0.0003517021,0.000258462,0.00008560538,0.00066302426,0.00038785976,0.95655864],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99983823,0.00001420664,0.0000070853944,0.000031680305,0.0000915188,0.000017328544],"domain_scores_gemma":[0.9999368,0.00001049188,0.0000031270122,0.0000169155,0.000027369091,0.0000052086734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015363123,0.000809698,0.0004974294,0.000517272,0.000501154,0.0014321009,0.00088386325,0.0006837151,0.0676308],"category_scores_gemma":[0.00021869638,0.0003856288,0.00033881064,0.000882894,0.00021387634,0.0014662106,0.00089680305,0.0008179215,0.03476051],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006361604,0.00006557242,0.00015634813,0.00032772927,0.000019573128,0.00010020509,0.00014350514,0.005175453,0.015065651,0.022207314,0.17407756,0.78259754],"study_design_scores_gemma":[0.000010507876,0.00006377128,0.0006904222,0.00012516424,0.000018265166,0.00025777883,0.00007777505,0.01136783,0.007337863,0.013374161,0.9666579,0.000018626975],"about_ca_topic_score_codex":0.0013401341,"about_ca_topic_score_gemma":0.0027173248,"teacher_disagreement_score":0.0676308,"about_ca_system_score_codex":0.00050655816,"about_ca_system_score_gemma":0.00043833547,"threshold_uncertainty_score":0.22624755},"labels":[],"label_agreement":null},{"id":"W4319724943","doi":"10.1016/j.ijhydene.2023.01.156","title":"Feasibility analysis of blending hydrogen into natural gas networks","year":2023,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":218,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Institute for Information and Communications Technology Promotion; Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Natural gas; Hydrogen; Environmental science; Pipeline transport; Greenhouse gas; Flammability; Energy carrier; Petroleum engineering; Nuclear engineering; Process engineering; Waste management; Computer science; Materials science; Environmental engineering; Chemistry; Engineering; Geology","score_opus":0.016179791455650665,"score_gpt":0.29795547453856286,"score_spread":0.2817756830829122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319724943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97715205,0.0002943514,0.014052809,0.00012088835,0.000034191653,0.00012701705,0.00013286818,0.000047035,0.00803863],"genre_scores_gemma":[0.9949832,0.00012011255,0.0034102113,0.0000063645607,0.0000028220165,0.00002658091,0.000053644657,0.000006532608,0.0013906497],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998299,0.000028859975,0.000005136853,0.00003079984,0.00007794267,0.000027384858],"domain_scores_gemma":[0.9997037,0.00013223247,0.00003464491,0.000020197944,0.00009026815,0.000018909039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004973865,0.00024539616,0.0001814328,0.0002748118,0.00023780868,0.00046668143,0.00043949173,0.00034355553,0.0029874712],"category_scores_gemma":[0.0008201931,0.00016798124,0.00022890966,0.00017729489,0.000214553,0.00085317576,0.00025257366,0.00029690386,0.00026622164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028753874,0.0007725004,0.0070568235,0.0006355779,0.000049462404,0.00061005907,0.00009606202,0.06982039,0.87213105,0.0063583134,0.00048859935,0.039105777],"study_design_scores_gemma":[0.000072550705,0.0033311401,0.0033596847,0.000018000717,0.00006243821,0.00010238279,0.00022808932,0.24807297,0.7403135,0.0010940752,0.0033274032,0.000017840954],"about_ca_topic_score_codex":0.00092519925,"about_ca_topic_score_gemma":0.0016789832,"teacher_disagreement_score":0.0029874712,"about_ca_system_score_codex":0.00048571735,"about_ca_system_score_gemma":0.00033109676,"threshold_uncertainty_score":0.00999409},"labels":[],"label_agreement":null},{"id":"W4319923604","doi":"10.3390/en16041754","title":"Dynamic Control of Traction Motor for EV Fed via Dual Source Inverter with a Two Battery System","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Vector control; Induction motor; Traction motor; Voltage; Battery (electricity); Z-source inverter; Control theory (sociology); Traction (geology); Inverter; Engineering; Electrical engineering; Computer science; Power (physics); Physics; Control (management)","score_opus":0.00792341600027013,"score_gpt":0.23594016078166577,"score_spread":0.22801674478139564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319923604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7804776,0.0002969959,0.2023249,0.00015635807,0.00009793247,0.00011198753,0.00012553831,0.0009094711,0.0154993115],"genre_scores_gemma":[0.9956098,0.000037498005,0.0030176765,0.00000898609,0.0000044510343,0.000026463678,0.000026408316,0.0000076072843,0.0012610928],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990964,0.000014205663,0.000007486572,0.00001719656,0.000038665778,0.0000128162455],"domain_scores_gemma":[0.9999291,0.000017155304,0.000013461372,0.000007901309,0.000027013417,0.000005311486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010984105,0.00025818063,0.00032147364,0.00018243809,0.00021153493,0.00035036544,0.00030631723,0.0002298365,0.0012199199],"category_scores_gemma":[0.00013974596,0.00007109557,0.00015851752,0.000119306635,0.000121473415,0.00012768988,0.0001615746,0.00017983808,0.00016570918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001834922,0.0005367662,0.0037103277,0.00067149097,0.00010766554,0.00083101884,0.00056207355,0.10214355,0.7123905,0.003591236,0.0015295713,0.17209086],"study_design_scores_gemma":[0.00022185103,0.0021165945,0.008953946,0.00004843267,0.00008518685,0.0003886795,0.00013063435,0.858776,0.11905407,0.0009054315,0.009278088,0.000041010655],"about_ca_topic_score_codex":0.00089161133,"about_ca_topic_score_gemma":0.0010668052,"teacher_disagreement_score":0.0012199199,"about_ca_system_score_codex":0.00019394557,"about_ca_system_score_gemma":0.00012116661,"threshold_uncertainty_score":0.0040810704},"labels":[],"label_agreement":null},{"id":"W4319998223","doi":"10.1109/tmech.2023.3234770","title":"An Early Soft Internal Short-Circuit Fault Diagnosis Method for Lithium-Ion Battery Packs in Electric Vehicles","year":2023,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"National Natural Science Foundation of China","keywords":"Internal resistance; Fault (geology); Battery pack; Battery (electricity); Short circuit; Outlier; Lithium-ion battery; Voltage; State of charge; Computer science; Engineering; Electrical engineering; Power (physics); Artificial intelligence","score_opus":0.029877126326040362,"score_gpt":0.312316486375706,"score_spread":0.2824393600496657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319998223","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13670355,0.00055154745,0.8582929,0.00013171267,0.000099882476,0.000105877305,0.00010987125,0.0026210635,0.0013835243],"genre_scores_gemma":[0.9090788,0.0002563476,0.08897704,0.00004424415,0.000022886457,0.00005420979,0.00013920148,0.000035123252,0.001392289],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999706,0.000021532353,0.000021817086,0.00004882028,0.00017933868,0.000022510838],"domain_scores_gemma":[0.99946815,0.0000965402,0.000086133725,0.000038996135,0.0002863326,0.000023928327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024406983,0.0006096329,0.0004532585,0.0016621597,0.00032532416,0.00046166487,0.0005450064,0.0005319772,0.0007667624],"category_scores_gemma":[0.0011798133,0.00016205739,0.00028786226,0.0005398119,0.00027939386,0.0009623005,0.00037068984,0.00038119525,0.00029933456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046481224,0.00014757685,0.015498559,0.00031755125,0.000050101196,0.0005521951,0.00034971721,0.06359013,0.13499624,0.0018443719,0.0022211608,0.7799676],"study_design_scores_gemma":[0.000036273035,0.0004015555,0.01158184,0.000034970974,0.000050405622,0.0007529647,0.00018789376,0.87730265,0.10428353,0.0015644388,0.0037268393,0.00007674339],"about_ca_topic_score_codex":0.0027496715,"about_ca_topic_score_gemma":0.0032109334,"teacher_disagreement_score":0.0027496715,"about_ca_system_score_codex":0.00046533477,"about_ca_system_score_gemma":0.00043036236,"threshold_uncertainty_score":0.0054673553},"labels":[],"label_agreement":null},{"id":"W4321015911","doi":"10.1155/2023/1689075","title":"Multiparadigm Modeling Framework to Evaluate the Impacts of Travel Patterns on Electric Vehicle Battery Lifespan","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Department of Transportation","keywords":"Battery (electricity); Driving range; Electric vehicle; Warranty; Greenhouse gas; Range (aeronautics); Computer science; Battery capacity; Automotive engineering; Public transport; Incentive; Transport engineering; Environmental economics; Engineering; Power (physics); Economics","score_opus":0.025169864701061213,"score_gpt":0.3090452076692302,"score_spread":0.283875342968169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321015911","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.168049,0.00032021478,0.8146061,0.00067704316,0.00008456694,0.00025316607,0.0017876633,0.0012829625,0.0129393535],"genre_scores_gemma":[0.8908643,0.00034979137,0.101320826,0.00013996933,0.00003590564,0.00041682963,0.0010304676,0.00015027348,0.0056916974],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996325,0.00014898441,0.000018627945,0.00007175321,0.000067600326,0.00006063365],"domain_scores_gemma":[0.99933463,0.0003203676,0.00009464766,0.00004266418,0.0001694044,0.000038282382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009039457,0.0008190407,0.00062217534,0.0009327018,0.0005025628,0.000984565,0.0017025775,0.0012089428,0.0032748934],"category_scores_gemma":[0.0026734457,0.000531852,0.0014674831,0.0009580635,0.00044877717,0.0010292954,0.0010338259,0.0011253195,0.0003777411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008599567,0.000018620665,0.00085188186,0.0000092813125,0.000014801934,0.0000228601,0.000017532413,0.99422485,0.00018149785,0.0029669076,0.00017199645,0.0015110499],"study_design_scores_gemma":[0.0000019301854,0.0000061023625,0.00013335989,0.0000013929464,0.0000033711249,0.000004236709,0.000009065419,0.998852,0.000033463533,0.0007367091,0.0002159801,0.000002277952],"about_ca_topic_score_codex":0.06455442,"about_ca_topic_score_gemma":0.027129289,"teacher_disagreement_score":0.06455442,"about_ca_system_score_codex":0.0017477501,"about_ca_system_score_gemma":0.0016035356,"threshold_uncertainty_score":0.12835735},"labels":[],"label_agreement":null},{"id":"W4321072497","doi":"10.12968/s0047-9624(23)60426-2","title":"Battery Health Sensor","year":2022,"lang":"en","type":"article","venue":"New Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Battery (electricity); Computer science; Physics","score_opus":0.013913249391033297,"score_gpt":0.26472750431018516,"score_spread":0.2508142549191519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321072497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3746599,0.0033043802,0.35134193,0.0036140704,0.002739455,0.0012226594,0.012176441,0.025937716,0.22500347],"genre_scores_gemma":[0.90938514,0.00042367715,0.016157566,0.0011782595,0.00014109055,0.00025899147,0.0026396809,0.00020073121,0.06961482],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995241,0.00003143279,0.000022099604,0.00008655523,0.00029418236,0.000041644747],"domain_scores_gemma":[0.99967,0.00002499706,0.000030873787,0.00003175204,0.00022061018,0.000021810394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020448564,0.0005090728,0.0005034932,0.0005347306,0.0003677389,0.0005596045,0.00072899536,0.0005860349,0.008108938],"category_scores_gemma":[0.00044246178,0.00014610715,0.00020345548,0.00030308779,0.00012238167,0.0007311692,0.0005608259,0.0004392306,0.00312289],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010906138,0.00029645787,0.01838696,0.0008843164,0.000092975795,0.0006533447,0.00035841757,0.0041830395,0.37878817,0.0064718956,0.11023595,0.47855785],"study_design_scores_gemma":[0.00017348699,0.0015750823,0.03566005,0.00020970676,0.00014405308,0.0029214306,0.00041482836,0.10686477,0.5890761,0.0031341102,0.25971127,0.0001151426],"about_ca_topic_score_codex":0.000873173,"about_ca_topic_score_gemma":0.0014417822,"teacher_disagreement_score":0.008108938,"about_ca_system_score_codex":0.0003887967,"about_ca_system_score_gemma":0.00046422784,"threshold_uncertainty_score":0.027127147},"labels":[],"label_agreement":null},{"id":"W4321484098","doi":"10.2139/ssrn.4367193","title":"Experimental and Numerical Investigation on Thermal Characteristics of 2×3 Designed Battery Module","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Thermal; Reliability engineering; Electrical engineering; Nuclear engineering; Environmental science; Computer science; Engineering; Physics; Thermodynamics; Power (physics)","score_opus":0.017808568760634656,"score_gpt":0.25540952744218964,"score_spread":0.23760095868155498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321484098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9793356,0.00016674887,0.010674279,0.0001389892,0.000075594944,0.00003712419,0.0006745072,0.00036432678,0.008532723],"genre_scores_gemma":[0.9967906,0.000034104793,0.0012769226,0.000013055457,0.0000048335287,0.000022339098,0.00011521098,0.00002164833,0.0017211541],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998473,0.00001542292,0.0000069691187,0.00003060455,0.00007217566,0.000027495245],"domain_scores_gemma":[0.99978155,0.00006373849,0.000021028347,0.000031958163,0.000089239606,0.000012515186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019932675,0.00028291176,0.00032970167,0.00021987624,0.00038765586,0.000294083,0.0007150157,0.0005297344,0.0056551285],"category_scores_gemma":[0.00052514893,0.00016164842,0.00038705897,0.00031614382,0.00033690414,0.00048402048,0.00019179359,0.0002613941,0.0004563744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012896365,0.00031468712,0.010597921,0.0009464372,0.000079768986,0.0009428086,0.0009145769,0.21975295,0.7134882,0.0030812456,0.0053154933,0.043276295],"study_design_scores_gemma":[0.00012338463,0.0014737626,0.039594483,0.00007693634,0.00010541726,0.0004912828,0.00089230225,0.4431878,0.50418526,0.0012163419,0.008532933,0.00012006627],"about_ca_topic_score_codex":0.001015987,"about_ca_topic_score_gemma":0.0012520405,"teacher_disagreement_score":0.0056551285,"about_ca_system_score_codex":0.0003238268,"about_ca_system_score_gemma":0.00019588358,"threshold_uncertainty_score":0.018918335},"labels":[],"label_agreement":null},{"id":"W4321499697","doi":"10.1049/pel2.12468","title":"Robust control of a forward‐converter active battery cell balancing","year":2023,"lang":"en","type":"article","venue":"IET Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Robust control; Battery (electricity); Power electronics; Computer science; Control engineering; Control theory (sociology); Controller (irrigation); Generality; Robustness (evolution); Electronics; Quantitative feedback theory; Stability (learning theory); Control (management); Power (physics); Engineering; Control system; Voltage; Electrical engineering; Artificial intelligence","score_opus":0.008287101813297384,"score_gpt":0.2234687324835606,"score_spread":0.21518163067026322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321499697","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.103335805,0.00022538553,0.876623,0.00021041685,0.000095331445,0.00008390072,0.00010200297,0.0013649929,0.017959224],"genre_scores_gemma":[0.9919416,0.00004035635,0.0059932275,0.000020931247,0.000009642824,0.000027493044,0.000019101095,0.000016411179,0.0019311277],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997571,0.000035475012,0.000012171136,0.00006006828,0.00010645453,0.000028743201],"domain_scores_gemma":[0.9996952,0.00009327731,0.00007383037,0.000033343782,0.000092268434,0.000012090561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004800638,0.0004838311,0.00042206873,0.00028150593,0.0003164357,0.0009589686,0.0009760416,0.0004121953,0.002404494],"category_scores_gemma":[0.0005921896,0.00022279606,0.0003107106,0.00019183072,0.0004840315,0.00033843663,0.0005613303,0.0005152345,0.0003598399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040477145,0.0001238884,0.0004220851,0.00028853663,0.00007376221,0.0002032567,0.0002048538,0.71083254,0.18512018,0.01716157,0.0016363761,0.083528176],"study_design_scores_gemma":[0.000020665688,0.00013334,0.0001306696,0.0000067262145,0.00001057949,0.000020638076,0.000007340936,0.98618245,0.01161677,0.0009290372,0.0009340045,0.000007875885],"about_ca_topic_score_codex":0.0026160306,"about_ca_topic_score_gemma":0.0015160902,"teacher_disagreement_score":0.0026160306,"about_ca_system_score_codex":0.00046086393,"about_ca_system_score_gemma":0.00037017604,"threshold_uncertainty_score":0.008043766},"labels":[],"label_agreement":null},{"id":"W4322211801","doi":"10.1002/ese3.1434","title":"Decarbonization potential of future sustainable propulsion—A review of road transportation","year":2023,"lang":"en","type":"article","venue":"Energy Science & Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Greenhouse gas; Hydrogen vehicle; Automotive engineering; Renewable energy; Zero emission; Propulsion; Green vehicle; Internal combustion engine; Environmental science; Electric vehicle; Carbon neutrality; Electricity; Fuel efficiency; Hydrogen fuel; Engineering; Waste management; Electrical engineering; Aerospace engineering; Power (physics); Fuel cells","score_opus":0.0038198521134977332,"score_gpt":0.22260597956248693,"score_spread":0.2187861274489892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322211801","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005949834,0.9948265,0.0003072017,0.0003781461,0.0003085647,0.0000049548566,0.000025285572,0.0000057160137,0.0035485702],"genre_scores_gemma":[0.0038370744,0.995011,0.00016028954,0.000103249076,0.00020732544,0.00000415306,0.000025316662,0.0000015313045,0.0006500994],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99982613,0.00002967596,0.000019312156,0.000038340822,0.00006410876,0.00002243529],"domain_scores_gemma":[0.9996959,0.00012636157,0.000042421718,0.00000755684,0.00011101095,0.00001668188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003708415,0.0006151379,0.00063645747,0.0023289542,0.00027332085,0.0013611076,0.00050781225,0.0008497123,0.002463586],"category_scores_gemma":[0.00045646774,0.0002767665,0.0004110405,0.0029056654,0.00035236872,0.002028861,0.0005034711,0.00084321504,0.00075348705],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005782517,0.00010852606,0.00066688744,0.029031008,0.00011973189,0.0003293882,0.0001585278,0.004642855,0.0022968736,0.046921674,0.038175758,0.8774908],"study_design_scores_gemma":[0.000003317713,0.00012690888,0.0013238523,0.005935401,0.00007377855,0.00038971793,0.00019594941,0.00084650505,0.0007635704,0.007618281,0.98269445,0.00002821471],"about_ca_topic_score_codex":0.001629025,"about_ca_topic_score_gemma":0.0016895136,"teacher_disagreement_score":0.002463586,"about_ca_system_score_codex":0.0006785247,"about_ca_system_score_gemma":0.0011018404,"threshold_uncertainty_score":0.008241475},"labels":[],"label_agreement":null},{"id":"W4322505063","doi":"10.1016/j.applthermaleng.2023.120303","title":"A state-of-the art review on advancing battery thermal management systems for fast-charging","year":2023,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":257,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Automotive engineering; Materials science; Thermal; Thermal runaway; Nuclear engineering; Power (physics); Engineering","score_opus":0.010897589759600253,"score_gpt":0.2319516034359282,"score_spread":0.22105401367632793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322505063","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011287528,0.9909944,0.003604337,0.00036934938,0.00058037386,0.000026832315,0.00010138063,0.000058154128,0.0031363738],"genre_scores_gemma":[0.008675762,0.9867382,0.0020939286,0.00033046212,0.00055715034,0.000025606889,0.0002259519,0.00001738422,0.0013355009],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995912,0.000060624552,0.0000713455,0.0000946058,0.00014199439,0.000040225295],"domain_scores_gemma":[0.9990274,0.00053600414,0.00010144461,0.00003379238,0.0002647326,0.000036649253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007971142,0.0010587939,0.0013650098,0.0015347061,0.0002943666,0.0014919115,0.001196297,0.0009553445,0.0064951153],"category_scores_gemma":[0.0015917236,0.00037736297,0.0009858359,0.0022656217,0.00024322797,0.0024730265,0.0007647568,0.0008755908,0.0018559756],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002242913,0.00010070418,0.00039421115,0.052733775,0.00021861534,0.00014268573,0.00008263532,0.0021246343,0.0103222765,0.004811653,0.020900583,0.9079439],"study_design_scores_gemma":[0.000026501282,0.0006366693,0.0015902879,0.007925586,0.0008866438,0.0008066803,0.00016388971,0.0032734645,0.010894761,0.0035519975,0.97015005,0.0000934161],"about_ca_topic_score_codex":0.00072918914,"about_ca_topic_score_gemma":0.0011731236,"teacher_disagreement_score":0.0064951153,"about_ca_system_score_codex":0.00032376658,"about_ca_system_score_gemma":0.0011378423,"threshold_uncertainty_score":0.021728337},"labels":[],"label_agreement":null},{"id":"W4322619593","doi":"10.3390/wevj14030060","title":"Battery Pack Prospects for Long-Haul Transport Trucks Considering Electrified Highways and Megawatt Charging","year":2023,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; National Research Council Canada","funders":"Natural Resources Canada","keywords":"Truck; Electrification; Battery (electricity); Automotive engineering; Battery pack; Transport engineering; Battery capacity; Engineering; Power (physics); Environmental science; Electrical engineering; Electricity","score_opus":0.018145305097496598,"score_gpt":0.25118820240238465,"score_spread":0.23304289730488806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322619593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99135953,0.00017637835,0.0022748474,0.000056596706,0.0000067696283,0.000023809102,0.000103652084,0.000009202068,0.0059891907],"genre_scores_gemma":[0.997624,0.00012632343,0.00038556667,0.0000043243726,0.0000029052628,0.000008679511,0.00005825329,0.0000048382526,0.0017851798],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997346,0.000083371844,0.000009742717,0.00002821419,0.0000709762,0.000073066694],"domain_scores_gemma":[0.99907184,0.00056655,0.0000732779,0.000024609337,0.00019614129,0.00006754605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009355164,0.0002591847,0.00032968377,0.00071286503,0.00031773196,0.0018477996,0.00048596278,0.0006250702,0.0074147573],"category_scores_gemma":[0.001751652,0.00018748807,0.00045664966,0.0006425624,0.0003980641,0.0015938584,0.0005491085,0.00033741925,0.000459367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0040889084,0.00041064093,0.07729779,0.0005517926,0.00015080425,0.004018287,0.0005837854,0.78660196,0.029595826,0.029403005,0.0009824091,0.06631471],"study_design_scores_gemma":[0.00018867935,0.008237942,0.16023736,0.00018972952,0.0005425864,0.0015623284,0.012670772,0.7541733,0.027927512,0.022781802,0.011254129,0.00023392813],"about_ca_topic_score_codex":0.0025576549,"about_ca_topic_score_gemma":0.0060851853,"teacher_disagreement_score":0.0074147573,"about_ca_system_score_codex":0.00089441834,"about_ca_system_score_gemma":0.00045134485,"threshold_uncertainty_score":0.02480483},"labels":[],"label_agreement":null},{"id":"W4322620005","doi":"10.54097/hset.v32i.5176","title":"Comparison of Electric Vehicles and Hydrogen Fuel Cell Vehicles","year":2023,"lang":"en","type":"article","venue":"Highlights in Science Engineering and Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Zero emission; Automotive engineering; Greenhouse gas; Investment (military); Hydrogen vehicle; Hydrogen fuel; Battery (electricity); Environmental economics; Efficient energy use; Environmental science; Miles per gallon gasoline equivalent; Green vehicle; Fuel cells; Carbon fibers; Hydrogen; Business; Computer science; Engineering; Fuel efficiency; Waste management; Electrical engineering; Power (physics)","score_opus":0.013639985383451273,"score_gpt":0.2671111583079438,"score_spread":0.2534711729244925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322620005","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54954904,0.048696637,0.020465447,0.00139817,0.001616164,0.00025879842,0.01131394,0.00042944326,0.36627245],"genre_scores_gemma":[0.94777286,0.014203175,0.0045330017,0.00023338263,0.00020934474,0.00008644799,0.0075032725,0.00009252941,0.025366036],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99893326,0.00011414203,0.000041268755,0.00010390946,0.0006936748,0.000113736714],"domain_scores_gemma":[0.99925226,0.00022776851,0.000047044035,0.000024244779,0.0004233794,0.000025297017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043592072,0.00034517504,0.00032551837,0.0020962888,0.000273465,0.0011090623,0.00045941255,0.00040836222,0.006714986],"category_scores_gemma":[0.001362197,0.0000800945,0.000405912,0.0026400993,0.00017450389,0.0012504988,0.0003602796,0.0002250871,0.0011479498],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034288024,0.0005051497,0.08720361,0.0043423087,0.0006213921,0.00068548124,0.00035348468,0.069832146,0.01791341,0.05680631,0.047344483,0.7109633],"study_design_scores_gemma":[0.0002102347,0.0038099189,0.33061486,0.0007579887,0.0005403763,0.0010499017,0.0055888803,0.0506517,0.029494086,0.024233414,0.5528733,0.00017532881],"about_ca_topic_score_codex":0.0065970174,"about_ca_topic_score_gemma":0.0077907178,"teacher_disagreement_score":0.006714986,"about_ca_system_score_codex":0.0009606316,"about_ca_system_score_gemma":0.00041636865,"threshold_uncertainty_score":0.022463918},"labels":[],"label_agreement":null},{"id":"W4322627635","doi":"10.1021/acs.jpcc.2c08274","title":"Solution NMR of Battery Electrolytes: Assessing and Mitigating Spectral Broadening Caused by Transition Metal Dissolution","year":2023,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Royal Society; Faraday Institution","keywords":"Dissolution; Electrolyte; Battery (electricity); Transition metal; Materials science; Inorganic chemistry; Metal; Chemical engineering; Chemical physics; Chemistry; Physical chemistry; Thermodynamics; Metallurgy; Electrode; Physics; Engineering; Organic chemistry; Catalysis","score_opus":0.01147318062562076,"score_gpt":0.2644185288745187,"score_spread":0.25294534824889797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322627635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9016713,0.0036052917,0.084878586,0.0005760657,0.00045108094,0.0001249045,0.00063030975,0.000746126,0.007316315],"genre_scores_gemma":[0.92063075,0.0049502836,0.06584182,0.0005423814,0.0001285006,0.00018633109,0.0007898364,0.00020482586,0.0067252335],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998016,0.000031956424,0.000012233332,0.00004804759,0.00006909497,0.00003708219],"domain_scores_gemma":[0.9997259,0.000062449646,0.000032713768,0.000023761877,0.00013008315,0.000025130139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003792213,0.0004583009,0.00023622363,0.0003032098,0.0004002839,0.0004317107,0.0003976721,0.0009138136,0.001430359],"category_scores_gemma":[0.0008381315,0.00022624811,0.00014398103,0.0002848472,0.0003036414,0.0005939467,0.00030613565,0.0008812547,0.00042998922],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006297389,0.000018323268,0.00016184831,0.00006949063,0.0000052570035,0.000034365665,0.000050608905,0.000060849077,0.995417,0.00008063083,0.00014360312,0.0038950206],"study_design_scores_gemma":[0.000008616618,0.00021074811,0.0011701905,0.000019841378,0.000015532929,0.00014964487,0.00010859728,0.001603693,0.993948,0.000118142336,0.0026360378,0.000010954858],"about_ca_topic_score_codex":0.0011792739,"about_ca_topic_score_gemma":0.0026593616,"teacher_disagreement_score":0.001430359,"about_ca_system_score_codex":0.0001745921,"about_ca_system_score_gemma":0.00035957035,"threshold_uncertainty_score":0.004785061},"labels":[],"label_agreement":null},{"id":"W4322730796","doi":"10.1016/j.trd.2023.103672","title":"Comparative lifecycle costs and emissions of electrified powertrains for light-duty logistics trucks","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Powertrain; Truck; Automotive engineering; Battery (electricity); Environmental science; Electrification; Fuel efficiency; Waste management; Environmental economics; Business; Engineering; Electricity; Power (physics); Electrical engineering","score_opus":0.07476158668555556,"score_gpt":0.34260955010826283,"score_spread":0.2678479634227073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322730796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964516,0.00013599357,0.0002443448,0.000025770705,0.000004962705,0.000009112156,0.00058807764,0.000004605475,0.002535454],"genre_scores_gemma":[0.99680907,0.00008920522,0.00016766303,0.0000059783033,0.0000020423795,0.000008225273,0.0008638109,0.000004889336,0.0020492016],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961555,0.00007382991,0.000021510969,0.0000465603,0.00012495408,0.0001174342],"domain_scores_gemma":[0.99873465,0.000617701,0.00015960568,0.0000675315,0.0003471266,0.00007323878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006548617,0.00024006469,0.00030344285,0.0013302363,0.0005221171,0.0011669474,0.0006628382,0.0004143728,0.0077480474],"category_scores_gemma":[0.0018031253,0.00021878292,0.0010132582,0.0012952283,0.00032486545,0.0016650526,0.00040239372,0.00035788727,0.00042178994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.021553826,0.0016627032,0.51342,0.0010219907,0.00097020663,0.0017436069,0.0009923145,0.2713361,0.038982067,0.017858217,0.0041074688,0.12635155],"study_design_scores_gemma":[0.00025665684,0.003376124,0.87737316,0.00013914192,0.0008790631,0.00058050465,0.0060005416,0.069931634,0.026910244,0.005829073,0.008526187,0.0001976655],"about_ca_topic_score_codex":0.01563236,"about_ca_topic_score_gemma":0.03034061,"teacher_disagreement_score":0.01563236,"about_ca_system_score_codex":0.0022009485,"about_ca_system_score_gemma":0.0007058067,"threshold_uncertainty_score":0.03108275},"labels":[],"label_agreement":null},{"id":"W4322766225","doi":"10.1016/j.applthermaleng.2023.120320","title":"Improving the cooling performance of cylindrical lithium-ion battery using three passive methods in a battery thermal management system","year":2023,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":139,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Materials science; Phase-change material; Heat transfer; Thermal; Lithium-ion battery; Fin; Metal foam; Mechanics; Thermodynamics; Mechanical engineering; Composite material; Metal; Power (physics); Engineering; Physics; Metallurgy","score_opus":0.018756055273902016,"score_gpt":0.26052003080453034,"score_spread":0.24176397553062834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322766225","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9817815,0.000563706,0.015547271,0.00007182811,0.00005085473,0.000022656033,0.00005319994,0.00020291982,0.0017059093],"genre_scores_gemma":[0.9947885,0.00019472478,0.003273156,0.000017473294,0.000011186386,0.000023626557,0.00004242783,0.000027353524,0.0016216167],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998909,0.000013763354,0.000007311503,0.000026311409,0.000041982526,0.000019711655],"domain_scores_gemma":[0.9998858,0.000020407071,0.00001674906,0.000013830295,0.000053852506,0.000009277884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018318361,0.00030643409,0.0004029607,0.00018795201,0.00033425467,0.00031198343,0.0005891445,0.00022271113,0.0012362706],"category_scores_gemma":[0.00025649628,0.00016186466,0.00021393385,0.00024421603,0.0002357037,0.0006277879,0.0002552847,0.00018745947,0.00020667358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005695957,0.0000508462,0.00069059775,0.00019924586,0.0000082528495,0.000039013175,0.00010393419,0.0013026306,0.9821467,0.00027861007,0.00031135997,0.0142992195],"study_design_scores_gemma":[0.000058630947,0.0008795502,0.0054041757,0.00001103344,0.00004667406,0.0001078453,0.000080496175,0.022499528,0.96743304,0.00008730806,0.0033612442,0.000030499217],"about_ca_topic_score_codex":0.0005067748,"about_ca_topic_score_gemma":0.00095314387,"teacher_disagreement_score":0.0012362706,"about_ca_system_score_codex":0.00019367078,"about_ca_system_score_gemma":0.00029421202,"threshold_uncertainty_score":0.004135728},"labels":[],"label_agreement":null},{"id":"W4323020986","doi":"10.1541/ieejjia.22004793","title":"Machine Learning-based Remaining Useful Life Prediction Techniques for Lithium-ion Battery Management Systems: A Comprehensive Review","year":2023,"lang":"en","type":"review","venue":"IEEJ Journal of Industry Applications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Reliability engineering; Computer science; Adaptability; Battery (electricity); Battery pack; Electronics; Prognostics; Power (physics); Engineering; Electrical engineering","score_opus":0.09758946708659041,"score_gpt":0.3651667705123752,"score_spread":0.2675773034257848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323020986","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011214725,0.99024653,0.0061668665,0.00023540127,0.00024358186,0.000020484407,0.000063950356,0.00006247788,0.0018392182],"genre_scores_gemma":[0.00963331,0.9838552,0.0046539884,0.00014176837,0.00033504577,0.000029867302,0.00016278101,0.000013445952,0.0011745892],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99972326,0.000032940967,0.000042446958,0.000069956775,0.00011154333,0.000019795903],"domain_scores_gemma":[0.9992951,0.00035196188,0.000076701064,0.0000238842,0.00023210362,0.000020243868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076703465,0.0010666212,0.0013393328,0.0019063306,0.00019843077,0.00093632785,0.0010761408,0.00090832735,0.002082515],"category_scores_gemma":[0.0015185855,0.00038846862,0.001096119,0.0025731593,0.00024595714,0.0015430923,0.00044780242,0.00091485813,0.0010954572],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004772215,0.00010352585,0.0005074848,0.010348149,0.00014504201,0.0000829939,0.00004415405,0.004540526,0.0016113772,0.0025217046,0.008848299,0.971199],"study_design_scores_gemma":[0.000044724962,0.0010269539,0.0069615627,0.011190031,0.0015194151,0.002101888,0.00025052458,0.0312475,0.009309917,0.008065741,0.92802835,0.00025336267],"about_ca_topic_score_codex":0.0016055087,"about_ca_topic_score_gemma":0.0011525479,"teacher_disagreement_score":0.002082515,"about_ca_system_score_codex":0.00034634076,"about_ca_system_score_gemma":0.0007907961,"threshold_uncertainty_score":0.0069667697},"labels":[],"label_agreement":null},{"id":"W4323065994","doi":"10.1109/ojpel.2023.3251992","title":"On-Board Chargers for High-Voltage Electric Vehicle Powertrains: Future Trends and Challenges","year":2023,"lang":"en","type":"article","venue":"IEEE Open Journal of Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":114,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Powertrain; Automotive engineering; High voltage; Electric vehicle; Voltage; Electrical engineering; Engineering; Torque; Physics; Power (physics)","score_opus":0.022511753891450086,"score_gpt":0.2882667080089138,"score_spread":0.2657549541174637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323065994","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029555405,0.83842397,0.063918434,0.005720455,0.0016233458,0.000098814875,0.00035936278,0.00045626648,0.059843984],"genre_scores_gemma":[0.15262218,0.7796201,0.03760594,0.0023485424,0.0011540292,0.00007553172,0.0008308447,0.00023105985,0.025511751],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99912316,0.00010150717,0.000060393097,0.0001415767,0.0004950678,0.00007829352],"domain_scores_gemma":[0.9985072,0.0004928494,0.00011267629,0.00006897262,0.0007661293,0.000052104784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012413309,0.0004760156,0.00042802622,0.0010837539,0.00028354686,0.00204945,0.0011558358,0.0012483525,0.0036254127],"category_scores_gemma":[0.0014142683,0.00031678827,0.00042801397,0.0014696746,0.00037825093,0.003935538,0.0006883249,0.0011957518,0.0016576201],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081222555,0.00009032662,0.0016414785,0.006749621,0.000040364328,0.00023499588,0.00025530122,0.0044279597,0.015888097,0.035293277,0.0133464625,0.9219509],"study_design_scores_gemma":[0.000008263539,0.0004163276,0.0022498986,0.0022237077,0.00010631342,0.0013510315,0.00091923855,0.0064313468,0.014991817,0.013980669,0.9572687,0.00005270792],"about_ca_topic_score_codex":0.0006633834,"about_ca_topic_score_gemma":0.0011390575,"teacher_disagreement_score":0.0036254127,"about_ca_system_score_codex":0.0006256856,"about_ca_system_score_gemma":0.000861496,"threshold_uncertainty_score":0.012128234},"labels":[],"label_agreement":null},{"id":"W4323536590","doi":"10.4271/2023-01-0990","title":"Numerical Analysis of Battery Thermal Management System Using Passive Cooling Technique","year":2023,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Automotive engineering; Electric vehicle; Thermal; Phase-change material; Electrical engineering; Nuclear engineering; Mechanical engineering; Environmental science; Computer science; Engineering; Physics; Meteorology; Thermodynamics; Power (physics)","score_opus":0.017594211627300578,"score_gpt":0.2735847141658357,"score_spread":0.2559905025385351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323536590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5834367,0.0014891047,0.2843366,0.0013150638,0.0002680023,0.00022573437,0.00080826785,0.0009370806,0.12718347],"genre_scores_gemma":[0.97572315,0.00028137464,0.013619489,0.00004649339,0.000019238976,0.0001201573,0.00012950302,0.000037721074,0.010022835],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999058,0.000015681913,0.0000040029267,0.000013548832,0.000043867494,0.000017035778],"domain_scores_gemma":[0.9998474,0.000062367246,0.000021799498,0.000011415309,0.000050055784,0.0000068772874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016232819,0.00027289565,0.00038912895,0.0002908943,0.00042809825,0.0004772068,0.0004844017,0.000660511,0.0033971467],"category_scores_gemma":[0.00049653027,0.00018613486,0.0004689611,0.00029758996,0.00048502543,0.00038314675,0.00027381067,0.0002690689,0.00028785624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053815456,0.000019795429,0.0008210331,0.00012312808,0.000010658586,0.00013398338,0.00006854449,0.97473246,0.013269867,0.004014696,0.00078246713,0.005969499],"study_design_scores_gemma":[0.000005856588,0.000020327832,0.00019933927,0.000006141387,0.000002956336,0.000015305159,0.000017745137,0.99778026,0.0011236374,0.00029120487,0.00053359516,0.0000035934488],"about_ca_topic_score_codex":0.004718324,"about_ca_topic_score_gemma":0.0029643688,"teacher_disagreement_score":0.004718324,"about_ca_system_score_codex":0.0004408306,"about_ca_system_score_gemma":0.00059334724,"threshold_uncertainty_score":0.011364579},"labels":[],"label_agreement":null},{"id":"W4323838259","doi":"10.1049/rpg2.12656","title":"Design of smart battery charging circuit via photovoltaic for hybrid electric vehicle","year":2023,"lang":"en","type":"article","venue":"IET Renewable Power Generation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Maximum power point tracking; Photovoltaic system; Battery (electricity); Buck converter; Maximum power principle; Computer science; Control theory (sociology); Electrical engineering; Electric vehicle; Voltage; Automotive engineering; Power (physics); Engineering; Inverter; Physics","score_opus":0.037947820925537404,"score_gpt":0.2549350529880262,"score_spread":0.21698723206248882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323838259","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.095823355,0.00058717,0.8743617,0.00037082567,0.00029095367,0.0001889136,0.00009741889,0.002015782,0.026263827],"genre_scores_gemma":[0.9509521,0.0001629975,0.042228483,0.000120319164,0.000032999065,0.00007404397,0.00004226344,0.000026995847,0.006359751],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999169,0.000011097743,0.0000035062421,0.00002161688,0.000036181376,0.000010628958],"domain_scores_gemma":[0.9999474,0.00000654162,0.0000060617567,0.000006172843,0.000029241724,0.0000045270926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006984486,0.0001656918,0.00022066841,0.00017503984,0.000263345,0.0003434154,0.00068265153,0.0004632527,0.0026850826],"category_scores_gemma":[0.000106190746,0.0001289037,0.0001904836,0.00014671458,0.00011921373,0.00026564914,0.00016877872,0.00016680126,0.0005388655],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003220003,0.00017343549,0.0015113298,0.0005532236,0.00014273955,0.0006676692,0.00021753124,0.09415961,0.5292432,0.02193553,0.0068617943,0.34421197],"study_design_scores_gemma":[0.000113992275,0.0008504801,0.0021595398,0.000044214048,0.000087921915,0.00068634516,0.000083145205,0.8001673,0.1401965,0.0053274552,0.050238833,0.000044182598],"about_ca_topic_score_codex":0.0004511726,"about_ca_topic_score_gemma":0.00059027143,"teacher_disagreement_score":0.0026850826,"about_ca_system_score_codex":0.00026799666,"about_ca_system_score_gemma":0.00016882218,"threshold_uncertainty_score":0.00898248},"labels":[],"label_agreement":null},{"id":"W4324026187","doi":"10.1016/j.ijheatmasstransfer.2023.124058","title":"Analysis of nanofluid flow and heat transfer behavior of Li-ion battery modules","year":2023,"lang":"en","type":"article","venue":"International Journal of Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department of Mechanical Engineering, University of Alberta; Srinakharinwirot University","keywords":"Coolant; Battery pack; Battery (electricity); Materials science; Nuclear engineering; Temperature gradient; Thermodynamics; Heat transfer; Operating temperature; Mechanics; Thermal; Power (physics); Physics","score_opus":0.015591914334099444,"score_gpt":0.2713488142219752,"score_spread":0.25575689988787575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324026187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99624497,0.000089195986,0.0024655038,0.000020728454,0.00000707793,0.000007677638,0.00015136632,0.00008508178,0.0009282552],"genre_scores_gemma":[0.99882203,0.00002904011,0.00037995607,0.0000056729755,0.0000017454983,0.000006986622,0.00009097238,0.000007965211,0.0006555824],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99995375,0.0000030949757,0.0000022441095,0.000012145513,0.000018912648,0.000009845609],"domain_scores_gemma":[0.9999274,0.000023747953,0.000010297422,0.000004312278,0.000028179962,0.000006103831],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000091384565,0.00016266613,0.00017253865,0.00029563392,0.00023078249,0.00020057496,0.00021680334,0.00024242392,0.0016749637],"category_scores_gemma":[0.0001759258,0.00007502888,0.0002176766,0.0001916916,0.00014697053,0.000359601,0.000094725925,0.00013731404,0.00019328835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005722777,0.00009704354,0.008566726,0.000111247806,0.000015998728,0.00014314051,0.00015371712,0.010331572,0.9636406,0.0003637372,0.0003896609,0.015614242],"study_design_scores_gemma":[0.000016753187,0.0003899989,0.046343584,0.000014430806,0.000028839611,0.000090436806,0.00017480663,0.12595746,0.82545185,0.000194612,0.0013135127,0.000023790608],"about_ca_topic_score_codex":0.0012553206,"about_ca_topic_score_gemma":0.0009755405,"teacher_disagreement_score":0.0016749637,"about_ca_system_score_codex":0.00033474067,"about_ca_system_score_gemma":0.00013464887,"threshold_uncertainty_score":0.005603254},"labels":[],"label_agreement":null},{"id":"W4327774178","doi":"10.1109/iihc55949.2022.10060791","title":"Unity Power Factor Operation for Non Linear Load Applications Using Interleaved Manitoba Rectifier","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Power factor; Harmonics; Rectifier (neural networks); Controller (irrigation); Computer science; Power (physics); Voltage; Control theory (sociology); Generator (circuit theory); Pulse-width modulation; Battery (electricity); Schedule; Automotive engineering; Electrical engineering; Engineering; Control (management); Physics","score_opus":0.04495068241756931,"score_gpt":0.31225276513054834,"score_spread":0.267302082712979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327774178","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3112815,0.0009232893,0.6253622,0.00027743436,0.00010972453,0.00018802947,0.00018947582,0.0029091055,0.058759257],"genre_scores_gemma":[0.9611402,0.00022784609,0.024641406,0.000030261153,0.00001459,0.000027098307,0.00010639712,0.000077472316,0.013734779],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991024,0.000014108194,0.0000063739913,0.000021559132,0.000033750166,0.0000140164375],"domain_scores_gemma":[0.9999391,0.000010164603,0.000006267673,0.000010601689,0.000030148476,0.000003644591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011422461,0.0002778052,0.00023451586,0.00022203856,0.0003441425,0.0005758722,0.0007323515,0.00018266663,0.006735413],"category_scores_gemma":[0.00013010786,0.00011654667,0.00019866417,0.00052896043,0.00015737428,0.00050571223,0.00030036512,0.00032799647,0.0015273526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010909392,0.00032323165,0.005408323,0.0006158859,0.00008363048,0.0010554737,0.0010600551,0.027489726,0.53787553,0.015246317,0.004452859,0.40529808],"study_design_scores_gemma":[0.00016364537,0.0012845537,0.009712729,0.00010358771,0.00017421071,0.0017894724,0.0008113006,0.5336925,0.37079263,0.007445136,0.073943816,0.00008650942],"about_ca_topic_score_codex":0.0028755933,"about_ca_topic_score_gemma":0.0073810103,"teacher_disagreement_score":0.006735413,"about_ca_system_score_codex":0.0003563926,"about_ca_system_score_gemma":0.00036362663,"threshold_uncertainty_score":0.022532225},"labels":[],"label_agreement":null},{"id":"W4360584337","doi":"10.1109/tvt.2023.3260466","title":"Battery States Monitoring for Electric Vehicles Based on Transferred Multi-Task Learning","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Battery (electricity); State of charge; Task (project management); Computer science; Artificial neural network; Energy management; Engineering; State (computer science); Real-time computing; Automotive engineering; Simulation; Artificial intelligence; Energy (signal processing); Power (physics); Algorithm","score_opus":0.02134755857794351,"score_gpt":0.27521356018603516,"score_spread":0.25386600160809164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360584337","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12188285,0.00045065806,0.8722912,0.00020767718,0.00009200515,0.00007488045,0.0001474234,0.0019320067,0.0029212574],"genre_scores_gemma":[0.96209264,0.00008835167,0.035921913,0.00008571484,0.000025050957,0.0000701444,0.00021635585,0.000031660187,0.0014682831],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99975675,0.00003408384,0.000014219687,0.00008318617,0.0000637126,0.00004801049],"domain_scores_gemma":[0.9996457,0.00009149393,0.000047813945,0.000038873946,0.00015191661,0.000024233585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041947994,0.00077021937,0.0005109651,0.00042898717,0.00029061848,0.00046360606,0.0010431395,0.0005161992,0.00081031356],"category_scores_gemma":[0.00139237,0.00021486252,0.00037597926,0.00040207125,0.0002515657,0.0009993088,0.0007522423,0.000719294,0.00031050097],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030785287,0.00035445765,0.0049689133,0.00010602839,0.00006754361,0.00017312761,0.00011458697,0.5090026,0.01364617,0.0013263974,0.0026007262,0.46733153],"study_design_scores_gemma":[0.00000427903,0.000033448676,0.0005292261,0.0000022256468,0.0000041526264,0.0000128613965,0.00000988692,0.99619627,0.00220259,0.0008089256,0.00019135566,0.00000477814],"about_ca_topic_score_codex":0.0053243735,"about_ca_topic_score_gemma":0.0044779796,"teacher_disagreement_score":0.0053243735,"about_ca_system_score_codex":0.00046031555,"about_ca_system_score_gemma":0.000626719,"threshold_uncertainty_score":0.010586739},"labels":[],"label_agreement":null},{"id":"W4360603581","doi":"10.1149/1945-7111/acc6f6","title":"Lithium-ion Differential Thermal Analysis Studies of the Effects of Long-Term Li-ion Cell Storage on Electrolyte Composition and Implications for Cell State of Health","year":2023,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Electrolyte; Lithium (medication); Ion; Chemistry; Electrode; Degradation (telecommunications); Analytical Chemistry (journal); Materials science; Electrical engineering; Chromatography; Physical chemistry","score_opus":0.011474671385473666,"score_gpt":0.2889297609963093,"score_spread":0.27745508961083565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360603581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898012,0.0015931638,0.005442359,0.00006808137,0.000022942419,0.000022164464,0.00063150265,0.00007435216,0.0023442914],"genre_scores_gemma":[0.99649245,0.000405672,0.0013434229,0.000021011683,0.000004999782,0.000018618284,0.00026193823,0.000013472275,0.0014384729],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998149,0.000016298925,0.000014651885,0.000036283483,0.0000845056,0.000033372526],"domain_scores_gemma":[0.9996145,0.000110687004,0.00005482807,0.000040648974,0.00016007264,0.000019279383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039306,0.00023208882,0.0002771129,0.0005186227,0.00031901253,0.0003472167,0.0003251812,0.00027711768,0.0016434188],"category_scores_gemma":[0.00059978786,0.00010500767,0.00020555613,0.00061021186,0.00034001598,0.00046454504,0.00018653712,0.0003551341,0.00023320988],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015385648,0.000024706856,0.004162967,0.000099628385,0.000017263255,0.00009474756,0.00016627382,0.0006248591,0.9876338,0.00020749768,0.00010636847,0.0067079714],"study_design_scores_gemma":[0.000002146825,0.0001754174,0.015483846,0.000008804812,0.000014455603,0.00016381478,0.00013200285,0.0022225722,0.9807227,0.00008208063,0.0009809358,0.000011190097],"about_ca_topic_score_codex":0.001732712,"about_ca_topic_score_gemma":0.0028882006,"teacher_disagreement_score":0.001732712,"about_ca_system_score_codex":0.000499606,"about_ca_system_score_gemma":0.00017252516,"threshold_uncertainty_score":0.005497813},"labels":[],"label_agreement":null},{"id":"W4361852477","doi":"10.1109/icngis54955.2022.10079853","title":"Keynotes and Tutorials","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Computer science; Computer graphics (images)","score_opus":0.013492386982621882,"score_gpt":0.2464166352782866,"score_spread":0.23292424829566472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361852477","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012743797,0.05346738,0.019233817,0.023461292,0.31497017,0.00044516183,0.0030745503,0.003895294,0.580178],"genre_scores_gemma":[0.004792209,0.02697354,0.004141584,0.006690989,0.06349943,0.0002451376,0.0034034112,0.0014854493,0.8887683],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990289,0.00014257802,0.00007155496,0.000192259,0.00043829382,0.00012637196],"domain_scores_gemma":[0.9977568,0.0005363245,0.00010140654,0.00017809951,0.00075520214,0.00067216164],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013174163,0.0017961302,0.0013357259,0.0025432354,0.0016738351,0.0050953976,0.0017418739,0.001958446,0.4621249],"category_scores_gemma":[0.0056341216,0.0004317554,0.0011844147,0.0023865472,0.0005775922,0.004776929,0.00318069,0.003393292,0.41436365],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055139404,0.000048084825,0.00005634046,0.00026273224,0.0000051291254,0.000065255925,0.000069001406,0.00012990965,0.00062358,0.006087298,0.9024819,0.09011567],"study_design_scores_gemma":[0.0000038011017,0.000022140497,0.0000746773,0.000117980155,0.0000031748611,0.00008995766,0.000040645667,0.000046989677,0.000104243096,0.001748516,0.9977417,0.000006149706],"about_ca_topic_score_codex":0.0010154186,"about_ca_topic_score_gemma":0.001645951,"teacher_disagreement_score":0.4621249,"about_ca_system_score_codex":0.0013241917,"about_ca_system_score_gemma":0.0013061384,"threshold_uncertainty_score":0.7672135},"labels":[],"label_agreement":null},{"id":"W4361988838","doi":"10.1051/e3sconf/202337604021","title":"Forecast of the development of demand for charging points for electric vehicles in Russian cities","year":2023,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Zero emission; Electric cars; Greenhouse gas; Electric vehicle; Quarter (Canadian coin); Fossil fuel; Environmental economics; Transport engineering; Green vehicle; Scale (ratio); Business; Engineering; Fuel efficiency; Automotive engineering; Economics; Electrical engineering","score_opus":0.04062913473300388,"score_gpt":0.28208312460813256,"score_spread":0.24145398987512867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361988838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9426329,0.0009511156,0.0068289335,0.0013459323,0.00011787248,0.000041808496,0.016824076,0.00036710742,0.030890271],"genre_scores_gemma":[0.9898844,0.0005798325,0.0007642808,0.000029994442,0.000016631635,0.000018387384,0.004345498,0.00001471034,0.0043463167],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998374,0.00002542069,0.000012071104,0.000028596847,0.000053703734,0.00004276387],"domain_scores_gemma":[0.9996611,0.000041457777,0.00004649786,0.000011689009,0.00019930805,0.000040002626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002555599,0.00044243605,0.0002499195,0.00077511655,0.00026893013,0.0006751138,0.00040385997,0.00045391358,0.0027100323],"category_scores_gemma":[0.0005580875,0.00019573256,0.00056787883,0.000784192,0.00010347383,0.00060036074,0.00034156832,0.00048673627,0.0009999969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033477068,0.00019889798,0.55253744,0.00045683037,0.00016800514,0.0019279683,0.0006768541,0.33649066,0.009339968,0.01485276,0.03367401,0.049341775],"study_design_scores_gemma":[0.000033016277,0.0002125385,0.5898601,0.000102328,0.00013115928,0.0004168923,0.0015248551,0.35834366,0.0031050683,0.0029504972,0.043236293,0.000083544925],"about_ca_topic_score_codex":0.039639585,"about_ca_topic_score_gemma":0.025128296,"teacher_disagreement_score":0.039639585,"about_ca_system_score_codex":0.0017112585,"about_ca_system_score_gemma":0.000773424,"threshold_uncertainty_score":0.078817725},"labels":[],"label_agreement":null},{"id":"W4362473310","doi":"10.3390/en16073133","title":"Assessing the Limits of Equivalent Circuit Models and Kalman Filters for Estimating the State of Charge: Case of Agricultural Robots","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Ministère des relations internationales et de la Francophonie","keywords":"Battery (electricity); State of charge; Robot; Thévenin's theorem; Extended Kalman filter; Computer science; Kalman filter; Lithium iron phosphate; Equivalent circuit; Engineering; Simulation; Automotive engineering; Electrical engineering; Voltage; Artificial intelligence","score_opus":0.08878424573560582,"score_gpt":0.3389121377716034,"score_spread":0.25012789203599756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362473310","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33554423,0.0020941137,0.65311855,0.00047889803,0.00007305726,0.00009910491,0.0002464319,0.0012412658,0.007104488],"genre_scores_gemma":[0.97818863,0.00040896228,0.020229321,0.000040814386,0.000011568444,0.0000694541,0.00011205278,0.00004090463,0.0008982412],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988483,0.00033232095,0.0000861972,0.00022323104,0.0003740931,0.00013580565],"domain_scores_gemma":[0.9945285,0.0037598864,0.0004084049,0.0004887937,0.000766378,0.000048038793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002135961,0.0010224881,0.0008837129,0.00085671747,0.0004281468,0.0012134562,0.00090129045,0.0017831136,0.0008388998],"category_scores_gemma":[0.012775914,0.00042381344,0.00058779755,0.00043343374,0.00072559254,0.0022340075,0.0008508806,0.00088982855,0.0002972905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050726184,0.00008380111,0.0073783146,0.00045456828,0.00012505529,0.0004646179,0.0003109297,0.90031534,0.0080605475,0.0037722732,0.00059134606,0.077935904],"study_design_scores_gemma":[0.000013124762,0.00013159009,0.0022496865,0.000050940438,0.00003791248,0.00012887188,0.00011009075,0.98885965,0.0057407967,0.0016931127,0.00095843273,0.000025833484],"about_ca_topic_score_codex":0.016983207,"about_ca_topic_score_gemma":0.008699641,"teacher_disagreement_score":0.016983207,"about_ca_system_score_codex":0.0006998406,"about_ca_system_score_gemma":0.0006909552,"threshold_uncertainty_score":0.033768713},"labels":[],"label_agreement":null},{"id":"W4362662146","doi":"10.1016/j.est.2023.107253","title":"Battery thermal runaway propagation time delay strategy using phase change material integrated with pyro block lining: Dual functionality battery thermal design","year":2023,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Thermal runaway; Thermal; Battery (electricity); Battery pack; Phase-change material; Materials science; Electrical engineering; Engineering; Physics; Thermodynamics; Power (physics)","score_opus":0.06115952771638255,"score_gpt":0.28248626635722734,"score_spread":0.2213267386408448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362662146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6555298,0.0011439992,0.3257922,0.0003420546,0.00025302908,0.00012879966,0.00014852444,0.0013341527,0.015327354],"genre_scores_gemma":[0.9782718,0.00015280946,0.018015653,0.000029462535,0.0000107362575,0.000023982426,0.000026627542,0.000037775557,0.0034311838],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999465,0.0000032557118,0.0000021448543,0.000014645793,0.000021353364,0.000012147209],"domain_scores_gemma":[0.99991965,0.000006183076,0.000018676348,0.000010801189,0.000034708715,0.000009905945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000814459,0.00029893185,0.00018914718,0.00015771574,0.00018241009,0.00031188736,0.0008107446,0.0002698198,0.0012964668],"category_scores_gemma":[0.00012439984,0.00012543579,0.00014919626,0.00013404487,0.00012316722,0.00054295943,0.00024665202,0.00027831527,0.00031629545],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031084364,0.00009020007,0.0003336039,0.00015336934,0.000016346235,0.00013289921,0.00004795929,0.012141462,0.9470176,0.003737186,0.0006222641,0.035396293],"study_design_scores_gemma":[0.000037542963,0.0010701744,0.0008055471,0.0000152578095,0.000049033897,0.00033914397,0.00003880732,0.13595596,0.8536054,0.0009134889,0.007144352,0.000025303947],"about_ca_topic_score_codex":0.0003106416,"about_ca_topic_score_gemma":0.00083463645,"teacher_disagreement_score":0.0012964668,"about_ca_system_score_codex":0.0003032569,"about_ca_system_score_gemma":0.00030960972,"threshold_uncertainty_score":0.0043370724},"labels":[],"label_agreement":null},{"id":"W4362676655","doi":"10.1016/j.ijoes.2023.100137","title":"Estimating the state of health of lithium-ion batteries based on a probability density function","year":2023,"lang":"en","type":"article","venue":"International Journal of Electrochemical Science","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Lithium (medication); Ion; Probability density function; Function (biology); State (computer science); Statistics; Environmental science; Computer science; Mathematics; Medicine; Chemistry; Internal medicine; Algorithm; Biology","score_opus":0.01938167246094924,"score_gpt":0.30658573370896675,"score_spread":0.2872040612480175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362676655","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15279593,0.00020697953,0.8446594,0.00009885431,0.000012087023,0.000038226906,0.00013859605,0.0010438651,0.0010061229],"genre_scores_gemma":[0.97291136,0.0002082783,0.026150849,0.000023371565,0.000008565624,0.00003147298,0.00013214313,0.000026821761,0.00050718896],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998373,0.000044111828,0.000009079892,0.00003157194,0.000061443054,0.00001646086],"domain_scores_gemma":[0.9994821,0.00031012637,0.00007001197,0.000035323887,0.000092446484,0.0000099760155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052210386,0.00043021492,0.00034880507,0.0006643903,0.00011797543,0.0004481855,0.00042073103,0.00055809336,0.00051479833],"category_scores_gemma":[0.002365417,0.00020300785,0.00037932486,0.00036573416,0.00033531146,0.0009147675,0.00026813138,0.00030203638,0.00017756812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000110369845,0.00004095584,0.008908863,0.000070433955,0.000046849465,0.00009096343,0.00007937445,0.90425724,0.017668037,0.0017414966,0.00038025703,0.06660518],"study_design_scores_gemma":[0.0000016603093,0.000016442078,0.0017894843,0.0000032637524,0.0000051008246,0.000019151687,0.000006166621,0.9950336,0.0025643902,0.0004550215,0.00009671383,0.000009008914],"about_ca_topic_score_codex":0.003269946,"about_ca_topic_score_gemma":0.0016146416,"teacher_disagreement_score":0.003269946,"about_ca_system_score_codex":0.00036035295,"about_ca_system_score_gemma":0.00026545368,"threshold_uncertainty_score":0.006501794},"labels":[],"label_agreement":null},{"id":"W4362682885","doi":"10.1109/icapc57304.2022.00094","title":"Fast Charging Technology for Electric Vehicles","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Automotive industry; New energy; China; Government (linguistics); Green vehicle; Automotive engineering; Miles per gallon gasoline equivalent; Fossil fuel; Electric vehicle; Business; Automotive engine; Engineering; Power (physics); Fuel efficiency; Mechanical engineering; Waste management","score_opus":0.01282094438196417,"score_gpt":0.25566811717679666,"score_spread":0.24284717279483248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362682885","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055369098,0.04758573,0.6309625,0.0051777367,0.0063890247,0.00029265974,0.00026825568,0.0011681882,0.25278687],"genre_scores_gemma":[0.6648695,0.042500537,0.105298206,0.0014601927,0.0010524729,0.00020832595,0.00029102847,0.00022536491,0.18409437],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997522,0.00002604405,0.000009441106,0.00003622658,0.00014954421,0.000026531294],"domain_scores_gemma":[0.9998858,0.000028802964,0.000010839924,0.000014682956,0.000052900425,0.00000689504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015738612,0.00030257332,0.00023650985,0.00046998073,0.00042121136,0.0011615206,0.0005683773,0.0008192417,0.0041025216],"category_scores_gemma":[0.00042053816,0.00019693925,0.00032841795,0.00047004528,0.00041178666,0.0017341337,0.00044996053,0.00072777533,0.0018824035],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100391895,0.000085799176,0.00035603254,0.0010555718,0.000029835097,0.0007165792,0.0004129435,0.00512048,0.2209244,0.4088247,0.018361334,0.34401196],"study_design_scores_gemma":[0.000028377355,0.00049032655,0.00048470165,0.00018873895,0.00003676199,0.0028758678,0.00021062863,0.02187917,0.18836582,0.06556095,0.71978694,0.000091658454],"about_ca_topic_score_codex":0.00030148774,"about_ca_topic_score_gemma":0.00024932998,"teacher_disagreement_score":0.0041025216,"about_ca_system_score_codex":0.0006079267,"about_ca_system_score_gemma":0.00029513604,"threshold_uncertainty_score":0.013724327},"labels":[],"label_agreement":null},{"id":"W4366251029","doi":"10.1109/gridedge54130.2023.10102708","title":"Energy Management of Ultra Fast Charging Stations","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Renewable energy; Intermittent energy source; Energy storage; Automotive engineering; Grid; Energy management; Electric vehicle; Computer science; Variable renewable energy; Charging station; Distributed generation; Electrical engineering; Energy (signal processing); Power (physics); Engineering","score_opus":0.019625099429688934,"score_gpt":0.2731353100580464,"score_spread":0.2535102106283575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366251029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51023024,0.0013219749,0.4298114,0.00048217384,0.00024833405,0.00030522942,0.0009611837,0.0026449019,0.05399462],"genre_scores_gemma":[0.9919212,0.000093572846,0.0049691545,0.000019284174,0.000011779572,0.000018845869,0.000118418764,0.000018880048,0.002828899],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99969196,0.000052076837,0.000019432653,0.000061652216,0.00009994401,0.000074955475],"domain_scores_gemma":[0.9996544,0.0000731678,0.00004427017,0.00006400484,0.00012740005,0.00003683637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036534874,0.00038334733,0.0003712394,0.0005047909,0.00053548237,0.001306539,0.0008481693,0.00043084883,0.0035809388],"category_scores_gemma":[0.00068700087,0.00015726312,0.00019700441,0.0006459733,0.00016249437,0.000734195,0.0006131653,0.00035438873,0.0006458576],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086883496,0.00020827426,0.009087212,0.00022201738,0.00007877365,0.0005472148,0.0001989888,0.541656,0.03530662,0.014751964,0.0075991554,0.3894749],"study_design_scores_gemma":[0.000071141076,0.00051890395,0.008811745,0.000031397285,0.00003892778,0.00028546946,0.0002860584,0.940509,0.02056039,0.008901566,0.01993562,0.00004982264],"about_ca_topic_score_codex":0.0019107378,"about_ca_topic_score_gemma":0.0020284005,"teacher_disagreement_score":0.0035809388,"about_ca_system_score_codex":0.0005965937,"about_ca_system_score_gemma":0.00043470445,"threshold_uncertainty_score":0.011979401},"labels":[],"label_agreement":null},{"id":"W4366365224","doi":"10.1149/1945-7111/acce72","title":"Tracking Electrolyte Motion in Cylindrical Li-ion Cells Using Moment of Inertia Measurements","year":2023,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Electrolyte; Electrode; Moment of inertia; Ion; Moment (physics); Materials science; Inertia; Mechanics; Perpendicular; Chemistry; Physics; Classical mechanics; Geometry","score_opus":0.035562361952524296,"score_gpt":0.28099382334120304,"score_spread":0.24543146138867875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366365224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9444242,0.0004812538,0.051753305,0.00012731882,0.000061595776,0.000069068396,0.00045194887,0.00060475623,0.0020265328],"genre_scores_gemma":[0.974585,0.00028031328,0.024183165,0.000026258274,0.0000124454045,0.000039928393,0.00019330376,0.000026564278,0.0006530566],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981135,0.00001963214,0.000011808342,0.00003795912,0.00009290903,0.000026352656],"domain_scores_gemma":[0.99960536,0.00012062117,0.000091312155,0.00005091082,0.000093342685,0.000038554386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003243483,0.0002217834,0.00031445234,0.0004764427,0.00023924962,0.00042483417,0.0006160863,0.00039213803,0.0010411211],"category_scores_gemma":[0.0010228608,0.00015432129,0.00015579654,0.00061447045,0.00037551858,0.0006469347,0.0004625061,0.00028823907,0.0002728587],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018400849,0.000024486522,0.0033679137,0.000051222116,0.0000063455536,0.000078357465,0.00014516593,0.002275658,0.98037225,0.00052328035,0.00017505178,0.012796368],"study_design_scores_gemma":[0.000046310066,0.00079896604,0.017921112,0.00001714535,0.000023821176,0.0003557249,0.00022409264,0.06722755,0.9090112,0.00051794405,0.003770307,0.00008589059],"about_ca_topic_score_codex":0.0007489014,"about_ca_topic_score_gemma":0.0012455775,"teacher_disagreement_score":0.0010411211,"about_ca_system_score_codex":0.00025559939,"about_ca_system_score_gemma":0.00025875284,"threshold_uncertainty_score":0.0034828782},"labels":[],"label_agreement":null},{"id":"W4366503914","doi":"10.1109/access.2023.3268615","title":"Electric Vehicles Under Low Temperatures: A Review on Battery Performance, Charging Needs, and Power Grid Impacts","year":2023,"lang":"en","type":"review","venue":"IEEE Access","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Battery (electricity); Electrical engineering; Automotive engineering; Grid energy storage; Environmental science; Internal resistance; Electric power system; Energy storage; Computer science; Power (physics); Engineering physics; Telecommunications; Engineering; Renewable energy; Distributed generation; Physics","score_opus":0.05214198011487922,"score_gpt":0.35161024352502396,"score_spread":0.29946826341014476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366503914","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00067301583,0.99704355,0.0002834851,0.00028663207,0.00013050485,0.000010927902,0.00010030747,0.000008348801,0.0014631728],"genre_scores_gemma":[0.0028146682,0.99642926,0.00021140723,0.000115657145,0.000069378904,0.000009553981,0.00007663332,0.0000026890502,0.00027090966],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99933654,0.00013996585,0.00016652358,0.00009476011,0.00022526535,0.000036868405],"domain_scores_gemma":[0.99735487,0.001811889,0.00027036626,0.000041382333,0.00048563653,0.000035780176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010742873,0.0008390401,0.0011866643,0.0033248714,0.00033039862,0.0014599334,0.00073741557,0.0009301906,0.0026972792],"category_scores_gemma":[0.0026228863,0.0003858088,0.0010567649,0.0046612653,0.00034300474,0.0017731306,0.00053146353,0.00065825094,0.00069398625],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010251001,0.00007987715,0.0013372862,0.18141909,0.00035412784,0.00026762165,0.00039103822,0.0017908004,0.0018881136,0.0067800134,0.02297161,0.78261787],"study_design_scores_gemma":[0.000012566129,0.0002751757,0.004071735,0.05815645,0.0013268592,0.00090490753,0.00051398383,0.00044566434,0.0013690266,0.0033079144,0.9295542,0.00006151364],"about_ca_topic_score_codex":0.003158322,"about_ca_topic_score_gemma":0.004673699,"teacher_disagreement_score":0.0033248714,"about_ca_system_score_codex":0.0006994545,"about_ca_system_score_gemma":0.0023324748,"threshold_uncertainty_score":0.009023309},"labels":[],"label_agreement":null},{"id":"W4366684151","doi":"10.1080/15325008.2023.2201285","title":"State of Charge Estimation of Lithium-ion Battery in Electric Vehicles Using the Smooth Variable Structure Filter: Robustness Evaluation against Noise and Parameters Uncertainties","year":2023,"lang":"en","type":"article","venue":"Electric Power Components and Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dawson College; Cegep de Trois-Rivieres; Cégep de l'Outaouais; Cegep de Thetford","funders":"","keywords":"Mean squared error; State of charge; Control theory (sociology); Noise (video); Robustness (evolution); Voltage; Battery (electricity); Standard deviation; Engineering; Electronic engineering; Electrical engineering; Mathematics; Computer science; Statistics; Power (physics); Physics; Chemistry","score_opus":0.028116216000923618,"score_gpt":0.26148737832337265,"score_spread":0.23337116232244903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366684151","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3746827,0.0006465962,0.6218081,0.00015692056,0.00006530421,0.000040188464,0.000068871996,0.00086196756,0.0016693159],"genre_scores_gemma":[0.9840037,0.00015859406,0.015206776,0.000018877576,0.0000099401395,0.000018227962,0.00007859951,0.0000135418795,0.0004916781],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970955,0.00006772854,0.000020956584,0.00006633043,0.000096570795,0.000038878097],"domain_scores_gemma":[0.9993285,0.000360871,0.00007052589,0.000044505538,0.00018275745,0.000012908432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076502614,0.0005287295,0.00047840693,0.00036810944,0.0002655491,0.0005177566,0.00034128595,0.00072555733,0.0003507961],"category_scores_gemma":[0.0023819993,0.00018594808,0.00042306026,0.00030924304,0.00025866923,0.0004300583,0.00028793665,0.0003863467,0.00011314221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000555408,0.00007179125,0.0073045483,0.00020749353,0.00015462209,0.00010160024,0.00015973616,0.84252316,0.01805304,0.0010367788,0.00035102447,0.12948088],"study_design_scores_gemma":[0.000012040176,0.00011787009,0.0023274356,0.0000075063,0.000016354243,0.000017301056,0.00002000781,0.9919584,0.0050796443,0.00021707227,0.00021459772,0.000011809597],"about_ca_topic_score_codex":0.012873949,"about_ca_topic_score_gemma":0.0061273095,"teacher_disagreement_score":0.012873949,"about_ca_system_score_codex":0.00032657117,"about_ca_system_score_gemma":0.00044555828,"threshold_uncertainty_score":0.02559805},"labels":[],"label_agreement":null},{"id":"W4366828833","doi":"10.3390/batteries9050237","title":"Thermal and Mechanical Safety Assessment of Type 21700 Lithium-Ion Batteries with NMC, NCA and LFP Cathodes–Investigation of Cell Abuse by Means of Accelerating Rate Calorimetry (ARC)","year":2023,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":100,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Projektträger Jülich; Bundesministerium für Bildung und Forschung; Center of Excellence for Learning in Education, Science and Technology","keywords":"Thermal runaway; Calorimeter (particle physics); Materials science; Lithium (medication); Nuclear engineering; Cathode; Calorimetry; Thermal; Specific energy; Chemistry; Thermodynamics; Power (physics); Electrical engineering; Physics; Battery (electricity); Engineering; Medicine","score_opus":0.023693666100868722,"score_gpt":0.27040202993379114,"score_spread":0.2467083638329224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366828833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972904,0.00052433275,0.0013047929,0.000024654219,0.000013174497,0.000024646413,0.00010600296,0.000042026604,0.00066989765],"genre_scores_gemma":[0.9971847,0.00033462825,0.0014723216,0.000021470532,0.0000065311597,0.000032477652,0.00015109526,0.00003069891,0.00076601666],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992086,0.00007197303,0.000051949402,0.00011025749,0.00047266943,0.00008457275],"domain_scores_gemma":[0.9992669,0.00013691338,0.00011586182,0.00010377944,0.0003436872,0.000032823034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006922111,0.00045306803,0.00058200373,0.0005455251,0.000343586,0.0005209851,0.00065343245,0.0005634175,0.0010877138],"category_scores_gemma":[0.0013841267,0.00017949169,0.00038634505,0.00047330698,0.00039437838,0.0006528134,0.00047600403,0.0003388573,0.00027810357],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006601728,0.00006414337,0.006723069,0.00026707145,0.00003799079,0.0005047762,0.0002443262,0.0012737858,0.97740597,0.00014899609,0.0001893596,0.012480388],"study_design_scores_gemma":[0.000012709352,0.0010602097,0.011710107,0.000020586274,0.000048860074,0.00064492197,0.00024847526,0.0043151323,0.98008794,0.00007955498,0.0017512707,0.000020244686],"about_ca_topic_score_codex":0.0006577756,"about_ca_topic_score_gemma":0.0011038732,"teacher_disagreement_score":0.0010877138,"about_ca_system_score_codex":0.00058169814,"about_ca_system_score_gemma":0.0002577829,"threshold_uncertainty_score":0.0042205453},"labels":[],"label_agreement":null},{"id":"W4366961276","doi":"10.12700/aph.15.7.2018.7.7","title":"Fuzzy Logic-based Maximum Power Point Tracking for a Solar Electric Vehicle","year":2018,"lang":"en","type":"article","venue":"Acta Polytechnica Hungarica","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"Université du Québec à Chicoutimi","keywords":"Fuzzy logic; Electric vehicle; Tracking (education); Maximum power point tracking; Maximum power principle; Computer science; Point (geometry); Solar power; Power (physics); Mathematics; Photovoltaic system; Engineering; Artificial intelligence; Electrical engineering; Physics","score_opus":0.019395469507010953,"score_gpt":0.27276395045238583,"score_spread":0.2533684809453749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366961276","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04868504,0.00029982478,0.944503,0.00012187505,0.000049650625,0.000075354554,0.000030190657,0.0003046692,0.0059303604],"genre_scores_gemma":[0.9163625,0.00017974607,0.07979746,0.00005641357,0.000015331107,0.000079746096,0.000036953832,0.0000106884145,0.0034610752],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998672,0.000023158947,0.000007869244,0.0000316179,0.00005349325,0.000016667087],"domain_scores_gemma":[0.99983907,0.0000718318,0.000018948716,0.0000068895183,0.000055410415,0.0000077734385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003675342,0.00029376833,0.0003397723,0.00024533604,0.0003651094,0.0006356815,0.00051731634,0.0006349125,0.0015148476],"category_scores_gemma":[0.00068422646,0.00018770003,0.00038685495,0.00023607345,0.0002350661,0.00032475704,0.00017960228,0.0004799805,0.00025654692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017319448,0.0000874692,0.00064722274,0.00012790086,0.00004219951,0.00014745633,0.00009930396,0.8603039,0.0213561,0.0052548177,0.00052479265,0.11123561],"study_design_scores_gemma":[0.000007981304,0.00004929584,0.00011996089,0.000006449781,0.0000077817685,0.00001387806,0.000007454677,0.9969799,0.0019386295,0.0005217569,0.00034301393,0.000003836772],"about_ca_topic_score_codex":0.008701565,"about_ca_topic_score_gemma":0.006749147,"teacher_disagreement_score":0.008701565,"about_ca_system_score_codex":0.0005963325,"about_ca_system_score_gemma":0.0006022373,"threshold_uncertainty_score":0.017301857},"labels":[],"label_agreement":null},{"id":"W4366982208","doi":"10.1155/2023/4554582","title":"State-Flow Control Based Multistage Constant-Current Battery Charger for Electric Two-Wheeler","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"VIT University; Saveetha Institute of Medical and Technical Sciences","keywords":"Total harmonic distortion; Battery (electricity); Constant current; State of charge; MATLAB; Controller (irrigation); Control theory (sociology); Current limiting; Engineering; Electric vehicle; Voltage; Battery charger; Computer science; Power (physics); Automotive engineering; Electrical engineering; Control (management)","score_opus":0.014326065544087803,"score_gpt":0.28284254004175846,"score_spread":0.26851647449767063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366982208","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.111531414,0.0004324346,0.86979425,0.00017646191,0.00018026764,0.00033785452,0.00016374624,0.004164396,0.013219161],"genre_scores_gemma":[0.98042583,0.00009420608,0.016024735,0.00004370394,0.000019304583,0.000088413726,0.000052332318,0.00001843209,0.0032330113],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998123,0.000025222136,0.000014086592,0.0000479576,0.00008004395,0.00002038682],"domain_scores_gemma":[0.99980885,0.000045664176,0.000040200684,0.000020216354,0.000076676115,0.000008460534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026087923,0.00038148003,0.00033546955,0.0003436733,0.00033075886,0.00069809164,0.000731164,0.00034506546,0.0038691408],"category_scores_gemma":[0.0002990504,0.00015137673,0.00028195072,0.0002218731,0.00021630489,0.00042657572,0.00022231968,0.00039341167,0.0003984259],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091846456,0.0009011354,0.0030003334,0.00087866205,0.00012523792,0.0004912765,0.00041215654,0.31583577,0.1822614,0.011795235,0.006736415,0.47664386],"study_design_scores_gemma":[0.00007025359,0.0005973389,0.0013524408,0.000022913915,0.00004580815,0.0001288643,0.000019427935,0.955019,0.037181765,0.00094488723,0.0045864717,0.000030795603],"about_ca_topic_score_codex":0.0026993875,"about_ca_topic_score_gemma":0.0031803541,"teacher_disagreement_score":0.0038691408,"about_ca_system_score_codex":0.00036768508,"about_ca_system_score_gemma":0.00037784735,"threshold_uncertainty_score":0.012943566},"labels":[],"label_agreement":null},{"id":"W4367016794","doi":"10.1109/jestie.2023.3270107","title":"Single-Phase Bridgeless Converter for On-Board EV Charger With Flexible Charging Capabilities","year":2023,"lang":"en","type":"article","venue":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Ćuk converter; Battery charger; Electric vehicle; State of charge; Electrical engineering; Battery (electricity); Computer science; Engineering; Power (physics); Electronic engineering; Topology (electrical circuits); Boost converter; Voltage; Physics","score_opus":0.05009538858706062,"score_gpt":0.3022584909158645,"score_spread":0.25216310232880385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367016794","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.068520546,0.0014474341,0.89801615,0.00022987585,0.00020861781,0.00021178751,0.00010678512,0.0009843856,0.030274289],"genre_scores_gemma":[0.94507897,0.0007914995,0.043031048,0.00009822252,0.000039698087,0.00009322527,0.00014681816,0.00007308424,0.010647438],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977344,0.0000303173,0.000010747887,0.000037736063,0.00012831748,0.000019481111],"domain_scores_gemma":[0.99990594,0.000011993578,0.0000097547545,0.000016116113,0.00005129741,0.0000049658806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020429915,0.0003132671,0.00039877245,0.00029546823,0.00031719383,0.0010650215,0.00092926365,0.0003881133,0.0036116745],"category_scores_gemma":[0.00021719541,0.00015570936,0.00037474508,0.0002726148,0.00018522238,0.00079144706,0.00025298868,0.00051902054,0.0011808808],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003867395,0.00032373532,0.0018572739,0.0015995456,0.00013014876,0.0006667583,0.00038402659,0.063520715,0.4010313,0.035403922,0.0069937073,0.48770204],"study_design_scores_gemma":[0.0000913999,0.0010592059,0.002586655,0.0001581315,0.0001027775,0.0021975322,0.00021772317,0.71189594,0.20593709,0.009344808,0.06634506,0.00006371444],"about_ca_topic_score_codex":0.00047235118,"about_ca_topic_score_gemma":0.00075212476,"teacher_disagreement_score":0.0036116745,"about_ca_system_score_codex":0.0003880683,"about_ca_system_score_gemma":0.00040208045,"threshold_uncertainty_score":0.012082279},"labels":[],"label_agreement":null},{"id":"W4367059811","doi":"10.1155/2023/6656612","title":"A GM-Based Energy Management Strategy of Hybrid Power System for Hydrogen Fuel Cell Buses","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Battery (electricity); Automotive engineering; Hydrogen fuel; Power (physics); Computer science; Energy management; Hybrid power; Process engineering; Fuel cells; Engineering; Energy (signal processing); Chemical engineering","score_opus":0.010950770605527224,"score_gpt":0.2447358962141245,"score_spread":0.23378512560859727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367059811","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3475273,0.00073651684,0.61305773,0.0004908127,0.00014361332,0.00027287556,0.00010764494,0.001056671,0.03660683],"genre_scores_gemma":[0.99563956,0.00004193883,0.0032525975,0.000022859032,0.0000066809043,0.00002512032,0.0000140095135,0.000004620107,0.0009925814],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998698,0.000022735472,0.000007898067,0.000040770487,0.000036622936,0.00002214054],"domain_scores_gemma":[0.9999163,0.000011205168,0.000017836152,0.0000055310657,0.000039818548,0.000009217507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019501163,0.00053205504,0.00031165197,0.00031591573,0.0003970496,0.00063950586,0.0007184925,0.00033034637,0.0012448635],"category_scores_gemma":[0.00026106558,0.00012545708,0.00022977273,0.00022497811,0.0002464602,0.00051395036,0.00045135408,0.00020869855,0.0001645089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054873165,0.00015864539,0.003376011,0.00029630648,0.0000853031,0.0005948274,0.00037828684,0.75890213,0.054536957,0.011628421,0.0030474642,0.1664469],"study_design_scores_gemma":[0.000021437,0.00017063582,0.0009914202,0.000011453921,0.000023662787,0.000056485973,0.00005857546,0.9916984,0.0043854495,0.0015209055,0.0010494983,0.000012029483],"about_ca_topic_score_codex":0.0045750886,"about_ca_topic_score_gemma":0.0039819353,"teacher_disagreement_score":0.0045750886,"about_ca_system_score_codex":0.00050386554,"about_ca_system_score_gemma":0.00034735724,"threshold_uncertainty_score":0.009096861},"labels":[],"label_agreement":null},{"id":"W4367182227","doi":"10.3390/jlpea13020029","title":"Battery Parameter Analysis through Electrochemical Impedance Spectroscopy at Different State of Charge Levels","year":2023,"lang":"en","type":"article","venue":"Journal of Low Power Electronics and Applications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Dielectric spectroscopy; Equivalent circuit; Capacitance; Resistive touchscreen; State of charge; Internal resistance; Noise (video); Inductance; Electrical impedance; Time domain; Impedance parameters; Electronic engineering; Materials science; Electrical engineering; Engineering; Computer science; Voltage; Electrode; Chemistry; Electrochemistry; Physics; Power (physics)","score_opus":0.011817637503293548,"score_gpt":0.28450053795723873,"score_spread":0.27268290045394517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367182227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4968762,0.001537979,0.49372607,0.00021443472,0.000116795905,0.00017947184,0.0010742809,0.0016679947,0.004606788],"genre_scores_gemma":[0.94587904,0.0013499118,0.049933787,0.000099867284,0.000022394053,0.0001794213,0.00065433414,0.00008882914,0.0017924046],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996989,0.000031714128,0.000026896416,0.000054232554,0.00017063231,0.000017647648],"domain_scores_gemma":[0.99977547,0.000060089205,0.000027014521,0.00003489317,0.00009711117,0.0000054177635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003087546,0.00066242245,0.0006062854,0.0009987563,0.0001776987,0.0006491582,0.000664144,0.00065413245,0.00079542934],"category_scores_gemma":[0.0010688489,0.00020329707,0.00038388927,0.00082116324,0.00018513977,0.0014674908,0.00047917844,0.0005204461,0.0004886425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015248918,0.0001100912,0.004612306,0.0006298322,0.0000978811,0.00027489944,0.00029341222,0.011786481,0.8635936,0.0011430978,0.0005106913,0.11679526],"study_design_scores_gemma":[0.000018600695,0.0004642694,0.011395861,0.000051404513,0.000103616614,0.0004985712,0.00032483684,0.114670746,0.8640782,0.0029180455,0.005385866,0.00008985804],"about_ca_topic_score_codex":0.00027727493,"about_ca_topic_score_gemma":0.00073740043,"teacher_disagreement_score":0.0009987563,"about_ca_system_score_codex":0.00016542249,"about_ca_system_score_gemma":0.00017539569,"threshold_uncertainty_score":0.0026609302},"labels":[],"label_agreement":null},{"id":"W4367610359","doi":"10.1016/j.est.2023.107089","title":"Sustainable cathode material selection in lithium-ion batteries using a novel hybrid multi-criteria decision-making","year":2023,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Analytic hierarchy process; TOPSIS; Renewable energy; Multiple-criteria decision analysis; Computer science; Process engineering; Engineering; Operations research; Electrical engineering","score_opus":0.024110383392338047,"score_gpt":0.30822580493836155,"score_spread":0.2841154215460235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367610359","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14682093,0.0008701627,0.84419304,0.0005992807,0.00014383148,0.00029964064,0.00014097718,0.00016749918,0.0067645297],"genre_scores_gemma":[0.9245805,0.00020964199,0.072766945,0.00013384357,0.00005676451,0.0002729388,0.0001075289,0.000023192275,0.001848718],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978321,0.0009557628,0.00015749413,0.00035955862,0.0003937145,0.00030134816],"domain_scores_gemma":[0.9968081,0.0023067954,0.00021671112,0.00006492226,0.0004308685,0.00017252278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040261955,0.0015795279,0.0024316967,0.0015101208,0.0010080842,0.0030823292,0.0024905505,0.0027299009,0.0023914694],"category_scores_gemma":[0.003939398,0.0009897292,0.001739025,0.0010705232,0.0009490529,0.00155245,0.0018658148,0.0012875955,0.00019110394],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002231089,0.0002924466,0.0012022807,0.00017624741,0.00020518363,0.00017507342,0.00011110263,0.9700282,0.0016602956,0.0035770827,0.00038799527,0.02196095],"study_design_scores_gemma":[0.000016442045,0.00007640412,0.00011044369,0.000010303888,0.000024497524,0.000012179635,0.000020383904,0.9985012,0.00026018496,0.0008715478,0.00008693579,0.000009631733],"about_ca_topic_score_codex":0.004870307,"about_ca_topic_score_gemma":0.0040562735,"teacher_disagreement_score":0.004870307,"about_ca_system_score_codex":0.0013319326,"about_ca_system_score_gemma":0.0016900299,"threshold_uncertainty_score":0.021292806},"labels":[],"label_agreement":null},{"id":"W4367679158","doi":"10.1016/j.est.2023.107409","title":"Degradation of lithium-ion batteries that are simultaneously servicing energy arbitrage and frequency regulation markets","year":2023,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Tokyo Metropolitan University; Canada Foundation for Innovation; Nova Scotia Research Innovation Trust; Ryerson University","keywords":"Arbitrage; Degradation (telecommunications); Lithium (medication); Electricity; Reliability engineering; Depth of discharge; Computer science; Service (business); Environmental economics; Energy storage; Automotive engineering; Power (physics); Environmental science; Engineering; Business; Electrical engineering; Telecommunications; Economics; Finance; Economy","score_opus":0.015249113414671682,"score_gpt":0.23425449678638016,"score_spread":0.21900538337170847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367679158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9768372,0.00057220773,0.008620647,0.00082413986,0.0000749994,0.000019167746,0.00023594154,0.00021760716,0.012598179],"genre_scores_gemma":[0.99787784,0.000036121437,0.00020365733,0.00002770335,0.0000058499763,0.0000023290224,0.00004914947,0.000009893763,0.0017875049],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970514,0.00005117317,0.00002031196,0.00004336335,0.00006687543,0.00011318368],"domain_scores_gemma":[0.99868137,0.0005317336,0.00020297016,0.00013289304,0.00033305664,0.00011784455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007458854,0.00038605198,0.0007487365,0.00035114525,0.00049091683,0.0015684061,0.0006990853,0.001070493,0.0060067605],"category_scores_gemma":[0.004254233,0.00019289288,0.0004920761,0.0003578709,0.000777122,0.0012504346,0.0005838461,0.0006493807,0.0006055849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0066394014,0.00085850706,0.03886119,0.00049157423,0.00021274782,0.004516718,0.0008918304,0.6010205,0.15848191,0.10928016,0.0113492785,0.067396164],"study_design_scores_gemma":[0.000081093596,0.00043176126,0.0094188405,0.000025842803,0.000053614007,0.0008412484,0.00039107617,0.9341226,0.027946945,0.024197156,0.0024506708,0.000039153314],"about_ca_topic_score_codex":0.002828991,"about_ca_topic_score_gemma":0.0015665807,"teacher_disagreement_score":0.0060067605,"about_ca_system_score_codex":0.0012367364,"about_ca_system_score_gemma":0.00047486063,"threshold_uncertainty_score":0.020094573},"labels":[],"label_agreement":null},{"id":"W4367682444","doi":"10.1016/j.est.2023.107549","title":"Data-driven battery capacity estimation based on partial discharging capacity curve for lithium-ion batteries","year":2023,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Extrapolation; Voltage; Battery (electricity); Capacity loss; Mean squared error; Battery capacity; Statistics; Mathematics; Computer science; Algorithm; Power (physics); Engineering; Electrical engineering; Physics","score_opus":0.0606354113182882,"score_gpt":0.2940330382711333,"score_spread":0.2333976269528451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367682444","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39096925,0.00154688,0.59618753,0.00034039476,0.00014996713,0.00012005681,0.0013731561,0.0047199926,0.0045927926],"genre_scores_gemma":[0.98660487,0.00014934297,0.012137985,0.000029701687,0.000019101977,0.000033226235,0.00038837717,0.000031331918,0.00060618954],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985635,0.000015939127,0.000012037579,0.00003688027,0.00006160752,0.000017109469],"domain_scores_gemma":[0.99952996,0.00013911919,0.00003843547,0.00004576425,0.0002289199,0.00001780617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019620603,0.0004498979,0.0004523816,0.00060425885,0.0002270438,0.000546695,0.0006738507,0.00040248793,0.000896393],"category_scores_gemma":[0.0011772695,0.00019299702,0.00020847899,0.0005550729,0.0001492199,0.00070914644,0.00035601956,0.0003222601,0.00043273647],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009323172,0.00019981802,0.017315574,0.00054836436,0.00009298739,0.0005170863,0.0001972764,0.4534339,0.08323535,0.0016106202,0.004824907,0.4370918],"study_design_scores_gemma":[0.0000053199815,0.000029918061,0.0019082543,0.000006280186,0.0000065704276,0.000059576218,0.00002009926,0.98732126,0.009779267,0.00038400828,0.00046504705,0.000014414614],"about_ca_topic_score_codex":0.0042379894,"about_ca_topic_score_gemma":0.0036705465,"teacher_disagreement_score":0.0042379894,"about_ca_system_score_codex":0.00032287792,"about_ca_system_score_gemma":0.00032247617,"threshold_uncertainty_score":0.008426607},"labels":[],"label_agreement":null},{"id":"W4367682492","doi":"10.1016/j.est.2023.107460","title":"Design optimization methodologies applied to battery thermal management systems: A review","year":2023,"lang":"en","type":"review","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Battery (electricity); Computer science; Multidisciplinary design optimization; Multidisciplinary approach; Engineering optimization; Lithium-ion battery; Reliability engineering; Systems engineering; Optimization problem; Engineering; Power (physics)","score_opus":0.1510319589718837,"score_gpt":0.3672002157563849,"score_spread":0.2161682567845012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367682492","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003783988,0.99111956,0.0069283564,0.00016545372,0.00016285737,0.00001743753,0.00002871362,0.000023785682,0.0011753066],"genre_scores_gemma":[0.002791851,0.9904158,0.005879283,0.00012069915,0.00020082569,0.000023887003,0.00004940344,0.0000115581415,0.000506749],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99955636,0.00007536804,0.000071813745,0.00009073867,0.00018006396,0.000025642414],"domain_scores_gemma":[0.9987664,0.00075694744,0.00013153926,0.00004218903,0.00027707047,0.000025870584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012774343,0.001622119,0.002219414,0.002395715,0.00028594455,0.0013080792,0.001662758,0.0011510229,0.00306059],"category_scores_gemma":[0.00216739,0.0007756903,0.0011221541,0.004555813,0.00052129285,0.0014487844,0.00082169706,0.0012186796,0.0012087921],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006023727,0.00014364051,0.00026963977,0.02569163,0.00027484648,0.00008557329,0.00004491074,0.008390475,0.002090203,0.006809838,0.0084445765,0.9476944],"study_design_scores_gemma":[0.00011573857,0.0005883943,0.002739613,0.021187328,0.0013775732,0.0014631655,0.00019503254,0.020543445,0.005629599,0.021721214,0.924252,0.00018701084],"about_ca_topic_score_codex":0.0014994543,"about_ca_topic_score_gemma":0.0020913163,"teacher_disagreement_score":0.00306059,"about_ca_system_score_codex":0.00045617713,"about_ca_system_score_gemma":0.001150643,"threshold_uncertainty_score":0.010238647},"labels":[],"label_agreement":null},{"id":"W4368376864","doi":"10.3390/vehicles5020030","title":"Intelligent Deep Learning Estimators of a Lithium-Ion Battery State of Charge Design and MATLAB Implementation—A Case Study","year":2023,"lang":"en","type":"article","venue":"Vehicles","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; John Abbott College","funders":"","keywords":"State of charge; Estimator; Computer science; Adaptive neuro fuzzy inference system; Extended Kalman filter; Robustness (evolution); Artificial neural network; Mean squared error; Control theory (sociology); Machine learning; Kalman filter; Artificial intelligence; Battery (electricity); Fuzzy logic; Fuzzy control system; Mathematics; Statistics","score_opus":0.03779208041597391,"score_gpt":0.3247762620696241,"score_spread":0.2869841816536502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4368376864","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32900402,0.000505257,0.65422326,0.00034197047,0.0000491028,0.00015034086,0.00018530602,0.0027447604,0.012796061],"genre_scores_gemma":[0.95980924,0.00007722939,0.037485585,0.000022841248,0.0000034376048,0.00005739136,0.00005458583,0.000014260004,0.002475426],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985194,0.000038113925,0.000012960575,0.000026182579,0.00005524708,0.000015454603],"domain_scores_gemma":[0.999597,0.00017219398,0.00003400334,0.0000487396,0.00013574098,0.000012428888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041485816,0.00035131734,0.00022978784,0.00025296578,0.00014636303,0.00042580764,0.0005577179,0.00052282796,0.0014618934],"category_scores_gemma":[0.0010316176,0.00014753288,0.00023942922,0.00017305915,0.00018492715,0.00038803078,0.00025510663,0.00036272767,0.00022641818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019187901,0.00011940451,0.0045764856,0.00024303571,0.000041556388,0.00039195167,0.00015394286,0.8262349,0.012093127,0.00566911,0.0009769069,0.14930768],"study_design_scores_gemma":[0.000008788277,0.000069164795,0.0005216102,0.0000059192707,0.000006190524,0.00003115269,0.000011046858,0.9927745,0.0052959956,0.00058421685,0.00068712264,0.0000042416877],"about_ca_topic_score_codex":0.005224659,"about_ca_topic_score_gemma":0.0047329534,"teacher_disagreement_score":0.005224659,"about_ca_system_score_codex":0.00046840153,"about_ca_system_score_gemma":0.00036172554,"threshold_uncertainty_score":0.010388494},"labels":[],"label_agreement":null},{"id":"W4375855138","doi":"10.1016/j.jpowsour.2023.233117","title":"Characterization and analysis of the effect of pressure on the performance of a large format NMC/C lithium-ion battery","year":2023,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"General Motors of Canada; General Motors Corporation","keywords":"Thermal expansion; Materials science; Dielectric spectroscopy; Lithium-ion battery; Analytical Chemistry (journal); Chemistry; Composite material; Electrochemistry; Battery (electricity); Thermodynamics; Electrode","score_opus":0.006316933999046523,"score_gpt":0.23601082596740758,"score_spread":0.22969389196836104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4375855138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971873,0.00023948119,0.0010549792,0.000097962,0.00001535328,0.000013853097,0.00039557624,0.00009711459,0.0008985021],"genre_scores_gemma":[0.9981371,0.00013739248,0.00052929146,0.0000198573,0.000007953133,0.000014794936,0.00026706766,0.000020304777,0.0008660666],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980193,0.00001010734,0.000012353694,0.000030918934,0.00011417027,0.000030439873],"domain_scores_gemma":[0.99971324,0.000082119026,0.000036853013,0.000029967518,0.00011784251,0.000019964233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002454329,0.0002613607,0.00025745845,0.00024557707,0.00032404915,0.00044029977,0.0006569361,0.00042777823,0.0021157397],"category_scores_gemma":[0.0006217871,0.0001291222,0.00015131928,0.00035198763,0.00029598645,0.00049779203,0.00021916145,0.0002955387,0.00035867168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003019676,0.000049652255,0.000942984,0.00006961701,0.000007877014,0.00012838826,0.00005240978,0.00033249336,0.99440575,0.00006519096,0.00020472526,0.0034390113],"study_design_scores_gemma":[0.000008035346,0.00028948084,0.0044266027,0.0000030482568,0.000009839152,0.00008333534,0.000047741454,0.0028011473,0.99156946,0.00001844396,0.0007348485,0.000008128002],"about_ca_topic_score_codex":0.001316929,"about_ca_topic_score_gemma":0.0016017618,"teacher_disagreement_score":0.0021157397,"about_ca_system_score_codex":0.00031022695,"about_ca_system_score_gemma":0.00027783433,"threshold_uncertainty_score":0.007077813},"labels":[],"label_agreement":null},{"id":"W4376111537","doi":"10.1016/j.est.2023.107649","title":"Computational study on hybrid air-PCM cooling inside lithium-ion battery packs with varying number of cells","year":2023,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":138,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Battery pack; Thermal; Materials science; Phase-change material; Battery (electricity); Automotive engineering; Air cooling; Environmental science; Nuclear engineering; Mechanical engineering; Engineering; Thermodynamics","score_opus":0.01716874125260382,"score_gpt":0.27005560682077373,"score_spread":0.2528868655681699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376111537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9590377,0.00040905335,0.014545867,0.00047844395,0.00013289215,0.00005079517,0.0005420686,0.00013455383,0.02466867],"genre_scores_gemma":[0.9941955,0.00007139134,0.0018670912,0.00004853104,0.000017629676,0.000030260924,0.00017488054,0.000025802605,0.0035689054],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988604,0.000023374616,0.0000038866774,0.000021370366,0.00002095233,0.000044278444],"domain_scores_gemma":[0.9994568,0.00033458756,0.00003417998,0.000030965264,0.00008597485,0.000057357087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002117979,0.0004768464,0.0011532353,0.0003519645,0.0010971166,0.0010085861,0.00102962,0.001297269,0.006335744],"category_scores_gemma":[0.0009565673,0.000347914,0.0008195626,0.000490845,0.0008272711,0.00082275755,0.0006618302,0.0007285578,0.00028314488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014305799,0.00006964295,0.001391047,0.000072392075,0.000023691273,0.00018378052,0.000025693002,0.99399686,0.0010779663,0.00091318187,0.00052808615,0.00157471],"study_design_scores_gemma":[0.00003032601,0.00006631078,0.0006648717,0.0000059818394,0.000014450183,0.00001971609,0.00005277055,0.9981712,0.0005220813,0.00022239615,0.00022449854,0.000005333627],"about_ca_topic_score_codex":0.016745104,"about_ca_topic_score_gemma":0.012303196,"teacher_disagreement_score":0.016745104,"about_ca_system_score_codex":0.00051009504,"about_ca_system_score_gemma":0.00089495664,"threshold_uncertainty_score":0.033295274},"labels":[],"label_agreement":null},{"id":"W4376134298","doi":"10.1109/esars-itec57127.2023.10114856","title":"Multiport DC-DC Converter for Integrating Energy Systems in All-Electric Vehicles","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Universitetet i Agder; Norges Forskningsråd","keywords":"Energy storage; Supercapacitor; Renewable energy; Voltage; Automotive industry; Computer science; Electrical engineering; Inductor; Electric vehicle; Cluster (spacecraft); Energy (signal processing); Computer data storage; Electronic engineering; Topology (electrical circuits); Engineering; Power (physics); Computer hardware; Capacitance; Physics","score_opus":0.0334334113104761,"score_gpt":0.2888118885545801,"score_spread":0.255378477244104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376134298","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038564976,0.0028662882,0.9172543,0.00021369837,0.00034724834,0.00017906871,0.00010297732,0.0015427968,0.038928606],"genre_scores_gemma":[0.9271188,0.0011181836,0.05918997,0.00009831156,0.00006297775,0.000092815186,0.000095321004,0.00005449277,0.0121690165],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982697,0.000024977202,0.0000079208485,0.000028671317,0.000099843084,0.0000116547235],"domain_scores_gemma":[0.99992704,0.000012823608,0.0000063412667,0.000013789129,0.00003538379,0.0000046269893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015863305,0.0003427308,0.00024136876,0.00021331791,0.00026728422,0.0006317505,0.0006437246,0.00026696562,0.0039122473],"category_scores_gemma":[0.0001959968,0.00013029955,0.00021984897,0.00027921202,0.0001525545,0.00047872646,0.00028890432,0.0006896931,0.0007118722],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003663766,0.00026962618,0.0018195488,0.0013494891,0.00013657892,0.0006489206,0.00027260158,0.13241632,0.24433355,0.05736795,0.00712442,0.5538946],"study_design_scores_gemma":[0.000052493593,0.0004935064,0.0018330734,0.00011607781,0.000084782245,0.0008660813,0.00012032141,0.7669365,0.12659234,0.012084892,0.09077758,0.000042317828],"about_ca_topic_score_codex":0.0005994527,"about_ca_topic_score_gemma":0.0011027572,"teacher_disagreement_score":0.0039122473,"about_ca_system_score_codex":0.00025516475,"about_ca_system_score_gemma":0.00022670072,"threshold_uncertainty_score":0.0130877495},"labels":[],"label_agreement":null},{"id":"W4376470233","doi":"10.1109/cpere56564.2023.10119604","title":"Design Low-Cost Battery Management System for Low Power Applications of Photovoltaic Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thames Valley Children's Centre","funders":"","keywords":"Photovoltaic system; Battery (electricity); Computer science; State of charge; Power management; Energy management system; Reliability engineering; Reliability (semiconductor); Embedded system; Renewable energy; Energy management; Power (physics); Automotive engineering; Electrical engineering; Engineering; Energy (signal processing)","score_opus":0.022142165793248958,"score_gpt":0.26412922056301585,"score_spread":0.2419870547697669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376470233","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.085342094,0.0022707041,0.869906,0.0006358413,0.0004043114,0.00049869076,0.0004320326,0.004580983,0.035929367],"genre_scores_gemma":[0.90008813,0.0010359598,0.08429044,0.00023121077,0.00010797266,0.00042104418,0.0003856498,0.00013613039,0.013303503],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998161,0.000026821594,0.000016170208,0.00003286329,0.000090335234,0.000017696337],"domain_scores_gemma":[0.9998542,0.000013586457,0.000023240906,0.000013163009,0.00008824968,0.0000075307103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001466715,0.00046959045,0.00039346775,0.0003997051,0.00035887022,0.00059868785,0.0010211928,0.00044870982,0.0038692623],"category_scores_gemma":[0.00029539925,0.00018461919,0.00033918454,0.00030326788,0.00011225498,0.00065980136,0.0003235611,0.000249554,0.0016088332],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035276308,0.00019132374,0.007738576,0.0024464366,0.00022610361,0.0011403393,0.00046164633,0.12745415,0.3037459,0.016380394,0.022509707,0.51735264],"study_design_scores_gemma":[0.0001582292,0.0013037017,0.0067914664,0.00021192236,0.00029561983,0.0020358781,0.00025649896,0.6296236,0.17928824,0.008768316,0.17115955,0.000106958636],"about_ca_topic_score_codex":0.00062497816,"about_ca_topic_score_gemma":0.0007723435,"teacher_disagreement_score":0.0038692623,"about_ca_system_score_codex":0.00035750822,"about_ca_system_score_gemma":0.0003823513,"threshold_uncertainty_score":0.012943983},"labels":[],"label_agreement":null},{"id":"W4376607939","doi":"10.1109/tie.2023.3274874","title":"A Lithium-Ion Battery Degradation Prediction Model With Uncertainty Quantification for Its Predictive Maintenance","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Degradation (telecommunications); Lithium (medication); Reliability engineering; Battery (electricity); Lithium-ion battery; Uncertainty quantification; Computer science; Process engineering; Materials science; Environmental science; Engineering; Electronic engineering; Machine learning; Thermodynamics; Physics; Power (physics)","score_opus":0.05215455897440426,"score_gpt":0.27424286749929894,"score_spread":0.22208830852489467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376607939","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1288443,0.0014713559,0.86261463,0.00068438274,0.00009810554,0.000050879113,0.00078883715,0.0012770963,0.0041703843],"genre_scores_gemma":[0.9821383,0.00033630515,0.01459127,0.00008153167,0.000028687586,0.000071130205,0.0004795736,0.000027094888,0.0022460287],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983907,0.000017078657,0.000011677573,0.00006327573,0.0000429201,0.000025903752],"domain_scores_gemma":[0.99975044,0.00009021575,0.000033669392,0.000016117801,0.00009939493,0.000010128386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039260523,0.0006734732,0.00059503573,0.00038777376,0.00025495293,0.00066828093,0.0010816194,0.00071659393,0.0012650621],"category_scores_gemma":[0.0012326691,0.00029975807,0.0004547039,0.0004649174,0.00026638794,0.00093239924,0.0005169718,0.00096681097,0.00021442765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006895267,0.000026670925,0.0022909162,0.000045502227,0.000022705477,0.00006723139,0.000037254118,0.9564572,0.0015951026,0.0017508762,0.001107784,0.036529686],"study_design_scores_gemma":[0.0000012613148,0.0000049534347,0.00020978886,0.0000022085712,0.0000043264126,0.000007737883,0.0000024713577,0.9989354,0.00021923415,0.0004987277,0.00011162913,0.0000021947576],"about_ca_topic_score_codex":0.014963775,"about_ca_topic_score_gemma":0.010329756,"teacher_disagreement_score":0.014963775,"about_ca_system_score_codex":0.00075102574,"about_ca_system_score_gemma":0.00075884466,"threshold_uncertainty_score":0.029753327},"labels":[],"label_agreement":null},{"id":"W4376627366","doi":"10.1016/j.resconrec.2023.107028","title":"New cathodes now, recycling later: Dynamic scenarios to reduce battery material use and greenhouse gas emissions from U.S. light-duty electric vehicle fleet","year":2023,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Greenhouse gas; Battery (electricity); Environmental science; Electricity; Waste management; Automotive engineering; Environmental engineering; Engineering; Electrical engineering","score_opus":0.024251391738568176,"score_gpt":0.267931987113134,"score_spread":0.24368059537456582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376627366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8569619,0.0010767827,0.010841052,0.015712772,0.00032578924,0.0002845644,0.009522402,0.0004583291,0.1048165],"genre_scores_gemma":[0.9911432,0.0004020842,0.0018014717,0.00046587634,0.000018091863,0.00007969711,0.0010157248,0.000042390966,0.0050314744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945194,0.00018524894,0.000016204789,0.00007113637,0.00009186821,0.00018362336],"domain_scores_gemma":[0.99928766,0.0002923889,0.000046940833,0.00003643414,0.00017902564,0.00015755324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013635532,0.0009901518,0.00051271537,0.000940726,0.0009810859,0.0026403668,0.0016958492,0.0033451493,0.008273746],"category_scores_gemma":[0.0017723764,0.0005309425,0.0011247161,0.0009638297,0.0007138514,0.00431611,0.0015831107,0.0015094954,0.0006320182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028790708,0.0009251515,0.015038253,0.0003936595,0.00025771407,0.0015279659,0.00028446794,0.8466492,0.006344139,0.06222808,0.03545436,0.028017856],"study_design_scores_gemma":[0.00072120124,0.0011468932,0.017302072,0.00019202325,0.0003411312,0.00029088758,0.004035991,0.881679,0.005751717,0.053712305,0.034619816,0.00020693002],"about_ca_topic_score_codex":0.061349653,"about_ca_topic_score_gemma":0.105455056,"teacher_disagreement_score":0.061349653,"about_ca_system_score_codex":0.00455853,"about_ca_system_score_gemma":0.002550238,"threshold_uncertainty_score":0.12198514},"labels":[],"label_agreement":null},{"id":"W4376865232","doi":"10.1016/j.tsep.2023.101908","title":"Optimal battery preheating in critical subzero ambient condition using different preheating arrangement and advance pyro linear thermal insulation","year":2023,"lang":"en","type":"article","venue":"Thermal Science and Engineering Progress","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Battery (electricity); Nuclear engineering; Thermal; Electric heating; Heating system; Heat transfer; Joule heating; Thermal insulation; Automotive engineering; Power (physics); Electrical engineering; Composite material; Mechanics; Mechanical engineering; Thermodynamics; Engineering","score_opus":0.028711089245476547,"score_gpt":0.3225598071600106,"score_spread":0.29384871791453404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376865232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95402616,0.0010777925,0.0410514,0.0000959239,0.0001586766,0.00005768531,0.00008979098,0.0004962091,0.002946318],"genre_scores_gemma":[0.98895395,0.00028053843,0.009823119,0.000021761734,0.000017150893,0.000029043622,0.00005023109,0.000054816843,0.00076936546],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985766,0.000008452754,0.00000810496,0.000057608293,0.000031410436,0.000036730788],"domain_scores_gemma":[0.9998721,0.000023290535,0.000024769037,0.000022575769,0.000040356193,0.000016848975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014893715,0.00044145485,0.00039465405,0.0002722971,0.00041128942,0.00039832338,0.00033491084,0.00024572207,0.0015713896],"category_scores_gemma":[0.0003767948,0.00025581368,0.00022096548,0.00029565196,0.000273953,0.0007988628,0.00027401306,0.0005232685,0.00025280373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006134769,0.00007683258,0.0008293773,0.00028916067,0.000012077858,0.000091238,0.00016346367,0.0025076743,0.9789017,0.0006990205,0.00034168112,0.0154743055],"study_design_scores_gemma":[0.00003732725,0.00038892846,0.0029784536,0.000012251599,0.000036230947,0.000082193954,0.00011036845,0.006072784,0.98825026,0.00027910268,0.0017283655,0.000023661993],"about_ca_topic_score_codex":0.00038127627,"about_ca_topic_score_gemma":0.0008804326,"teacher_disagreement_score":0.0015713896,"about_ca_system_score_codex":0.00027829988,"about_ca_system_score_gemma":0.00037402753,"threshold_uncertainty_score":0.0052568316},"labels":[],"label_agreement":null},{"id":"W4376871049","doi":"10.1038/s41598-023-35150-3","title":"Life cycle environmental impact assessment for battery-powered electric vehicles at the global and regional levels","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Battery (electricity); Life-cycle assessment; Computer science; Environmental impact assessment; Environmental science; Automotive engineering; Biology; Engineering; Ecology; Economics; Production (economics)","score_opus":0.02487310335095939,"score_gpt":0.3097272140075292,"score_spread":0.2848541106565698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376871049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94131196,0.0020098877,0.042537905,0.00017394517,0.000014600409,0.000160092,0.0021160024,0.00014498403,0.0115306685],"genre_scores_gemma":[0.99337876,0.00050059205,0.003967991,0.000018276543,0.0000041439944,0.000051543466,0.0010139183,0.000011249655,0.0010534811],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997465,0.00006581975,0.000013363719,0.000026603959,0.00011727632,0.000030429013],"domain_scores_gemma":[0.99974424,0.000046912948,0.0000364633,0.000013440067,0.00014761837,0.000011289052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066380453,0.00048484973,0.00024207306,0.0022849676,0.00022429253,0.00064456376,0.0002542153,0.00025395752,0.00083127466],"category_scores_gemma":[0.0006575327,0.00009830504,0.0007724366,0.0015199996,0.00014687149,0.00065162766,0.00052841316,0.00013390841,0.00012429041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002704897,0.00014856376,0.21498144,0.000499117,0.00054513995,0.00036223582,0.0002111093,0.59163505,0.023495805,0.0038962706,0.0015426554,0.16241209],"study_design_scores_gemma":[0.000029001176,0.00083276676,0.30712807,0.000085838285,0.0006129396,0.0001962068,0.0012958222,0.64021754,0.027304951,0.008363733,0.013833698,0.000099383564],"about_ca_topic_score_codex":0.011368894,"about_ca_topic_score_gemma":0.018641336,"teacher_disagreement_score":0.011368894,"about_ca_system_score_codex":0.0013527219,"about_ca_system_score_gemma":0.0006828324,"threshold_uncertainty_score":0.022605479},"labels":[],"label_agreement":null},{"id":"W4377029610","doi":"10.1021/acs.energyfuels.3c00690","title":"Optimization of the Cooling Performance of Symmetric Battery Thermal Management Systems at High Discharge Rates","year":2023,"lang":"en","type":"article","venue":"Energy & Fuels","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; Natural Science Foundation of Zhejiang Province; Ningbo University; National Natural Science Foundation of China","keywords":"Battery (electricity); Water cooling; Air cooling; Energy consumption; Inlet; Nuclear engineering; Work (physics); Thermal; Environmental science; Computer cooling; Materials science; Coefficient of performance; Thermodynamics; Heat transfer; Mechanics; Automotive engineering; Mechanical engineering; Heat pump; Electrical engineering; Physics; Thermal management of electronic devices and systems; Engineering; Power (physics)","score_opus":0.01145762283583855,"score_gpt":0.2211167855747821,"score_spread":0.20965916273894356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377029610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97893584,0.0002537568,0.018100731,0.000041246793,0.000014469213,0.00003065079,0.00005436913,0.00008236769,0.0024866096],"genre_scores_gemma":[0.9976609,0.000052048017,0.0019151578,0.0000032232256,0.0000011020782,0.000018074063,0.000021423644,0.000007700459,0.0003205058],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998714,0.00002248585,0.000007860186,0.000026129706,0.000038015307,0.000034127304],"domain_scores_gemma":[0.9998665,0.000042020354,0.000024970328,0.000013522288,0.000040338036,0.000012781223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003178192,0.0003399168,0.00038984872,0.00024353893,0.00027567122,0.00038128643,0.00037083778,0.00025411957,0.0009972783],"category_scores_gemma":[0.0005648728,0.00016282657,0.00026231434,0.00023369024,0.0002404211,0.00043608012,0.0003302012,0.00019859127,0.00019875304],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011870391,0.00023326509,0.0052717966,0.000558702,0.00006226423,0.00021148843,0.00019974439,0.49737155,0.43720904,0.0019929353,0.0007470415,0.054955125],"study_design_scores_gemma":[0.00008295799,0.00096272177,0.0048824744,0.000016864677,0.00004642541,0.000052626605,0.00009728674,0.81199974,0.1800196,0.00036219426,0.0014526079,0.000024512794],"about_ca_topic_score_codex":0.0012619465,"about_ca_topic_score_gemma":0.0014471848,"teacher_disagreement_score":0.0012619465,"about_ca_system_score_codex":0.00036114425,"about_ca_system_score_gemma":0.00044232153,"threshold_uncertainty_score":0.0033361912},"labels":[],"label_agreement":null},{"id":"W4377104603","doi":"10.3390/en16104151","title":"Nuclear-Renewable Hybrid Energy System with Load Following for Fast Charging Stations","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ontario Institute of Technology","keywords":"Renewable energy; Greenhouse gas; Automotive engineering; Energy storage; Electricity; Grid; Wind power; Computer science; Environmental economics; Environmental science; Engineering; Electrical engineering; Power (physics)","score_opus":0.011690010291437264,"score_gpt":0.23272340538818084,"score_spread":0.22103339509674358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377104603","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26171705,0.0010441359,0.6918141,0.0006604846,0.00033349503,0.00036850062,0.0005419305,0.0026450998,0.04087516],"genre_scores_gemma":[0.9934564,0.00008710964,0.003610851,0.000026280175,0.000014409935,0.0000708908,0.00006571431,0.000007831647,0.0026605504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977165,0.000041412328,0.000018251816,0.00006676078,0.000068566005,0.000033450928],"domain_scores_gemma":[0.9998586,0.000037124362,0.000029576173,0.000014445127,0.000045817513,0.000014513784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031748638,0.00060323573,0.0009141942,0.0003233924,0.00090499327,0.0011072372,0.001235122,0.00068984454,0.0041959053],"category_scores_gemma":[0.0002780506,0.00026182237,0.00053340883,0.00045031452,0.0003439534,0.0008152568,0.0008050101,0.00053457107,0.0006834949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029828274,0.00013165502,0.0012636924,0.000180097,0.000075039316,0.0003868239,0.00007503108,0.9465672,0.0077921688,0.0045029814,0.0015770453,0.037150003],"study_design_scores_gemma":[0.000023418474,0.00010489178,0.00026550266,0.000006532999,0.000019514164,0.00003895747,0.00001348875,0.9971384,0.00083805417,0.0007633685,0.0007779441,0.000010034183],"about_ca_topic_score_codex":0.00525093,"about_ca_topic_score_gemma":0.0071012382,"teacher_disagreement_score":0.00525093,"about_ca_system_score_codex":0.0006334878,"about_ca_system_score_gemma":0.0007658336,"threshold_uncertainty_score":0.014036655},"labels":[],"label_agreement":null},{"id":"W4377230032","doi":"10.18280/ts.400207","title":"4th Order Shannon Energy Envelope Approach for Localization of S1 and S2 for Early-Stage Detection of Heart Valve Dysfunction","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Stage (stratigraphy); Envelope (radar); Energy (signal processing); Order (exchange); Cardiology; Mathematics; Internal medicine; Computer science; Medicine; Statistics; Telecommunications; Geology; Economics; Finance","score_opus":0.023442314657326605,"score_gpt":0.2500613691672644,"score_spread":0.2266190545099378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377230032","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0647071,0.0012465949,0.92773604,0.0002542708,0.00010194706,0.00008925429,0.0002892686,0.0006504448,0.004925061],"genre_scores_gemma":[0.47760633,0.0017911234,0.5064762,0.00015596027,0.00013288297,0.00018777928,0.00090071245,0.00017987692,0.012569132],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999821,0.00003437625,0.00001281693,0.000031268843,0.00007302438,0.000027393547],"domain_scores_gemma":[0.9997856,0.000091009795,0.000023572704,0.000017234532,0.000069592155,0.000012964165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051797036,0.0007713454,0.00037764135,0.0017097497,0.0003061018,0.00075137435,0.0004267085,0.00078701624,0.0037197734],"category_scores_gemma":[0.0011894238,0.00019841886,0.00081544055,0.0008282985,0.0002558854,0.0010481077,0.00047958238,0.00045386294,0.0013081378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006285476,0.00024464115,0.007560539,0.00044614033,0.00017294318,0.0011202524,0.00045337848,0.073922,0.13992037,0.009587122,0.0041366275,0.7618073],"study_design_scores_gemma":[0.000026351527,0.00033381366,0.021084996,0.00008362327,0.00010871846,0.0012746444,0.00033655314,0.92246884,0.03701959,0.007924377,0.009259776,0.00007868907],"about_ca_topic_score_codex":0.0010599878,"about_ca_topic_score_gemma":0.0018164589,"teacher_disagreement_score":0.0037197734,"about_ca_system_score_codex":0.00020492246,"about_ca_system_score_gemma":0.0004027416,"threshold_uncertainty_score":0.0124439},"labels":[],"label_agreement":null},{"id":"W4377834252","doi":"10.1615/tfec2023.ens.045841","title":"COMPARISON OF DIFFERENT FLUIDS FOR A HYBRID COOLING STRATEGY OF CYLINDRICAL LITHIUM-ION BATTERIES","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Lithium (medication); Ion; Materials science; Nuclear engineering; Chemistry; Engineering","score_opus":0.05604258875826751,"score_gpt":0.34189018421769296,"score_spread":0.28584759545942545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377834252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9412035,0.004200652,0.046459485,0.00016073989,0.00016524713,0.00011334622,0.00019485081,0.00027146013,0.0072307955],"genre_scores_gemma":[0.9886807,0.0010229858,0.008017491,0.00002201742,0.00001660454,0.00006477435,0.00012304363,0.00004733221,0.0020048842],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999864,0.000026369305,0.000011650165,0.000019543299,0.000050828505,0.000027596237],"domain_scores_gemma":[0.9998281,0.00004506268,0.000017139559,0.0000115161765,0.0000845001,0.000013639823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003661336,0.00034694717,0.00048332682,0.00045400808,0.00035127884,0.00062032917,0.00045856528,0.00026301554,0.0018707943],"category_scores_gemma":[0.00059704506,0.00011526988,0.00028992663,0.00033351558,0.00028214863,0.00096682383,0.00039679377,0.00022163543,0.00035997215],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036062908,0.0002513469,0.0019817327,0.0013693164,0.000056649973,0.00018150533,0.0003147596,0.031275574,0.8483919,0.006271897,0.0012035818,0.10509543],"study_design_scores_gemma":[0.00019934791,0.0034910105,0.0045284764,0.0000828743,0.00013757162,0.00018399273,0.00037879476,0.12451011,0.8466488,0.0011280678,0.018616114,0.00009490682],"about_ca_topic_score_codex":0.0005999194,"about_ca_topic_score_gemma":0.00091960793,"teacher_disagreement_score":0.0018707943,"about_ca_system_score_codex":0.00025807408,"about_ca_system_score_gemma":0.00036521294,"threshold_uncertainty_score":0.0062583685},"labels":[],"label_agreement":null},{"id":"W4377972119","doi":"10.1109/oncon56984.2022.10126866","title":"Wide-ranging parameter extraction of Lithium-ion Batteries to Estimate State of Health using Electrochemical Impedance Spectroscopy","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"State of health; Computer science; Battery (electricity); Electrical impedance; Dielectric spectroscopy; Electronic engineering; Engineering; Electrical engineering; Power (physics); Electrochemistry; Chemistry; Electrode","score_opus":0.01960974217172264,"score_gpt":0.3387135939243822,"score_spread":0.3191038517526596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377972119","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08583649,0.014167041,0.88782555,0.0002817247,0.00012231478,0.00014117724,0.0008634425,0.001974938,0.008787397],"genre_scores_gemma":[0.8653564,0.013812155,0.11434335,0.0001781172,0.00011798612,0.00023101422,0.0012988126,0.000100338475,0.0045618555],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980646,0.000024024977,0.000023305227,0.000050597362,0.00008567632,0.000009877902],"domain_scores_gemma":[0.9998529,0.000042713098,0.000023320492,0.000016232854,0.000060846774,0.000003945126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029783975,0.0006996195,0.00041382216,0.00094495073,0.00012533262,0.0006448479,0.00047610744,0.00043916193,0.0007349265],"category_scores_gemma":[0.0008856606,0.0002051117,0.00038978813,0.00089790084,0.00012875666,0.0008970368,0.00039424794,0.00030941702,0.0006605532],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018383333,0.00009832816,0.008582611,0.0014115478,0.00015410381,0.0004493569,0.000291362,0.049218316,0.2285303,0.003777624,0.0038102597,0.7034923],"study_design_scores_gemma":[0.000030088091,0.00034522312,0.017741356,0.00030587643,0.0002232832,0.0013552554,0.00033089722,0.6853968,0.2466093,0.0095138755,0.037979748,0.00016835488],"about_ca_topic_score_codex":0.0006147935,"about_ca_topic_score_gemma":0.0006415509,"teacher_disagreement_score":0.00094495073,"about_ca_system_score_codex":0.00012432858,"about_ca_system_score_gemma":0.00014870909,"threshold_uncertainty_score":0.0024585724},"labels":[],"label_agreement":null},{"id":"W4377972128","doi":"10.1109/oncon56984.2022.10126760","title":"Real-time Battery Capacity Estimation Based on Opportunistic Measurements","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Battery (electricity); Voltage drop; Voltage; State of charge; Open-circuit voltage; Equivalent circuit; Control theory (sociology); Battery capacity; Engineering; Computer science; Electrical engineering; Power (physics)","score_opus":0.06833240666600732,"score_gpt":0.2740526142130684,"score_spread":0.2057202075470611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377972128","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10931837,0.00085114175,0.88214916,0.00016624742,0.00008811803,0.00008738995,0.00041808232,0.0016541595,0.005267206],"genre_scores_gemma":[0.96952564,0.00025671217,0.028745824,0.000048166297,0.000044796783,0.00005913898,0.00027781675,0.000042842275,0.0009990598],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99954224,0.000070404545,0.00002989526,0.000112826645,0.0001821165,0.00006254145],"domain_scores_gemma":[0.9990946,0.00034914946,0.00014120602,0.00014216118,0.00022316007,0.00004967834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003389061,0.00080344296,0.0007851315,0.00085148285,0.0003371837,0.00089883775,0.0010844257,0.00043364574,0.0007695118],"category_scores_gemma":[0.002599135,0.0003121893,0.0002815086,0.00086067506,0.00030199118,0.0019820612,0.0009352473,0.0005445765,0.00035949957],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005534972,0.00016406753,0.014769715,0.00035727266,0.0001444341,0.0007393753,0.000296895,0.55309814,0.04583828,0.010847395,0.0036892178,0.36950165],"study_design_scores_gemma":[0.000009247624,0.000046791374,0.0017126586,0.000015826245,0.00001380004,0.00019036926,0.00005084011,0.98510575,0.0076769795,0.0038856128,0.0012656662,0.000026486032],"about_ca_topic_score_codex":0.0025496995,"about_ca_topic_score_gemma":0.00333448,"teacher_disagreement_score":0.0025496995,"about_ca_system_score_codex":0.00041618632,"about_ca_system_score_gemma":0.00048146723,"threshold_uncertainty_score":0.0050697327},"labels":[],"label_agreement":null},{"id":"W4377972143","doi":"10.1109/oncon56984.2022.10126541","title":"Performance Analysis of R-int Approximation in Battery Equivalent Circuit Models","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Equivalent circuit; Battery (electricity); Computer science; Power (physics); Control theory (sociology); Sensitivity (control systems); Estimation theory; Algorithm; Applied mathematics; Mathematics; Voltage; Engineering; Electronic engineering; Electrical engineering","score_opus":0.041849152715938955,"score_gpt":0.25551794472229217,"score_spread":0.21366879200635322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377972143","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059389878,0.00078596774,0.93212306,0.00027075832,0.000030238345,0.000031077117,0.000094352064,0.0013450574,0.005929679],"genre_scores_gemma":[0.92667544,0.00050729327,0.06972129,0.00009763626,0.000024298279,0.00005984024,0.00024195624,0.0001564186,0.0025158257],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893755,0.00047911418,0.00004226944,0.000115449664,0.00030752656,0.00011819131],"domain_scores_gemma":[0.99566513,0.0030612724,0.00027056562,0.00047309417,0.00047927245,0.000050591214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022172376,0.0009593945,0.0008091524,0.0004672198,0.00046891262,0.001100968,0.0009129085,0.0010063747,0.0017056902],"category_scores_gemma":[0.008471566,0.00037324976,0.00061078294,0.0003797971,0.0006335694,0.0012089659,0.0009010371,0.0014108584,0.0006472545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013728508,0.00002374211,0.0008404748,0.000072341114,0.000029435032,0.0000668412,0.000072425675,0.97183585,0.0025362913,0.0058301217,0.00038793765,0.01816724],"study_design_scores_gemma":[0.0000013965579,0.000015070057,0.00008098906,0.0000042170627,0.0000034729521,0.0000154163,0.0000056960835,0.9986731,0.000559382,0.0005209409,0.00011712851,0.0000031647805],"about_ca_topic_score_codex":0.011339674,"about_ca_topic_score_gemma":0.0066506164,"teacher_disagreement_score":0.011339674,"about_ca_system_score_codex":0.0010908808,"about_ca_system_score_gemma":0.0009403188,"threshold_uncertainty_score":0.022547305},"labels":[],"label_agreement":null},{"id":"W4377972204","doi":"10.1109/oncon56984.2022.10126563","title":"A Comprehensive Review of Active EV Battery Cell Voltage Balancing Systems: Current Issues and Prospective Solutions","year":2022,"lang":"en","type":"review","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Design for manufacturability; Battery (electricity); Network topology; Computer science; Voltage; Battery pack; Topology (electrical circuits); Power (physics); Reliability engineering; Electrical engineering; Engineering; Computer network","score_opus":0.06440462044920042,"score_gpt":0.3485755551274766,"score_spread":0.2841709346782762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377972204","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002482485,0.997001,0.00042658075,0.00017513668,0.00018999814,0.000010052962,0.000056306857,0.00001365415,0.0018789889],"genre_scores_gemma":[0.0012979391,0.9969195,0.0004652105,0.00013808157,0.00013443294,0.000010312615,0.00009043062,0.000002948008,0.00094111875],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998185,0.000021796435,0.000035186637,0.00003340799,0.00007573138,0.000015529167],"domain_scores_gemma":[0.99967396,0.00014169677,0.00004724638,0.000009564044,0.00010904512,0.000018501632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004416864,0.0008417319,0.0011453469,0.0019315823,0.00025404108,0.0008988981,0.00088118244,0.000834965,0.006184901],"category_scores_gemma":[0.00063070166,0.00035350025,0.0005508796,0.002421354,0.00018581975,0.0016293422,0.0005379256,0.0007186308,0.0025612935],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000670303,0.00007019726,0.00014169124,0.04178333,0.00008973171,0.000116128205,0.000048867023,0.0007858632,0.00269262,0.0040997765,0.026031673,0.9240731],"study_design_scores_gemma":[0.00000974287,0.0001743605,0.0005330485,0.005459986,0.00020428498,0.00054631184,0.00006819329,0.00023310682,0.00086493394,0.0014812996,0.99039906,0.000025549665],"about_ca_topic_score_codex":0.00089720683,"about_ca_topic_score_gemma":0.0016228358,"teacher_disagreement_score":0.006184901,"about_ca_system_score_codex":0.00031047818,"about_ca_system_score_gemma":0.0010330029,"threshold_uncertainty_score":0.02069056},"labels":[],"label_agreement":null},{"id":"W4377972228","doi":"10.1109/oncon56984.2022.10126732","title":"Tabular Open Circuit Voltage Modelling of Li-ion Batteries for Robust SOC Estimation","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"State of charge; Parametric statistics; Voltage; Robustness (evolution); Equivalent circuit; Computer science; Polynomial; System on a chip; Battery (electricity); Polynomial and rational function modeling; Rounding; Parametric equation; Engineering; Mathematics; Electrical engineering; Embedded system; Power (physics)","score_opus":0.08000891175954272,"score_gpt":0.28334329011085485,"score_spread":0.20333437835131213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377972228","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024681155,0.00063091744,0.96428573,0.00010505843,0.00007898059,0.00007600996,0.0006663257,0.001680704,0.0077950084],"genre_scores_gemma":[0.896898,0.0007751651,0.09560241,0.000085557935,0.00003389054,0.00020753981,0.0009661108,0.000171258,0.0052601127],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965465,0.00008716347,0.000031571046,0.0000583899,0.00013096284,0.000037246606],"domain_scores_gemma":[0.9992599,0.0003038088,0.0001046661,0.000100665144,0.00022057582,0.000010337447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047597406,0.0006439087,0.00049388054,0.0006951185,0.00026101482,0.0013969404,0.0012555772,0.0006784678,0.0051111775],"category_scores_gemma":[0.0024810585,0.00021976138,0.0005846223,0.00093147706,0.00031535962,0.0010718544,0.00039634426,0.0005614065,0.0011014459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006388632,0.000015334794,0.00053820305,0.00011520657,0.000012208392,0.000058224654,0.000051187344,0.9582703,0.003426246,0.0061810063,0.00087675423,0.030391352],"study_design_scores_gemma":[0.0000015310047,0.000017364275,0.00008743016,0.0000085844285,0.0000030540493,0.000018582303,0.000007933917,0.99635905,0.0011991523,0.0012317802,0.0010610762,0.0000044268572],"about_ca_topic_score_codex":0.004654814,"about_ca_topic_score_gemma":0.0038671147,"teacher_disagreement_score":0.0051111775,"about_ca_system_score_codex":0.0006862787,"about_ca_system_score_gemma":0.0006557126,"threshold_uncertainty_score":0.017098606},"labels":[],"label_agreement":null},{"id":"W4378086683","doi":"10.3390/inventions8030074","title":"Investigations on Using Intelligent Learning Techniques for Anomaly Detection and Diagnosis in Sensors Signals in Li-Ion Battery—Case Study","year":2023,"lang":"en","type":"article","venue":"Inventions","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; John Abbott College","funders":"","keywords":"Computer science; Mean squared error; State of charge; Estimator; Artificial intelligence; Robustness (evolution); Battery (electricity); Kalman filter; Deep learning; Pattern recognition (psychology); Machine learning; Power (physics); Mathematics","score_opus":0.09535549666454621,"score_gpt":0.3566685328709026,"score_spread":0.2613130362063564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378086683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5363116,0.0015671945,0.4512519,0.0010636954,0.00012690226,0.00017381398,0.00016809766,0.0013875571,0.007949222],"genre_scores_gemma":[0.9638307,0.0003530286,0.034298286,0.00006297135,0.000018608736,0.00003740259,0.000075989745,0.000021377795,0.0013016745],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99950504,0.000108182576,0.00004162664,0.000091491005,0.00019368886,0.000059985134],"domain_scores_gemma":[0.9991435,0.00035366978,0.00007368183,0.00011749074,0.00027742996,0.000034213936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093095005,0.0006275654,0.00043134647,0.00064237224,0.00032526368,0.000722543,0.00092433224,0.0009404585,0.00072646054],"category_scores_gemma":[0.0021503915,0.00015300595,0.0005015511,0.0004761933,0.00047825187,0.001207632,0.00048011963,0.0005701434,0.0002073941],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007721897,0.0004508513,0.038306404,0.000853349,0.00016938378,0.0032386682,0.0008143653,0.43755448,0.06537133,0.009711401,0.0027126747,0.4400449],"study_design_scores_gemma":[0.000018639841,0.0005240733,0.0041903905,0.000043879663,0.0000544982,0.0006891699,0.00029144104,0.9397231,0.048399094,0.0026082436,0.0034284112,0.000029196442],"about_ca_topic_score_codex":0.002860632,"about_ca_topic_score_gemma":0.00247285,"teacher_disagreement_score":0.002860632,"about_ca_system_score_codex":0.0005176557,"about_ca_system_score_gemma":0.0003916303,"threshold_uncertainty_score":0.0056878924},"labels":[],"label_agreement":null},{"id":"W4378187368","doi":"10.14447/jnmes.v26i1.a10","title":"The Principle of Electro-Sorption Technology and Electrode Materials","year":2023,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sorption; Electrode; Materials science; Chemical engineering; Chemistry; Engineering; Physical chemistry; Adsorption","score_opus":0.01299769250300251,"score_gpt":0.2791484470286487,"score_spread":0.2661507545256462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378187368","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02289959,0.23928542,0.49609065,0.015314928,0.005502472,0.00039918927,0.00063668436,0.0006582629,0.2192128],"genre_scores_gemma":[0.4557364,0.20740128,0.18257919,0.008258999,0.0036118422,0.0013296236,0.000489246,0.00022926155,0.14036411],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999116,0.00010818297,0.00005099112,0.00022035275,0.00044338795,0.000061034312],"domain_scores_gemma":[0.9998085,0.000068120105,0.000020022786,0.00002470551,0.000066799155,0.000011882594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054176187,0.0007162634,0.00069919025,0.0008623407,0.00070043374,0.001341809,0.0012990538,0.0021013373,0.0027884992],"category_scores_gemma":[0.00052672124,0.00046003543,0.0006280784,0.0009837811,0.0032106696,0.0029394568,0.001453939,0.0026831487,0.0020818957],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000634716,0.00009826606,0.00041138913,0.0025112138,0.000038586204,0.00065482536,0.0003473467,0.0019843117,0.089032814,0.76031387,0.009243717,0.13530022],"study_design_scores_gemma":[0.00002342031,0.00023499389,0.00097125245,0.00037755954,0.000036602087,0.0026069751,0.00023491748,0.007028647,0.09825131,0.31435838,0.5757621,0.00011377734],"about_ca_topic_score_codex":0.00043446213,"about_ca_topic_score_gemma":0.00033475633,"teacher_disagreement_score":0.0027884992,"about_ca_system_score_codex":0.0007197315,"about_ca_system_score_gemma":0.0008905844,"threshold_uncertainty_score":0.009328485},"labels":[],"label_agreement":null},{"id":"W4378190832","doi":"10.1149/1945-7111/acd8fd","title":"Understanding the Self-Discharge Redox Shuttle Mechanism of Dimethyl Terephthalate in Lithium-Ion Batteries","year":2023,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Faraday efficiency; Lithium (medication); Electrolyte; Materials science; Redox; Polyethylene terephthalate; Dimethyl carbonate; Graphite; Cyclic voltammetry; Self-discharge; Electrochemistry; Chemical engineering; Inorganic chemistry; Electrode; Chemistry; Organic chemistry; Methanol; Composite material","score_opus":0.026237953337097525,"score_gpt":0.2627638632433918,"score_spread":0.23652590990629427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378190832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82466686,0.07653105,0.08989317,0.0015242998,0.00024057477,0.00015503209,0.00033259037,0.00034203578,0.006314379],"genre_scores_gemma":[0.9365624,0.0478632,0.012219153,0.00022053851,0.00011599241,0.00008497022,0.0002787294,0.000032593776,0.002622385],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99993265,0.000007303494,0.0000060227258,0.000013592059,0.000026585934,0.000013849726],"domain_scores_gemma":[0.9999472,0.00002189218,0.000012059886,0.0000040962764,0.000010847569,0.0000038905864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024656832,0.0004883175,0.00051043375,0.00028882115,0.00020317594,0.0005556727,0.00088721304,0.0010747418,0.00094672106],"category_scores_gemma":[0.00023922682,0.00035830427,0.0003740555,0.00023029934,0.00038323004,0.0020823365,0.00025918888,0.00076896424,0.00042017648],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017512284,0.00014694962,0.001687361,0.0018681845,0.000034514793,0.0008051995,0.00026073377,0.010419047,0.94065714,0.015594612,0.00044137766,0.02790978],"study_design_scores_gemma":[0.000052244155,0.00059928646,0.0055913394,0.00015272805,0.00009846525,0.0017411978,0.00045725942,0.17699845,0.78067726,0.018425565,0.0151200555,0.00008622317],"about_ca_topic_score_codex":0.00064799766,"about_ca_topic_score_gemma":0.0005376204,"teacher_disagreement_score":0.0010747418,"about_ca_system_score_codex":0.0004978606,"about_ca_system_score_gemma":0.00022735314,"threshold_uncertainty_score":0.00361228},"labels":[],"label_agreement":null},{"id":"W4378194970","doi":"10.1109/tte.2023.3280063","title":"Modular Voltage Equalizer Circuit With AC-Bus Inter-Modules Connection","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Modular design; Connection (principal bundle); Equalizer; Computer science; Voltage; Electrical engineering; Electronic engineering; Engineering","score_opus":0.02442238699854563,"score_gpt":0.25810900040401674,"score_spread":0.23368661340547112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378194970","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0728723,0.000522912,0.9057498,0.00020292462,0.00027276692,0.0002930733,0.00017206196,0.0044676177,0.015446425],"genre_scores_gemma":[0.9092594,0.00020303868,0.081298515,0.00021287099,0.00010339696,0.00014561423,0.0001461348,0.00007228336,0.008558738],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997267,0.000027887658,0.000020364128,0.00009012382,0.00009466231,0.00004029518],"domain_scores_gemma":[0.99984074,0.000023473991,0.000021363694,0.00003336871,0.000068178255,0.0000128952715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014934415,0.00048425418,0.00041734285,0.00057804293,0.00034480076,0.00068405794,0.001529923,0.0005357481,0.007100952],"category_scores_gemma":[0.0003033899,0.0002425712,0.00034205464,0.00042593456,0.00020159109,0.0011598582,0.00045113557,0.00045797642,0.0009809032],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005265363,0.00025438936,0.0011884421,0.00048292556,0.00019237731,0.00039658413,0.00015835107,0.03512495,0.5772498,0.029339865,0.0073067895,0.3477789],"study_design_scores_gemma":[0.00019196812,0.0010149565,0.001938963,0.00006187167,0.00023920868,0.0011559938,0.000059213948,0.46156275,0.4880572,0.005663125,0.0399588,0.00009597697],"about_ca_topic_score_codex":0.0006365515,"about_ca_topic_score_gemma":0.00096955145,"teacher_disagreement_score":0.007100952,"about_ca_system_score_codex":0.0005333371,"about_ca_system_score_gemma":0.00032262376,"threshold_uncertainty_score":0.023755014},"labels":[],"label_agreement":null},{"id":"W4378377258","doi":"10.3390/pr11061618","title":"Multi-Objective Optimization Design and Experimental Investigation for a Prismatic Lithium-Ion Battery Integrated with a Multi-Stage Tesla Valve-Based Cold Plate","year":2023,"lang":"en","type":"article","venue":"Processes","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Wuhan University of Science and Technology; Wuhan University; National Natural Science Foundation of China","keywords":"Robustness (evolution); Nuclear engineering; Materials science; Battery (electricity); Heat generation; Lithium-ion battery; Energy consumption; Automotive engineering; Power (physics); Mechanical engineering; Electrical engineering; Engineering; Chemistry; Thermodynamics","score_opus":0.05821251292787959,"score_gpt":0.3000528659798275,"score_spread":0.2418403530519479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378377258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64798886,0.0014628981,0.3352222,0.00036074896,0.00010683477,0.00029243444,0.0001603246,0.00041044116,0.013995289],"genre_scores_gemma":[0.95144737,0.0002612432,0.04588625,0.00003666767,0.0000059368435,0.00029680217,0.00006134035,0.000016369157,0.0019879993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971527,0.00007858012,0.000012553468,0.000055664175,0.0000810541,0.000056863915],"domain_scores_gemma":[0.99956375,0.00022562707,0.00005978728,0.000021874896,0.000100031495,0.000028973891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010109922,0.0010567714,0.0007932467,0.00043994273,0.00041001395,0.0007198426,0.00066031434,0.0007955388,0.0014654512],"category_scores_gemma":[0.0007875593,0.00037921206,0.000790729,0.00037001623,0.00034313495,0.0003522473,0.0004972206,0.00065706007,0.00012206455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014742049,0.00020033057,0.00090739643,0.00028157936,0.00004321979,0.00012832985,0.00004712948,0.9705461,0.014231335,0.0010879284,0.00025907054,0.012120087],"study_design_scores_gemma":[0.000017378883,0.00028792213,0.00044143887,0.0000054396824,0.00002272029,0.000009213374,0.000027048822,0.99509215,0.00366791,0.000114249866,0.00030620454,0.000008355745],"about_ca_topic_score_codex":0.004822068,"about_ca_topic_score_gemma":0.0037109517,"teacher_disagreement_score":0.004822068,"about_ca_system_score_codex":0.0005283442,"about_ca_system_score_gemma":0.0010641256,"threshold_uncertainty_score":0.009588003},"labels":[],"label_agreement":null},{"id":"W4378842898","doi":"10.1109/apec43580.2023.10131471","title":"Combined data driven and online impedance measurement-based lithium-ion battery state of health estimation for electric vehicle battery management systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"State of health; Battery (electricity); Electrical impedance; Lithium-ion battery; State of charge; Computer science; Dielectric spectroscopy; Electrical engineering; Electronic engineering; Engineering; Power (physics); Chemistry; Electrochemistry; Electrode","score_opus":0.06892471063015272,"score_gpt":0.3135914425841697,"score_spread":0.244666731954017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378842898","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11378456,0.0013801177,0.8728456,0.0003169966,0.00016370472,0.000172935,0.0005171934,0.0041911947,0.0066277157],"genre_scores_gemma":[0.9605867,0.00038682998,0.03575998,0.000111360714,0.00006102704,0.00011478266,0.00048449903,0.000044703815,0.0024500997],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995135,0.000072634284,0.000043024174,0.00010305245,0.00023801085,0.000029702125],"domain_scores_gemma":[0.999634,0.00006597353,0.000048991893,0.000049693168,0.0001884449,0.000012855232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034451226,0.0006658238,0.0005631684,0.0008536852,0.00019517979,0.00078946643,0.0006301543,0.0004319952,0.0014456194],"category_scores_gemma":[0.0010472124,0.0002070507,0.00030271124,0.0006204661,0.00013886436,0.0011135829,0.000606649,0.00030974878,0.00069179694],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007861842,0.00038215515,0.017265415,0.0007296558,0.00017515429,0.00031002192,0.00024268049,0.06621325,0.10306942,0.0016724475,0.0045483788,0.8046053],"study_design_scores_gemma":[0.000075147545,0.00083093264,0.01898624,0.00008496667,0.00013019759,0.00050966925,0.00020630339,0.87311894,0.09285059,0.002845331,0.0102608,0.00010093555],"about_ca_topic_score_codex":0.001003003,"about_ca_topic_score_gemma":0.0016335587,"teacher_disagreement_score":0.0014456194,"about_ca_system_score_codex":0.00027817892,"about_ca_system_score_gemma":0.00024291649,"threshold_uncertainty_score":0.0048360825},"labels":[],"label_agreement":null},{"id":"W4378842945","doi":"10.1109/apec43580.2023.10131579","title":"Seven-Level Flying-Capacitor Multi-Level Converter for a Differential Power-Processing Interface in Multi-Chemistry EV Battery Packs","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery pack; Battery (electricity); Capacitor; Electrical engineering; Power (physics); Computer science; Topology (electrical circuits); Automotive engineering; Engineering; Physics; Voltage","score_opus":0.09385252608893421,"score_gpt":0.3302957464533321,"score_spread":0.23644322036439788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378842945","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61328536,0.0009100805,0.3577763,0.00028806325,0.00015542087,0.00017131973,0.00035063346,0.0026752031,0.024387553],"genre_scores_gemma":[0.97973514,0.00008024223,0.018127354,0.000043569777,0.0000062733266,0.000019839556,0.00007300253,0.000025394644,0.0018890974],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991894,0.000009857405,0.0000046914233,0.000013101902,0.00004070551,0.000012846467],"domain_scores_gemma":[0.9999583,0.0000057356015,0.000005664494,0.000007070395,0.000018181783,0.0000049045725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000085523294,0.00016439521,0.00019239582,0.000149732,0.00019667055,0.0004211441,0.0006778257,0.00022370818,0.0026001525],"category_scores_gemma":[0.000086323795,0.000096445394,0.00017895423,0.00018639755,0.00012578075,0.00042217452,0.00019739909,0.00031563456,0.0005806764],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032684935,0.0001894403,0.0030459769,0.00048687033,0.00007913595,0.00050326035,0.00021623602,0.03138175,0.7857923,0.009688383,0.004541458,0.16374832],"study_design_scores_gemma":[0.00006554553,0.0009583293,0.005348214,0.000050906066,0.000057294164,0.0010370483,0.000118396405,0.3387329,0.6178133,0.0019012925,0.033868838,0.000047879963],"about_ca_topic_score_codex":0.00085005927,"about_ca_topic_score_gemma":0.0013371578,"teacher_disagreement_score":0.0026001525,"about_ca_system_score_codex":0.00030048625,"about_ca_system_score_gemma":0.00015783955,"threshold_uncertainty_score":0.008698404},"labels":[],"label_agreement":null},{"id":"W4378843096","doi":"10.1109/apec43580.2023.10131389","title":"A New Medium-Voltage Architecture for Ultra-Fast Electric Vehicle (EV) Charging Stations","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Transformer; Voltage; Low voltage; Electrical engineering; Converters; Electric vehicle; Charging station; Computer science; Electronic engineering; Engineering; Power (physics); Physics","score_opus":0.015618248990430732,"score_gpt":0.27321453175068044,"score_spread":0.2575962827602497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378843096","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05598258,0.0007206185,0.9129611,0.00031583617,0.00023751197,0.000117016854,0.000116096366,0.0025085725,0.027040696],"genre_scores_gemma":[0.8209286,0.00067334424,0.1580622,0.00023879936,0.00013989309,0.00010803122,0.00024476793,0.000104180646,0.019500248],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997981,0.000023254812,0.000015387915,0.00004749549,0.0000859255,0.000029814468],"domain_scores_gemma":[0.99986076,0.000008696309,0.000014346434,0.000025049036,0.000072717194,0.000018485793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010763196,0.00030834778,0.00022797221,0.00045394362,0.00046719308,0.0011025654,0.0015442182,0.0005198162,0.004258097],"category_scores_gemma":[0.000173108,0.00017555045,0.00033913492,0.0003949156,0.0002051148,0.0013077684,0.00084620924,0.00062881067,0.0014069182],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005203007,0.0002985141,0.0023515685,0.00053509884,0.00014104141,0.0008844023,0.00046968547,0.046637464,0.27164686,0.11864479,0.013314502,0.5445557],"study_design_scores_gemma":[0.00018157174,0.0017290546,0.004344939,0.00018774482,0.0003271625,0.0027209697,0.00026191626,0.5545564,0.12454914,0.036528293,0.27444363,0.00016910407],"about_ca_topic_score_codex":0.0009770558,"about_ca_topic_score_gemma":0.0015630532,"teacher_disagreement_score":0.004258097,"about_ca_system_score_codex":0.0005047101,"about_ca_system_score_gemma":0.00038357213,"threshold_uncertainty_score":0.014244735},"labels":[],"label_agreement":null},{"id":"W4378843398","doi":"10.1109/apec43580.2023.10131375","title":"Active Power Decoupling Strategy for Single Phase AC Charging Using a Dual Inverter Drive","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Drivetrain; Ripple; Decoupling (probability); Inverter; Topology (electrical circuits); AC power; Harmonics; Computer science; Three-phase; Control theory (sociology); Electrical engineering; Automotive engineering; Engineering; Voltage; Torque; Control engineering; Physics; Control (management)","score_opus":0.08180470818951999,"score_gpt":0.35683641212986966,"score_spread":0.2750317039403497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378843398","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12106442,0.0004411473,0.84772587,0.0001553123,0.00014312268,0.0001834543,0.00010059448,0.0014042655,0.028781917],"genre_scores_gemma":[0.93820864,0.00015888938,0.053589717,0.000054636042,0.00002934285,0.000059815127,0.00009648715,0.000045587298,0.007756906],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998683,0.000008576726,0.00000964309,0.000023211862,0.000069873306,0.000020473379],"domain_scores_gemma":[0.9999194,0.000009685548,0.000011685441,0.00001647693,0.0000326689,0.00001009687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008473546,0.00038682105,0.0003020139,0.00045381644,0.00032071478,0.0006193872,0.0008356073,0.0002615574,0.0047047157],"category_scores_gemma":[0.00015014074,0.00016489114,0.00019297823,0.00037176444,0.0001858219,0.0006345783,0.00045285083,0.0004071401,0.0012219073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042304705,0.0004299058,0.0007596894,0.0004416707,0.000056552777,0.00036614743,0.00020296179,0.016719684,0.4502639,0.013137997,0.0034321772,0.5137663],"study_design_scores_gemma":[0.00021909118,0.0016453423,0.003689575,0.00006723183,0.000118878124,0.0016452826,0.00021596288,0.4159389,0.51277447,0.012066281,0.051532432,0.00008646934],"about_ca_topic_score_codex":0.00036667468,"about_ca_topic_score_gemma":0.0007958884,"teacher_disagreement_score":0.0047047157,"about_ca_system_score_codex":0.00022053802,"about_ca_system_score_gemma":0.00031432227,"threshold_uncertainty_score":0.015738845},"labels":[],"label_agreement":null},{"id":"W4378843400","doi":"10.1109/apec43580.2023.10131400","title":"A Comparative Study of Single- and Multi-Cell Three- Level ANPC Inverters for Electric Aircraft Applications","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Propulsion; Electrically powered spacecraft propulsion; Reliability (semiconductor); Voltage; Inverter; Computer science; Automotive engineering; Topology (electrical circuits); Power (physics); Engineering; Reliability engineering; Aerospace engineering; Electrical engineering; Physics","score_opus":0.1229293229591665,"score_gpt":0.33109508705210877,"score_spread":0.20816576409294227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378843400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9410949,0.0012268027,0.043773483,0.00005580004,0.000033977543,0.00007269484,0.00026538403,0.00016704967,0.013309937],"genre_scores_gemma":[0.9945257,0.00024924683,0.0043876655,0.000004536861,0.0000035640637,0.000009778671,0.000054263375,0.0000108145705,0.0007545494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983,0.000032817516,0.000008032651,0.000023755107,0.00008581859,0.000019628367],"domain_scores_gemma":[0.9997149,0.000106382344,0.000040189974,0.000032314838,0.000091241556,0.000014924605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018414539,0.00026620438,0.0003082925,0.0003988312,0.00017496591,0.00049305736,0.00050235464,0.000272821,0.001816477],"category_scores_gemma":[0.0005532933,0.00007893748,0.0002791034,0.00048297428,0.00011863582,0.0004032487,0.00011596047,0.00016220364,0.0002336978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018945363,0.00043875625,0.009214599,0.0016601093,0.00021591634,0.00068236224,0.00025448197,0.3923939,0.2547673,0.0067499513,0.0017343246,0.32999378],"study_design_scores_gemma":[0.00012840884,0.007098285,0.017018853,0.00009322736,0.00037734784,0.00096794654,0.00032942742,0.7814208,0.1750534,0.0025164837,0.014943378,0.000052484116],"about_ca_topic_score_codex":0.0010270948,"about_ca_topic_score_gemma":0.0020887742,"teacher_disagreement_score":0.001816477,"about_ca_system_score_codex":0.00046605576,"about_ca_system_score_gemma":0.00017900937,"threshold_uncertainty_score":0.006076753},"labels":[],"label_agreement":null},{"id":"W4378843470","doi":"10.1109/apec43580.2023.10131619","title":"Cell Equalizers Modeling and Analysis Based on Energy Conservation Method","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Equalization (audio); Equalizer; Voltage; Energy (signal processing); Series (stratigraphy); Computer science; Process (computing); Energy storage; Electronic engineering; Control theory (sociology); Electrical engineering; Engineering; Telecommunications; Mathematics; Physics; Power (physics); Decoding methods","score_opus":0.043456187824100365,"score_gpt":0.3203437844672124,"score_spread":0.276887596643112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378843470","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018188452,0.00081204576,0.9675143,0.00009084448,0.000048179914,0.000081551756,0.00011149982,0.00038576548,0.012767315],"genre_scores_gemma":[0.9335307,0.0015262513,0.052137036,0.000075154705,0.000043475266,0.0002468483,0.0002024845,0.000090049434,0.012147993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999826,0.00002849321,0.000010150987,0.00003570766,0.00008125147,0.000018403074],"domain_scores_gemma":[0.9998398,0.00005907876,0.00001994592,0.0000154997,0.00006208891,0.000003590452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019736879,0.00054076157,0.000537728,0.00051307154,0.00034077713,0.0007780189,0.0008283984,0.00057413214,0.0029193345],"category_scores_gemma":[0.00047313486,0.000215096,0.0007362668,0.00043247952,0.00035940754,0.0009171706,0.00034345992,0.00051950215,0.00050844724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033810367,0.00002006251,0.00064056285,0.00011372324,0.00002935328,0.000114637915,0.0000833727,0.95257056,0.011765922,0.010771927,0.00064741645,0.023208547],"study_design_scores_gemma":[0.000001696681,0.000011263161,0.000100478544,0.000004439422,0.000007194494,0.000025078512,0.000009108781,0.99659085,0.0017291348,0.0007408039,0.00077662646,0.0000034061445],"about_ca_topic_score_codex":0.006863131,"about_ca_topic_score_gemma":0.0038696758,"teacher_disagreement_score":0.006863131,"about_ca_system_score_codex":0.0007249197,"about_ca_system_score_gemma":0.0004898592,"threshold_uncertainty_score":0.013646364},"labels":[],"label_agreement":null},{"id":"W4379055392","doi":"10.1021/acsenergylett.3c00724","title":"Safety and Quality Issues of Counterfeit Lithium-Ion Cells","year":2023,"lang":"en","type":"review","venue":"ACS Energy Letters","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Overcharge; Counterfeit; Thermal runaway; Electronics; Quality (philosophy); Lithium (medication); Materials science; Battery (electricity); Electrical engineering; Engineering; Medicine","score_opus":0.05246436858908202,"score_gpt":0.33691825119938534,"score_spread":0.28445388261030335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379055392","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006191472,0.9966184,0.00022014281,0.00029177565,0.00023591108,0.000006704567,0.000011771876,0.0000068356558,0.0019894354],"genre_scores_gemma":[0.006381293,0.99105877,0.0002790105,0.00031273538,0.00016779079,0.000012361943,0.000033500342,0.0000026194093,0.0017519328],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994443,0.00007072738,0.00006419408,0.00006572416,0.0003062934,0.00004875507],"domain_scores_gemma":[0.9992036,0.00031127487,0.00011692482,0.000028773271,0.00031043202,0.000028932203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001066483,0.000535827,0.00093203015,0.0017970292,0.00031675625,0.0011216337,0.0009316396,0.0012579034,0.0020015247],"category_scores_gemma":[0.0013762802,0.00026305616,0.00038788747,0.0018032884,0.00062062306,0.0012901059,0.00056200585,0.0010225236,0.0011778926],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008691029,0.00006722456,0.00047193558,0.02440269,0.00006490448,0.00047166093,0.00017285791,0.0005919542,0.010576186,0.012420752,0.024754839,0.9259181],"study_design_scores_gemma":[0.000009957698,0.0001322179,0.0008587193,0.0030032047,0.000067602006,0.0015850427,0.00013448665,0.00016586971,0.006981994,0.0028832797,0.98415446,0.00002331382],"about_ca_topic_score_codex":0.0010617205,"about_ca_topic_score_gemma":0.0012266552,"teacher_disagreement_score":0.0020015247,"about_ca_system_score_codex":0.0005748089,"about_ca_system_score_gemma":0.0008875558,"threshold_uncertainty_score":0.0066957474},"labels":[],"label_agreement":null},{"id":"W4379142708","doi":"10.1504/ijpelec.2023.131192","title":"Review of on-board conductive charger topologies for electric transportation","year":2023,"lang":"en","type":"article","venue":"International Journal of Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Network topology; Automotive industry; Electrical engineering; Battery charger; Battery (electricity); Engineering; Converters; Electric vehicle; Automotive battery; Automotive engineering; Power (physics); Topology (electrical circuits); Computer science; Voltage; Computer network","score_opus":0.020243772445657133,"score_gpt":0.33496989985426273,"score_spread":0.3147261274086056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379142708","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005067623,0.88700026,0.039621554,0.00058973255,0.0017195791,0.00008518408,0.00032315016,0.00029095515,0.06530195],"genre_scores_gemma":[0.042579036,0.8997504,0.019744666,0.0006307895,0.000891065,0.000090381116,0.0009068262,0.00017262498,0.035234153],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99971575,0.0000341595,0.000030331772,0.00005716102,0.0001382956,0.000024290168],"domain_scores_gemma":[0.9997055,0.00011040347,0.000025971452,0.00002244673,0.00012364081,0.000012021401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032525935,0.0008225643,0.0006821895,0.0013001877,0.0002982634,0.0010837781,0.0011176303,0.0008377511,0.011766537],"category_scores_gemma":[0.00061786926,0.00042832867,0.0006363731,0.0018180063,0.00019015078,0.0019265108,0.0004541416,0.00064628484,0.004534786],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009825343,0.00006278554,0.00018109338,0.010305645,0.000059924438,0.00025686773,0.00007211784,0.0043162126,0.010033714,0.015809955,0.030331833,0.92847157],"study_design_scores_gemma":[0.0000068915047,0.00016579375,0.00030753037,0.0012647698,0.00008014938,0.0010344497,0.00005782156,0.0020409226,0.0049442244,0.0030562514,0.98701626,0.000024855206],"about_ca_topic_score_codex":0.00054450094,"about_ca_topic_score_gemma":0.0006905211,"teacher_disagreement_score":0.011766537,"about_ca_system_score_codex":0.00033458215,"about_ca_system_score_gemma":0.00037679588,"threshold_uncertainty_score":0.039362967},"labels":[],"label_agreement":null},{"id":"W4379203694","doi":"10.1016/j.est.2023.107883","title":"A fuzzy robust two-stage unscented Kalman filter method for uncertainty and state of charge estimation of lithium-ion batteries","year":2023,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"State of charge; Control theory (sociology); Kalman filter; Estimator; Battery (electricity); Covariance; Covariance matrix; Extended Kalman filter; Fuzzy logic; Noise (video); Computer science; Algorithm; Mathematics; Statistics; Artificial intelligence; Power (physics)","score_opus":0.026672724636383253,"score_gpt":0.3025440838986331,"score_spread":0.2758713592622498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379203694","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009050502,0.00022459331,0.989945,0.0000403139,0.0000320641,0.000015080746,0.000022002181,0.00015315844,0.0005173517],"genre_scores_gemma":[0.8010647,0.0005703727,0.19319844,0.00009708275,0.00008696005,0.00017149081,0.00022923181,0.00006458261,0.0045170547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995334,0.00008480792,0.00004586035,0.00012441621,0.000168453,0.000042969055],"domain_scores_gemma":[0.99941766,0.00023481328,0.000071665185,0.000033398483,0.00022608515,0.00001623658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090744765,0.0006020356,0.0011335437,0.00040532832,0.0005983268,0.00093220116,0.0011183966,0.0009702764,0.0013530988],"category_scores_gemma":[0.0020230436,0.00051760563,0.0008573564,0.00042345727,0.0004220001,0.0011061908,0.00070900656,0.0008274237,0.00029686594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034135135,0.00007770765,0.0009288073,0.00030164482,0.00015581964,0.00008214227,0.00021934103,0.7549275,0.019925749,0.007346696,0.0010664245,0.21462688],"study_design_scores_gemma":[0.000008094747,0.00003175484,0.00021692342,0.000005760325,0.000013621048,0.000010236955,0.0000055585747,0.99743927,0.0014110409,0.0004942838,0.00035102287,0.000012377222],"about_ca_topic_score_codex":0.013736408,"about_ca_topic_score_gemma":0.009259667,"teacher_disagreement_score":0.013736408,"about_ca_system_score_codex":0.0006489172,"about_ca_system_score_gemma":0.0012522581,"threshold_uncertainty_score":0.027312875},"labels":[],"label_agreement":null},{"id":"W4379374934","doi":"10.20944/preprints202306.0241.v1","title":"Overview of the Potential of Energy Harvesting Sources in Electric Vehicles","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Energy (signal processing); Electricity; Electric potential energy; Efficient energy use; Energy consumption; Energy recovery; Environmental economics; Engineering; Computer science; Automotive engineering; Electrical engineering","score_opus":0.12608447219286067,"score_gpt":0.33790101668965544,"score_spread":0.21181654449679477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379374934","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0068896874,0.8478026,0.013793758,0.0016766234,0.00092180073,0.00008433559,0.00019304185,0.00012592706,0.12851228],"genre_scores_gemma":[0.031306323,0.93495834,0.008127354,0.0006074089,0.0007400266,0.000064460546,0.00023865499,0.000027522763,0.023929892],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998248,0.000024070852,0.000016448963,0.000034333494,0.00008162074,0.000018652454],"domain_scores_gemma":[0.99984574,0.00007311358,0.000012739717,0.0000071584336,0.00005279388,0.000008361192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030433375,0.00049145124,0.00034070612,0.0015858534,0.00037395602,0.0013494644,0.00049266487,0.0008948415,0.0055832206],"category_scores_gemma":[0.00022944763,0.000353289,0.00053695665,0.0016329834,0.0002718574,0.001593768,0.0004995017,0.00083155517,0.00238433],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001670246,0.00020147166,0.0011145136,0.013352867,0.00006961918,0.0007498392,0.00028879833,0.0069592292,0.029006105,0.10632151,0.027533054,0.8142359],"study_design_scores_gemma":[0.0000036149818,0.00021196935,0.0009500677,0.001641792,0.00004085374,0.00082906533,0.00014510065,0.0014915721,0.0050082314,0.011834004,0.97781414,0.00002943303],"about_ca_topic_score_codex":0.00087701896,"about_ca_topic_score_gemma":0.00087453227,"teacher_disagreement_score":0.0055832206,"about_ca_system_score_codex":0.0006258997,"about_ca_system_score_gemma":0.0004639425,"threshold_uncertainty_score":0.018677771},"labels":[],"label_agreement":null},{"id":"W4379878081","doi":"10.2514/6.2023-3988","title":"Experimental Validation of a Module-Level Battery Safety System for Thermal Runaway Containment","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Thermal runaway; Battery (electricity); Automotive engineering; Thermocouple; Nuclear engineering; Engineering; Electrical engineering","score_opus":0.04019768016302522,"score_gpt":0.28670319963976376,"score_spread":0.24650551947673854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379878081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9621065,0.000099943485,0.032342542,0.000084848194,0.00010870479,0.0006911645,0.0009143048,0.0010646029,0.0025872823],"genre_scores_gemma":[0.9812805,0.00009315487,0.012609601,0.00010657936,0.000012465113,0.00042361201,0.00062103756,0.00016317569,0.0046897875],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995432,0.000045962817,0.00002882832,0.00009151997,0.00020432528,0.00008615802],"domain_scores_gemma":[0.9992907,0.00008056179,0.00005414355,0.00014897197,0.0003481569,0.00007737236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067568093,0.00044874486,0.00040602777,0.00035229584,0.00047005469,0.00047969303,0.0011855447,0.00069062016,0.0049221744],"category_scores_gemma":[0.0011955963,0.00020870472,0.00038078282,0.00027270577,0.00036083386,0.00063644955,0.00064760563,0.00046174251,0.0015187878],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062832097,0.0004540489,0.003413025,0.0002994653,0.000034557062,0.00036858735,0.00034751237,0.0037593292,0.96804994,0.00042863237,0.0012001497,0.021016372],"study_design_scores_gemma":[0.00007984296,0.004775311,0.0073384284,0.000031446525,0.000045406246,0.00022629822,0.00018861116,0.0074122497,0.9717571,0.00013738922,0.007978786,0.000029057695],"about_ca_topic_score_codex":0.0008154883,"about_ca_topic_score_gemma":0.0011332866,"teacher_disagreement_score":0.0049221744,"about_ca_system_score_codex":0.00044164978,"about_ca_system_score_gemma":0.0004930073,"threshold_uncertainty_score":0.01646632},"labels":[],"label_agreement":null},{"id":"W4380520243","doi":"10.1109/tec.2023.3285405","title":"Lithium-Ion Battery State of Charge Estimation With Adaptability to Changing Conditions","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Ontario Centre of Innovation","keywords":"Estimator; Adaptability; State of charge; Robustness (evolution); Generalization; Computer science; Artificial intelligence; Machine learning; Battery (electricity); Mathematics; Power (physics); Statistics","score_opus":0.0145714149496821,"score_gpt":0.24268324614188103,"score_spread":0.22811183119219894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380520243","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19641848,0.00057543773,0.79671556,0.00032043623,0.00007017109,0.000054179924,0.00021942284,0.0015101486,0.0041162525],"genre_scores_gemma":[0.9733555,0.00022164146,0.024909165,0.00006864142,0.00002548693,0.00003640876,0.00029101563,0.000033953533,0.0010581982],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998617,0.000023012499,0.000008353419,0.000044907007,0.00004501102,0.000016905036],"domain_scores_gemma":[0.99977,0.00006581835,0.000035628414,0.000043806613,0.00007499021,0.000009850063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037390128,0.00052145484,0.00036139277,0.00030792973,0.00015491027,0.00042961066,0.0006025695,0.00041368802,0.0004699521],"category_scores_gemma":[0.0015473976,0.00016108542,0.0003366709,0.00030600347,0.0002931824,0.00077843084,0.00063081854,0.00057518133,0.00022218977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020773715,0.0000802904,0.008021563,0.00011046029,0.000057061672,0.00015713653,0.00010851528,0.77337986,0.020117495,0.0026152348,0.0024081473,0.19273645],"study_design_scores_gemma":[0.0000033302272,0.000016324619,0.0010214509,0.0000034254147,0.0000044951357,0.000031346364,0.000008441572,0.9928149,0.00464017,0.0010709972,0.00037931217,0.0000058510773],"about_ca_topic_score_codex":0.0024821917,"about_ca_topic_score_gemma":0.0022019194,"teacher_disagreement_score":0.0024821917,"about_ca_system_score_codex":0.00033128494,"about_ca_system_score_gemma":0.00033447592,"threshold_uncertainty_score":0.0049354434},"labels":[],"label_agreement":null},{"id":"W4380741092","doi":"10.1117/12.2664057","title":"Sliding innovation filter to estimate power converters of electric vehicles","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Converters; Control theory (sociology); Voltage; Filter (signal processing); Observer (physics); Inductor; Computer science; Power (physics); Engineering; Electronic engineering; Electrical engineering; Control (management); Physics","score_opus":0.023608191027184325,"score_gpt":0.30608818549790345,"score_spread":0.28247999447071914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380741092","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024765648,0.0005984232,0.9953957,0.000052511616,0.00008091783,0.000012555126,0.000020661799,0.000118626805,0.0012440765],"genre_scores_gemma":[0.62163025,0.004540455,0.35040456,0.00025334503,0.0004801703,0.000296121,0.0005323749,0.00010058194,0.021762155],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972576,0.000054017466,0.000019402849,0.00007255263,0.000107334905,0.000020872652],"domain_scores_gemma":[0.99968946,0.0001387542,0.000028939618,0.000020973259,0.00011463265,0.000007183382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005015394,0.00048791684,0.0005997056,0.00045831155,0.00018636911,0.00057294074,0.0003920175,0.00067215745,0.002039866],"category_scores_gemma":[0.0016744073,0.00017534888,0.0005244076,0.000630836,0.0002954012,0.000619761,0.00037514753,0.00096921995,0.00048945175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111907255,0.000058145044,0.0012833572,0.00038574295,0.00011836492,0.00012187975,0.00015145184,0.45104593,0.015408249,0.06278219,0.0039251857,0.4646076],"study_design_scores_gemma":[0.0000052440378,0.00004193748,0.0003499818,0.000017733279,0.000011715506,0.0000258062,0.000008914735,0.98911613,0.0016162373,0.0046581673,0.004138031,0.000010079105],"about_ca_topic_score_codex":0.005818106,"about_ca_topic_score_gemma":0.0030321432,"teacher_disagreement_score":0.005818106,"about_ca_system_score_codex":0.0004494502,"about_ca_system_score_gemma":0.0005837615,"threshold_uncertainty_score":0.011568487},"labels":[],"label_agreement":null},{"id":"W4380785423","doi":"10.1063/5.0154917","title":"A review paper on different thermal management techniques used for Li-ion battery","year":2023,"lang":"en","type":"review","venue":"AIP conference proceedings","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Battery (electricity); Computer science; Ion; Thermal management of electronic devices and systems; Materials science; Engineering; Chemistry; Mechanical engineering; Physics; Thermodynamics","score_opus":0.0852149135665242,"score_gpt":0.35098446181468224,"score_spread":0.265769548248158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380785423","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00032022467,0.9970197,0.00035372956,0.0002277528,0.0005078109,0.000013259874,0.000063537445,0.0000141951,0.0014796368],"genre_scores_gemma":[0.001342252,0.99573034,0.00051543996,0.0003349327,0.0002734285,0.000015313182,0.00008596928,0.000004702444,0.0016976729],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99985707,0.000014153261,0.000025970337,0.000033065047,0.00005707671,0.000012658995],"domain_scores_gemma":[0.9996526,0.00015718133,0.000046817928,0.0000112517,0.000116250594,0.000015745054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035755578,0.0007457287,0.0010236377,0.002056703,0.0002417928,0.0007468246,0.0007845736,0.00079863484,0.0041229934],"category_scores_gemma":[0.0006831878,0.00025517496,0.00060757133,0.0022723977,0.00025429335,0.0012072892,0.00040040736,0.0009107605,0.0016213722],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010172626,0.00009893084,0.0001689863,0.04186843,0.0001765676,0.00021337172,0.000047311078,0.00030167613,0.008665281,0.0021807505,0.0519848,0.89419216],"study_design_scores_gemma":[0.000023109298,0.00018436757,0.00076846796,0.00404708,0.0003487948,0.0009894491,0.00004934043,0.00011810918,0.0045567276,0.00089543406,0.9879844,0.000034652774],"about_ca_topic_score_codex":0.00082558434,"about_ca_topic_score_gemma":0.0018150606,"teacher_disagreement_score":0.0041229934,"about_ca_system_score_codex":0.00030039804,"about_ca_system_score_gemma":0.0009380065,"threshold_uncertainty_score":0.013792813},"labels":[],"label_agreement":null},{"id":"W4380853996","doi":"10.1155/2023/7500151","title":"A Comprehensive Examination of the Protocols, Technologies, and Safety Requirements for Electric Vehicle Charging Infrastructure","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Foundation for Research, Science and Technology","keywords":"Battery (electricity); Automotive engineering; Electric vehicle; Electrical engineering; Battery pack; Power (physics); Grid; Computer science; Electric-vehicle battery; Engineering","score_opus":0.019221882441623737,"score_gpt":0.2908511403835239,"score_spread":0.2716292579419001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380853996","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044662192,0.29484183,0.2976329,0.009182844,0.0043695113,0.0017436007,0.0018422786,0.0012827242,0.3444421],"genre_scores_gemma":[0.19660142,0.5977326,0.14108308,0.0028080894,0.0016849444,0.00127539,0.0029004028,0.00039183153,0.055522338],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99728954,0.0003136478,0.00028297803,0.00016683702,0.0017503657,0.00019667695],"domain_scores_gemma":[0.9943281,0.0027013056,0.000594894,0.00043822755,0.0018435997,0.00009392746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026146863,0.00084095343,0.0005312377,0.00316439,0.00096374564,0.0027347316,0.001624128,0.001444176,0.0065049874],"category_scores_gemma":[0.007355569,0.00076851813,0.00070275855,0.003156886,0.0006506103,0.0057912455,0.0011478497,0.0020853907,0.003241873],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098822275,0.00020471805,0.001991062,0.008823521,0.00006114075,0.0007007034,0.0003529363,0.017764244,0.015854202,0.2287739,0.029633973,0.6957408],"study_design_scores_gemma":[0.0000082143715,0.0003440391,0.0017062514,0.0040138955,0.00011463448,0.0026096348,0.0007389196,0.011865071,0.015829844,0.03149487,0.9311759,0.00009867269],"about_ca_topic_score_codex":0.0018749054,"about_ca_topic_score_gemma":0.0022224488,"teacher_disagreement_score":0.0065049874,"about_ca_system_score_codex":0.0020752104,"about_ca_system_score_gemma":0.002931259,"threshold_uncertainty_score":0.021761358},"labels":[],"label_agreement":null},{"id":"W4381111115","doi":"10.1016/j.est.2023.107967","title":"Predicting temperature distribution of passively balanced battery module under realistic driving conditions through coupled equivalent circuit method and lumped heat dissipation method","year":2023,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Ministry of Education, India","keywords":"Multiphysics; MATLAB; Battery (electricity); Equivalent circuit; Voltage; Resistor; Heat generation; Thermal; Computer science; Control theory (sociology); Electronic engineering; Engineering; Electrical engineering; Finite element method; Physics; Thermodynamics; Structural engineering","score_opus":0.025807796470129877,"score_gpt":0.317837780334107,"score_spread":0.2920299838639771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381111115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82596064,0.00020346344,0.16311641,0.00010521233,0.00004267596,0.000042888205,0.00042095713,0.00078836665,0.00931943],"genre_scores_gemma":[0.9971324,0.000028340157,0.0016993948,0.00000614608,0.0000023150722,0.000010132439,0.00004869084,0.000016683452,0.0010558852],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999629,0.000006812806,0.0000014939395,0.000009926517,0.000012961617,0.0000058304536],"domain_scores_gemma":[0.99992514,0.00003005287,0.000008336383,0.000009354569,0.000023837276,0.0000032930955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000069976326,0.00029811956,0.0002925765,0.00013799738,0.00017901158,0.00023472973,0.00044789934,0.000371608,0.0010151346],"category_scores_gemma":[0.0002676481,0.00017923089,0.00030463623,0.00017956049,0.00018318625,0.0005757987,0.00015352623,0.000174201,0.00020835537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007277543,0.0000289253,0.0016250153,0.000063100866,0.000020810501,0.000119038355,0.00004953793,0.95904136,0.027603915,0.0008392693,0.00042231628,0.010114011],"study_design_scores_gemma":[0.0000021779636,0.0000128223755,0.00043209494,0.0000010860628,0.0000038307944,0.000007710565,0.0000059654885,0.9966588,0.0026227313,0.00014909414,0.000101375554,0.0000022559825],"about_ca_topic_score_codex":0.0030688157,"about_ca_topic_score_gemma":0.0034734807,"teacher_disagreement_score":0.0030688157,"about_ca_system_score_codex":0.00029224,"about_ca_system_score_gemma":0.00020795527,"threshold_uncertainty_score":0.0061019063},"labels":[],"label_agreement":null},{"id":"W4381186473","doi":"10.11159/ehst23.110","title":"Online State-Estimation of Lithium-Ion Battery’s Operational States Using the Electrochemical Model Based Nonlinear Kalman Filter","year":2023,"lang":"en","type":"article","venue":"Proceedings of the International Conference of Energy Harvesting, Storage, and Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Kalman filter; Extended Kalman filter; Ion; Battery (electricity); Computer science; Nonlinear system; Lithium (medication); State (computer science); Electrochemistry; State of charge; Estimation; Control theory (sociology); Lithium-ion battery; Engineering; Electrode; Algorithm; Chemistry; Physics; Artificial intelligence; Power (physics); Systems engineering; Thermodynamics; Physical chemistry","score_opus":0.033232705812378076,"score_gpt":0.2684904260184507,"score_spread":0.2352577202060726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381186473","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03628069,0.0008230099,0.9587069,0.00014059417,0.00008805914,0.000048017395,0.00016102391,0.0012142136,0.0025374654],"genre_scores_gemma":[0.95747674,0.0009441243,0.037824556,0.00008045539,0.000060114984,0.00015769147,0.00046558975,0.000039907052,0.0029507813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977416,0.000024280818,0.00001827867,0.00008727788,0.000071361275,0.000024624102],"domain_scores_gemma":[0.99975854,0.00008115159,0.000045094537,0.000019126413,0.00008691428,0.000009302998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003331965,0.0008673027,0.0008770082,0.0003500039,0.00035600818,0.0007826914,0.0007494411,0.00055657595,0.0013749695],"category_scores_gemma":[0.0012575327,0.00036405155,0.0005049622,0.0003621883,0.00029228933,0.0009647185,0.00059933274,0.00087214523,0.00063324126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021420664,0.00009249342,0.004806646,0.00032558024,0.00012338956,0.00011888844,0.00017786947,0.80644596,0.012318916,0.0030602226,0.0017571284,0.17055872],"study_design_scores_gemma":[0.000008807567,0.000030557927,0.0008127623,0.0000085320535,0.000015609381,0.000013197385,0.000007702035,0.99683976,0.0012763343,0.00054293836,0.00043346224,0.00001032476],"about_ca_topic_score_codex":0.01697151,"about_ca_topic_score_gemma":0.0102184685,"teacher_disagreement_score":0.01697151,"about_ca_system_score_codex":0.0005942097,"about_ca_system_score_gemma":0.000814976,"threshold_uncertainty_score":0.033745408},"labels":[],"label_agreement":null},{"id":"W4381198913","doi":"10.1109/icjece.2023.3264852","title":"An Adaptive Fault Diagnosis of Electric Vehicles: An Artificial Intelligence Blended Signal Processing Methodology","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cluster analysis; SIGNAL (programming language); Inverter; Fault (geology); Computer science; Propulsion; Control engineering; Voltage; Signal processing; Engineering; Artificial intelligence; Digital signal processing; Computer hardware; Electrical engineering","score_opus":0.05494971731679269,"score_gpt":0.2869073272716714,"score_spread":0.2319576099548787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381198913","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034391347,0.00011861388,0.9955113,0.000041477357,0.000013762384,0.00001492416,0.0000062683102,0.00009997162,0.00075461034],"genre_scores_gemma":[0.4790741,0.0006529665,0.5167539,0.0000913038,0.00009508845,0.00012255667,0.000061288716,0.000039205777,0.003109501],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998441,0.000031037558,0.000009288119,0.000043118187,0.00006000136,0.000012490797],"domain_scores_gemma":[0.9998808,0.00005029792,0.000017171727,0.000010123168,0.000037198126,0.0000044608278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002556274,0.0004857287,0.00027729318,0.00061395444,0.00019682624,0.00045856656,0.0005821865,0.00052287156,0.0006928259],"category_scores_gemma":[0.0005672257,0.00015373499,0.00038785953,0.00040943647,0.00031750606,0.0005172108,0.0002926016,0.0005015454,0.00023379586],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082863415,0.000101706726,0.0011320573,0.00021898236,0.00008070156,0.0001912974,0.00016093363,0.39748895,0.049117126,0.035003312,0.00096932275,0.51545274],"study_design_scores_gemma":[0.00000465041,0.000058602738,0.0002478481,0.000008774927,0.000009489389,0.00006144484,0.000010973294,0.9893171,0.0039732577,0.004968122,0.0013336667,0.000005988045],"about_ca_topic_score_codex":0.0008077891,"about_ca_topic_score_gemma":0.0005684789,"teacher_disagreement_score":0.0008077891,"about_ca_system_score_codex":0.0002602368,"about_ca_system_score_gemma":0.00026556177,"threshold_uncertainty_score":0.002317667},"labels":[],"label_agreement":null},{"id":"W4381549590","doi":"10.1016/j.est.2023.107914","title":"Supertwisting sliding mode controller for grid-to-vehicle and vehicle-to-grid battery electric vehicle charger","year":2023,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"National University of Computer and Emerging Sciences","keywords":"Controller (irrigation); Electric vehicle; Converters; MATLAB; Battery (electricity); Automotive engineering; Battery charger; Grid; Battery pack; Vehicle-to-grid; Power (physics); Engineering; Sliding mode control; Computer science; Control theory (sociology); Electrical engineering; Voltage; Control (management)","score_opus":0.01902709267292396,"score_gpt":0.26709511427105737,"score_spread":0.2480680215981334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381549590","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1120496,0.0005553857,0.87102896,0.00019122956,0.00039322826,0.0001257982,0.000075138305,0.0013825877,0.014198111],"genre_scores_gemma":[0.98378354,0.00010874669,0.01162432,0.000060733186,0.000031108917,0.00007908616,0.000068321286,0.000016379636,0.0042278497],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997311,0.000032734788,0.000023846427,0.00008151508,0.00008614521,0.000044653887],"domain_scores_gemma":[0.9997004,0.000049249997,0.000036391666,0.000040649138,0.00015536851,0.000017949758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038320373,0.00056319416,0.0006054718,0.00031148383,0.0005813384,0.00054606487,0.00095157593,0.0004927778,0.004220561],"category_scores_gemma":[0.00048643272,0.00018454174,0.0003303202,0.00026579152,0.00030464813,0.00051933853,0.00080812984,0.0005540594,0.0005763741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00156239,0.00025056442,0.0026465522,0.00067701645,0.00019420203,0.0006242683,0.0006212006,0.38233063,0.09162629,0.009776239,0.00787834,0.50181234],"study_design_scores_gemma":[0.000049873874,0.0005078458,0.0010075491,0.000014480984,0.000023196468,0.00007829115,0.000044599423,0.9898441,0.005387784,0.0010520613,0.0019765487,0.000013730222],"about_ca_topic_score_codex":0.0036795854,"about_ca_topic_score_gemma":0.003810019,"teacher_disagreement_score":0.004220561,"about_ca_system_score_codex":0.0002633091,"about_ca_system_score_gemma":0.00048549005,"threshold_uncertainty_score":0.014119208},"labels":[],"label_agreement":null},{"id":"W4381619411","doi":"10.11159/ffhmt23.165","title":"Comparison of PCM Mediums for Hybrid Thermal Management of Electric Battery Packs","year":2023,"lang":"en","type":"article","venue":"Proceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Thermal management of electronic devices and systems; Battery (electricity); Electrical engineering; Thermal; Automotive engineering; Computer science; Materials science; Engineering; Mechanical engineering; Physics; Meteorology; Power (physics)","score_opus":0.03902264834654121,"score_gpt":0.29635455588373494,"score_spread":0.2573319075371937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381619411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91119534,0.0071653593,0.06374987,0.00019959296,0.00044720905,0.00016123548,0.00031553552,0.00043342405,0.016332522],"genre_scores_gemma":[0.9866996,0.0013330431,0.00912154,0.000030889896,0.000022967968,0.00005958813,0.00012313692,0.000031627165,0.0025777237],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981743,0.000030371679,0.000012668215,0.000020214504,0.00009559603,0.000023731078],"domain_scores_gemma":[0.99976224,0.00008110044,0.000024328438,0.000025697373,0.00008556345,0.000021087906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002916897,0.0002861166,0.0003031557,0.00056114997,0.00023799832,0.00068793574,0.0004962913,0.0002366885,0.0016918562],"category_scores_gemma":[0.000693393,0.000112069945,0.00024104542,0.00047086008,0.00019914212,0.00096649135,0.00041489454,0.00023814903,0.0003506456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002299855,0.00044843814,0.0031791825,0.0020943233,0.000109353794,0.00051058194,0.00032434406,0.051725592,0.6630557,0.0077517796,0.0024522766,0.2660486],"study_design_scores_gemma":[0.00013445281,0.0028205994,0.0047855144,0.000119779186,0.00014145627,0.00047028414,0.0004900326,0.13764396,0.8198896,0.001092171,0.032331016,0.000081105485],"about_ca_topic_score_codex":0.00034926325,"about_ca_topic_score_gemma":0.0007400908,"teacher_disagreement_score":0.0016918562,"about_ca_system_score_codex":0.00025588344,"about_ca_system_score_gemma":0.0001707459,"threshold_uncertainty_score":0.0056598186},"labels":[],"label_agreement":null},{"id":"W4381786077","doi":"10.1109/tpel.2023.3288393","title":"A Review of Electric Vehicle Auxiliary Power Modules: Challenges, Topologies, and Future Trends","year":2023,"lang":"en","type":"review","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Network topology; Electrical engineering; Voltage; Reliability (semiconductor); Component (thermodynamics); Power (physics); Engineering; Traction (geology); Battery (electricity); Computer science; Automotive engineering; Topology (electrical circuits); Reliability engineering; Electronic engineering; Mechanical engineering; Computer network","score_opus":0.03475038988528763,"score_gpt":0.31581607386173466,"score_spread":0.28106568397644704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381786077","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00064369716,0.99247897,0.0013042901,0.00035359885,0.00041875392,0.000012120247,0.000053456537,0.000026207212,0.004708956],"genre_scores_gemma":[0.0023020543,0.9932749,0.0011445575,0.0002381956,0.00029861668,0.000012412483,0.00009357223,0.0000067913165,0.0026288205],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99979836,0.000023139557,0.000029789493,0.000040820323,0.000092113536,0.00001581464],"domain_scores_gemma":[0.99959415,0.00015770893,0.000054003613,0.000012102834,0.00015775583,0.000024324812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004593939,0.0007736768,0.00077223644,0.0022873583,0.0002731984,0.0010003567,0.0007959176,0.00078686135,0.0049811658],"category_scores_gemma":[0.0007525775,0.0003661596,0.0005478909,0.0029199172,0.00023624774,0.0023110295,0.00040617448,0.00085966947,0.0027150991],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004589188,0.000079189995,0.00032289908,0.02425014,0.00006537316,0.00019639883,0.000100000005,0.0011053258,0.0044859056,0.009186783,0.038509157,0.92165285],"study_design_scores_gemma":[0.000003913858,0.00010157756,0.00042113994,0.002645711,0.00008087108,0.0007780546,0.000069298956,0.0002754605,0.000971109,0.0015674946,0.99306715,0.000018393415],"about_ca_topic_score_codex":0.0007129296,"about_ca_topic_score_gemma":0.0013063013,"teacher_disagreement_score":0.0049811658,"about_ca_system_score_codex":0.00037996095,"about_ca_system_score_gemma":0.0007680865,"threshold_uncertainty_score":0.01666367},"labels":[],"label_agreement":null},{"id":"W4381848013","doi":"10.1016/j.est.2023.107797","title":"Thermal behaviour of Li-ion battery: An improved electrothermal model considering the effects of depth of discharge and temperature","year":2023,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Mission on Nano Science and Technology; Ministry of Education, India; Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Voltage; Materials science; Current (fluid); Ion; Thermal; Approximation error; Analytical Chemistry (journal); Temperature measurement; Mechanics; Chemistry; Thermodynamics; Electrical engineering; Physics; Engineering; Statistics; Mathematics","score_opus":0.00851475927770447,"score_gpt":0.2395097673855539,"score_spread":0.23099500810784943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381848013","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3176974,0.0018231617,0.66489536,0.00035625426,0.00013195432,0.00014019043,0.00035419047,0.0006120916,0.013989381],"genre_scores_gemma":[0.9861438,0.0005606435,0.007628977,0.000046056466,0.000015783427,0.00010348425,0.00011624643,0.000029252498,0.005355627],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985945,0.00002306452,0.000009516074,0.000033363063,0.00005811767,0.000016357502],"domain_scores_gemma":[0.99990106,0.00003075586,0.00001687809,0.00001432145,0.000032365522,0.000004521994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001861979,0.00048733797,0.00055910496,0.0002350045,0.00024666448,0.0006702499,0.0011060776,0.0009325991,0.0007553314],"category_scores_gemma":[0.00042201258,0.00028095653,0.0007955983,0.00029353314,0.00033580107,0.0013110616,0.0004206135,0.0005017868,0.00022187288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005510084,0.00003924922,0.00083825114,0.00009255832,0.000025333566,0.0001303234,0.00006323731,0.96225345,0.027346162,0.0014883947,0.00019440183,0.00747346],"study_design_scores_gemma":[0.000003573248,0.000030157724,0.00024798163,0.0000036243787,0.000008840544,0.00003183693,0.000007139402,0.9961324,0.0028752016,0.00024330214,0.00040904034,0.000006895082],"about_ca_topic_score_codex":0.0025598041,"about_ca_topic_score_gemma":0.0022198977,"teacher_disagreement_score":0.0025598041,"about_ca_system_score_codex":0.0004417514,"about_ca_system_score_gemma":0.0005065126,"threshold_uncertainty_score":0.00508976},"labels":[],"label_agreement":null},{"id":"W4382059475","doi":"10.3390/en16134897","title":"Efficient Management of Energy Consumption of Electric Vehicles Using Machine Learning—A Systematic and Comprehensive Survey","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Fundação para a Ciência e a Tecnologia; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Electricity; Popularity; Energy consumption; Consumption (sociology); Variety (cybernetics); Computer science; Field (mathematics); Order (exchange); Environmental economics; Engineering; Risk analysis (engineering); Artificial intelligence; Machine learning; Industrial engineering; Business; Electrical engineering","score_opus":0.03672707660114196,"score_gpt":0.2754523642978042,"score_spread":0.2387252876966622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382059475","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017182922,0.9355091,0.030297572,0.0014417692,0.0004529364,0.00006359898,0.0004719872,0.00017507952,0.014405104],"genre_scores_gemma":[0.09613891,0.88733035,0.011950124,0.00033353805,0.00068739196,0.00004690622,0.0009485208,0.00005400413,0.0025103036],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99942905,0.00011325163,0.00008330702,0.00012200671,0.0002105987,0.000041760166],"domain_scores_gemma":[0.99817824,0.0011486226,0.00015572485,0.00007188139,0.00041785877,0.000027663264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096676714,0.00081307406,0.0007557865,0.0031928152,0.00026751496,0.0014053046,0.0006937611,0.0006036378,0.0014911771],"category_scores_gemma":[0.0024472359,0.00029416714,0.000579282,0.0043798885,0.00026954853,0.002063791,0.00042085355,0.0004011809,0.00058217655],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051831692,0.00008828798,0.0064459713,0.011581036,0.00012947788,0.000120310186,0.00014919393,0.009320656,0.0015590341,0.010008607,0.011005767,0.94953996],"study_design_scores_gemma":[0.000026448037,0.00073226384,0.026524104,0.018890014,0.0011382875,0.0017469843,0.0020445052,0.06140057,0.015045032,0.04181147,0.83043635,0.00020398173],"about_ca_topic_score_codex":0.0011922335,"about_ca_topic_score_gemma":0.001308592,"teacher_disagreement_score":0.0031928152,"about_ca_system_score_codex":0.000374168,"about_ca_system_score_gemma":0.0008938578,"threshold_uncertainty_score":0.005112827},"labels":[],"label_agreement":null},{"id":"W4382204183","doi":"10.1109/phm58589.2023.00055","title":"Particle Filter and Its Variants for Degradation State Estimation and Remaining Useful Life Prediction","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Gastops (Canada); Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Particle filter; Auxiliary particle filter; Benchmark (surveying); Computer science; Resampling; Prognostics; Algorithm; Markov chain Monte Carlo; Bayesian probability; Ensemble Kalman filter; Mathematical optimization; Data mining; Artificial intelligence; Extended Kalman filter; Kalman filter; Mathematics","score_opus":0.053000240448551894,"score_gpt":0.2877430036848215,"score_spread":0.23474276323626958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382204183","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004914775,0.00162657,0.99156255,0.00015664613,0.00011755324,0.000034861692,0.00011795673,0.000416052,0.0010530051],"genre_scores_gemma":[0.50862163,0.006810767,0.4754985,0.000275817,0.00047452594,0.00036883765,0.0014091822,0.00018052348,0.006360289],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991473,0.00019752386,0.00008198226,0.00023671167,0.00026256827,0.00007399583],"domain_scores_gemma":[0.9982047,0.0009816025,0.00012910385,0.00013804405,0.0005076708,0.00003885224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017524526,0.0012572131,0.0014581305,0.0011659908,0.0005218509,0.0010470703,0.0011319849,0.001458175,0.001600786],"category_scores_gemma":[0.0055269054,0.0005628851,0.0012698658,0.0014233204,0.00046607995,0.0015111925,0.00069092755,0.0017873173,0.0005388804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018769439,0.00007917538,0.002241911,0.00033096,0.00016149481,0.000115625895,0.00010324348,0.7586144,0.0028519316,0.012025139,0.0033139035,0.21997453],"study_design_scores_gemma":[0.000010870131,0.000033902666,0.00058075134,0.00001593516,0.00002340691,0.000033381733,0.000009792783,0.9939855,0.00076081837,0.002671591,0.0018573587,0.000016816266],"about_ca_topic_score_codex":0.023678286,"about_ca_topic_score_gemma":0.009918978,"teacher_disagreement_score":0.023678286,"about_ca_system_score_codex":0.0006533428,"about_ca_system_score_gemma":0.0016282937,"threshold_uncertainty_score":0.047080874},"labels":[],"label_agreement":null},{"id":"W4382401498","doi":"10.1016/j.ijhydene.2023.06.090","title":"Hydrogen fuel cell integration and testing in a hybrid-electric propulsion rig","year":2023,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Fundação para a Ciência e a Tecnologia; Canada Research Chairs","keywords":"Stack (abstract data type); Propulsion; Automotive engineering; Battery (electricity); Electrically powered spacecraft propulsion; Power (physics); Computer science; Proton exchange membrane fuel cell; Hydrogen fuel; Fuel cells; Hydrogen vehicle; Test bench; Electric motor; Electric power system; Electric power; Hybrid vehicle; Hybrid system; Electrical engineering; Engineering; Aerospace engineering; Embedded system; Physics; Chemical engineering","score_opus":0.016210638740072364,"score_gpt":0.2589046276754761,"score_spread":0.24269398893540375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382401498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951957,0.00006262401,0.0033387307,0.000027157203,0.000026693138,0.00006923132,0.00028412518,0.00015176873,0.00084396166],"genre_scores_gemma":[0.9955006,0.00006529249,0.0025224106,0.0000152271905,0.0000044541553,0.000056300134,0.00018080384,0.000022893822,0.0016318446],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979144,0.000021127837,0.000010733044,0.00004592647,0.000089114284,0.000041689225],"domain_scores_gemma":[0.99981993,0.00002585826,0.00001276965,0.00003252794,0.00008265069,0.00002633359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035414487,0.00042444112,0.0003948422,0.00029549643,0.00043058296,0.00040566656,0.0007005886,0.00065913453,0.0024597521],"category_scores_gemma":[0.00031859826,0.00014882456,0.0003331374,0.00029310837,0.00028938343,0.00052870053,0.00044044692,0.00042818068,0.0006465301],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070764305,0.00051158224,0.002596704,0.00022993752,0.000043482,0.0004880544,0.00019851347,0.005944348,0.97721976,0.00026762273,0.00035294596,0.011439371],"study_design_scores_gemma":[0.000058083893,0.004608667,0.0049687284,0.00001415052,0.000029576855,0.00016481172,0.0002369286,0.010167754,0.9771145,0.00015096593,0.002460438,0.000025361183],"about_ca_topic_score_codex":0.0011971969,"about_ca_topic_score_gemma":0.001287294,"teacher_disagreement_score":0.0024597521,"about_ca_system_score_codex":0.00027917314,"about_ca_system_score_gemma":0.00029225615,"threshold_uncertainty_score":0.008228719},"labels":[],"label_agreement":null},{"id":"W4383032863","doi":"10.1016/j.est.2023.108235","title":"Numerical optimization of lithium-ion cell performance using metaheuristic algorithms","year":2023,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; École de Technologie Supérieure; Hydro-Québec","funders":"Mitacs; Hydro-Québec","keywords":"Cuckoo search; Metaheuristic; Power (physics); Lithium (medication); Computer science; Energy (signal processing); Key (lock); Battery (electricity); Mathematical optimization; Automotive engineering; Algorithm; Engineering; Mathematics; Particle swarm optimization","score_opus":0.021587202629479618,"score_gpt":0.25989953292435647,"score_spread":0.23831233029487686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383032863","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43496892,0.0023309211,0.51557994,0.0012998472,0.00032965117,0.00021539946,0.00037985345,0.0006826914,0.044212896],"genre_scores_gemma":[0.9377715,0.0002689486,0.05796764,0.00010087815,0.00003751577,0.00015925396,0.000117316806,0.00005884024,0.0035181185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998165,0.000073285046,0.000007890028,0.000020900006,0.00004680756,0.000034668916],"domain_scores_gemma":[0.99906427,0.00067121536,0.00008086888,0.000026156014,0.00012664306,0.000030933803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007324308,0.00076790905,0.0008437511,0.0008060268,0.0005747903,0.001253381,0.0008925123,0.0017894597,0.0023476288],"category_scores_gemma":[0.0022756443,0.000498566,0.00075321354,0.00078972446,0.0005831287,0.00059448276,0.0005586596,0.00074933865,0.00023739184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024814983,0.000019693834,0.00012007051,0.000016913345,0.000011576039,0.000012444376,0.000006715414,0.9964921,0.00030845232,0.00064174307,0.00011989979,0.0022254789],"study_design_scores_gemma":[0.000008317904,0.000014047519,0.000033781103,0.0000025442337,0.0000031080551,0.0000020897562,0.0000046849295,0.99952376,0.00015303615,0.00018219427,0.00007063014,0.0000016922475],"about_ca_topic_score_codex":0.009475745,"about_ca_topic_score_gemma":0.006468118,"teacher_disagreement_score":0.009475745,"about_ca_system_score_codex":0.0012562338,"about_ca_system_score_gemma":0.0011376159,"threshold_uncertainty_score":0.018841147},"labels":[],"label_agreement":null},{"id":"W4383197349","doi":"10.1002/est2.501","title":"A comprehensive review on battery thermal management system for better guidance and operation","year":2023,"lang":"en","type":"review","venue":"Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Bilimsel Araştırma Projeleri, Erciyes Üniversitesi","keywords":"Battery (electricity); Computer science; Electrification; Work (physics); Thermal; Automotive engineering; Stability (learning theory); Range (aeronautics); Reliability engineering; Environmental science; Electrical engineering; Mechanical engineering; Engineering; Electricity; Power (physics); Aerospace engineering; Thermodynamics","score_opus":0.05306598353026213,"score_gpt":0.3185930117485947,"score_spread":0.2655270282183326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383197349","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009225044,0.99119204,0.0020980802,0.00029558354,0.00058203435,0.00003328681,0.00012180688,0.00004853115,0.00470609],"genre_scores_gemma":[0.006269707,0.988069,0.0017626758,0.00023058694,0.0003167165,0.00003774671,0.0002628523,0.000017570132,0.0030331567],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995542,0.000068764544,0.00008763112,0.00008389193,0.00017659042,0.000028916034],"domain_scores_gemma":[0.9995389,0.000179307,0.000056436194,0.000019334191,0.00018827608,0.000017735621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056565483,0.0008539825,0.0011413264,0.0026731521,0.00035895436,0.0010890685,0.00096456823,0.00079408055,0.0054504685],"category_scores_gemma":[0.0009315711,0.0003181536,0.0010426377,0.0029562735,0.0001921936,0.001986681,0.00048785922,0.00063610874,0.0018321204],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009689595,0.00009032902,0.0004738064,0.053330313,0.0001642804,0.00024405356,0.00014027265,0.0016129424,0.0060809064,0.006550634,0.041737676,0.88947785],"study_design_scores_gemma":[0.000008786509,0.0001715365,0.0008955259,0.00393235,0.0002735596,0.00072327984,0.00009214793,0.0007957103,0.0036699632,0.0011632366,0.98823464,0.00003930138],"about_ca_topic_score_codex":0.0013577621,"about_ca_topic_score_gemma":0.0013834264,"teacher_disagreement_score":0.0054504685,"about_ca_system_score_codex":0.00046926358,"about_ca_system_score_gemma":0.0010522933,"threshold_uncertainty_score":0.018233597},"labels":[],"label_agreement":null},{"id":"W4383312541","doi":"10.1016/j.icheatmasstransfer.2023.106907","title":"Computational modelling and statistical evaluation of thermal runaway safety regime response on lithium-ion battery with different cathodic chemistry and varying ambient condition","year":2023,"lang":"en","type":"article","venue":"International Communications in Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Thermal runaway; Battery (electricity); Nuclear engineering; Thermal; Materials science; Mechanics; Environmental science; Lithium (medication); Thermodynamics; Physics; Engineering","score_opus":0.049035260273870826,"score_gpt":0.3260649241897262,"score_spread":0.2770296639158554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383312541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9795664,0.00017324067,0.013033963,0.00026313338,0.000038715538,0.000020482892,0.00039908654,0.00015865153,0.006346252],"genre_scores_gemma":[0.9982822,0.000033432298,0.00076926814,0.000013587106,0.000005846016,0.000015078877,0.00014662505,0.000014245495,0.0007196921],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999323,0.000015239518,0.0000035318487,0.000013657281,0.000016985225,0.000018269748],"domain_scores_gemma":[0.9990588,0.00067798834,0.000047376074,0.00004580842,0.00014507052,0.000024953917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002794871,0.00031294295,0.00045845294,0.0003209411,0.00048005584,0.0005676364,0.0006654238,0.00067846524,0.0024257044],"category_scores_gemma":[0.0012802131,0.00020547619,0.0005960535,0.00037199864,0.00038421826,0.0003899048,0.00024767974,0.0005145712,0.00015358524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056088076,0.000036615744,0.0012305576,0.00003983143,0.000011624774,0.000046596575,0.00001883719,0.99480975,0.0011427649,0.00083865447,0.00027623086,0.0014923532],"study_design_scores_gemma":[0.0000013660452,0.000010753716,0.0003297019,8.868907e-7,0.000001981622,0.00000304039,0.000007241688,0.9991906,0.00029804753,0.00012496529,0.000029451125,0.000001958188],"about_ca_topic_score_codex":0.013712597,"about_ca_topic_score_gemma":0.008739367,"teacher_disagreement_score":0.013712597,"about_ca_system_score_codex":0.00057836756,"about_ca_system_score_gemma":0.0005283945,"threshold_uncertainty_score":0.027265549},"labels":[],"label_agreement":null},{"id":"W4383316220","doi":"10.2514/6.2023-3988.c1","title":"Correction: Experimental Validation of a Module-Level Battery Safety System for Thermal Runaway Containment","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Thermal runaway; Containment (computer programming); Battery (electricity); Computer science; Reliability engineering; Engineering; Programming language; Physics","score_opus":0.03528189475072547,"score_gpt":0.28200577328080206,"score_spread":0.2467238785300766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383316220","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00049817946,0.0005160346,0.002977239,0.028139353,0.9603262,0.000042239943,0.0024953852,0.0018023379,0.0032031143],"genre_scores_gemma":[0.08795887,0.00897425,0.03901304,0.11531587,0.28544167,0.00064882153,0.010116296,0.009683769,0.44284737],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99655247,0.00030506044,0.00052497414,0.0005915985,0.0016971271,0.0003287213],"domain_scores_gemma":[0.9573108,0.006397473,0.0019707405,0.0033876793,0.029572144,0.0013611915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020403874,0.0021651902,0.0018813036,0.0027728702,0.0035729613,0.0032015245,0.0043405597,0.010374964,0.07323061],"category_scores_gemma":[0.04946771,0.0015751949,0.0014547802,0.0023026504,0.002861425,0.0028487376,0.00232527,0.011413959,0.045940697],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000782108,0.000011887621,0.0001237729,0.00024352012,0.00001867763,0.00033226612,0.00006479898,0.00021009872,0.00042892437,0.0011091103,0.98820704,0.009171735],"study_design_scores_gemma":[0.00010617029,0.0000457931,0.0018039313,0.000329315,0.000056659155,0.00068967475,0.00022910244,0.001126376,0.0025362198,0.002104228,0.990892,0.00008053466],"about_ca_topic_score_codex":0.020919887,"about_ca_topic_score_gemma":0.023669828,"teacher_disagreement_score":0.07323061,"about_ca_system_score_codex":0.0032901121,"about_ca_system_score_gemma":0.00579247,"threshold_uncertainty_score":0.24498081},"labels":[],"label_agreement":null},{"id":"W4383376217","doi":"10.3390/machines11070713","title":"Fault Detection and Diagnosis of the Electric Motor Drive and Battery System of Electric Vehicles","year":2023,"lang":"en","type":"article","venue":"Machines","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Fault detection and isolation; Battery (electricity); Fault (geology); Reliability (semiconductor); Computer science; Automotive engineering; Traction motor; Reliability engineering; Engineering; Power (physics); Electrical engineering; Actuator","score_opus":0.007456900496938881,"score_gpt":0.2277590540647175,"score_spread":0.2203021535677786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383376217","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057620402,0.026574811,0.904454,0.0006526772,0.00039046572,0.00010184916,0.00033549746,0.0006939385,0.009176308],"genre_scores_gemma":[0.9086705,0.012596884,0.07047321,0.00013069823,0.00023890758,0.00006878826,0.0005361945,0.000029331633,0.007255428],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998016,0.000029750836,0.000015166372,0.000047274676,0.00009122745,0.000015129634],"domain_scores_gemma":[0.99978846,0.0000905702,0.000029485836,0.00001071953,0.00007525331,0.000005595874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001692706,0.00038831052,0.00035331733,0.0008821629,0.00019969085,0.00048634928,0.00033484795,0.00060753257,0.0006876217],"category_scores_gemma":[0.00077762647,0.00013002215,0.00024294107,0.00051919895,0.00026990264,0.0005358255,0.00022194289,0.00029842157,0.00031319633],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015649085,0.00006088308,0.006235753,0.0013184772,0.00006280661,0.0005923177,0.00022805575,0.15081108,0.033146694,0.021014763,0.0056114527,0.78076124],"study_design_scores_gemma":[0.000017308554,0.00026110807,0.012423831,0.00022677808,0.00005440281,0.0013181387,0.00016991631,0.89415383,0.024985768,0.019676598,0.046651352,0.00006105395],"about_ca_topic_score_codex":0.0024242084,"about_ca_topic_score_gemma":0.0014568182,"teacher_disagreement_score":0.0024242084,"about_ca_system_score_codex":0.0003526394,"about_ca_system_score_gemma":0.00029910775,"threshold_uncertainty_score":0.004820168},"labels":[],"label_agreement":null},{"id":"W4383552234","doi":"10.3390/en16135193","title":"Overview of the Potential of Energy Harvesting Sources in Electric Vehicles","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Energy (signal processing); Electricity; Electric potential energy; Energy recovery; Automotive engineering; Efficient energy use; Energy harvesting; Energy consumption; Engineering; Computer science; Electrical engineering","score_opus":0.021730227137292696,"score_gpt":0.25643739648816427,"score_spread":0.23470716935087158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383552234","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008775427,0.8215373,0.018697971,0.0016179293,0.00062480837,0.000087351735,0.00018720108,0.00013193555,0.14834008],"genre_scores_gemma":[0.041796792,0.91268945,0.012630771,0.0005535788,0.000536448,0.00006593154,0.00024464645,0.0000305494,0.03145186],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99985147,0.000022290005,0.000014241256,0.000028368426,0.00006822426,0.000015510748],"domain_scores_gemma":[0.9998419,0.00007176866,0.000012377113,0.000007939655,0.000057739504,0.000008301918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031407934,0.00041456585,0.0003118466,0.0017353351,0.0003481861,0.0014223509,0.00046020543,0.0008010257,0.004697128],"category_scores_gemma":[0.00021373038,0.00034343128,0.00044992706,0.0018077365,0.00024536529,0.0016038525,0.00044836733,0.0006632908,0.0019241953],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016016065,0.00018886138,0.0010537062,0.010004033,0.00006582715,0.00054754724,0.00022961677,0.007309826,0.02729887,0.102117926,0.019102823,0.83192074],"study_design_scores_gemma":[0.000004341626,0.00025353066,0.0010510279,0.0015136229,0.00004359556,0.00073328236,0.00016089974,0.0020871349,0.00641107,0.013157491,0.97455424,0.000029697483],"about_ca_topic_score_codex":0.00092803553,"about_ca_topic_score_gemma":0.0011775335,"teacher_disagreement_score":0.004697128,"about_ca_system_score_codex":0.0006617394,"about_ca_system_score_gemma":0.0004902946,"threshold_uncertainty_score":0.015713394},"labels":[],"label_agreement":null},{"id":"W4384435986","doi":"10.1016/j.egyr.2023.07.001","title":"Evaluation of detection criteria for thermal runaway experiments on commercial cells for electric vehicles","year":2023,"lang":"en","type":"article","venue":"Energy Reports","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Joint Research Centre; National Research Council Canada; European Commission","keywords":"Thermal runaway; Thermal; Runway; Voltage; Automotive engineering; Nuclear engineering; Computer science; Battery (electricity); Electrical engineering; Engineering; Meteorology; Physics","score_opus":0.05969537721120888,"score_gpt":0.35191256101976726,"score_spread":0.2922171838085584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384435986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82123643,0.0029030873,0.16639213,0.00019943113,0.00026802838,0.0006217931,0.0014408452,0.0021949594,0.00474332],"genre_scores_gemma":[0.9250187,0.0002741218,0.07211119,0.00008184416,0.000026213207,0.0002654463,0.0011793434,0.00018601451,0.00085713767],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9907836,0.0016928279,0.0015661347,0.0011620879,0.0042413385,0.0005540172],"domain_scores_gemma":[0.9263868,0.041605983,0.005585359,0.0050150175,0.020481016,0.00092594716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0097783385,0.00095328066,0.0011706366,0.0040866467,0.0006628225,0.0021274085,0.0018417351,0.0017464951,0.0019202114],"category_scores_gemma":[0.04005567,0.00035786032,0.000850528,0.0021141788,0.00076795474,0.001400701,0.0013629197,0.000602479,0.00075787806],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0071883937,0.0013706852,0.29338053,0.0029601902,0.00055639265,0.001473714,0.0014240554,0.068061285,0.3890407,0.002893518,0.0045415238,0.22710897],"study_design_scores_gemma":[0.00012912636,0.002661496,0.10307791,0.0002820234,0.00041899786,0.0015738561,0.0012529275,0.31090164,0.5722407,0.002014941,0.005149476,0.00029689333],"about_ca_topic_score_codex":0.0020526024,"about_ca_topic_score_gemma":0.0034373067,"teacher_disagreement_score":0.0097783385,"about_ca_system_score_codex":0.000988302,"about_ca_system_score_gemma":0.0005201783,"threshold_uncertainty_score":0.051713407},"labels":[],"label_agreement":null},{"id":"W4384502033","doi":"10.1016/j.rineng.2023.101283","title":"Electric vehicles survey and a multifunctional artificial neural network for predicting energy consumption in all-electric vehicles","year":2023,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Artificial neural network; Electric energy consumption; Energy consumption; Electric vehicle; Automotive engineering; Engineering; Function (biology); Computer science; Simulation; Artificial intelligence; Electric energy; Electrical engineering","score_opus":0.04107956639872871,"score_gpt":0.27712069375579107,"score_spread":0.23604112735706237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384502033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4901301,0.016077958,0.453399,0.0010227659,0.0003907316,0.00013810302,0.0013213163,0.0008707196,0.036649358],"genre_scores_gemma":[0.95656455,0.0053218645,0.029232776,0.000076059136,0.000044757613,0.000038993556,0.00094193494,0.00003058912,0.0077484045],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997985,0.00004480048,0.000017668099,0.00004655883,0.00007851728,0.000013975217],"domain_scores_gemma":[0.999765,0.00005925874,0.000022674974,0.000012971119,0.00013136584,0.000008799755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034258646,0.0006147672,0.00030073992,0.00094854226,0.00014627108,0.00047758973,0.0003733435,0.00040536563,0.0009926553],"category_scores_gemma":[0.00082736375,0.00020299219,0.0004192289,0.0010977335,0.00008708603,0.00079793955,0.00024243294,0.00035401576,0.00019858444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118914635,0.00016314395,0.03157401,0.00041004844,0.00015574846,0.00021291502,0.00006886007,0.6300303,0.004748036,0.004923409,0.0032651683,0.3243295],"study_design_scores_gemma":[0.0000043061646,0.00009743842,0.010742895,0.000052484487,0.00004077113,0.00005017982,0.00009211262,0.97849566,0.0023661668,0.001688804,0.0063525103,0.000016733253],"about_ca_topic_score_codex":0.010467348,"about_ca_topic_score_gemma":0.0098807085,"teacher_disagreement_score":0.010467348,"about_ca_system_score_codex":0.0003832326,"about_ca_system_score_gemma":0.00030532564,"threshold_uncertainty_score":0.02081287},"labels":[],"label_agreement":null},{"id":"W4384557496","doi":"10.3390/en16145396","title":"Case Studies for Supplying the Alternating Current Auxiliary Systems of Substations with a Voltage Equal to or Higher than 230 kV","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Agência Nacional de Energia Elétrica; Eletrobras; Fundação Parque Tecnológico Itaipu; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Universidade de Pernambuco; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Photovoltaic system; Reliability (semiconductor); Alternating current; Voltage; Reliability engineering; Battery (electricity); Transmission (telecommunications); Transmission system; Automotive engineering; Electrical engineering; Power (physics); Computer science; Engineering; Physics","score_opus":0.11394474301131435,"score_gpt":0.37517395490093863,"score_spread":0.2612292118896243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384557496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94917864,0.0003086933,0.03015784,0.0002625346,0.000060382034,0.00036851232,0.00055058824,0.00017631153,0.018936541],"genre_scores_gemma":[0.9873081,0.0001723389,0.009148281,0.000022344875,0.000009081868,0.000062082305,0.0001450702,0.000020753936,0.003111955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"case_report","domain_scores_codex":[0.99926966,0.00035900137,0.000035942252,0.000057824676,0.00018884371,0.000088715635],"domain_scores_gemma":[0.99842405,0.0008978487,0.000113844515,0.00012621452,0.0003316594,0.00010632486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054509245,0.0006555011,0.00038825648,0.0005967251,0.0008400092,0.00065566326,0.0008884726,0.0013585815,0.0040297993],"category_scores_gemma":[0.0019935851,0.00021096531,0.0005685401,0.0008274383,0.0004225262,0.0007466727,0.00049758377,0.0006345048,0.0005457293],"study_design_candidate":"case_report","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0027021838,0.0020867828,0.05632219,0.0022347488,0.0003615504,0.042705655,0.0027357223,0.6650131,0.0693577,0.020479193,0.01477877,0.12122247],"study_design_scores_gemma":[0.0009606481,0.0060497564,0.046849933,0.00033896614,0.0006094865,0.016681252,0.012262756,0.67059934,0.14790198,0.014122569,0.08338529,0.00023800961],"about_ca_topic_score_codex":0.0043811384,"about_ca_topic_score_gemma":0.00952392,"teacher_disagreement_score":0.0043811384,"about_ca_system_score_codex":0.0008117329,"about_ca_system_score_gemma":0.00042494904,"threshold_uncertainty_score":0.0134810805},"labels":[],"label_agreement":null},{"id":"W4384701304","doi":"10.1016/j.energy.2023.128458","title":"Simulation of the temperature distribution of lithium-ion battery module considering the time-delay effect of the porous electrodes","year":2023,"lang":"en","type":"article","venue":"Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Battery (electricity); Heat transfer; Thermodynamics; Materials science; Lithium-ion battery; Mechanics; Thermal conduction; Diffusion; Physics; Power (physics)","score_opus":0.0058529595581831365,"score_gpt":0.22912725282253113,"score_spread":0.223274293264348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384701304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9688201,0.00020542687,0.018872464,0.00019772068,0.00006338268,0.000025017309,0.00034718175,0.00029641562,0.011172301],"genre_scores_gemma":[0.9976215,0.000046351153,0.0009211854,0.000012055623,0.0000034005939,0.0000096607555,0.000067231056,0.000013988289,0.001304653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999938,0.000008375227,0.0000024177584,0.000011064856,0.000017204546,0.0000229628],"domain_scores_gemma":[0.9997476,0.00012671057,0.000026623076,0.000013987253,0.0000642269,0.000020897965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012755128,0.00031189033,0.00041693085,0.00025783575,0.00036379517,0.00037948854,0.00068386656,0.00077804894,0.0028114335],"category_scores_gemma":[0.00048332175,0.00021164509,0.0005277213,0.0003961962,0.0003451984,0.00052035454,0.00023999008,0.00033734494,0.00012312448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010028783,0.00003852858,0.0017443359,0.00005687046,0.000017713726,0.0001471234,0.000045337838,0.9878342,0.0070826365,0.0008612747,0.00023836526,0.0018333856],"study_design_scores_gemma":[0.0000087710805,0.00003302339,0.0005928217,0.0000027893009,0.0000067664564,0.000012060615,0.000020453734,0.9962392,0.0028169155,0.00012602843,0.00013658487,0.0000045296156],"about_ca_topic_score_codex":0.0104873385,"about_ca_topic_score_gemma":0.0055452846,"teacher_disagreement_score":0.0104873385,"about_ca_system_score_codex":0.0005434753,"about_ca_system_score_gemma":0.0005352716,"threshold_uncertainty_score":0.020852625},"labels":[],"label_agreement":null},{"id":"W4384823889","doi":"10.1002/cnl2.78","title":"Recent progress in the development of carbon‐based materials in lead–carbon batteries","year":2023,"lang":"en","type":"article","venue":"Carbon Neutralization","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nexen (Canada)","funders":"Korea Institute of Energy Technology Evaluation and Planning; Korea Evaluation Institute of Industrial Technology; National Research Foundation of Korea; Ministry of Science and ICT, South Korea; Ministry of Trade, Industry and Energy; National Research Foundation","keywords":"Renewable energy; Battery (electricity); Energy storage; Lead–acid battery; Carbon fibers; Electrochemical energy storage; Lead (geology); Nanotechnology; Biochemical engineering; Materials science; Environmental science; Process engineering; Computer science; Architectural engineering; Composite number; Electrode; Engineering; Supercapacitor; Power (physics); Electrochemistry; Electrical engineering; Chemistry; Composite material","score_opus":0.03588629452310992,"score_gpt":0.2917935611399551,"score_spread":0.25590726661684515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384823889","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0072853733,0.9788777,0.0032866495,0.0008640191,0.00042908613,0.000015567552,0.000030360497,0.00003168511,0.009179613],"genre_scores_gemma":[0.05145508,0.9400741,0.0045136567,0.00054234144,0.0005542143,0.00002328582,0.00008037535,0.000012390699,0.0027445252],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999671,0.000056593493,0.000042361313,0.000078480174,0.00011947344,0.00003207104],"domain_scores_gemma":[0.9992766,0.0002894766,0.000098099394,0.000027628465,0.00025768395,0.000050468407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011545962,0.00065305637,0.00040442232,0.0011649572,0.00029981637,0.0010929337,0.00062093197,0.0011035737,0.0020639698],"category_scores_gemma":[0.00086932105,0.0003535397,0.0003820427,0.0017740045,0.0004563701,0.0015473401,0.0005951084,0.0010053972,0.0012752273],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002183101,0.00037696096,0.0015785267,0.029999414,0.00012075906,0.0007265437,0.00036954688,0.002579661,0.09558288,0.027992778,0.012754178,0.8277005],"study_design_scores_gemma":[0.000027444588,0.0006628382,0.0019141724,0.002349151,0.00017007896,0.0016766544,0.00025087807,0.002650151,0.10911934,0.006390522,0.87470716,0.00008157832],"about_ca_topic_score_codex":0.0007691255,"about_ca_topic_score_gemma":0.0009093791,"teacher_disagreement_score":0.0020639698,"about_ca_system_score_codex":0.0005088448,"about_ca_system_score_gemma":0.00078165805,"threshold_uncertainty_score":0.0069046617},"labels":[],"label_agreement":null},{"id":"W4385231845","doi":"10.1109/itec55900.2023.10187084","title":"Feedforward and NARX Neural Network Battery State of Charge Estimation with Robustness to Current Sensor Error","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Nonlinear autoregressive exogenous model; Artificial neural network; Control theory (sociology); State of charge; Autoregressive model; Estimator; Computer science; Robustness (evolution); Feedforward neural network; Feed forward; Battery (electricity); Offset (computer science); Voltage; Engineering; Control engineering; Artificial intelligence; Electrical engineering; Mathematics; Power (physics); Statistics","score_opus":0.025347440214989064,"score_gpt":0.2833653210036351,"score_spread":0.258017880788646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385231845","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40957832,0.0016100878,0.57756114,0.0005727741,0.00029800707,0.00011994468,0.0002943969,0.0019618676,0.008003434],"genre_scores_gemma":[0.9673312,0.00013751784,0.028870137,0.00006773699,0.000019716797,0.000051387742,0.00013573372,0.00001727498,0.0033694285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997285,0.0000666902,0.000024400064,0.00007217851,0.00007133257,0.00003673886],"domain_scores_gemma":[0.99884367,0.0005118359,0.00009514267,0.00008079059,0.00044913014,0.000019350211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001164322,0.0006910326,0.0003987052,0.00020484824,0.00022820165,0.0005585566,0.000651447,0.0008288298,0.0010674603],"category_scores_gemma":[0.003396375,0.00024958112,0.0002922634,0.00017420381,0.0002626637,0.00071213336,0.00042297336,0.00074546045,0.0003446483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027941496,0.00010995544,0.0020945743,0.00012118779,0.000057846693,0.00010750618,0.00008563329,0.8531223,0.0098807495,0.00090477715,0.0008111329,0.13242498],"study_design_scores_gemma":[0.0000052516098,0.0000645175,0.00090064073,0.000007978903,0.0000069421812,0.000014260755,0.00000858613,0.9956654,0.002911219,0.00024752165,0.0001604309,0.0000073055317],"about_ca_topic_score_codex":0.008348899,"about_ca_topic_score_gemma":0.007061876,"teacher_disagreement_score":0.008348899,"about_ca_system_score_codex":0.00041854088,"about_ca_system_score_gemma":0.00040234157,"threshold_uncertainty_score":0.016600609},"labels":[],"label_agreement":null},{"id":"W4385232256","doi":"10.1109/itec55900.2023.10187061","title":"Inverse Characterization of Open-Circuit Voltage for State-of-Charge Estimation of Batteries","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"State of charge; Inverse; Battery (electricity); Voltage; Inverse function; Equivalent circuit; Function (biology); Computer science; Characterization (materials science); Representation (politics); Inverse problem; Control theory (sociology); Algorithm; Electronic engineering; Topology (electrical circuits); Engineering; Mathematics; Electrical engineering; Power (physics); Materials science; Mathematical analysis; Physics; Artificial intelligence","score_opus":0.04109018292250255,"score_gpt":0.3010340589772345,"score_spread":0.25994387605473196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385232256","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09798007,0.0012980503,0.8863048,0.00020229175,0.00009055696,0.00011972137,0.0005893241,0.0021770035,0.011238222],"genre_scores_gemma":[0.9163905,0.0009338293,0.07912527,0.00007601679,0.0000423854,0.00011197672,0.00052021566,0.00015272421,0.0026471189],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956673,0.000055608158,0.000020299527,0.00006623626,0.00026462588,0.000026467596],"domain_scores_gemma":[0.99946755,0.00016725482,0.00004927037,0.000094181916,0.00021142022,0.000010324666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041408555,0.0005534099,0.00049107475,0.0011789629,0.00024298021,0.00092257303,0.0007517196,0.0007247056,0.002225046],"category_scores_gemma":[0.002523488,0.00017513431,0.00033514973,0.00089511054,0.0004155009,0.0015120072,0.00052376295,0.0007440804,0.0010876101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001883344,0.00014474172,0.0059806416,0.000607232,0.000031774623,0.00033325778,0.00065428106,0.09074353,0.5450526,0.016337013,0.0022534528,0.3376732],"study_design_scores_gemma":[0.000010957336,0.00021216477,0.0048594605,0.00006060528,0.00002329704,0.0007407567,0.0002176253,0.64353496,0.32349423,0.00878139,0.017984148,0.00008039238],"about_ca_topic_score_codex":0.00084745954,"about_ca_topic_score_gemma":0.0007671988,"teacher_disagreement_score":0.002225046,"about_ca_system_score_codex":0.00034285846,"about_ca_system_score_gemma":0.00031460557,"threshold_uncertainty_score":0.0074434876},"labels":[],"label_agreement":null},{"id":"W4385232257","doi":"10.1109/itec55900.2023.10187012","title":"Lithium-ion Battery State-of-Health Estimation via Histogram Data, Principal Component Analysis, and Machine Learning","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Principal component analysis; State of health; Estimator; State of charge; Histogram; Battery (electricity); Computer science; Artificial neural network; Mean squared error; Feedforward neural network; Artificial intelligence; Engineering; Power (physics); Statistics; Mathematics","score_opus":0.04184306170345437,"score_gpt":0.3127240246379825,"score_spread":0.2708809629345281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385232257","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14885496,0.0005900244,0.8433357,0.00018891053,0.0000967709,0.0000778984,0.0009183329,0.0036710256,0.0022664187],"genre_scores_gemma":[0.86636394,0.00038294288,0.12897453,0.000058817433,0.000055347587,0.00008791228,0.0017225652,0.00009774904,0.0022561657],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986136,0.00001869768,0.0000091897555,0.000042806027,0.000052049312,0.000015797741],"domain_scores_gemma":[0.99961287,0.00011093378,0.00004793999,0.000046240377,0.00016843491,0.000013747513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028849475,0.00049203105,0.00030625853,0.0008368121,0.00019866608,0.00037393265,0.0004464309,0.00029679548,0.0009388971],"category_scores_gemma":[0.0016654007,0.00012692752,0.00026979638,0.00071656867,0.00017729083,0.00066133717,0.0003583615,0.00041675163,0.00037544555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025630745,0.0001800724,0.01737111,0.00016452606,0.00008322529,0.00012840764,0.000077262564,0.18027143,0.018581403,0.001840698,0.005064245,0.77598125],"study_design_scores_gemma":[0.0000070380797,0.000044330973,0.011088965,0.000009818523,0.000012697863,0.000078715224,0.000028986447,0.9719089,0.013328871,0.0019577437,0.0015158561,0.000018106104],"about_ca_topic_score_codex":0.005874638,"about_ca_topic_score_gemma":0.0072092693,"teacher_disagreement_score":0.005874638,"about_ca_system_score_codex":0.00033955547,"about_ca_system_score_gemma":0.00040479604,"threshold_uncertainty_score":0.011680901},"labels":[],"label_agreement":null},{"id":"W4385232457","doi":"10.1109/itec55900.2023.10187019","title":"Online Determination of Lithium-ion Battery State of Health based on Normalized Change of State of Temperature for e-Mobility Applications","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); State of health; Fade; Internal resistance; Lithium-ion battery; Computer science; Voltage; State of charge; Operating temperature; Reliability engineering; Automotive engineering; Electrical engineering; Engineering; Power (physics)","score_opus":0.04151259952111549,"score_gpt":0.33972707516761425,"score_spread":0.2982144756464988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385232457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5406861,0.0019829436,0.4424591,0.0002609989,0.00024652234,0.00016642963,0.0011722351,0.0049571586,0.008068546],"genre_scores_gemma":[0.9719197,0.0003896631,0.025738904,0.000069985916,0.000032611093,0.00007296912,0.00025490666,0.00005048584,0.0014707716],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998286,0.000020262672,0.000012858482,0.000048583526,0.000077650104,0.000012059789],"domain_scores_gemma":[0.9996958,0.00006107451,0.000060989238,0.000034963603,0.00013489024,0.000012266792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018056626,0.00045830657,0.00048777688,0.0006333062,0.00018098218,0.00047833964,0.00047385902,0.0003264467,0.0009781907],"category_scores_gemma":[0.00077882933,0.00013101618,0.0001562287,0.0005376744,0.00016085198,0.00067490025,0.00030529973,0.0002676757,0.00052364165],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007347102,0.0002093333,0.04344073,0.00062647933,0.00007905925,0.00036467068,0.00042023204,0.019251533,0.39808115,0.00096366525,0.0045648618,0.5312635],"study_design_scores_gemma":[0.000045991303,0.0004935234,0.07675493,0.00006823306,0.00009922996,0.00090351934,0.00041570232,0.5243604,0.38862,0.0012938121,0.0067753065,0.00016939089],"about_ca_topic_score_codex":0.0009794659,"about_ca_topic_score_gemma":0.0024924597,"teacher_disagreement_score":0.0009794659,"about_ca_system_score_codex":0.00024236405,"about_ca_system_score_gemma":0.00021830137,"threshold_uncertainty_score":0.0032724142},"labels":[],"label_agreement":null},{"id":"W4385236363","doi":"10.1109/itec55900.2023.10186963","title":"An EV Integrated Bidirectional DC Fast Charger based on a Dual Wound Synchronous Machine","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Battery charger; Electrical engineering; Inverter; Voltage; Battery (electricity); Computer science; Capacitor; Electric vehicle; Torque; Rotor (electric); Automotive engineering; Engineering; Power (physics); Physics","score_opus":0.015808973229795825,"score_gpt":0.27415494921882283,"score_spread":0.258345975989027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385236363","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3072794,0.0017227622,0.6437951,0.00035773873,0.0008304517,0.00043422045,0.00062419847,0.008990267,0.03596585],"genre_scores_gemma":[0.9473425,0.00023679502,0.038372435,0.000108743196,0.00006165133,0.00006429876,0.0002178134,0.00011501913,0.013480715],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979144,0.00001983416,0.000011978032,0.000040815645,0.00011252925,0.0000234916],"domain_scores_gemma":[0.9998367,0.000020388969,0.00002936272,0.00003578625,0.000060612216,0.000017078111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015419435,0.0003745561,0.0004898543,0.0003651978,0.00021732818,0.000465206,0.00097607134,0.00032607806,0.003537138],"category_scores_gemma":[0.00018711643,0.00013009978,0.00019656612,0.00022276485,0.00017039948,0.0005892734,0.0003673727,0.00039213538,0.001348937],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009943328,0.00032556453,0.0020841633,0.0011828449,0.00009909215,0.0010614316,0.00020108547,0.010207527,0.5515562,0.009051798,0.013940962,0.40929487],"study_design_scores_gemma":[0.00035245018,0.0044118417,0.0074126986,0.00011223827,0.0001859515,0.0070057497,0.00015754641,0.21733731,0.61041355,0.0038273889,0.14864074,0.0001425378],"about_ca_topic_score_codex":0.00021505314,"about_ca_topic_score_gemma":0.00031577813,"teacher_disagreement_score":0.003537138,"about_ca_system_score_codex":0.00015699673,"about_ca_system_score_gemma":0.00018936626,"threshold_uncertainty_score":0.0118329525},"labels":[],"label_agreement":null},{"id":"W4385236387","doi":"10.1109/itec55900.2023.10187059","title":"Performance Comparison of Open-Circuit Voltage Modelling of Li-ion Batteries at Different C-Rates","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Battery (electricity); Open-circuit voltage; Voltage; Battery capacity; Process (computing); Characterization (materials science); Computer science; Reliability engineering; Electrical engineering; Automotive engineering; Engineering; Power (physics); Materials science; Thermodynamics; Physics","score_opus":0.10087561656701252,"score_gpt":0.3200794572594338,"score_spread":0.2192038406924213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385236387","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92512184,0.0025063246,0.052550793,0.00031449995,0.00015140591,0.00012409284,0.0021345997,0.0041704946,0.012925869],"genre_scores_gemma":[0.99552816,0.00043382923,0.0018157129,0.00002830633,0.000008783556,0.00005147167,0.00049655826,0.00008191817,0.0015552886],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993174,0.00007892173,0.000063231804,0.00014122014,0.00032711803,0.00007205793],"domain_scores_gemma":[0.9986644,0.0005229323,0.0000775443,0.00018601556,0.0005092014,0.000039964456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000839882,0.00094903127,0.0008161064,0.0011334508,0.0004470303,0.0014255884,0.0020488317,0.0014430295,0.0026633726],"category_scores_gemma":[0.0030455682,0.00030461795,0.000965123,0.00086593523,0.00042400177,0.001542131,0.00046627413,0.00073564856,0.0010159067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023748812,0.00026708102,0.0197669,0.001238811,0.00024302273,0.00051218946,0.0012028656,0.73471713,0.104918115,0.002414804,0.00379326,0.12855092],"study_design_scores_gemma":[0.000019105204,0.00060454913,0.0056566466,0.00008082416,0.00006276597,0.00017722005,0.00019963463,0.87520045,0.114180274,0.00085710356,0.0028600895,0.00010129464],"about_ca_topic_score_codex":0.010577199,"about_ca_topic_score_gemma":0.007003858,"teacher_disagreement_score":0.010577199,"about_ca_system_score_codex":0.0011597235,"about_ca_system_score_gemma":0.0006666321,"threshold_uncertainty_score":0.02103126},"labels":[],"label_agreement":null},{"id":"W4385236460","doi":"10.1109/itec55900.2023.10186914","title":"A Convolutional Neural Network for Estimation of Lithium-Ion Battery State-of-Health during Constant Current Operation","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Constant current; Convolutional neural network; Computer science; Artificial neural network; State of health; Constant (computer programming); Lithium-ion battery; Artificial intelligence; Current (fluid); Electrical engineering; Engineering; Physics; Power (physics)","score_opus":0.035963940438603716,"score_gpt":0.3211392519520629,"score_spread":0.28517531151345915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385236460","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24663162,0.0015712159,0.7409679,0.00037404682,0.00019635912,0.00006159557,0.0008072503,0.0036826432,0.0057073454],"genre_scores_gemma":[0.93010294,0.00042543124,0.061777495,0.00010565308,0.000029483306,0.00005158729,0.0009983233,0.000043674765,0.006465395],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990404,0.00000788689,0.000004851845,0.000035248122,0.00002715959,0.00002078303],"domain_scores_gemma":[0.99985564,0.000037846286,0.000018742634,0.000015861948,0.00006524525,0.000006695905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002737736,0.0005029433,0.00026426278,0.00028504332,0.00019498316,0.00030138198,0.0006853368,0.00045443804,0.0008818489],"category_scores_gemma":[0.0007477393,0.0002249425,0.0002869843,0.00030644314,0.000167588,0.00052556855,0.00032494072,0.00052431517,0.00033526513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033281365,0.00014615654,0.007790964,0.00009817726,0.00012934607,0.00017450057,0.00007274065,0.568483,0.040044904,0.0023111596,0.0050684884,0.37534782],"study_design_scores_gemma":[0.0000018927569,0.000012387229,0.00094370317,0.0000032504163,0.000009739431,0.000012333596,0.000002769022,0.9945797,0.003921413,0.0001949479,0.00031368816,0.0000041723197],"about_ca_topic_score_codex":0.030630285,"about_ca_topic_score_gemma":0.03150582,"teacher_disagreement_score":0.030630285,"about_ca_system_score_codex":0.00091686955,"about_ca_system_score_gemma":0.0006843611,"threshold_uncertainty_score":0.060904026},"labels":[],"label_agreement":null},{"id":"W4385253256","doi":"10.1109/itec55900.2023.10187111","title":"Lithium Iron Phosphate State of Charge Estimation, Cycle Life and Capacity Fading","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"State of charge; Lithium iron phosphate; Lithium (medication); Battery (electricity); Range (aeronautics); Fading; Charge (physics); Voltage; Estimation; Phosphate; Computer science; State (computer science); Reliability engineering; Electrical engineering; Materials science; Chemistry; Engineering; Algorithm; Thermodynamics; Physics; Power (physics); Composite material","score_opus":0.02071851209710257,"score_gpt":0.26108781565608374,"score_spread":0.24036930355898117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385253256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82728493,0.0021426347,0.16216497,0.0001803702,0.000060536182,0.00007706657,0.0005998881,0.0008837306,0.0066057867],"genre_scores_gemma":[0.9913713,0.00025726104,0.007038048,0.000011050154,0.000005106322,0.000013120293,0.00016409293,0.000020425308,0.00111961],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99964786,0.000039127615,0.000017899907,0.000052866355,0.00020525604,0.0000371078],"domain_scores_gemma":[0.9991677,0.00034269821,0.000114350456,0.00009360324,0.00026768347,0.000014052213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050825026,0.0003111719,0.0003100188,0.0009081146,0.0002061471,0.00047746915,0.00038358933,0.00034674697,0.0011310531],"category_scores_gemma":[0.0021403448,0.00011018041,0.0001713899,0.0006173286,0.00028448322,0.0008278653,0.00027009827,0.00027350333,0.00032902532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010310593,0.0001231211,0.045397647,0.0005675011,0.00008323675,0.00040887794,0.0005624338,0.05215494,0.45206994,0.0027065962,0.0010694718,0.44382524],"study_design_scores_gemma":[0.000009777314,0.000691394,0.05611267,0.00005251961,0.000056237943,0.00078895723,0.0002692273,0.14897431,0.7855728,0.0022108722,0.005159469,0.00010177356],"about_ca_topic_score_codex":0.0014829506,"about_ca_topic_score_gemma":0.0025269673,"teacher_disagreement_score":0.0014829506,"about_ca_system_score_codex":0.00028017678,"about_ca_system_score_gemma":0.0002308265,"threshold_uncertainty_score":0.0037837625},"labels":[],"label_agreement":null},{"id":"W4385257639","doi":"10.1109/itec55900.2023.10186953","title":"Electric Vehicle's Range and State of Charge Estimations using AutoML","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Range (aeronautics); Preprocessor; Computer science; State of charge; Estimation; Artificial intelligence; Machine learning; Artificial neural network; State (computer science); Deep learning; Data mining; Battery (electricity); Engineering; Systems engineering; Algorithm; Aerospace engineering","score_opus":0.028696390333385113,"score_gpt":0.2953571566945514,"score_spread":0.2666607663611663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385257639","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20839728,0.0005886281,0.70290226,0.0003082916,0.00008555155,0.00013701404,0.008096676,0.05566956,0.02381477],"genre_scores_gemma":[0.9002517,0.0002643792,0.089265056,0.00009596397,0.000023647966,0.00012314324,0.0049005635,0.00063464046,0.0044409847],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980634,0.000033279626,0.000010690034,0.000053348474,0.00007999432,0.000016383141],"domain_scores_gemma":[0.9995474,0.00014520736,0.00006336137,0.00008864116,0.00013880766,0.000016448981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003835213,0.00073767564,0.00036949082,0.0013571661,0.00019810052,0.00074018637,0.00079821673,0.00040400788,0.004231531],"category_scores_gemma":[0.0017070897,0.00033488337,0.0005196567,0.0008431825,0.00016272353,0.0010470508,0.000603479,0.00041614586,0.0022615595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018999584,0.00010570546,0.025661455,0.00022485237,0.00009814514,0.0001511192,0.00012147795,0.736082,0.0043933657,0.0031491788,0.008252233,0.22157034],"study_design_scores_gemma":[0.0000077041495,0.000027060067,0.0033934487,0.000017599155,0.0000114354,0.000052091644,0.00002767838,0.9873745,0.0035266555,0.001295281,0.0042462004,0.000020464537],"about_ca_topic_score_codex":0.012636117,"about_ca_topic_score_gemma":0.015844967,"teacher_disagreement_score":0.012636117,"about_ca_system_score_codex":0.00058816123,"about_ca_system_score_gemma":0.00054774963,"threshold_uncertainty_score":0.025125146},"labels":[],"label_agreement":null},{"id":"W4385257842","doi":"10.1109/itec55900.2023.10187072","title":"Investigating the Applicability of Electrochemical Impedance Spectroscopy for Parallel-Connected Lithium-ion Battery Modules","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Dielectric spectroscopy; Electrical impedance; Test fixture; Fixture; Battery (electricity); Materials science; Sorting; Battery pack; Electronic engineering; Computer science; Electrical engineering; Electrode; Engineering; Electrochemistry; Chemistry; Power (physics); Physics; Mechanical engineering; Algorithm","score_opus":0.021099252010484158,"score_gpt":0.2857517220906336,"score_spread":0.2646524700801494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385257842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9683535,0.0005789743,0.02951157,0.00009954457,0.00004970083,0.0000750914,0.00012175212,0.00018777176,0.0010220503],"genre_scores_gemma":[0.9898359,0.00040880384,0.009109677,0.0000356852,0.000014513423,0.000032484182,0.00006953864,0.000012838331,0.00048054522],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997148,0.000039421535,0.000022323205,0.000060512593,0.00012807926,0.000034824898],"domain_scores_gemma":[0.99948835,0.00014905061,0.00007489205,0.00006488665,0.00020134146,0.000021341668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050180097,0.0004541871,0.00030011978,0.0006172836,0.00016528925,0.00042046703,0.0008250488,0.0006527851,0.0008253783],"category_scores_gemma":[0.0015939098,0.00023216628,0.0002868043,0.0004927182,0.00021931468,0.0008636947,0.0005014402,0.00020268447,0.00027359853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020585477,0.00015186322,0.006517907,0.00019117871,0.000041192867,0.00021492464,0.00013057115,0.008924241,0.94314003,0.00021620705,0.00011394711,0.04015211],"study_design_scores_gemma":[0.000023022389,0.0014890579,0.014946558,0.00002152773,0.00006918217,0.0004611738,0.0002188215,0.067016475,0.9128522,0.00036234866,0.002508955,0.00003067924],"about_ca_topic_score_codex":0.00045858778,"about_ca_topic_score_gemma":0.00058725383,"teacher_disagreement_score":0.0008253783,"about_ca_system_score_codex":0.00024854532,"about_ca_system_score_gemma":0.00015478284,"threshold_uncertainty_score":0.0027611852},"labels":[],"label_agreement":null},{"id":"W4385258874","doi":"10.1109/itec55900.2023.10187103","title":"A Multiport Bidirectional Converter for Fuel Cell Range Extended Vehicles with On-board Solar Generation","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Range (aeronautics); Fuel cells; Automotive engineering; Computer science; Electrical engineering; Engineering; Aerospace engineering","score_opus":0.03131146693805124,"score_gpt":0.2645659115455178,"score_spread":0.23325444460746655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385258874","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16714406,0.0013388015,0.76029766,0.00025806675,0.0003000472,0.00023437513,0.00024056714,0.0021170464,0.06806939],"genre_scores_gemma":[0.93029535,0.0003916188,0.057869364,0.00006356016,0.000029391867,0.000058943526,0.00013961375,0.00004909338,0.011103033],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998903,0.000015822308,0.000006015043,0.000019479505,0.00005505244,0.000013330456],"domain_scores_gemma":[0.9999479,0.000005696679,0.000005387853,0.000011403334,0.000024155548,0.0000054561483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000116164214,0.00026714665,0.00019270611,0.00027341835,0.0002723662,0.00059448136,0.0006704655,0.00025391782,0.0033561192],"category_scores_gemma":[0.00012073378,0.00013853556,0.00023692852,0.00023605252,0.0001225787,0.00066303,0.00025394445,0.00046033002,0.0010382275],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049679,0.0003732506,0.0023084169,0.00077459717,0.00008298639,0.0009815592,0.0002878267,0.022703046,0.45186403,0.045801282,0.0075912736,0.46673492],"study_design_scores_gemma":[0.00015721271,0.0012081778,0.002833527,0.00018138852,0.00012748336,0.0053809984,0.0002332689,0.3540543,0.48296276,0.011020423,0.14174508,0.00009535241],"about_ca_topic_score_codex":0.00047811834,"about_ca_topic_score_gemma":0.0011394243,"teacher_disagreement_score":0.0033561192,"about_ca_system_score_codex":0.0002002115,"about_ca_system_score_gemma":0.00024868778,"threshold_uncertainty_score":0.011227369},"labels":[],"label_agreement":null},{"id":"W4385259661","doi":"10.1109/itec55900.2023.10186991","title":"State of Charge Estimation of Lithium-Ion Batteries: Comparison of GRU, LSTM, and Temporal Convolutional Deep Neural Networks","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Estimator; Convolutional neural network; State of charge; Computer science; Mean squared error; Battery (electricity); Artificial neural network; Recurrent neural network; Offset (computer science); Deep learning; Algorithm; Artificial intelligence; Mathematics; Statistics; Physics","score_opus":0.025300262590175492,"score_gpt":0.2947110989796212,"score_spread":0.26941083638944574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385259661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68573946,0.009946373,0.28010628,0.0010211159,0.00043795287,0.00010461921,0.0008016313,0.0061701713,0.015672445],"genre_scores_gemma":[0.9735595,0.0009217734,0.022474349,0.00010333818,0.000024720379,0.000030274181,0.0005267167,0.000045750327,0.002313659],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998412,0.000026482943,0.000011964516,0.00003978132,0.000050045925,0.00003048796],"domain_scores_gemma":[0.9996568,0.000121447156,0.000037424288,0.000026315083,0.00013793945,0.00001999191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063245354,0.00089919794,0.00039503575,0.0004266784,0.00016195003,0.0005708003,0.0009344073,0.0006382372,0.0008552453],"category_scores_gemma":[0.0018926753,0.00020530776,0.0002837137,0.00042684012,0.00018643844,0.0011761503,0.0003947169,0.0005619748,0.00024942268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006803965,0.00023355642,0.007645958,0.00029119977,0.00018837364,0.00014131896,0.00007476989,0.61684614,0.010038764,0.002017056,0.0031037708,0.3587387],"study_design_scores_gemma":[0.0000046349255,0.000046412577,0.0007353916,0.000009237177,0.0000144569085,0.000013025142,0.000010312878,0.99567455,0.002969704,0.00024496097,0.00027132995,0.00000592954],"about_ca_topic_score_codex":0.01983626,"about_ca_topic_score_gemma":0.02159334,"teacher_disagreement_score":0.01983626,"about_ca_system_score_codex":0.00084188784,"about_ca_system_score_gemma":0.00071728876,"threshold_uncertainty_score":0.039441586},"labels":[],"label_agreement":null},{"id":"W4385337732","doi":"10.1109/ims37964.2023.10188041","title":"Optimization of Decoupling Capacitors in VLSI Systems using Granularity Learning and Logistic Regression based PSO","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Science and Engineering Research Board","keywords":"Decoupling (probability); Granularity; Capacitor; Particle swarm optimization; Decoupling capacitor; Computer science; Very-large-scale integration; Electronic engineering; Control theory (sociology); Engineering; Control engineering; Artificial intelligence; Electrical engineering; Algorithm; Voltage","score_opus":0.04780272381947386,"score_gpt":0.3160574489044459,"score_spread":0.26825472508497206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385337732","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07401207,0.0006210435,0.9194146,0.00021180812,0.00004478753,0.00004683574,0.000038055405,0.0003832293,0.005227631],"genre_scores_gemma":[0.9080303,0.00024009711,0.08907193,0.000057242534,0.00002136131,0.00007515309,0.000047766298,0.000033498738,0.002422664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998566,0.000035365847,0.000008462286,0.00003054565,0.00004645668,0.000022530767],"domain_scores_gemma":[0.99979025,0.000114719776,0.000032675714,0.000011342667,0.000041572534,0.000009447834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031888453,0.0004991257,0.00052310264,0.0002154895,0.00018774407,0.00053119665,0.00045105963,0.00051804516,0.0011594578],"category_scores_gemma":[0.0009697371,0.00024396378,0.00033323746,0.00040665065,0.00024039176,0.0004060349,0.00035274652,0.000446625,0.00014152021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024648412,0.000018394097,0.0003652625,0.000047565005,0.000017571414,0.000036039386,0.0000143157495,0.9709798,0.0025895988,0.0009851442,0.00031743423,0.024604304],"study_design_scores_gemma":[0.0000045047573,0.000013861782,0.00007854021,0.0000015058055,0.000002366564,0.0000067687783,0.0000029446778,0.9993143,0.0002923736,0.0001758834,0.000105483094,0.0000014893641],"about_ca_topic_score_codex":0.0027556547,"about_ca_topic_score_gemma":0.0022369258,"teacher_disagreement_score":0.0027556547,"about_ca_system_score_codex":0.00034849794,"about_ca_system_score_gemma":0.00049699435,"threshold_uncertainty_score":0.0054792166},"labels":[],"label_agreement":null},{"id":"W4385350199","doi":"10.5772/intechopen.112383","title":"Investigations of Different Approaches for Controlling the Speed of an Electric Motor with Nonlinear Dynamics Powered by a Li-ion Battery – Case Study","year":2023,"lang":"en","type":"book-chapter","venue":"IntechOpen eBooks","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"John Abbott College; Concordia University","funders":"","keywords":"Control theory (sociology); Nonlinear system; Nonlinear autoregressive exogenous model; State of charge; Estimator; Feedback linearization; Control engineering; Engineering; Extended Kalman filter; Artificial neural network; Linearization; DC motor; Computer science; Battery (electricity); Kalman filter; Artificial intelligence; Mathematics; Electrical engineering; Control (management)","score_opus":0.047408015952159634,"score_gpt":0.26451898849479816,"score_spread":0.21711097254263853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385350199","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45451194,0.0052026515,0.45952013,0.00046888346,0.00009720435,0.0004051435,0.00014667666,0.0010343841,0.078612946],"genre_scores_gemma":[0.9520177,0.0014796522,0.034539275,0.000027562348,0.000013234198,0.0000868997,0.00006091384,0.000027374575,0.011747308],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984753,0.000031876923,0.000012062777,0.000035079473,0.00006040542,0.000013009184],"domain_scores_gemma":[0.9998211,0.00008259043,0.00001767322,0.000025938612,0.000045644665,0.000007055786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031828557,0.00036049262,0.00030460343,0.00033067123,0.00019584753,0.0006612981,0.0005686992,0.0006394485,0.0013127538],"category_scores_gemma":[0.0006182465,0.00012263095,0.00036482353,0.0002567287,0.0002285812,0.00045306777,0.00024998622,0.00030415304,0.00032128548],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046367987,0.00033325038,0.0031160335,0.0019951784,0.00009931248,0.0008583467,0.0008396998,0.54333353,0.093196,0.015652264,0.0019386994,0.338174],"study_design_scores_gemma":[0.000024303305,0.0006296471,0.0018925973,0.00006694813,0.000042742646,0.00025386142,0.00021919335,0.9446154,0.039239712,0.0016204398,0.011364305,0.00003094922],"about_ca_topic_score_codex":0.001927551,"about_ca_topic_score_gemma":0.001879014,"teacher_disagreement_score":0.001927551,"about_ca_system_score_codex":0.00036008848,"about_ca_system_score_gemma":0.00019455788,"threshold_uncertainty_score":0.0043916106},"labels":[],"label_agreement":null},{"id":"W4385364958","doi":"10.3390/su151511545","title":"Studying Abuse Testing on Lithium-Ion Battery Packaging for Energy Storage Systems","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Fundação Araucária; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Lithium (medication); Energy storage; Voltage; Battery (electricity); Process (computing); Computer science; Energy density; Reliability engineering; Implementation; Automotive engineering; Battery pack; Lithium-ion battery; Electrical engineering; Embedded system; Process engineering; Engineering; Power (physics); Engineering physics; Operating system","score_opus":0.03386744934008695,"score_gpt":0.2909116518802007,"score_spread":0.25704420254011373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385364958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99602854,0.0003271481,0.0028571791,0.00003835021,0.000029111237,0.00003755587,0.00010585895,0.000057608544,0.0005185818],"genre_scores_gemma":[0.9957371,0.00027464927,0.002956311,0.000038922877,0.000010378042,0.000037076235,0.00015495399,0.000021682654,0.000768929],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989209,0.00022806504,0.00011248596,0.00013014958,0.00048671302,0.000121661134],"domain_scores_gemma":[0.9979341,0.0006267359,0.00033481777,0.0003036428,0.000731243,0.000069472226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073742436,0.00064023526,0.00058980327,0.00057045894,0.0005097878,0.00048920896,0.00068656163,0.0005914476,0.0013062241],"category_scores_gemma":[0.003262569,0.0003058521,0.0004878836,0.0007982707,0.0004986478,0.0014795434,0.000605901,0.00040221078,0.0003763375],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001778129,0.00093007815,0.09469401,0.0013900183,0.00018059436,0.0028897636,0.0032406542,0.010960227,0.77133083,0.00069431745,0.0014274267,0.11048394],"study_design_scores_gemma":[0.000025630292,0.009352035,0.1014944,0.00014742928,0.00027309507,0.0028300309,0.002428168,0.034871638,0.84288293,0.00048161912,0.0051293913,0.000083613435],"about_ca_topic_score_codex":0.0003665153,"about_ca_topic_score_gemma":0.00066747377,"teacher_disagreement_score":0.0013062241,"about_ca_system_score_codex":0.00030732204,"about_ca_system_score_gemma":0.00013098233,"threshold_uncertainty_score":0.0043697953},"labels":[],"label_agreement":null},{"id":"W4385454580","doi":"10.32920/23811207","title":"Effect of electrode physical and chemical properties on lithium-ion battery performance","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Electrode; Thermal diffusivity; Lithium (medication); Materials science; Ion; Battery (electricity); Analytical Chemistry (journal); Lithium-ion battery; Chemistry; Thermodynamics; Power (physics); Chromatography; Organic chemistry; Physical chemistry","score_opus":0.018856575218685286,"score_gpt":0.2646004323987376,"score_spread":0.24574385718005232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385454580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929594,0.0022015343,0.0020230429,0.00010475544,0.00005138588,0.000013167971,0.0002695089,0.00010368856,0.0022735654],"genre_scores_gemma":[0.9964766,0.0009987018,0.001011076,0.000041770836,0.000008635622,0.000009687612,0.00022913088,0.000043930533,0.0011805586],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99972993,0.00003671933,0.000037744718,0.000058553007,0.000092572904,0.000044436118],"domain_scores_gemma":[0.99913555,0.0004037775,0.00013142683,0.00007009357,0.00021642105,0.000042841657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003990489,0.00041461503,0.00043689713,0.00026542458,0.00021574898,0.0011217608,0.00039571963,0.00051843765,0.0020441457],"category_scores_gemma":[0.0018107307,0.00030139866,0.00020586485,0.00038356593,0.00020436326,0.000999196,0.000293949,0.00030643147,0.00076095044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000622248,0.000061868,0.0014766788,0.00023554114,0.000029211415,0.00028167095,0.000038428818,0.00211809,0.9843748,0.00012035301,0.00017651364,0.010464503],"study_design_scores_gemma":[0.000009720971,0.00042595385,0.0024288842,0.0000111650215,0.000028309947,0.00026017558,0.00004198857,0.0029852886,0.9928924,0.00004236796,0.0008639665,0.000009815534],"about_ca_topic_score_codex":0.00028520342,"about_ca_topic_score_gemma":0.00047971864,"teacher_disagreement_score":0.0020441457,"about_ca_system_score_codex":0.00022044088,"about_ca_system_score_gemma":0.00013261712,"threshold_uncertainty_score":0.0068383217},"labels":[],"label_agreement":null},{"id":"W4385454583","doi":"10.32920/23811207.v1","title":"Effect of electrode physical and chemical properties on lithium-ion battery performance","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Electrode; Thermal diffusivity; Lithium (medication); Materials science; Ion; Battery (electricity); Analytical Chemistry (journal); Lithium-ion battery; Chemistry; Thermodynamics; Power (physics); Chromatography; Organic chemistry; Physical chemistry","score_opus":0.018856575218685286,"score_gpt":0.2646004323987376,"score_spread":0.24574385718005232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385454583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929594,0.0022015343,0.0020230429,0.00010475544,0.00005138588,0.000013167971,0.0002695089,0.00010368856,0.0022735654],"genre_scores_gemma":[0.9964766,0.0009987018,0.001011076,0.000041770836,0.000008635622,0.000009687612,0.00022913088,0.000043930533,0.0011805586],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99972993,0.00003671933,0.000037744718,0.000058553007,0.000092572904,0.000044436118],"domain_scores_gemma":[0.99913555,0.0004037775,0.00013142683,0.00007009357,0.00021642105,0.000042841657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003990489,0.00041461503,0.00043689713,0.00026542458,0.00021574898,0.0011217608,0.00039571963,0.00051843765,0.0020441457],"category_scores_gemma":[0.0018107307,0.00030139866,0.00020586485,0.00038356593,0.00020436326,0.000999196,0.000293949,0.00030643147,0.00076095044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000622248,0.000061868,0.0014766788,0.00023554114,0.000029211415,0.00028167095,0.000038428818,0.00211809,0.9843748,0.00012035301,0.00017651364,0.010464503],"study_design_scores_gemma":[0.000009720971,0.00042595385,0.0024288842,0.0000111650215,0.000028309947,0.00026017558,0.00004198857,0.0029852886,0.9928924,0.00004236796,0.0008639665,0.000009815534],"about_ca_topic_score_codex":0.00028520342,"about_ca_topic_score_gemma":0.00047971864,"teacher_disagreement_score":0.0020441457,"about_ca_system_score_codex":0.00022044088,"about_ca_system_score_gemma":0.00013261712,"threshold_uncertainty_score":0.0068383217},"labels":[],"label_agreement":null},{"id":"W4385477879","doi":"10.1109/icphm57936.2023.10194065","title":"Electrochemical Impedance Spectroscopy (EIS) and Machine Learning based Battery State of Health (SoH) Estimation","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Canada","funders":"","keywords":"State of health; Battery (electricity); Dielectric spectroscopy; Electrical impedance; Reliability (semiconductor); Voltage; Computer science; Electronic engineering; Electrical engineering; Reliability engineering; Materials science; Electrochemistry; Engineering; Chemistry; Power (physics); Physics; Electrode","score_opus":0.015461063753240405,"score_gpt":0.2878708057065124,"score_spread":0.272409741953272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385477879","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25275046,0.0015899611,0.7383811,0.0003790919,0.00016900484,0.00012329532,0.00050022354,0.0019025722,0.004204236],"genre_scores_gemma":[0.9240561,0.00072317146,0.07228238,0.00008986433,0.000043335534,0.00008828258,0.00035621625,0.000030744854,0.0023300245],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997185,0.000051648014,0.000028358432,0.00008449535,0.00009651172,0.000020503077],"domain_scores_gemma":[0.9994954,0.0002106163,0.00009296252,0.0000444596,0.00014319073,0.000013365969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005391031,0.0006801867,0.0006187709,0.00086808525,0.00013437119,0.00049908576,0.00045293267,0.0008198771,0.0008127402],"category_scores_gemma":[0.0019371832,0.00018865043,0.00041810144,0.00076447777,0.00018347082,0.00079188007,0.00031711825,0.0005007822,0.00041704156],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041487243,0.00039487166,0.020187574,0.0005112346,0.00019295403,0.00025353584,0.00013948561,0.41084144,0.09209883,0.0019664874,0.0013554549,0.47164324],"study_design_scores_gemma":[0.0000054527463,0.00011970445,0.004856432,0.000016910399,0.00001768605,0.00009188962,0.00002519851,0.9682054,0.025054825,0.000854155,0.00073402654,0.000018237757],"about_ca_topic_score_codex":0.0015193477,"about_ca_topic_score_gemma":0.0016130466,"teacher_disagreement_score":0.0015193477,"about_ca_system_score_codex":0.0002830299,"about_ca_system_score_gemma":0.00020063097,"threshold_uncertainty_score":0.0030209422},"labels":[],"label_agreement":null},{"id":"W4385486205","doi":"10.1109/access.2023.3301329","title":"Energy Recovery and Energy Harvesting in Electric and Fuel Cell Vehicles, a Review of Recent Advances","year":2023,"lang":"en","type":"review","venue":"IEEE Access","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Energy harvesting; Automotive engineering; Energy recovery; Energy storage; Computer science; Regenerative brake; Powertrain; Energy (signal processing); Energy consumption; Environmental science; Brake; Engineering; Power (physics); Electrical engineering; Torque","score_opus":0.06437676376258004,"score_gpt":0.34841895857843397,"score_spread":0.2840421948158539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385486205","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00025521265,0.9973441,0.0003168957,0.0001843746,0.0002527708,0.0000058685723,0.000025512445,0.000009257971,0.0016060801],"genre_scores_gemma":[0.0010895116,0.9973748,0.00028407192,0.00012954068,0.00019177212,0.0000065564336,0.000038492428,0.0000024339495,0.00088283315],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998018,0.000022256483,0.000029717832,0.000047996586,0.000078836514,0.000019453926],"domain_scores_gemma":[0.9995969,0.00021972481,0.000047131092,0.00001140394,0.000106499094,0.000018239389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004928643,0.0008281869,0.0009980401,0.0024763814,0.00030332687,0.0010539627,0.0006320441,0.0010289134,0.0043694023],"category_scores_gemma":[0.00069799414,0.00039637068,0.0005685448,0.003075143,0.00032165082,0.0017590333,0.00054229196,0.001137669,0.0020228953],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006006509,0.000105906445,0.00025064196,0.037180774,0.0000945053,0.00018801882,0.000109795044,0.0009945845,0.0036865617,0.007589812,0.025322879,0.9244165],"study_design_scores_gemma":[0.0000055052615,0.00011716394,0.00067245186,0.00357841,0.000108328546,0.00071371876,0.000101273625,0.00020223699,0.001055621,0.002097227,0.991323,0.000025052497],"about_ca_topic_score_codex":0.0010956905,"about_ca_topic_score_gemma":0.0014143917,"teacher_disagreement_score":0.0043694023,"about_ca_system_score_codex":0.00043439525,"about_ca_system_score_gemma":0.00096780993,"threshold_uncertainty_score":0.014617145},"labels":[],"label_agreement":null},{"id":"W4385582618","doi":"10.1016/j.ijft.2023.100433","title":"Thermohydraulic performance of ammonia, isopropanol, water and nanofluids as cooling fluid for lithium-ion 1C and 3C rating batteries","year":2023,"lang":"en","type":"article","venue":"International Journal of Thermofluids","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Nanofluid; Nusselt number; Materials science; Pressure drop; Mechanics; Thermodynamics; Laminar flow; Heat transfer; Reynolds number; Turbulence; Physics","score_opus":0.014288660546134526,"score_gpt":0.27017595835895175,"score_spread":0.2558872978128172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385582618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99886876,0.00027536045,0.0005717822,0.0000123054115,0.0000064157075,0.000004002247,0.000022479418,0.000010355478,0.00022848547],"genre_scores_gemma":[0.99892765,0.00013233424,0.00051286625,0.0000024882859,0.000001407913,0.0000047775707,0.000017653552,0.0000023854238,0.00039846989],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999151,0.0000123203,0.0000060008683,0.000010361147,0.000040967294,0.000015274147],"domain_scores_gemma":[0.9998708,0.000040682513,0.00002663527,0.000006496947,0.00004533825,0.000010172859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020532147,0.00012983853,0.0001469114,0.00019135339,0.00015477385,0.00021627167,0.0001933407,0.00018170149,0.00040257463],"category_scores_gemma":[0.00042283547,0.00007564196,0.00013088407,0.0001468397,0.00018173596,0.00033357984,0.00017552618,0.000106094274,0.000072222996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038188987,0.000060063925,0.0037205128,0.00016416282,0.0000087223425,0.000117940894,0.00011645594,0.0082689095,0.97543246,0.00027498312,0.00012988702,0.011324031],"study_design_scores_gemma":[0.000008721031,0.00082073646,0.003983045,0.000008980857,0.00000968893,0.000051505856,0.00009835649,0.026793417,0.96724576,0.000045166147,0.0009190444,0.000015636791],"about_ca_topic_score_codex":0.00092349784,"about_ca_topic_score_gemma":0.0016139846,"teacher_disagreement_score":0.00092349784,"about_ca_system_score_codex":0.00021243111,"about_ca_system_score_gemma":0.00016769256,"threshold_uncertainty_score":0.0018362999},"labels":[],"label_agreement":null},{"id":"W4385605293","doi":"10.1016/j.applthermaleng.2023.121286","title":"Thermal management of large-sized LiFePO4 pouch cell using simplified mini-channel cold plates","year":2023,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Department of Science and Technology, Ministry of Science and Technology, India; Indian National Science Academy","keywords":"Coolant; Materials science; Pouch; Volumetric flow rate; Inlet; Water cooling; Computer cooling; Modular design; Thermal; Thermal management of electronic devices and systems; Volume (thermodynamics); Nuclear engineering; Thermodynamics; Mechanics; Mechanical engineering; Engineering; Computer science; Physics","score_opus":0.016178441804859046,"score_gpt":0.23922589844789213,"score_spread":0.22304745664303308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385605293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97459614,0.0004958307,0.022154761,0.00006713476,0.000064976215,0.0000314581,0.00013347369,0.00015035387,0.0023059885],"genre_scores_gemma":[0.9933149,0.00013378626,0.004640282,0.000014938783,0.000011692722,0.000028894785,0.00007218721,0.0000154356,0.0017679165],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999944,0.000003899946,0.0000025011816,0.000013442523,0.000019393226,0.000016808135],"domain_scores_gemma":[0.9999492,0.0000088033485,0.000009226121,0.000009106458,0.000014269132,0.000009437988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000805166,0.0001934589,0.0002724137,0.00011386097,0.00028810525,0.0003619805,0.0006201471,0.00024245257,0.00096131914],"category_scores_gemma":[0.00008975582,0.00009424452,0.0002282186,0.00011485033,0.00015865997,0.00037743978,0.00027539828,0.00019174167,0.00022626451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003988866,0.000059639213,0.0013063519,0.00012775106,0.00001283997,0.00022544576,0.000049696355,0.012603054,0.9725605,0.0005804234,0.00038599377,0.011689215],"study_design_scores_gemma":[0.000043314758,0.0007608621,0.0056877565,0.000010480872,0.00004364474,0.00019091602,0.00015058304,0.094520144,0.8943816,0.00037424342,0.0037850547,0.000051452855],"about_ca_topic_score_codex":0.0004196785,"about_ca_topic_score_gemma":0.00091526797,"teacher_disagreement_score":0.00096131914,"about_ca_system_score_codex":0.00017638099,"about_ca_system_score_gemma":0.00029399584,"threshold_uncertainty_score":0.0032159686},"labels":[],"label_agreement":null},{"id":"W4385624854","doi":"10.1109/newcas57931.2023.10198193","title":"Low-Energy, Scalable, On-demand State-of-charge Estimation System for Li-ion batteries.","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Electromotive force; State of charge; Battery (electricity); Voltage; Scalability; Electrical engineering; Energy consumption; Constant current; Power (physics); Control theory (sociology); Energy (signal processing); Computer science; Constant (computer programming); Engineering; Physics","score_opus":0.016392848394723106,"score_gpt":0.2618458967711625,"score_spread":0.2454530483764394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385624854","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.075653896,0.0019352927,0.8954826,0.00083405554,0.00040644206,0.00035299975,0.00103849,0.012043353,0.012252804],"genre_scores_gemma":[0.9036406,0.0005085235,0.08799041,0.00039961102,0.00011727101,0.00023590963,0.0008374609,0.0001489094,0.0061212424],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997243,0.000034080855,0.000019628538,0.000069113354,0.00013021947,0.000022546357],"domain_scores_gemma":[0.9996803,0.000075287724,0.000060248272,0.00006355383,0.000099056575,0.000021522294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002929899,0.00075380737,0.00059112185,0.0005014218,0.00039878918,0.0008450783,0.0020747178,0.00073127996,0.0054859095],"category_scores_gemma":[0.00090820406,0.00026927498,0.00022339378,0.00042542323,0.0002243214,0.0014987369,0.0007010357,0.0006066432,0.0018291867],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091776875,0.0007984679,0.0061803376,0.0012130045,0.0002075114,0.0008921661,0.0005110482,0.031048393,0.342689,0.010172807,0.027223196,0.57814634],"study_design_scores_gemma":[0.0000850492,0.0004936168,0.0043745893,0.000093912044,0.00010711844,0.000799137,0.00013477306,0.79946876,0.164069,0.0052664387,0.025007084,0.00010053609],"about_ca_topic_score_codex":0.0012801284,"about_ca_topic_score_gemma":0.0032597787,"teacher_disagreement_score":0.0054859095,"about_ca_system_score_codex":0.00049224804,"about_ca_system_score_gemma":0.0004705904,"threshold_uncertainty_score":0.01835221},"labels":[],"label_agreement":null},{"id":"W4385688814","doi":"10.1109/icepe57949.2023.10201559","title":"Statistics-Based Algorithm to Reduce Grid Harmonics due to EV Chargers","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Harmonics; Computer science; Grid; Charging station; MATLAB; Electrical engineering; Total harmonic distortion; Poisson distribution; Harmonic analysis; Electric vehicle; Power (physics); Voltage; Telecommunications; Automotive engineering; Electronic engineering; Engineering; Statistics; Mathematics","score_opus":0.0275941147383342,"score_gpt":0.306685184366511,"score_spread":0.2790910696281768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385688814","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017515715,0.00009608846,0.9794292,0.0000569479,0.00005756712,0.000036608046,0.000017991852,0.0010217006,0.0017682661],"genre_scores_gemma":[0.6781843,0.00019651756,0.3151085,0.0001349331,0.0001024174,0.00015751495,0.00020347611,0.00019049771,0.0057218294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995378,0.000056195047,0.000034870973,0.000075989046,0.0002536021,0.000041589912],"domain_scores_gemma":[0.9992817,0.00025354026,0.000102434846,0.000045860786,0.0002939554,0.00002252692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047114588,0.000579867,0.0006214044,0.000737812,0.00036127598,0.00068459695,0.00066777505,0.0003334593,0.001333229],"category_scores_gemma":[0.0015643069,0.00023900454,0.00037741818,0.00054483424,0.00038464248,0.00057928724,0.00040667702,0.00043908763,0.0005188138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039567304,0.00012802976,0.0016491944,0.00008533316,0.000059522223,0.00009845089,0.00013518757,0.5420569,0.022701558,0.007115,0.0024519106,0.4231233],"study_design_scores_gemma":[0.000021739572,0.00008900788,0.00053461955,0.00000468191,0.000016318454,0.00005243448,0.00001529825,0.98857635,0.007816728,0.0013929058,0.0014708918,0.000008969687],"about_ca_topic_score_codex":0.003073705,"about_ca_topic_score_gemma":0.0030087307,"teacher_disagreement_score":0.003073705,"about_ca_system_score_codex":0.0005770741,"about_ca_system_score_gemma":0.0011106323,"threshold_uncertainty_score":0.006111622},"labels":[],"label_agreement":null},{"id":"W4385707781","doi":"10.3390/en16165887","title":"Robust Electro-Thermal Modeling of Lithium-Ion Batteries for Electrified Vehicles Applications","year":2023,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Thermal runaway; Battery (electricity); Voltage; State of charge; Automotive engineering; Thermal; Electric vehicle; Range (aeronautics); Lithium-ion battery; Waveform; Computer science; Electrical engineering; Simulation; Engineering; Power (physics); Aerospace engineering","score_opus":0.03253195962046676,"score_gpt":0.26295496042149147,"score_spread":0.2304230008010247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385707781","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0716964,0.0014671355,0.90892214,0.00028729817,0.0000899974,0.00008726391,0.00047168482,0.00083939655,0.016138693],"genre_scores_gemma":[0.97504574,0.00092017354,0.015651368,0.00005977462,0.000028850314,0.00016326823,0.00044239764,0.00010019142,0.0075883274],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998274,0.00003375506,0.0000116615665,0.000036355497,0.000073285286,0.000017519127],"domain_scores_gemma":[0.9998659,0.000044106106,0.000023474626,0.000015538939,0.00004653631,0.000004436498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029575994,0.0007951008,0.00062045717,0.00034158022,0.00023712717,0.00085120904,0.0009699987,0.0006809131,0.0014272219],"category_scores_gemma":[0.00066920754,0.00035002857,0.0008338574,0.00032335203,0.0003073206,0.0007571201,0.0005105963,0.0005102501,0.00056437956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000196092,0.000009960677,0.00030265716,0.000034913664,0.0000135876,0.000037668106,0.00001762718,0.9912847,0.0025687653,0.0008931261,0.00021991391,0.004597518],"study_design_scores_gemma":[0.0000011130784,0.0000072950115,0.00009975145,0.0000026121438,0.0000031361214,0.0000061118403,0.0000035407988,0.9988256,0.0004636943,0.00027937835,0.00030515302,0.0000025801337],"about_ca_topic_score_codex":0.0065727998,"about_ca_topic_score_gemma":0.0047826995,"teacher_disagreement_score":0.0065727998,"about_ca_system_score_codex":0.00049288396,"about_ca_system_score_gemma":0.00052243914,"threshold_uncertainty_score":0.013069093},"labels":[],"label_agreement":null},{"id":"W4385718746","doi":"10.1016/j.apenergy.2023.121660","title":"Long Short-Term Memory Network with Transfer Learning for Lithium-ion Battery Capacity Fade and Cycle Life Prediction","year":2023,"lang":"en","type":"article","venue":"Applied Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Compute Canada","keywords":"Battery (electricity); Fade; Computer science; Lithium-ion battery; Transfer of learning; Charge cycle; Battery capacity; Term (time); Transfer (computing); Key (lock); Reliability engineering; Artificial intelligence; Engineering; Automotive battery; Power (physics)","score_opus":0.01588671500182895,"score_gpt":0.21884702205877005,"score_spread":0.2029603070569411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385718746","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32631224,0.0057375096,0.6586707,0.0008089222,0.00046011593,0.00009463993,0.00056859717,0.002293704,0.005053626],"genre_scores_gemma":[0.9739803,0.00050987955,0.020344803,0.00015914648,0.000087065884,0.0000705712,0.00043971662,0.000026623833,0.0043818634],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998436,0.00002455438,0.000011404785,0.000053813063,0.000029547255,0.000036984435],"domain_scores_gemma":[0.9994261,0.00029454316,0.000048526468,0.00003396988,0.00017530756,0.000021632846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068408326,0.00068106176,0.0007396886,0.0005550282,0.00033376177,0.00049074343,0.0011671758,0.0009363297,0.0013465323],"category_scores_gemma":[0.0015135262,0.00025156283,0.00045883527,0.00054347666,0.00027527465,0.00095732126,0.00053920585,0.0010736601,0.000410552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037757962,0.00039826843,0.0036057755,0.00009724468,0.0001238066,0.00011203227,0.000046577057,0.6358479,0.0032549908,0.0013078828,0.0036002297,0.35122767],"study_design_scores_gemma":[0.00000255428,0.000015548374,0.00019822588,0.0000022449126,0.0000065441586,0.0000041979347,0.0000027034669,0.9989465,0.000344438,0.000412395,0.00006194973,0.0000027583078],"about_ca_topic_score_codex":0.015029028,"about_ca_topic_score_gemma":0.011674432,"teacher_disagreement_score":0.015029028,"about_ca_system_score_codex":0.0006951371,"about_ca_system_score_gemma":0.0006933602,"threshold_uncertainty_score":0.029883087},"labels":[],"label_agreement":null},{"id":"W4385794098","doi":"10.1016/j.enconman.2023.117524","title":"Q-learning based energy management strategy for a hybrid multi-stack fuel cell system considering degradation","year":2023,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université du Québec à Trois-Rivières","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Benchmark (surveying); Battery (electricity); Stack (abstract data type); Automotive engineering; Hybrid power; Power (physics); Computer science; Battery pack; Electric vehicle; Engineering; Simulation","score_opus":0.02459696864102913,"score_gpt":0.24084672341002655,"score_spread":0.21624975476899744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385794098","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29809594,0.00087409874,0.68550634,0.0008282646,0.00015905668,0.00022153286,0.00010854494,0.00048886816,0.01371741],"genre_scores_gemma":[0.9942766,0.000054970773,0.0041716993,0.000050798022,0.000011690778,0.00003158603,0.000016293461,0.000005559327,0.0013807011],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980265,0.000036868754,0.000011862111,0.000046643552,0.000047413432,0.000054457316],"domain_scores_gemma":[0.99965954,0.00011484565,0.000035444024,0.000010339973,0.00015448248,0.00002540134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062074285,0.0005724999,0.0010073094,0.00035025724,0.000890839,0.001119302,0.00093253294,0.0011647447,0.0026725025],"category_scores_gemma":[0.0006459329,0.0002152981,0.00035589703,0.00033848727,0.00043312937,0.00072282366,0.0007535898,0.00044312805,0.00020188655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002905798,0.00015421366,0.001042942,0.00010287119,0.00004853279,0.00025203335,0.00006844403,0.94830334,0.0068283365,0.002025487,0.0007636628,0.040119592],"study_design_scores_gemma":[0.000010342109,0.00006271906,0.0001817403,0.0000035475846,0.000008450334,0.00001574627,0.000011594227,0.9986395,0.00054233934,0.0004058813,0.00011475287,0.0000033512379],"about_ca_topic_score_codex":0.009383477,"about_ca_topic_score_gemma":0.0067855953,"teacher_disagreement_score":0.009383477,"about_ca_system_score_codex":0.0007512477,"about_ca_system_score_gemma":0.00084817864,"threshold_uncertainty_score":0.018657684},"labels":[],"label_agreement":null},{"id":"W4385813601","doi":"10.1016/j.matpr.2023.08.103","title":"Experimental investigation of longevity and temperature of a lithium-ion battery cell using phase change material based battery thermal management system","year":2023,"lang":"en","type":"article","venue":"Materials Today Proceedings","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Thermal runaway; Materials science; Phase-change material; Lithium-ion battery; Nuclear engineering; Lithium (medication); Thermal; Internal resistance; Energy storage; Lithium battery; Automotive battery; Ion; Electrical engineering; Automotive engineering; Chemistry; Thermodynamics; Engineering; Power (physics)","score_opus":0.03201900206843442,"score_gpt":0.26642550151927563,"score_spread":0.23440649945084122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385813601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99873847,0.00010519604,0.00062790513,0.000025707319,0.000014805614,0.0000072795315,0.00015853877,0.000025390742,0.0002967441],"genre_scores_gemma":[0.9990264,0.00007604447,0.00035194642,0.000007740263,0.0000045101215,0.000009800617,0.00009653877,0.000008113568,0.00041889702],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981755,0.00001820419,0.000014664632,0.000049435203,0.000062247425,0.000037993686],"domain_scores_gemma":[0.9995691,0.00014264166,0.000046815356,0.000059339356,0.00015635522,0.00002577305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025790778,0.00023885418,0.00030745627,0.00020282657,0.00044398764,0.00026282528,0.00047766507,0.0005163107,0.0023408884],"category_scores_gemma":[0.00053518335,0.00016003258,0.00022688237,0.00026984475,0.00035001006,0.00056390296,0.00018311481,0.00031975308,0.00024681436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005405575,0.00008563864,0.002236262,0.00011387171,0.000012350247,0.00015772763,0.00016096234,0.00046389812,0.99339736,0.00008789083,0.000107642874,0.0026358126],"study_design_scores_gemma":[0.000022363312,0.0012525376,0.008354839,0.0000095012265,0.00003470529,0.00017236252,0.0001844245,0.0034466044,0.9856418,0.00004710889,0.0008201152,0.0000137523275],"about_ca_topic_score_codex":0.0005489371,"about_ca_topic_score_gemma":0.00080781954,"teacher_disagreement_score":0.0023408884,"about_ca_system_score_codex":0.00020031042,"about_ca_system_score_gemma":0.00018092577,"threshold_uncertainty_score":0.007831037},"labels":[],"label_agreement":null},{"id":"W4385834100","doi":"10.1109/tie.2023.3301520","title":"Integrated Three-Port Converter for Solar-Charged Electric Vehicle Applications","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Converters; Electrical engineering; Voltage; Photovoltaic system; Engineering; Solar energy; Solar power; Buck converter; Battery (electricity); Power (physics); Computer science; Electronic engineering; Automotive engineering; Physics","score_opus":0.04006966935983109,"score_gpt":0.272549071521238,"score_spread":0.2324794021614069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385834100","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22812776,0.0012932356,0.6899603,0.00036040242,0.00069605926,0.00037620266,0.0005812366,0.007383656,0.07122106],"genre_scores_gemma":[0.9424376,0.00037619527,0.037894774,0.00014922372,0.000040597017,0.00011045858,0.00028046346,0.00015195199,0.0185588],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982554,0.000016994281,0.000011068044,0.000033797132,0.00009309891,0.00001950849],"domain_scores_gemma":[0.99988925,0.000011680799,0.000008277178,0.000024573354,0.000057504556,0.000008825197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001330748,0.000404798,0.00037301035,0.00030945125,0.00024836836,0.0008604603,0.0009593044,0.000372957,0.0077312603],"category_scores_gemma":[0.00016641887,0.00017283026,0.00037769048,0.00030482624,0.00013781118,0.00075761596,0.00031816695,0.0006953626,0.0026478323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054031314,0.0005479237,0.002410454,0.00054724346,0.00011271069,0.0007053554,0.00018358229,0.0071488554,0.7129745,0.011279817,0.009516838,0.25403255],"study_design_scores_gemma":[0.00012370222,0.0008414824,0.0035524494,0.00010081252,0.00010696718,0.0022445254,0.000120739904,0.123686664,0.776124,0.0047481977,0.088270195,0.000080281374],"about_ca_topic_score_codex":0.00032076734,"about_ca_topic_score_gemma":0.00062568317,"teacher_disagreement_score":0.0077312603,"about_ca_system_score_codex":0.00023535787,"about_ca_system_score_gemma":0.00023314229,"threshold_uncertainty_score":0.025863647},"labels":[],"label_agreement":null},{"id":"W4386003095","doi":"10.1016/j.matpr.2023.08.055","title":"Numerical investigation of performance for liquid-cooled cylindrical electrical vehicle battery pack using Al2O3/EG-water nano coolant","year":2023,"lang":"en","type":"article","venue":"Materials Today Proceedings","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery pack; Coolant; Battery (electricity); Materials science; Nuclear engineering; Water cooling; Electric-vehicle battery; Composite material; Automotive engineering; Mechanical engineering; Engineering; Thermodynamics","score_opus":0.02770923580736876,"score_gpt":0.2600576837738189,"score_spread":0.23234844796645013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386003095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97798413,0.00020448782,0.007968986,0.00016983447,0.000045344703,0.000020650587,0.00023581542,0.0001272159,0.013243561],"genre_scores_gemma":[0.9964797,0.0000546456,0.0015750794,0.00001286973,0.0000032564394,0.00001191565,0.00006509868,0.000013217213,0.0017843801],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994683,0.0000063677176,0.000002140323,0.000007809847,0.000020713775,0.000016139844],"domain_scores_gemma":[0.99982953,0.00007661718,0.000020281252,0.000010319043,0.000051587784,0.000011632345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011330134,0.0001908392,0.00034465632,0.00020604787,0.000448002,0.00037724536,0.00042402538,0.00052963063,0.0028055657],"category_scores_gemma":[0.0004276504,0.00017508122,0.00031950136,0.00027934168,0.0004196025,0.00035354003,0.00021062062,0.00024191847,0.00019410337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002900274,0.00008815919,0.0035951973,0.00022774238,0.000024012686,0.00034911124,0.00010199092,0.93640804,0.050371412,0.0017955418,0.0008696579,0.0058791074],"study_design_scores_gemma":[0.000021322778,0.00010629998,0.0013819019,0.00000820122,0.000009764654,0.000027097047,0.00008407328,0.98827225,0.009494124,0.00016196234,0.00042435448,0.000008624708],"about_ca_topic_score_codex":0.006899871,"about_ca_topic_score_gemma":0.005916235,"teacher_disagreement_score":0.006899871,"about_ca_system_score_codex":0.00036500496,"about_ca_system_score_gemma":0.0004450786,"threshold_uncertainty_score":0.01371938},"labels":[],"label_agreement":null},{"id":"W4386072859","doi":"10.11159/htff23.156","title":"Experimental investigation of heat pipes and liquid cooling based hybrid Battery Thermal Management System","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Surrey; University of Leeds","keywords":"Computer cooling; Thermal management of electronic devices and systems; Battery (electricity); Materials science; Thermal; Heat pipe; Water cooling; Nuclear engineering; Environmental science; Mechanical engineering; Heat transfer; Engineering; Thermodynamics; Physics; Power (physics)","score_opus":0.009142797394087111,"score_gpt":0.21121451302647082,"score_spread":0.2020717156323837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386072859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937643,0.00008375654,0.004569493,0.000030388841,0.000032859927,0.00006273374,0.00014800434,0.000121911886,0.0011865991],"genre_scores_gemma":[0.9963456,0.000058798338,0.002074362,0.000011183058,0.000005656293,0.0000722752,0.00005031841,0.000011655785,0.0013701828],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997009,0.000039598228,0.000020126437,0.000075003336,0.00011159201,0.000052843905],"domain_scores_gemma":[0.99974805,0.000049698836,0.000031042775,0.000034461675,0.00011447101,0.00002243557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002867521,0.00029281285,0.00036937936,0.00021962958,0.00034168034,0.00029331297,0.00047448624,0.00034956154,0.0026777682],"category_scores_gemma":[0.0004412552,0.00018132593,0.00022399439,0.00021188881,0.0002714055,0.00056570204,0.00030578824,0.00022589894,0.00033521777],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008437137,0.00040458632,0.0038217886,0.0006259162,0.000032842167,0.00031068333,0.00038287294,0.009498739,0.9636664,0.0004110458,0.00063713646,0.019364363],"study_design_scores_gemma":[0.000091162154,0.0053164456,0.012770895,0.000029157998,0.000056058816,0.00015764993,0.00037397287,0.045319855,0.9317107,0.00014564184,0.003995884,0.000032463977],"about_ca_topic_score_codex":0.00057625736,"about_ca_topic_score_gemma":0.0007140865,"teacher_disagreement_score":0.0026777682,"about_ca_system_score_codex":0.0002179738,"about_ca_system_score_gemma":0.00024331704,"threshold_uncertainty_score":0.008958042},"labels":[],"label_agreement":null},{"id":"W4386072861","doi":"10.11159/icmie23.116","title":"Analysis and Design of an Optimum Powertrain for an Electric Battery Vehicle for AUM Campus Shuttle Service","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Powertrain; Automotive engineering; Battery (electricity); Battery electric vehicle; Service (business); Electric vehicle; Computer science; Engineering; Power (physics); Business; Torque; Physics","score_opus":0.015042295928675297,"score_gpt":0.2496090636849344,"score_spread":0.23456676775625912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386072861","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17567861,0.0009469397,0.7855556,0.00034789418,0.00007869606,0.00039596594,0.00022789274,0.00047862402,0.036289778],"genre_scores_gemma":[0.96569675,0.0003277979,0.027802635,0.000027731783,0.00001238155,0.00022681527,0.00013714521,0.000037810078,0.005730901],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998273,0.000031657913,0.000007166656,0.000031420863,0.00007378213,0.000028679367],"domain_scores_gemma":[0.9998919,0.000030008938,0.000019796938,0.000005287883,0.000045937963,0.000007185782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003274232,0.0005761654,0.0005683386,0.00044513674,0.00036526288,0.0009910908,0.00054132316,0.0006063449,0.0030419827],"category_scores_gemma":[0.00044250733,0.00036794506,0.0006349422,0.0002852918,0.00023067337,0.00040478085,0.00031904085,0.00030608225,0.0004183512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008621513,0.000056824087,0.0011391354,0.00026526363,0.00004656807,0.00015789874,0.00006616316,0.95478624,0.014600392,0.0021655462,0.0007936922,0.025836],"study_design_scores_gemma":[0.000014133897,0.00022260641,0.00077976973,0.000014197608,0.000030925665,0.00003578252,0.0000607267,0.9937317,0.0025669103,0.0005189012,0.002015458,0.0000087270455],"about_ca_topic_score_codex":0.004787552,"about_ca_topic_score_gemma":0.0053616175,"teacher_disagreement_score":0.004787552,"about_ca_system_score_codex":0.0005793281,"about_ca_system_score_gemma":0.00097322004,"threshold_uncertainty_score":0.01017642},"labels":[],"label_agreement":null},{"id":"W4386101933","doi":"10.1016/j.jclepro.2023.138532","title":"Optimal sizing of supercapacitors for cost-effective hybridization of battery-alone energy storage systems","year":2023,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Sizing; Battery (electricity); Upgrade; Supercapacitor; Energy storage; Reliability engineering; Cost reduction; Service (business); Reduction (mathematics); Engineering; Computer science; Automotive engineering; Business","score_opus":0.020446600094612494,"score_gpt":0.26818369180266255,"score_spread":0.24773709170805006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386101933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6623861,0.0017584899,0.29900146,0.00063424284,0.00029886627,0.0002268829,0.0004481464,0.0012713876,0.03397439],"genre_scores_gemma":[0.9812821,0.00009621223,0.017126221,0.000025141295,0.000011330524,0.000047069894,0.0000537409,0.000035596455,0.0013225651],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984837,0.000026536858,0.000010901719,0.000038238886,0.000046276597,0.000029687151],"domain_scores_gemma":[0.9998128,0.000077023375,0.000025108344,0.000021913465,0.000046785655,0.000016346634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020433539,0.000690151,0.0007174156,0.00039234667,0.00038983437,0.001072057,0.00091578305,0.0004977251,0.0033682545],"category_scores_gemma":[0.00060528255,0.00048652547,0.0002793318,0.0004238403,0.00030171315,0.0008168167,0.00042943316,0.0004298878,0.00044993605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005666498,0.0003575334,0.0010553343,0.00035372085,0.00008342766,0.00020225659,0.00010328316,0.6688328,0.2217198,0.0068262257,0.002244222,0.09765473],"study_design_scores_gemma":[0.0000390168,0.00024186414,0.00046535043,0.00001372469,0.000041622225,0.000044817534,0.000085021966,0.9422769,0.052278623,0.002874282,0.0016235767,0.000015220865],"about_ca_topic_score_codex":0.0012564367,"about_ca_topic_score_gemma":0.004426028,"teacher_disagreement_score":0.0033682545,"about_ca_system_score_codex":0.0007304397,"about_ca_system_score_gemma":0.0007517264,"threshold_uncertainty_score":0.01126796},"labels":[],"label_agreement":null},{"id":"W4386113334","doi":"10.1109/tpel.2023.3306979","title":"Energy Conservation Versus Charge Conservation Law for Modeling and Analyzing Cell Equalizers","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Battery (electricity); Equalization (audio); Energy conservation; Capacitance; Reliability (semiconductor); Conservation law; Conservation of energy; Charge conservation; Engineering; Renewable energy; Power (physics); Electrical engineering; Process (computing); Computer science; Charge (physics); Physics","score_opus":0.029933348125481398,"score_gpt":0.27790290172580356,"score_spread":0.24796955360032216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386113334","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012405295,0.001361649,0.97029996,0.00022253253,0.00014910664,0.00006132351,0.00008668777,0.00019781225,0.0152156865],"genre_scores_gemma":[0.903328,0.0040285997,0.07498218,0.0002969956,0.0002212804,0.00029017578,0.00018652916,0.00015741446,0.01650891],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997944,0.000048367594,0.000009347407,0.000038213962,0.00009168671,0.000018067256],"domain_scores_gemma":[0.9997943,0.00009713857,0.000025448024,0.00002819441,0.000050134437,0.000004672783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032746687,0.0005981674,0.00036640436,0.00049118197,0.00027669605,0.00068004476,0.0007759798,0.0006141727,0.0017173543],"category_scores_gemma":[0.0011388725,0.00019626833,0.0005648446,0.0005204761,0.0007047763,0.0013649656,0.0004881914,0.0007635724,0.0004494898],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049049122,0.0000479119,0.00088769593,0.0001793583,0.000023235638,0.00022600524,0.00022826274,0.76178896,0.017100476,0.179777,0.0021931808,0.037498884],"study_design_scores_gemma":[0.0000026032176,0.000015321773,0.000077105455,0.0000068794757,0.0000045734196,0.000033267937,0.000010582449,0.990717,0.0011354698,0.006316404,0.0016761187,0.0000046255777],"about_ca_topic_score_codex":0.0030142113,"about_ca_topic_score_gemma":0.0014190638,"teacher_disagreement_score":0.0030142113,"about_ca_system_score_codex":0.0006497332,"about_ca_system_score_gemma":0.00034310317,"threshold_uncertainty_score":0.0059933066},"labels":[],"label_agreement":null},{"id":"W4386121614","doi":"10.3390/batteries9090434","title":"Multiscale Modelling Methodologies of Lithium-Ion Battery Aging: A Review of Most Recent Developments","year":2023,"lang":"en","type":"review","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Battery (electricity); Multiphysics; Computer science; Electrification; Lithium-ion battery; Reliability engineering; Risk analysis (engineering); Power (physics); Systems engineering; Electricity; Engineering; Electrical engineering; Business","score_opus":0.24196059556591945,"score_gpt":0.40685459577698907,"score_spread":0.16489400021106962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386121614","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009549134,0.980893,0.014091053,0.00031961413,0.00034397573,0.000021376349,0.0000798384,0.00007948589,0.0032167546],"genre_scores_gemma":[0.0056619523,0.9862039,0.006266463,0.00011747926,0.00029558965,0.00003319721,0.00011624021,0.000025100308,0.0012800804],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99975413,0.00003696526,0.000037728216,0.00005009467,0.00010701579,0.000013993669],"domain_scores_gemma":[0.999488,0.000258941,0.000054043987,0.000024125404,0.00015830723,0.000016439235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000752594,0.0012054588,0.0012808786,0.002248243,0.00027109878,0.0011563221,0.0011666418,0.0010011957,0.0028659538],"category_scores_gemma":[0.0011499199,0.0005391635,0.0011737333,0.0025557568,0.0004031067,0.001585205,0.00069576805,0.0009943433,0.0014361953],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044611472,0.00009248799,0.000587605,0.02692474,0.00020120118,0.00019235937,0.00019128152,0.01525678,0.0057208836,0.027038125,0.01633986,0.9074101],"study_design_scores_gemma":[0.000015688962,0.00022728022,0.0013555812,0.0063809007,0.00045503865,0.001051347,0.0001713575,0.017307272,0.0053119487,0.016429173,0.95117235,0.00012209122],"about_ca_topic_score_codex":0.0018534192,"about_ca_topic_score_gemma":0.0016705714,"teacher_disagreement_score":0.0028659538,"about_ca_system_score_codex":0.00046000982,"about_ca_system_score_gemma":0.0009293376,"threshold_uncertainty_score":0.009587526},"labels":[],"label_agreement":null},{"id":"W4386168106","doi":"10.1021/acs.jpcc.3c02915","title":"Learning Optimal Forms of Constitutive Relations Characterizing Ion Intercalation from Data in Mathematical Models of Lithium-Ion Batteries","year":2023,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Faraday Institution","keywords":"Electrolyte; Lithium (medication); Inverse problem; Overpotential; Inverse; Battery (electricity); Biological system; Applied mathematics; Exchange current density; Statistical physics; Computer science; Chemistry; Electrode; Mathematics; Thermodynamics; Physics; Mathematical analysis; Electrochemistry; Power (physics); Physical chemistry","score_opus":0.03651612866160246,"score_gpt":0.2929386165320262,"score_spread":0.2564224878704237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386168106","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033767927,0.00036158817,0.96474075,0.00026904236,0.000012869072,0.000035401852,0.000085121814,0.00018355828,0.00054377445],"genre_scores_gemma":[0.72574276,0.0011222211,0.26981583,0.00019033441,0.000056627345,0.00030274075,0.00055387814,0.00017493941,0.0020406267],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940777,0.0002697181,0.000046380686,0.00012164233,0.00011401723,0.00004047923],"domain_scores_gemma":[0.99488753,0.0041946503,0.00037524928,0.00020572731,0.00027934255,0.00005754755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031976344,0.0009787607,0.0012330972,0.00067048403,0.0003272057,0.0015932826,0.0012515945,0.0020003964,0.0008560243],"category_scores_gemma":[0.014589047,0.0008830657,0.000734945,0.000566685,0.0014257391,0.0021144655,0.001353169,0.0018608901,0.0002632785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032570966,0.00004075788,0.00046916437,0.00015461001,0.000025017434,0.00003314224,0.00010161624,0.9671947,0.002203409,0.014444936,0.00027920693,0.015020886],"study_design_scores_gemma":[0.000001768856,0.000006493864,0.000038251863,0.0000074943346,0.0000022064085,0.0000055054293,0.0000044705284,0.995145,0.0003786075,0.0042915666,0.00011378803,0.0000048326137],"about_ca_topic_score_codex":0.0025879203,"about_ca_topic_score_gemma":0.0025447116,"teacher_disagreement_score":0.0031976344,"about_ca_system_score_codex":0.00089426915,"about_ca_system_score_gemma":0.0014055951,"threshold_uncertainty_score":0.01691091},"labels":[],"label_agreement":null},{"id":"W4386185783","doi":"10.11159/jffhmt.2023.009","title":"Comparison between Different PCM Mediums and Dielectric Fluid for Hybrid Thermal Management of Electric Battery Packs","year":2023,"lang":"en","type":"article","venue":"Journal of Fluid Flow Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Materials science; Battery (electricity); Dielectric; Thermal; Thermal management of electronic devices and systems; Engineering physics; Electrical engineering; Composite material; Environmental science; Optoelectronics; Mechanical engineering; Engineering; Physics; Thermodynamics; Power (physics)","score_opus":0.02188077048218917,"score_gpt":0.27253843569627806,"score_spread":0.2506576652140889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386185783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9568835,0.005562454,0.03142697,0.00010219558,0.00020910421,0.000088893605,0.00013857237,0.00020684711,0.0053815446],"genre_scores_gemma":[0.98923755,0.0013605251,0.008093533,0.000020102138,0.000017780452,0.000046316185,0.00008410429,0.000028577439,0.001111501],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975795,0.00004807423,0.000018963754,0.000029909954,0.00011576398,0.000029399243],"domain_scores_gemma":[0.9996612,0.00013015328,0.000039698065,0.000028256789,0.00011122051,0.000029520827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044056954,0.00031971373,0.000320345,0.00075447536,0.00024988878,0.0006757685,0.0004240462,0.00021793993,0.000888614],"category_scores_gemma":[0.001116523,0.00011767051,0.00028071637,0.0005008047,0.00026358262,0.0011156327,0.0004310396,0.00020969006,0.00018375723],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002005299,0.00040995143,0.0054211095,0.0019768302,0.00009897276,0.00037370922,0.00031974068,0.03466548,0.77725536,0.0038375708,0.0009331462,0.17270288],"study_design_scores_gemma":[0.000087612665,0.0029146124,0.0052978653,0.00010525277,0.00016391677,0.0003416306,0.0004377923,0.08076085,0.89590335,0.00057101983,0.0133453235,0.00007076],"about_ca_topic_score_codex":0.00038291997,"about_ca_topic_score_gemma":0.0007529936,"teacher_disagreement_score":0.000888614,"about_ca_system_score_codex":0.0002822802,"about_ca_system_score_gemma":0.00023207419,"threshold_uncertainty_score":0.002972722},"labels":[],"label_agreement":null},{"id":"W4386201654","doi":"10.4271/2023-24-0170","title":"LCA and LCC of a Li-ion Battery Pack for Automotive Application","year":2023,"lang":"en","type":"article","venue":"SAE International Journal of Advances and Current Practices in Mobility","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Life-cycle assessment; Battery pack; Battery (electricity); Electric vehicle; Carbon footprint; Economic shortage; Automotive industry; Engineering; Automotive engineering; Environmental science; Production (economics); Greenhouse gas; Economics","score_opus":0.03383229868283977,"score_gpt":0.39882837833338947,"score_spread":0.3649960796505497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386201654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83748287,0.004405965,0.07303573,0.00048062118,0.00016228447,0.0007436854,0.011944398,0.0012740692,0.07047031],"genre_scores_gemma":[0.97307986,0.0011417827,0.009243436,0.00010396986,0.000019772007,0.0004047199,0.0036697893,0.00013757267,0.012199184],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992478,0.00012300946,0.00004384607,0.000093219554,0.00043160928,0.0000605526],"domain_scores_gemma":[0.999193,0.0002691083,0.00006441032,0.000043374133,0.00041753153,0.000012559252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089178164,0.0008827771,0.0004975508,0.0020170568,0.00055963517,0.0013704691,0.00058722915,0.00087696884,0.006879287],"category_scores_gemma":[0.0013786921,0.00028653402,0.0013794486,0.0012285472,0.00031742646,0.0009629545,0.00041071835,0.00037263412,0.0016899591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011508111,0.00020598737,0.01827102,0.0009118523,0.00018322415,0.00049940497,0.00012064694,0.8047949,0.07054577,0.0033657667,0.006239137,0.09371143],"study_design_scores_gemma":[0.000052601594,0.001481711,0.053475507,0.00016465072,0.00039978378,0.00038596458,0.00046522528,0.790575,0.1270423,0.0033912114,0.022418765,0.00014725047],"about_ca_topic_score_codex":0.0112305945,"about_ca_topic_score_gemma":0.012263487,"teacher_disagreement_score":0.0112305945,"about_ca_system_score_codex":0.002842792,"about_ca_system_score_gemma":0.0009637443,"threshold_uncertainty_score":0.023013532},"labels":[],"label_agreement":null},{"id":"W4386222423","doi":"10.1142/s0129183124500475","title":"Computational analysis of preheating cylindrical lithium-ion batteries with fin-assisted phase change material","year":2023,"lang":"en","type":"article","venue":"International Journal of Modern Physics C","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Automotive engineering; Environmental science; Combustion; Phase-change material; Materials science; Fossil fuel; Thermal; Process engineering; Nuclear engineering; Computer science; Power (physics); Waste management; Engineering; Thermodynamics","score_opus":0.04645236069671448,"score_gpt":0.332649994095568,"score_spread":0.2861976333988535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386222423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93661636,0.000837172,0.022917455,0.0008199092,0.00011720035,0.00011398286,0.0011944914,0.00019114168,0.037192203],"genre_scores_gemma":[0.98966205,0.0002175941,0.0049164575,0.000078364734,0.000016025657,0.00010059458,0.00041193518,0.00003689698,0.0045599854],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988544,0.00002194572,0.000005667756,0.000015550362,0.000033260494,0.00003802248],"domain_scores_gemma":[0.99957496,0.0002904212,0.00003226268,0.00002055144,0.000056079403,0.000025614809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026545647,0.0004662132,0.0007830686,0.00035248362,0.0007883076,0.0009715974,0.00088510796,0.0012719241,0.00369386],"category_scores_gemma":[0.0009639017,0.00032147547,0.0008903587,0.00044259086,0.00078586396,0.0005123585,0.0005237805,0.00063495035,0.0002657743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084715524,0.000049180377,0.0014727741,0.000097101176,0.00001620325,0.00016947347,0.00003755889,0.9930108,0.0016209866,0.0013133504,0.00037905943,0.001748744],"study_design_scores_gemma":[0.000014125001,0.000045394914,0.00055942,0.00000859403,0.000006129728,0.000022682236,0.00004634781,0.9980386,0.0005455139,0.00032573284,0.00038169508,0.0000057695274],"about_ca_topic_score_codex":0.016665172,"about_ca_topic_score_gemma":0.011225984,"teacher_disagreement_score":0.016665172,"about_ca_system_score_codex":0.0008016469,"about_ca_system_score_gemma":0.0011582171,"threshold_uncertainty_score":0.03313631},"labels":[],"label_agreement":null},{"id":"W4386233146","doi":"10.11159/jffhmt.2023.010","title":"Comparison of Hybrid Cooling Concepts with PCM Cooling for Electric Battery Packs","year":2023,"lang":"en","type":"article","venue":"Journal of Fluid Flow Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); Water cooling; Active cooling; Nuclear engineering; Environmental science; Materials science; Automotive engineering; Mechanical engineering; Engineering; Thermodynamics; Physics; Power (physics)","score_opus":0.023924602911280474,"score_gpt":0.3007242200559098,"score_spread":0.27679961714462936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386233146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80720556,0.004084516,0.16009289,0.00017893952,0.00029976878,0.00020416465,0.00018058803,0.0006090634,0.027144551],"genre_scores_gemma":[0.97503656,0.00072448084,0.020460894,0.000028900078,0.000029744104,0.00007679344,0.00009288543,0.000054733817,0.0034950261],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981993,0.000030270548,0.000009282175,0.000025882513,0.00008764788,0.000027023247],"domain_scores_gemma":[0.9998802,0.00003142046,0.000011277092,0.000017099535,0.000049814833,0.000010129478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028236903,0.00029582903,0.00037804764,0.0003626397,0.00024277941,0.0004777575,0.00057465,0.00023063377,0.0021655755],"category_scores_gemma":[0.00037930356,0.00016018434,0.00028175642,0.00033077432,0.00025874,0.00095274526,0.00033971202,0.0002186205,0.00037520658],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018114334,0.00042124718,0.006282027,0.0020352465,0.00017941462,0.000441313,0.00045286203,0.095393136,0.48599494,0.013616067,0.0039004334,0.38947186],"study_design_scores_gemma":[0.000271932,0.0047516082,0.015881315,0.00013112443,0.00023945748,0.0008972533,0.000472581,0.44279143,0.4665507,0.0024148622,0.065470025,0.00012774803],"about_ca_topic_score_codex":0.0006224509,"about_ca_topic_score_gemma":0.0011794171,"teacher_disagreement_score":0.0021655755,"about_ca_system_score_codex":0.0002553127,"about_ca_system_score_gemma":0.00025750557,"threshold_uncertainty_score":0.007244587},"labels":[],"label_agreement":null},{"id":"W4386252821","doi":"10.1038/s41467-023-40995-3","title":"Operando monitoring of thermal runaway in commercial lithium-ion cells via advanced lab-on-fiber technologies","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":355,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; National Research Council Canada","funders":"Youth Innovation Promotion Association; National Postdoctoral Program for Innovative Talents; Youth Innovation Promotion Association of the Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Thermal runaway; Lithium (medication); Materials science; Ion; Fiber; Thermal; Nanotechnology; Optoelectronics; Nuclear engineering; Chemistry; Battery (electricity); Physics; Medicine; Composite material; Engineering; Thermodynamics","score_opus":0.02282418182005597,"score_gpt":0.3177996649416418,"score_spread":0.29497548312158584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386252821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900822,0.00023975426,0.008672587,0.000061594605,0.00001683466,0.000019227582,0.00015859745,0.00026287217,0.00048639518],"genre_scores_gemma":[0.9932876,0.00016794984,0.006012431,0.000031620464,0.0000076050537,0.000022593083,0.00006676532,0.000015289228,0.00038810767],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997861,0.000016124512,0.000007779493,0.000052018106,0.00011298006,0.000025089243],"domain_scores_gemma":[0.99974364,0.00005226103,0.000109358916,0.000021732247,0.000054179407,0.000018766948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019405082,0.00033992247,0.00015189928,0.00023791661,0.00017327545,0.0002117654,0.00038091137,0.0003049521,0.0007434449],"category_scores_gemma":[0.00033777326,0.00011132108,0.000110559406,0.00023659827,0.0003482201,0.0005346582,0.00021891126,0.00028681196,0.00016701788],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008843583,0.000025479332,0.0020916688,0.000036379795,0.0000047722037,0.000062074614,0.00006484192,0.00020692941,0.99169344,0.000044020897,0.00006469091,0.005617315],"study_design_scores_gemma":[0.0000045533484,0.00020596097,0.006167455,0.0000035597247,0.0000072701187,0.000091535316,0.000054309792,0.00408338,0.9889065,0.000040861574,0.00042400789,0.000010520394],"about_ca_topic_score_codex":0.00073188264,"about_ca_topic_score_gemma":0.0015896956,"teacher_disagreement_score":0.0007434449,"about_ca_system_score_codex":0.0003254616,"about_ca_system_score_gemma":0.00014977784,"threshold_uncertainty_score":0.0024870634},"labels":[],"label_agreement":null},{"id":"W4386373381","doi":"10.1016/b978-0-443-19017-9.00008-8","title":"Battery thermal management through simulation and experiment: Air cooling and enhancement","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery pack; Air cooling; Battery (electricity); Thermal; Airflow; Inlet; Mechanical engineering; Section (typography); Computational fluid dynamics; Materials science; Nuclear engineering; Automotive engineering; Aerospace engineering; Engineering; Power (physics); Computer science; Physics; Thermodynamics","score_opus":0.02791444120874987,"score_gpt":0.282471774412295,"score_spread":0.2545573332035451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386373381","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75088435,0.001442432,0.17537318,0.0005901179,0.000357317,0.00024525658,0.0014235186,0.002704173,0.0669796],"genre_scores_gemma":[0.9706014,0.00040484514,0.018883782,0.000041723863,0.000016705906,0.000118858516,0.00026170517,0.00015546638,0.009515563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999193,0.000024541865,0.000005037554,0.000013756501,0.000029049976,0.000008302758],"domain_scores_gemma":[0.99974316,0.00016037839,0.000008883434,0.00003069419,0.00004897197,0.000007872892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026745783,0.00034811988,0.0004387489,0.00014006454,0.00022061919,0.00055865326,0.00051889766,0.0004320854,0.004308776],"category_scores_gemma":[0.00045743733,0.0001832687,0.00030690685,0.0002474279,0.0002784926,0.0007497372,0.00018340173,0.00035947695,0.00039187627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013593275,0.00064991415,0.0029188488,0.00041412492,0.000049728533,0.00008790269,0.00025485238,0.7665329,0.103271194,0.0033891029,0.0071494104,0.11392275],"study_design_scores_gemma":[0.00009187149,0.0003477957,0.0011566178,0.000017912815,0.000028478216,0.000032236887,0.000077019395,0.9356726,0.056334466,0.0011343581,0.0050868522,0.00001979741],"about_ca_topic_score_codex":0.0032671776,"about_ca_topic_score_gemma":0.0035998418,"teacher_disagreement_score":0.004308776,"about_ca_system_score_codex":0.00036189766,"about_ca_system_score_gemma":0.0003392625,"threshold_uncertainty_score":0.01441431},"labels":[],"label_agreement":null},{"id":"W4386432765","doi":"10.1007/978-981-19-9822-5_164","title":"Fire Risks of Renewable Energy Technologies in Buildings: Analysis of Fire Effluents for Smoke and Toxicant Detection","year":2023,"lang":"en","type":"book-chapter","venue":"Environmental science and engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; National Research Council Canada; Université de Sherbrooke","funders":"","keywords":"Smoke; Explosive material; Environmental science; Flammable liquid; Combustion; Waste management; Renewable energy; Toxicant; Photovoltaic system; Fire detection; Environmental engineering; Engineering; Architectural engineering; Chemistry","score_opus":0.022626395943595633,"score_gpt":0.24627738589211068,"score_spread":0.22365098994851504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386432765","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2389451,0.077301756,0.059957884,0.0028119246,0.0009963906,0.00013757752,0.0011643622,0.00025770557,0.6184274],"genre_scores_gemma":[0.53417176,0.03972013,0.009462976,0.00062297966,0.0003401949,0.000059554794,0.00065173284,0.00015036965,0.41482028],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997632,0.00002535958,0.0000036203128,0.000016492337,0.0001724295,0.000018894625],"domain_scores_gemma":[0.9997999,0.00013530385,0.000018897228,0.000008159314,0.0000308486,0.000006817245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021430274,0.00041805216,0.0002515259,0.00063829747,0.00024295427,0.0010067496,0.00061064475,0.0008745439,0.0053463182],"category_scores_gemma":[0.00034326923,0.0002000539,0.00056002574,0.00053669466,0.00021002002,0.000565026,0.00032429516,0.00060890144,0.001192727],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034549937,0.0007297583,0.0144514,0.0009109626,0.0002280845,0.0012658674,0.0006685038,0.111478895,0.044273112,0.1762292,0.05986727,0.5895514],"study_design_scores_gemma":[0.00002957829,0.0016430473,0.09849709,0.0010967342,0.00029526252,0.0038271756,0.0021125986,0.15763006,0.09089421,0.25721872,0.38658765,0.00016785297],"about_ca_topic_score_codex":0.0017519506,"about_ca_topic_score_gemma":0.004347529,"teacher_disagreement_score":0.0053463182,"about_ca_system_score_codex":0.0007464528,"about_ca_system_score_gemma":0.00035333112,"threshold_uncertainty_score":0.017885268},"labels":[],"label_agreement":null},{"id":"W4386590005","doi":"10.1016/j.est.2023.108952","title":"Development and analysis of hybrid cooling concepts for an electric battery pack","year":2023,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery pack; Duct (anatomy); Airflow; Battery (electricity); Computer cooling; Air cooling; Phase-change material; Transient (computer programming); Working fluid; Mechanical engineering; Power (physics); Mechanics; Thermal; Engineering; Thermodynamics; Computer science; Physics; Thermal management of electronic devices and systems","score_opus":0.026969499020412447,"score_gpt":0.29733169230003115,"score_spread":0.2703621932796187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386590005","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2652968,0.0020817465,0.6946343,0.0002183508,0.0001796694,0.00040236764,0.00015325262,0.00058878475,0.03644472],"genre_scores_gemma":[0.9423363,0.00064576126,0.04599561,0.000024150055,0.000020726926,0.0001701558,0.0000899753,0.00009006853,0.01062717],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999194,0.000010178847,0.0000025027523,0.000011592868,0.00004580291,0.000010587416],"domain_scores_gemma":[0.99989676,0.000028272641,0.000009652695,0.00001108083,0.000048517384,0.000005647285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027284518,0.00027757144,0.00031293638,0.00026005748,0.00032785392,0.00049040513,0.00067368534,0.00026461273,0.0034019835],"category_scores_gemma":[0.0003049966,0.00021527286,0.0003494371,0.00016597896,0.00029865067,0.0007718557,0.0003365433,0.00036629732,0.00038161245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032856924,0.00023749792,0.002522845,0.00089526933,0.000096751115,0.00023522959,0.00034716938,0.3574104,0.41684595,0.055387348,0.0033445559,0.16234845],"study_design_scores_gemma":[0.00003265111,0.0005633686,0.0018789094,0.000038686576,0.000035648005,0.00013394094,0.00006942431,0.90801316,0.07111801,0.0036897957,0.014402713,0.000023665867],"about_ca_topic_score_codex":0.00076679647,"about_ca_topic_score_gemma":0.001166614,"teacher_disagreement_score":0.0034019835,"about_ca_system_score_codex":0.00038561135,"about_ca_system_score_gemma":0.00047149629,"threshold_uncertainty_score":0.011380792},"labels":[],"label_agreement":null},{"id":"W4386630459","doi":"10.1109/peds57185.2023.10246543","title":"A Bidirectional Onboard Charger with G-V/V-G /V-H Functionality and Seamless Mode Transfer Capability for E-2 and E-3 Wheelers Applications","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Transfer (computing); Inverter; Electrical engineering; Grid; Computer science; Mode (computer interface); Maximum power transfer theorem; Automotive engineering; Voltage; Power (physics); Engineering; Operating system; Physics","score_opus":0.023490394848494068,"score_gpt":0.27446803281880877,"score_spread":0.2509776379703147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386630459","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35531467,0.0020133692,0.4927492,0.0009373762,0.0009158763,0.00082883664,0.0017652799,0.010035076,0.13544028],"genre_scores_gemma":[0.9371472,0.0005326975,0.031004597,0.00030978912,0.000089255685,0.00014948171,0.00076438347,0.00025160014,0.029751023],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979967,0.000015564872,0.000008255822,0.000034234836,0.000109054155,0.000033247903],"domain_scores_gemma":[0.999902,0.000006583216,0.000013752511,0.000018673136,0.000043852604,0.000015096691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000117744705,0.00039747104,0.0004156069,0.0004358952,0.00032602245,0.00058700424,0.0011720263,0.00041561338,0.0062899855],"category_scores_gemma":[0.00012421778,0.0001477897,0.00027080352,0.00048074475,0.00015784618,0.0006455668,0.0005929004,0.0005951143,0.0030603965],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055367284,0.00029584055,0.0023929412,0.00086005224,0.00005859031,0.000963442,0.00031519556,0.0034089624,0.73656917,0.010362523,0.024619553,0.21960011],"study_design_scores_gemma":[0.00016133694,0.0022055288,0.006987039,0.000117041454,0.00012612631,0.003553157,0.00027037744,0.05049421,0.60526294,0.0019424874,0.32875374,0.00012606401],"about_ca_topic_score_codex":0.00095585664,"about_ca_topic_score_gemma":0.0021604493,"teacher_disagreement_score":0.0062899855,"about_ca_system_score_codex":0.00032567236,"about_ca_system_score_gemma":0.00033166257,"threshold_uncertainty_score":0.021042109},"labels":[],"label_agreement":null},{"id":"W4386630554","doi":"10.1109/peds57185.2023.10246552","title":"Control Strategies For Optimal Power Flow Management and Enhanced Cycle Life Of Battery-Supercapacitor Hybrid Energy Storage System (HESS)","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Supercapacitor; Battery (electricity); Energy storage; Energy management; Power management; Power flow; Computer science; Power (physics); Control (management); Automotive engineering; Energy (signal processing); Engineering; Electric power system; Capacitance; Chemistry; Electrode; Artificial intelligence; Mathematics","score_opus":0.008646761477880573,"score_gpt":0.22589642741499938,"score_spread":0.2172496659371188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386630554","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.078251585,0.000787762,0.8983751,0.00048746288,0.00017047348,0.00020393082,0.00011283146,0.00066643365,0.02094434],"genre_scores_gemma":[0.9861898,0.00018524574,0.011431777,0.000043410742,0.000027977982,0.00008652032,0.000028756245,0.000015962183,0.0019905511],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989116,0.000016675118,0.0000091176435,0.000030006426,0.000031706346,0.00002140456],"domain_scores_gemma":[0.99981326,0.000050376657,0.000046669502,0.000008861718,0.000071349095,0.000009434168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003158841,0.0007042036,0.00033722774,0.00033197197,0.00035793555,0.001013124,0.000496793,0.00038846122,0.0022713437],"category_scores_gemma":[0.0004880783,0.00020033374,0.00020860463,0.00022843826,0.00031691726,0.0005269807,0.0003926035,0.00048417918,0.00025670204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044223308,0.00031437262,0.0006930251,0.00038439428,0.00006901196,0.00017532535,0.00031093715,0.7109069,0.06969865,0.029833574,0.004244051,0.18292746],"study_design_scores_gemma":[0.00004618721,0.0002178003,0.00032415157,0.00001669069,0.000022622336,0.000025761172,0.000035095585,0.9877566,0.006359967,0.0033476036,0.0018359359,0.00001162665],"about_ca_topic_score_codex":0.0017687314,"about_ca_topic_score_gemma":0.0025622183,"teacher_disagreement_score":0.0022713437,"about_ca_system_score_codex":0.000392769,"about_ca_system_score_gemma":0.00040269035,"threshold_uncertainty_score":0.0075984597},"labels":[],"label_agreement":null},{"id":"W4386630776","doi":"10.1109/peds57185.2023.10246652","title":"Optimization of Diesel Generator Usage for Multi-Source Nano-Grid","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Electric (Canada); Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Institut National des Sciences Appliquées de Lyon; Fonds de recherche du Québec – Nature et technologies; Université Grenoble Alpes; Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke; McMaster University; Indian National Science Academy; Centre National de la Recherche Scientifique; University of Ottawa","keywords":"Diesel generator; Automotive engineering; Computer science; MATLAB; Renewable energy; Diesel fuel; Generator (circuit theory); Grid; Diesel engine; Energy management; Energy management system; Energy (signal processing); Engineering; Electrical engineering; Power (physics); Operating system","score_opus":0.07831486346222827,"score_gpt":0.3225711097907959,"score_spread":0.24425624632856763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386630776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6521507,0.0010428469,0.3221278,0.00028103442,0.00006375655,0.00016754642,0.00034731082,0.0005257519,0.023293287],"genre_scores_gemma":[0.99284464,0.00006887314,0.005837536,0.000012750411,0.0000015533253,0.000027567532,0.000040094154,0.000021543021,0.001145494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999025,0.000024348194,0.0000042070446,0.000023882632,0.000028172033,0.000016990696],"domain_scores_gemma":[0.9998683,0.000060842027,0.000023224615,0.000011182213,0.000025508903,0.000010883332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019608781,0.00044703454,0.00039566078,0.00029162684,0.00015630978,0.0006409398,0.00038911,0.00034866892,0.0016215775],"category_scores_gemma":[0.0004046751,0.00017494272,0.0002541392,0.0002679752,0.00014871705,0.00044133517,0.00024064402,0.00028644197,0.00027387674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020186849,0.00015495575,0.0014237751,0.00017685267,0.000051774743,0.00013035249,0.00003292353,0.94287264,0.018431881,0.0014044098,0.00063644955,0.03448211],"study_design_scores_gemma":[0.000030868654,0.00017153696,0.0015245634,0.000012004784,0.00002772799,0.000037413,0.00003977579,0.9881976,0.007598238,0.00095293263,0.0013976238,0.000009709465],"about_ca_topic_score_codex":0.0011213394,"about_ca_topic_score_gemma":0.0023435527,"teacher_disagreement_score":0.0016215775,"about_ca_system_score_codex":0.0003992361,"about_ca_system_score_gemma":0.00023964321,"threshold_uncertainty_score":0.0054246783},"labels":[],"label_agreement":null},{"id":"W4386630803","doi":"10.1109/peds57185.2023.10246548","title":"A Novel Partial Power Cascaded DC/DC Topology for CPV Application: A Theoretical Study","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Topology (electrical circuits); Converters; Context (archaeology); Power (physics); Independence (probability theory); Power factor; Computer science; Voltage; Electronic engineering; Electrical engineering; Engineering; Physics; Mathematics","score_opus":0.04357701922022729,"score_gpt":0.34988889614256846,"score_spread":0.3063118769223412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386630803","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050470617,0.0027257497,0.82897574,0.00048762042,0.00020320782,0.00017329514,0.00015140216,0.00027929104,0.11653301],"genre_scores_gemma":[0.9066973,0.0026306089,0.075364135,0.00008155516,0.00014330805,0.00010405311,0.00012773609,0.000041741907,0.014809601],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99993205,0.00000812337,0.0000022620645,0.000017480857,0.00003481905,0.00000528372],"domain_scores_gemma":[0.99995697,0.0000096543345,0.0000034914135,0.000009788158,0.000015487922,0.0000046663013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007536943,0.0002564667,0.00021622716,0.00027801984,0.00038945623,0.0007300423,0.0005677043,0.00041128058,0.005991628],"category_scores_gemma":[0.0001816729,0.00013094286,0.00020107337,0.00035493274,0.00036103636,0.00080676447,0.00023350601,0.00045593677,0.0007269616],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072750525,0.000095652744,0.00039285267,0.0008148446,0.000026161855,0.0007632389,0.00024703977,0.10685178,0.11497766,0.6159502,0.007072049,0.15273567],"study_design_scores_gemma":[0.000032102795,0.00047923825,0.00077224075,0.000102804814,0.000032110147,0.002650347,0.00014868325,0.7414831,0.03748754,0.10819427,0.108576246,0.000041318886],"about_ca_topic_score_codex":0.00025990405,"about_ca_topic_score_gemma":0.00032983656,"teacher_disagreement_score":0.005991628,"about_ca_system_score_codex":0.0003095504,"about_ca_system_score_gemma":0.00018178242,"threshold_uncertainty_score":0.020044029},"labels":[],"label_agreement":null},{"id":"W4386631350","doi":"10.1109/peds57185.2023.10246545","title":"Recent Advancements in Vehicle to Vehicle Charging","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Electric vehicle; Vehicle-to-vehicle; Computer science; Automotive engineering; Vehicular communication systems; Power (physics); Engineering; Vehicular ad hoc network; Telecommunications; Wireless ad hoc network; Wireless; Computer network","score_opus":0.031101436671481988,"score_gpt":0.3070843474961481,"score_spread":0.27598291082466614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386631350","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01370981,0.889296,0.02526339,0.0049858913,0.003283594,0.000052633335,0.00018382915,0.000226489,0.06299842],"genre_scores_gemma":[0.075372316,0.89237076,0.012071315,0.0012616906,0.0031638597,0.000033432065,0.00031804378,0.00004916262,0.015359562],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995173,0.00007431189,0.00004495168,0.000105482286,0.00020639987,0.00005154188],"domain_scores_gemma":[0.9986786,0.00043262742,0.0001153656,0.00006924415,0.00061563216,0.000088504166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008548953,0.00045660482,0.00047126037,0.0013318622,0.00032667798,0.0012505864,0.00078818173,0.00093248585,0.0060148747],"category_scores_gemma":[0.0017219195,0.00024274287,0.0004359793,0.003142546,0.00040590236,0.002546575,0.00085848046,0.0010438081,0.0023012047],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018512201,0.000106582134,0.0014464189,0.004376578,0.000037281567,0.00027175903,0.00018226274,0.003620939,0.00771851,0.03456853,0.019832896,0.92765296],"study_design_scores_gemma":[0.0000109877155,0.00028017108,0.0014766663,0.0008109324,0.000076970675,0.0017189097,0.00031841666,0.0050684703,0.0073248125,0.01128482,0.97156817,0.00006058154],"about_ca_topic_score_codex":0.00053224526,"about_ca_topic_score_gemma":0.0004741799,"teacher_disagreement_score":0.0060148747,"about_ca_system_score_codex":0.0005026876,"about_ca_system_score_gemma":0.0008074432,"threshold_uncertainty_score":0.020121813},"labels":[],"label_agreement":null},{"id":"W4386646121","doi":"10.1109/peds57185.2023.10246605","title":"A Fast Active Cell Balancing Strategy for Lithium-ion Battery Packs","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Battery pack; State of charge; Electrification; Battery (electricity); Computer science; Volt; Lithium-ion battery; Process (computing); Automotive engineering; Load balancing (electrical power); Voltage; Electrical engineering; Electricity; Engineering; Power (physics); Grid","score_opus":0.025670486649462722,"score_gpt":0.2843094625165246,"score_spread":0.2586389758670619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386646121","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20109726,0.00091900537,0.77811474,0.0001417623,0.00019223362,0.00011853475,0.00005604592,0.000964437,0.01839602],"genre_scores_gemma":[0.96342665,0.0002196745,0.031104837,0.00003643075,0.000029403112,0.00004679264,0.000050211424,0.000021610083,0.0050643254],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999436,0.0000058336,0.00000484064,0.000009539957,0.000027799326,0.000008310034],"domain_scores_gemma":[0.99995315,0.000005087147,0.000007332684,0.0000049986343,0.000024150746,0.000005212302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000062792,0.0003793936,0.0002347192,0.0003217431,0.00031191087,0.00037204014,0.00055538275,0.00022414072,0.0023589178],"category_scores_gemma":[0.000104231716,0.00012015664,0.00013562653,0.0002259112,0.00015467293,0.00056049303,0.00032254105,0.00015152722,0.00064998586],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003438314,0.0001569156,0.00095912855,0.00024709722,0.000034048382,0.00032984762,0.0002860744,0.05642249,0.46957704,0.016423948,0.002451679,0.45276788],"study_design_scores_gemma":[0.00006436582,0.0009151286,0.0014783512,0.000034182634,0.000054793152,0.0004134386,0.00014174309,0.8306323,0.14059576,0.0052601383,0.020374445,0.00003530493],"about_ca_topic_score_codex":0.0006791251,"about_ca_topic_score_gemma":0.00097110315,"teacher_disagreement_score":0.0023589178,"about_ca_system_score_codex":0.00015842202,"about_ca_system_score_gemma":0.00014281945,"threshold_uncertainty_score":0.007891357},"labels":[],"label_agreement":null},{"id":"W4386735309","doi":"10.1007/978-3-031-43520-1_5","title":"Advancing Lithium-Ion Battery Management with Deep Learning: A Comprehensive Review","year":2023,"lang":"en","type":"review","venue":"Lecture notes in networks and systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Battery (electricity); Computer science; Deep learning; Energy density; Lithium-ion battery; Artificial neural network; Lithium (medication); Artificial intelligence; Reliability engineering; Engineering; Power (physics); Engineering physics; Medicine","score_opus":0.02702299633609028,"score_gpt":0.29657308449661174,"score_spread":0.26955008816052145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386735309","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005816358,0.99482036,0.002569316,0.0004037276,0.00020405279,0.000009446596,0.000050004288,0.000038910523,0.0013225264],"genre_scores_gemma":[0.0048730504,0.9917148,0.0017585235,0.0003691775,0.00023254154,0.000012148695,0.00009923144,0.0000107503965,0.00092966954],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998621,0.000017491706,0.000017613618,0.000033844815,0.00005218942,0.000016738364],"domain_scores_gemma":[0.9996394,0.00019601031,0.00004497527,0.000012731793,0.00008499716,0.000022001459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005966497,0.00095273805,0.0012669035,0.0007580702,0.00014460913,0.00080107833,0.0013339848,0.0010003523,0.0032017922],"category_scores_gemma":[0.0010480738,0.00035482718,0.0007197669,0.0011173707,0.00028305233,0.0018031459,0.0008105159,0.0012170792,0.0013125626],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005955982,0.00008605946,0.0002351408,0.011647649,0.00013109768,0.000051792093,0.0000147953,0.0024729064,0.0010696723,0.0026040636,0.014506963,0.9671204],"study_design_scores_gemma":[0.000099022895,0.000747216,0.0013174363,0.010113622,0.0010019382,0.0010161414,0.00008211651,0.010993655,0.008979222,0.01190615,0.9536318,0.00011167152],"about_ca_topic_score_codex":0.0011734706,"about_ca_topic_score_gemma":0.002284988,"teacher_disagreement_score":0.0032017922,"about_ca_system_score_codex":0.0003679084,"about_ca_system_score_gemma":0.0008970877,"threshold_uncertainty_score":0.010711014},"labels":[],"label_agreement":null},{"id":"W4386854202","doi":"10.1149/ma2023-01251648mtgabs","title":"(Invited) Parameter Identification and Degradation Estimation of Li-Ion Batteries: Physics-Based Model and EIS Experimental Coupling","year":2023,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Battery (electricity); State of health; Extrapolation; Lithium-ion battery; State of charge; Dielectric spectroscopy; Reliability engineering; Computer science; Identification (biology); Degradation (telecommunications); Range (aeronautics); Electrical engineering; Engineering; Electrochemistry; Power (physics); Chemistry; Physics; Electrode; Mathematics","score_opus":0.03282877004699737,"score_gpt":0.29218147643811054,"score_spread":0.2593527063911132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386854202","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07751495,0.0062994817,0.8947284,0.0009441409,0.00031804247,0.00019857702,0.0007278874,0.0045536584,0.01471493],"genre_scores_gemma":[0.9252144,0.0049814843,0.05710211,0.000361713,0.00016389266,0.00031947103,0.0009031454,0.00013934125,0.010814488],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997713,0.000030711926,0.000017750914,0.00007318151,0.00009621813,0.000010919825],"domain_scores_gemma":[0.99974495,0.0000598627,0.000027444963,0.000052537696,0.00010557082,0.000009634457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045041624,0.00061835145,0.00055899867,0.00060014444,0.00022378776,0.0010808144,0.00096717756,0.0011446254,0.0020736174],"category_scores_gemma":[0.0010291116,0.0002600245,0.0004941904,0.00062133896,0.00038021803,0.0017350024,0.0007560318,0.00064869964,0.0018751106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047970534,0.00029625805,0.015301454,0.0015742282,0.00013045596,0.0005684681,0.00059541775,0.33671978,0.10361661,0.011409649,0.009940843,0.5193671],"study_design_scores_gemma":[0.000020027423,0.0003537691,0.005280042,0.0001035817,0.00006122591,0.0004902187,0.00012981117,0.9060607,0.057993226,0.007841282,0.021575097,0.000091004054],"about_ca_topic_score_codex":0.0013782956,"about_ca_topic_score_gemma":0.0007549591,"teacher_disagreement_score":0.0020736174,"about_ca_system_score_codex":0.00038365132,"about_ca_system_score_gemma":0.00029744982,"threshold_uncertainty_score":0.006936908},"labels":[],"label_agreement":null},{"id":"W4386855467","doi":"10.1149/ma2023-012616mtgabs","title":"(Invited) Quantitative Measurement of the Safety Performance of Li-Ion Batteries","year":2023,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Automotive engineering; Reliability engineering; Calorimeter (particle physics); Computer science; Nuclear engineering; Short circuit; Voltage; Evaluation methods; Materials science; Engineering; Electrical engineering; Telecommunications","score_opus":0.04035525079071752,"score_gpt":0.2702178119649518,"score_spread":0.2298625611742343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386855467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5969214,0.016588386,0.2837694,0.0009722783,0.0015986231,0.0006171648,0.0061337557,0.007073327,0.0863256],"genre_scores_gemma":[0.91152245,0.0037862435,0.040087152,0.00038554968,0.00014547663,0.00029962233,0.0018145678,0.00035581322,0.041603208],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989465,0.0000938008,0.00004659984,0.0001056868,0.0007721519,0.000035295565],"domain_scores_gemma":[0.9991284,0.0001711908,0.000086339125,0.00008748475,0.0005038209,0.000022772105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006612744,0.00046272244,0.00028884097,0.0008898439,0.00022972935,0.0009774901,0.0006279755,0.000692952,0.008807558],"category_scores_gemma":[0.0014324685,0.00015526918,0.00025942698,0.00059352006,0.00037802887,0.0009454361,0.00043438363,0.00038565768,0.0039450433],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046468346,0.00007475945,0.0027665857,0.0007253807,0.000026203625,0.00012153303,0.00019095012,0.001979344,0.88098603,0.0016624521,0.004495696,0.1065064],"study_design_scores_gemma":[0.000022434848,0.0008116357,0.010232286,0.000083044855,0.000029929037,0.00045288596,0.00020931082,0.005426128,0.9537045,0.0016409452,0.027324622,0.00006233228],"about_ca_topic_score_codex":0.0005345611,"about_ca_topic_score_gemma":0.00052500126,"teacher_disagreement_score":0.008807558,"about_ca_system_score_codex":0.00033914237,"about_ca_system_score_gemma":0.00020326566,"threshold_uncertainty_score":0.029464245},"labels":[],"label_agreement":null},{"id":"W4386855483","doi":"10.1149/ma2023-012539mtgabs","title":"Dry Battery Electrode Manufacturing Enabled By Continuous Powder Mixing","year":2023,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Battery (electricity); Coating; Materials science; Slurry; Process engineering; Waste management; Environmental science; Chemical engineering; Nanotechnology; Composite material; Engineering","score_opus":0.010689104070108528,"score_gpt":0.23893754223956504,"score_spread":0.2282484381694565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386855483","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.375802,0.021839095,0.50663173,0.001200363,0.0022488248,0.0012759141,0.003178039,0.01273087,0.07509307],"genre_scores_gemma":[0.75672525,0.0076997927,0.21031143,0.0005349437,0.00025943812,0.0005704355,0.0017890641,0.0006649164,0.021444691],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994666,0.000022181797,0.00003771797,0.00015514829,0.0002720715,0.000046138517],"domain_scores_gemma":[0.9998172,0.000024791969,0.000039337276,0.00005393222,0.00004572971,0.000019038469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002611049,0.00077830773,0.0006884246,0.0007779488,0.00025056896,0.0009880654,0.0009005908,0.00092987303,0.0055403668],"category_scores_gemma":[0.00048124976,0.00045377837,0.00051035255,0.00059657014,0.00031145976,0.001083518,0.0007946455,0.0012604808,0.0046802606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010644458,0.000107513784,0.00013263158,0.0005281368,0.000020788502,0.00025541696,0.000043444466,0.000867395,0.9520764,0.0017340175,0.002752568,0.041375265],"study_design_scores_gemma":[0.000055897846,0.00040765858,0.00067693065,0.00004670921,0.000027155851,0.0006655539,0.000018105888,0.011292904,0.94287217,0.0005182323,0.043373697,0.00004501789],"about_ca_topic_score_codex":0.00018590465,"about_ca_topic_score_gemma":0.00031797105,"teacher_disagreement_score":0.0055403668,"about_ca_system_score_codex":0.00026485656,"about_ca_system_score_gemma":0.00018521746,"threshold_uncertainty_score":0.018534362},"labels":[],"label_agreement":null},{"id":"W4386902794","doi":"10.1109/tpwrd.2023.3317804","title":"Control Design for Effective Usage of Electric Vehicles in V2G-Enabled DC Charging Stations","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"State of charge; Controller (irrigation); Charging station; Converters; Electrical engineering; Battery (electricity); Electric vehicle; Energy storage; Engineering; Grid; Voltage; Trickle charging; Vehicle-to-grid; Computer science; Power (physics)","score_opus":0.01686139203572336,"score_gpt":0.25877211481344164,"score_spread":0.24191072277771827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386902794","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019177526,0.00023258706,0.964668,0.00012436732,0.00009985964,0.00016951289,0.00004270872,0.00061576,0.014869752],"genre_scores_gemma":[0.97602624,0.00014867894,0.021082526,0.000055169457,0.00003080401,0.00014912782,0.00003466481,0.000023930776,0.0024488785],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967015,0.000043762982,0.000019075178,0.000087069115,0.00013180538,0.00004813038],"domain_scores_gemma":[0.999785,0.000035468525,0.000037200272,0.000016824613,0.000114258306,0.000011230804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036516643,0.0005342942,0.00026347485,0.0002681099,0.00042149815,0.001034588,0.00069985655,0.00035116865,0.0017583367],"category_scores_gemma":[0.0004987289,0.00017841178,0.00024126178,0.0001932187,0.00034362104,0.00029667126,0.00043614,0.0004513143,0.0003359535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024004874,0.00017573836,0.0014468676,0.00043274552,0.00006641128,0.00022847929,0.00028338534,0.7484161,0.05770718,0.026413,0.0032897487,0.16130032],"study_design_scores_gemma":[0.00004514414,0.0002242655,0.00046331255,0.000024147077,0.000032487715,0.000047086945,0.000042036532,0.97936064,0.011956185,0.001717137,0.006075953,0.000011551528],"about_ca_topic_score_codex":0.003800542,"about_ca_topic_score_gemma":0.0027462204,"teacher_disagreement_score":0.003800542,"about_ca_system_score_codex":0.00041624185,"about_ca_system_score_gemma":0.0006385314,"threshold_uncertainty_score":0.0075568557},"labels":[],"label_agreement":null},{"id":"W4386934032","doi":"10.3390/batteries9090474","title":"Experimental and Numerical Analysis of a Hybrid Thermal Management Concept at Different Discharge Rates for a Cylindrical Li-Ion Battery Module","year":2023,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); Materials science; Phase-change material; Thermal; Nuclear engineering; Airflow; Computer cooling; Ion; Propulsion; Energy storage; Battery pack; Power (physics); Mechanics; Environmental science; Thermodynamics; Mechanical engineering; Thermal management of electronic devices and systems; Chemistry; Physics; Engineering","score_opus":0.018844680539522825,"score_gpt":0.29171121656720644,"score_spread":0.2728665360276836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386934032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99125284,0.00023511858,0.0069785155,0.000080183345,0.000027151542,0.000030208526,0.00021151765,0.00012477637,0.0010595684],"genre_scores_gemma":[0.99453366,0.00010579083,0.0047947555,0.000010473233,0.000003831254,0.000038229562,0.0000823694,0.00001365502,0.00041731776],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998698,0.000012350174,0.00000788413,0.00002190713,0.00006687847,0.000021143987],"domain_scores_gemma":[0.9997875,0.000050652263,0.000031997937,0.00003192405,0.00008241731,0.000015562176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003494436,0.00027373995,0.0004305922,0.00026573223,0.00035762138,0.0002772123,0.0005167299,0.000433535,0.0012022388],"category_scores_gemma":[0.0007009686,0.00014307843,0.00029737584,0.00036885223,0.0004249087,0.0006004076,0.00030362574,0.00034472827,0.00013419603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006428575,0.00018964703,0.0034068222,0.0005166074,0.000023807776,0.00035376474,0.0002726049,0.08391775,0.894536,0.0013567475,0.0007394934,0.0140439365],"study_design_scores_gemma":[0.00010456624,0.0019500561,0.009759403,0.000028777336,0.000037573584,0.00023316169,0.00027378293,0.32029527,0.66373754,0.00045800218,0.003056729,0.00006505892],"about_ca_topic_score_codex":0.00079402834,"about_ca_topic_score_gemma":0.0008889625,"teacher_disagreement_score":0.0012022388,"about_ca_system_score_codex":0.0003588762,"about_ca_system_score_gemma":0.00026759785,"threshold_uncertainty_score":0.0040218234},"labels":[],"label_agreement":null},{"id":"W4386951787","doi":"10.1016/j.apenergy.2023.121945","title":"Temperature-aware charging strategy for lithium-ion batteries with adaptive current sequences in cold environments","year":2023,"lang":"en","type":"article","venue":"Applied Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"China Scholarship Council","keywords":"Battery (electricity); Charge cycle; Lithium-ion battery; Particle swarm optimization; Trickle charging; Automotive engineering; State of charge; Constant current; Lithium (medication); Computer science; Current (fluid); Simulation; Electrical engineering; Engineering; Algorithm; Power (physics)","score_opus":0.02431931773248347,"score_gpt":0.2537289063472154,"score_spread":0.22940958861473193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386951787","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35783026,0.0013781708,0.6198009,0.00043231514,0.0002994614,0.0001325399,0.0001158823,0.0011543278,0.018856194],"genre_scores_gemma":[0.9932821,0.00008626721,0.0050223344,0.00003990681,0.000016420981,0.000013791056,0.000024358555,0.000014736471,0.0014999625],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989843,0.000010066354,0.0000068310437,0.00002417152,0.00003203862,0.000028418608],"domain_scores_gemma":[0.99986684,0.000019482412,0.000015283345,0.000011181941,0.000068745,0.000018449446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011390832,0.000431181,0.00043908425,0.00023580689,0.00050786766,0.0005843655,0.00090838404,0.0002802342,0.0014310231],"category_scores_gemma":[0.00028599473,0.00013898504,0.00019345466,0.00022987089,0.00020632625,0.0006073985,0.00044905164,0.00026932606,0.00035214005],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015297384,0.00040765043,0.003743655,0.00038275222,0.000076419325,0.0007076758,0.0004642581,0.49265373,0.235392,0.0075453753,0.0049276007,0.25216916],"study_design_scores_gemma":[0.000022380937,0.0002037107,0.0010927891,0.00001226828,0.000023591707,0.0001753743,0.00013040195,0.9697762,0.024470776,0.00232956,0.0017404008,0.000022571212],"about_ca_topic_score_codex":0.0016578836,"about_ca_topic_score_gemma":0.003594188,"teacher_disagreement_score":0.0016578836,"about_ca_system_score_codex":0.00033170052,"about_ca_system_score_gemma":0.00042898147,"threshold_uncertainty_score":0.0047872066},"labels":[],"label_agreement":null},{"id":"W4387039356","doi":"10.1049/icp.2023.1103","title":"MADELAINE - a multi-adaptive and cost-efficient DC charging system for EV car parks","year":2023,"lang":"en","type":"article","venue":"IET conference proceedings.","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wind Energy Institute of Canada","funders":"","keywords":"Modular design; Computer science; Grid; Inverter; Voltage; Electrical engineering; Automotive engineering; Engineering","score_opus":0.05785649480477424,"score_gpt":0.29351020828525365,"score_spread":0.23565371348047942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387039356","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3900641,0.0013950374,0.53654927,0.00057694153,0.00041527193,0.0006816645,0.0012808262,0.01473952,0.05429733],"genre_scores_gemma":[0.95791376,0.00019709958,0.024350345,0.0000691684,0.000022919412,0.000106862164,0.000372758,0.00010516148,0.016861988],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988663,0.000012723093,0.000006157411,0.000025766883,0.000050554096,0.000018114575],"domain_scores_gemma":[0.9999182,0.0000071625586,0.000011065038,0.000013963555,0.000036565765,0.000012916346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000116938405,0.0002644125,0.0003039571,0.00045139474,0.00040607012,0.0005203268,0.00089380454,0.00032915175,0.0045076543],"category_scores_gemma":[0.0001795581,0.00011131948,0.00018966623,0.00031936524,0.00011965755,0.00064237165,0.00046126868,0.00028153518,0.0012002342],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001488466,0.00036629898,0.0042974367,0.00079261546,0.000091954294,0.00073058903,0.00033891664,0.026720045,0.36271182,0.0076375166,0.022341982,0.57248235],"study_design_scores_gemma":[0.0004871761,0.002103813,0.0153709445,0.00013102617,0.0001530677,0.002694629,0.00026752058,0.31849995,0.3531456,0.00329063,0.30365995,0.00019569462],"about_ca_topic_score_codex":0.0011414487,"about_ca_topic_score_gemma":0.002019038,"teacher_disagreement_score":0.0045076543,"about_ca_system_score_codex":0.00034932586,"about_ca_system_score_gemma":0.00038668292,"threshold_uncertainty_score":0.0150796175},"labels":[],"label_agreement":null},{"id":"W4387250526","doi":"10.23919/epe23ecceeurope58414.2023.10264381","title":"An EV Drivetrain Integrated Auxiliary Battery Charger using a Dual Wound Three Phase Synchronous Machine","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Drivetrain; Automotive engineering; Battery (electricity); Electrical engineering; Engineering; Computer science; Topology (electrical circuits); Torque; Physics","score_opus":0.03567175174049827,"score_gpt":0.32419769670564613,"score_spread":0.2885259449651479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387250526","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2766542,0.00099329,0.6777178,0.00029393184,0.0004752706,0.00046775318,0.0007038082,0.007865401,0.034828566],"genre_scores_gemma":[0.9042945,0.00034674536,0.06675595,0.00015691224,0.00007349596,0.0001515717,0.0006294725,0.0002137624,0.027377639],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997874,0.00001878308,0.000016968776,0.000046787365,0.00011043935,0.000019687051],"domain_scores_gemma":[0.9999039,0.000009768382,0.000012852082,0.000021169264,0.000041974745,0.000010263376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013157193,0.0003767544,0.00054880243,0.00025854816,0.00025631342,0.00050869223,0.0013021505,0.00036827405,0.0036103327],"category_scores_gemma":[0.0001248631,0.00016045185,0.0002673775,0.00024908097,0.00013520895,0.0006356519,0.00040000907,0.00037954046,0.0018952136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052204856,0.00032476184,0.0016901974,0.0010201164,0.00010789387,0.00094155286,0.0001669403,0.0050329105,0.68875176,0.0048932396,0.009151763,0.28739682],"study_design_scores_gemma":[0.00036312456,0.0069420496,0.010816077,0.000118557655,0.0002835817,0.011491079,0.00022254675,0.12604162,0.62500715,0.0029490206,0.21561679,0.0001484463],"about_ca_topic_score_codex":0.00018356495,"about_ca_topic_score_gemma":0.00028925244,"teacher_disagreement_score":0.0036103327,"about_ca_system_score_codex":0.0001215376,"about_ca_system_score_gemma":0.0001594489,"threshold_uncertainty_score":0.012077808},"labels":[],"label_agreement":null},{"id":"W4387315037","doi":"10.1109/peds57185.2023.10268828","title":"An Electric Vehicle Circuit for Powering Independent Loads","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Renewable energy; Automotive engineering; Battery (electricity); Zero-energy building; Electrical engineering; Engineering; Electric power system; Power (physics); Wind power; Environmental science","score_opus":0.026720369925174965,"score_gpt":0.29348943107885755,"score_spread":0.2667690611536826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387315037","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20673831,0.00035735188,0.541945,0.00040215373,0.00040482383,0.00061321066,0.0012718932,0.0063912305,0.24187604],"genre_scores_gemma":[0.89853,0.0001551499,0.018468853,0.00010800749,0.000021188778,0.00015495677,0.0003849156,0.00015281679,0.082024105],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989533,0.000015544822,0.0000031011527,0.000016137627,0.000054132255,0.00001570288],"domain_scores_gemma":[0.9999361,0.000014413742,0.0000043559057,0.000009664672,0.000029946053,0.000005507599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060983373,0.0003500611,0.00017901584,0.0002459846,0.0003347876,0.00049732986,0.00094581273,0.00035096685,0.018412106],"category_scores_gemma":[0.00020698909,0.0001177136,0.0001806205,0.00020652839,0.00019572937,0.00044149844,0.00023140383,0.00029967175,0.0022221073],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006209634,0.0005511358,0.0039274907,0.000680388,0.00009586388,0.00082248554,0.00040813838,0.43914226,0.11973778,0.047685735,0.033183165,0.3531446],"study_design_scores_gemma":[0.0001712762,0.0010007432,0.0023615104,0.00006144389,0.0001095761,0.0006229886,0.0002191124,0.75289387,0.046980128,0.005802273,0.18972173,0.000055427354],"about_ca_topic_score_codex":0.0090284115,"about_ca_topic_score_gemma":0.017342031,"teacher_disagreement_score":0.018412106,"about_ca_system_score_codex":0.0006409477,"about_ca_system_score_gemma":0.0004917317,"threshold_uncertainty_score":0.061594665},"labels":[],"label_agreement":null},{"id":"W4387411763","doi":"10.1109/icrera59003.2023.10269386","title":"Assessing Electric Vehicle Charging Patterns: A Comprehensive Analysis of Charging Stations Usage","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Electric vehicle; Automotive engineering; Computer science; Transport engineering; Engineering; Power (physics)","score_opus":0.0455041512912349,"score_gpt":0.3340305031950757,"score_spread":0.2885263519038408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387411763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916413,0.00010379977,0.0024537886,0.000038683374,0.000003036772,0.000030543077,0.0035940027,0.000055813067,0.002079038],"genre_scores_gemma":[0.9930326,0.00011092866,0.0013894669,0.0000088250345,0.000005788714,0.000021775159,0.0045644715,0.000012017887,0.00085415225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970776,0.000053355885,0.0000307311,0.00007128036,0.000093074814,0.000043701777],"domain_scores_gemma":[0.9990871,0.00028727954,0.00021047285,0.000095709765,0.000245526,0.0000738453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000357634,0.00035423285,0.00033331913,0.00225969,0.00015614618,0.0007002502,0.00031353274,0.00042368541,0.0010445954],"category_scores_gemma":[0.0013939335,0.00015086676,0.0005291324,0.002902893,0.00012450607,0.00079137913,0.00042805602,0.00019635538,0.00044352573],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002064993,0.0001528033,0.8922873,0.00010257984,0.00038615553,0.00025099097,0.0003122879,0.049106088,0.0028847833,0.0006484526,0.0013376237,0.052324533],"study_design_scores_gemma":[0.0000054928587,0.00018076097,0.9406761,0.000017719027,0.00010027117,0.000297243,0.00067888363,0.053766303,0.0010805596,0.00047186436,0.002696398,0.000028435836],"about_ca_topic_score_codex":0.006556499,"about_ca_topic_score_gemma":0.0072747828,"teacher_disagreement_score":0.006556499,"about_ca_system_score_codex":0.0003733727,"about_ca_system_score_gemma":0.00029179538,"threshold_uncertainty_score":0.013036668},"labels":[],"label_agreement":null},{"id":"W4387681492","doi":"10.11159/jffhmt.2023.014","title":"Optimization of Powertrain Parameters of a Battery Electric Vehicle for Shuttle Service Usage","year":2023,"lang":"en","type":"article","venue":"Journal of Fluid Flow Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Powertrain; Automotive engineering; Battery (electricity); Electric vehicle; Battery electric vehicle; Service (business); Computer science; Aeronautics; Engineering; Business; Power (physics); Physics; Torque","score_opus":0.017358232341917763,"score_gpt":0.2457100138456483,"score_spread":0.22835178150373053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387681492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84701115,0.0012165158,0.11594946,0.0002971344,0.00008934282,0.00021434641,0.0005525028,0.00044889597,0.034220666],"genre_scores_gemma":[0.9933287,0.0001596708,0.0036405185,0.000011464154,0.000003144097,0.000061852115,0.0002056241,0.000018144108,0.0025708908],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988675,0.000021912037,0.000006488809,0.000019223342,0.000040008523,0.00002557534],"domain_scores_gemma":[0.9998876,0.000035511293,0.000018289744,0.0000063774037,0.000043274133,0.000009061612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023902438,0.00065013615,0.00041121492,0.0005222746,0.0003017681,0.00090105983,0.00039248637,0.00044892626,0.002226269],"category_scores_gemma":[0.0004349515,0.00023659578,0.00046736255,0.0003295367,0.00015677608,0.00040198117,0.0002778452,0.00027409094,0.00041378246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023282666,0.00014306861,0.0034509485,0.00036175255,0.000062186155,0.0002286463,0.00007615981,0.9427544,0.019174872,0.000593351,0.0011348099,0.031786993],"study_design_scores_gemma":[0.000037514852,0.0009556325,0.006196484,0.000035959416,0.00010596006,0.00008431445,0.00021804112,0.97640514,0.011771712,0.00057933526,0.003582821,0.000026953376],"about_ca_topic_score_codex":0.0040896465,"about_ca_topic_score_gemma":0.0049554333,"teacher_disagreement_score":0.0040896465,"about_ca_system_score_codex":0.00042701024,"about_ca_system_score_gemma":0.0004835086,"threshold_uncertainty_score":0.008131683},"labels":[],"label_agreement":null},{"id":"W4387885848","doi":"10.1109/access.2023.3327062","title":"State of Temperature Estimation of Li-Ion Batteries Using 3rd Order Smooth Variable Structure Filter","year":2023,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Control theory (sociology); Battery (electricity); Thermal runaway; State of charge; Extended Kalman filter; Kalman filter; Voltage; Computer science; State of health; Lithium-ion battery; Automotive engineering; Materials science; Engineering; Power (physics); Electrical engineering; Physics; Thermodynamics; Control (management)","score_opus":0.025146208184693025,"score_gpt":0.3113747564203711,"score_spread":0.28622854823567806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387885848","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09427869,0.00034903965,0.90171385,0.00011361904,0.000055510172,0.000027794036,0.00009580164,0.0011038502,0.0022617716],"genre_scores_gemma":[0.96560717,0.00023533957,0.03200976,0.00003366414,0.000018433431,0.000038930903,0.00013642796,0.00002788171,0.0018923986],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987483,0.000018566227,0.000009410755,0.000035784953,0.00004722902,0.000014141141],"domain_scores_gemma":[0.9998221,0.00005947058,0.000026053347,0.000016021104,0.00007113129,0.0000052215537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025306153,0.0003970011,0.0004150522,0.00027485084,0.00021623727,0.0005031264,0.00037571552,0.00050010724,0.00079201703],"category_scores_gemma":[0.0007432392,0.00017276221,0.0003805335,0.00026771575,0.00015174264,0.00051030435,0.0002067254,0.00041609883,0.00025851218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040413367,0.00009030083,0.0065122684,0.0002719362,0.00011002377,0.000109440356,0.00026582496,0.6968592,0.045778908,0.0027165562,0.0015180537,0.24536332],"study_design_scores_gemma":[0.0000053181757,0.000032752192,0.0010655673,0.000004806372,0.000009579976,0.000013751688,0.000007227071,0.9939136,0.004245395,0.00028437655,0.0004106549,0.0000068955937],"about_ca_topic_score_codex":0.006531621,"about_ca_topic_score_gemma":0.00586095,"teacher_disagreement_score":0.006531621,"about_ca_system_score_codex":0.00033197957,"about_ca_system_score_gemma":0.00040913784,"threshold_uncertainty_score":0.012987196},"labels":[],"label_agreement":null},{"id":"W4387951252","doi":"10.1109/ccece58730.2023.10289005","title":"Electric Vehicle Charging Station Infrastructure: A Comprehensive Review of Technologies, Challenges, and Mitigation Strategies","year":2023,"lang":"en","type":"review","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Software deployment; Electric vehicle; Risk analysis (engineering); Computer science; Systems engineering; Business; Power (physics); Engineering","score_opus":0.05493355570286287,"score_gpt":0.3325017868347499,"score_spread":0.27756823113188706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387951252","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00034056188,0.9959752,0.0004892326,0.0003692499,0.00018807416,0.000012631549,0.0000511388,0.000013066367,0.0025609005],"genre_scores_gemma":[0.0015451933,0.9972742,0.00036140907,0.00011092257,0.000094422074,0.000007812543,0.000047734145,0.0000021316487,0.000556152],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99972636,0.00003751162,0.000040859213,0.000042946256,0.00012619415,0.000026138974],"domain_scores_gemma":[0.9994554,0.000273534,0.00007242878,0.000015934816,0.0001602885,0.000022437645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064126484,0.0008989945,0.00095979817,0.0027913328,0.00029087602,0.0012124497,0.0008140043,0.0008863985,0.0038513588],"category_scores_gemma":[0.0008990459,0.0003517344,0.00060223986,0.0030641246,0.00029487335,0.0018109202,0.0006035837,0.00092094386,0.0013549847],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041536627,0.00007722632,0.00032505373,0.04515864,0.000121458266,0.00015894897,0.00011211349,0.0015274992,0.0024101674,0.0130278,0.025420638,0.911619],"study_design_scores_gemma":[0.000006167103,0.00012254619,0.00072161865,0.009878411,0.00019682864,0.0005593533,0.00014341631,0.00030891487,0.00079663197,0.003704243,0.98353493,0.000026936697],"about_ca_topic_score_codex":0.0016207433,"about_ca_topic_score_gemma":0.0028858506,"teacher_disagreement_score":0.0038513588,"about_ca_system_score_codex":0.0005937783,"about_ca_system_score_gemma":0.002011948,"threshold_uncertainty_score":0.01288408},"labels":[],"label_agreement":null},{"id":"W4387951338","doi":"10.1109/ccece58730.2023.10288704","title":"Technology and economic analysis of second-life batteries as stationary energy storage: A review","year":2023,"lang":"en","type":"review","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Energy storage; Economic analysis; Computer science; Process engineering; Environmental science; Environmental economics; Waste management; Engineering; Economics; Thermodynamics; Agricultural economics","score_opus":0.036451215590097334,"score_gpt":0.3365264223062774,"score_spread":0.30007520671618004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387951338","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00048386678,0.9946595,0.0006040027,0.00032546755,0.00021064167,0.00001045414,0.00004391462,0.000006564545,0.003655703],"genre_scores_gemma":[0.0023429699,0.99633706,0.00028920232,0.000095004325,0.00013753724,0.000010627916,0.000033518518,0.0000021510841,0.0007520093],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999734,0.0000377793,0.0000340923,0.000048934733,0.000117655734,0.000027590046],"domain_scores_gemma":[0.9994634,0.0002954713,0.00006568105,0.00001527093,0.00014293376,0.000017277749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006470584,0.0009369088,0.001123374,0.0024929363,0.00031888302,0.0015550768,0.0009793652,0.0011533386,0.0048540714],"category_scores_gemma":[0.0010281345,0.00035640056,0.0009179744,0.0034163455,0.00039553334,0.0021765635,0.0005291969,0.0008687112,0.0016865644],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010075028,0.00016253768,0.0006354626,0.04996632,0.00019642728,0.00047653643,0.00012738956,0.0039711185,0.0035918246,0.046443686,0.035000093,0.85932803],"study_design_scores_gemma":[0.000010031351,0.00019271973,0.000917417,0.00687422,0.00020767286,0.0010888194,0.0001235066,0.00086695893,0.0018687964,0.009294608,0.97851527,0.000039929353],"about_ca_topic_score_codex":0.0013533997,"about_ca_topic_score_gemma":0.001469238,"teacher_disagreement_score":0.0048540714,"about_ca_system_score_codex":0.0007866308,"about_ca_system_score_gemma":0.0013275115,"threshold_uncertainty_score":0.01623851},"labels":[],"label_agreement":null},{"id":"W4387958941","doi":"10.3390/su152115299","title":"Impact of Power Interruption on Buildings and Neighborhoods and Potential Technical and Design Adaptation Methods","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adaptation (eye); Vulnerability (computing); Computer science; Architectural engineering; Risk analysis (engineering); Engineering; Business; Computer security","score_opus":0.033098831346294044,"score_gpt":0.3914413648109547,"score_spread":0.35834253346466066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387958941","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007493785,0.9646082,0.009238422,0.0019730348,0.0005536215,0.00016509667,0.00032004033,0.00012229598,0.015525521],"genre_scores_gemma":[0.056145687,0.93280697,0.007768339,0.0005151839,0.00028996432,0.00022466273,0.00037416606,0.000037157395,0.001837955],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99688894,0.0010943143,0.0004987499,0.00033376037,0.0010332509,0.00015091294],"domain_scores_gemma":[0.99063605,0.006703534,0.0009767244,0.00031265212,0.0012634848,0.000107563275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041392012,0.0010942947,0.0010984731,0.0044157677,0.00054473197,0.0031092595,0.0020172545,0.0011530838,0.0060929917],"category_scores_gemma":[0.011836907,0.00046934612,0.0018984338,0.0061227316,0.00072724186,0.0026401833,0.0012214512,0.0009946527,0.0011463342],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012261543,0.00012633367,0.0036713032,0.07345986,0.00037653232,0.00036802367,0.0011213843,0.0027168759,0.0010600426,0.008615378,0.008236153,0.9001255],"study_design_scores_gemma":[0.00005674,0.00079156103,0.026053144,0.07984203,0.0026399011,0.002448994,0.007196661,0.0034607418,0.0047267014,0.012605499,0.8599919,0.00018614445],"about_ca_topic_score_codex":0.004344479,"about_ca_topic_score_gemma":0.006074159,"teacher_disagreement_score":0.0060929917,"about_ca_system_score_codex":0.0016063696,"about_ca_system_score_gemma":0.0030944413,"threshold_uncertainty_score":0.021890461},"labels":[],"label_agreement":null},{"id":"W4388104230","doi":"10.4271/2023-01-1607","title":"Online Identification of Vehicle Driving Conditions Using Machine-Learned Clusters","year":2023,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Powertrain; Driving cycle; Controller (irrigation); Cluster analysis; Identification (biology); Computer science; Electric vehicle; Automotive engineering; Engineering; Control engineering; Artificial intelligence; Torque; Power (physics)","score_opus":0.0270058363376905,"score_gpt":0.31130695473762837,"score_spread":0.2843011183999379,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388104230","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32572865,0.00016893339,0.66495955,0.00013747723,0.00008094049,0.00015618926,0.00060389517,0.0053809606,0.0027835292],"genre_scores_gemma":[0.9415884,0.00003241217,0.0560773,0.000025257452,0.00001694168,0.000051377996,0.00079022034,0.00008548667,0.0013326304],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956006,0.000040285697,0.00001758261,0.00022430593,0.000098583,0.00005916218],"domain_scores_gemma":[0.99908876,0.00023690467,0.00012891516,0.00015061391,0.00033889298,0.000056020595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036654552,0.0009110985,0.0006001367,0.0011496592,0.0004786699,0.00075796543,0.00116014,0.00056643906,0.000869558],"category_scores_gemma":[0.002227421,0.0003934925,0.00046162962,0.00068782654,0.00030089592,0.0006863726,0.00060959335,0.0008515648,0.0006199034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032962745,0.0002941819,0.0100019025,0.00006773162,0.000111600406,0.00007971288,0.00023340226,0.7104994,0.011910755,0.0011579705,0.0024645599,0.2628491],"study_design_scores_gemma":[0.000003098927,0.0000136334465,0.001531301,0.0000016447937,0.0000032101054,0.0000057907123,0.00001915269,0.99630034,0.0015627523,0.00037681637,0.00017536145,0.0000068739],"about_ca_topic_score_codex":0.023992939,"about_ca_topic_score_gemma":0.026354583,"teacher_disagreement_score":0.023992939,"about_ca_system_score_codex":0.000966026,"about_ca_system_score_gemma":0.0010802514,"threshold_uncertainty_score":0.047706544},"labels":[],"label_agreement":null},{"id":"W4388192790","doi":"10.1149/1945-7111/ad07ae","title":"Clearing the Smoke: Revisiting the Liquid Phase Potential in Newman’s Battery Model","year":2023,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Université du Québec à Montréal","keywords":"Battery (electricity); Electrolyte; Phase (matter); Chemistry; Lithium (medication); Current (fluid); Clearing; Chemical physics; Thermodynamics; Physics; Physical chemistry; Power (physics); Economics; Psychology; Organic chemistry","score_opus":0.018269084499095915,"score_gpt":0.28593870900178975,"score_spread":0.2676696245026938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388192790","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039884184,0.005117022,0.7564767,0.010836207,0.0019130892,0.00012663839,0.0005612724,0.00029075443,0.18479413],"genre_scores_gemma":[0.7303156,0.0073359003,0.12460746,0.0036255994,0.0009072343,0.00050122745,0.00041175424,0.0005948676,0.13170034],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996327,0.00012117248,0.000016711429,0.00005155983,0.00014981095,0.000028029224],"domain_scores_gemma":[0.9996929,0.00013567157,0.00002062951,0.00003852332,0.00008779971,0.000024456316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076106866,0.00060895545,0.0007876948,0.0006547787,0.00054338033,0.001474673,0.0030678338,0.0020219993,0.0059233573],"category_scores_gemma":[0.0022547825,0.00022745937,0.00086347,0.00055977446,0.0015557011,0.0053491485,0.0020968604,0.0021609745,0.002568193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034732962,0.000022443812,0.00017584099,0.00010659022,0.000009477478,0.00021764982,0.00018345843,0.048684653,0.0025525615,0.93260306,0.0034871048,0.01192235],"study_design_scores_gemma":[0.000016886695,0.000060734306,0.000121645804,0.00004865537,0.000010596286,0.0001922028,0.000084381,0.4186665,0.0012569106,0.54881287,0.030691413,0.00003725421],"about_ca_topic_score_codex":0.0024206787,"about_ca_topic_score_gemma":0.0027340788,"teacher_disagreement_score":0.0059233573,"about_ca_system_score_codex":0.0009835566,"about_ca_system_score_gemma":0.00084960135,"threshold_uncertainty_score":0.019815624},"labels":[],"label_agreement":null},{"id":"W4388208337","doi":"10.1109/ccece58730.2023.10289032","title":"Battery Energy Storage and Their Ancillary Services with Renewable Energy: A Review","year":2023,"lang":"en","type":"review","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Renewable energy; Energy storage; Computer science; Battery (electricity); Battery storage; Electrical engineering; Environmental economics; Automotive engineering; Engineering; Power (physics); Physics","score_opus":0.0318717927206768,"score_gpt":0.2764286201329121,"score_spread":0.24455682741223528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388208337","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00026409532,0.99772257,0.00020048744,0.00012844725,0.00012821642,0.000009031253,0.00003733019,0.0000068290296,0.0015030451],"genre_scores_gemma":[0.001716709,0.9971533,0.0002695324,0.00008496053,0.00010366843,0.000008541797,0.000053841388,0.0000020129776,0.000607399],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997483,0.00003312293,0.000047625927,0.00004444333,0.000105359555,0.000021129163],"domain_scores_gemma":[0.99945194,0.0002971031,0.00007568326,0.000014324782,0.0001418938,0.000019069577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051423995,0.000831266,0.0011307934,0.0023468102,0.00027047814,0.0012478206,0.0008355734,0.0008668879,0.005883347],"category_scores_gemma":[0.0008079166,0.00035590044,0.0007711176,0.003685548,0.00023746585,0.0016320414,0.00053963804,0.0007139447,0.0017950287],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007791521,0.00009719415,0.00032658907,0.05240859,0.00015514113,0.0002041136,0.00007057793,0.0009383685,0.00211177,0.0045607816,0.018359069,0.9206899],"study_design_scores_gemma":[0.000013869899,0.0001843532,0.001018908,0.009648322,0.00035875928,0.0010739663,0.00010550682,0.00040205312,0.0011843975,0.0023287209,0.98364764,0.000033551925],"about_ca_topic_score_codex":0.0011040148,"about_ca_topic_score_gemma":0.0016781922,"teacher_disagreement_score":0.005883347,"about_ca_system_score_codex":0.00034566043,"about_ca_system_score_gemma":0.0010927374,"threshold_uncertainty_score":0.019681692},"labels":[],"label_agreement":null},{"id":"W4388280720","doi":"10.1002/advs.202305065","title":"Entropy and Isokinetic Temperature in Fast Ion Transport","year":2023,"lang":"en","type":"article","venue":"Advanced Science","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Regroupement Québécois sur les Matériaux de Pointe","funders":"Soochow University; National Natural Science Foundation of China; Shanghai Jiao Tong University; Natural Science Foundation of Shanghai; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Ion; Materials science; Entropy (arrow of time); Statistical physics; Thermodynamics; Physics","score_opus":0.007284128093254528,"score_gpt":0.25585018386921504,"score_spread":0.24856605577596053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388280720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6856076,0.035686955,0.25482643,0.0020327007,0.0010014892,0.00007664027,0.00021953293,0.00039029898,0.020158213],"genre_scores_gemma":[0.9856603,0.0038859805,0.0072780363,0.00013147996,0.00018793982,0.000042155014,0.000059233444,0.00007659568,0.0026782902],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99950624,0.00011634614,0.000019779096,0.000121446006,0.00018546956,0.000050730425],"domain_scores_gemma":[0.9992811,0.0004396268,0.000106355146,0.00006678571,0.00007648393,0.000029673987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068586477,0.00041686313,0.00041404093,0.0007083518,0.00034336594,0.0007674485,0.0004906057,0.00064641365,0.00077027257],"category_scores_gemma":[0.0017727392,0.0003157161,0.00029451904,0.00032160422,0.0023571374,0.0019535348,0.0009345373,0.0012430684,0.00032805465],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035443492,0.000111523,0.0025956235,0.0007671742,0.000042565724,0.00050318753,0.0007469616,0.04887588,0.5002738,0.39359802,0.0010038558,0.051127072],"study_design_scores_gemma":[0.00003747745,0.00043809792,0.0065152105,0.00013432778,0.000043550746,0.0011717178,0.000245103,0.3594886,0.3403641,0.2802434,0.011089968,0.00022841101],"about_ca_topic_score_codex":0.00024749158,"about_ca_topic_score_gemma":0.00019963944,"teacher_disagreement_score":0.00077027257,"about_ca_system_score_codex":0.000561672,"about_ca_system_score_gemma":0.0002976731,"threshold_uncertainty_score":0.004075229},"labels":[],"label_agreement":null},{"id":"W4388486465","doi":"10.1109/tte.2023.3331529","title":"A Framework for Normalizing Physical Features of Li-Ion Batteries to Form a Generic Health Estimation Model","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Battery (electricity); State of health; Normalization (sociology); Computer science; Dimensionless quantity; Power (physics); Ion; Reliability engineering; Engineering; Chemistry","score_opus":0.03419896709752333,"score_gpt":0.3253953090429128,"score_spread":0.29119634194538946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388486465","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0052814567,0.00019064799,0.9930234,0.00007204039,0.000028669849,0.00003465005,0.00024041535,0.00047922137,0.00064948184],"genre_scores_gemma":[0.4488761,0.0010555862,0.54156405,0.00020153324,0.00018110467,0.00056819397,0.0026079197,0.00021390343,0.0047315713],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994299,0.00009793963,0.00004298674,0.00020167982,0.0001853804,0.000042081272],"domain_scores_gemma":[0.99952245,0.0001340218,0.000078150966,0.000071393406,0.00017637998,0.000017697417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092293834,0.0008834128,0.00072889775,0.0011173089,0.0002665841,0.00084733113,0.001546709,0.0006261363,0.001264964],"category_scores_gemma":[0.002899833,0.0002647697,0.0010882143,0.0010661742,0.0005466945,0.0017259718,0.00087008224,0.0010119717,0.00052369107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012397823,0.00011304031,0.005598266,0.0002192758,0.00012698233,0.0001864765,0.00016907314,0.6240216,0.012964018,0.04183681,0.0048281085,0.3098124],"study_design_scores_gemma":[0.0000059473055,0.000058590147,0.0019071196,0.000017740447,0.000027517379,0.00010606513,0.000023555207,0.9740718,0.0027245234,0.016719392,0.004309834,0.000027943785],"about_ca_topic_score_codex":0.005179855,"about_ca_topic_score_gemma":0.004410817,"teacher_disagreement_score":0.005179855,"about_ca_system_score_codex":0.0006897026,"about_ca_system_score_gemma":0.00089164695,"threshold_uncertainty_score":0.010299385},"labels":[],"label_agreement":null},{"id":"W4388507439","doi":"10.1016/j.jpowsour.2023.233788","title":"A novel positional encoded attention-based Long short-term memory network for state of charge estimation of lithium-ion battery","year":2023,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Science Foundation of Sichuan Province; National Natural Science Foundation of China","keywords":"Computer science; State of charge; Battery (electricity); Encoding (memory); Artificial intelligence; Data mining; Algorithm; Power (physics)","score_opus":0.018882877623092067,"score_gpt":0.27806036123818323,"score_spread":0.2591774836150912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388507439","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25208688,0.0077475756,0.7228894,0.0011052825,0.001000382,0.00014307762,0.00081914203,0.0029002635,0.011307924],"genre_scores_gemma":[0.96452403,0.00076824694,0.028046267,0.00038634174,0.00016602753,0.00005855022,0.0004657341,0.000027269596,0.005557568],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998437,0.000014391369,0.000009751776,0.0000519403,0.00003966701,0.00004042365],"domain_scores_gemma":[0.99979585,0.0000589862,0.000019923995,0.000012728491,0.00009741164,0.000015171174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002612558,0.0005943063,0.00062722096,0.00053053227,0.00041949874,0.00050885713,0.0016150753,0.0007871932,0.0018456507],"category_scores_gemma":[0.0006461722,0.0002252099,0.00034746635,0.0006494772,0.00020723873,0.0009538788,0.0005675458,0.00053766725,0.00033298213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005960788,0.0004430871,0.0042297514,0.00020365074,0.00015851202,0.00034233925,0.00009977501,0.12681645,0.04134763,0.0028322372,0.008379918,0.81455064],"study_design_scores_gemma":[0.00001270771,0.00009055444,0.0009768711,0.000009037607,0.00004999732,0.000060036677,0.000014762572,0.9912027,0.0058664363,0.0010354659,0.0006684584,0.00001288242],"about_ca_topic_score_codex":0.015471875,"about_ca_topic_score_gemma":0.024700824,"teacher_disagreement_score":0.015471875,"about_ca_system_score_codex":0.00065055606,"about_ca_system_score_gemma":0.0006917413,"threshold_uncertainty_score":0.030763626},"labels":[],"label_agreement":null},{"id":"W4388705380","doi":"10.14447/jnmes.v26i4.a04","title":"Hybrid Optimization Algorithms for Maximum Power Point Tracking based Incremental Conductance Techniques with Solar Cell","year":2023,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tracking (education); Conductance; Solar cell; Power (physics); Computer science; Point (geometry); Maximum power point tracking; Algorithm; Maximum power principle; Materials science; Mathematics; Physics; Optoelectronics; Condensed matter physics","score_opus":0.019842629819874547,"score_gpt":0.26795557148175075,"score_spread":0.2481129416618762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388705380","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012198453,0.0004872127,0.98200446,0.00011096199,0.0000445254,0.000045146593,0.000021253318,0.00032670196,0.004761301],"genre_scores_gemma":[0.7110521,0.00062405743,0.27918968,0.00011345167,0.00005337818,0.0003318604,0.00012234887,0.00010547211,0.008407619],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986064,0.000040542593,0.000008378133,0.000023217837,0.000051195344,0.000015971256],"domain_scores_gemma":[0.9998336,0.00008362704,0.000020094123,0.000008887323,0.00004749333,0.0000063111975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030716474,0.00057521556,0.0007194853,0.00036426107,0.00031304918,0.0006806945,0.0006642476,0.0006689015,0.0028589447],"category_scores_gemma":[0.00064640876,0.00028205503,0.0004618854,0.00053211796,0.00025270492,0.0005324023,0.00044045385,0.0006098232,0.0005416669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083728635,0.000061707484,0.0004387586,0.00014486423,0.000058515874,0.000067391,0.000118107055,0.84347695,0.005388047,0.0070711896,0.0016750072,0.14141569],"study_design_scores_gemma":[0.000007537517,0.000026363825,0.00006749151,0.000005146467,0.0000040305003,0.000010619501,0.000005920425,0.998151,0.0003352956,0.000682246,0.00070131867,0.0000029035089],"about_ca_topic_score_codex":0.0028986891,"about_ca_topic_score_gemma":0.002987244,"teacher_disagreement_score":0.0028986891,"about_ca_system_score_codex":0.00034531674,"about_ca_system_score_gemma":0.0004590899,"threshold_uncertainty_score":0.009564102},"labels":[],"label_agreement":null},{"id":"W4388705448","doi":"10.14447/jnmes.v26i4.a10","title":"Tuning the Particle Size Distribution at Cathode for Enhanced Li-Ion Battery Performance","year":2023,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cathode; Battery (electricity); Ion; Materials science; Particle (ecology); Chemistry; Electrical engineering; Physics; Engineering; Thermodynamics; Biology; Power (physics)","score_opus":0.021390640075873397,"score_gpt":0.2723659040088667,"score_spread":0.2509752639329933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388705448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9760968,0.00088584196,0.0200262,0.00010922562,0.000041437565,0.00003564964,0.00012628111,0.00014601584,0.0025325757],"genre_scores_gemma":[0.98966426,0.00040826856,0.009085333,0.000026276659,0.000008293359,0.000026038131,0.000065654975,0.000035873898,0.00068006065],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990535,0.000010699191,0.000009082157,0.000033371914,0.00003024491,0.000011205345],"domain_scores_gemma":[0.99982506,0.00006127915,0.00003119314,0.0000165444,0.000052168132,0.000013734888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002617168,0.00029114957,0.00029424232,0.00020648645,0.0002019832,0.0005918014,0.0003311416,0.0003234368,0.000727115],"category_scores_gemma":[0.0006847669,0.00014407319,0.00011488866,0.00016255635,0.000182412,0.0005024876,0.00023451631,0.00023298342,0.00031065496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007328787,0.000031047457,0.00043215012,0.000035727637,0.0000024319015,0.00003429974,0.000015479165,0.0006415459,0.9945257,0.0003054183,0.000048734328,0.0038541518],"study_design_scores_gemma":[0.000009843751,0.000111038426,0.0012905749,0.0000034295426,0.000006707179,0.000077899276,0.00002058994,0.0066525443,0.99098915,0.00010885005,0.00072204525,0.00000734952],"about_ca_topic_score_codex":0.0004296016,"about_ca_topic_score_gemma":0.0011782865,"teacher_disagreement_score":0.000727115,"about_ca_system_score_codex":0.00029911316,"about_ca_system_score_gemma":0.00020780184,"threshold_uncertainty_score":0.0024324656},"labels":[],"label_agreement":null},{"id":"W4388720369","doi":"10.1109/iecon51785.2023.10312304","title":"Critical Understanding of Temperature Gradient During Fast Charging of Lithium-ion Batteries at Low Temperatures","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); Materials science; Internal resistance; Lithium-ion battery; Lithium (medication); Trickle charging; Manganese; Ion; Depth of discharge; Nuclear engineering; Chemistry; Thermodynamics; Metallurgy; Power (physics)","score_opus":0.02154213140060603,"score_gpt":0.2701198090081204,"score_spread":0.24857767760751434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388720369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96287,0.004693259,0.026254395,0.00046158812,0.00010805517,0.000082358776,0.00021720468,0.00018816564,0.0051251147],"genre_scores_gemma":[0.996962,0.00086705934,0.0016442797,0.00003617284,0.000014460838,0.00001837817,0.000061451785,0.000012212835,0.00038400065],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998516,0.000014682552,0.000008638954,0.000031321284,0.000071987546,0.000021797885],"domain_scores_gemma":[0.9997193,0.000110345194,0.00003922034,0.00002445981,0.0000963822,0.000010287554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003017428,0.00021928812,0.00029138173,0.00016462312,0.00026938308,0.0004903848,0.00039685145,0.0002940146,0.0009840169],"category_scores_gemma":[0.0007188274,0.0001473657,0.00013167232,0.0001531509,0.0004108231,0.00098673,0.00020252085,0.0004893316,0.00021974459],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039057538,0.00007298248,0.004695425,0.0005774659,0.000010260823,0.0003173076,0.0004278798,0.0035788135,0.96295655,0.0013940167,0.00032874846,0.02525011],"study_design_scores_gemma":[0.000014039486,0.00038793392,0.018279647,0.0000466427,0.00002675973,0.00039917137,0.00050054106,0.027587792,0.94749165,0.001073086,0.0041534817,0.000039311646],"about_ca_topic_score_codex":0.00079006585,"about_ca_topic_score_gemma":0.0009113446,"teacher_disagreement_score":0.0009840169,"about_ca_system_score_codex":0.0003655341,"about_ca_system_score_gemma":0.00030406867,"threshold_uncertainty_score":0.0032918453},"labels":[],"label_agreement":null},{"id":"W4388743043","doi":"10.1016/j.est.2023.109695","title":"MSCC-DRL: Multi-Stage constant current based on deep reinforcement learning for fast charging of lithium ion battery","year":2023,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Reinforcement learning; Constant current; Battery (electricity); Lithium-ion battery; Computer science; Cathode; Robustness (evolution); Simulation; Mathematical optimization; Electrical engineering; Engineering; Artificial intelligence; Voltage; Power (physics); Mathematics; Chemistry","score_opus":0.04008182811194702,"score_gpt":0.303136932422653,"score_spread":0.263055104310706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388743043","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14952637,0.0022803082,0.8189629,0.0008013854,0.00052119896,0.00022298539,0.00044574047,0.00869236,0.01854675],"genre_scores_gemma":[0.9358539,0.00015978803,0.05702061,0.00029906788,0.00003708848,0.000097295386,0.00024064217,0.000099548364,0.006192111],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998827,0.000013234112,0.0000057282095,0.000029122864,0.00003938802,0.000029868248],"domain_scores_gemma":[0.9998011,0.000060415863,0.000014705184,0.000017506125,0.00008364443,0.000022646509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032160972,0.0005626563,0.00057354366,0.00026574946,0.00030258342,0.0004995934,0.0014353695,0.0007935782,0.004081992],"category_scores_gemma":[0.0005666059,0.00021858462,0.00032653945,0.00022691092,0.0002662186,0.0005707018,0.0006168181,0.0010648035,0.0005281135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003924217,0.00036179792,0.0021376382,0.00023459455,0.000091364105,0.00021459277,0.000067998815,0.6423667,0.012768338,0.0034803061,0.010925674,0.32695854],"study_design_scores_gemma":[0.000009697909,0.000035721572,0.000084764695,0.0000031114373,0.000004153161,0.000010098888,0.0000029254934,0.9980459,0.0011648085,0.00027649195,0.00035892386,0.0000034562709],"about_ca_topic_score_codex":0.014096458,"about_ca_topic_score_gemma":0.022940293,"teacher_disagreement_score":0.014096458,"about_ca_system_score_codex":0.0007593662,"about_ca_system_score_gemma":0.00096499664,"threshold_uncertainty_score":0.028028846},"labels":[],"label_agreement":null},{"id":"W4388744182","doi":"10.4271/14-13-03-0017","title":"Battery Thermal Runaway Preventive Time Delay Strategy Using Different Melting Point Phase Change Materials","year":2023,"lang":"en","type":"article","venue":"SAE International Journal of Electrified Vehicles","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Overheating (electricity); Thermal runaway; Phase-change material; Battery (electricity); Lithium iron phosphate; Nuclear engineering; Melting point; Materials science; Trickle charging; Thermal; Automotive engineering; Lead–acid battery; Lithium-ion battery; Environmental science; Electrical engineering; Thermodynamics; Composite material; Engineering; Physics","score_opus":0.045583978222739054,"score_gpt":0.33088500366609674,"score_spread":0.28530102544335767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388744182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96716756,0.0019446438,0.026944535,0.00011498252,0.00008531479,0.00008610011,0.00008149167,0.00060115935,0.0029741288],"genre_scores_gemma":[0.994042,0.0003326603,0.004763499,0.00002850779,0.000007060306,0.000029363593,0.00004009235,0.000016516504,0.00074027403],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999181,0.000003569905,0.000006110915,0.000022960963,0.000025662459,0.000023675415],"domain_scores_gemma":[0.9998777,0.000013319309,0.000037535443,0.00001308629,0.000040859202,0.000017400238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000112536734,0.0003222257,0.00029518612,0.0002774677,0.00018236764,0.00030394056,0.0006401562,0.0002427505,0.0009470436],"category_scores_gemma":[0.0002477182,0.000121937395,0.00024445972,0.0002236135,0.00013081857,0.0006600482,0.00027175376,0.00029366385,0.00024010224],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008287449,0.00022506759,0.0009612308,0.00024684917,0.000021678614,0.0002362245,0.00007353698,0.006218285,0.9397904,0.0005658835,0.00032696122,0.05050511],"study_design_scores_gemma":[0.000035078647,0.0009918809,0.001168854,0.000007804019,0.000037073478,0.00012601922,0.00004821773,0.020141518,0.97547626,0.00014250043,0.0018096443,0.000015072871],"about_ca_topic_score_codex":0.00040510256,"about_ca_topic_score_gemma":0.00077391026,"teacher_disagreement_score":0.0009470436,"about_ca_system_score_codex":0.0002624214,"about_ca_system_score_gemma":0.0002473602,"threshold_uncertainty_score":0.0031682253},"labels":[],"label_agreement":null},{"id":"W4388847383","doi":"10.1080/15325008.2023.2280920","title":"PI Controller Based Power Factor Correction Circuit for Plug-in Hybrid Electric Vehicle Using Solar Charging Module","year":2023,"lang":"en","type":"article","venue":"Electric Power Components and Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nutrasource","funders":"","keywords":"Plug-in; Electrical engineering; Controller (irrigation); Electric vehicle; Power (physics); Engineering; Automotive engineering; Computer science; Electronic engineering; Physics","score_opus":0.03237916773324754,"score_gpt":0.2543014872997696,"score_spread":0.22192231956652206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388847383","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05559138,0.0009403471,0.87420183,0.00041363438,0.0007397334,0.00046658228,0.00035026774,0.01834711,0.048949078],"genre_scores_gemma":[0.9408541,0.00032868478,0.031125024,0.00015962818,0.00005845651,0.00015976312,0.00021831699,0.00014540552,0.026950603],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998561,0.000013350955,0.000009584479,0.000032303993,0.000071899914,0.000016791186],"domain_scores_gemma":[0.99991953,0.000011949294,0.00000881147,0.000008501722,0.00004724474,0.0000039903503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011545679,0.0004048242,0.00028492158,0.00031236946,0.0003824915,0.00058906677,0.0009628958,0.00032763928,0.00883921],"category_scores_gemma":[0.00020720217,0.00016175759,0.00021823541,0.00023347509,0.00011319249,0.000325135,0.0001951273,0.0004689828,0.0013779222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080047833,0.00042165958,0.002532951,0.0012090263,0.00017805984,0.00086074835,0.00031101785,0.07386452,0.16344725,0.00845138,0.026546841,0.721376],"study_design_scores_gemma":[0.0002605271,0.0014788412,0.003705645,0.00012603062,0.00022943883,0.0014238711,0.00012820897,0.6709869,0.21526702,0.0043991087,0.10189976,0.00009455097],"about_ca_topic_score_codex":0.0023053228,"about_ca_topic_score_gemma":0.0030818265,"teacher_disagreement_score":0.00883921,"about_ca_system_score_codex":0.00029808033,"about_ca_system_score_gemma":0.00038074944,"threshold_uncertainty_score":0.029570162},"labels":[],"label_agreement":null},{"id":"W4388888499","doi":"10.1016/j.est.2023.109799","title":"Probabilistic lithium-ion battery state-of-health prediction using convolutional neural networks and Gaussian process regression","year":2023,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Probabilistic logic; Kriging; State of health; Computer science; Context (archaeology); Battery (electricity); State of charge; Convolutional neural network; Gaussian process; Artificial neural network; Artificial intelligence; Machine learning; Engineering; Gaussian; Power (physics)","score_opus":0.025601758775728983,"score_gpt":0.2879966974858644,"score_spread":0.2623949387101354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388888499","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4751068,0.0015327126,0.5156529,0.0007373421,0.00017541167,0.000044629945,0.001405756,0.0018832381,0.0034612096],"genre_scores_gemma":[0.99107224,0.00015388733,0.0067425524,0.000042944597,0.0000318529,0.000012305064,0.00046864938,0.000016019409,0.0014594821],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987364,0.000017111593,0.0000074468403,0.000044382487,0.000029601446,0.000027846574],"domain_scores_gemma":[0.9995167,0.00025995696,0.00006264921,0.00003081678,0.00011259708,0.000017275985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043801303,0.000532445,0.0005486672,0.0004915705,0.0001733356,0.00048546164,0.00071287114,0.00057423423,0.0007855713],"category_scores_gemma":[0.0016934372,0.00029073018,0.0005151778,0.0004660977,0.00023860812,0.00065047515,0.00040180917,0.00073365186,0.00032996328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032732388,0.00013872658,0.012978101,0.00005995721,0.000105191364,0.00011291565,0.000032165495,0.894935,0.0027494482,0.0017206214,0.0021318444,0.08470874],"study_design_scores_gemma":[0.0000012404188,0.000004285696,0.00059789844,0.0000012798538,0.0000037775603,0.0000051646475,0.0000010616918,0.9987429,0.00025542537,0.0003489457,0.000036417954,0.0000016912155],"about_ca_topic_score_codex":0.01572833,"about_ca_topic_score_gemma":0.020958168,"teacher_disagreement_score":0.01572833,"about_ca_system_score_codex":0.00064538716,"about_ca_system_score_gemma":0.0005384755,"threshold_uncertainty_score":0.031273544},"labels":[],"label_agreement":null},{"id":"W4389037497","doi":"10.1002/smll.202304886","title":"Dressing Paraffin Wax/Boron Nitride Phase Change Composite with a Polyethylene “Underwear” for the Reliable Battery Safety Management","year":2023,"lang":"en","type":"article","venue":"Small","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"State Key Laboratory of Polymer Materials Engineering; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Materials science; Composite material; Boron nitride; Polyethylene; Battery (electricity); Composite number; Temperature cycling; Paraffin wax; Polypropylene; Phase-change material; Thermal conductivity; Ultimate tensile strength; Wax; Thermal","score_opus":0.057730673076336454,"score_gpt":0.29652806620170286,"score_spread":0.2387973931253664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389037497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9751819,0.0012559368,0.01950436,0.00008649177,0.00017074507,0.000038987797,0.0001163084,0.0002424683,0.003402784],"genre_scores_gemma":[0.9889924,0.00040240109,0.007828805,0.000045970133,0.000012481869,0.000013390453,0.00004320035,0.00002453897,0.0026367807],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99995136,0.000003453918,0.0000032854555,0.000012705886,0.000019771494,0.000009320263],"domain_scores_gemma":[0.9999349,0.000005378347,0.000022515776,0.000009019011,0.000016750027,0.000011341787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000073322146,0.00028460802,0.0000959387,0.0002363356,0.00012104259,0.00015915954,0.00013316415,0.00023991434,0.0012334648],"category_scores_gemma":[0.00009586481,0.000116652074,0.00015747228,0.00012347744,0.00011780849,0.00030595562,0.00018095822,0.00020744036,0.0003121411],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031255204,0.000010032794,0.000092305,0.000046161946,0.0000029084986,0.000067942114,0.000010449402,0.00012019729,0.9961981,0.00010247161,0.00006241822,0.00325576],"study_design_scores_gemma":[0.000005183554,0.00014434654,0.00074982084,0.0000075050184,0.000009753316,0.00015571648,0.000022639237,0.001478968,0.9947359,0.000037473845,0.0026470674,0.000005590377],"about_ca_topic_score_codex":0.00015946123,"about_ca_topic_score_gemma":0.00046628437,"teacher_disagreement_score":0.0012334648,"about_ca_system_score_codex":0.00008514295,"about_ca_system_score_gemma":0.0000879633,"threshold_uncertainty_score":0.0041263103},"labels":[],"label_agreement":null},{"id":"W4389038934","doi":"10.1080/19236026.2023.2258716","title":"CanmetMINING battery electric vehicle field test series: Relay utility vehicle","year":2023,"lang":"en","type":"article","venue":"CIM Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Environmental science; Automotive engineering; Battery (electricity); Internal combustion engine; Energy consumption; Electric vehicle; Work (physics); State of charge; Engineering; Electrical engineering; Physics; Mechanical engineering","score_opus":0.021020448301138403,"score_gpt":0.267485043526349,"score_spread":0.24646459522521058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389038934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98858196,0.000055447428,0.0028977415,0.000048280217,0.000029260736,0.0002153199,0.0014181362,0.00022123751,0.006532681],"genre_scores_gemma":[0.9901417,0.00006152051,0.0018169751,0.00002771535,0.0000029363903,0.00009559512,0.0017767189,0.000022357817,0.006054554],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999696,0.000025766984,0.000011236425,0.0000490083,0.00016828626,0.000049791746],"domain_scores_gemma":[0.9995334,0.000050547085,0.00001693658,0.000033232933,0.0003346729,0.000031258238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023516564,0.0005417854,0.00032950434,0.00056189444,0.0006255354,0.0002624194,0.00063575903,0.00045487145,0.003350793],"category_scores_gemma":[0.0005233625,0.00013897006,0.00028889993,0.0004997091,0.00031636513,0.00037060984,0.00022731954,0.0003388602,0.00061822],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006014416,0.004789311,0.23368777,0.0011061196,0.00028542985,0.002291859,0.0021569666,0.048846032,0.45899454,0.0024587563,0.028630327,0.21073836],"study_design_scores_gemma":[0.0007373271,0.020419734,0.34495276,0.00010577463,0.00019336604,0.0013552058,0.0031050625,0.056119137,0.52906066,0.0008899726,0.042915195,0.00014577269],"about_ca_topic_score_codex":0.062303316,"about_ca_topic_score_gemma":0.13213499,"teacher_disagreement_score":0.062303316,"about_ca_system_score_codex":0.0010280464,"about_ca_system_score_gemma":0.00093334756,"threshold_uncertainty_score":0.12388134},"labels":[],"label_agreement":null},{"id":"W4389076350","doi":"10.1109/tii.2023.3331526","title":"Conjugate-Gradient Based Control in a Grid-Integrated PV With 24/7 Distortion-Free Charging for Bidirectional EV Charger","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Photovoltaic system; Grid; Renewable energy; Electrical engineering; Electric vehicle; Engineering; Distortion (music); Computer science; Automotive engineering; Physics; Power (physics)","score_opus":0.04005860411649398,"score_gpt":0.2535545968865415,"score_spread":0.2134959927700475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389076350","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18948402,0.00028192543,0.794319,0.00022346356,0.000113498376,0.00013523755,0.000052985502,0.0011916345,0.014198201],"genre_scores_gemma":[0.97113615,0.000054198914,0.025717454,0.00003192979,0.000009976928,0.00003765828,0.0000144676405,0.000020605457,0.0029776206],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998405,0.000036780417,0.0000076423585,0.00003380051,0.00006673731,0.000014578498],"domain_scores_gemma":[0.99992883,0.000014136282,0.000013139371,0.000008593325,0.00003056397,0.0000048459265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020948604,0.00025805167,0.0002737274,0.00011821507,0.00024362671,0.0004938669,0.00048384882,0.00023164049,0.0015433634],"category_scores_gemma":[0.0002022993,0.000097663884,0.00017723048,0.00016795627,0.00025119112,0.00018207819,0.000227791,0.0002567843,0.00037816714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010855402,0.0004569739,0.00254726,0.0003994184,0.00012885497,0.00044966955,0.00037488085,0.31313345,0.28355142,0.014256225,0.004090789,0.37952548],"study_design_scores_gemma":[0.0000457296,0.0003061896,0.00074732833,0.000008245529,0.00002094768,0.00008224642,0.000012648155,0.96348506,0.03199354,0.0007145952,0.00256785,0.000015550968],"about_ca_topic_score_codex":0.0016339242,"about_ca_topic_score_gemma":0.001730769,"teacher_disagreement_score":0.0016339242,"about_ca_system_score_codex":0.00026250572,"about_ca_system_score_gemma":0.0002966676,"threshold_uncertainty_score":0.0051630735},"labels":[],"label_agreement":null},{"id":"W4389159730","doi":"10.1109/mele.2023.3320509","title":"Zero-Emission Marine Vessels: Multidomain Modeling and Real-Time Hardware-in-the-Loop Emulation on Adaptive Compute Acceleration Platform: Zero-emission marine vessels: modeling and real-time emulation","year":2023,"lang":"en","type":"article","venue":"IEEE Electrification Magazine","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Emulation; Acceleration; Transient (computer programming); Proton exchange membrane fuel cell; Zero emission; Hardware-in-the-loop simulation; Simulation; Converters; Computer science; Engineering; Voltage; Electrical engineering; Fuel cells; Physics","score_opus":0.04053067821043184,"score_gpt":0.2864858421839395,"score_spread":0.2459551639735077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389159730","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1562928,0.00010348175,0.8283714,0.00017825357,0.000043237244,0.000086219414,0.00013754757,0.0015689972,0.013218034],"genre_scores_gemma":[0.9482564,0.000099970304,0.048445933,0.000030614476,0.000008515265,0.00008906335,0.00012832611,0.00009697496,0.00284426],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999318,0.000016584161,0.0000029024986,0.000010773749,0.000028959914,0.000009048732],"domain_scores_gemma":[0.99992764,0.000019777399,0.000011123377,0.000016340093,0.000018439521,0.0000067005017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014853281,0.0003507807,0.00019647654,0.00013071108,0.00016286309,0.00037682801,0.00059380376,0.0002795916,0.0018358198],"category_scores_gemma":[0.00030324765,0.000114367715,0.0002564166,0.000099714045,0.00025008968,0.00042939323,0.00038038407,0.0005670046,0.000263744],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043233027,0.000023148055,0.0007932672,0.00003525644,0.000010088815,0.0000640606,0.000052065945,0.9701826,0.010924998,0.0047160718,0.00047653596,0.012678696],"study_design_scores_gemma":[0.000004473932,0.000020239257,0.00015183962,0.0000020749324,0.0000021248065,0.0000076610395,0.0000059503986,0.9959103,0.0027472954,0.00029027573,0.0008554996,0.0000023217451],"about_ca_topic_score_codex":0.0037593334,"about_ca_topic_score_gemma":0.0022497687,"teacher_disagreement_score":0.0037593334,"about_ca_system_score_codex":0.0002707493,"about_ca_system_score_gemma":0.00040379743,"threshold_uncertainty_score":0.0074748993},"labels":[],"label_agreement":null},{"id":"W4389161806","doi":"10.1016/j.enconman.2023.117927","title":"A novel compact thermal management model for performance evaluation of tesla-like lithium-ion battery packs","year":2023,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Thermal runaway; Battery (electricity); Computational fluid dynamics; Thermal management of electronic devices and systems; Lithium-ion battery; Automotive engineering; Coolant; Nuclear engineering; Thermal; Lithium (medication); Heat generation; Materials science; Simulation; Computer science; Mechanical engineering; Engineering; Aerospace engineering; Thermodynamics; Physics; Power (physics)","score_opus":0.03823072069541678,"score_gpt":0.27272331566459124,"score_spread":0.23449259496917446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389161806","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14717719,0.0008591953,0.82003075,0.00023609572,0.00010635854,0.00012183652,0.000430995,0.0019693512,0.029068286],"genre_scores_gemma":[0.976069,0.00021243113,0.014559702,0.000046702506,0.000018420526,0.00011495615,0.00020459328,0.00013386548,0.008640409],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998956,0.000020199606,0.0000049935634,0.000018292298,0.00004360494,0.000017235838],"domain_scores_gemma":[0.99987316,0.000039646962,0.000013528879,0.000017336686,0.000049822804,0.0000063686693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017631693,0.00052234106,0.0006009111,0.00023887992,0.00030314128,0.00064206077,0.000869831,0.0005622483,0.0028281424],"category_scores_gemma":[0.00048136147,0.00020544033,0.00042581232,0.00030294046,0.00025230672,0.0010120749,0.0002732969,0.00035846877,0.00067464914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091065245,0.00004528291,0.00048634526,0.00008547449,0.000021295975,0.00005054488,0.00004880963,0.96444404,0.013982134,0.004587653,0.001063017,0.015094304],"study_design_scores_gemma":[0.0000026682674,0.000020626865,0.00009718168,0.0000025275756,0.000004975747,0.0000098988985,0.0000051679467,0.99744415,0.0015159723,0.00035813745,0.00053634384,0.000002357054],"about_ca_topic_score_codex":0.004017354,"about_ca_topic_score_gemma":0.004327779,"teacher_disagreement_score":0.004017354,"about_ca_system_score_codex":0.0005561453,"about_ca_system_score_gemma":0.00052053115,"threshold_uncertainty_score":0.009461105},"labels":[],"label_agreement":null},{"id":"W4389175140","doi":"10.3390/futuretransp3040072","title":"Battery State-of-Health Evaluation for Roadside Energy Storage Systems in Electric Transportation","year":2023,"lang":"en","type":"article","venue":"Future Transportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Chang'an University","keywords":"Battery (electricity); State of health; Energy storage; Cluster analysis; Automotive engineering; Internal resistance; Voltage; Power (physics); Energy (signal processing); Environmental science; Computer science; Electrical engineering; Engineering; Statistics; Mathematics","score_opus":0.02029909887442935,"score_gpt":0.2844145639270289,"score_spread":0.26411546505259953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389175140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97887737,0.00019403314,0.018468654,0.000051408468,0.000013886264,0.000043769705,0.00061299844,0.00029408734,0.0014437545],"genre_scores_gemma":[0.99802077,0.000044218352,0.0012547361,0.000006327626,0.0000020206553,0.000011251988,0.0002931349,0.000007847382,0.00035981083],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998797,0.000028399818,0.000012005828,0.000022423037,0.000044470376,0.000012910872],"domain_scores_gemma":[0.99968076,0.00008265455,0.00003266522,0.000031767853,0.00015830954,0.000013921909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028115965,0.00026816485,0.0003465371,0.00053431967,0.00022776905,0.0003911276,0.00025726092,0.00027785104,0.0011139526],"category_scores_gemma":[0.0007837606,0.000086166714,0.00021765957,0.0004569978,0.00014507263,0.00043370094,0.0002235649,0.00015795171,0.00033595765],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002155708,0.00042859733,0.35341895,0.0006384319,0.0003176329,0.0004086913,0.0011184204,0.17819381,0.14002104,0.00091834075,0.0036956654,0.31868476],"study_design_scores_gemma":[0.000031760756,0.0016769622,0.4202458,0.00006640546,0.00016869562,0.00034337846,0.0014779973,0.46343905,0.108586,0.0010960795,0.0027802666,0.00008755103],"about_ca_topic_score_codex":0.0034510707,"about_ca_topic_score_gemma":0.006373223,"teacher_disagreement_score":0.0034510707,"about_ca_system_score_codex":0.00036257348,"about_ca_system_score_gemma":0.0001904865,"threshold_uncertainty_score":0.0068619847},"labels":[],"label_agreement":null},{"id":"W4389257804","doi":"10.1007/978-3-031-46866-7_3","title":"Data-Based Modelling for Prediction","year":2023,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on mechanical engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Contrast (vision); Set (abstract data type); Process (computing); Machine learning; Linear regression; Data set; Artificial intelligence; Data mining","score_opus":0.06619471281009445,"score_gpt":0.26074548230218897,"score_spread":0.19455076949209452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389257804","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012413914,0.0055142916,0.97930247,0.0007874429,0.00075425,0.000026346355,0.0007415597,0.0026563832,0.00897583],"genre_scores_gemma":[0.24213238,0.020979742,0.6100389,0.0012685733,0.0020016455,0.00045869118,0.0064122817,0.0027917493,0.11391604],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99954706,0.000079813275,0.000042917633,0.00012363243,0.00018509914,0.000021525624],"domain_scores_gemma":[0.99901414,0.00053788297,0.000033429442,0.00021508701,0.00018102645,0.000018345077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085050205,0.0014967952,0.0012649851,0.00050711253,0.00025553114,0.0019357337,0.001659801,0.0011371841,0.011948504],"category_scores_gemma":[0.002313358,0.0008780584,0.0010590486,0.0010414436,0.00068890146,0.0030606773,0.0010065995,0.002287221,0.007885554],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014456427,0.00009138551,0.0005059635,0.00066500576,0.00014646586,0.00013911481,0.000093224364,0.38467157,0.006323462,0.1050804,0.05703695,0.44510192],"study_design_scores_gemma":[0.000010287705,0.000023473272,0.00024999861,0.00007179836,0.000028392265,0.00004920554,0.000012231477,0.8556659,0.0028289491,0.09703339,0.04400229,0.000024118479],"about_ca_topic_score_codex":0.0047940975,"about_ca_topic_score_gemma":0.0024423606,"teacher_disagreement_score":0.011948504,"about_ca_system_score_codex":0.0007877602,"about_ca_system_score_gemma":0.00054601853,"threshold_uncertainty_score":0.03997171},"labels":[],"label_agreement":null},{"id":"W4389283732","doi":"","title":"Plug-in vs. Wireless Charging: Life Cycle Energy and Greenhouse Gas Emission Analysis of an Electric Bus System","year":2015,"lang":"en","type":"article","venue":"Deep Blue (University of Michigan)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canada Excellence Research Chairs, Government of Canada; U.S. Department of Energy","keywords":"Greenhouse gas; Plug-in; Wireless; Environmental science; Energy (signal processing); Electrical engineering; Computer science; Telecommunications; Engineering; Operating system; Statistics; Mathematics; Geology","score_opus":0.008858818069029252,"score_gpt":0.19618263646081005,"score_spread":0.1873238183917808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389283732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871329,0.00012435426,0.0075052744,0.00003874599,0.00000490223,0.000050857598,0.0005249089,0.000080533166,0.0045375014],"genre_scores_gemma":[0.99625945,0.00011339832,0.0015926844,0.0000059148597,0.0000015567293,0.000020472493,0.00032892596,0.000012177187,0.0016654389],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989486,0.000030219222,0.0000047974804,0.00001445687,0.000032727974,0.000022950162],"domain_scores_gemma":[0.9998074,0.00009411381,0.000024338124,0.000014625028,0.000052592408,0.000006955588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026153494,0.00050927786,0.00027723607,0.00086330797,0.0002855133,0.00064112025,0.00026091828,0.00022989698,0.0020363592],"category_scores_gemma":[0.00047771656,0.00017852017,0.00051776995,0.00058385864,0.00020646145,0.00057255395,0.00021586398,0.0002785324,0.00022806048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007093978,0.00041140002,0.03244578,0.00031813077,0.00012676453,0.0003614004,0.00015969922,0.871221,0.03578517,0.0034811418,0.000775502,0.054204587],"study_design_scores_gemma":[0.000019273057,0.0007906268,0.0152722625,0.000015731875,0.00006515,0.00006975676,0.00019787568,0.9627776,0.018843837,0.00091212586,0.0010192624,0.000016558213],"about_ca_topic_score_codex":0.013828763,"about_ca_topic_score_gemma":0.011830612,"teacher_disagreement_score":0.013828763,"about_ca_system_score_codex":0.000931944,"about_ca_system_score_gemma":0.00039974396,"threshold_uncertainty_score":0.027496517},"labels":[],"label_agreement":null},{"id":"W4389331527","doi":"10.1109/jestie.2023.3339429","title":"A Robust Extended Kalman Filtering Approach for State of Charge Estimation in Batteries","year":2023,"lang":"en","type":"article","venue":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"U.S. Naval Research Laboratory; Office of Naval Research","keywords":"Extended Kalman filter; Kalman filter; Control theory (sociology); State of charge; Computer science; State-space representation; Invariant extended Kalman filter; Estimation theory; Battery (electricity); Algorithm; Artificial intelligence; Power (physics); Control (management); Physics","score_opus":0.05289037724383891,"score_gpt":0.28918140111959595,"score_spread":0.23629102387575704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389331527","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023507588,0.00039511686,0.996064,0.000047866517,0.00004059439,0.000012340498,0.000027929478,0.0002445558,0.00081689144],"genre_scores_gemma":[0.6954761,0.0019951505,0.2964479,0.00013499522,0.00019593122,0.00017238314,0.00031021598,0.00012692821,0.0051403814],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996393,0.00007365395,0.000037468235,0.00008838272,0.00013351682,0.0000278103],"domain_scores_gemma":[0.99971694,0.00011519471,0.00004013012,0.000026223672,0.000095275806,0.0000061948417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056870544,0.0006685382,0.0008134073,0.0004810537,0.00032657772,0.00076116837,0.0007006293,0.00073383504,0.0013334843],"category_scores_gemma":[0.0018855445,0.00033445167,0.0007694532,0.0005066649,0.00029042794,0.0010044881,0.00056156196,0.00084626937,0.00042670587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068199595,0.00002377336,0.00063437957,0.00013183922,0.000073151794,0.00011221834,0.000085751046,0.81766903,0.0071210014,0.011751402,0.0010811691,0.16124798],"study_design_scores_gemma":[0.0000038728167,0.000026295551,0.00018519211,0.000010436491,0.0000107502965,0.000026088826,0.000006885992,0.9951456,0.0011223962,0.0023598035,0.0010888217,0.000013719137],"about_ca_topic_score_codex":0.0089834165,"about_ca_topic_score_gemma":0.006166437,"teacher_disagreement_score":0.0089834165,"about_ca_system_score_codex":0.000464615,"about_ca_system_score_gemma":0.0006974898,"threshold_uncertainty_score":0.0178622},"labels":[],"label_agreement":null},{"id":"W4389352631","doi":"10.1109/access.2023.3340131","title":"EV Charging Profiles and Waveforms Dataset (EV-CPW) and Associated Power Quality Analysis","year":2023,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical engineering; Computer science; Voltage; Power electronics; Power (physics); Waveform; Reliability (semiconductor); Electric vehicle; Renewable energy; Harmonics; Electronics; Electronic engineering; Engineering; Physics","score_opus":0.054123634312382075,"score_gpt":0.3728578771456384,"score_spread":0.3187342428332563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389352631","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024379485,0.0000835304,0.00092589745,0.00011305155,0.000054037435,0.000052415257,0.9927451,0.0015945766,0.001993393],"genre_scores_gemma":[0.0025131442,0.000054009248,0.0009957259,0.000029171613,0.000009789137,0.000064464846,0.99553514,0.00008332822,0.0007152719],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992052,0.0000884649,0.000121396464,0.00015562424,0.00031971326,0.00010969766],"domain_scores_gemma":[0.9978278,0.0003781954,0.00019012128,0.00055988674,0.00089966244,0.00014433486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007537704,0.0010992368,0.00092445733,0.0029364566,0.00043309983,0.00112283,0.00170796,0.0016310968,0.015712852],"category_scores_gemma":[0.0034000766,0.00029087547,0.0009848389,0.0048372746,0.00020576223,0.0010762474,0.0012624261,0.0012165873,0.022885362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019593968,0.00014073639,0.0051538935,0.00091052696,0.00006845181,0.00016238872,0.000060153838,0.0031943123,0.0012622664,0.0008791487,0.96297896,0.024993228],"study_design_scores_gemma":[0.00024038758,0.00009110815,0.034388956,0.00027976386,0.00005453219,0.00033470645,0.00023719168,0.013178134,0.0029226,0.0022057754,0.9459739,0.00009297902],"about_ca_topic_score_codex":0.014481827,"about_ca_topic_score_gemma":0.02288673,"teacher_disagreement_score":0.015712852,"about_ca_system_score_codex":0.0008245587,"about_ca_system_score_gemma":0.00091699534,"threshold_uncertainty_score":0.05256474},"labels":[],"label_agreement":null},{"id":"W4389366763","doi":"10.1080/19236026.2023.2266351","title":"CanmetMINING diesel and BEV field test series: MacLean Engineering diesel and battery electric cassette truck","year":2023,"lang":"en","type":"article","venue":"CIM Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Doug Bragg Enterprises (Canada); Natural Resources Canada","funders":"","keywords":"Truck; Automotive engineering; Diesel fuel; Battery (electricity); Fuel efficiency; Environmental science; Driving cycle; Fossil fuel; Internal combustion engine; Engineering; Range (aeronautics); Electric vehicle; Waste management; Power (physics); Aerospace engineering","score_opus":0.010497755909988625,"score_gpt":0.23363178688087144,"score_spread":0.2231340309708828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389366763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974687,0.000017740527,0.00044720387,0.000014159921,0.000008790157,0.000097394965,0.00041217823,0.000030851254,0.0015029993],"genre_scores_gemma":[0.9927072,0.000038628317,0.0013528016,0.000027644035,0.0000035669912,0.00007003188,0.0014894241,0.000011815728,0.004298967],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99957234,0.000044822053,0.000021691401,0.00010003026,0.00018691161,0.00007415774],"domain_scores_gemma":[0.99894863,0.00014209514,0.000050467,0.000070747534,0.00067718665,0.00011086473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000384415,0.0006366646,0.00031873983,0.00069098256,0.0006752705,0.00026249874,0.0007159065,0.0005815543,0.002582719],"category_scores_gemma":[0.00054771546,0.00023970057,0.00048779853,0.0004657708,0.00037669926,0.0004321964,0.00027578245,0.0004977797,0.0005282978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.014541203,0.023946468,0.25202325,0.0008736441,0.0003110698,0.002637782,0.0024408037,0.045018066,0.55958545,0.001061439,0.008494704,0.089066066],"study_design_scores_gemma":[0.00093973806,0.085807,0.50454134,0.00007670683,0.00018163494,0.0010227421,0.004837768,0.044439286,0.34381193,0.00047760372,0.013703871,0.00016028278],"about_ca_topic_score_codex":0.039440323,"about_ca_topic_score_gemma":0.1259006,"teacher_disagreement_score":0.039440323,"about_ca_system_score_codex":0.0008196024,"about_ca_system_score_gemma":0.000644013,"threshold_uncertainty_score":0.07842153},"labels":[],"label_agreement":null},{"id":"W4389517509","doi":"","title":"Test methodology to determine gaseous contaminant transfer in membrane energy recovery ventilators","year":2024,"lang":"en","type":"paratext","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Energy transfer; Test (biology); Environmental science; Nuclear engineering; Petroleum engineering; Waste management; Computer science; Engineering; Engineering physics; Geology","score_opus":0.024997615266765732,"score_gpt":0.2703831815837604,"score_spread":0.24538556631699468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389517509","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6942776,0.0033916861,0.2856238,0.0004987883,0.00025144033,0.0015850196,0.0015611079,0.0013892138,0.011421412],"genre_scores_gemma":[0.9048331,0.001964593,0.08076256,0.00036850118,0.00004109675,0.0009951354,0.0011365161,0.000110653935,0.009787851],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987313,0.00028574327,0.00007597351,0.000120241435,0.0007113903,0.00007536359],"domain_scores_gemma":[0.99900335,0.00024334734,0.00011423454,0.00006121968,0.0005357429,0.000042149928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009413536,0.00042860562,0.0002499219,0.00084804883,0.00034188706,0.00050096295,0.0010503978,0.0006678473,0.00217876],"category_scores_gemma":[0.0016559204,0.00018444711,0.00025992634,0.00035900518,0.00021956135,0.0004562983,0.000508469,0.00035940242,0.0010862754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022048669,0.00017829522,0.00330305,0.00019035077,0.000017835635,0.000082616934,0.00005516653,0.0008769414,0.97284746,0.00026524925,0.00039530336,0.021567203],"study_design_scores_gemma":[0.000023945364,0.0016758092,0.004090407,0.00002300189,0.000020293039,0.00016886798,0.00007457184,0.0066904635,0.9844199,0.00009231968,0.002710621,0.000009801382],"about_ca_topic_score_codex":0.0010675102,"about_ca_topic_score_gemma":0.0014951292,"teacher_disagreement_score":0.00217876,"about_ca_system_score_codex":0.00039797058,"about_ca_system_score_gemma":0.00061235524,"threshold_uncertainty_score":0.0072886944},"labels":[],"label_agreement":null},{"id":"W4389541209","doi":"10.17118/11143/20839","title":"Battery state of charge prediction using deep neural networks and longshort term memory networks","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Artificial neural network; Computer science; Battery (electricity); State of charge; Term (time); Long short term memory; State (computer science); Artificial intelligence; Charge (physics); Recurrent neural network; Algorithm; Physics; Power (physics)","score_opus":0.01864926216159989,"score_gpt":0.253418628328843,"score_spread":0.2347693661672431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389541209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77113855,0.0051562595,0.20097217,0.0015391714,0.0005938971,0.00011162811,0.00385796,0.004445645,0.012184751],"genre_scores_gemma":[0.9825273,0.000431,0.011573594,0.00014939332,0.000043827324,0.000037795173,0.0021828148,0.00002733296,0.0030270345],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998741,0.00001605917,0.000009981356,0.00003763614,0.00003248091,0.000029593108],"domain_scores_gemma":[0.9996277,0.00010995904,0.00004107607,0.000024039247,0.00017841032,0.000018751643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028289907,0.0009548394,0.00044172702,0.0006043887,0.00020850403,0.0005473123,0.0008224538,0.0006155596,0.0013892971],"category_scores_gemma":[0.001117838,0.00023542027,0.00043981927,0.00051264255,0.0001471409,0.0008484862,0.00042131517,0.00092331826,0.0005512404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034836982,0.00047957234,0.011154981,0.00012812234,0.00013667876,0.00017604245,0.00003524981,0.7452359,0.0039869556,0.00075010397,0.007592765,0.22997537],"study_design_scores_gemma":[0.000004272014,0.000022911352,0.0007358437,0.000007311799,0.0000074064383,0.000005572431,0.0000060562393,0.99739325,0.0011708265,0.00043063227,0.00021282364,0.000003144385],"about_ca_topic_score_codex":0.019102808,"about_ca_topic_score_gemma":0.026650596,"teacher_disagreement_score":0.019102808,"about_ca_system_score_codex":0.0008744927,"about_ca_system_score_gemma":0.0005412406,"threshold_uncertainty_score":0.03798324},"labels":[],"label_agreement":null},{"id":"W4389610049","doi":"10.1109/tte.2023.3341695","title":"Performance Analysis of Empirical Open-Circuit Voltage Modeling in Lithium-Ion Batteries—Part 3: Experimental Results","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"State of charge; Battery (electricity); Voltage; Polynomial; Equivalent circuit; Open-circuit voltage; Empirical modelling; Computer science; Polynomial and rational function modeling; Simulation; Engineering; Mathematics; Electrical engineering; Power (physics)","score_opus":0.0699960012413966,"score_gpt":0.3256521095138155,"score_spread":0.2556561082724189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389610049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9500571,0.00070394995,0.043153014,0.00018025645,0.00006207565,0.00015226874,0.0010873873,0.0012316167,0.0033724613],"genre_scores_gemma":[0.9948053,0.00013653951,0.0038066993,0.000025614383,0.000008257324,0.000058550326,0.0004456741,0.000049537004,0.00066376716],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99846894,0.00027550836,0.00015933832,0.00027014583,0.0007148693,0.00011112473],"domain_scores_gemma":[0.99650687,0.0011931919,0.000288219,0.00075313624,0.0012020067,0.0000565541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018520947,0.0009997035,0.00066500827,0.0008075732,0.00047857975,0.0009784652,0.001381168,0.0011380803,0.0021224632],"category_scores_gemma":[0.0061867773,0.00027253944,0.00054459466,0.0008117031,0.0004884576,0.0014854578,0.0006871393,0.00065206696,0.0005654088],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018801139,0.0015266199,0.03366458,0.0013998228,0.00028818994,0.00058538734,0.0013102685,0.5243795,0.25764465,0.003759005,0.0035121064,0.17004977],"study_design_scores_gemma":[0.000031404797,0.0026060436,0.010781702,0.00006118018,0.0000541187,0.00022751861,0.00039195808,0.64175993,0.34028292,0.0008380426,0.002872192,0.00009312845],"about_ca_topic_score_codex":0.0026002096,"about_ca_topic_score_gemma":0.0019933071,"teacher_disagreement_score":0.0026002096,"about_ca_system_score_codex":0.0011271976,"about_ca_system_score_gemma":0.00034337022,"threshold_uncertainty_score":0.0097949505},"labels":[],"label_agreement":null},{"id":"W4389659403","doi":"10.1149/1945-7111/ad1555","title":"Laser Scanning Method for High-Resolution Thickness Mapping of Lithium-Ion Pouch Cells","year":2023,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Materials science; Graphite; Lithium (medication); Silicon; Swelling; Laser; Scanning electron microscope; Laser scanning; Resolution (logic); Analytical Chemistry (journal); Chemical engineering; Composite material; Optoelectronics; Chemistry; Optics; Chromatography","score_opus":0.016793669347137455,"score_gpt":0.28254662554637233,"score_spread":0.2657529561992349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389659403","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36457115,0.0015540207,0.62646455,0.00017152092,0.00011108843,0.00026051205,0.0007234397,0.0024749152,0.0036688847],"genre_scores_gemma":[0.5599514,0.0010626885,0.43283185,0.00010135299,0.000028346225,0.0007096221,0.00042045242,0.0001932673,0.0047009108],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996555,0.00004808774,0.00002745654,0.00007327779,0.00016699362,0.000028741488],"domain_scores_gemma":[0.9994542,0.00025222133,0.00006152327,0.00008730604,0.00012231093,0.000022390634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041271705,0.00042212644,0.0002451908,0.0010730416,0.00027062517,0.00028857784,0.00068380794,0.0005317729,0.0027057002],"category_scores_gemma":[0.0007762223,0.00029615383,0.0001508846,0.00063936785,0.00028567886,0.0005246199,0.00037723366,0.00064290635,0.0005467909],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002880763,0.000011197497,0.00021252852,0.00003296904,0.000002696487,0.000033715074,0.00003232307,0.00014321781,0.9919966,0.00016375483,0.00009001119,0.007252038],"study_design_scores_gemma":[0.000009374387,0.0001091026,0.0024386002,0.000006977064,0.000010954136,0.00024834162,0.000038748145,0.009090228,0.98603237,0.00015729574,0.0018357459,0.000022382932],"about_ca_topic_score_codex":0.00058506103,"about_ca_topic_score_gemma":0.0010639415,"teacher_disagreement_score":0.0027057002,"about_ca_system_score_codex":0.00024986017,"about_ca_system_score_gemma":0.0002841368,"threshold_uncertainty_score":0.009051442},"labels":[],"label_agreement":null},{"id":"W4389664543","doi":"10.1109/jestie.2023.3342717","title":"Theoretical Performance Evaluation of Battery Equivalent Circuit Model Parameter Estimators","year":2023,"lang":"en","type":"article","venue":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Estimator; Equivalent circuit; Voltage; Battery (electricity); Voltage drop; Estimation theory; Cramér–Rao bound; Noise (video); Resistive touchscreen; Computer science; Control theory (sociology); Electronic engineering; Algorithm; Engineering; Electrical engineering; Mathematics; Power (physics); Physics; Statistics; Artificial intelligence","score_opus":0.07855622779444156,"score_gpt":0.32099831505931203,"score_spread":0.2424420872648705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389664543","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014688363,0.0011351834,0.9798881,0.00017582241,0.000028240207,0.000025067824,0.000082707855,0.0005185342,0.0034579912],"genre_scores_gemma":[0.7798189,0.00283919,0.21255685,0.00023621046,0.000119724595,0.00022002458,0.0009886845,0.00029615336,0.0029242283],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99816483,0.0008167175,0.00008079284,0.00021916094,0.0005808536,0.00013765847],"domain_scores_gemma":[0.98983735,0.008185954,0.00029915702,0.00057460857,0.0010517802,0.000051150702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034097896,0.0012941314,0.0009245878,0.0010394744,0.0005278916,0.0014457392,0.0009783733,0.0013388003,0.0019864333],"category_scores_gemma":[0.020546356,0.00041859414,0.0006946592,0.00089201785,0.0009454835,0.0018123457,0.0014561337,0.0011348423,0.0009351768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019945842,0.000041440457,0.0015858497,0.000293037,0.000069156304,0.00009625514,0.00009335081,0.8753791,0.0049216407,0.022037908,0.0010243853,0.094258495],"study_design_scores_gemma":[0.0000052909795,0.000041224328,0.00029244876,0.000020430189,0.000012523658,0.00007571779,0.000021853544,0.99275404,0.0023593311,0.003964407,0.0004397534,0.000012890186],"about_ca_topic_score_codex":0.0028483814,"about_ca_topic_score_gemma":0.0018058505,"teacher_disagreement_score":0.0034097896,"about_ca_system_score_codex":0.0010233262,"about_ca_system_score_gemma":0.0009405921,"threshold_uncertainty_score":0.018032908},"labels":[],"label_agreement":null},{"id":"W4389855564","doi":"10.1016/j.seta.2023.103587","title":"Fuel cell preventive maintenance in an electricity market with Hydrogen storage and Scenario-Based risk management","year":2023,"lang":"en","type":"article","venue":"Sustainable Energy Technologies and Assessments","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hydrogen storage; Fuel cells; Business; Preventive maintenance; Electricity; Risk management; Risk analysis (engineering); Environmental economics; Environmental science; Waste management; Hydrogen; Engineering; Reliability engineering; Finance; Chemistry; Economics; Electrical engineering","score_opus":0.0046048052674973325,"score_gpt":0.23730445244935772,"score_spread":0.2326996471818604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389855564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913361,0.00008911669,0.005025217,0.00048595597,0.00002597424,0.000046809757,0.0003424164,0.000086408974,0.002561928],"genre_scores_gemma":[0.99917126,0.000011358769,0.00041738173,0.0000061865376,0.0000037706989,0.0000053230374,0.00004402363,0.0000033578992,0.00033737335],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999448,0.00025449993,0.000026353333,0.00009577201,0.00006611272,0.00010924569],"domain_scores_gemma":[0.9958758,0.003108875,0.00038750932,0.00009617669,0.00033156146,0.00020006883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023915318,0.0005680364,0.0006292531,0.00060061656,0.00037331434,0.0012924371,0.0013934877,0.0016716556,0.002318875],"category_scores_gemma":[0.005243463,0.0003122578,0.00050675374,0.00043494656,0.00066437793,0.0023762542,0.00063146517,0.0009083516,0.00011302531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001273915,0.00028636013,0.0075169452,0.00004725206,0.00006651005,0.00051612506,0.00005658044,0.97733736,0.0009843362,0.005985626,0.0010850586,0.004844024],"study_design_scores_gemma":[0.000022656033,0.000083616505,0.0020841167,0.0000022074955,0.000016923608,0.000028576806,0.0000645502,0.9959943,0.00021001011,0.001404264,0.00007816232,0.000010557942],"about_ca_topic_score_codex":0.015476102,"about_ca_topic_score_gemma":0.014547577,"teacher_disagreement_score":0.015476102,"about_ca_system_score_codex":0.0019908356,"about_ca_system_score_gemma":0.00081207365,"threshold_uncertainty_score":0.03077203},"labels":[],"label_agreement":null},{"id":"W4389856670","doi":"10.1016/j.ensm.2023.103144","title":"Advancements in battery thermal management system for fast charging/discharging applications","year":2023,"lang":"en","type":"article","venue":"Energy storage materials","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Battery (electricity); Reliability (semiconductor); Reliability engineering; Refrigerant; Thermal management of electronic devices and systems; Energy storage; Renewable energy; Systems engineering; Phase change; Energy management; Computer science; Materials science; Automotive engineering; Electrical engineering; Energy (signal processing); Engineering; Mechanical engineering; Engineering physics","score_opus":0.014192991340262286,"score_gpt":0.2534621307373376,"score_spread":0.2392691393970753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389856670","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40809935,0.1561043,0.25523466,0.0055472027,0.004647768,0.00028907912,0.0010902587,0.0017902021,0.16719724],"genre_scores_gemma":[0.86060804,0.041233048,0.048998844,0.0006850397,0.0010091956,0.00011818156,0.00063005736,0.00013968057,0.046577904],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99981374,0.000016837776,0.000017558146,0.000042327094,0.00008787918,0.000021766731],"domain_scores_gemma":[0.99970764,0.000042543026,0.000023201206,0.00002638055,0.0001842433,0.000015884574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040434752,0.00038163102,0.00030619578,0.0005368633,0.00027595446,0.0007050443,0.00068507466,0.00047009837,0.003992041],"category_scores_gemma":[0.00043172494,0.0001835555,0.0003343669,0.0007336858,0.00017849548,0.0018876529,0.00040827328,0.00055766053,0.0010314642],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032063908,0.0002432761,0.0026915025,0.0022757035,0.000059995178,0.0002142053,0.00022582187,0.0062877405,0.3504167,0.02551355,0.010442585,0.6013083],"study_design_scores_gemma":[0.000045598623,0.0011633217,0.009342495,0.0003263973,0.00023042953,0.0013332207,0.00046896085,0.09372223,0.50203866,0.009656686,0.38156897,0.00010307333],"about_ca_topic_score_codex":0.00048753564,"about_ca_topic_score_gemma":0.00065926614,"teacher_disagreement_score":0.003992041,"about_ca_system_score_codex":0.00036559734,"about_ca_system_score_gemma":0.00058243494,"threshold_uncertainty_score":0.013354719},"labels":[],"label_agreement":null},{"id":"W4389885718","doi":"10.1016/j.energy.2023.129952","title":"A useable multi-level BESSs sizing model for low-level data accessibility with risk assessment application under marketization and high uncertainties","year":2023,"lang":"en","type":"article","venue":"Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Université Laval","funders":"","keywords":"Sizing; CVAR; Computer science; Profit (economics); Reliability engineering; Environmental economics; Operations research; Expected shortfall; Risk management; Engineering; Economics; Finance; Microeconomics","score_opus":0.10259938707166956,"score_gpt":0.34208928126947374,"score_spread":0.2394898941978042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389885718","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02579421,0.00014219085,0.9610965,0.0001352419,0.00005267207,0.000072622744,0.0006258973,0.0021582588,0.00992243],"genre_scores_gemma":[0.8844219,0.000152986,0.10516344,0.00007778392,0.000028409188,0.00018044026,0.00065962784,0.00028057612,0.009034885],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998419,0.000030604388,0.000010213588,0.000034894092,0.000064989996,0.000017342],"domain_scores_gemma":[0.99972934,0.0001034652,0.000027317992,0.000035027857,0.00009079869,0.000013997445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003395325,0.0005755743,0.00062076654,0.00031186358,0.0003290692,0.00091224123,0.0010300782,0.0006973682,0.006965748],"category_scores_gemma":[0.00087010744,0.00038287474,0.00070244714,0.00032713584,0.00018981929,0.00079734286,0.00049075653,0.0006200366,0.0008589035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023414736,0.0000109419525,0.00021795304,0.00002932016,0.000011261008,0.000028996095,0.0000150868245,0.98668903,0.0011848456,0.0013310071,0.00049451285,0.009963604],"study_design_scores_gemma":[0.0000026901414,0.0000050365165,0.000052702395,0.0000017383276,0.000004175483,0.0000045832303,0.0000018502036,0.99892825,0.00021025141,0.00045899116,0.00032785686,0.0000018415093],"about_ca_topic_score_codex":0.012006417,"about_ca_topic_score_gemma":0.011632753,"teacher_disagreement_score":0.012006417,"about_ca_system_score_codex":0.0005396941,"about_ca_system_score_gemma":0.0009031843,"threshold_uncertainty_score":0.023873031},"labels":[],"label_agreement":null},{"id":"W4390038409","doi":"10.1021/acs.iecr.3c02849","title":"A Generalizable Method for Capacity Estimation and RUL Prediction in Lithium-Ion Batteries","year":2023,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Overfitting; Robustness (evolution); Kriging; Smoothing; Generalizability theory; Bootstrapping (finance); Artificial neural network; Gaussian process; Battery (electricity); Machine learning; Artificial intelligence; Gaussian; Statistics; Mathematics; Econometrics","score_opus":0.119010702520606,"score_gpt":0.35946979107974775,"score_spread":0.24045908855914175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390038409","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004496088,0.00017700346,0.9942299,0.000033849712,0.00002404795,0.000026792422,0.000044752796,0.0006189462,0.00034863752],"genre_scores_gemma":[0.5014139,0.0007603862,0.4926597,0.00014540082,0.00014325899,0.0002816758,0.0005366664,0.00022906436,0.003829976],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961,0.000072599396,0.00002255707,0.000111861984,0.00015940878,0.000023648896],"domain_scores_gemma":[0.9994722,0.00018749629,0.000058021524,0.00006950383,0.00019889807,0.000013979839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066256104,0.0008543338,0.0007702917,0.00075581676,0.00030789478,0.0005002808,0.0010626338,0.00084419904,0.001082657],"category_scores_gemma":[0.002515064,0.00027527334,0.000718714,0.0008710037,0.0003185612,0.00077580486,0.0006043968,0.0008812874,0.00043465683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006708316,0.00006284708,0.0012738204,0.00016934262,0.000059834627,0.00012593613,0.0000580206,0.70958424,0.0118764425,0.002613179,0.0015381245,0.2725712],"study_design_scores_gemma":[0.0000023441135,0.00000907267,0.00018804953,0.0000029794116,0.000003887305,0.000015415964,0.000003050087,0.9980477,0.0007191505,0.0005977889,0.00040584392,0.000004780587],"about_ca_topic_score_codex":0.0071486686,"about_ca_topic_score_gemma":0.0050782682,"teacher_disagreement_score":0.0071486686,"about_ca_system_score_codex":0.00037715762,"about_ca_system_score_gemma":0.00084625644,"threshold_uncertainty_score":0.014214158},"labels":[],"label_agreement":null},{"id":"W4390074649","doi":"10.17118/11143/21311","title":"Comparing long short-term memory and gated recurrent unit machine learning techniques for accurate estimation of electric vehicle battery characteristics","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Term (time); Long short term memory; Battery (electricity); Computer science; Unit (ring theory); Estimation; Artificial intelligence; Machine learning; Engineering; Recurrent neural network; Artificial neural network; Mathematics; Power (physics)","score_opus":0.04649845910041891,"score_gpt":0.3165040152285633,"score_spread":0.2700055561281444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390074649","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6962231,0.0028995697,0.2938035,0.0004346118,0.00027262064,0.00006466356,0.00052018755,0.002382634,0.0033991146],"genre_scores_gemma":[0.9738158,0.0002670043,0.024356604,0.000051377196,0.00002551319,0.000030097397,0.000506431,0.000033582543,0.0009136542],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997551,0.000064735694,0.000024755394,0.00006743861,0.000053453907,0.000034408684],"domain_scores_gemma":[0.99939454,0.0002707526,0.00005893104,0.00005331089,0.00020266215,0.000019775962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008173309,0.00085155223,0.0005219183,0.00071470777,0.00020055773,0.00044815024,0.000735956,0.0005772821,0.00064290303],"category_scores_gemma":[0.002456976,0.00018107366,0.0004669967,0.00054448564,0.00014995031,0.0007737834,0.00035028177,0.00065772544,0.00031762928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003188894,0.00027115148,0.011822103,0.00013066667,0.00022889278,0.00014281078,0.0000840408,0.6194418,0.011283239,0.0007163935,0.002455099,0.3531049],"study_design_scores_gemma":[0.0000027580368,0.000032038468,0.0010871566,0.000005047076,0.000009107056,0.000009159998,0.000011212409,0.9967529,0.0018248984,0.00013604907,0.00012515704,0.0000044521857],"about_ca_topic_score_codex":0.011159783,"about_ca_topic_score_gemma":0.0109327175,"teacher_disagreement_score":0.011159783,"about_ca_system_score_codex":0.00041548704,"about_ca_system_score_gemma":0.00049567694,"threshold_uncertainty_score":0.022189617},"labels":[],"label_agreement":null},{"id":"W4390416923","doi":"10.1109/ecce53617.2023.10362729","title":"Health-conscious Dual-stage Hybrid Lithium-ion Battery Balancing Strategy for E-mobility","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Load balancing (electrical power); Computer science; Dual (grammatical number); Battery pack; Modularity (biology); Voltage; Battery (electricity); State of charge; Load management; Engineering; Electrical engineering; Power (physics)","score_opus":0.0351077366111584,"score_gpt":0.32006539283834573,"score_spread":0.28495765622718733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390416923","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19368686,0.0015441871,0.76884884,0.00047433935,0.0002181162,0.0001712337,0.0001073429,0.0016008305,0.033348277],"genre_scores_gemma":[0.96176636,0.00020849591,0.028227972,0.0001303867,0.000032368618,0.000054130982,0.00005969874,0.00003129242,0.009489328],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99993134,0.0000068785203,0.0000051940174,0.000014530629,0.000024358324,0.000017650742],"domain_scores_gemma":[0.9999536,0.0000054872485,0.000006370263,0.000006841396,0.000020661591,0.0000070729116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008365017,0.00036595738,0.00026119704,0.00028528992,0.00035134415,0.00042670098,0.00086302456,0.00035787496,0.0030262116],"category_scores_gemma":[0.00009828714,0.00011294602,0.00019790189,0.00021008651,0.00020445135,0.00078921026,0.0005327437,0.0001768586,0.00082208624],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000580415,0.00021438564,0.0018720853,0.00032664163,0.00006694116,0.0006886409,0.00029131596,0.04079325,0.5207302,0.015324666,0.005181561,0.41393003],"study_design_scores_gemma":[0.000096391086,0.0010553352,0.0029976037,0.00007128374,0.00011135335,0.0013757669,0.00030821035,0.63005745,0.30434552,0.013358355,0.04612257,0.00010027907],"about_ca_topic_score_codex":0.00053880643,"about_ca_topic_score_gemma":0.001453132,"teacher_disagreement_score":0.0030262116,"about_ca_system_score_codex":0.00024151633,"about_ca_system_score_gemma":0.00017371532,"threshold_uncertainty_score":0.01012373},"labels":[],"label_agreement":null},{"id":"W4390576757","doi":"10.1109/tpel.2023.3347762","title":"A Compact Cuk-Based Differential Power Processing IC With Integrated Magnetics and Soft-Switching Controller for Maximized Cell-Level Power Extraction","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Canada First Research Excellence Fund; University of Alberta","keywords":"Power (physics); Electronic engineering; Switched-mode power supply; Extraction (chemistry); Controller (irrigation); Differential (mechanical device); Electrical engineering; Engineering; Computer science; Control theory (sociology); Voltage; Physics; Control (management)","score_opus":0.011490569254841312,"score_gpt":0.2564688420832666,"score_spread":0.24497827282842527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390576757","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35599932,0.0018145276,0.61012477,0.0005077532,0.0004555566,0.0002378342,0.0002922148,0.0039605573,0.026607394],"genre_scores_gemma":[0.9039798,0.00022494161,0.09054235,0.00018262702,0.000059282673,0.00007523901,0.00011170305,0.00006591825,0.004758108],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998254,0.000012900743,0.000009035868,0.00005185887,0.0000779731,0.000022844435],"domain_scores_gemma":[0.99985385,0.000025841488,0.000032634693,0.000023818828,0.000052887943,0.000010927041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103399165,0.00028004806,0.00028317538,0.00025201775,0.00023436877,0.0005063646,0.0013881656,0.0003393691,0.0018369665],"category_scores_gemma":[0.0003155879,0.00016340127,0.0001435514,0.0003267325,0.00018733082,0.0007007369,0.00030267632,0.00031209676,0.0005240806],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022357066,0.00008381198,0.0007357316,0.00041327853,0.00003422344,0.00041979153,0.00016764499,0.0068664895,0.85345316,0.007836252,0.0035435944,0.12622258],"study_design_scores_gemma":[0.00008881907,0.0007356765,0.0022410692,0.00004282751,0.00009790804,0.0017047642,0.00006635045,0.19062327,0.7709086,0.0009707221,0.032459732,0.000060318245],"about_ca_topic_score_codex":0.0005041425,"about_ca_topic_score_gemma":0.0011286149,"teacher_disagreement_score":0.0018369665,"about_ca_system_score_codex":0.00058418006,"about_ca_system_score_gemma":0.00040016184,"threshold_uncertainty_score":0.006145239},"labels":[],"label_agreement":null},{"id":"W4390628459","doi":"10.1016/j.apenergy.2023.122555","title":"A hybrid deep learning approach for remaining useful life prediction of lithium-ion batteries based on discharging fragments","year":2024,"lang":"en","type":"article","venue":"Applied Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Hilbert–Huang transform; Degradation (telecommunications); Robustness (evolution); Convolutional neural network; Trajectory; Computer science; Battery capacity; Battery (electricity); Lithium-ion battery; Deep learning; Artificial intelligence; Algorithm; Chemistry","score_opus":0.015382374953931011,"score_gpt":0.22973138203624502,"score_spread":0.214349007082314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390628459","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26583183,0.0022519364,0.72346294,0.000451936,0.00015109668,0.000068430396,0.0009610708,0.0020707662,0.004749925],"genre_scores_gemma":[0.9633491,0.00037063222,0.030398406,0.00012442931,0.000057806526,0.000060120226,0.00085733563,0.00004874571,0.0047334763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999143,0.000008168204,0.0000052954706,0.000023765448,0.000025987927,0.000022496082],"domain_scores_gemma":[0.9998078,0.00006695173,0.00001974563,0.000012870679,0.000075801385,0.000016826694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024442174,0.00062905584,0.00069099735,0.00062339014,0.00026997368,0.00052300317,0.0012282763,0.0007280951,0.0015547852],"category_scores_gemma":[0.00051583035,0.0002483184,0.00053150865,0.0005065007,0.00020362104,0.00083777704,0.000494615,0.0006792128,0.0003392043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027563926,0.00022347808,0.0037646997,0.00008790347,0.000072011586,0.00013133352,0.00003025979,0.78143626,0.006184511,0.0019586477,0.0026849627,0.20315023],"study_design_scores_gemma":[0.0000013036916,0.000006949889,0.00010570311,0.0000016083849,0.0000032393366,0.000003825264,0.0000014576848,0.99905306,0.00037688832,0.00036486026,0.00007967484,0.0000014731864],"about_ca_topic_score_codex":0.010510126,"about_ca_topic_score_gemma":0.009850294,"teacher_disagreement_score":0.010510126,"about_ca_system_score_codex":0.0005947497,"about_ca_system_score_gemma":0.000670005,"threshold_uncertainty_score":0.020897865},"labels":[],"label_agreement":null},{"id":"W4390797069","doi":"10.1049/pbtr039e_ch10","title":"Power quality control of battery charging system","year":2023,"lang":"en","type":"book-chapter","venue":"Institution of Engineering and Technology eBooks","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Canadian Institute for International Peace and Security","funders":"","keywords":"Converters; Electrical engineering; Battery (electricity); Battery charger; Total harmonic distortion; Electronic engineering; Voltage; Engineering; Power (physics); Renewable energy; Computer science; Physics","score_opus":0.015821239770569942,"score_gpt":0.2353533863759692,"score_spread":0.21953214660539927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390797069","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024213243,0.017773407,0.6059891,0.00050780224,0.001114401,0.0001824321,0.00023998595,0.003410937,0.34656873],"genre_scores_gemma":[0.7637921,0.015505571,0.037476134,0.00026094393,0.0007101232,0.00012514168,0.00037037846,0.00030004044,0.1814596],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998691,0.000012575723,0.000005287914,0.000021767812,0.000082204,0.000009079697],"domain_scores_gemma":[0.9999169,0.000012802033,0.0000061021724,0.000009319631,0.000051240375,0.0000035744215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010435245,0.00030272856,0.0002430933,0.00033438727,0.00021274085,0.0010682192,0.0004097225,0.00023805458,0.008610784],"category_scores_gemma":[0.00023979085,0.000082103346,0.000109732915,0.00039776028,0.00019449335,0.00037752994,0.00021770668,0.0003810655,0.0020714044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015405146,0.00006065145,0.00031504067,0.00085549185,0.000018787421,0.00023565775,0.00039554166,0.03766175,0.05531673,0.052675076,0.02381851,0.8284927],"study_design_scores_gemma":[0.000069369664,0.00060063077,0.0036102468,0.00047241693,0.000045945624,0.0012709862,0.00027547008,0.26022556,0.04436035,0.06484243,0.62416077,0.0000658878],"about_ca_topic_score_codex":0.00061664736,"about_ca_topic_score_gemma":0.0005882992,"teacher_disagreement_score":0.008610784,"about_ca_system_score_codex":0.00031639164,"about_ca_system_score_gemma":0.00017812246,"threshold_uncertainty_score":0.028805971},"labels":[],"label_agreement":null},{"id":"W4390842097","doi":"10.1016/j.geits.2024.100155","title":"Thermal heat flux distribution prediction in an electrical vehicle battery cell using finite element analysis and neural network","year":2024,"lang":"en","type":"article","venue":"Green Energy and Intelligent Transportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Battery (electricity); Finite element method; Battery pack; Artificial neural network; Heat flux; Thermal; Electric-vehicle battery; Mean squared error; Inlet; Electric vehicle; Flux (metallurgy); Range (aeronautics); Automotive engineering; Simulation; Mechanical engineering; Engineering; Computer science; Mechanics; Structural engineering; Meteorology; Materials science; Mathematics; Heat transfer; Artificial intelligence; Physics; Thermodynamics; Aerospace engineering; Statistics","score_opus":0.0140558485766796,"score_gpt":0.23954776582440965,"score_spread":0.22549191724773004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390842097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7731026,0.00039912836,0.2193907,0.00021817161,0.000055257147,0.00005984034,0.0001889433,0.00042286413,0.0061624935],"genre_scores_gemma":[0.98765415,0.00010973791,0.01088804,0.000013038095,0.0000027360102,0.000045022047,0.000061806575,0.000010578366,0.0012149534],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993193,0.000013037383,0.000005348557,0.000015014611,0.000026995209,0.000007716405],"domain_scores_gemma":[0.99986553,0.00006928447,0.000013435943,0.00000832443,0.000038236296,0.0000050655995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019602783,0.0003630392,0.00035929418,0.0003086216,0.0002926666,0.0004496113,0.00036014515,0.0006910863,0.00074547715],"category_scores_gemma":[0.0004224646,0.00028610026,0.00042416446,0.00024815366,0.00030224523,0.00042522216,0.00021430297,0.00031145205,0.00012778428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004285197,0.00003149165,0.0017971805,0.00003782019,0.000008498915,0.00004722302,0.000042062788,0.98342055,0.0053746393,0.00028335542,0.00010984121,0.008804455],"study_design_scores_gemma":[7.892631e-7,0.000008341732,0.00015923708,0.0000017128931,0.000001325085,0.0000028383884,0.0000067485657,0.9988809,0.00083713105,0.000048178495,0.000050959192,0.0000018174192],"about_ca_topic_score_codex":0.008406567,"about_ca_topic_score_gemma":0.0078816125,"teacher_disagreement_score":0.008406567,"about_ca_system_score_codex":0.0005139751,"about_ca_system_score_gemma":0.0004661697,"threshold_uncertainty_score":0.016715288},"labels":[],"label_agreement":null},{"id":"W4390970932","doi":"10.1109/irec59750.2023.10389293","title":"Scaling Down Electrolysis System for Lab-Scale Test Bench: A Power Performance Perspective","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Scaling; Total harmonic distortion; Test bench; Power factor; Scale factor (cosmology); Electrical engineering; Engineering; Constant current; Voltage; Electronic engineering; Physics; Mathematics","score_opus":0.01030687209711183,"score_gpt":0.25393986695807175,"score_spread":0.2436329948609599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390970932","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26210946,0.003652898,0.6767914,0.004576688,0.00087583426,0.0009886886,0.0014360988,0.010047376,0.039521564],"genre_scores_gemma":[0.8389222,0.0019305237,0.14911333,0.0006956971,0.00021037465,0.0004723313,0.0013697894,0.00082664745,0.006459037],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989466,0.00017908457,0.00005661109,0.00015832263,0.0005592944,0.00010008707],"domain_scores_gemma":[0.99730515,0.00046148614,0.00019593044,0.00070360315,0.0011928593,0.00014103878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015248662,0.0008908618,0.00047789302,0.0006683226,0.00037033472,0.0014886375,0.0017949936,0.00075316435,0.0055061216],"category_scores_gemma":[0.0032334446,0.00026701577,0.00042692883,0.0007255607,0.00064512546,0.0026912661,0.0007634639,0.0014248617,0.002279735],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041248137,0.0006415011,0.0066290656,0.0012696938,0.0001052723,0.000671963,0.0003197407,0.0399234,0.6966389,0.014083668,0.010856249,0.22844808],"study_design_scores_gemma":[0.00014688942,0.0051983534,0.011028712,0.0001670867,0.00016521159,0.0011255278,0.00058706116,0.13954382,0.7112654,0.008965274,0.12164365,0.0001631234],"about_ca_topic_score_codex":0.0010783868,"about_ca_topic_score_gemma":0.0011100253,"teacher_disagreement_score":0.0055061216,"about_ca_system_score_codex":0.00078387634,"about_ca_system_score_gemma":0.00053712656,"threshold_uncertainty_score":0.018419862},"labels":[],"label_agreement":null},{"id":"W4390971566","doi":"10.3390/batteries10010032","title":"Investigation of Heat Transfer Enhancement Techniques on a Scalable Novel Hybrid Thermal Management Strategy for Lithium-Ion Battery Packs","year":2024,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Materials science; Battery pack; Coolant; Computer cooling; Battery (electricity); Thermal conductivity; Pressure drop; Heat transfer; Air cooling; Thermal; Nuclear engineering; Evaporative cooler; Composite material; Lithium-ion battery; Heat flux; Phase-change material; Mechanical engineering; Mechanics; Thermodynamics; Power (physics); Thermal management of electronic devices and systems","score_opus":0.030848559002490568,"score_gpt":0.27086418271547413,"score_spread":0.24001562371298357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390971566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9601927,0.0023561416,0.032876763,0.00010936937,0.00010948375,0.00008432217,0.0000742501,0.00022899557,0.00396797],"genre_scores_gemma":[0.97952193,0.000963631,0.01713751,0.000042682535,0.000015959706,0.000062707084,0.00006180489,0.000033862987,0.0021598148],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999238,0.000006318338,0.0000050016256,0.000017361242,0.000032386757,0.0000150332735],"domain_scores_gemma":[0.999944,0.000013071492,0.000012307679,0.0000074503614,0.000017431023,0.000005821514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013607382,0.0002768676,0.00024055364,0.00019101231,0.00013403106,0.0003441425,0.00026791517,0.00024952236,0.0007342779],"category_scores_gemma":[0.00017780752,0.00018206707,0.00022603253,0.0001602155,0.00017060335,0.0006226517,0.00019019522,0.00027258464,0.0003577745],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038497277,0.000055258093,0.00016164398,0.0001966998,0.000007389799,0.00006911651,0.000046898273,0.0015344275,0.9883654,0.00031987048,0.00011661169,0.009088132],"study_design_scores_gemma":[0.000007659129,0.0003795882,0.0008214429,0.00000884809,0.000013960919,0.000077962344,0.000040313284,0.017757785,0.9777077,0.000061579434,0.0031145783,0.00000856357],"about_ca_topic_score_codex":0.00019348932,"about_ca_topic_score_gemma":0.00045344108,"teacher_disagreement_score":0.0007342779,"about_ca_system_score_codex":0.00018360818,"about_ca_system_score_gemma":0.00009638472,"threshold_uncertainty_score":0.002456367},"labels":[],"label_agreement":null},{"id":"W4391024733","doi":"10.2139/ssrn.4700261","title":"Battery Calendar Degradation Trajectory Prediction: Data-Driven Implementation and Knowledge Inspiration","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Trajectory; Degradation (telecommunications); Computer science; Battery (electricity); Artificial intelligence; Real-time computing; Telecommunications; Physics; Power (physics)","score_opus":0.03147047943590914,"score_gpt":0.32042320924487927,"score_spread":0.28895272980897013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391024733","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08909801,0.00032274998,0.88855654,0.001921583,0.00011350403,0.0003613877,0.0024137925,0.00434238,0.01287003],"genre_scores_gemma":[0.7859577,0.00021779748,0.20917226,0.00025506417,0.00004222358,0.00022874119,0.0020424817,0.0001231077,0.0019606168],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909365,0.0001601845,0.00007523364,0.0003186743,0.00026630398,0.00008587594],"domain_scores_gemma":[0.99515057,0.002405645,0.00023915005,0.00088847865,0.0011685153,0.00014759286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016461187,0.0007145617,0.00090467476,0.0011708986,0.00047738833,0.002371085,0.0029268654,0.0016713073,0.004081899],"category_scores_gemma":[0.012950117,0.000503794,0.0006605652,0.0015276377,0.0006220621,0.0035342756,0.0021435602,0.0018883646,0.0012246951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065047486,0.0013099483,0.017375045,0.00055778713,0.00020008805,0.0004371884,0.0010920546,0.34120023,0.0073693697,0.016742224,0.008261161,0.60480434],"study_design_scores_gemma":[0.000030364623,0.000080231024,0.0013454133,0.000054294484,0.00004230895,0.00005122128,0.00016556268,0.9774435,0.0045720167,0.013551472,0.0026414853,0.00002216618],"about_ca_topic_score_codex":0.012658881,"about_ca_topic_score_gemma":0.012953585,"teacher_disagreement_score":0.012658881,"about_ca_system_score_codex":0.0009839395,"about_ca_system_score_gemma":0.0022802274,"threshold_uncertainty_score":0.025170445},"labels":[],"label_agreement":null},{"id":"W4391071400","doi":"10.1016/j.geits.2024.100165","title":"Fault detection of new and aged lithium-ion battery cells in electric vehicles","year":2024,"lang":"en","type":"article","venue":"Green Energy and Intelligent Transportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Battery (electricity); Voltage; Fault (geology); Lithium-ion battery; Internal resistance; Fault detection and isolation; Battery pack; Computer science; Electric vehicle; State of charge; Automotive engineering; Reliability engineering; Engineering; Electrical engineering; Power (physics)","score_opus":0.012830120922615207,"score_gpt":0.22964484847466454,"score_spread":0.21681472755204934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391071400","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24152069,0.0011643568,0.7547722,0.00016650917,0.000102959486,0.000038185182,0.000048356756,0.0008942891,0.0012926032],"genre_scores_gemma":[0.99367815,0.00011249596,0.0057133106,0.000019060702,0.0000069646417,0.000009365928,0.000019771664,0.0000043161876,0.0004365317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982136,0.000022966606,0.00001320962,0.000049581286,0.000068122994,0.000024706394],"domain_scores_gemma":[0.99967,0.00009143484,0.00007239536,0.000029810704,0.000121341676,0.000015041172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002432825,0.0004198746,0.00041410606,0.0002917211,0.00016700274,0.00044208506,0.00056150364,0.00052141934,0.00029709132],"category_scores_gemma":[0.0007782654,0.00013462179,0.00024581625,0.00013615443,0.0002708753,0.0006674668,0.0003034958,0.00033668804,0.000079929],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004147432,0.00010247073,0.011168902,0.0002764858,0.000073639705,0.00055229256,0.00029301227,0.7398902,0.062011298,0.0036124021,0.0009271697,0.18067731],"study_design_scores_gemma":[0.000008997409,0.00013573826,0.0016090167,0.000007443843,0.000018725903,0.00009363595,0.000034616936,0.98539287,0.01111962,0.0008308797,0.00073753955,0.000010896152],"about_ca_topic_score_codex":0.0035390311,"about_ca_topic_score_gemma":0.0026117358,"teacher_disagreement_score":0.0035390311,"about_ca_system_score_codex":0.0004254287,"about_ca_system_score_gemma":0.0003213134,"threshold_uncertainty_score":0.0070368648},"labels":[],"label_agreement":null},{"id":"W4391092779","doi":"10.1109/jestie.2024.3356974","title":"Edge of Transfer Learning-Based Long Short-Term Memory Neural Networks in the Application of Battery Surface Temperature Prediction for Electric Vehicles","year":2024,"lang":"en","type":"article","venue":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Long short term memory; Transfer of learning; Enhanced Data Rates for GSM Evolution; Artificial neural network; Battery (electricity); Term (time); Artificial intelligence; Computer science; Recurrent neural network; Physics; Thermodynamics","score_opus":0.018594169272797,"score_gpt":0.26879434981141553,"score_spread":0.25020018053861853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391092779","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17977215,0.009745424,0.79281026,0.0018038389,0.00050178915,0.00006488437,0.00015459092,0.0023020091,0.012845031],"genre_scores_gemma":[0.94490963,0.0017835137,0.04872555,0.00025449108,0.00010610031,0.000045284833,0.00017417874,0.000050824437,0.00395046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985766,0.000033318996,0.000010708399,0.000035630113,0.000044412685,0.000018182833],"domain_scores_gemma":[0.9997607,0.00010543102,0.000022356806,0.00002149549,0.00008098902,0.000008964936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004757999,0.00050882564,0.00029079753,0.0002546959,0.00018130864,0.00043157925,0.0006352996,0.0007085365,0.0012629842],"category_scores_gemma":[0.0012291307,0.00015503928,0.00031449672,0.0003788103,0.00026656096,0.0009795335,0.00040371815,0.00079282915,0.00037847043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026573724,0.00015946463,0.0022528546,0.0001519386,0.000094795556,0.00020308697,0.00008937191,0.5416227,0.017007058,0.004957056,0.003153357,0.43004254],"study_design_scores_gemma":[0.000002052702,0.000024271181,0.00021581752,0.000005654011,0.0000068366126,0.000010764562,0.000005509201,0.9955752,0.0025507424,0.0011470199,0.00045271104,0.0000034208158],"about_ca_topic_score_codex":0.004132918,"about_ca_topic_score_gemma":0.0029392166,"teacher_disagreement_score":0.004132918,"about_ca_system_score_codex":0.00043531676,"about_ca_system_score_gemma":0.00048662888,"threshold_uncertainty_score":0.008217752},"labels":[],"label_agreement":null},{"id":"W4391100246","doi":"10.3390/en17020536","title":"Battery State of Health Estimation Using the Sliding Interacting Multiple Model Strategy","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; McMaster University; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ames Research Center; National Aeronautics and Space Administration","keywords":"Battery (electricity); State of health; State of charge; Process (computing); Computer science; Engineering; Control theory (sociology); Power (physics); Artificial intelligence; Control (management)","score_opus":0.05925224436107771,"score_gpt":0.338930275083216,"score_spread":0.27967803072213826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391100246","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04587234,0.00030257777,0.95154786,0.00013065913,0.000044019624,0.000042690717,0.00009920626,0.00066943135,0.0012912059],"genre_scores_gemma":[0.9045554,0.00023649418,0.09245625,0.00008713286,0.00003634768,0.000108547654,0.00041801564,0.000037521404,0.0020642944],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997876,0.00004332402,0.000017865845,0.00007363988,0.00005250372,0.000024974932],"domain_scores_gemma":[0.99955803,0.00019805727,0.00005376512,0.000047633806,0.00012350074,0.000019060255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055735314,0.00061123515,0.0008122226,0.00052085106,0.0001906753,0.00061469246,0.0007685547,0.0005419256,0.0009905966],"category_scores_gemma":[0.0019597963,0.0002424683,0.00066589745,0.0003474478,0.00021388715,0.00072336284,0.00051910814,0.0007610309,0.00028426386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016216749,0.00010265484,0.004322129,0.00012210112,0.00012130399,0.00012517728,0.00012924965,0.7694715,0.006546588,0.0034288503,0.0015525726,0.21391569],"study_design_scores_gemma":[0.0000035092614,0.000030905023,0.00047818758,0.000003897876,0.000006942529,0.000013366628,0.000008350189,0.997719,0.0007912887,0.00071931287,0.00021967792,0.0000054747356],"about_ca_topic_score_codex":0.0071328976,"about_ca_topic_score_gemma":0.007064946,"teacher_disagreement_score":0.0071328976,"about_ca_system_score_codex":0.0003512124,"about_ca_system_score_gemma":0.00058906956,"threshold_uncertainty_score":0.014182746},"labels":[],"label_agreement":null},{"id":"W4391164041","doi":"10.1109/tte.2024.3358110","title":"A 15-kW Wide-Input Reconfigurable Three-Level DAB Converter for On-Board Charging of 1.25-kV Electric Vehicle Powertrains","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Powertrain; Automotive engineering; Electric vehicle; Electrical engineering; Engineering; Physics; Power (physics)","score_opus":0.02783772863564509,"score_gpt":0.26598938553435336,"score_spread":0.23815165689870826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391164041","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2077692,0.00083242555,0.7303837,0.00023952327,0.00024299957,0.00032642024,0.0003830365,0.0057425015,0.05408023],"genre_scores_gemma":[0.95297885,0.00019439077,0.036220923,0.000049297032,0.000015340698,0.000052432548,0.00020757895,0.00009342078,0.0101878205],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999106,0.000014259862,0.000004863654,0.000017578579,0.000040075007,0.000012634056],"domain_scores_gemma":[0.99994946,0.000007031426,0.0000058695723,0.000010644876,0.00001796764,0.000009055141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011291985,0.00030682143,0.00028426797,0.00043953658,0.00027412988,0.00046957572,0.00078977714,0.00017949186,0.003674099],"category_scores_gemma":[0.00015106412,0.00011744822,0.00022946513,0.00040501027,0.00009482344,0.0003249776,0.00017839951,0.0003126656,0.0011908925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040067453,0.00029817314,0.0021553657,0.0006614542,0.000054859567,0.001081485,0.00035551662,0.02235428,0.354813,0.0148463845,0.009736271,0.5932425],"study_design_scores_gemma":[0.00021265403,0.0018209874,0.009885862,0.0001284667,0.00011675516,0.006258006,0.0002952806,0.41407725,0.41943213,0.005990665,0.14163697,0.00014502298],"about_ca_topic_score_codex":0.0006914084,"about_ca_topic_score_gemma":0.00078381517,"teacher_disagreement_score":0.003674099,"about_ca_system_score_codex":0.00025118608,"about_ca_system_score_gemma":0.00023791888,"threshold_uncertainty_score":0.012291074},"labels":[],"label_agreement":null},{"id":"W4391300952","doi":"10.2514/6.2024-1539","title":"Development of an Electric Propulsion System Sizing Framework Considering Battery Degradation.","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Sizing; Degradation (telecommunications); Propulsion; Battery (electricity); Electrically powered spacecraft propulsion; Computer science; Automotive engineering; Engineering; Aerospace engineering; Telecommunications; Chemistry; Power (physics); Physics","score_opus":0.022882281911905947,"score_gpt":0.27372047627528695,"score_spread":0.250838194363381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391300952","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011415645,0.00033240672,0.97683436,0.0001114951,0.000033076376,0.00015728323,0.00032283014,0.00047625645,0.010316677],"genre_scores_gemma":[0.4740632,0.0005667907,0.5159503,0.00008975319,0.00005116266,0.0004939494,0.0010963153,0.00037584445,0.0073127076],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960953,0.000083648185,0.000017881699,0.00005005705,0.00020071764,0.00003822286],"domain_scores_gemma":[0.9994987,0.00018187863,0.000054759956,0.000039253704,0.00020432554,0.000020973537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001166259,0.0009593771,0.0005676191,0.00082031114,0.00041285614,0.0009108498,0.0011143793,0.0005466176,0.0029935162],"category_scores_gemma":[0.0017336172,0.00046478468,0.0008734251,0.00052653626,0.00033300024,0.0007846782,0.00068063126,0.0008654754,0.0004556928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008419739,0.000016395803,0.0003405144,0.000050331026,0.000013350074,0.00004005685,0.000025919091,0.9737777,0.0017078051,0.0056897365,0.00062618655,0.017703604],"study_design_scores_gemma":[0.0000034661073,0.000018561099,0.00012000948,0.000013643637,0.0000065643317,0.000018616818,0.000015562515,0.99382883,0.00065474224,0.0031320874,0.00218341,0.0000045201045],"about_ca_topic_score_codex":0.011399305,"about_ca_topic_score_gemma":0.013735951,"teacher_disagreement_score":0.011399305,"about_ca_system_score_codex":0.0011355896,"about_ca_system_score_gemma":0.0022170309,"threshold_uncertainty_score":0.022665918},"labels":[],"label_agreement":null},{"id":"W4391302663","doi":"10.2514/6.2024-0279","title":"Life Cycle Analysis of Battery Modules to be Integrated into Hybrid/Electric Aircraft","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Battery (electricity); Automotive engineering; Computer science; Electrical engineering; Engineering; Power (physics); Physics","score_opus":0.012579700818983524,"score_gpt":0.2688617702716486,"score_spread":0.2562820694526651,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391302663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9535958,0.0012111983,0.028845431,0.000090800626,0.000021744114,0.00018270705,0.0024614416,0.00025816762,0.013332664],"genre_scores_gemma":[0.98927236,0.00041019954,0.0045200596,0.000029344461,0.000002896371,0.0001314977,0.0011661901,0.000047128626,0.0044202795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998611,0.000019589035,0.000007081618,0.000021169428,0.00005402205,0.00003712531],"domain_scores_gemma":[0.99974555,0.00008826702,0.000030363153,0.000014292672,0.000111923466,0.000009567922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043501597,0.0005005856,0.0004286332,0.0012635984,0.0003261468,0.00040490317,0.00040608388,0.00036890604,0.0034635568],"category_scores_gemma":[0.0005359639,0.00023108987,0.0010060976,0.00068888016,0.00019956085,0.00045310362,0.00018876162,0.0003314344,0.0005174369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062373205,0.00024801487,0.011225214,0.0004903956,0.00015600628,0.00030528283,0.00009513136,0.84603137,0.08559777,0.0033631206,0.0011325522,0.05073146],"study_design_scores_gemma":[0.00003419912,0.0010208566,0.016595013,0.00005974025,0.00016238866,0.00012079917,0.00012959662,0.8969743,0.076577224,0.0026867199,0.0055972287,0.00004190296],"about_ca_topic_score_codex":0.010275205,"about_ca_topic_score_gemma":0.009386279,"teacher_disagreement_score":0.010275205,"about_ca_system_score_codex":0.0014581652,"about_ca_system_score_gemma":0.00071246637,"threshold_uncertainty_score":0.020430803},"labels":[],"label_agreement":null},{"id":"W4391342229","doi":"10.1109/vppc60535.2023.10403157","title":"On the Integration of On-Route Fast Chargers for Battery Electric Buses","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Canada; Natural Resources Canada","funders":"","keywords":"Battery (electricity); Computer science; Automotive engineering; Electrical engineering; Automotive battery; Engineering; Power (physics); Physics","score_opus":0.04429838129206949,"score_gpt":0.29421640050981734,"score_spread":0.24991801921774787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391342229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91967773,0.0009169018,0.062866405,0.00020068436,0.00006249034,0.0001252282,0.000070993745,0.0004264075,0.015653092],"genre_scores_gemma":[0.9899498,0.0002802658,0.0075715403,0.000030186458,0.000013829598,0.000007750329,0.000038652688,0.000017878814,0.002090076],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9996542,0.00008504213,0.000011504448,0.000035010933,0.000161616,0.00005260517],"domain_scores_gemma":[0.99958545,0.00010700426,0.00005271515,0.000055899087,0.0001761492,0.0000228754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003308005,0.00033121766,0.00019631044,0.0002855988,0.00017811568,0.0005255019,0.0006307939,0.000319445,0.002099717],"category_scores_gemma":[0.0007381728,0.00010665899,0.00026608183,0.00026523258,0.00016044894,0.0006904639,0.00031878543,0.00027535812,0.00035937518],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018997835,0.000944735,0.018451406,0.0006425877,0.00015753304,0.0010005977,0.00025524842,0.247127,0.21252841,0.0054614716,0.0021047376,0.50942653],"study_design_scores_gemma":[0.00018950146,0.011435629,0.048088573,0.00013368207,0.0004126818,0.001378494,0.0006160246,0.7134269,0.19359104,0.002725614,0.027937809,0.00006415433],"about_ca_topic_score_codex":0.0042433576,"about_ca_topic_score_gemma":0.006509784,"teacher_disagreement_score":0.0042433576,"about_ca_system_score_codex":0.00040541124,"about_ca_system_score_gemma":0.00031587327,"threshold_uncertainty_score":0.008437276},"labels":[],"label_agreement":null},{"id":"W4391342731","doi":"10.1109/vppc60535.2023.10403215","title":"Optimal Sizing of Li-Ion Capacitor for Off-Road Electric Vehicles","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Sizing; Mathematical optimization; Computer science; Capacitor; Energy storage; Voltage; Nonlinear programming; Pontryagin's minimum principle; Integer programming; Battery (electricity); Linear programming; Integer (computer science); Nonlinear system; Control theory (sociology); Automotive engineering; Optimal control; Engineering; Electrical engineering; Algorithm; Mathematics; Power (physics)","score_opus":0.02558528634693068,"score_gpt":0.28200837239391097,"score_spread":0.2564230860469803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391342731","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.101125315,0.00035728698,0.88201016,0.00018039065,0.0000364651,0.00011568962,0.00012737016,0.00046101067,0.015586296],"genre_scores_gemma":[0.8122658,0.0001653407,0.18464226,0.00004524683,0.000009419422,0.000083850064,0.00010017408,0.00006839911,0.0026195801],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999294,0.000015732872,0.0000032838298,0.000014826407,0.000024059806,0.000012537538],"domain_scores_gemma":[0.9999095,0.000043261174,0.000015849284,0.000006127974,0.000018340292,0.000006891765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000190002,0.00055988063,0.0003157209,0.00034242088,0.0003063841,0.00066520285,0.0004976653,0.00041301385,0.002720001],"category_scores_gemma":[0.00050096965,0.00026764916,0.0002632012,0.0003566915,0.00026103473,0.00064270844,0.00031499605,0.0003426183,0.0002747919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006573994,0.00003828186,0.0003841889,0.000099211546,0.000014842365,0.000048205384,0.000056699217,0.91024286,0.010397311,0.0068404865,0.0011163449,0.07069583],"study_design_scores_gemma":[0.000007636989,0.000032540902,0.000098579076,0.0000042790216,0.000005223618,0.00001249309,0.000022083444,0.9939851,0.0022054433,0.0028686342,0.00075388653,0.000004072769],"about_ca_topic_score_codex":0.0036925743,"about_ca_topic_score_gemma":0.0070781643,"teacher_disagreement_score":0.0036925743,"about_ca_system_score_codex":0.0006663409,"about_ca_system_score_gemma":0.0009914369,"threshold_uncertainty_score":0.009099305},"labels":[],"label_agreement":null},{"id":"W4391342987","doi":"10.1109/vppc60535.2023.10403358","title":"Virtual Temperature Sensor in Battery Thermal Management System Using LSTM-DNN","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Battery (electricity); Artificial neural network; Reliability (semiconductor); Computer science; Automotive engineering; Power (physics); Lithium-ion battery; Deep learning; Reliability engineering; Artificial intelligence; Engineering","score_opus":0.017967444145566554,"score_gpt":0.2564779114550698,"score_spread":0.23851046730950326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391342987","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16554399,0.0027493734,0.81607944,0.00058039854,0.0005432821,0.000106770465,0.00037566148,0.0035161884,0.010504961],"genre_scores_gemma":[0.97104126,0.00043981415,0.025140824,0.00013235901,0.000042673662,0.00006911641,0.00018340426,0.00003077696,0.002919736],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999001,0.000011766109,0.00000836525,0.000035503304,0.000027089667,0.000017229113],"domain_scores_gemma":[0.999936,0.000011296743,0.000007231404,0.000004542618,0.00003521877,0.0000056857516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018129671,0.0005409512,0.00035452642,0.00017350922,0.0002241589,0.0003747615,0.00077897846,0.0004310772,0.0012874134],"category_scores_gemma":[0.0003261418,0.00022494764,0.00032161555,0.00024302398,0.0001723392,0.0008320121,0.00033999557,0.0005527312,0.00026329406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037875166,0.00021749223,0.0033296263,0.00031672572,0.00013846584,0.0002126324,0.0001212252,0.58924365,0.04394036,0.0023327805,0.005261347,0.35450697],"study_design_scores_gemma":[0.0000057194325,0.00003924939,0.00028807673,0.000005533291,0.000012006436,0.00001585542,0.000006793031,0.9944376,0.0042770444,0.0004899586,0.00041648012,0.000005702571],"about_ca_topic_score_codex":0.005440191,"about_ca_topic_score_gemma":0.0066671246,"teacher_disagreement_score":0.005440191,"about_ca_system_score_codex":0.0005233864,"about_ca_system_score_gemma":0.00050531444,"threshold_uncertainty_score":0.010817051},"labels":[],"label_agreement":null},{"id":"W4391381587","doi":"10.1109/mwscas57524.2023.10405973","title":"A Baseline Comparison of Linear and Exponential Charge Pumps","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Baseline (sea); Exponential function; Computer science; Mathematics; Geology; Mathematical analysis","score_opus":0.03955762992622736,"score_gpt":0.32364623218680927,"score_spread":0.2840886022605819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391381587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6803942,0.011452687,0.2136951,0.00056274096,0.00042854232,0.00039500877,0.0031955566,0.003039665,0.08683644],"genre_scores_gemma":[0.9639737,0.0020126805,0.02254056,0.00013113777,0.00010182424,0.0000872293,0.00097553054,0.00018870228,0.009988622],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99888045,0.00015114981,0.000053731186,0.00023373845,0.00048592594,0.00019501382],"domain_scores_gemma":[0.9977307,0.0011932151,0.00016044879,0.0002161864,0.0006531814,0.00004630908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010243069,0.0005567478,0.0005479724,0.00086549105,0.00032056225,0.001289222,0.0010909551,0.00074073183,0.009198299],"category_scores_gemma":[0.005244752,0.00016454593,0.00038227875,0.0012448509,0.0004253602,0.002212002,0.00051591196,0.00045580073,0.0014579584],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009218744,0.0011045884,0.011855475,0.0028572695,0.00047683596,0.000537056,0.00032811548,0.16329996,0.22385097,0.050230604,0.0134395035,0.522801],"study_design_scores_gemma":[0.00045870166,0.01585121,0.028862074,0.00039301923,0.00068430614,0.002049924,0.0008423561,0.5469615,0.29771474,0.018674474,0.08731464,0.00019315937],"about_ca_topic_score_codex":0.0013808209,"about_ca_topic_score_gemma":0.0011400986,"teacher_disagreement_score":0.009198299,"about_ca_system_score_codex":0.0008258137,"about_ca_system_score_gemma":0.00045183016,"threshold_uncertainty_score":0.030771434},"labels":[],"label_agreement":null},{"id":"W4391429116","doi":"10.1109/spec56436.2023.10408348","title":"Real-time Point-to-Point Parameter Tracking for Fault Prognosis of Lithium-ion Batteries Using Electrochemical Impedance Spectroscopy","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Dielectric spectroscopy; Lithium (medication); Electrical impedance; Point (geometry); Ion; Fault (geology); Tracking (education); Materials science; Electrochemistry; Spectroscopy; Computer science; Analytical Chemistry (journal); Physics; Electrical engineering; Chemistry; Engineering; Electrode; Mathematics; Physical chemistry","score_opus":0.02565730196062407,"score_gpt":0.3104802422414904,"score_spread":0.28482294028086635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391429116","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22961475,0.0016901016,0.7632266,0.0003034804,0.00012218666,0.0000838425,0.00018316729,0.0023001323,0.0024756442],"genre_scores_gemma":[0.96710443,0.00041818945,0.031787995,0.00004540821,0.000019611747,0.000031142485,0.000064732936,0.000018853527,0.00050956715],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998449,0.0000223653,0.000013587782,0.00004515395,0.00006176117,0.000012188584],"domain_scores_gemma":[0.99974865,0.000076096825,0.00006251829,0.000030520863,0.000070009075,0.000012210958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025747097,0.0006583924,0.0004474468,0.0005837646,0.0001689647,0.00054399314,0.00060999935,0.00060188066,0.00052629417],"category_scores_gemma":[0.0009518524,0.00014183714,0.00020387201,0.0004114245,0.00017810616,0.0008986455,0.0003928916,0.000297284,0.00033759733],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009132018,0.00028589056,0.012941098,0.00046329244,0.000069506365,0.0005339649,0.00026026435,0.10783495,0.3798402,0.0016768047,0.0015014269,0.49367937],"study_design_scores_gemma":[0.000021318383,0.0003121048,0.0045291977,0.00003159487,0.000032435582,0.00027784443,0.00007691357,0.8664112,0.12531109,0.0016277302,0.0013215236,0.00004700991],"about_ca_topic_score_codex":0.00047391665,"about_ca_topic_score_gemma":0.00068406505,"teacher_disagreement_score":0.0006583924,"about_ca_system_score_codex":0.00020324763,"about_ca_system_score_gemma":0.00017265206,"threshold_uncertainty_score":0.0017606616},"labels":[],"label_agreement":null},{"id":"W4391495679","doi":"10.1109/etfg55873.2023.10408182","title":"A Novel Boost Converter for Low Power Photo-Voltaic Harvesters","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Inductor; Boost converter; Voltage; Electronic engineering; Power (physics); Buck–boost converter; Forward converter; Ćuk converter; Computer science; Flyback converter; Electrical engineering; Topology (electrical circuits); Engineering; Physics","score_opus":0.02216167167605814,"score_gpt":0.26809530926314973,"score_spread":0.24593363758709158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391495679","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10697771,0.0031112728,0.85576874,0.0003771128,0.0003431744,0.00022629001,0.00020716999,0.0021441744,0.030844294],"genre_scores_gemma":[0.8468068,0.0015219236,0.13187896,0.00026301396,0.00012615781,0.00014843223,0.00013424833,0.00010805317,0.019012276],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998374,0.000013020819,0.0000070190417,0.000032587035,0.00009315882,0.000016677164],"domain_scores_gemma":[0.9999161,0.000017436521,0.0000108796075,0.000009869944,0.000037072616,0.000008657393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017694023,0.00027303878,0.000389722,0.0002809643,0.00027297033,0.00070982834,0.0007929667,0.00036545497,0.0026924147],"category_scores_gemma":[0.00017266457,0.00022693796,0.00027708308,0.00038043776,0.00019892823,0.0007667475,0.00032199753,0.00065848435,0.0011569891],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016125196,0.00007659273,0.0003786526,0.00060265826,0.000033658354,0.0003109277,0.00014607256,0.0026239231,0.881752,0.010591259,0.0014224221,0.1019006],"study_design_scores_gemma":[0.00008497767,0.0006925863,0.0017233433,0.00010098751,0.00010802715,0.002347195,0.00009752089,0.08865009,0.8349874,0.006608992,0.06453417,0.00006482732],"about_ca_topic_score_codex":0.00019744616,"about_ca_topic_score_gemma":0.00039829564,"teacher_disagreement_score":0.0026924147,"about_ca_system_score_codex":0.00030495386,"about_ca_system_score_gemma":0.00028526763,"threshold_uncertainty_score":0.009006977},"labels":[],"label_agreement":null},{"id":"W4391606737","doi":"10.1002/ente.202301123","title":"Optimal Sizing, Gear Ratios, and Shifting Schedule of Battery‐Electric Mining Haul Trucks to Enhance Energy Efficiency","year":2024,"lang":"en","type":"article","venue":"Energy Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Powertrain; Sizing; Automotive engineering; Truck; Battery (electricity); Schedule; Computer science; Fuel efficiency; Differential evolution; Differential (mechanical device); Engineering; Torque; Power (physics); Algorithm","score_opus":0.005711892160393895,"score_gpt":0.253639307284605,"score_spread":0.2479274151242111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391606737","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4755295,0.00054313143,0.510066,0.0001342406,0.000046433743,0.00016003907,0.00009634719,0.00024915359,0.013175184],"genre_scores_gemma":[0.9385935,0.0001884682,0.059371352,0.000014666101,0.0000043380583,0.000070558934,0.0000698338,0.000024401079,0.0016629113],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998356,0.000028536426,0.000008547483,0.000034201283,0.00006065141,0.00003240145],"domain_scores_gemma":[0.9998914,0.0000376093,0.000027745327,0.000008786862,0.000024647523,0.000009697625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036624252,0.0006271635,0.00039708096,0.0005161884,0.00022428267,0.00057609484,0.0005248032,0.0003197482,0.00095920847],"category_scores_gemma":[0.00077940396,0.00028144204,0.00039686376,0.0003764821,0.00019442031,0.00045897812,0.00031866023,0.00028948276,0.000154442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006474086,0.000100212,0.0016342022,0.00012483922,0.000019252357,0.00008878341,0.000047564867,0.92839134,0.021607446,0.002507945,0.00039279507,0.045020834],"study_design_scores_gemma":[0.000009459223,0.000068335874,0.0005565817,0.0000035416347,0.000011481957,0.000013493114,0.000023923289,0.9954407,0.0028894627,0.00053670525,0.00044168596,0.0000046467017],"about_ca_topic_score_codex":0.0033891583,"about_ca_topic_score_gemma":0.0045928783,"teacher_disagreement_score":0.0033891583,"about_ca_system_score_codex":0.00049728574,"about_ca_system_score_gemma":0.0007607,"threshold_uncertainty_score":0.0067388415},"labels":[],"label_agreement":null},{"id":"W4391620768","doi":"10.11159/jffhmt.2024.004","title":"Optimal Control for Thermal Management of Li-ion Batteries via Temperature-Responsive Coolant Flow","year":2024,"lang":"en","type":"article","venue":"Journal of Fluid Flow Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Indian Institute of Technology Bombay","keywords":"Coolant; Thermal management of electronic devices and systems; Nuclear engineering; Materials science; Ion; Thermal; Temperature control; Flow (mathematics); Flow control (data); Mechanics; Mechanical engineering; Automotive engineering; Environmental science; Computer science; Thermodynamics; Engineering; Chemistry; Physics; Telecommunications","score_opus":0.007703105596573441,"score_gpt":0.23601200577714782,"score_spread":0.22830890018057437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391620768","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18200123,0.001309668,0.8028656,0.00034210065,0.000100346035,0.0001814817,0.000091123235,0.00047209684,0.0126363225],"genre_scores_gemma":[0.96945524,0.0003308043,0.02763883,0.00003269841,0.000011885892,0.00012973188,0.000035453126,0.000036507085,0.0023287588],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980825,0.000047694146,0.000009018082,0.00003799964,0.00005532138,0.000041714902],"domain_scores_gemma":[0.99963796,0.00023533656,0.0000495973,0.00000879341,0.000054978795,0.000013413645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075166085,0.0007956659,0.00068863464,0.00041073773,0.00034276285,0.0012081112,0.00063483266,0.0006252737,0.0013908368],"category_scores_gemma":[0.0011706337,0.000477389,0.00046418363,0.0002569763,0.0007037152,0.000587478,0.00057292735,0.00068701815,0.0001485086],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007546987,0.00004238016,0.00016074738,0.0000839984,0.000012078312,0.000023676437,0.000034123834,0.9825356,0.0074466243,0.0017266866,0.00017012151,0.0076884036],"study_design_scores_gemma":[0.000010587935,0.000041856376,0.00007912113,0.0000042890647,0.0000067095166,0.0000029057762,0.0000077646555,0.9972077,0.0018670878,0.0005020873,0.00026553072,0.0000043305236],"about_ca_topic_score_codex":0.0056776907,"about_ca_topic_score_gemma":0.0056836754,"teacher_disagreement_score":0.0056776907,"about_ca_system_score_codex":0.0010171236,"about_ca_system_score_gemma":0.001108795,"threshold_uncertainty_score":0.011289299},"labels":[],"label_agreement":null},{"id":"W4391636449","doi":"10.1149/1945-7111/ad27b6","title":"Impact of Electrolyte Volume on the Cycling Performance and Impedance Growth of 18650 Li-ion Cells","year":2024,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"E-One Moli Energy (Canada); University of British Columbia","funders":"","keywords":"Cycling; Electrolyte; Volume (thermodynamics); Materials science; Ion; Chemical engineering; Chemistry; Thermodynamics; Electrode; Engineering; History; Organic chemistry; Archaeology","score_opus":0.006143337818345869,"score_gpt":0.24330801453769224,"score_spread":0.23716467671934638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391636449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99784505,0.0005372571,0.00067034404,0.000035103792,0.000009396417,0.000008028968,0.00016722092,0.000041518997,0.0006860782],"genre_scores_gemma":[0.9983236,0.00024147046,0.0005524055,0.00002681992,0.000002987566,0.00000797633,0.00016004837,0.000019081266,0.00066553464],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996443,0.000048269147,0.00004546743,0.00005902171,0.00014240961,0.000060550115],"domain_scores_gemma":[0.99945754,0.0002662062,0.000082446466,0.000056998488,0.000103024875,0.000033770906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034917367,0.0002784581,0.0003367847,0.0003300023,0.00017173195,0.0007914621,0.0003391608,0.0003328641,0.001211581],"category_scores_gemma":[0.0011740084,0.00011897933,0.00018913817,0.0004967554,0.00031946483,0.00052921684,0.00039213506,0.00028918567,0.00023799083],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028094908,0.00003190109,0.0026490528,0.00007321024,0.000016528586,0.00013155743,0.00012716204,0.0010418972,0.9880789,0.00007708672,0.000057865047,0.007433925],"study_design_scores_gemma":[0.0000057620377,0.0006194004,0.010159435,0.000008894426,0.00002148906,0.00011366325,0.00013197974,0.0017361353,0.98564374,0.000051059567,0.0014935295,0.000014872677],"about_ca_topic_score_codex":0.0008687339,"about_ca_topic_score_gemma":0.0015880482,"teacher_disagreement_score":0.001211581,"about_ca_system_score_codex":0.00024175778,"about_ca_system_score_gemma":0.00014777434,"threshold_uncertainty_score":0.0040531754},"labels":[],"label_agreement":null},{"id":"W4391640232","doi":"10.1149/ma2023-023445mtgabs","title":"Quantifying the Effects of Temperature and Depth of Discharge on Li-Ion Battery Heat Generation: An Assessment of Resistance Models for Accurate Thermal Behavior Prediction","year":2023,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Thermal; Materials science; Ion; Heat generation; Thermal resistance; Nuclear engineering; Environmental science; Thermodynamics; Chemistry; Engineering; Physics","score_opus":0.048660286633668406,"score_gpt":0.33575713567300997,"score_spread":0.2870968490393416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391640232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6500509,0.0055248383,0.32535523,0.00058148074,0.00015654998,0.00021850628,0.0009404831,0.0017410874,0.015430907],"genre_scores_gemma":[0.98895127,0.001290354,0.0075171096,0.000046423087,0.000016642378,0.000105129926,0.000329918,0.00007232244,0.0016708656],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975234,0.000045044828,0.000016918864,0.00005360727,0.00010373623,0.0000284192],"domain_scores_gemma":[0.999193,0.0004598867,0.00007497867,0.00008520921,0.00016743419,0.000019478419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006151578,0.00097243,0.00066843955,0.00046450275,0.00024844983,0.00089220825,0.0009708909,0.0010855384,0.001014513],"category_scores_gemma":[0.002264559,0.0003975518,0.0010472334,0.00044027943,0.00037451007,0.0014017546,0.0004716163,0.00075971795,0.00047579626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011165179,0.000099917015,0.003563088,0.00021224977,0.00003686189,0.00007689729,0.00007717838,0.95454323,0.015174653,0.001331206,0.0006591015,0.024113882],"study_design_scores_gemma":[0.0000034648729,0.00004484599,0.0006564447,0.0000085597985,0.000015759742,0.00001638937,0.000010900725,0.99503267,0.0035011002,0.0002694393,0.00043193044,0.000008570172],"about_ca_topic_score_codex":0.0049344464,"about_ca_topic_score_gemma":0.0030652785,"teacher_disagreement_score":0.0049344464,"about_ca_system_score_codex":0.00069449673,"about_ca_system_score_gemma":0.0004719041,"threshold_uncertainty_score":0.009811461},"labels":[],"label_agreement":null},{"id":"W4391640443","doi":"10.1149/ma2023-022234mtgabs","title":"(Olin Palladium Award Address) Our Path to Long Lifetime Li-ion and Na-ion Cells","year":2023,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Palladium; Ion; Path (computing); Materials science; Chemistry; Computer science; Operating system","score_opus":0.01964271835856904,"score_gpt":0.27305259119349023,"score_spread":0.2534098728349212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391640443","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0066323564,0.085193686,0.022999376,0.4312069,0.11945331,0.00014756563,0.0017521917,0.002400238,0.3302143],"genre_scores_gemma":[0.021844273,0.029339945,0.00866662,0.02751399,0.011735574,0.00007160545,0.0005405958,0.00061398424,0.8996734],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99953127,0.000037920414,0.000016255406,0.00008817635,0.00024859485,0.00007784653],"domain_scores_gemma":[0.999419,0.000052025494,0.000015546695,0.000029172135,0.00022950872,0.00025491085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009985861,0.00053433777,0.00039256123,0.0006583225,0.0013219977,0.0029966629,0.0007473325,0.0019181016,0.070225395],"category_scores_gemma":[0.0008623748,0.00023732623,0.00030570576,0.00042100382,0.00060066377,0.003399779,0.0015752729,0.00418615,0.051186074],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065714004,0.000054791028,0.00028165153,0.000107074484,0.0000049486657,0.00008778356,0.00007129516,0.000094018455,0.0023144647,0.019428127,0.8661471,0.11134303],"study_design_scores_gemma":[0.0000051838965,0.000033766715,0.00009877519,0.000030119476,0.000001645987,0.000083147075,0.000045496836,0.00006863334,0.0012842964,0.0038581528,0.99448293,0.000007820116],"about_ca_topic_score_codex":0.0011694763,"about_ca_topic_score_gemma":0.0021921708,"teacher_disagreement_score":0.070225395,"about_ca_system_score_codex":0.001315027,"about_ca_system_score_gemma":0.0010102979,"threshold_uncertainty_score":0.2349273},"labels":[],"label_agreement":null},{"id":"W4391662520","doi":"10.1149/ma2023-022429mtgabs","title":"Understanding the Self-Discharge Redox Shuttle Mechanism of Dimethyl Terephthalate in Lithium-Ion Batteries","year":2023,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Lithium (medication); Redox; Ion; Mechanism (biology); Chemistry; Materials science; Inorganic chemistry; Organic chemistry; Physics; Medicine","score_opus":0.04535611505857595,"score_gpt":0.27449238023677225,"score_spread":0.2291362651781963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391662520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6664172,0.24040927,0.084127344,0.001141464,0.00035716264,0.0002786747,0.0006470755,0.00038666988,0.006235208],"genre_scores_gemma":[0.88161635,0.098560974,0.0162767,0.00022864612,0.0003796316,0.00013777042,0.0004207095,0.000040793733,0.002338498],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998584,0.000014611191,0.000013438115,0.000037831305,0.00005501704,0.00002057076],"domain_scores_gemma":[0.99990976,0.000037341804,0.00002068963,0.0000066184684,0.00001974689,0.000005776823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003611183,0.00071030203,0.0007253005,0.00041075985,0.0002336245,0.0007716196,0.0012389933,0.001328753,0.0009909968],"category_scores_gemma":[0.0003654792,0.00040757272,0.00035787854,0.0004088649,0.0005310724,0.0026033078,0.00031934393,0.0010348512,0.00055931497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019803927,0.0001651453,0.0015941194,0.0030136926,0.0000370506,0.0006031439,0.0001866691,0.007736058,0.9349774,0.010756167,0.00032029202,0.040412176],"study_design_scores_gemma":[0.000027871578,0.00049179,0.0032149132,0.00012415947,0.00006356571,0.0010284915,0.00018425424,0.06844786,0.90571475,0.0078065977,0.0128383,0.000057408815],"about_ca_topic_score_codex":0.00058337214,"about_ca_topic_score_gemma":0.0004473378,"teacher_disagreement_score":0.001328753,"about_ca_system_score_codex":0.0008475133,"about_ca_system_score_gemma":0.00023073584,"threshold_uncertainty_score":0.0061492324},"labels":[],"label_agreement":null},{"id":"W4391663160","doi":"10.1149/ma2023-022434mtgabs","title":"How to Make a Single-Layer Pouch Cell That Matches the Performance of a Commercial Li-Ion Cell","year":2023,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Layer (electronics); Pouch; Ion; Cell; Materials science; Computer science; Nanotechnology; Chemistry; Biology; Anatomy; Biochemistry","score_opus":0.039604521885398224,"score_gpt":0.25095504021218346,"score_spread":0.21135051832678522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391663160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7688925,0.006311935,0.19669667,0.0024114007,0.0040449025,0.0010030773,0.0012994607,0.0030111063,0.016328862],"genre_scores_gemma":[0.701327,0.0029149821,0.28856567,0.0005128265,0.00021561759,0.0005141382,0.0008026506,0.0005286293,0.0046184575],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996551,0.000023085968,0.000032523694,0.000067369976,0.00017425964,0.000047691025],"domain_scores_gemma":[0.99920624,0.00010074656,0.00009211167,0.00016465453,0.0003354048,0.0001008775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006496549,0.0004960747,0.00074326043,0.0004366783,0.00036699342,0.001133813,0.0008234806,0.0011467328,0.0026573907],"category_scores_gemma":[0.0018830872,0.0003685812,0.00038902674,0.00034476016,0.000298357,0.001555621,0.00046907688,0.0007949747,0.0038375075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058596,0.0000927658,0.00088069873,0.00045019176,0.000021227184,0.00023505914,0.0000665373,0.0012433026,0.966354,0.0012457067,0.0017037244,0.02764823],"study_design_scores_gemma":[0.000043838576,0.00053120946,0.0021015613,0.000066743865,0.000060447004,0.00073522655,0.00014928255,0.010176613,0.9622573,0.0006251416,0.023189215,0.00006341054],"about_ca_topic_score_codex":0.0002935141,"about_ca_topic_score_gemma":0.00059276586,"teacher_disagreement_score":0.0026573907,"about_ca_system_score_codex":0.00024534235,"about_ca_system_score_gemma":0.0003704657,"threshold_uncertainty_score":0.008889854},"labels":[],"label_agreement":null},{"id":"W4391669273","doi":"10.1016/j.apenergy.2024.122803","title":"Rapid prediction of particle-scale state-of-lithiation in Li-ion battery microstructures using convolutional neural networks","year":2024,"lang":"en","type":"article","venue":"Applied Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canarie","keywords":"Mean squared error; Convolutional neural network; Battery (electricity); Particle (ecology); State of charge; Scale (ratio); Algorithm; Microstructure; Computer science; Materials science; Artificial intelligence; Mathematics; Physics; Statistics; Thermodynamics; Composite material","score_opus":0.013275921888312073,"score_gpt":0.23020863570914163,"score_spread":0.21693271382082957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391669273","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86461395,0.0002193965,0.13261354,0.0001653912,0.000019938758,0.000024415756,0.00018252729,0.0005859066,0.0015749662],"genre_scores_gemma":[0.9921159,0.000047643607,0.007261018,0.000012715052,0.0000020588507,0.000013219419,0.00007855605,0.000012776021,0.00045619547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999665,0.000004429094,0.0000022167178,0.000010415198,0.0000087573035,0.000007644151],"domain_scores_gemma":[0.99984765,0.00007231783,0.000026836948,0.000013108242,0.00003057892,0.000009488695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001919061,0.00035137613,0.0002342077,0.00021206483,0.00013699819,0.0003285213,0.0004298337,0.00045112483,0.00033865013],"category_scores_gemma":[0.00064571516,0.00027648194,0.00027921784,0.00015686566,0.00026687834,0.00044059957,0.0002264944,0.00038563047,0.000071195565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028410619,0.000018663153,0.0019592515,0.000015974407,0.000010362053,0.00003171998,0.000015554335,0.9855849,0.0078099975,0.00040646124,0.000065890694,0.004052875],"study_design_scores_gemma":[5.211748e-7,0.0000026135592,0.00017556167,3.4875254e-7,5.6455434e-7,0.0000014670921,7.850854e-7,0.99895906,0.00079762976,0.000048379847,0.000012307852,7.396022e-7],"about_ca_topic_score_codex":0.010416489,"about_ca_topic_score_gemma":0.010752547,"teacher_disagreement_score":0.010416489,"about_ca_system_score_codex":0.001122407,"about_ca_system_score_gemma":0.00058087654,"threshold_uncertainty_score":0.02071172},"labels":[],"label_agreement":null},{"id":"W4391799569","doi":"10.1016/j.electacta.2024.143953","title":"Online state estimation of Li-ion batteries using continuous-discrete nonlinear Kalman filters based on a nonlinear simplified electrochemical model","year":2024,"lang":"en","type":"article","venue":"Electrochimica Acta","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nonlinear system; Kalman filter; Electrochemistry; Extended Kalman filter; Nonlinear model; Control theory (sociology); Ion; Moving horizon estimation; State (computer science); Computer science; Materials science; Electrode; Chemistry; Algorithm; Physics; Artificial intelligence","score_opus":0.014435802416426623,"score_gpt":0.27915156091779625,"score_spread":0.26471575850136964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391799569","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.071759,0.00046823567,0.9251068,0.00015705662,0.000059173402,0.000021165655,0.00007106553,0.00041864277,0.0019388397],"genre_scores_gemma":[0.9744862,0.00029474002,0.02314061,0.000033022745,0.00002208131,0.00003798836,0.00011164037,0.000016525699,0.0018572283],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989486,0.000015763853,0.000008881699,0.000032322878,0.0000364512,0.000011599085],"domain_scores_gemma":[0.9997383,0.00011912399,0.000037717076,0.000026176556,0.00006921775,0.000009475783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021973999,0.00035368904,0.0006505973,0.00017988883,0.00030503148,0.00063780125,0.0004641272,0.00045247344,0.00080652273],"category_scores_gemma":[0.000968331,0.0003087649,0.0003460797,0.00020465301,0.00033443607,0.00078124437,0.00045974308,0.00058568007,0.00027431236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020119059,0.000050343526,0.0020435685,0.00016262951,0.000059806032,0.000071338705,0.00013041477,0.8950099,0.013823132,0.0034445794,0.0005970289,0.084406145],"study_design_scores_gemma":[0.000004529402,0.0000102260465,0.0003449524,0.000002402452,0.0000059513336,0.0000069997905,0.0000033258975,0.9980331,0.0009965844,0.00039398108,0.00019332432,0.000004669037],"about_ca_topic_score_codex":0.011639239,"about_ca_topic_score_gemma":0.009207756,"teacher_disagreement_score":0.011639239,"about_ca_system_score_codex":0.00046499938,"about_ca_system_score_gemma":0.00063881476,"threshold_uncertainty_score":0.023142993},"labels":[],"label_agreement":null},{"id":"W4391851541","doi":"10.1109/sgre59715.2024.10428728","title":"A Solid State Transformer-based Charging Station for Catering Heavy/Medium and Light Electric Vehicles","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Transformer; Automotive engineering; Solid-state; Electrical engineering; Environmental science; Computer science; Materials science; Engineering physics; Engineering; Voltage","score_opus":0.013579510750846511,"score_gpt":0.28829452176517406,"score_spread":0.27471501101432755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391851541","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14980936,0.00045005133,0.8068285,0.00036236,0.00044124303,0.00032937955,0.0006101587,0.00541913,0.03574985],"genre_scores_gemma":[0.9639483,0.0001920022,0.025932241,0.0000916898,0.00003539747,0.00004820345,0.000351581,0.000040311228,0.009360195],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986374,0.00002524206,0.000012144559,0.000022419557,0.000057706464,0.000018712619],"domain_scores_gemma":[0.9998765,0.00001289572,0.000013878459,0.000023038576,0.000057798356,0.000015903903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001332804,0.00029817387,0.00024971657,0.00032470073,0.00032160484,0.0004779249,0.0010418583,0.00044037955,0.0059550167],"category_scores_gemma":[0.00020380302,0.00012778793,0.0002955122,0.00046879996,0.00019023022,0.0008163063,0.00044165397,0.0003826755,0.002248886],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014076611,0.00044162464,0.010179137,0.0010609018,0.00015133711,0.0011706213,0.0003071493,0.052469954,0.3107076,0.03642706,0.029572256,0.5561046],"study_design_scores_gemma":[0.00036639022,0.0030498763,0.00524797,0.000098141514,0.00026239225,0.0043363767,0.00034421784,0.5096758,0.28329816,0.010224263,0.18297616,0.000120295284],"about_ca_topic_score_codex":0.00080816605,"about_ca_topic_score_gemma":0.0011328581,"teacher_disagreement_score":0.0059550167,"about_ca_system_score_codex":0.0002993531,"about_ca_system_score_gemma":0.00044628858,"threshold_uncertainty_score":0.019921482},"labels":[],"label_agreement":null},{"id":"W4391871086","doi":"10.1016/j.jpowsour.2024.234111","title":"Battery safety: Fault diagnosis from laboratory to real world","year":2024,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":169,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Fault (geology); Forensic engineering; Engineering; Automotive engineering; Reliability engineering; Computer security; Computer science; Environmental science; Power (physics)","score_opus":0.010454027846905828,"score_gpt":0.26994903040268214,"score_spread":0.2594950025557763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391871086","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050235786,0.19019249,0.702689,0.015226122,0.0018673638,0.0003042689,0.0027643524,0.0045969053,0.032123677],"genre_scores_gemma":[0.77181137,0.10886432,0.10798761,0.0034163024,0.0015489134,0.00026244135,0.0019176491,0.00025534694,0.0039360453],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99918956,0.00017286422,0.00006489793,0.0001844862,0.00033413942,0.000054055523],"domain_scores_gemma":[0.99766964,0.001099473,0.0002771497,0.00024293603,0.0006315961,0.000079179525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013537942,0.0011093783,0.001158312,0.0023655365,0.00047412902,0.002727613,0.001863581,0.0017840186,0.0016764754],"category_scores_gemma":[0.004390354,0.00037699676,0.000654965,0.0015051105,0.0017132302,0.0040639495,0.0016251766,0.001397116,0.0007172962],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031048013,0.00023308395,0.023799447,0.008840434,0.00042808597,0.0010763938,0.00080730964,0.10876156,0.019877031,0.07045592,0.034307256,0.73110306],"study_design_scores_gemma":[0.000070182105,0.00055444293,0.017408604,0.0035902166,0.0005038065,0.003018325,0.0024655815,0.42238757,0.043503646,0.33923346,0.16696872,0.00029543063],"about_ca_topic_score_codex":0.0039128177,"about_ca_topic_score_gemma":0.0032927464,"teacher_disagreement_score":0.0039128177,"about_ca_system_score_codex":0.0016180883,"about_ca_system_score_gemma":0.0012285507,"threshold_uncertainty_score":0.011740088},"labels":[],"label_agreement":null},{"id":"W4391916406","doi":"","title":"Adaptive frequency control strategy for the propulsion management of a long-endurance drone using hybrid power sources","year":2023,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National d'Excellence en Santé et en Services Sociaux","funders":"","keywords":"Drone; Propulsion; Power (physics); Aeronautics; Control (management); Computer science; Power management; Adaptive control; Automotive engineering; Automatic frequency control; Aerospace engineering; Engineering; Telecommunications; Artificial intelligence; Physics","score_opus":0.024690980474450595,"score_gpt":0.2560878317268112,"score_spread":0.23139685125236062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391916406","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31383935,0.0009671064,0.6642419,0.0004128767,0.00034353312,0.00009843256,0.00006958553,0.0004046485,0.019622568],"genre_scores_gemma":[0.9939074,0.000089534136,0.004000077,0.000025115916,0.000030126024,0.000025266356,0.000014852276,0.0000057461493,0.0019019501],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992895,0.000011192473,0.00000571017,0.000019069637,0.000018737037,0.000016347441],"domain_scores_gemma":[0.9998776,0.000033120483,0.000023122642,0.0000066823563,0.000047715836,0.000011854031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014943276,0.0004939747,0.0004459067,0.00036427964,0.00049134373,0.00060874276,0.0005194333,0.00048191406,0.0016873315],"category_scores_gemma":[0.00022966454,0.00013495673,0.00021851773,0.00025836853,0.00024371175,0.00025596446,0.0004424504,0.00031720925,0.00022993206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007830492,0.00020907044,0.002477847,0.00044266504,0.00019881799,0.0010108743,0.0004446479,0.69882137,0.09101278,0.006741193,0.0030207192,0.19483696],"study_design_scores_gemma":[0.000037534963,0.00022817892,0.00093330035,0.000015539948,0.000033823486,0.0000636127,0.000051658193,0.9947072,0.0021530017,0.00069920666,0.0010664874,0.000010453534],"about_ca_topic_score_codex":0.0032778862,"about_ca_topic_score_gemma":0.0035460517,"teacher_disagreement_score":0.0032778862,"about_ca_system_score_codex":0.00016646013,"about_ca_system_score_gemma":0.00018378178,"threshold_uncertainty_score":0.0065176487},"labels":[],"label_agreement":null},{"id":"W4392010986","doi":"10.1016/j.est.2024.110928","title":"Investigation of the thermal performance of biomimetic minichannel-based liquid-cooled large format pouch battery pack","year":2024,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Department of Science and Technology, Ministry of Science and Technology, India; Indian National Science Academy","keywords":"Coolant; Battery pack; Materials science; Pressure drop; Computer cooling; Thermal; Nuclear engineering; Volumetric flow rate; Pouch; Working fluid; Parametric statistics; Thermodynamics; Mechanical engineering; Mechanics; Battery (electricity); Engineering; Thermal management of electronic devices and systems; Physics; Power (physics); Mathematics","score_opus":0.01298533817829054,"score_gpt":0.22762200316652575,"score_spread":0.21463666498823522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392010986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980081,0.00027137232,0.0011544977,0.000023300117,0.000021126589,0.000005438557,0.00008205021,0.000031156025,0.00040298962],"genre_scores_gemma":[0.9972498,0.00024781766,0.0007546665,0.000014578922,0.000004998293,0.000012360056,0.00009993888,0.000011802622,0.0016040846],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999305,0.0000054772195,0.000004143058,0.000015168283,0.000027618164,0.000017076294],"domain_scores_gemma":[0.9999025,0.000025373516,0.000016716675,0.000008732084,0.00003827514,0.000008477175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014020203,0.00015025274,0.00017604697,0.00011693606,0.00012310792,0.00025644494,0.0002455869,0.00024278846,0.0015708618],"category_scores_gemma":[0.00025559985,0.00011167204,0.00014512174,0.00016682624,0.00014692164,0.0005316609,0.00015129462,0.00019730745,0.00029349732],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018800123,0.000020083164,0.00036495124,0.0000674187,0.0000044843837,0.000041713967,0.000029210607,0.0003244475,0.9964258,0.000108523636,0.00010849477,0.0023167713],"study_design_scores_gemma":[0.0000059481636,0.0003369519,0.0019765338,0.0000041901117,0.000010055611,0.00004703718,0.0000450281,0.0031352516,0.99375474,0.000019737843,0.0006565949,0.00000790808],"about_ca_topic_score_codex":0.00023320566,"about_ca_topic_score_gemma":0.00041633908,"teacher_disagreement_score":0.0015708618,"about_ca_system_score_codex":0.0001193063,"about_ca_system_score_gemma":0.00012426493,"threshold_uncertainty_score":0.0052550435},"labels":[],"label_agreement":null},{"id":"W4392152408","doi":"10.1109/globecom54140.2023.10436949","title":"RLC: A Reinforcement Learning Based Charging Scheme for Battery Swap Stations","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Reinforcement learning; Swap (finance); Computer science; RLC circuit; Scheme (mathematics); Battery (electricity); Electrical engineering; Engineering; Voltage; Artificial intelligence; Capacitor; Business; Physics; Mathematics","score_opus":0.03520789372318988,"score_gpt":0.30142627725535603,"score_spread":0.26621838353216615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392152408","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041113224,0.00055277796,0.948922,0.00043061704,0.00017622721,0.000118394506,0.00011577947,0.0018563108,0.006714626],"genre_scores_gemma":[0.93873626,0.00016719833,0.05666143,0.00028429137,0.000039607516,0.000116565934,0.00012859078,0.000083190804,0.0037828593],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961627,0.00008702905,0.00002391823,0.0000928607,0.000096887125,0.00008302929],"domain_scores_gemma":[0.9993591,0.00022313655,0.00008492359,0.000058088866,0.00019260812,0.00008213245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071458827,0.00087330816,0.00089287583,0.00033600474,0.0004284124,0.0005273193,0.0017790418,0.00091982447,0.0037963018],"category_scores_gemma":[0.0019620154,0.0002914487,0.00041184554,0.00032244663,0.00061294116,0.00087667105,0.001022135,0.0014102724,0.00063622487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025107173,0.00020230343,0.0013700008,0.000095822645,0.000044638444,0.00017127697,0.00008127927,0.84916043,0.00462796,0.00696481,0.0051983823,0.13183191],"study_design_scores_gemma":[0.000014083432,0.00003390524,0.0000639547,0.0000034324394,0.00000425225,0.000017825994,0.0000045666256,0.9977841,0.0004734217,0.0011399381,0.0004556175,0.0000048561715],"about_ca_topic_score_codex":0.006399032,"about_ca_topic_score_gemma":0.0062741283,"teacher_disagreement_score":0.006399032,"about_ca_system_score_codex":0.00084592303,"about_ca_system_score_gemma":0.0011662818,"threshold_uncertainty_score":0.012723565},"labels":[],"label_agreement":null},{"id":"W4392303520","doi":"10.1016/j.energy.2024.130849","title":"Battery calendar degradation trajectory prediction: Data-driven implementation and knowledge inspiration","year":2024,"lang":"en","type":"article","venue":"Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Prognostics; Battery (electricity); Battery capacity; Trajectory; Flexibility (engineering); Data-driven; Reliability engineering; Process (computing); Computer data storage; Kernel (algebra); Degradation (telecommunications); Support vector machine; Computer science; Energy storage; Engineering; Machine learning; Artificial intelligence; Electrical engineering; Power (physics)","score_opus":0.03597269634401742,"score_gpt":0.3101754642040571,"score_spread":0.2742027678600397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392303520","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10448241,0.00049494556,0.8649091,0.0025381492,0.00016299328,0.0005179827,0.004871943,0.0063152337,0.015707182],"genre_scores_gemma":[0.75843555,0.00034176742,0.23435865,0.00029338375,0.000047927257,0.00026487946,0.0039256536,0.00014467037,0.00218755],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992119,0.000121690544,0.00007079838,0.0002861314,0.00024143445,0.000068020854],"domain_scores_gemma":[0.9958156,0.0018591103,0.00021531674,0.000740144,0.0012340622,0.0001357372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014190092,0.00074845325,0.0008161806,0.0013472032,0.00043783413,0.0021525116,0.0026358324,0.0013641157,0.0037390366],"category_scores_gemma":[0.011368825,0.00043707123,0.0006629384,0.0015086246,0.00050471636,0.0033065968,0.0018730647,0.0016527694,0.0012898657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005977019,0.0015685775,0.025680663,0.0007042562,0.00021259121,0.00045191855,0.0010841065,0.27574837,0.007846531,0.013552162,0.01164182,0.66091126],"study_design_scores_gemma":[0.000029917046,0.000097581884,0.0022375786,0.000084148436,0.00005267462,0.000070559945,0.00022547314,0.97496325,0.005624441,0.012132443,0.0044534844,0.00002843361],"about_ca_topic_score_codex":0.014972522,"about_ca_topic_score_gemma":0.018453985,"teacher_disagreement_score":0.014972522,"about_ca_system_score_codex":0.00094786874,"about_ca_system_score_gemma":0.0022742415,"threshold_uncertainty_score":0.029770732},"labels":[],"label_agreement":null},{"id":"W4392309902","doi":"10.2139/ssrn.4743251","title":"A Controllable Pcm-Based Li-Ion Battery Thermal Management System","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Thermal management of electronic devices and systems; Materials science; Ion; Thermal; Electrical engineering; Computer science; Nuclear engineering; Optoelectronics; Engineering; Mechanical engineering; Chemistry; Physics; Thermodynamics","score_opus":0.007514807567387557,"score_gpt":0.23445385822041334,"score_spread":0.22693905065302578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392309902","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42807117,0.0018332866,0.5025228,0.0005622068,0.0008477961,0.0005132115,0.0015414908,0.020468777,0.043639194],"genre_scores_gemma":[0.96912473,0.0001984339,0.017794073,0.00013702814,0.00008807837,0.00012065723,0.00024905932,0.00014039464,0.012147566],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998343,0.000016234568,0.000010380772,0.000043341504,0.00007816409,0.000017533806],"domain_scores_gemma":[0.99987257,0.00001926234,0.0000137757615,0.000028059756,0.000049499016,0.000016747003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000104059814,0.00034717235,0.00040681034,0.00025235966,0.0004753445,0.00052802014,0.0010871425,0.00027354815,0.008496363],"category_scores_gemma":[0.00020113049,0.00013259663,0.00015451094,0.00027725194,0.0001370391,0.0005796954,0.00047309723,0.00028813878,0.0018932665],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011868237,0.00023628875,0.0012988226,0.0006264299,0.000036798334,0.00035906144,0.00015620713,0.005684551,0.76998913,0.0017708632,0.0063041975,0.21235074],"study_design_scores_gemma":[0.0002709523,0.001425067,0.006381155,0.000056563502,0.00012783924,0.0009676575,0.000095915144,0.18966836,0.74747765,0.0017144599,0.051741384,0.00007298322],"about_ca_topic_score_codex":0.00033658743,"about_ca_topic_score_gemma":0.0006235654,"teacher_disagreement_score":0.008496363,"about_ca_system_score_codex":0.00020480216,"about_ca_system_score_gemma":0.00023117758,"threshold_uncertainty_score":0.02842319},"labels":[],"label_agreement":null},{"id":"W4392310108","doi":"10.2139/ssrn.4743339","title":"Experimental Investigations of a Novel Phase Change Material and Nano Enhanced Phase Change Material Based Passive Battery Thermal Management System for Li-Ion Battery Discharged at a High C Rate","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Phase-change material; Materials science; Phase change; Phase (matter); Thermal; Nano-; Ion; Chemical engineering; Composite material; Chemistry; Thermodynamics; Engineering physics; Engineering; Organic chemistry; Physics; Power (physics)","score_opus":0.029855310137884918,"score_gpt":0.2948548924855375,"score_spread":0.2649995823476526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392310108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901821,0.00028901763,0.0070901094,0.000111415495,0.00007534912,0.00010625806,0.00033076553,0.0002128454,0.0016020944],"genre_scores_gemma":[0.9914215,0.00015300047,0.005366852,0.000036106925,0.000015622338,0.00007368869,0.00014669538,0.000038108374,0.0027484777],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998109,0.000013390657,0.000009941292,0.000059929996,0.0000815163,0.000024436074],"domain_scores_gemma":[0.9997693,0.00004866736,0.000034330766,0.000041278407,0.00008684561,0.00001954333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026372692,0.00030313173,0.0003822343,0.00017653663,0.00040904342,0.00037795104,0.0007807572,0.00048568353,0.002492263],"category_scores_gemma":[0.00039151142,0.00021865821,0.00018702314,0.00023919238,0.00034997187,0.0008140559,0.00024398726,0.00034223095,0.00047748935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016940576,0.00005937702,0.00015673823,0.000092198694,0.0000035568191,0.000035969428,0.000048386006,0.00011267241,0.9969248,0.00010809858,0.000108906526,0.0021800091],"study_design_scores_gemma":[0.000023834496,0.00044416692,0.0010867218,0.0000023050272,0.00000826918,0.0000696753,0.000027647997,0.0016969353,0.9953922,0.00002416702,0.0012178033,0.0000062786157],"about_ca_topic_score_codex":0.0004151604,"about_ca_topic_score_gemma":0.00074320094,"teacher_disagreement_score":0.002492263,"about_ca_system_score_codex":0.00035737432,"about_ca_system_score_gemma":0.00027208275,"threshold_uncertainty_score":0.0083373785},"labels":[],"label_agreement":null},{"id":"W4392381533","doi":"10.3390/batteries10030086","title":"Thermal Performance Analysis of a Prismatic Lithium-Ion Battery Module under Overheating Conditions","year":2024,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Higher Education Discipline Innovation Project; Wuhan University of Technology; Wuhan University; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Overheating (electricity); Thermal; Ion; Lithium-ion battery; Thermal analysis; Materials science; Nuclear engineering; Battery (electricity); Automotive engineering; Computer science; Environmental science; Electrical engineering; Chemistry; Thermodynamics; Physics; Engineering","score_opus":0.016715685141153295,"score_gpt":0.2681056522908598,"score_spread":0.2513899671497065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392381533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961876,0.0002842674,0.0020137082,0.000051218143,0.000020791682,0.000010813796,0.00025481632,0.00013229637,0.0010445043],"genre_scores_gemma":[0.9988028,0.0001101463,0.00038360566,0.000013314346,0.0000041967382,0.000009997627,0.00009081824,0.000015070635,0.00057014136],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997814,0.000020910777,0.000014342573,0.000052140393,0.00009033839,0.000040862553],"domain_scores_gemma":[0.99962974,0.00009542316,0.00005726075,0.000040906572,0.000148435,0.000028092403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024776522,0.00042357252,0.0005107231,0.00042525033,0.00033656866,0.00031033906,0.0006225556,0.00044453779,0.0022432115],"category_scores_gemma":[0.0004961492,0.0001995616,0.0004030414,0.00053441006,0.00031268527,0.0006226289,0.00023708964,0.00029287845,0.0004270379],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001273305,0.00013976192,0.010863159,0.00052954064,0.00011168475,0.0007138947,0.00062878086,0.029397327,0.9290889,0.00034487867,0.0009982598,0.025910636],"study_design_scores_gemma":[0.000046938305,0.0029768103,0.062730394,0.000046688296,0.00015912404,0.0005065333,0.0006842065,0.16509154,0.76483244,0.00028297084,0.00254464,0.00009778408],"about_ca_topic_score_codex":0.0011875299,"about_ca_topic_score_gemma":0.0016195317,"teacher_disagreement_score":0.0022432115,"about_ca_system_score_codex":0.00031408021,"about_ca_system_score_gemma":0.00019523097,"threshold_uncertainty_score":0.007504344},"labels":[],"label_agreement":null},{"id":"W4392401786","doi":"10.1002/ente.202301638","title":"Development of a Tool for Sizing and Technical–Financial Analysis of Energy‐Storage Systems Using Batteries","year":2024,"lang":"en","type":"article","venue":"Energy Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Agência Nacional de Energia Elétrica","keywords":"Sizing; Energy storage; Finance; Business; Process engineering; Engineering; Computer science; Systems engineering; Chemistry; Physics","score_opus":0.014326483517655713,"score_gpt":0.2611643060832355,"score_spread":0.24683782256557976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392401786","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005273759,0.00012851106,0.95713866,0.0001035731,0.000052393767,0.0001703726,0.0016027793,0.030865267,0.004664783],"genre_scores_gemma":[0.08172391,0.00040876743,0.90326214,0.000082872175,0.00004565032,0.0006633692,0.0045399894,0.0036474122,0.005625964],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993636,0.00010287588,0.000090672125,0.000086965585,0.0003052961,0.000050572587],"domain_scores_gemma":[0.9982158,0.0010545927,0.00012271787,0.00019193311,0.00036079006,0.000054268312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012869053,0.0020340174,0.00081941386,0.0025155712,0.0004332297,0.0025915424,0.001363084,0.0008288409,0.01623217],"category_scores_gemma":[0.0049199886,0.00083468534,0.0013636773,0.0015010028,0.00024149146,0.001927551,0.0010913823,0.001113498,0.0052715885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032245208,0.00041695285,0.007652232,0.0016338289,0.00033919534,0.0013352145,0.0007622199,0.19033332,0.031146452,0.047298618,0.042015225,0.6767443],"study_design_scores_gemma":[0.0001386461,0.00013056581,0.0022126706,0.0003063468,0.000091735485,0.00070719514,0.00022980143,0.82288045,0.0365444,0.0290958,0.10755435,0.000108001164],"about_ca_topic_score_codex":0.0024117196,"about_ca_topic_score_gemma":0.002566774,"teacher_disagreement_score":0.01623217,"about_ca_system_score_codex":0.00047308236,"about_ca_system_score_gemma":0.0013035963,"threshold_uncertainty_score":0.054301977},"labels":[],"label_agreement":null},{"id":"W4392449876","doi":"10.1109/jestie.2024.3373267","title":"Comprehensive Comparative Analysis of Deep-Learning-Based State-of-Charge Estimation Algorithms for Cloud-Based Lithium-Ion Battery Management Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"State of charge; Charge (physics); Lithium (medication); Ion; State (computer science); Computer science; Algorithm; Battery (electricity); Cloud computing; Lithium-ion battery; Materials science; Chemistry; Physics; Psychology; Operating system","score_opus":0.03998462982034513,"score_gpt":0.3164296630509638,"score_spread":0.2764450332306187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392449876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74099505,0.008260919,0.23270988,0.0005994568,0.00013474298,0.00013569919,0.00034898578,0.0020212112,0.014794019],"genre_scores_gemma":[0.9837007,0.0007526396,0.014263562,0.00004197366,0.000010711487,0.000022335604,0.0002022214,0.000024161234,0.0009817699],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959594,0.00008725499,0.00004521897,0.00004672383,0.00016685313,0.000058152415],"domain_scores_gemma":[0.99875605,0.00064124085,0.00009160188,0.00006872425,0.00041622468,0.000026240923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009670252,0.00062637083,0.0006166782,0.0006949486,0.00026965418,0.0005409296,0.00052527385,0.00043204564,0.0011013856],"category_scores_gemma":[0.0027493734,0.00014604196,0.00035725985,0.0005425655,0.00015186118,0.0008156438,0.00029863475,0.00033127292,0.00016272167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006519091,0.0001810288,0.0071667996,0.00038085371,0.0001621324,0.00008893311,0.000074022915,0.6947673,0.0043896465,0.0018532363,0.0014555474,0.28882864],"study_design_scores_gemma":[0.000008050312,0.00008259683,0.0020834396,0.000011587565,0.00002634179,0.000016623924,0.00002120983,0.99388254,0.0031815611,0.00021999769,0.00046038092,0.000005763854],"about_ca_topic_score_codex":0.016097987,"about_ca_topic_score_gemma":0.010325194,"teacher_disagreement_score":0.016097987,"about_ca_system_score_codex":0.001055097,"about_ca_system_score_gemma":0.00076197216,"threshold_uncertainty_score":0.03200859},"labels":[],"label_agreement":null},{"id":"W4392654438","doi":"10.1016/j.jfranklin.2024.106717","title":"Asynchronous deep reinforcement learning with gradient sharing for State of Charge balancing of multiple batteries in cyber–physical electric vehicles","year":2024,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Asynchronous communication; Reinforcement learning; Cyber-physical system; Asynchronous learning; Computer science; Reinforcement; Charge (physics); State (computer science); Electrical engineering; Engineering; Computer network; Artificial intelligence; Psychology; Physics; Synchronous learning; Mathematics education; Cooperative learning","score_opus":0.010459388923613781,"score_gpt":0.24458355878056545,"score_spread":0.23412416985695167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392654438","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17255813,0.0008662224,0.8189573,0.000643411,0.00020840392,0.000064744454,0.00006142381,0.0005109942,0.0061292616],"genre_scores_gemma":[0.9887016,0.000042463253,0.009788214,0.00005374912,0.000018913404,0.000023787083,0.000021179945,0.000015370535,0.0013347508],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997788,0.000065795895,0.00001036684,0.00004863734,0.000044402794,0.000051939704],"domain_scores_gemma":[0.9993098,0.00043222387,0.000056755696,0.00003218072,0.000120046105,0.000049038397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009105899,0.0006424883,0.00088345195,0.0002547814,0.0003683785,0.000710344,0.0011391639,0.000845751,0.00215793],"category_scores_gemma":[0.0019620117,0.00043683883,0.00032884028,0.000213678,0.00064616546,0.0008337049,0.0009974721,0.0011136296,0.00018477082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086535736,0.000056301174,0.00041601073,0.000029469717,0.00001873243,0.000030707284,0.000027161412,0.9730218,0.0006510175,0.0024295065,0.00062482065,0.022607982],"study_design_scores_gemma":[0.000003186312,0.000008122259,0.000025064028,9.291126e-7,0.0000012942074,0.0000012744695,0.0000015960461,0.9993387,0.00008011567,0.0005066966,0.00003213093,8.2210306e-7],"about_ca_topic_score_codex":0.009977977,"about_ca_topic_score_gemma":0.010932129,"teacher_disagreement_score":0.009977977,"about_ca_system_score_codex":0.0009325733,"about_ca_system_score_gemma":0.0010041748,"threshold_uncertainty_score":0.019839764},"labels":[],"label_agreement":null},{"id":"W4392727657","doi":"10.2514/1.i011250","title":"Electric Motor Chain Modeling Using Artificial Neural Networks and Semi-Empirical Methods","year":2024,"lang":"en","type":"article","venue":"Journal of Aerospace Information Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Canada Research Chairs","keywords":"Propeller; Thrust; Torque; Rotational speed; Battery (electricity); Electric motor; Artificial neural network; MATLAB; Computer science; Engineering; Automotive engineering; Power (physics); Control theory (sociology); Simulation; Mechanical engineering; Artificial intelligence; Marine engineering","score_opus":0.04909438106285224,"score_gpt":0.3543827953054061,"score_spread":0.3052884142425539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392727657","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03041528,0.0005986051,0.96386766,0.000115274495,0.000033203483,0.00007539409,0.00015762888,0.00052622997,0.004210685],"genre_scores_gemma":[0.83320343,0.0010408891,0.15665492,0.00007272202,0.000048275204,0.00053307036,0.0005184963,0.00011372378,0.0078143915],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972075,0.00010232321,0.000023165008,0.000052961655,0.00007593189,0.000024853467],"domain_scores_gemma":[0.99907744,0.0005687315,0.00011986594,0.000041250078,0.00017683372,0.000015883148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007160522,0.00080685096,0.00061764964,0.0008354588,0.0003225967,0.0009458623,0.0011681754,0.0010492152,0.0018923935],"category_scores_gemma":[0.0018308207,0.0005923296,0.00070733525,0.0007343429,0.00037351513,0.000890231,0.0005194858,0.0008031509,0.00050545606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008920321,0.000012235056,0.00020878742,0.000023456552,0.000012006559,0.000012776028,0.000008297709,0.9910828,0.00018198555,0.0008326538,0.00008436193,0.0075318],"study_design_scores_gemma":[4.255192e-7,0.000001881824,0.00002234735,0.0000021136257,7.5912e-7,0.0000012231817,9.4379993e-7,0.9996592,0.000038259474,0.00021335598,0.00005867038,8.4296687e-7],"about_ca_topic_score_codex":0.012520041,"about_ca_topic_score_gemma":0.008660362,"teacher_disagreement_score":0.012520041,"about_ca_system_score_codex":0.00079182425,"about_ca_system_score_gemma":0.0006959149,"threshold_uncertainty_score":0.024894357},"labels":[],"label_agreement":null},{"id":"W4392774086","doi":"10.4271/2023-01-5162","title":"Prediction of Electric Vehicle Price in India using Simple Linear Regression","year":2024,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Simple linear regression; Simple (philosophy); Linear regression; Computer science; Regression; Regression analysis; Proper linear model; Econometrics; Statistics; Machine learning; Mathematics; Bayesian multivariate linear regression","score_opus":0.02006544210921105,"score_gpt":0.28364604563459506,"score_spread":0.263580603525384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392774086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99130225,0.000056209283,0.003979826,0.00012626265,0.00002188177,0.000021401824,0.0016243171,0.0003243044,0.002543496],"genre_scores_gemma":[0.9939885,0.00006790148,0.002381401,0.000012293065,0.0000050401973,0.000012875321,0.0019003283,0.000015489199,0.0016160872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996855,0.00007581582,0.000028096221,0.00007153032,0.00009014195,0.000048936607],"domain_scores_gemma":[0.99905103,0.00050298567,0.0000877435,0.00006547494,0.00026626015,0.000026467314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040678165,0.00048877456,0.00036034983,0.0009471655,0.00018419702,0.0006501076,0.00070068944,0.00036445714,0.0017462001],"category_scores_gemma":[0.0015131386,0.00021939981,0.0008122467,0.0011202327,0.00019650428,0.00041826442,0.000277285,0.00051990047,0.0009457069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038658507,0.000467619,0.17214961,0.00018699783,0.00016565147,0.00061745045,0.00018687322,0.76352334,0.004692648,0.000964095,0.0037158434,0.05294324],"study_design_scores_gemma":[0.000018859953,0.00019618985,0.106698655,0.000012614847,0.000038205377,0.000069414025,0.00020209911,0.8873366,0.004169973,0.00025017603,0.0009624201,0.000044790784],"about_ca_topic_score_codex":0.067058094,"about_ca_topic_score_gemma":0.035764955,"teacher_disagreement_score":0.067058094,"about_ca_system_score_codex":0.0007870638,"about_ca_system_score_gemma":0.0005012039,"threshold_uncertainty_score":0.13333553},"labels":[],"label_agreement":null},{"id":"W4392811900","doi":"10.2139/ssrn.4759091","title":"Impact of Predictive and Non-Predictive Battery Control Methods on Residential Buildings and a Benchmark Distribution Grid","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Benchmark (surveying); Model predictive control; Grid; Battery (electricity); Control (management); Computer science; Geography; Artificial intelligence; Cartography","score_opus":0.005950012310000501,"score_gpt":0.3094810754180887,"score_spread":0.30353106310808825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392811900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9620336,0.0006972604,0.027421014,0.00036250002,0.000099652294,0.000051427487,0.00027989256,0.00067523326,0.008379346],"genre_scores_gemma":[0.998749,0.000049921604,0.0007327582,0.00000984882,0.000004315,0.000005049887,0.000052474996,0.0000098191285,0.00038677824],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993088,0.00031182848,0.000031490315,0.00008000441,0.00013399545,0.00013387387],"domain_scores_gemma":[0.99571544,0.0030084862,0.00019997633,0.00028386447,0.0006553971,0.0001367716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011478781,0.0007973368,0.0008397507,0.00046605305,0.00043411335,0.001220754,0.00068269967,0.0009682079,0.0016900259],"category_scores_gemma":[0.005191274,0.00023188931,0.00028710332,0.00055248284,0.00081339764,0.00095124287,0.00054167514,0.00073252775,0.00019066366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010678667,0.00013019594,0.0012010484,0.0001312674,0.000029227045,0.00009920733,0.000023851122,0.9833614,0.00119209,0.0007460688,0.00049176946,0.011526024],"study_design_scores_gemma":[0.00007146776,0.000300867,0.00328348,0.000012241451,0.0000363014,0.00003041136,0.00011665406,0.99239457,0.00296886,0.0005373648,0.00023601609,0.0000117203645],"about_ca_topic_score_codex":0.017899321,"about_ca_topic_score_gemma":0.01036236,"teacher_disagreement_score":0.017899321,"about_ca_system_score_codex":0.0007958099,"about_ca_system_score_gemma":0.0005264073,"threshold_uncertainty_score":0.03559029},"labels":[],"label_agreement":null},{"id":"W4392887985","doi":"10.14447/jnmes.v27i1.a05","title":"The Experimental Study on Lead Acid Battery Driven E-Rickshaw Performance Using Capacitor Bank","year":2024,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Lead–acid battery; Battery (electricity); Capacitor; Lead (geology); Automotive engineering; Computer science; Materials science; Electrical engineering; Engineering; Physics; Voltage; Biology; Thermodynamics","score_opus":0.03183195996801168,"score_gpt":0.3033101256119013,"score_spread":0.2714781656438896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392887985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911266,0.00013820082,0.0047905855,0.00009735194,0.000086285814,0.000089980975,0.00050249277,0.00025727213,0.0029112147],"genre_scores_gemma":[0.99450463,0.00015195955,0.0020535397,0.00004607565,0.000008097668,0.00006548133,0.00024294443,0.000029695839,0.0028975548],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99969494,0.000024313047,0.000022676846,0.00007358237,0.00012346325,0.00006106508],"domain_scores_gemma":[0.99962974,0.0000783324,0.000029517447,0.000072913834,0.00016006516,0.000029397605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033010144,0.0005008782,0.0003730774,0.00032377275,0.00037627795,0.0005632591,0.0014067214,0.00066743337,0.005474885],"category_scores_gemma":[0.0007589072,0.00019280279,0.00026702136,0.00045680636,0.00042295296,0.0010532631,0.00045347764,0.000505111,0.0010559387],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010859467,0.00038341386,0.0015244206,0.0005579067,0.000031237778,0.0005324822,0.00025752935,0.003945693,0.9682465,0.0010202118,0.0012529591,0.021161664],"study_design_scores_gemma":[0.0000666844,0.0019856975,0.0032643406,0.000028155015,0.000029176408,0.00021091488,0.00031382314,0.011804761,0.97715193,0.00026601992,0.004842814,0.000035777284],"about_ca_topic_score_codex":0.0008629276,"about_ca_topic_score_gemma":0.0011468999,"teacher_disagreement_score":0.005474885,"about_ca_system_score_codex":0.00025139426,"about_ca_system_score_gemma":0.00031587778,"threshold_uncertainty_score":0.018315375},"labels":[],"label_agreement":null},{"id":"W4392901449","doi":"10.1016/j.ijhydene.2024.03.060","title":"Thermodynamic modeling and analysis of cascade hydrogen refuelling with three-stage pressure and temperature for heavy-duty fuel cell vehicles","year":2024,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"China Scholarship Council; Ministry of Science and Technology of the People's Republic of China; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Cascade; Heavy duty; Stage (stratigraphy); Hydrogen; Fuel cells; Thermodynamics; Environmental science; Nuclear engineering; Chemistry; Materials science; Automotive engineering; Chemical engineering; Physics; Engineering; Geology","score_opus":0.01020326530683637,"score_gpt":0.2527631863009036,"score_spread":0.24255992099406723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392901449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7835324,0.0009934399,0.1754095,0.00048437546,0.0001379629,0.00021468344,0.00046371,0.00048450395,0.038279526],"genre_scores_gemma":[0.9947241,0.00012896695,0.0019989358,0.000011815392,0.0000082892275,0.00003389862,0.00006366712,0.000027174794,0.003003116],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999062,0.0000133707235,0.000003977607,0.000014275746,0.000038639246,0.00002358994],"domain_scores_gemma":[0.9998721,0.00005996231,0.000011800503,0.00000888153,0.000035400342,0.000011883384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024896866,0.0004820231,0.0007372156,0.0004378594,0.0007744576,0.0007543654,0.0011634378,0.0006773588,0.0029860213],"category_scores_gemma":[0.00048405046,0.00043859566,0.0008165879,0.00032242696,0.00051917543,0.00091733143,0.00048843573,0.00046483052,0.00031105828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061533436,0.00007581117,0.0007232994,0.00004000576,0.000011223345,0.00010751024,0.000028955727,0.9828096,0.008814667,0.003047771,0.00019075346,0.0040889224],"study_design_scores_gemma":[0.0000030368476,0.000014913771,0.00024308896,7.376022e-7,0.0000020848454,0.000005606191,0.0000059653403,0.99805117,0.0013337629,0.00022699324,0.000109609435,0.0000030902272],"about_ca_topic_score_codex":0.016120434,"about_ca_topic_score_gemma":0.012731953,"teacher_disagreement_score":0.016120434,"about_ca_system_score_codex":0.00095575245,"about_ca_system_score_gemma":0.0012615619,"threshold_uncertainty_score":0.032053232},"labels":[],"label_agreement":null},{"id":"W4392941447","doi":"10.1109/icses60034.2023.10465407","title":"Analysis and Realization of a Manitoba Converter for Portable Medical Devices","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Realization (probability); Computer science; Mathematics; Statistics","score_opus":0.019639421042662027,"score_gpt":0.2917978375566385,"score_spread":0.2721584165139765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392941447","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2510712,0.004352847,0.4578739,0.0014197804,0.00060890586,0.0009538047,0.00052266027,0.0024855123,0.28071132],"genre_scores_gemma":[0.8462224,0.0016243052,0.07146089,0.00019376834,0.000048771064,0.00017516132,0.00048152942,0.00009087821,0.07970228],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997354,0.00002389208,0.000009792673,0.00004159353,0.00016080719,0.000028571714],"domain_scores_gemma":[0.9998547,0.00001194477,0.000006409631,0.000015207848,0.000102266866,0.000009485405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019772837,0.00044060228,0.0003022919,0.00045328095,0.00059522834,0.001336842,0.0008564889,0.00047473932,0.0078067672],"category_scores_gemma":[0.00035148617,0.00019930149,0.00039570776,0.0004902778,0.00020567494,0.00060297735,0.0002943669,0.00053371367,0.0029281154],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052982464,0.0004259224,0.0074934615,0.0010571041,0.00017981595,0.0033738443,0.0010290655,0.039149478,0.49741036,0.10864107,0.01457194,0.32613805],"study_design_scores_gemma":[0.00009733262,0.0010900035,0.00775921,0.00022008317,0.0001773684,0.00279858,0.0007682843,0.3268054,0.37222865,0.007158747,0.28080255,0.00009389757],"about_ca_topic_score_codex":0.007721953,"about_ca_topic_score_gemma":0.008901463,"teacher_disagreement_score":0.0078067672,"about_ca_system_score_codex":0.0012687366,"about_ca_system_score_gemma":0.0010511711,"threshold_uncertainty_score":0.026116252},"labels":[],"label_agreement":null},{"id":"W4392943926","doi":"10.1109/sgc61621.2023.10459286","title":"Determining Energy Storage Systems Capacity for Preventing Cascading Outages During Primary Control: A Dynamic Study","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Energy storage; Reliability engineering; Engineering; Power (physics)","score_opus":0.020069220095117715,"score_gpt":0.2665498451771667,"score_spread":0.24648062508204896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392943926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8110968,0.001755871,0.17652473,0.00023860518,0.000054927204,0.00014548466,0.00023096873,0.00035577963,0.009596793],"genre_scores_gemma":[0.9982318,0.000105846826,0.0014608472,0.0000042390398,0.000004052693,0.0000073712845,0.0000136366825,0.0000057335287,0.00016649184],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996604,0.000074602314,0.00001621197,0.00006580492,0.00011385945,0.00006922892],"domain_scores_gemma":[0.9981881,0.0012306472,0.00015550421,0.00008944209,0.00028550616,0.000050835195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004716424,0.00058651937,0.0006798607,0.000626524,0.0002978142,0.000769352,0.0005143917,0.000422083,0.0013536718],"category_scores_gemma":[0.0035473362,0.00022706091,0.00028635186,0.0003469571,0.00041918212,0.0010316657,0.0003470727,0.00040716206,0.00013197174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059711793,0.00015925399,0.0050644972,0.00041879804,0.00006523908,0.00029992822,0.000109864755,0.87642735,0.06635345,0.0030206575,0.00049314246,0.046990674],"study_design_scores_gemma":[0.0000213338,0.00048688633,0.004045299,0.000034774916,0.00006855229,0.00013119323,0.00015300103,0.9560546,0.03728621,0.0010285947,0.0006647487,0.00002479224],"about_ca_topic_score_codex":0.003181564,"about_ca_topic_score_gemma":0.002593851,"teacher_disagreement_score":0.003181564,"about_ca_system_score_codex":0.0005880539,"about_ca_system_score_gemma":0.0005528859,"threshold_uncertainty_score":0.006326139},"labels":[],"label_agreement":null},{"id":"W4393012220","doi":"10.26434/chemrxiv-2024-79nbz","title":"Distinguishing Bulk Redox from Near-Surface Degradation in Lithium Nickel Oxide Cathodes","year":2024,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Saskatchewan","funders":"HORIZON EUROPE Marie Sklodowska-Curie Actions; Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; European Commission; Royal Academy of Engineering; European Synchrotron Radiation Facility; UK Research and Innovation; Diamond Light Source","keywords":"Degradation (telecommunications); Nickel; Redox; Lithium (medication); Cathode; Nickel oxide; Materials science; Oxide; Metallurgy; Chemistry; Computer science; Psychology; Telecommunications; Physical chemistry","score_opus":0.02758892785074756,"score_gpt":0.2856678106286591,"score_spread":0.2580788827779115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393012220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906551,0.0013525476,0.0055252006,0.00007191232,0.000014986451,0.000021493299,0.00018306173,0.00017228248,0.0020033417],"genre_scores_gemma":[0.99646854,0.0004485521,0.0016404773,0.000045029847,0.000010717213,0.00001619557,0.00019495453,0.000041354866,0.0011342397],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998037,0.000013252186,0.000010615095,0.000059266345,0.000076573204,0.000036678015],"domain_scores_gemma":[0.99988997,0.000023611525,0.000026614834,0.000012847517,0.00003197888,0.000015052605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019473178,0.0003122441,0.00034031883,0.0003692415,0.00022265209,0.0007878716,0.0002751684,0.00051805406,0.00085189915],"category_scores_gemma":[0.00036221108,0.00016482544,0.00012189868,0.00014964564,0.00031875624,0.00061822654,0.00042653058,0.00038060916,0.00031096785],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113350085,0.000018428924,0.002329388,0.000067686495,0.000006907664,0.00010870945,0.00008088583,0.0001948831,0.99207157,0.00015260618,0.000060400707,0.004795267],"study_design_scores_gemma":[0.0000070319006,0.00012994083,0.00863482,0.000010478341,0.000007737518,0.0003625337,0.00016148589,0.0031143774,0.986024,0.0004452539,0.0010919671,0.000010238081],"about_ca_topic_score_codex":0.0005438627,"about_ca_topic_score_gemma":0.0007226139,"teacher_disagreement_score":0.00085189915,"about_ca_system_score_codex":0.0002528247,"about_ca_system_score_gemma":0.00011157093,"threshold_uncertainty_score":0.0028498769},"labels":[],"label_agreement":null},{"id":"W4393025233","doi":"10.1016/j.jechem.2024.03.013","title":"Insights and reviews on battery lifetime prediction from research to practice","year":2024,"lang":"en","type":"article","venue":"Journal of Energy Chemistry","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Psychology; Physics; Thermodynamics","score_opus":0.02679121561008053,"score_gpt":0.3263321769299291,"score_spread":0.2995409613198486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393025233","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009425758,0.98389196,0.008070413,0.003920603,0.0010362798,0.0000152885,0.000118420874,0.00006581761,0.0019385974],"genre_scores_gemma":[0.01820874,0.9700062,0.0066643576,0.0019631202,0.0019481595,0.000035938654,0.0002804705,0.00004549597,0.00084746064],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979925,0.000558943,0.00026008737,0.0004929301,0.0006022557,0.000093300754],"domain_scores_gemma":[0.9627868,0.030689133,0.0012681488,0.0008435665,0.0041103703,0.0003020016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005587808,0.0013582892,0.0021200941,0.0025432936,0.00030135844,0.0027681894,0.0017567622,0.0017193952,0.0030284813],"category_scores_gemma":[0.03249154,0.00057027437,0.0012486957,0.0034201415,0.0010522357,0.0048435293,0.0012725572,0.002750977,0.0010700449],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017902575,0.00010217763,0.0016094096,0.020193787,0.0003321523,0.000120003795,0.0002092492,0.011183248,0.0011083416,0.023356916,0.044114582,0.8974911],"study_design_scores_gemma":[0.00007609449,0.0004994708,0.0038381582,0.03725295,0.0011110805,0.0005572193,0.0006020431,0.033151705,0.0046601193,0.108512305,0.809516,0.00022277393],"about_ca_topic_score_codex":0.0032148506,"about_ca_topic_score_gemma":0.002710157,"teacher_disagreement_score":0.005587808,"about_ca_system_score_codex":0.0015009979,"about_ca_system_score_gemma":0.002654257,"threshold_uncertainty_score":0.029551446},"labels":[],"label_agreement":null},{"id":"W4393025555","doi":"10.31893/multiscience.2024151","title":"Technical analysis and performance evaluation of retrofitted electric Auto Rickshaws (E-TAR) in rural India","year":2024,"lang":"en","type":"article","venue":"Multidisciplinary Science Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nutrasource","funders":"","keywords":"Government (linguistics); Engineering; Incentive; Business; Environmental economics; Economics","score_opus":0.019393285707260382,"score_gpt":0.3264024537475209,"score_spread":0.3070091680402605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393025555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99568474,0.00007064771,0.0008677172,0.000024020817,0.00000710867,0.000025748906,0.00021790058,0.000060673032,0.003041379],"genre_scores_gemma":[0.9972299,0.00008254491,0.00046718828,0.0000064621004,0.000001527914,0.000010028273,0.00020756914,0.000011040826,0.0019837557],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99948704,0.0000780874,0.000037025442,0.0000768161,0.00022797199,0.00009300316],"domain_scores_gemma":[0.9987991,0.00022097531,0.00014741793,0.00011662507,0.00062349316,0.000092373266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056722405,0.00034314735,0.0002974779,0.0009631366,0.00042702898,0.00082229316,0.0006581393,0.00031996498,0.0016169155],"category_scores_gemma":[0.000882104,0.0001328414,0.00038817176,0.00110198,0.0003604366,0.0005031317,0.00033010362,0.00023924348,0.00094615936],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034542624,0.0021363825,0.3192553,0.0015236309,0.0001699159,0.0036460268,0.0034117312,0.13326792,0.3304729,0.0027202873,0.0044873077,0.19545437],"study_design_scores_gemma":[0.00008797534,0.013793352,0.64255965,0.00009375231,0.00035256884,0.0016325038,0.0131774135,0.080349214,0.23428223,0.0007187741,0.012772451,0.00018009086],"about_ca_topic_score_codex":0.0069521554,"about_ca_topic_score_gemma":0.00885712,"teacher_disagreement_score":0.0069521554,"about_ca_system_score_codex":0.0009140988,"about_ca_system_score_gemma":0.00043024446,"threshold_uncertainty_score":0.01382339},"labels":[],"label_agreement":null},{"id":"W4393074709","doi":"10.1149/1945-7111/ad36e7","title":"Exceptional Performance of Li-ion Battery Cells with Liquid Electrolyte at 100 °C","year":2024,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Electrolyte; Battery (electricity); Ion; Materials science; Chemical engineering; Inorganic chemistry; Chemistry; Thermodynamics; Electrode; Physics; Engineering; Physical chemistry; Organic chemistry","score_opus":0.005895106306775148,"score_gpt":0.21994759862508695,"score_spread":0.2140524923183118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393074709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99690115,0.00043956502,0.0012509146,0.0000617172,0.000019210813,0.0000063387643,0.00028175884,0.000181043,0.0008582848],"genre_scores_gemma":[0.9976718,0.00020475927,0.00077790266,0.000019635016,0.0000046490263,0.000009431025,0.0004093097,0.00003156301,0.0008710589],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979407,0.000011833478,0.00001877665,0.0000319471,0.00009880319,0.000044556302],"domain_scores_gemma":[0.99982077,0.000040777002,0.000016654716,0.000022158021,0.00007571148,0.00002397595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020191293,0.00030010205,0.00044912015,0.00028906303,0.00038630914,0.0007396195,0.0005575566,0.00044333405,0.0010426875],"category_scores_gemma":[0.0005016238,0.00014444541,0.00016687969,0.00048628668,0.0002553614,0.0005191796,0.0003803243,0.0003708924,0.0004364109],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021649708,0.000016360245,0.0012107004,0.00005168156,0.000011203548,0.00017783394,0.000060560888,0.000433833,0.9936748,0.000069238406,0.00013724876,0.0039398423],"study_design_scores_gemma":[0.000009748526,0.00017865482,0.0040974193,0.000007709123,0.000017205948,0.00024697007,0.000042140007,0.002128186,0.9922043,0.0000531537,0.0009979222,0.000016697886],"about_ca_topic_score_codex":0.001220622,"about_ca_topic_score_gemma":0.0023019842,"teacher_disagreement_score":0.001220622,"about_ca_system_score_codex":0.00035097756,"about_ca_system_score_gemma":0.00021547472,"threshold_uncertainty_score":0.003488183},"labels":[],"label_agreement":null},{"id":"W4393114197","doi":"10.1007/978-981-99-9439-7_23","title":"Design and Hardware Implementation of Fuzzy Logic Controller for Boost Converter for Battery Charging Using dSPACE","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in electrical engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"DSPACE; Battery (electricity); Computer science; Fuzzy logic; Controller (irrigation); Computer hardware; Embedded system; Electrical engineering; Engineering; Physics; Power (physics); Artificial intelligence","score_opus":0.02343190541602654,"score_gpt":0.28134869016917485,"score_spread":0.25791678475314833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393114197","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.079051666,0.0013530623,0.8668122,0.00034220266,0.0004692046,0.00049627497,0.0003541512,0.0071285535,0.04399269],"genre_scores_gemma":[0.72726303,0.0004932251,0.23661229,0.00030056984,0.000077963596,0.00022776534,0.0004193373,0.00017652335,0.03442937],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983585,0.000011091976,0.000010592782,0.000032382366,0.00008975299,0.000020292988],"domain_scores_gemma":[0.99987614,0.000019915871,0.00000846175,0.000015297823,0.000072568255,0.0000075295616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016509897,0.00030859155,0.00030497127,0.00034200997,0.00039091022,0.00061056204,0.0011292445,0.0004128778,0.008187627],"category_scores_gemma":[0.000267966,0.00018973116,0.00021170967,0.00024331242,0.000110499015,0.00030585763,0.0002011846,0.00047378766,0.0013432192],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055192754,0.00025200774,0.0010741722,0.0008171817,0.00009985243,0.000359362,0.00023607473,0.024076235,0.40782797,0.007391826,0.009266803,0.5480466],"study_design_scores_gemma":[0.00036328603,0.0015441505,0.004670363,0.00010743714,0.0001468014,0.0013409493,0.00017206252,0.29387695,0.619765,0.0029743183,0.074953824,0.00008491021],"about_ca_topic_score_codex":0.0019474418,"about_ca_topic_score_gemma":0.002798862,"teacher_disagreement_score":0.008187627,"about_ca_system_score_codex":0.00032425838,"about_ca_system_score_gemma":0.0006487893,"threshold_uncertainty_score":0.027390301},"labels":[],"label_agreement":null},{"id":"W4393169821","doi":"10.1051/e3sconf/202450502001","title":"RETRACTED: Integration Challenges and Solutions for Solar-Powered Electric Vehicle Charging Infrastructure: From Panel to Battery","year":2024,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":true,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Battery (electricity); Electric vehicle; Automotive engineering; Solar powered; Engineering; Computer science; Electrical engineering; Solar energy; Physics","score_opus":0.046667222475214896,"score_gpt":0.2733838762331606,"score_spread":0.22671665375794572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393169821","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008261523,0.012310899,0.036086272,0.31089136,0.1884446,0.0004158835,0.0011451755,0.004756236,0.4376881],"genre_scores_gemma":[0.04269513,0.011481393,0.01206938,0.031028533,0.018136049,0.00018491641,0.0019735962,0.0034824961,0.8789484],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99214184,0.0011536445,0.00046439253,0.00038674328,0.005279906,0.0005735319],"domain_scores_gemma":[0.9833277,0.002732999,0.0004939238,0.0018477022,0.01032122,0.001276422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009156699,0.00077453174,0.00051318767,0.0012220319,0.0040752552,0.014135937,0.004513532,0.009629745,0.13183491],"category_scores_gemma":[0.036322888,0.00045277464,0.0009412272,0.0017793922,0.0017891207,0.012791271,0.0047788927,0.008215527,0.07150431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022137463,0.000040282514,0.00018797617,0.0001917171,0.000006559892,0.000504839,0.00061709207,0.00032615787,0.0008286082,0.02142601,0.88891274,0.086936004],"study_design_scores_gemma":[0.0000058851874,0.00003493237,0.000158422,0.00017563869,0.0000050759622,0.00033772687,0.0005495057,0.00039896322,0.0005516304,0.0049324455,0.992833,0.000016767448],"about_ca_topic_score_codex":0.003984143,"about_ca_topic_score_gemma":0.0041525764,"teacher_disagreement_score":0.13183491,"about_ca_system_score_codex":0.002135844,"about_ca_system_score_gemma":0.0058561843,"threshold_uncertainty_score":0.4410317},"labels":[],"label_agreement":null},{"id":"W4393194701","doi":"10.1051/e3sconf/202450611001","title":"Hybrid solar-electric cart efficiency enhancement: A bibliometric analysis","year":2024,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cart; Environmental science; Computer science; Geography; Archaeology","score_opus":0.020062719392613462,"score_gpt":0.28716254437734196,"score_spread":0.2670998249847285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393194701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72817326,0.056120533,0.01590957,0.0061924024,0.00037716844,0.0015946126,0.059670605,0.00094232557,0.13101959],"genre_scores_gemma":[0.93070894,0.02829488,0.014421865,0.00021036707,0.0002953479,0.0007657163,0.021426832,0.00008944233,0.003786725],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9891388,0.0016062761,0.001747706,0.0006856848,0.0063283984,0.0004931681],"domain_scores_gemma":[0.9738392,0.01318496,0.003852716,0.000980829,0.0077250693,0.0004172636],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.007342034,0.0006556898,0.0014047788,0.12402473,0.0011195675,0.0065754936,0.0008345287,0.00060544984,0.004395213],"category_scores_gemma":[0.034674753,0.00024686943,0.0016137641,0.1820142,0.000628044,0.0038673552,0.0019323906,0.0003857687,0.0009740188],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031212578,0.0003295558,0.2791856,0.02087958,0.002072402,0.0009968488,0.005572552,0.0044985414,0.0023919763,0.01374854,0.029808335,0.640204],"study_design_scores_gemma":[0.00011219029,0.00039640305,0.7272095,0.008121959,0.0045089624,0.0017067418,0.020965872,0.02301874,0.0063462215,0.012568785,0.19478627,0.0002584147],"about_ca_topic_score_codex":0.005789741,"about_ca_topic_score_gemma":0.005456808,"teacher_disagreement_score":0.87597525,"about_ca_system_score_codex":0.0027177471,"about_ca_system_score_gemma":0.0047739106,"threshold_uncertainty_score":0.03882891},"labels":[],"label_agreement":null},{"id":"W4393223423","doi":"10.1063/5.0189973","title":"Investigation of the impact of electric vehicles in the distribution system","year":2024,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Association of Nurses in Oncology","funders":"","keywords":"Distribution (mathematics); Computer science; Telecommunications","score_opus":0.0242721739357674,"score_gpt":0.26772048605147925,"score_spread":0.24344831211571186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393223423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873225,0.00020413144,0.0048806504,0.000085389576,0.000018505436,0.000019818193,0.00012855195,0.00006355972,0.0072769104],"genre_scores_gemma":[0.9987607,0.000058276964,0.0002602563,0.000005227489,0.000004572255,0.0000024021454,0.000046408244,0.000006342453,0.000855821],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996711,0.0001206107,0.000009880739,0.00003402877,0.00008985801,0.00007451749],"domain_scores_gemma":[0.998926,0.00067709765,0.000072993396,0.000047131856,0.00022837307,0.00004831153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036308178,0.0003227416,0.00030803075,0.0003424684,0.00025509155,0.0006955827,0.00024752252,0.0003112235,0.0024150533],"category_scores_gemma":[0.0017514103,0.00013426975,0.0002042933,0.00047319735,0.00022873229,0.00059525215,0.00033831794,0.00034734895,0.000210451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006985296,0.00023678201,0.04172722,0.0001941329,0.00012621294,0.0011899219,0.00017978672,0.90608054,0.015956713,0.0025811542,0.0009672473,0.03006181],"study_design_scores_gemma":[0.000017747789,0.0005277401,0.051250953,0.000021859152,0.00009320769,0.00023764788,0.0004848802,0.935859,0.008708062,0.0009995764,0.001780678,0.000018667815],"about_ca_topic_score_codex":0.009149313,"about_ca_topic_score_gemma":0.0050766235,"teacher_disagreement_score":0.009149313,"about_ca_system_score_codex":0.00068207143,"about_ca_system_score_gemma":0.00032246602,"threshold_uncertainty_score":0.018192112},"labels":[],"label_agreement":null},{"id":"W4393423638","doi":"10.5281/zenodo.7613425","title":"Electric Power Fuse Identification with Deep Learning","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Sherbrooke","funders":"","keywords":"Fuse (electrical); Identification (biology); Power (physics); Computer science; Artificial intelligence; Electrical engineering; Engineering; Physics; Biology","score_opus":0.017058381574584936,"score_gpt":0.23563347234699414,"score_spread":0.2185750907724092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393423638","genre_codex":"methods","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042597488,0.0017242163,0.87852854,0.00079118693,0.00047643314,0.00014437098,0.0074876547,0.052936666,0.015313365],"genre_scores_gemma":[0.52498794,0.0016259906,0.37007126,0.00093515014,0.00023334095,0.0003199458,0.045266688,0.002004532,0.05455515],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99973136,0.000023168192,0.000013161378,0.000095705014,0.00008599732,0.000050609917],"domain_scores_gemma":[0.9997186,0.000058065554,0.000026049882,0.00006185103,0.00011554831,0.000019727644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034826843,0.0014965436,0.0005913608,0.0018098138,0.00034542935,0.0011085554,0.0012283138,0.0012451689,0.009983541],"category_scores_gemma":[0.0011849897,0.0006536268,0.0010925765,0.0010343737,0.00023274939,0.0012285806,0.0014005977,0.0013090905,0.009569039],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031224763,0.00021668141,0.0035770054,0.00031532612,0.0001545805,0.00024870786,0.00007044243,0.21032226,0.01564649,0.0020161106,0.065367825,0.7017524],"study_design_scores_gemma":[0.000014520301,0.000048890997,0.0011961869,0.00005961715,0.000027420525,0.000102499434,0.000050199986,0.96970147,0.012730793,0.0043752845,0.011666973,0.000026144893],"about_ca_topic_score_codex":0.0066471174,"about_ca_topic_score_gemma":0.00982062,"teacher_disagreement_score":0.009983541,"about_ca_system_score_codex":0.0006786567,"about_ca_system_score_gemma":0.00066070305,"threshold_uncertainty_score":0.03339827},"labels":[],"label_agreement":null},{"id":"W4393604085","doi":"10.5281/zenodo.7707928","title":"Exothermal data from thermal safety assessment of type 21700 lithium-ion batteries with NMC, NCA and LFP cathodes by means of Accelerating Rate Calorimetry (ARC)","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Lithium (medication); Calorimetry; Arc (geometry); Cathode; Thermal runaway; Ion; Materials science; Chemistry; Physical chemistry; Thermodynamics; Battery (electricity); Engineering; Physics; Mechanical engineering; Organic chemistry","score_opus":0.05756559133160604,"score_gpt":0.28907406724943285,"score_spread":0.2315084759178268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393604085","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23619239,0.0013230504,0.004354982,0.00014492853,0.00012489392,0.00015378353,0.7368195,0.0042463006,0.016640201],"genre_scores_gemma":[0.4167603,0.0020811905,0.0073528574,0.00013030485,0.00006387395,0.0006861555,0.5503015,0.0017571823,0.020866608],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99930406,0.000026743459,0.00009259041,0.000118542,0.0004114335,0.000046582165],"domain_scores_gemma":[0.99850625,0.00044317354,0.00015415011,0.00021358275,0.00063483947,0.000048084104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006251515,0.0009866834,0.0008155991,0.0034559597,0.0006153117,0.0005757622,0.00095289096,0.0005666515,0.051504165],"category_scores_gemma":[0.0013992838,0.00028987162,0.0006624392,0.0051212916,0.00020371852,0.0007712194,0.00039864285,0.00056814874,0.010141698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0054566925,0.00081934396,0.08800386,0.010929138,0.00046630745,0.00259285,0.0012027534,0.015782539,0.25228313,0.0024390346,0.3618637,0.25816065],"study_design_scores_gemma":[0.000106294465,0.001161505,0.13916273,0.00035135646,0.0002720666,0.0031420079,0.00096242165,0.01038462,0.51868457,0.0016484128,0.323842,0.00028200803],"about_ca_topic_score_codex":0.0014630145,"about_ca_topic_score_gemma":0.0026989395,"teacher_disagreement_score":0.051504165,"about_ca_system_score_codex":0.00046208507,"about_ca_system_score_gemma":0.0003461191,"threshold_uncertainty_score":0.17229861},"labels":[],"label_agreement":null},{"id":"W4393712205","doi":"10.5281/zenodo.7867730","title":"Maximum temperature data from thermal safety assessment of type 21700 lithium-ion batteries with NMC, NCA and LFP cathodes by means of Accelerating Rate Calorimetry (ARC)","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Arc (geometry); Lithium (medication); Calorimetry; Cathode; Thermal runaway; Ion; Materials science; Thermal; Nuclear engineering; Chemistry; Thermodynamics; Engineering; Physics; Battery (electricity); Mechanical engineering; Physical chemistry; Psychology","score_opus":0.04254003101229986,"score_gpt":0.2806588320332388,"score_spread":0.23811880102093896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393712205","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016850973,0.00018135016,0.000064973196,0.000027485656,0.000012915778,0.000006735239,0.9972421,0.00027405185,0.0005051952],"genre_scores_gemma":[0.0023599688,0.000114571005,0.00021265044,0.00001807418,0.0000043754585,0.000038979,0.9968458,0.00004208642,0.00036364366],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992174,0.00009372554,0.00011968511,0.00026664397,0.00020509351,0.00009742866],"domain_scores_gemma":[0.9988061,0.00036513363,0.00017211532,0.0002670818,0.00032670537,0.00006272785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000741283,0.0015275344,0.0011374701,0.003077824,0.00043072086,0.0011721366,0.0014080678,0.0012533028,0.013954398],"category_scores_gemma":[0.0024704507,0.0003228856,0.0016110529,0.0045713596,0.0002816439,0.0007662781,0.00087121787,0.0009306814,0.022125768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008403605,0.00015723234,0.018985562,0.007823234,0.00038284875,0.00015654827,0.00009644843,0.0052967677,0.0023424309,0.00090863334,0.94065815,0.022351742],"study_design_scores_gemma":[0.00043851588,0.00013922495,0.06988987,0.0008889666,0.0002508383,0.00030490255,0.00022424011,0.002772139,0.004450678,0.0015682793,0.9189669,0.00010543101],"about_ca_topic_score_codex":0.010490116,"about_ca_topic_score_gemma":0.017474713,"teacher_disagreement_score":0.013954398,"about_ca_system_score_codex":0.00091946736,"about_ca_system_score_gemma":0.00087826996,"threshold_uncertainty_score":0.04668212},"labels":[],"label_agreement":null},{"id":"W4393742996","doi":"10.5281/zenodo.7867729","title":"Maximum temperature data from thermal safety assessment of type 21700 lithium-ion batteries with NMC, NCA and LFP cathodes by means of Accelerating Rate Calorimetry (ARC)","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Lithium (medication); Calorimetry; Arc (geometry); Cathode; Thermal runaway; Ion; Materials science; Thermal; Analytical Chemistry (journal); Nuclear engineering; Chemistry; Thermodynamics; Physical chemistry; Battery (electricity); Physics; Engineering; Mechanical engineering; Chromatography; Organic chemistry","score_opus":0.04254003101229986,"score_gpt":0.2806588320332388,"score_spread":0.23811880102093896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393742996","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016850973,0.00018135016,0.000064973196,0.000027485656,0.000012915778,0.000006735239,0.9972421,0.00027405185,0.0005051952],"genre_scores_gemma":[0.0023599688,0.000114571005,0.00021265044,0.00001807418,0.0000043754585,0.000038979,0.9968458,0.00004208642,0.00036364366],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992174,0.00009372554,0.00011968511,0.00026664397,0.00020509351,0.00009742866],"domain_scores_gemma":[0.9988061,0.00036513363,0.00017211532,0.0002670818,0.00032670537,0.00006272785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000741283,0.0015275344,0.0011374701,0.003077824,0.00043072086,0.0011721366,0.0014080678,0.0012533028,0.013954398],"category_scores_gemma":[0.0024704507,0.0003228856,0.0016110529,0.0045713596,0.0002816439,0.0007662781,0.00087121787,0.0009306814,0.022125768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008403605,0.00015723234,0.018985562,0.007823234,0.00038284875,0.00015654827,0.00009644843,0.0052967677,0.0023424309,0.00090863334,0.94065815,0.022351742],"study_design_scores_gemma":[0.00043851588,0.00013922495,0.06988987,0.0008889666,0.0002508383,0.00030490255,0.00022424011,0.002772139,0.004450678,0.0015682793,0.9189669,0.00010543101],"about_ca_topic_score_codex":0.010490116,"about_ca_topic_score_gemma":0.017474713,"teacher_disagreement_score":0.013954398,"about_ca_system_score_codex":0.00091946736,"about_ca_system_score_gemma":0.00087826996,"threshold_uncertainty_score":0.04668212},"labels":[],"label_agreement":null},{"id":"W4393793322","doi":"10.5281/zenodo.7707929","title":"Exothermal data from thermal safety assessment of type 21700 lithium-ion batteries with NMC, NCA and LFP cathodes by means of Accelerating Rate Calorimetry (ARC)","year":2023,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Lithium (medication); Calorimetry; Arc (geometry); Cathode; Thermal runaway; Ion; Materials science; Chemistry; Physical chemistry; Thermodynamics; Battery (electricity); Engineering; Physics; Mechanical engineering; Organic chemistry","score_opus":0.05756559133160604,"score_gpt":0.28907406724943285,"score_spread":0.2315084759178268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393793322","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23619239,0.0013230504,0.004354982,0.00014492853,0.00012489392,0.00015378353,0.7368195,0.0042463006,0.016640201],"genre_scores_gemma":[0.4167603,0.0020811905,0.0073528574,0.00013030485,0.00006387395,0.0006861555,0.5503015,0.0017571823,0.020866608],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99930406,0.000026743459,0.00009259041,0.000118542,0.0004114335,0.000046582165],"domain_scores_gemma":[0.99850625,0.00044317354,0.00015415011,0.00021358275,0.00063483947,0.000048084104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006251515,0.0009866834,0.0008155991,0.0034559597,0.0006153117,0.0005757622,0.00095289096,0.0005666515,0.051504165],"category_scores_gemma":[0.0013992838,0.00028987162,0.0006624392,0.0051212916,0.00020371852,0.0007712194,0.00039864285,0.00056814874,0.010141698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0054566925,0.00081934396,0.08800386,0.010929138,0.00046630745,0.00259285,0.0012027534,0.015782539,0.25228313,0.0024390346,0.3618637,0.25816065],"study_design_scores_gemma":[0.000106294465,0.001161505,0.13916273,0.00035135646,0.0002720666,0.0031420079,0.00096242165,0.01038462,0.51868457,0.0016484128,0.323842,0.00028200803],"about_ca_topic_score_codex":0.0014630145,"about_ca_topic_score_gemma":0.0026989395,"teacher_disagreement_score":0.051504165,"about_ca_system_score_codex":0.00046208507,"about_ca_system_score_gemma":0.0003461191,"threshold_uncertainty_score":0.17229861},"labels":[],"label_agreement":null},{"id":"W4393971547","doi":"10.1016/j.est.2024.111524","title":"A self-attention-based CNN-Bi-LSTM model for accurate state-of-charge estimation of lithium-ion batteries","year":2024,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":124,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Mila - Quebec Artificial Intelligence Institute; Polytechnique Montréal; Université du Québec à Montréal","funders":"","keywords":"Lithium (medication); State of charge; Ion; State (computer science); Charge (physics); Computer science; Estimation; Artificial intelligence; Pattern recognition (psychology); Physics; Algorithm; Engineering; Battery (electricity); Psychology; Quantum mechanics; Power (physics)","score_opus":0.018297186101911785,"score_gpt":0.2787327988063442,"score_spread":0.26043561270443244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393971547","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1719748,0.0027567667,0.81027126,0.0009122342,0.0003928836,0.000062022926,0.0009872855,0.0043937056,0.008249047],"genre_scores_gemma":[0.95782804,0.00051164284,0.035272814,0.00024421277,0.00004440702,0.00006755375,0.00069561484,0.000070413815,0.005265286],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999193,0.0000073929336,0.00000542511,0.000031184478,0.000018034203,0.000018687104],"domain_scores_gemma":[0.9998909,0.00003199197,0.000013635868,0.0000092297105,0.00004802646,0.000006194561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022957016,0.0005879343,0.00037701847,0.00025174685,0.00016829613,0.00042749694,0.0011378607,0.00058789115,0.001487414],"category_scores_gemma":[0.0006852412,0.00024489878,0.00040750048,0.00031977045,0.00020335172,0.0007856326,0.00046116102,0.0007817783,0.00044702346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025264613,0.00012418797,0.0027093322,0.00021026678,0.000114617425,0.00018133598,0.00008386326,0.7728854,0.038899377,0.004141664,0.0049069608,0.17549035],"study_design_scores_gemma":[0.000001928726,0.000012033498,0.00017690027,0.000004035344,0.000007689841,0.000011286521,0.0000023224845,0.996887,0.0020871118,0.0005732124,0.00023309165,0.0000033164024],"about_ca_topic_score_codex":0.009734256,"about_ca_topic_score_gemma":0.015442614,"teacher_disagreement_score":0.009734256,"about_ca_system_score_codex":0.00068139704,"about_ca_system_score_gemma":0.000659017,"threshold_uncertainty_score":0.019355178},"labels":[],"label_agreement":null},{"id":"W4394004551","doi":"10.1016/j.applthermaleng.2024.123080","title":"Parametric investigation of battery thermal management system with phase change material, metal foam, and fins; utilizing CFD and ANN models","year":2024,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":145,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Universiti Malaysia Pahang","keywords":"Battery (electricity); Materials science; Phase-change material; Parametric statistics; Computational fluid dynamics; Mechanical engineering; Thermal; Automotive engineering; Engineering; Thermodynamics; Aerospace engineering; Power (physics)","score_opus":0.02626625611410114,"score_gpt":0.22653739971122172,"score_spread":0.2002711435971206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394004551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9276709,0.00040902928,0.05492558,0.00024108711,0.00006354639,0.00006461762,0.00020647132,0.00022810721,0.016190626],"genre_scores_gemma":[0.9978522,0.000049193975,0.0012479362,0.000005877294,0.0000034117504,0.000019062147,0.000020732492,0.000005696539,0.00079595996],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998405,0.00003792057,0.000007958382,0.000029469493,0.000047132547,0.000037010148],"domain_scores_gemma":[0.99952877,0.00028349145,0.00005121614,0.00004015763,0.00007874488,0.0000176208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030325228,0.000466333,0.0006459819,0.0004048138,0.0005651669,0.0006228093,0.0006200109,0.00087367196,0.0011378033],"category_scores_gemma":[0.0009980419,0.00033445295,0.00063163735,0.00030274905,0.0005843544,0.0007954335,0.00043667518,0.00042380916,0.00008709508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064605956,0.00003631462,0.0009817698,0.00006234057,0.000013771389,0.00012609655,0.00003698844,0.9915951,0.0030090741,0.00045793375,0.00016122012,0.003454762],"study_design_scores_gemma":[0.0000030289855,0.000034129916,0.0003532396,0.0000033238357,0.0000061143437,0.000017734303,0.000018208628,0.99832326,0.0010406079,0.000098091085,0.00009817495,0.000004056641],"about_ca_topic_score_codex":0.004861732,"about_ca_topic_score_gemma":0.0037089142,"teacher_disagreement_score":0.004861732,"about_ca_system_score_codex":0.00038862255,"about_ca_system_score_gemma":0.0004636461,"threshold_uncertainty_score":0.00966686},"labels":[],"label_agreement":null},{"id":"W4394062496","doi":"10.1166/jon.2024.2139","title":"Use of Nanofluid in Multiple Channels Toward Cooling Lithium-Ion Battery","year":2024,"lang":"en","type":"article","venue":"Journal of Nanofluids","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Nanofluid; Materials science; Battery (electricity); Lithium-ion battery; Lithium (medication); Ion; Nuclear engineering; Thermodynamics; Nanotechnology; Chemistry; Engineering; Nanoparticle; Medicine; Physics","score_opus":0.054922205282370705,"score_gpt":0.28320576037493084,"score_spread":0.22828355509256013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394062496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95116276,0.0037784982,0.039839424,0.00017692945,0.00018527094,0.00006661877,0.0001380377,0.00043642,0.0042159474],"genre_scores_gemma":[0.9725585,0.00076738984,0.02468231,0.000036640715,0.000016503851,0.000055793105,0.00005335292,0.000037578695,0.001792028],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989724,0.0000086510645,0.0000059714857,0.000035623198,0.000027026264,0.000025462223],"domain_scores_gemma":[0.9999232,0.000022210754,0.000017084754,0.000007761573,0.000021021542,0.000008716739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015915012,0.00027158955,0.00025750458,0.00021293486,0.00024372732,0.00032182506,0.0003459766,0.00031087123,0.00069160253],"category_scores_gemma":[0.00021607072,0.00016032002,0.00023411683,0.00012293138,0.00023489112,0.0005442268,0.00032524136,0.00027238514,0.00020185653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077454904,0.000030476258,0.00021156168,0.00016405476,0.0000043439163,0.00007295537,0.000033588847,0.0012699841,0.9910253,0.0006016805,0.00012791241,0.0063805967],"study_design_scores_gemma":[0.0000107630085,0.00014766987,0.00030752513,0.000012523038,0.000010690286,0.000064267304,0.000014252389,0.0059024845,0.99096453,0.00006372048,0.002492653,0.000008986812],"about_ca_topic_score_codex":0.00034938715,"about_ca_topic_score_gemma":0.00066973845,"teacher_disagreement_score":0.00069160253,"about_ca_system_score_codex":0.0003331425,"about_ca_system_score_gemma":0.00023896398,"threshold_uncertainty_score":0.0024171472},"labels":[],"label_agreement":null},{"id":"W4394617439","doi":"10.4271/2024-01-2200","title":"Tackling Limited Labeled Field Data Challenges for State of Health Estimation of Lithium-Ion Batteries by Advanced Semi-Supervised Regression","year":2024,"lang":"en","type":"article","venue":"SAE International Journal of Advances and Current Practices in Mobility","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Lithium (medication); Regression; Field (mathematics); Estimation; State (computer science); Computer science; Regression analysis; State of health; Ion; Statistics; Machine learning; Engineering; Mathematics; Chemistry; Systems engineering; Battery (electricity); Algorithm; Medicine; Physics","score_opus":0.06688215665391731,"score_gpt":0.4222728971755569,"score_spread":0.35539074052163955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394617439","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058214273,0.00044565363,0.93777966,0.00019350153,0.00005952487,0.00007279527,0.00025354116,0.0014556126,0.0015254732],"genre_scores_gemma":[0.7952353,0.0004507166,0.19905478,0.00022338341,0.00012656563,0.00025225568,0.0015431663,0.0001951453,0.002918806],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999337,0.00020806032,0.00005046337,0.00020584921,0.00014310936,0.00005543517],"domain_scores_gemma":[0.9974458,0.0012185208,0.00030088925,0.00029469468,0.0006878405,0.00005216867],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014559292,0.0010148088,0.0008941376,0.00063915824,0.00037640674,0.0008255363,0.001234769,0.0007435661,0.0008517474],"category_scores_gemma":[0.00443326,0.00039875458,0.0006617435,0.00055314886,0.00053309876,0.0009877274,0.00077200984,0.0013224347,0.00056170597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034209123,0.00039361246,0.008779198,0.0005632133,0.0001727824,0.00026225994,0.0003683389,0.5457334,0.02485244,0.0043339115,0.005969697,0.40822917],"study_design_scores_gemma":[0.0000062538525,0.000022757986,0.000997313,0.000010357179,0.0000084102785,0.00002320437,0.00002535423,0.9933961,0.00326372,0.0016588864,0.00057703204,0.000010722967],"about_ca_topic_score_codex":0.005261711,"about_ca_topic_score_gemma":0.0058945245,"teacher_disagreement_score":0.005261711,"about_ca_system_score_codex":0.00039818135,"about_ca_system_score_gemma":0.0010848385,"threshold_uncertainty_score":0.010462165},"labels":[],"label_agreement":null},{"id":"W4394685122","doi":"10.4271/2024-01-2426","title":"Sequence Training and Data Shuffling to Enhance the Accuracy of Recurrent Neural Network Based Battery Voltage Models","year":2024,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Battery (electricity); Voltage; Artificial neural network; Shuffling; Sequence (biology); Recurrent neural network; State of charge; Power (physics); Artificial intelligence; Electrical engineering; Engineering","score_opus":0.06375871568971372,"score_gpt":0.3376063173138554,"score_spread":0.2738476016241417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394685122","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24186224,0.0009891243,0.74793166,0.00043349026,0.00026242837,0.0001372632,0.0003329843,0.004067492,0.003983222],"genre_scores_gemma":[0.90505916,0.00021468487,0.091796555,0.00015179596,0.00003364914,0.00016594972,0.00071264344,0.0001630572,0.0017025605],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969316,0.000074833275,0.000043641125,0.00009297667,0.00005627844,0.000039168255],"domain_scores_gemma":[0.99884844,0.0006020799,0.000082253806,0.00017611065,0.00025752542,0.000033536766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010325162,0.00087269803,0.000647191,0.00042341024,0.00029858947,0.00049648294,0.0011038008,0.00066128327,0.0023914818],"category_scores_gemma":[0.005042674,0.00036869087,0.00062384625,0.00030749495,0.00028925325,0.0013886442,0.0006452798,0.0012389543,0.00068938284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002768681,0.00022092716,0.0021723178,0.00016097998,0.00006600628,0.00017835044,0.0001896321,0.74874866,0.016068498,0.0026253709,0.0019099253,0.2273824],"study_design_scores_gemma":[0.0000050613735,0.00003314846,0.00014090816,0.000005120381,0.0000051800816,0.000011734191,0.0000062766626,0.99577075,0.0033138946,0.0004899805,0.00021352804,0.0000043698815],"about_ca_topic_score_codex":0.0055608917,"about_ca_topic_score_gemma":0.0067568067,"teacher_disagreement_score":0.0055608917,"about_ca_system_score_codex":0.0004399119,"about_ca_system_score_gemma":0.00069983426,"threshold_uncertainty_score":0.011057079},"labels":[],"label_agreement":null},{"id":"W4394686960","doi":"10.4271/2024-01-2780","title":"Torque Converter Modeling for Torque Control of Hybrid Electric Powertrains","year":2024,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Chrysler (Canada)","funders":"","keywords":"Powertrain; Torque converter; Direct torque control; Torque; Automotive engineering; Stall torque; Computer science; Control theory (sociology); Control (management); Engineering; Electrical engineering; Physics; Induction motor; Voltage","score_opus":0.012618702030664088,"score_gpt":0.2610058958600507,"score_spread":0.2483871938293866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394686960","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0053786524,0.00036998204,0.98515356,0.000088649125,0.000091526155,0.00004194927,0.00009973404,0.00058147364,0.008194441],"genre_scores_gemma":[0.9075668,0.00094978325,0.071546815,0.00009290234,0.000119224926,0.00021953491,0.0004002512,0.00021562034,0.01888904],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998323,0.000030840773,0.000010546196,0.00003319098,0.00007804364,0.000015158016],"domain_scores_gemma":[0.999856,0.000050858747,0.000022268794,0.000018044193,0.000046333567,0.000006470652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027933953,0.0006765811,0.0005109746,0.00037163796,0.00028181018,0.00097499316,0.0009361418,0.00054290175,0.0032902106],"category_scores_gemma":[0.0005819948,0.00027521848,0.00059669494,0.00038926935,0.0003422034,0.00068414037,0.00043199584,0.00085212325,0.0011784952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028953273,0.00003057591,0.00031120106,0.000111640846,0.000023608987,0.00006593352,0.000048210586,0.95335895,0.004501783,0.012337791,0.0011539697,0.028027428],"study_design_scores_gemma":[0.0000022173192,0.000009460034,0.00007912492,0.000005410714,0.0000028368602,0.000008787214,0.0000049233927,0.9962089,0.00049803033,0.0012105419,0.0019665158,0.00000321983],"about_ca_topic_score_codex":0.009977219,"about_ca_topic_score_gemma":0.008140617,"teacher_disagreement_score":0.009977219,"about_ca_system_score_codex":0.0006139495,"about_ca_system_score_gemma":0.0005882059,"threshold_uncertainty_score":0.019838274},"labels":[],"label_agreement":null},{"id":"W4394699197","doi":"10.1109/tte.2024.3386910","title":"Performance Analysis of Empirical Open-Circuit Voltage Modeling in Lithium-Ion Batteries, Part-2: Data Collection Procedure","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Lithium (medication); Voltage; Open-circuit voltage; Computer science; Ion; Data collection; Materials science; Electrical engineering; Chemistry; Engineering; Psychology; Statistics; Mathematics","score_opus":0.0776119453479402,"score_gpt":0.3235462172812095,"score_spread":0.24593427193326933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394699197","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4874837,0.0004790804,0.506972,0.00016851797,0.000022826358,0.0001942538,0.00056676584,0.0017271187,0.0023857343],"genre_scores_gemma":[0.9751992,0.0001374349,0.02356366,0.000019991101,0.000006505231,0.00013980409,0.00046865162,0.000052317006,0.0004123405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9988814,0.00039019785,0.00008178515,0.0002056159,0.0003817741,0.000059250593],"domain_scores_gemma":[0.99601763,0.0024420936,0.00029376883,0.0006572342,0.0005515999,0.000037580397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014254792,0.0007137569,0.000508002,0.0004946388,0.00033453747,0.0008157744,0.0009009293,0.0006624881,0.0010666609],"category_scores_gemma":[0.0093674455,0.00024585798,0.00033346727,0.00051806937,0.00034984574,0.0010479919,0.00051711744,0.00063961954,0.00029251177],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007916567,0.00041516335,0.026691975,0.00040606956,0.0001045582,0.00015636433,0.00033651813,0.75548714,0.03875225,0.0049462724,0.0008892496,0.17102286],"study_design_scores_gemma":[0.000007499399,0.00017572635,0.0043536266,0.000012345719,0.000009988147,0.00004990779,0.00004658719,0.9730909,0.021185355,0.0006221968,0.00043012438,0.00001568703],"about_ca_topic_score_codex":0.0037227024,"about_ca_topic_score_gemma":0.0019910282,"teacher_disagreement_score":0.0037227024,"about_ca_system_score_codex":0.0008273153,"about_ca_system_score_gemma":0.000679599,"threshold_uncertainty_score":0.007538736},"labels":[],"label_agreement":null},{"id":"W4394711378","doi":"10.1002/cjce.25263","title":"Two‐layer dynamic economic nonlinear model predictive control for a lithium‐ion battery charge process with random disturbances","year":2024,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; National Science and Technology Council","keywords":"Control theory (sociology); Battery (electricity); Model predictive control; Nonlinear system; Computer science; State of charge; Trajectory; Lithium-ion battery; Process (computing); Power (physics); Mathematical optimization; Mathematics; Control (management); Artificial intelligence","score_opus":0.006818845032251057,"score_gpt":0.22877475749147821,"score_spread":0.22195591245922716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394711378","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13511625,0.00048743276,0.8562185,0.00040748814,0.00010887385,0.000069972266,0.000050461993,0.00041280666,0.0071282126],"genre_scores_gemma":[0.9934354,0.00007141974,0.0052648913,0.000026572128,0.000010512002,0.00003422778,0.000019482104,0.0000063168595,0.0011312531],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996008,0.00009048243,0.000021295271,0.00008425786,0.00014039005,0.000062763145],"domain_scores_gemma":[0.9993748,0.00027176726,0.000097342774,0.00003605659,0.00019827626,0.000021827023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081714406,0.00081435655,0.0008025476,0.00033680318,0.0006345354,0.0011468771,0.00095729943,0.0007997025,0.001029645],"category_scores_gemma":[0.0014297182,0.0003870545,0.0005581287,0.00035728572,0.00076249987,0.0007106551,0.0007402467,0.0008487877,0.00010543017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040783074,0.00001431361,0.00025128684,0.000021463293,0.000014503234,0.000040060604,0.000016073009,0.9930521,0.00059533754,0.0011162638,0.00011277075,0.0047249794],"study_design_scores_gemma":[0.000002180746,0.000005332065,0.000043062086,5.119219e-7,0.0000016161925,0.000001120961,9.3298655e-7,0.99975437,0.00008236948,0.000087391665,0.00001998475,0.0000011745376],"about_ca_topic_score_codex":0.035089824,"about_ca_topic_score_gemma":0.014667051,"teacher_disagreement_score":0.035089824,"about_ca_system_score_codex":0.0012632603,"about_ca_system_score_gemma":0.0013223164,"threshold_uncertainty_score":0.06977117},"labels":[],"label_agreement":null},{"id":"W4394825641","doi":"10.1109/energycon58629.2024.10488772","title":"Placement of Charging Sites for Off-Service Battery Electric Bus in Transit Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Battery (electricity); Transit (satellite); Service (business); Public transport; Computer science; Electrical engineering; Computer network; Automotive engineering; Telecommunications; Transport engineering; Engineering; Power (physics); Business; Physics","score_opus":0.017311798955598336,"score_gpt":0.26350108596550054,"score_spread":0.2461892870099022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394825641","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36525986,0.00033896774,0.62178606,0.000332955,0.000099457146,0.000295733,0.0003247007,0.0009217496,0.010640502],"genre_scores_gemma":[0.8732696,0.00014650209,0.12350953,0.000035923495,0.000009919528,0.00006026171,0.00021731602,0.00005644008,0.0026945795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971336,0.000091916,0.00001147852,0.000045850284,0.00008027836,0.000057063342],"domain_scores_gemma":[0.9997217,0.0000579347,0.000043028744,0.000030731848,0.000106556894,0.000040055405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002659644,0.0005481189,0.00044667564,0.00076257763,0.0008350926,0.00071232684,0.0008099728,0.00065016834,0.001355565],"category_scores_gemma":[0.0012358315,0.0002948801,0.00021709045,0.0007853422,0.00043427144,0.0005260374,0.0007052291,0.000275037,0.0005089452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022365882,0.00008363092,0.0045398176,0.0001076811,0.000019355051,0.0001866109,0.00022935435,0.86341727,0.013526399,0.009227946,0.0030477399,0.10539045],"study_design_scores_gemma":[0.000017086537,0.00012618824,0.0012784326,0.000014578778,0.000011817362,0.00010010369,0.00032862325,0.98034304,0.010725101,0.0045336797,0.0025042898,0.000017055669],"about_ca_topic_score_codex":0.0114612635,"about_ca_topic_score_gemma":0.019031407,"teacher_disagreement_score":0.0114612635,"about_ca_system_score_codex":0.0011310439,"about_ca_system_score_gemma":0.0015440373,"threshold_uncertainty_score":0.02278912},"labels":[],"label_agreement":null},{"id":"W4394880659","doi":"10.1002/htj.23063","title":"Experimental and parametric analysis of a novel hybrid thermal management strategy for cylindrical lithium‐ion cells","year":2024,"lang":"en","type":"article","venue":"Heat Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Airflow; Materials science; Duct (anatomy); Reynolds number; Pressure drop; Coolant; Thermal; Phase-change material; Parametric statistics; Computational fluid dynamics; Mechanics; Mechanical engineering; Thermodynamics; Engineering; Mathematics; Physics","score_opus":0.032503221791049794,"score_gpt":0.2969206858300092,"score_spread":0.2644174640389594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394880659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882895,0.00015375233,0.008919203,0.000059653412,0.000025525069,0.000041513464,0.00016790553,0.00013214874,0.0022109405],"genre_scores_gemma":[0.9978975,0.00003562357,0.0016348792,0.0000035456655,0.0000016634945,0.00002584221,0.000026938282,0.0000055178143,0.0003684013],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987054,0.000011901116,0.0000063720368,0.000026155685,0.000060532006,0.000024551293],"domain_scores_gemma":[0.99985504,0.00003454282,0.000027197526,0.000032717184,0.000041260457,0.000009279669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023571494,0.000310198,0.00033933786,0.00018643985,0.0003357103,0.00041815243,0.00058933883,0.0003695063,0.0016180736],"category_scores_gemma":[0.00034407421,0.00013867753,0.00021375544,0.00028876553,0.00038852566,0.00046456364,0.00027709865,0.00025558597,0.000182971],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038458814,0.0001623928,0.0013221239,0.00025059542,0.000015179599,0.00020038878,0.00019552065,0.05204135,0.930937,0.0011622065,0.00043050066,0.012898157],"study_design_scores_gemma":[0.00006058756,0.0017519349,0.00515507,0.000012800291,0.000027820179,0.00010811813,0.00021947472,0.23511182,0.75429064,0.00032337426,0.0028823533,0.00005596608],"about_ca_topic_score_codex":0.0008565444,"about_ca_topic_score_gemma":0.0007954009,"teacher_disagreement_score":0.0016180736,"about_ca_system_score_codex":0.0002875312,"about_ca_system_score_gemma":0.00023949589,"threshold_uncertainty_score":0.0054130554},"labels":[],"label_agreement":null},{"id":"W4394922718","doi":"10.20944/preprints202404.0890.v1","title":"An Enhanced Ageing Model for Solid-State Batteries","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ageing; Solid-state; State (computer science); Materials science; Computer science; Process engineering; Engineering physics; Engineering; Algorithm; Medicine","score_opus":0.1020354636127914,"score_gpt":0.38366431277956475,"score_spread":0.28162884916677333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394922718","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10279271,0.0048645567,0.8457946,0.0009392537,0.000781918,0.0002902713,0.001038679,0.0008157277,0.04268222],"genre_scores_gemma":[0.93984205,0.002714777,0.022702828,0.00028934568,0.0001930379,0.00029881246,0.00072662864,0.00018738087,0.033045117],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997365,0.00005057351,0.000019768415,0.000039148443,0.00012179612,0.000032174576],"domain_scores_gemma":[0.9995295,0.0001528123,0.00005433683,0.00004765121,0.00019266136,0.000023126497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005813764,0.0006728005,0.0007157142,0.0005620538,0.00029216116,0.00063618,0.0013863299,0.0012214425,0.0022051171],"category_scores_gemma":[0.0019236453,0.00022115014,0.00090480485,0.0003919314,0.0005579537,0.0013514169,0.00070143,0.0008758661,0.0009027184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006165437,0.000031681942,0.0005719697,0.0001355886,0.000014542892,0.00020978415,0.00012848698,0.9594925,0.01028882,0.019032853,0.0011273901,0.008904678],"study_design_scores_gemma":[0.000004590239,0.000017781053,0.00009366351,0.000007150272,0.0000053338986,0.000036809408,0.0000063705643,0.9953739,0.0007882815,0.0022407435,0.0014201826,0.0000051362176],"about_ca_topic_score_codex":0.0034048755,"about_ca_topic_score_gemma":0.00167104,"teacher_disagreement_score":0.0034048755,"about_ca_system_score_codex":0.0006915583,"about_ca_system_score_gemma":0.0005356271,"threshold_uncertainty_score":0.00737679},"labels":[],"label_agreement":null},{"id":"W4395110468","doi":"10.1016/j.est.2024.111755","title":"A fast balance optimization approach for charging enhancement of lithium-ion battery packs through deep reinforcement learning","year":2024,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Reinforcement learning; Battery (electricity); Lithium-ion battery; Balance (ability); Reinforcement; Lithium (medication); Computer science; Engineering; Artificial intelligence; Power (physics); Physics; Structural engineering; Psychology; Thermodynamics","score_opus":0.014362185407943219,"score_gpt":0.2546311831231892,"score_spread":0.240268997715246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395110468","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08512007,0.0009866895,0.9020768,0.00030865584,0.00013736384,0.00007224904,0.00007431455,0.0009270074,0.010296853],"genre_scores_gemma":[0.96622944,0.00011721585,0.029404184,0.00012079836,0.000030026247,0.00005193669,0.00006306079,0.00004800245,0.003935251],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992704,0.000010761089,0.0000038063188,0.000016709466,0.000023667004,0.00001794585],"domain_scores_gemma":[0.99987316,0.000049727718,0.000014447818,0.0000071184913,0.00004402507,0.000011516904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027063212,0.0005320617,0.00064884516,0.0002584466,0.00025963582,0.00050046033,0.00082312844,0.00061521964,0.002733828],"category_scores_gemma":[0.0004597102,0.00029715704,0.000353286,0.00019793605,0.00028002964,0.0005245016,0.0005851918,0.00055742456,0.0003142956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010608477,0.00007846407,0.0005547229,0.00007120198,0.000036834765,0.000067210734,0.00003197075,0.92483985,0.0052098697,0.0021447572,0.0015288165,0.065330215],"study_design_scores_gemma":[0.0000030173203,0.000011334181,0.000030983432,0.0000014819774,0.0000028436455,0.0000036805964,0.0000017706863,0.9993167,0.00022757734,0.0003037858,0.00009583571,0.0000010500017],"about_ca_topic_score_codex":0.005148535,"about_ca_topic_score_gemma":0.0068088663,"teacher_disagreement_score":0.005148535,"about_ca_system_score_codex":0.00047717383,"about_ca_system_score_gemma":0.00053952436,"threshold_uncertainty_score":0.010237098},"labels":[],"label_agreement":null},{"id":"W4395477142","doi":"10.54097/vxvgxm28","title":"Battery Technologies in Electrochemical Energy Storage","year":2023,"lang":"en","type":"article","venue":"Highlights in Science Engineering and Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Electrochemical energy storage; Energy storage; Battery (electricity); Electrochemical energy conversion; Electrochemistry; Computer science; Electrical engineering; Process engineering; Environmental science; Supercapacitor; Engineering; Chemistry; Physics; Electrode; Power (physics)","score_opus":0.0068931607483544415,"score_gpt":0.22816594806426804,"score_spread":0.2212727873159136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395477142","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039883293,0.66929466,0.12073901,0.013498169,0.013202558,0.00019042638,0.0004790265,0.00063375116,0.17797406],"genre_scores_gemma":[0.09672023,0.68587637,0.06381629,0.008769216,0.006479088,0.0005239485,0.0008506836,0.0003349157,0.13662927],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991327,0.00013071398,0.00008207235,0.00014984744,0.0004337162,0.000071094386],"domain_scores_gemma":[0.9996784,0.00009172828,0.000023558623,0.0000370201,0.0001492982,0.000020028525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073637307,0.000696302,0.0011665635,0.001274971,0.0008173301,0.0024025799,0.001769651,0.0026544225,0.008268993],"category_scores_gemma":[0.000956802,0.00058503344,0.0005782226,0.0022477359,0.0016254568,0.0050037466,0.0020846534,0.0036943252,0.006774507],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049098508,0.000096111326,0.00024636654,0.0030445459,0.000043620166,0.00051901577,0.00035868553,0.0033869555,0.019417329,0.691558,0.051213324,0.2300669],"study_design_scores_gemma":[0.000010107524,0.000065058586,0.00008561076,0.0005865627,0.000010772299,0.00065230404,0.00009411312,0.0023396155,0.009836965,0.10985661,0.8764207,0.000041593874],"about_ca_topic_score_codex":0.0006380238,"about_ca_topic_score_gemma":0.0006255011,"teacher_disagreement_score":0.008268993,"about_ca_system_score_codex":0.0012817932,"about_ca_system_score_gemma":0.00075204164,"threshold_uncertainty_score":0.027662516},"labels":[],"label_agreement":null},{"id":"W4396214396","doi":"10.1109/access.2024.3394843","title":"Comparing Hybrid Approaches of Deep Learning for Remaining Useful Life Prognostic of Lithium-Ion Batteries","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Lithium (medication); Computer science; Ion; Artificial intelligence; Physics; Medicine; Internal medicine","score_opus":0.0991895451366036,"score_gpt":0.3137589795740182,"score_spread":0.2145694344374146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396214396","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3579985,0.01747724,0.6001246,0.0020287153,0.00050331117,0.00019402985,0.0015435317,0.00270857,0.017421467],"genre_scores_gemma":[0.96629757,0.0023546037,0.02718632,0.00022416834,0.00007956523,0.000106097956,0.00079821935,0.000055524568,0.0028978945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960035,0.00010052567,0.00004218783,0.000094026684,0.00011169705,0.000051309667],"domain_scores_gemma":[0.99925274,0.00039774404,0.000047166966,0.000049319526,0.00021826744,0.000034731544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012399182,0.0015194302,0.00077262986,0.0012078591,0.00027342772,0.0012658602,0.0013624805,0.0009623382,0.0013343521],"category_scores_gemma":[0.0026026308,0.00030217838,0.00084756775,0.0008203983,0.00032763864,0.0019236917,0.00091223116,0.00087339716,0.00038204144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042554995,0.00013463653,0.009419061,0.00043601816,0.00030768642,0.00011323162,0.00008805376,0.8061612,0.0016200588,0.0031523588,0.0024012649,0.17574085],"study_design_scores_gemma":[0.000008942347,0.00010373548,0.0007522102,0.000033177836,0.000039246534,0.000019849707,0.000033790773,0.99565095,0.0011154764,0.0016492561,0.0005799975,0.000013374347],"about_ca_topic_score_codex":0.008032994,"about_ca_topic_score_gemma":0.00652773,"teacher_disagreement_score":0.008032994,"about_ca_system_score_codex":0.0008561054,"about_ca_system_score_gemma":0.0007386728,"threshold_uncertainty_score":0.015972495},"labels":[],"label_agreement":null},{"id":"W4396514559","doi":"10.1002/bte2.20230055","title":"A finite‐state machine‐based control design for thermal and state‐of‐charge balancing of lithium iron phosphate battery using flyback converters","year":2024,"lang":"en","type":"article","venue":"Battery energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Polytechnique Montréal; McGill University","funders":"Mitacs; McGill University","keywords":"State of charge; Battery (electricity); Battery pack; Converters; Computer science; Controller (irrigation); Automotive engineering; Engineering; Control theory (sociology); Electrical engineering; Voltage; Power (physics); Control (management)","score_opus":0.01662164721437402,"score_gpt":0.2410403670718961,"score_spread":0.2244187198575221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396514559","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050838128,0.0002500005,0.9387349,0.00015597556,0.00011511132,0.00010687785,0.000036934198,0.0008210798,0.008941024],"genre_scores_gemma":[0.97470415,0.00006745823,0.02308261,0.000036364898,0.000013338176,0.00009032851,0.000023636496,0.000010463626,0.0019715896],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998031,0.00003654838,0.000014908581,0.000045801997,0.00008054585,0.000019121648],"domain_scores_gemma":[0.9998154,0.000047309157,0.000031430594,0.000015918651,0.00008220107,0.000007665531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031184932,0.0003055956,0.00028575023,0.00022132289,0.00035450983,0.00056687463,0.00070409925,0.00034224582,0.0021440855],"category_scores_gemma":[0.000403012,0.00014605394,0.0002367034,0.0001259119,0.0002818185,0.00030718732,0.00022392305,0.00033726954,0.00024027581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044315658,0.00026292904,0.0011329411,0.0004528388,0.00009331028,0.00028085764,0.00026838307,0.62195885,0.10786413,0.0134038795,0.0029261503,0.25091252],"study_design_scores_gemma":[0.000031065927,0.00018850766,0.00025782586,0.000014152145,0.00001482162,0.000031921834,0.000011237349,0.9865617,0.010672855,0.0004946502,0.0017114857,0.000009878508],"about_ca_topic_score_codex":0.0028527067,"about_ca_topic_score_gemma":0.0027872848,"teacher_disagreement_score":0.0028527067,"about_ca_system_score_codex":0.00035572692,"about_ca_system_score_gemma":0.00046246094,"threshold_uncertainty_score":0.0071727037},"labels":[],"label_agreement":null},{"id":"W4396529467","doi":"10.22215/etd/2024-15886","title":"Fault Tolerant, Adversarial and Highly Available Lithium Batteries Health Monitoring Framework","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Adversarial system; Lithium (medication); Computer science; Fault (geology); Fault tolerance; Reliability engineering; Computer security; Engineering; Distributed computing; Medicine; Artificial intelligence; Seismology; Geology; Psychiatry","score_opus":0.016899942775361696,"score_gpt":0.29674029918833406,"score_spread":0.27984035641297234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396529467","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030320657,0.0006247426,0.956076,0.0011181652,0.00010903474,0.0003118024,0.00027591406,0.0030142388,0.008149388],"genre_scores_gemma":[0.8426989,0.00052115513,0.14645557,0.00043715863,0.00011038216,0.00034111968,0.00033221595,0.000096906,0.009006621],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899346,0.00015858574,0.000058956964,0.00019332793,0.00043020473,0.00016548455],"domain_scores_gemma":[0.99914324,0.0002878398,0.00015965026,0.00013973113,0.00019114708,0.00007844308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010112282,0.00054193643,0.0005485519,0.0003007944,0.00040151816,0.001186032,0.0017301992,0.0010234071,0.0021484136],"category_scores_gemma":[0.002395705,0.0001594255,0.00056110614,0.00017722964,0.0007944404,0.0012139191,0.001918654,0.0011466035,0.0005002963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005587377,0.00023469386,0.0044373823,0.00040868495,0.00012164696,0.0011366497,0.00046946068,0.7224577,0.02112816,0.10121034,0.010611305,0.13722521],"study_design_scores_gemma":[0.000021911206,0.00012506025,0.00050010864,0.000029835266,0.000026397869,0.00021105279,0.000049159746,0.97261626,0.005178401,0.014921278,0.00630132,0.000019243855],"about_ca_topic_score_codex":0.0023373498,"about_ca_topic_score_gemma":0.0017695315,"teacher_disagreement_score":0.0023373498,"about_ca_system_score_codex":0.0009369459,"about_ca_system_score_gemma":0.0013167892,"threshold_uncertainty_score":0.0071871877},"labels":[],"label_agreement":null},{"id":"W4396560872","doi":"10.3390/en17092163","title":"Particle Swarm-Optimized Fuzzy Logic Energy Management of Hybrid Energy Storage in Electric Vehicles","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Fuzzy logic; Particle swarm optimization; Energy storage; Energy management; Computer science; Particle (ecology); Energy (signal processing); Automotive engineering; Engineering; Artificial intelligence; Algorithm; Mathematics; Physics; Power (physics); Biology","score_opus":0.01203580983439339,"score_gpt":0.24256460145240377,"score_spread":0.23052879161801038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396560872","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17330733,0.0008981737,0.8078686,0.00030902043,0.00016052843,0.00014499575,0.00009959046,0.0003757367,0.016836036],"genre_scores_gemma":[0.97975576,0.00012425176,0.01806761,0.000039775783,0.000010702558,0.000078778445,0.000043007425,0.000009174064,0.0018709496],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986815,0.00003497984,0.000009919009,0.000023754994,0.00004191936,0.000021207303],"domain_scores_gemma":[0.9998598,0.000051492072,0.000024390287,0.0000071283957,0.00004948739,0.0000076175174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045051178,0.00058033806,0.00055770704,0.00029555388,0.00035865747,0.00080652116,0.0005540245,0.00055198174,0.0009586351],"category_scores_gemma":[0.0004432742,0.00027255085,0.0004149964,0.00022052706,0.00029735145,0.0003374099,0.00031923584,0.0004201843,0.000123074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059472142,0.00004019913,0.00045337752,0.000038872404,0.000033810058,0.00005187703,0.000026761343,0.98017293,0.0021791537,0.0012553277,0.00032553182,0.015362838],"study_design_scores_gemma":[0.0000075398057,0.00003421727,0.00012509643,0.00000283269,0.0000056999693,0.00000417134,0.000005944789,0.9990094,0.00041216108,0.00023798678,0.00015273043,0.0000021891713],"about_ca_topic_score_codex":0.008738897,"about_ca_topic_score_gemma":0.008160195,"teacher_disagreement_score":0.008738897,"about_ca_system_score_codex":0.0005408113,"about_ca_system_score_gemma":0.00056080025,"threshold_uncertainty_score":0.017376065},"labels":[],"label_agreement":null},{"id":"W4396575097","doi":"10.1109/apec48139.2024.10509414","title":"Effects of Regenerative Braking on Hybrid Battery Balancing","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Regenerative brake; Dynamic braking; Automotive engineering; State of charge; Battery (electricity); Transient (computer programming); Electric vehicle; Engine braking; Computer science; Voltage; Control theory (sociology); Engineering; Retarder; Electrical engineering; Brake; Physics; Control (management); Power (physics)","score_opus":0.007258208352856852,"score_gpt":0.24962980904271398,"score_spread":0.24237160068985714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396575097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9658052,0.0003793017,0.022208448,0.00007585709,0.000052251744,0.000037626112,0.00006909199,0.00037621614,0.0109960465],"genre_scores_gemma":[0.9989773,0.00003704904,0.0002611928,0.000006650546,0.0000020053847,0.000003636276,0.000012168116,0.000007772458,0.00069230224],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997913,0.00003120625,0.000009486929,0.000028655042,0.00006320619,0.00007615169],"domain_scores_gemma":[0.9995372,0.0002535923,0.000054027423,0.000048935926,0.00008256588,0.000023728704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025114487,0.0005524602,0.00047231678,0.00039399095,0.0003818306,0.00066434883,0.0004365838,0.000390848,0.004348765],"category_scores_gemma":[0.0008565998,0.0002154624,0.00035187695,0.00015193434,0.0004177988,0.0006882885,0.00053509074,0.00028610407,0.00050578214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032129618,0.0003350187,0.0058556627,0.00064953836,0.00019801669,0.0007564159,0.0004525378,0.6501483,0.26696014,0.002510608,0.0005017724,0.068419084],"study_design_scores_gemma":[0.00011063944,0.0019142926,0.011008079,0.000036870406,0.00014189501,0.00024107614,0.0005378436,0.9134553,0.06850101,0.001207187,0.0027823576,0.00006340559],"about_ca_topic_score_codex":0.004856251,"about_ca_topic_score_gemma":0.004735924,"teacher_disagreement_score":0.004856251,"about_ca_system_score_codex":0.00026700864,"about_ca_system_score_gemma":0.00024682848,"threshold_uncertainty_score":0.014548063},"labels":[],"label_agreement":null},{"id":"W4396575108","doi":"10.1109/apec48139.2024.10509210","title":"Rapid Parameterization of Lithium-ion Batteries using Frequency Window Identification Technique for On-board Charge Control and Battery Management","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Window (computing); Battery (electricity); Lithium (medication); Identification (biology); Ion; Charge (physics); State of charge; Lithium-ion battery; Automatic frequency control; Computer science; Materials science; Electrical engineering; Engineering; Chemistry; Physics; Power (physics)","score_opus":0.021686066258827113,"score_gpt":0.27517765664547533,"score_spread":0.2534915903866482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396575108","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38046148,0.001309176,0.6125759,0.00013067186,0.000083559265,0.00016574569,0.00022917303,0.0018462683,0.0031980749],"genre_scores_gemma":[0.91369784,0.00070568494,0.08309942,0.000044445467,0.000019566649,0.00013660484,0.00022202144,0.00008187334,0.0019925318],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998785,0.00001246934,0.000009407137,0.000024500408,0.00006432408,0.000010727491],"domain_scores_gemma":[0.99987733,0.000031783045,0.000019181809,0.000021060307,0.000045811597,0.0000048876045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023273654,0.0003775886,0.00029474092,0.00056304416,0.00014826056,0.00040647638,0.00038907476,0.0003120676,0.001134725],"category_scores_gemma":[0.00058849406,0.00011338348,0.00016145833,0.00036080222,0.00011443284,0.0009006003,0.00028133794,0.00023082693,0.00033032717],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017308786,0.00007417289,0.0026296233,0.00018206557,0.000013630743,0.00016027135,0.00020976194,0.005781341,0.7702676,0.00087753596,0.00059793296,0.21903302],"study_design_scores_gemma":[0.000018167035,0.00037436778,0.010805808,0.000021857359,0.00002893032,0.0004728379,0.00020179669,0.18119915,0.79864496,0.0012055468,0.0069763246,0.00005025493],"about_ca_topic_score_codex":0.00036639493,"about_ca_topic_score_gemma":0.0005306466,"teacher_disagreement_score":0.001134725,"about_ca_system_score_codex":0.000120093864,"about_ca_system_score_gemma":0.00013702028,"threshold_uncertainty_score":0.003796041},"labels":[],"label_agreement":null},{"id":"W4396596312","doi":"10.1109/apec48139.2024.10509239","title":"Common-Mode Current Prediction in a Non-isolated Onboard EV Fast Charger","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Current (fluid); Mode (computer interface); Computer science; Electrical engineering; Engineering","score_opus":0.013453006984799327,"score_gpt":0.297135320823344,"score_spread":0.28368231383854464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396596312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60492975,0.0011422788,0.3670109,0.0005675184,0.00012813813,0.00020093391,0.00042572303,0.0016490829,0.023945726],"genre_scores_gemma":[0.9941169,0.00011128441,0.00374977,0.000026823584,0.000005471799,0.000017169417,0.00003600016,0.00002434288,0.0019122241],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998282,0.000024992149,0.0000054196516,0.000045909943,0.00006853837,0.000026989474],"domain_scores_gemma":[0.9997229,0.00010695541,0.000038649116,0.000035139517,0.00008184594,0.000014470162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034964853,0.00045221992,0.0005501413,0.00039110295,0.00030477977,0.0007015758,0.0010842021,0.00097093947,0.0012218772],"category_scores_gemma":[0.0008205723,0.00023026684,0.0006217832,0.0002846243,0.0005770183,0.00086116645,0.0003214865,0.0006784623,0.0005074648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022471833,0.00018828818,0.0020684963,0.00020436266,0.000037363654,0.00040055485,0.00029584253,0.9270465,0.041134898,0.005664265,0.0015432041,0.02119154],"study_design_scores_gemma":[0.000005561996,0.000037863003,0.00022565424,0.000004986821,0.0000038355984,0.000019488734,0.000016449425,0.99674535,0.0023216219,0.00039540773,0.00022044398,0.0000033109607],"about_ca_topic_score_codex":0.00720586,"about_ca_topic_score_gemma":0.0060987123,"teacher_disagreement_score":0.00720586,"about_ca_system_score_codex":0.0009953921,"about_ca_system_score_gemma":0.000600646,"threshold_uncertainty_score":0.014327884},"labels":[],"label_agreement":null},{"id":"W4396658890","doi":"10.1139/tcsme-2023-0129","title":"Current control for a supercapacitor-based battery equalization system","year":2024,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Science and Technology Program of Hubei Province; National Natural Science Foundation of China","keywords":"Equalization (audio); Supercapacitor; Battery (electricity); Computer science; Voltage; Electronic engineering; Controller (irrigation); Electrical engineering; Engineering; Control theory (sociology); Capacitance; Control (management); Power (physics); Channel (broadcasting); Electrode","score_opus":0.017310700679013757,"score_gpt":0.24378686735353702,"score_spread":0.22647616667452328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396658890","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17142382,0.0008533319,0.79985696,0.0003949756,0.00036721583,0.00022512565,0.0001365357,0.0040485375,0.022693522],"genre_scores_gemma":[0.9804967,0.00014043436,0.014323192,0.00007087992,0.000039009417,0.00005275573,0.000040935123,0.000024102643,0.004812022],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998419,0.000010120873,0.000013862687,0.000045915473,0.00007258142,0.000015585048],"domain_scores_gemma":[0.9998702,0.000022892435,0.000020568767,0.000015030947,0.00006168638,0.000009466231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012373521,0.00030688348,0.0002748933,0.00023412377,0.00036397524,0.00045913213,0.0008776313,0.00023717283,0.002564269],"category_scores_gemma":[0.0002655504,0.00012459264,0.00013941563,0.00021904719,0.00025894732,0.0005318953,0.00027388093,0.00035907706,0.00041555814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007499628,0.00036392288,0.0016057153,0.00048616825,0.00007122896,0.0004911701,0.0003559114,0.11810145,0.4952631,0.011331927,0.004828509,0.366351],"study_design_scores_gemma":[0.000053970896,0.00024143182,0.0009251692,0.000018071625,0.00004202115,0.00016113333,0.000041310104,0.89718866,0.09096078,0.0016207491,0.008719391,0.000027303999],"about_ca_topic_score_codex":0.001603609,"about_ca_topic_score_gemma":0.0017211279,"teacher_disagreement_score":0.002564269,"about_ca_system_score_codex":0.00037312254,"about_ca_system_score_gemma":0.0003488729,"threshold_uncertainty_score":0.00857836},"labels":[],"label_agreement":null},{"id":"W4396664877","doi":"10.54254/2755-2721/59/20240779","title":"Necessity and limitations of transportation electrification","year":2024,"lang":"en","type":"article","venue":"Applied and Computational Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Electrification; Prioritization; Energy security; Risk analysis (engineering); Rural electrification; Environmental economics; Business; Computer science; Economics; Electricity; Engineering; Management science; Renewable energy","score_opus":0.014887214372833274,"score_gpt":0.2214629525837199,"score_spread":0.20657573821088662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396664877","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25573882,0.07355011,0.04468992,0.17777142,0.0024578779,0.000092156755,0.0007607444,0.00018056242,0.44475836],"genre_scores_gemma":[0.9582741,0.024496138,0.0050547067,0.0023253215,0.0005385222,0.0000619406,0.00017974424,0.000042636602,0.0090268925],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980848,0.00057146885,0.00013980745,0.00025480372,0.0006936278,0.00025550573],"domain_scores_gemma":[0.9936458,0.0035441623,0.0006132614,0.00033044472,0.0015681215,0.0002983034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002747289,0.00025633836,0.00027917634,0.0007643586,0.00080153695,0.0026477578,0.001210551,0.001460925,0.005496078],"category_scores_gemma":[0.0092974035,0.00015953954,0.00034239088,0.0009427426,0.0029974352,0.0054322532,0.0023542643,0.0019002995,0.0005727103],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010522756,0.000042288757,0.011142508,0.0016210745,0.00005728854,0.0006755453,0.001747667,0.0076284595,0.0019836964,0.79763794,0.016209776,0.16114855],"study_design_scores_gemma":[0.000016292983,0.00011826722,0.01660225,0.0029940975,0.00007196744,0.0019997642,0.017461915,0.0093748635,0.002742818,0.4388138,0.5096837,0.000120266755],"about_ca_topic_score_codex":0.0031858026,"about_ca_topic_score_gemma":0.0040230644,"teacher_disagreement_score":0.005496078,"about_ca_system_score_codex":0.0017498344,"about_ca_system_score_gemma":0.0023012431,"threshold_uncertainty_score":0.018386245},"labels":[],"label_agreement":null},{"id":"W4396665556","doi":"10.5220/0012624800003714","title":"Sustainable Energy Management System for AIoT Solutions Using Multivariate and Multi-Step Battery State of Charge Forecasting","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"State of charge; Battery (electricity); Multivariate statistics; Energy management; State (computer science); Charge (physics); Sustainable energy; Energy (signal processing); Two step; Energy management system; Computer science; Engineering; Algorithm; Electrical engineering; Machine learning; Renewable energy; Chemistry; Statistics; Mathematics; Power (physics); Thermodynamics","score_opus":0.05108151513458608,"score_gpt":0.28424846830144407,"score_spread":0.23316695316685798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396665556","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17858997,0.00052626384,0.779728,0.0011450796,0.0002581327,0.00065153703,0.001660043,0.011653093,0.025787817],"genre_scores_gemma":[0.9539341,0.00016403075,0.04223131,0.00008897833,0.000025176074,0.00025542013,0.000764013,0.00007805676,0.0024590082],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975413,0.00003506255,0.00002275058,0.000072396346,0.00008454301,0.00003117998],"domain_scores_gemma":[0.99971575,0.00006415103,0.000040098737,0.000035008212,0.00011891621,0.00002614842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006486511,0.0007364152,0.0005604623,0.0009257063,0.0006802576,0.0013769803,0.0008274182,0.0005973989,0.0029166539],"category_scores_gemma":[0.0009875619,0.00022672905,0.00054326846,0.0006971067,0.00019396776,0.0013832175,0.00090661884,0.00058411603,0.00084432936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039374433,0.0003344292,0.008362496,0.00021687635,0.00010721997,0.0004224591,0.00017814463,0.71224475,0.014714236,0.0066939383,0.010298797,0.24603288],"study_design_scores_gemma":[0.000014292082,0.000042766333,0.0008222941,0.00001092152,0.000015838747,0.00001677103,0.000027086684,0.9927838,0.0021015925,0.0021057504,0.0020460254,0.000012908434],"about_ca_topic_score_codex":0.005413733,"about_ca_topic_score_gemma":0.005502157,"teacher_disagreement_score":0.005413733,"about_ca_system_score_codex":0.000848939,"about_ca_system_score_gemma":0.0010200371,"threshold_uncertainty_score":0.01076448},"labels":[],"label_agreement":null},{"id":"W4396674251","doi":"10.3390/electronics13091783","title":"Parallel Algorithm on Multicore Processor and Graphics Processing Unit for the Optimization of Electric Vehicle Recharge Scheduling","year":2024,"lang":"en","type":"article","venue":"Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Computer science; Speedup; Multi-core processor; Scheduling (production processes); Graphics processing unit; Schedule; Parallel computing; Particle swarm optimization; Algorithm; Engineering","score_opus":0.021102876450497292,"score_gpt":0.28733781978181583,"score_spread":0.26623494333131853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396674251","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05098992,0.00095571275,0.9340623,0.00041283184,0.000229658,0.00016477532,0.00018900522,0.0026911648,0.010304692],"genre_scores_gemma":[0.34528118,0.00037563845,0.6480898,0.00016677535,0.000050515846,0.0004490507,0.0004968922,0.00037057267,0.0047195214],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996854,0.00007767623,0.000017575358,0.00004884917,0.000109296765,0.00006124547],"domain_scores_gemma":[0.99967813,0.000101484744,0.000036872247,0.00003543353,0.00012106548,0.000027061242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041673557,0.0008768802,0.000680916,0.0005738143,0.00046288568,0.0006282317,0.0009850065,0.0005286585,0.0027267518],"category_scores_gemma":[0.001035583,0.00033551513,0.00081506616,0.00096057064,0.00032623543,0.00044528994,0.00056922383,0.0007616168,0.00046910526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013205931,0.00007255463,0.0009040375,0.000103565406,0.00008138576,0.00008808833,0.000047011727,0.9232302,0.0049988227,0.00509438,0.003911975,0.061335932],"study_design_scores_gemma":[0.000023093744,0.000023614177,0.00014665138,0.0000030360309,0.0000071918694,0.000008041739,0.00000695932,0.9967423,0.00064530794,0.0011957422,0.0011948654,0.0000031547336],"about_ca_topic_score_codex":0.013122957,"about_ca_topic_score_gemma":0.013784113,"teacher_disagreement_score":0.013122957,"about_ca_system_score_codex":0.0008839584,"about_ca_system_score_gemma":0.002099534,"threshold_uncertainty_score":0.026093125},"labels":[],"label_agreement":null},{"id":"W4396785780","doi":"10.1016/j.icheatmasstransfer.2024.107527","title":"Improving battery safety by utilizing composite phase change material to delay the occurrence of thermal runaway event","year":2024,"lang":"en","type":"article","venue":"International Communications in Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Thermal runaway; Materials science; Thermal conductivity; Thermal; Nuclear engineering; Cathode; Catastrophic failure; Battery (electricity); Mechanics; Composite material; Electrical engineering; Thermodynamics; Power (physics); Engineering; Physics","score_opus":0.040853727320443456,"score_gpt":0.33645476745882613,"score_spread":0.2956010401383827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396785780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87613803,0.0023689554,0.106637135,0.000367848,0.00074139336,0.00011962841,0.00017216947,0.0014590716,0.011995833],"genre_scores_gemma":[0.9867975,0.0002684584,0.0105116395,0.00008289175,0.00003126132,0.000017940845,0.000060401606,0.000034868208,0.002194974],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999337,0.0000039898587,0.0000035317998,0.000016623842,0.000026230508,0.000015878988],"domain_scores_gemma":[0.9998072,0.00003205807,0.0000424875,0.00001823665,0.000082143895,0.000018001716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000097290496,0.00030010205,0.00021520801,0.00029452858,0.00018222164,0.00035737193,0.00042421624,0.0003651903,0.002486577],"category_scores_gemma":[0.00038526248,0.00013364208,0.0001758361,0.00015546948,0.00012186696,0.00064598315,0.00022760082,0.0004277403,0.00050751853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032786778,0.00013283483,0.00059276854,0.00015787697,0.000009665013,0.00010288741,0.00002404318,0.0027043717,0.967308,0.0005767835,0.0005163363,0.02754653],"study_design_scores_gemma":[0.000025783032,0.0006505429,0.0013788672,0.000012053555,0.000027796072,0.0001637239,0.000027038168,0.022220233,0.9710189,0.0002703174,0.004192835,0.000011913672],"about_ca_topic_score_codex":0.00020191082,"about_ca_topic_score_gemma":0.00062986964,"teacher_disagreement_score":0.002486577,"about_ca_system_score_codex":0.00014561228,"about_ca_system_score_gemma":0.0002505016,"threshold_uncertainty_score":0.008318484},"labels":[],"label_agreement":null},{"id":"W4396909788","doi":"10.1109/mvt.2024.3392450","title":"A Hardware-Oriented Design Approach for Light Electric Vehicles: Onboard State-of-Charge Estimation","year":2024,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"State (computer science); State of charge; Engineering; Charge (physics); Estimation; Computer science; Embedded system; Electrical engineering; Computer hardware; Telecommunications; Systems engineering; Power (physics); Battery (electricity)","score_opus":0.014589233410038798,"score_gpt":0.2563965368337949,"score_spread":0.2418073034237561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396909788","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055193077,0.00025473456,0.98691815,0.0001477594,0.00006161362,0.00012198006,0.00003899022,0.0007340418,0.006203521],"genre_scores_gemma":[0.6032586,0.00093484955,0.38453746,0.00029841028,0.00009631047,0.00040406286,0.00020715951,0.00031558756,0.009947607],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992899,0.00015378752,0.000038358216,0.0001064064,0.0003572299,0.000054298474],"domain_scores_gemma":[0.9993543,0.00017225234,0.00009344937,0.00007374413,0.00028436224,0.000021948123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071529683,0.0011395339,0.00053695927,0.0008330497,0.00043498032,0.0018693643,0.0014389176,0.00068750547,0.0041156616],"category_scores_gemma":[0.0016930584,0.00052503607,0.0006988837,0.00035759923,0.00042666277,0.0011326488,0.00068424566,0.0010507496,0.0011839827],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001604063,0.00015959637,0.0025626915,0.00068695634,0.00012892942,0.00027976476,0.00039034963,0.6342763,0.03642819,0.027606651,0.0029640337,0.29435617],"study_design_scores_gemma":[0.000025678037,0.00033758924,0.0008077103,0.00013358504,0.00008503021,0.00019689772,0.00009482404,0.9554135,0.017390436,0.008284827,0.0171958,0.000034235083],"about_ca_topic_score_codex":0.0032568753,"about_ca_topic_score_gemma":0.005283321,"teacher_disagreement_score":0.0041156616,"about_ca_system_score_codex":0.0007234515,"about_ca_system_score_gemma":0.0010977864,"threshold_uncertainty_score":0.013768315},"labels":[],"label_agreement":null},{"id":"W4398787654","doi":"10.1109/tpel.2024.3405193","title":"Control Techniques With Low Computational Burden for a DAB-Based Two-Stage DC–DC EV Charging Converter System","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Canada First Research Excellence Fund","keywords":"Converters; Transient (computer programming); Voltage; Direct current; Forward converter; Electronic engineering; Power (physics); Electrical engineering; Computer science; Engineering; Control theory (sociology); Boost converter; Control (management); Physics","score_opus":0.006474715577929338,"score_gpt":0.252229247210949,"score_spread":0.2457545316330197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398787654","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01714276,0.0006101447,0.96584785,0.00017282205,0.00019057386,0.00025257264,0.000037492344,0.002645856,0.013099868],"genre_scores_gemma":[0.90454733,0.00052154606,0.08523971,0.00016543346,0.00007879509,0.0002610399,0.00009266092,0.000073149,0.009020374],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996661,0.000036050522,0.000034833567,0.00007640656,0.00015220321,0.000034507884],"domain_scores_gemma":[0.99985397,0.00002070703,0.000018308081,0.000022517368,0.000074663025,0.000009817793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027981613,0.00063170027,0.00044986143,0.00045935603,0.0006050429,0.0009685137,0.00094791205,0.0003206457,0.0043220404],"category_scores_gemma":[0.0002655157,0.00024671038,0.00033876943,0.00040042933,0.00026801965,0.00049702066,0.00048764303,0.0006745128,0.0009714826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007269093,0.00040191456,0.0012149833,0.0012384948,0.00010601906,0.00049243233,0.0004958162,0.08931574,0.16180252,0.020793384,0.007877804,0.71553403],"study_design_scores_gemma":[0.0002317258,0.00056354736,0.0008724281,0.000048660826,0.000068649475,0.00047317435,0.000099684075,0.9259072,0.04449482,0.0032535081,0.023924705,0.000061934166],"about_ca_topic_score_codex":0.0021206944,"about_ca_topic_score_gemma":0.0019195873,"teacher_disagreement_score":0.0043220404,"about_ca_system_score_codex":0.00031196143,"about_ca_system_score_gemma":0.00065992714,"threshold_uncertainty_score":0.014458716},"labels":[],"label_agreement":null},{"id":"W4399014371","doi":"10.1016/j.est.2024.112128","title":"A universal optimal sizing for hybrid energy storage system of electric vehicles","year":2024,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Sizing; Energy storage; Automotive engineering; Computer science; Engineering; Physics; Chemistry","score_opus":0.01027321891844415,"score_gpt":0.23415192721796516,"score_spread":0.223878708299521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399014371","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10641305,0.0010996884,0.8732447,0.00023790891,0.00018300474,0.00017085171,0.00018787004,0.00088142353,0.017581403],"genre_scores_gemma":[0.9708043,0.00012481073,0.027042253,0.00003600728,0.0000245126,0.000054346714,0.000042879306,0.000031251493,0.001839579],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998653,0.000026188794,0.000010025868,0.000033318458,0.000039214025,0.0000259706],"domain_scores_gemma":[0.99988425,0.00003637036,0.000014028911,0.000014237147,0.000043983127,0.000007102404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025763302,0.0005445435,0.00075155235,0.0003016315,0.00048056516,0.00074228115,0.0005698326,0.00036243733,0.0036524644],"category_scores_gemma":[0.00039065452,0.00032238424,0.00044901145,0.0002939829,0.00035793896,0.0005456047,0.00046759806,0.00031345474,0.00023184928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020335619,0.00006692042,0.0005027329,0.00023537932,0.000062985455,0.000114778515,0.00009580424,0.8451673,0.025717666,0.017725896,0.00242591,0.107681245],"study_design_scores_gemma":[0.000017389471,0.000058574504,0.00021331612,0.000010523655,0.0000203294,0.000027914406,0.000017434004,0.99375266,0.0017684797,0.0033382575,0.0007692266,0.0000059647723],"about_ca_topic_score_codex":0.0034430297,"about_ca_topic_score_gemma":0.007922894,"teacher_disagreement_score":0.0036524644,"about_ca_system_score_codex":0.00062263216,"about_ca_system_score_gemma":0.0009272679,"threshold_uncertainty_score":0.012218654},"labels":[],"label_agreement":null},{"id":"W4399349135","doi":"10.1088/1742-6596/2771/1/012008","title":"Thermal-electric modelling and multi-state joint parameter identification of lithium-ion batteries","year":2024,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Energy","funders":"","keywords":"Lithium (medication); Joint (building); Identification (biology); Ion; Thermal; State (computer science); Materials science; Computer science; Chemistry; Engineering; Physics; Thermodynamics; Structural engineering; Algorithm; Psychology","score_opus":0.0492112141986841,"score_gpt":0.27740715733754084,"score_spread":0.22819594313885674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399349135","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07710898,0.00039150185,0.91610456,0.00010993084,0.000030032104,0.000049234543,0.00016160267,0.00090576435,0.00513839],"genre_scores_gemma":[0.98803,0.00017509965,0.008895775,0.000019775602,0.000007640201,0.00007760758,0.000105600964,0.000038602386,0.0026498402],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997887,0.000056845103,0.000014605351,0.000051183502,0.00006974565,0.00001885162],"domain_scores_gemma":[0.99982256,0.00006872236,0.000028337621,0.00003382618,0.00004188664,0.000004732689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026378199,0.000570865,0.0006469961,0.00034690616,0.0002698126,0.0007505589,0.00083987194,0.0005596496,0.0011842963],"category_scores_gemma":[0.00072519504,0.0002953466,0.00063108373,0.00035576068,0.0004029054,0.001083195,0.00044446744,0.0004968892,0.00033950678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003802179,0.000025331112,0.0005497912,0.000050111426,0.000027582544,0.00005617595,0.0000555743,0.9779479,0.008011554,0.0024564406,0.00016651148,0.010614975],"study_design_scores_gemma":[0.000001529971,0.000010959333,0.00014028107,0.0000022298025,0.0000039576034,0.0000108368395,0.000003566862,0.9980421,0.0010148213,0.00053998,0.00022654331,0.0000031596126],"about_ca_topic_score_codex":0.0033818125,"about_ca_topic_score_gemma":0.0026821527,"teacher_disagreement_score":0.0033818125,"about_ca_system_score_codex":0.00043514723,"about_ca_system_score_gemma":0.0003634163,"threshold_uncertainty_score":0.006724298},"labels":[],"label_agreement":null},{"id":"W4399374923","doi":"10.1109/icit58233.2024.10540719","title":"Voltage Relaxation Pattern Recognition for Efficient Sorting of Healthy Cells for Second-Life Applications of Retired Electric Vehicle Batteries","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Sorting; Electric vehicle; Voltage; Relaxation (psychology); Computer science; Electrical engineering; Automotive engineering; Artificial intelligence; Pattern recognition (psychology); Engineering; Psychology; Neuroscience; Physics; Algorithm","score_opus":0.02337513335313279,"score_gpt":0.2832994175647178,"score_spread":0.25992428421158503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399374923","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13342509,0.00062114303,0.8596437,0.00020737818,0.00016369895,0.00013441542,0.0002424922,0.0021863382,0.0033758278],"genre_scores_gemma":[0.72599316,0.00039231806,0.26793668,0.00023132862,0.00004131245,0.00012485456,0.0006301861,0.00008354088,0.004566603],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99976,0.000018911402,0.000024315208,0.00006364224,0.00010169041,0.000031452717],"domain_scores_gemma":[0.9995789,0.000093112714,0.000059770053,0.000053721196,0.00019511388,0.000019372543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024489666,0.0004266792,0.00048184098,0.0007870398,0.00020186327,0.0005541452,0.00077503046,0.00045805852,0.0013995209],"category_scores_gemma":[0.000995431,0.00015175567,0.00027092436,0.0007121894,0.00022525304,0.00059783517,0.000345581,0.0004703552,0.00061683694],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000289742,0.00017565353,0.0053857015,0.00020568712,0.000033809203,0.000215064,0.00014971949,0.032755088,0.12725848,0.0019210647,0.003106824,0.82850313],"study_design_scores_gemma":[0.000024296236,0.00028765606,0.0054566422,0.000021713864,0.000024633791,0.0005110602,0.00013214127,0.8686343,0.11745961,0.0021986421,0.0052133487,0.00003599432],"about_ca_topic_score_codex":0.0013832175,"about_ca_topic_score_gemma":0.002118249,"teacher_disagreement_score":0.0013995209,"about_ca_system_score_codex":0.0003027837,"about_ca_system_score_gemma":0.00041931838,"threshold_uncertainty_score":0.0046818256},"labels":[],"label_agreement":null},{"id":"W4399375114","doi":"10.1109/icit58233.2024.10540903","title":"A Quad-Active Bridge (QAB)-Based Solid-State Transformer for Fast Charging of Light/Medium and Heavy Electric Vehicles","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Converters; Transformer; Modular design; Electrical engineering; Charging station; MATLAB; Voltage; Computer science; Grid; Electric vehicle; Engineering; Power (physics); Physics","score_opus":0.016213182952526467,"score_gpt":0.2852478373050594,"score_spread":0.26903465435253293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399375114","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1039748,0.00051404856,0.8747899,0.00024230385,0.00021694865,0.00025397752,0.00029795553,0.0016047512,0.0181053],"genre_scores_gemma":[0.9498923,0.00020445204,0.04470831,0.0001084877,0.000025248057,0.00005495268,0.00020511741,0.000047059497,0.004754074],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998809,0.000023968982,0.0000103514785,0.000019953206,0.000054026314,0.000010835973],"domain_scores_gemma":[0.9999037,0.000010925543,0.000013121998,0.000012646107,0.000046179255,0.000013450803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017877533,0.0002337923,0.00028671438,0.00028767076,0.0002529197,0.00040734667,0.0008137227,0.0003018913,0.0040423777],"category_scores_gemma":[0.00017590568,0.00013788979,0.00024289658,0.00035083355,0.00017933363,0.00070408755,0.00036009142,0.00036157525,0.0014460778],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006716505,0.00033914208,0.0022879334,0.0007444472,0.00007035673,0.00038332978,0.00020215882,0.020733284,0.6441814,0.021712787,0.0076356144,0.30103794],"study_design_scores_gemma":[0.00031299583,0.0034218917,0.004019431,0.00014933797,0.0001546473,0.0035591545,0.00016281691,0.4903827,0.39813295,0.011382644,0.08824217,0.00007934949],"about_ca_topic_score_codex":0.00038397036,"about_ca_topic_score_gemma":0.000611953,"teacher_disagreement_score":0.0040423777,"about_ca_system_score_codex":0.00026105365,"about_ca_system_score_gemma":0.00029215476,"threshold_uncertainty_score":0.013523161},"labels":[],"label_agreement":null},{"id":"W4399426760","doi":"10.1109/access.2024.3411408","title":"A Low Impact V2H Battery Charging Station Using an AC Green Plug Switched Filter Scheme","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Battery (electricity); Scheme (mathematics); Computer science; Electrical engineering; Materials science; Electronic engineering; Topology (electrical circuits); Engineering; Physics; Power (physics)","score_opus":0.06304969800034228,"score_gpt":0.3737614813575879,"score_spread":0.31071178335724564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399426760","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21423489,0.00064468966,0.75443685,0.00024136632,0.00017734378,0.00016698416,0.0001857266,0.0024107508,0.027501428],"genre_scores_gemma":[0.9704874,0.00011163147,0.02289699,0.000050677038,0.000021839076,0.000027924347,0.00005468735,0.000019546722,0.0063292407],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989974,0.000012250984,0.000005322724,0.000021770888,0.00004758157,0.000013242821],"domain_scores_gemma":[0.99995863,0.0000050710355,0.0000051631437,0.0000067727938,0.000019349356,0.0000051171237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007679914,0.00025936292,0.00020434124,0.0002738945,0.00034534273,0.00050909945,0.00080167747,0.00035727737,0.0030237008],"category_scores_gemma":[0.000076534336,0.00007926621,0.0001948568,0.00031769957,0.00013588414,0.00047006944,0.00018726742,0.00022321432,0.0005275244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093084003,0.00027261226,0.0021400207,0.00040616826,0.000113630755,0.0003739441,0.00016094175,0.04640988,0.36770537,0.014353422,0.0045073805,0.5626258],"study_design_scores_gemma":[0.00015354918,0.0014030585,0.0033623844,0.000040441297,0.0001430387,0.0009788148,0.00011522192,0.6418084,0.29925144,0.005076702,0.047606472,0.000060481085],"about_ca_topic_score_codex":0.001810585,"about_ca_topic_score_gemma":0.0028154617,"teacher_disagreement_score":0.0030237008,"about_ca_system_score_codex":0.00039249109,"about_ca_system_score_gemma":0.00029122844,"threshold_uncertainty_score":0.010115325},"labels":[],"label_agreement":null},{"id":"W4399432832","doi":"10.1002/smtd.202400029","title":"Mechanism and Control Strategies of Lithium‐Ion Battery Safety: A Review","year":2024,"lang":"en","type":"review","venue":"Small Methods","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Yunnan University; Tsinghua National Laboratory for Information Science and Technology; Ministry of Science and Technology of the People's Republic of China; Canada Excellence Research Chairs, Government of Canada; National Natural Science Foundation of China","keywords":"Thermal runaway; Risk analysis (engineering); Mechanism (biology); Battery (electricity); Root cause; Computer science; Computer security; Reliability engineering; Engineering; Business","score_opus":0.08246949335490922,"score_gpt":0.42185230387971984,"score_spread":0.3393828105248106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399432832","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00041330478,0.9964252,0.00057440705,0.00017979492,0.0001286626,0.00000898378,0.000029759432,0.000013865551,0.002226015],"genre_scores_gemma":[0.002429352,0.9962429,0.00038329666,0.000099050456,0.00007916604,0.000011943658,0.00003774062,0.0000021468743,0.0007143872],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998343,0.000020457892,0.00002752918,0.000037930244,0.00006275824,0.00001690409],"domain_scores_gemma":[0.99975914,0.0001122371,0.000042610514,0.000009128097,0.00006456351,0.000012270623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000410185,0.0010258798,0.0011546672,0.0019126222,0.00035136743,0.0009988096,0.000998284,0.0010103042,0.0036846797],"category_scores_gemma":[0.00058743043,0.00038172418,0.00077207823,0.0018532383,0.00038288478,0.0017002044,0.00052760437,0.00096760335,0.0012655817],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095444244,0.00016536769,0.00040242972,0.07687028,0.00020416542,0.0003706034,0.00015407923,0.0020975878,0.008378255,0.020556942,0.01927473,0.87143004],"study_design_scores_gemma":[0.000013917694,0.0002691261,0.0008562027,0.005552248,0.00031241777,0.001047033,0.00010450094,0.00079214765,0.004277386,0.0050613466,0.9816667,0.000047042915],"about_ca_topic_score_codex":0.0011154191,"about_ca_topic_score_gemma":0.0012681258,"teacher_disagreement_score":0.0036846797,"about_ca_system_score_codex":0.00050263514,"about_ca_system_score_gemma":0.0011339723,"threshold_uncertainty_score":0.012326419},"labels":[],"label_agreement":null},{"id":"W4399468791","doi":"10.11591/ijece.v14i4.pp3640-3648","title":"Active balancing system in battery management system for Lithium-ion battery","year":2024,"lang":"en","type":"article","venue":"International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Parachute","funders":"","keywords":"Battery (electricity); Battery pack; Computer science; Context (archaeology); State of charge; Electronics; Energy management; MATLAB; Voltage; Lithium-ion battery; Electrical engineering; Power (physics); Automotive engineering; Reliability engineering; Engineering; Energy (signal processing)","score_opus":0.004254813443754793,"score_gpt":0.2301128267014675,"score_spread":0.2258580132577127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399468791","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12891355,0.0024800745,0.7824433,0.0007121865,0.0007941985,0.0006304625,0.00042680424,0.013289284,0.07031007],"genre_scores_gemma":[0.9703471,0.00038421142,0.01732225,0.000162461,0.000095501884,0.0002047428,0.00017271501,0.00005787496,0.011253189],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977833,0.00003316761,0.00002564192,0.00005067779,0.00008796035,0.000024290808],"domain_scores_gemma":[0.99986327,0.00001688167,0.000017449507,0.000013241732,0.00007924548,0.000009938353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020008595,0.00039377468,0.00035424973,0.00049314176,0.0006533549,0.0010029848,0.00101438,0.0004550265,0.009733764],"category_scores_gemma":[0.0002851719,0.0001463407,0.00022435305,0.0002890702,0.00018765316,0.0007273923,0.00046073872,0.0003403839,0.0020224748],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012144629,0.00043553385,0.0044871983,0.0018072394,0.00014236242,0.00081588695,0.0012601827,0.05643082,0.34209952,0.017136658,0.01848083,0.55568933],"study_design_scores_gemma":[0.00026092536,0.0019460055,0.005855665,0.00030014,0.0002796207,0.0012929991,0.0003419384,0.71312225,0.16387609,0.0074480404,0.105147414,0.00012890973],"about_ca_topic_score_codex":0.0011584581,"about_ca_topic_score_gemma":0.001407262,"teacher_disagreement_score":0.009733764,"about_ca_system_score_codex":0.00037950664,"about_ca_system_score_gemma":0.0003394736,"threshold_uncertainty_score":0.032562673},"labels":[],"label_agreement":null},{"id":"W4399557112","doi":"10.1016/j.applthermaleng.2024.123599","title":"Hierarchical thermal modeling and surrogate-model-based design optimization framework for cold plates used in battery thermal management systems","year":2024,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Thermal management of electronic devices and systems; Surrogate model; Battery (electricity); Thermal; Engineering; Mechanical engineering; Computer science; Systems engineering; Reliability engineering; Thermodynamics","score_opus":0.02015583022796887,"score_gpt":0.2410080700458816,"score_spread":0.22085223981791272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399557112","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016435804,0.00039469125,0.97252196,0.0001886493,0.000030047206,0.000060877777,0.00015868816,0.0003302368,0.009878986],"genre_scores_gemma":[0.7936145,0.00063814665,0.19493783,0.000168779,0.000040100378,0.0005528754,0.00052169315,0.0002466653,0.009279345],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996251,0.00011889012,0.000012408297,0.000046634737,0.0001529122,0.000044119926],"domain_scores_gemma":[0.999663,0.00015327496,0.000042205444,0.000029560124,0.000090850874,0.000021134332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008095006,0.0010545654,0.00085174287,0.00052003027,0.00041923267,0.0010935351,0.00083720486,0.0009247772,0.0027930564],"category_scores_gemma":[0.0011339254,0.0006494048,0.0012080414,0.00038439175,0.0006722532,0.0006448246,0.0008206243,0.001082442,0.0004651563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000048369125,0.0000041902967,0.00006996894,0.0000140869815,0.000003882797,0.00000947936,0.000006000348,0.99625635,0.00045028524,0.0015336784,0.000079579724,0.0015676516],"study_design_scores_gemma":[0.000001901104,0.000007846517,0.000026217314,0.0000029932019,0.0000022697968,0.000002642963,0.0000031267655,0.99869907,0.00016342,0.0007892184,0.00029982644,0.0000014695428],"about_ca_topic_score_codex":0.0064735194,"about_ca_topic_score_gemma":0.0069740056,"teacher_disagreement_score":0.0064735194,"about_ca_system_score_codex":0.0010602034,"about_ca_system_score_gemma":0.0018512409,"threshold_uncertainty_score":0.012871683},"labels":[],"label_agreement":null},{"id":"W4399607868","doi":"10.3390/en17122896","title":"An Enhanced Ageing Model for Solid-State Batteries","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Fade; Automotive industry; Battery (electricity); Automotive engineering; Void (composites); Computer science; Engineering; Materials science; Power (physics)","score_opus":0.018429728591901413,"score_gpt":0.30579982150642204,"score_spread":0.28737009291452065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399607868","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09092412,0.004404158,0.8675396,0.0007537173,0.00066907477,0.00026470333,0.00080703513,0.0006920101,0.033945546],"genre_scores_gemma":[0.9466255,0.0026984657,0.023305686,0.00024235292,0.00015759202,0.00027235117,0.0005836288,0.00014391373,0.025970522],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974805,0.000046631314,0.000020139387,0.00003725904,0.000118206575,0.000029642928],"domain_scores_gemma":[0.9995646,0.00014044081,0.000050414634,0.000042121275,0.00018295129,0.000019539219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055276864,0.00064826576,0.00068073306,0.00055018615,0.0002984762,0.0005792417,0.0013879217,0.0010945705,0.0018786275],"category_scores_gemma":[0.0016599629,0.00022114824,0.0008780584,0.00037640816,0.00050129276,0.0013494169,0.0006342696,0.0008191902,0.0008342428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060279017,0.000032253804,0.0006764689,0.00015073542,0.000015121048,0.00022448976,0.00013829042,0.9580433,0.012051188,0.016755322,0.000986501,0.010866104],"study_design_scores_gemma":[0.000003336884,0.000017302953,0.00009039189,0.0000065390677,0.0000049385467,0.00003528614,0.0000061803876,0.99628156,0.0007693294,0.0016180476,0.0011622472,0.000004719239],"about_ca_topic_score_codex":0.003365312,"about_ca_topic_score_gemma":0.0018402982,"teacher_disagreement_score":0.003365312,"about_ca_system_score_codex":0.0006169819,"about_ca_system_score_gemma":0.0005119745,"threshold_uncertainty_score":0.006691456},"labels":[],"label_agreement":null},{"id":"W4399621304","doi":"10.1109/iraset60544.2024.10548379","title":"Battery Monitoring System and Control Using LoRa Technology for Battery Behavior and Analysis","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Memorial University of Newfoundland","keywords":"Battery (electricity); Computer science; Automotive engineering; Engineering; Power (physics)","score_opus":0.019682450859573833,"score_gpt":0.2936484858462166,"score_spread":0.2739660349866428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399621304","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08920351,0.00060295255,0.8787592,0.0003361027,0.00018925288,0.0005625793,0.00043925506,0.014015116,0.015892055],"genre_scores_gemma":[0.9030372,0.00043988795,0.08625235,0.00022965354,0.00010410012,0.0007547125,0.00037476348,0.00016503823,0.008642381],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994312,0.0000948776,0.00004811419,0.00014034226,0.00024174781,0.00004363581],"domain_scores_gemma":[0.99957234,0.00006735084,0.000061852596,0.00007522806,0.00019570037,0.000027532915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037512806,0.0004638625,0.0005104814,0.00085231697,0.00039207132,0.00072351214,0.0008557685,0.00038431425,0.0024127157],"category_scores_gemma":[0.0008804112,0.00016694191,0.00029618517,0.00045767266,0.00022176988,0.000815519,0.0007646544,0.0003835778,0.0011574726],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005811553,0.00045755,0.011923789,0.00087150565,0.00012047738,0.0008072137,0.0008959488,0.031510092,0.23176397,0.009478383,0.012417759,0.6991722],"study_design_scores_gemma":[0.00019206,0.0014994633,0.014997387,0.00016954588,0.00021710557,0.0020982306,0.00031901462,0.63072306,0.24814413,0.0055544344,0.09582532,0.00026032922],"about_ca_topic_score_codex":0.00092869805,"about_ca_topic_score_gemma":0.0006764843,"teacher_disagreement_score":0.0024127157,"about_ca_system_score_codex":0.00026615136,"about_ca_system_score_gemma":0.0004434902,"threshold_uncertainty_score":0.008071303},"labels":[],"label_agreement":null},{"id":"W4399622776","doi":"10.3390/batteries10060204","title":"Recent Progress of Deep Learning Methods for Health Monitoring of Lithium-Ion Batteries","year":2024,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Helmholtz-Gemeinschaft; Karlsruhe Institute of Technology; Center of Excellence for Learning in Education, Science and Technology","keywords":"Electrification; Computer science; State of health; Context (archaeology); Risk analysis (engineering); Battery (electricity); Systems engineering; Engineering; Power (physics); Business; Electricity; Electrical engineering","score_opus":0.039512819506486455,"score_gpt":0.3940436676627617,"score_spread":0.3545308481562753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399622776","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019996958,0.27836117,0.6792417,0.0037300014,0.0010336373,0.00010209166,0.0008104175,0.0014866488,0.015237276],"genre_scores_gemma":[0.41281614,0.34223342,0.21561418,0.0025382931,0.0024096717,0.0004165445,0.0040009767,0.000386215,0.019584514],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99947196,0.00012113024,0.000057776735,0.00012937542,0.00018222566,0.00003757453],"domain_scores_gemma":[0.9990287,0.0004979292,0.00007637846,0.000051098035,0.0003147508,0.000031197433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012607588,0.0013705981,0.0011154802,0.0012737111,0.00021546344,0.0014982969,0.0016840895,0.0010507846,0.0022568367],"category_scores_gemma":[0.0033641225,0.00046899886,0.001064238,0.0015492507,0.00044348088,0.0014742379,0.001037061,0.0018507632,0.0009814388],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014606355,0.00013095961,0.0035442505,0.0019807823,0.00029408504,0.00016766724,0.00010555788,0.12727503,0.004336975,0.010329305,0.012821499,0.8388678],"study_design_scores_gemma":[0.000025742997,0.00014289621,0.002140405,0.0005857531,0.00017837377,0.00015645272,0.00005968844,0.92966795,0.005280597,0.016418261,0.04528188,0.00006190288],"about_ca_topic_score_codex":0.004866103,"about_ca_topic_score_gemma":0.0030908815,"teacher_disagreement_score":0.004866103,"about_ca_system_score_codex":0.0007398063,"about_ca_system_score_gemma":0.0010303814,"threshold_uncertainty_score":0.009675562},"labels":[],"label_agreement":null},{"id":"W4399802208","doi":"10.3390/batteries10060215","title":"Development of a Fast Running Equivalent Circuit Model with Thermal Predictions for Battery Management Applications","year":2024,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Discovery Eye Foundation","keywords":"Battery (electricity); Computer science; Equivalent circuit; Thermal management of electronic devices and systems; Thermal; Automotive engineering; Electrical engineering; Mechanical engineering; Voltage; Meteorology; Engineering; Physics; Thermodynamics; Power (physics)","score_opus":0.03221351261402878,"score_gpt":0.26966748672872604,"score_spread":0.23745397411469726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399802208","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00594712,0.00028019707,0.9849653,0.000117302065,0.000067938454,0.000104235434,0.00024286253,0.0013593439,0.0069157123],"genre_scores_gemma":[0.60250133,0.0019691067,0.35472956,0.0002924111,0.000152676,0.001451045,0.0017323621,0.0010252498,0.036146224],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970955,0.00004309421,0.000017664843,0.000054063643,0.00015157682,0.000024033581],"domain_scores_gemma":[0.99969304,0.00010348987,0.000026338032,0.000040364517,0.00012869993,0.000008079033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032369283,0.0010989273,0.0009141907,0.0005252929,0.00040493594,0.0008672143,0.0019448022,0.0014556451,0.005148682],"category_scores_gemma":[0.0010955611,0.00051938876,0.0015555056,0.0005402312,0.00030783197,0.0013138978,0.0004954186,0.0014429531,0.002577576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030350855,0.00004691387,0.00035406117,0.0002292031,0.00003843516,0.00022542595,0.00008579688,0.930206,0.021290572,0.008536041,0.002187108,0.036770098],"study_design_scores_gemma":[0.000004076955,0.000020290223,0.00006396557,0.000010357629,0.000011789885,0.0000399514,0.000008064869,0.9931665,0.0021922493,0.00083440874,0.0036408843,0.0000073656465],"about_ca_topic_score_codex":0.0063136313,"about_ca_topic_score_gemma":0.00615913,"teacher_disagreement_score":0.0063136313,"about_ca_system_score_codex":0.0007978913,"about_ca_system_score_gemma":0.0009650629,"threshold_uncertainty_score":0.017224073},"labels":[],"label_agreement":null},{"id":"W4399818899","doi":"10.1007/978-3-031-59733-6_8","title":"Future Prospects and Emerging Technologies","year":2024,"lang":"en","type":"book-chapter","venue":"The Springer series in sustainable energy policy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science","score_opus":0.005551057005093756,"score_gpt":0.2311995581243457,"score_spread":0.22564850111925194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399818899","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009262895,0.3840162,0.0035187586,0.018799959,0.013979096,0.00003328686,0.00010103688,0.00013476859,0.5784906],"genre_scores_gemma":[0.010293692,0.26957,0.0030279234,0.0074329837,0.0057710013,0.00007045818,0.00018968528,0.000088270586,0.703556],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995952,0.00007576315,0.000013109507,0.00004621223,0.00021059396,0.0000591637],"domain_scores_gemma":[0.9997907,0.00007019454,0.000011666668,0.000023943996,0.00006495321,0.000038463473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007459078,0.0008338856,0.0005856295,0.0009805065,0.0008974877,0.004568587,0.00096220704,0.0019362883,0.05794073],"category_scores_gemma":[0.0009729401,0.00025964595,0.00032766676,0.0012696618,0.001424935,0.006169194,0.0018554166,0.002668902,0.022118611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003202371,0.000082941515,0.00008090389,0.00060788664,0.0000074152103,0.00012479837,0.00028260596,0.00039810673,0.0015093958,0.32688773,0.3470004,0.3229859],"study_design_scores_gemma":[0.0000019241447,0.000009728357,0.000047874513,0.00018434867,0.0000015550636,0.000057182675,0.000114081304,0.000085763626,0.00011425671,0.03826076,0.9611193,0.0000030959657],"about_ca_topic_score_codex":0.0008692121,"about_ca_topic_score_gemma":0.0021736918,"teacher_disagreement_score":0.05794073,"about_ca_system_score_codex":0.0014670235,"about_ca_system_score_gemma":0.001733329,"threshold_uncertainty_score":0.19383103},"labels":[],"label_agreement":null},{"id":"W4399970494","doi":"10.1021/acsnano.4c04529","title":"Mass Transfer Analysis for Achieving High-Rate Lithium–Air Batteries","year":2024,"lang":"en","type":"article","venue":"ACS Nano","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; Chinese Academy of Sciences; National Natural Science Foundation of China; Tencent","keywords":"Lithium (medication); Materials science; Mass transfer; Nanotechnology; Chemistry; Chromatography; Medicine","score_opus":0.014735297647546547,"score_gpt":0.25752922163213504,"score_spread":0.2427939239845885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399970494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53177893,0.03496639,0.3766587,0.0040547433,0.0009237107,0.0005834892,0.0006759494,0.0012036669,0.049154453],"genre_scores_gemma":[0.94558865,0.012218546,0.031969007,0.00044617688,0.00019665081,0.00014885161,0.0002565324,0.00007156673,0.009103958],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997646,0.000025007128,0.000011643655,0.000033501583,0.0001367199,0.00002845296],"domain_scores_gemma":[0.99984086,0.00006874774,0.000021070106,0.000009476809,0.00005426597,0.000005569642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005264081,0.0005088496,0.0002834628,0.00078004296,0.00028725527,0.0005905007,0.0006725082,0.0007511743,0.0034117394],"category_scores_gemma":[0.0011304375,0.00019453897,0.00056138856,0.00032653104,0.0003850952,0.0016999018,0.0004125485,0.0009562243,0.0006026392],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018328267,0.000120379234,0.0011673148,0.0016853532,0.000036851805,0.00053179316,0.00035289497,0.009138929,0.90530735,0.035748955,0.002754083,0.042972818],"study_design_scores_gemma":[0.000021435248,0.00030282198,0.0011276468,0.00010768481,0.00005238578,0.000381028,0.00022555924,0.09468652,0.8684184,0.011742764,0.022889525,0.000044289707],"about_ca_topic_score_codex":0.00058486895,"about_ca_topic_score_gemma":0.00073250616,"teacher_disagreement_score":0.0034117394,"about_ca_system_score_codex":0.0005108536,"about_ca_system_score_gemma":0.000236756,"threshold_uncertainty_score":0.011413395},"labels":[],"label_agreement":null},{"id":"W4399981382","doi":"10.20319/mijst.2024.10.139154","title":"STRUCTURAL ANALYSIS OF A LIGHTWEIGHT ELECTRIC VEHICLE CHASSIS","year":2024,"lang":"en","type":"article","venue":"MATTER International Journal of Science and Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Chassis; Structural engineering; Finite element method; Shock (circulatory); Deformation (meteorology); Automotive engineering; Vibration; Stress (linguistics); Materials science; Engineering; Composite material; Physics; Acoustics","score_opus":0.007912531143900697,"score_gpt":0.27915322234065887,"score_spread":0.2712406911967582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399981382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8496217,0.00022598547,0.12269833,0.00010963047,0.00002712132,0.00007953243,0.00028267293,0.00027716774,0.026677867],"genre_scores_gemma":[0.9901225,0.000070399525,0.0048837797,0.000009340765,0.0000036726929,0.000022497672,0.00015503007,0.000013681765,0.004719181],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999876,0.00001080353,0.000003609107,0.000019549703,0.00006690818,0.00002316116],"domain_scores_gemma":[0.9999026,0.000016641947,0.000014971361,0.000012422423,0.00004421807,0.000009077525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000119971395,0.00034669705,0.00029424342,0.00064284325,0.00033824408,0.00041925584,0.00042477768,0.00045713372,0.0023773343],"category_scores_gemma":[0.00019715418,0.00025122153,0.00030970035,0.00023985947,0.00035848466,0.00020873078,0.0002701418,0.00016637381,0.00049255876],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014454438,0.000064872445,0.00575152,0.00012387459,0.000032833017,0.00047237202,0.00015508474,0.6665388,0.2746019,0.0058693006,0.00043911638,0.045805804],"study_design_scores_gemma":[0.000010913351,0.00032433606,0.011005206,0.000014116611,0.000022721768,0.00014652009,0.00018255669,0.9598858,0.023298815,0.0009998984,0.0040895324,0.000019629932],"about_ca_topic_score_codex":0.004358732,"about_ca_topic_score_gemma":0.0042932257,"teacher_disagreement_score":0.004358732,"about_ca_system_score_codex":0.00047363486,"about_ca_system_score_gemma":0.0005890137,"threshold_uncertainty_score":0.008666754},"labels":[],"label_agreement":null},{"id":"W4400094459","doi":"10.1007/978-3-031-62582-4_4","title":"Optimizing Closed-Loop Supply Chain in the Electric Vehicle Battery Industry: A Fully Fuzzy Approach","year":2024,"lang":"en","type":"book-chapter","venue":"IFIP advances in information and communication technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Polytechnique Montréal","funders":"","keywords":"Closed loop; Supply chain; Fuzzy logic; Automotive engineering; Electric vehicle; Loop (graph theory); Battery (electricity); Computer science; Control engineering; Business; Engineering; Mathematics; Artificial intelligence; Physics; Marketing; Power (physics)","score_opus":0.011713625750336827,"score_gpt":0.25009633906682305,"score_spread":0.23838271331648622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400094459","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02550741,0.0008094578,0.9585203,0.00032073975,0.000064286425,0.000065161126,0.00010204055,0.00012771878,0.014482894],"genre_scores_gemma":[0.9055587,0.0009770308,0.0812765,0.00012547999,0.00009444829,0.00013556163,0.00011846763,0.0000735275,0.011640272],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995747,0.00015280768,0.000018807546,0.00008026585,0.000104084625,0.000069400536],"domain_scores_gemma":[0.99943143,0.0003739591,0.00004593735,0.00002227673,0.00010303642,0.00002324218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000965681,0.0010610017,0.0015207184,0.0005286517,0.0006165198,0.002218634,0.0012636074,0.0019312431,0.0043531093],"category_scores_gemma":[0.0017373196,0.0007163303,0.000954042,0.0008343891,0.00074796885,0.0015245881,0.0009154241,0.0009818858,0.00033185646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028737637,0.000025230147,0.000102330145,0.00006298104,0.000029136454,0.000047677517,0.00003293539,0.97844726,0.00056660984,0.0068079,0.0004219571,0.013427257],"study_design_scores_gemma":[0.000004403837,0.00002379793,0.00006205122,0.00000897915,0.0000100577345,0.000008136214,0.000014784293,0.9920848,0.00015548893,0.0073250094,0.00029724088,0.000005248162],"about_ca_topic_score_codex":0.010885218,"about_ca_topic_score_gemma":0.006391654,"teacher_disagreement_score":0.010885218,"about_ca_system_score_codex":0.0013398877,"about_ca_system_score_gemma":0.0013378329,"threshold_uncertainty_score":0.021643698},"labels":[],"label_agreement":null},{"id":"W4400119838","doi":"10.3390/en17133185","title":"Real-Time Implementable Integrated Energy and Cabin Temperature Management for Battery Life Extension in Electric Vehicles","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"HVAC; Battery (electricity); Automotive engineering; Energy consumption; State of health; Computer science; Range (aeronautics); Energy management; Driving range; Simulation; Reliability engineering; Air conditioning; Power (physics); Engineering; Energy (signal processing); Electrical engineering; Mechanical engineering","score_opus":0.00805590649518931,"score_gpt":0.24753925465155216,"score_spread":0.23948334815636285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400119838","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13509513,0.00077132875,0.8518805,0.00021541589,0.00006528834,0.0000744946,0.00009255472,0.0010433401,0.010762006],"genre_scores_gemma":[0.9920088,0.00010698312,0.006882146,0.000015920177,0.000005246539,0.00002448696,0.000031860174,0.00001834503,0.0009062653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989235,0.000021487887,0.0000039701617,0.000023287943,0.000037321573,0.000021567854],"domain_scores_gemma":[0.9999051,0.000033824326,0.000019934441,0.000008319308,0.000025719679,0.0000071184736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023383576,0.00043313077,0.00031924102,0.00017530372,0.00023618467,0.0004925421,0.00047122155,0.0002810583,0.0011425507],"category_scores_gemma":[0.00041806872,0.00018173442,0.00030264142,0.000119848024,0.00024269287,0.0004040219,0.00044919166,0.00042645965,0.00019250227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006497503,0.00004533125,0.0008949613,0.00006906023,0.000012103485,0.000053474225,0.000056056702,0.9578031,0.01145267,0.002030154,0.00041254936,0.027105546],"study_design_scores_gemma":[0.000004736194,0.000046960555,0.00021911087,0.0000049159426,0.000005419148,0.000011870624,0.000011846884,0.99612254,0.0023410462,0.00052502047,0.0007019687,0.000004558869],"about_ca_topic_score_codex":0.0030125596,"about_ca_topic_score_gemma":0.0039009673,"teacher_disagreement_score":0.0030125596,"about_ca_system_score_codex":0.00031004185,"about_ca_system_score_gemma":0.0005717926,"threshold_uncertainty_score":0.005990088},"labels":[],"label_agreement":null},{"id":"W4400234135","doi":"10.1109/ipemc-ecceasia60879.2024.10567669","title":"Direct Connection of EV Fast Charging Station to Medium Voltage AC Grid","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Electrical engineering; Voltage; Grid; Connection (principal bundle); Computer science; Optoelectronics; Materials science; Engineering; Mechanical engineering","score_opus":0.014500397749635963,"score_gpt":0.2793588509143664,"score_spread":0.26485845316473045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400234135","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.305491,0.0010542127,0.5898326,0.0003352069,0.00064594153,0.00029652406,0.0005661509,0.004780843,0.09699754],"genre_scores_gemma":[0.96960676,0.00020890997,0.016400566,0.00006387487,0.000075915945,0.000049247985,0.00025892054,0.000047518315,0.01328833],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99974376,0.000038683294,0.000016789649,0.00007304869,0.00008507627,0.000042550695],"domain_scores_gemma":[0.99984026,0.000016565302,0.000013944156,0.00004692681,0.00006404856,0.000018274442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000112623486,0.0004069861,0.00042991995,0.00038720825,0.00041304767,0.0009249763,0.0012722319,0.00057076407,0.009721569],"category_scores_gemma":[0.00024317163,0.00019759458,0.0002659071,0.0005391969,0.0001799765,0.0011834843,0.0008359553,0.00053873635,0.002814724],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015046158,0.00041748091,0.011560072,0.0009039148,0.0001656861,0.0026044827,0.00046202767,0.041671664,0.15761513,0.034802333,0.013040278,0.7352523],"study_design_scores_gemma":[0.0006232334,0.0037737333,0.020416502,0.00024397548,0.00031879873,0.006575052,0.0006868109,0.4467705,0.22234547,0.029449724,0.2686546,0.00014160849],"about_ca_topic_score_codex":0.00049446017,"about_ca_topic_score_gemma":0.00091894926,"teacher_disagreement_score":0.009721569,"about_ca_system_score_codex":0.00025270035,"about_ca_system_score_gemma":0.00030507887,"threshold_uncertainty_score":0.032521904},"labels":[],"label_agreement":null},{"id":"W4400277544","doi":"10.1109/icsmartgrid61824.2024.10578205","title":"Design and Optimization of a Scalable Bidirectional DC-DC Converter for Electric Vehicle Charging Applications using SiC Switches","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Scalability; Electric vehicle; Computer science; Electrical engineering; Converters; Charge pump; Electronic engineering; Materials science; Automotive engineering; Engineering; Capacitor; Physics; Voltage; Power (physics)","score_opus":0.028584032134073185,"score_gpt":0.2735229814426094,"score_spread":0.2449389493085362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400277544","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14584994,0.0008937355,0.80152345,0.00027053733,0.00020282806,0.0003110055,0.00020141379,0.0010868739,0.049660247],"genre_scores_gemma":[0.883416,0.000604527,0.10698219,0.00007494178,0.000031966774,0.00013249659,0.00020742234,0.000104635445,0.008445787],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99986255,0.000009965262,0.0000055876226,0.000019861922,0.000085370695,0.00001665017],"domain_scores_gemma":[0.9999343,0.00000635348,0.000009651593,0.000007442464,0.000035379766,0.00000681941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017442304,0.00039330404,0.00029396583,0.0002690558,0.00020638529,0.00061667705,0.00058564846,0.00023216693,0.0018517326],"category_scores_gemma":[0.00015516128,0.00015968854,0.00025208385,0.00028372183,0.00013375349,0.0002994373,0.00019509718,0.00039669374,0.0007109095],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018308742,0.00023689386,0.0013647415,0.0005281446,0.000087875385,0.00028757282,0.00011142271,0.08897137,0.6874402,0.01420999,0.0041490435,0.20242965],"study_design_scores_gemma":[0.000089293,0.0011476666,0.0025205386,0.000078378376,0.000099549434,0.0008506574,0.00012159561,0.58798516,0.34877473,0.0029593348,0.055319037,0.000054067597],"about_ca_topic_score_codex":0.000487459,"about_ca_topic_score_gemma":0.0011422526,"teacher_disagreement_score":0.0018517326,"about_ca_system_score_codex":0.00031178686,"about_ca_system_score_gemma":0.00051198725,"threshold_uncertainty_score":0.006194651},"labels":[],"label_agreement":null},{"id":"W4400291229","doi":"10.1002/ente.202400395","title":"Economic Evaluation of Using Ultracapacitors in Electric Vehicles","year":2024,"lang":"en","type":"article","venue":"Energy Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Supercapacitor; Green vehicle; Automotive engineering; Business; Environmental science; Engineering; Chemistry; Electrochemistry; Fuel efficiency; Electrode","score_opus":0.0203424301587688,"score_gpt":0.29209796808320904,"score_spread":0.27175553792444024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400291229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89727205,0.0028146808,0.06265557,0.0007543986,0.00012332524,0.00021649023,0.0002668692,0.00006327574,0.035833333],"genre_scores_gemma":[0.99721694,0.00026108185,0.0018533537,0.000008712461,0.0000047509393,0.000024249057,0.000022735561,0.0000037006987,0.0006043173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992692,0.00033640445,0.00002325834,0.000052743417,0.00022983152,0.00008862933],"domain_scores_gemma":[0.9987213,0.0008491643,0.00009095064,0.00005036456,0.00024050192,0.000047739173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015726247,0.0006434387,0.00047074902,0.00071108056,0.0003899128,0.0011805446,0.0006877607,0.0005122538,0.0013184558],"category_scores_gemma":[0.00278603,0.00025334762,0.0003646005,0.00057050923,0.0006265046,0.0010973169,0.0005961401,0.0004664731,0.000069359005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000396296,0.0001152491,0.0023904403,0.00020383135,0.000042564167,0.00017019513,0.000019031733,0.9602803,0.0028746545,0.010240693,0.00042897344,0.022837821],"study_design_scores_gemma":[0.00002649961,0.0006134945,0.0018194123,0.00003598685,0.00005619075,0.00004183651,0.00014549274,0.988133,0.0048051686,0.003116592,0.0011842558,0.00002212251],"about_ca_topic_score_codex":0.0046254,"about_ca_topic_score_gemma":0.0043059355,"teacher_disagreement_score":0.0046254,"about_ca_system_score_codex":0.0020612413,"about_ca_system_score_gemma":0.00096311,"threshold_uncertainty_score":0.014955461},"labels":[],"label_agreement":null},{"id":"W4400296491","doi":"10.1155/2024/2387983","title":"Comprehensive Design Analysis of Economical E‐Bike Charger with IoT‐Empowered System for Real‐Time Parameter Monitoring","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Real-time computing; Engineering; Simulation; Automotive engineering","score_opus":0.0219148650354837,"score_gpt":0.2807916703973857,"score_spread":0.258876805361902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400296491","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14589521,0.0011751723,0.81628627,0.0004489775,0.00019888308,0.00064460427,0.0002600225,0.0021035469,0.032987405],"genre_scores_gemma":[0.9615128,0.0003410175,0.02869826,0.000075176475,0.000024875497,0.00021608219,0.00013728629,0.000040237686,0.008954283],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994204,0.00010208713,0.000033685697,0.00010638428,0.00028437344,0.000053092273],"domain_scores_gemma":[0.9997385,0.00004084027,0.00003301755,0.000033668926,0.00014060932,0.000013289214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038000333,0.00061356224,0.00066576665,0.0004855352,0.0005091434,0.0009275021,0.00102949,0.00062550645,0.0046429606],"category_scores_gemma":[0.00046177857,0.0002863,0.0006217687,0.00023804686,0.00023152963,0.0008970957,0.0003789685,0.0002993622,0.0010499617],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012000778,0.0005364194,0.0074844197,0.0020428267,0.00045097954,0.00089778303,0.0004528482,0.36159435,0.30121347,0.017071078,0.008240768,0.29881498],"study_design_scores_gemma":[0.00008205121,0.0019758346,0.0038293132,0.000062873296,0.00027430413,0.000640019,0.00014159827,0.89882183,0.071504734,0.0019341209,0.020669714,0.00006369176],"about_ca_topic_score_codex":0.0013731034,"about_ca_topic_score_gemma":0.0016834851,"teacher_disagreement_score":0.0046429606,"about_ca_system_score_codex":0.00060586695,"about_ca_system_score_gemma":0.00060708047,"threshold_uncertainty_score":0.015532255},"labels":[],"label_agreement":null},{"id":"W4400306130","doi":"10.1002/cjce.25394","title":"Data‐driven battery capacity estimation using support vector regression and model bagging under fast‐charging conditions","year":2024,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada","keywords":"Hyperparameter; Computer science; Support vector machine; Battery (electricity); Machine learning; Data mining; Power (physics)","score_opus":0.04689916048551881,"score_gpt":0.28270482225210725,"score_spread":0.23580566176658843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400306130","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29601553,0.0011760619,0.69734716,0.00041088602,0.00010611462,0.000095709445,0.00069765863,0.0024821542,0.0016686787],"genre_scores_gemma":[0.9517666,0.00020952694,0.04561809,0.00006529622,0.000026492182,0.000087708766,0.0010189655,0.00006118874,0.0011462088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995827,0.0001258201,0.000033503093,0.000113463655,0.0000945599,0.000049909322],"domain_scores_gemma":[0.99823666,0.0010014694,0.00016674578,0.00012944321,0.00042618622,0.00003961232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015614667,0.0011929469,0.0010496536,0.0008659901,0.00031926233,0.0009667888,0.001288307,0.0009640877,0.0006969327],"category_scores_gemma":[0.004031758,0.00043553443,0.00090471614,0.00090022106,0.0003241409,0.001002405,0.00054711907,0.0013734971,0.00034749717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044377313,0.000055429442,0.0012870765,0.000039980187,0.00002661226,0.00003263365,0.000017615332,0.969828,0.0008108963,0.00025364757,0.00045497157,0.027148746],"study_design_scores_gemma":[8.874438e-7,0.0000071230525,0.00014367606,0.000001748805,0.0000015239128,0.0000019697513,0.0000026748257,0.9993962,0.00028422804,0.0001141714,0.000043486263,0.000002349238],"about_ca_topic_score_codex":0.01513404,"about_ca_topic_score_gemma":0.009769293,"teacher_disagreement_score":0.01513404,"about_ca_system_score_codex":0.000614633,"about_ca_system_score_gemma":0.0007666174,"threshold_uncertainty_score":0.030091882},"labels":[],"label_agreement":null},{"id":"W4400405739","doi":"10.2139/ssrn.4888691","title":"Enhancing Efficiency in Air-Cooled Cylindrical Battery Temperature Management Systems for Electric Vehicles: A Cfd Analysis of a Novel Uniform Flow Distribution Plate","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computational fluid dynamics; Mechanics; Flow (mathematics); Airflow; Battery (electricity); Materials science; Mechanical engineering; Environmental science; Automotive engineering; Aerospace engineering; Engineering; Physics; Thermodynamics; Power (physics)","score_opus":0.00782346138488969,"score_gpt":0.25343924090547404,"score_spread":0.24561577952058436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400405739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6619958,0.0010543395,0.29760677,0.00062807865,0.00015209988,0.00014817221,0.00022474038,0.0007848988,0.037405096],"genre_scores_gemma":[0.9874106,0.00019405132,0.007890508,0.000020532028,0.000011909391,0.000020621155,0.000036174795,0.000048732345,0.004366867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999256,0.000015393078,0.0000023845416,0.000015697788,0.000026013564,0.00001493359],"domain_scores_gemma":[0.9998784,0.00005454778,0.000013795693,0.00001081074,0.000034470806,0.000007963862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017027832,0.00034070044,0.00048724716,0.00023828939,0.0004529007,0.0009827866,0.00060544384,0.0006314327,0.0020300644],"category_scores_gemma":[0.00050826115,0.0002695588,0.00042089046,0.00026116692,0.0007223757,0.00062320323,0.00040713508,0.00038991892,0.00028308388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002087634,0.00007371715,0.001047817,0.000112081216,0.00001603256,0.00022576537,0.00011562593,0.9378582,0.039972242,0.00609095,0.0009264399,0.013352381],"study_design_scores_gemma":[0.000013423738,0.000037535523,0.00032705627,0.0000043908194,0.0000052096543,0.000019007352,0.000020964753,0.9928323,0.0059612803,0.00022517513,0.00054816896,0.000005522131],"about_ca_topic_score_codex":0.005755186,"about_ca_topic_score_gemma":0.0033210749,"teacher_disagreement_score":0.005755186,"about_ca_system_score_codex":0.0006956626,"about_ca_system_score_gemma":0.0008793108,"threshold_uncertainty_score":0.011443377},"labels":[],"label_agreement":null},{"id":"W4400406774","doi":"10.1063/5.0212113","title":"Characteristic analysis of lithium-ion battery","year":2024,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Lithium (medication); Ion; Battery (electricity); Lithium-ion battery; Computer science; Materials science; Nuclear engineering; Chemistry; Engineering; Physics; Power (physics); Thermodynamics","score_opus":0.02368025207296741,"score_gpt":0.27309734671931507,"score_spread":0.24941709464634765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400406774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63287336,0.0048886444,0.29093698,0.00066124497,0.00016836767,0.0001171974,0.0008635429,0.0023581139,0.06713254],"genre_scores_gemma":[0.99338454,0.0003331455,0.0013725285,0.000031135885,0.000018810455,0.000012328176,0.00012407514,0.00003186033,0.004691646],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998821,0.000010918912,0.0000059006447,0.000022959524,0.000057000358,0.000021105405],"domain_scores_gemma":[0.9998222,0.000054281776,0.000017648108,0.000022386877,0.00007617598,0.0000073800716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000111310896,0.00022224912,0.0002961719,0.00074984145,0.00028598218,0.0006124825,0.00053544994,0.0004345814,0.003042486],"category_scores_gemma":[0.00042273593,0.000080055936,0.00035625312,0.0006759166,0.00020074446,0.0006272374,0.00020929537,0.00026283078,0.0005548804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014066354,0.00013673473,0.012965016,0.00079966144,0.0001548508,0.0013541194,0.0011229139,0.13837461,0.56170875,0.04734851,0.0076189414,0.22700919],"study_design_scores_gemma":[0.000020598418,0.0003154258,0.0125438105,0.00005054543,0.00006761514,0.0016798878,0.00031359974,0.8770921,0.07926233,0.010600715,0.0179893,0.00006401453],"about_ca_topic_score_codex":0.0013994717,"about_ca_topic_score_gemma":0.0006968852,"teacher_disagreement_score":0.003042486,"about_ca_system_score_codex":0.0005120092,"about_ca_system_score_gemma":0.00023864408,"threshold_uncertainty_score":0.010178149},"labels":[],"label_agreement":null},{"id":"W4400432037","doi":"","title":"Gestion d'énergie des systèmes multi-piles à combustible basée sur les pronostics de durées de vie restantes pour une application au transport automobile","year":2024,"lang":"en","type":"dissertation","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Automotive industry; Fuel cells; Energy (signal processing); Automotive engineering; Engineering; Computer science; Aerospace engineering; Physics; Chemical engineering","score_opus":0.026224830358723895,"score_gpt":0.25292312527852584,"score_spread":0.22669829491980195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400432037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.936166,0.00085801247,0.05351725,0.00028682128,0.00005883369,0.000083811705,0.00029281096,0.0004908742,0.008245707],"genre_scores_gemma":[0.99189186,0.00015753454,0.0055961427,0.000017378507,0.000003696197,0.000029745372,0.00008988897,0.000022861443,0.0021909627],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965,0.000053032298,0.000017144956,0.00008548835,0.00012201867,0.00007232243],"domain_scores_gemma":[0.99919456,0.00034483545,0.00010342268,0.000074374584,0.00023846577,0.000044341094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000762836,0.0006452245,0.00065911,0.00059943675,0.00072190637,0.001844768,0.0005930685,0.000913771,0.0047278465],"category_scores_gemma":[0.0016373666,0.00040675548,0.00086813734,0.00043936458,0.00044605252,0.0015360928,0.0005748823,0.00044263346,0.0007624341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015972164,0.00035902753,0.031116989,0.0008251702,0.00036751886,0.00042569736,0.000505,0.623875,0.22516567,0.0040116603,0.0007315903,0.111019485],"study_design_scores_gemma":[0.00006558655,0.0020251444,0.057174616,0.00010699969,0.00039409767,0.00027023166,0.0012800783,0.7405725,0.1832154,0.0050742906,0.0096688615,0.00015212044],"about_ca_topic_score_codex":0.0063962373,"about_ca_topic_score_gemma":0.010405922,"teacher_disagreement_score":0.0063962373,"about_ca_system_score_codex":0.001127676,"about_ca_system_score_gemma":0.0006512959,"threshold_uncertainty_score":0.015816212},"labels":[],"label_agreement":null},{"id":"W4400457420","doi":"10.3390/en17143360","title":"Powering the Future: Advanced Battery Management Systems (BMS) for Electric Vehicles","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of New Brunswick","funders":"","keywords":"Battery (electricity); Automotive engineering; Battery electric vehicle; Engineering; Computer science; Electrical engineering; Systems engineering; Power (physics); Physics","score_opus":0.00757181072637863,"score_gpt":0.2426587385293435,"score_spread":0.23508692780296486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400457420","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05123937,0.111764126,0.6530004,0.012082677,0.0037591856,0.0003267302,0.00045719344,0.0048498875,0.16252044],"genre_scores_gemma":[0.53870094,0.071893975,0.18932945,0.0027982153,0.0022126106,0.00017831182,0.0011296674,0.00042828254,0.1933285],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998362,0.000021274585,0.0000084443545,0.00002331081,0.00009905303,0.00001172548],"domain_scores_gemma":[0.99991906,0.000009358411,0.000009047218,0.0000073669403,0.000047817033,0.000007341026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028057376,0.00037817995,0.00015540663,0.00037563374,0.00025275338,0.0010341977,0.00062488107,0.0006460367,0.008293653],"category_scores_gemma":[0.00031274222,0.00010848348,0.00012603383,0.0005208443,0.00023604959,0.0020911659,0.0004893281,0.0005243319,0.0030734115],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009843604,0.00004410249,0.00062424474,0.00058899465,0.000019798632,0.00010765445,0.00013291648,0.0016358122,0.057415172,0.045112383,0.022208571,0.872012],"study_design_scores_gemma":[0.000020129473,0.00042518272,0.0010802738,0.00020673331,0.000035204084,0.0005852025,0.0001964163,0.011671253,0.043786738,0.018654432,0.92330873,0.000029619492],"about_ca_topic_score_codex":0.00036597587,"about_ca_topic_score_gemma":0.00070079527,"teacher_disagreement_score":0.008293653,"about_ca_system_score_codex":0.00035754792,"about_ca_system_score_gemma":0.00032733518,"threshold_uncertainty_score":0.027745068},"labels":[],"label_agreement":null},{"id":"W4400487108","doi":"10.2139/ssrn.4891122","title":"A Systematic Literature Review of Optimal Placement of Fast Charging Station","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Systematic review; Systematic error; Computer science; Mathematics; Political science; Statistics; MEDLINE","score_opus":0.007770359044256615,"score_gpt":0.2772305432781874,"score_spread":0.2694601842339308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400487108","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019164623,0.99403584,0.0018290962,0.0003525456,0.00018558053,0.0003250201,0.00042439112,0.000019685333,0.0009113845],"genre_scores_gemma":[0.032751024,0.9583753,0.0069679567,0.00057863706,0.00019154957,0.0003902792,0.0005252914,0.000024457368,0.00019555885],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.98820823,0.0051011904,0.0036669965,0.0010733425,0.0016893578,0.00026098758],"domain_scores_gemma":[0.95170385,0.038885847,0.0044268356,0.00092878146,0.0036580951,0.00039658934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012576229,0.0019616075,0.0059787035,0.012263567,0.0008722171,0.0040182946,0.0032114799,0.0026921993,0.0070257005],"category_scores_gemma":[0.06367632,0.0013520148,0.0062676864,0.012323314,0.0011696612,0.003281545,0.0016394946,0.0016535565,0.00069455995],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063092867,0.00006641909,0.0010899438,0.78269786,0.0053617046,0.00018195664,0.00022372832,0.0018717962,0.00029304804,0.001345571,0.0028393618,0.2033977],"study_design_scores_gemma":[0.00065782067,0.0014369789,0.0052285236,0.85318154,0.06481489,0.0012050591,0.0009227783,0.0015594354,0.0009251331,0.0042647906,0.06566828,0.00013473084],"about_ca_topic_score_codex":0.007758799,"about_ca_topic_score_gemma":0.020478886,"teacher_disagreement_score":0.012576229,"about_ca_system_score_codex":0.003852233,"about_ca_system_score_gemma":0.016860075,"threshold_uncertainty_score":0.0665102},"labels":[],"label_agreement":null},{"id":"W4400488144","doi":"10.1109/tte.2024.3422108","title":"Noise-Adaptive Multimode Online Energy Management for PEMFC/Battery Hybrid UAVs","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Motors (Canada)","funders":"","keywords":"Mode (computer interface); Noise (video); Battery (electricity); Proton exchange membrane fuel cell; Energy management; Computer science; Energy (signal processing); Automotive engineering; Fuel cells; Electrical engineering; Engineering; Physics; Artificial intelligence; Power (physics); Human–computer interaction; Chemical engineering","score_opus":0.018280096744077098,"score_gpt":0.2632393187428361,"score_spread":0.24495922199875902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400488144","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19141778,0.00035998426,0.8039801,0.00011410176,0.000043112483,0.000039585604,0.000042750475,0.0004907037,0.0035118228],"genre_scores_gemma":[0.9862164,0.00003389045,0.012970228,0.000022610338,0.0000061290507,0.000017004208,0.000016430276,0.000008859134,0.00070839084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998447,0.000024479119,0.000007566821,0.00004698084,0.000056733028,0.000019542866],"domain_scores_gemma":[0.99984396,0.000058562593,0.000034744833,0.000014405639,0.00003950182,0.0000087603985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023344102,0.0004454532,0.00034202743,0.00023725178,0.00024789613,0.00037035145,0.00053674204,0.00034901776,0.000476181],"category_scores_gemma":[0.00045937704,0.00015453628,0.00017371698,0.000121858815,0.00020326876,0.00036468913,0.00032304542,0.00022718086,0.00010764212],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003517422,0.00014974276,0.0029601082,0.00011081319,0.00006369805,0.0002602175,0.00015109232,0.7381836,0.059799023,0.0019298695,0.0006270967,0.19541295],"study_design_scores_gemma":[0.0000041502035,0.00004888547,0.00047260593,0.0000028463332,0.0000052848295,0.000021644586,0.000010543609,0.9944507,0.0044057956,0.0003486242,0.00022479254,0.0000042033153],"about_ca_topic_score_codex":0.0025091663,"about_ca_topic_score_gemma":0.0038381272,"teacher_disagreement_score":0.0025091663,"about_ca_system_score_codex":0.00031471718,"about_ca_system_score_gemma":0.00017183759,"threshold_uncertainty_score":0.004989147},"labels":[],"label_agreement":null},{"id":"W4400574101","doi":"10.2139/ssrn.4893342","title":"Optimal Design and Control of Battery-Ultracapacitor Hybrid Energy Storage System for Bev Operating at Extreme Temperatures","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Supercapacitor; Battery (electricity); Energy storage; Control (management); Automotive engineering; Energy (signal processing); Computer science; Environmental science; Engineering; Chemistry; Power (physics); Physics","score_opus":0.013520728930177278,"score_gpt":0.23669074700103962,"score_spread":0.22317001807086234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400574101","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3331766,0.0020161858,0.6265377,0.0013980451,0.00041096236,0.00032525114,0.00035232055,0.00066061865,0.0351223],"genre_scores_gemma":[0.9943452,0.00011565832,0.003323156,0.000036077858,0.000018348155,0.00007246048,0.000028721566,0.000010256461,0.0020502168],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998171,0.000032924207,0.000010077234,0.000048514998,0.000044833705,0.000046604433],"domain_scores_gemma":[0.99981576,0.000053214575,0.000032714714,0.000010661983,0.000072658055,0.000015016003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036630483,0.00060244714,0.00085752073,0.00022665922,0.0008367709,0.0015126292,0.00072053104,0.0008551763,0.002515368],"category_scores_gemma":[0.00043523274,0.00043648665,0.00037583732,0.00028324936,0.00048822415,0.00045949835,0.00062831165,0.0006188505,0.0002706747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039996553,0.000079438905,0.0006082599,0.00019173983,0.00006443627,0.00016310425,0.00010819683,0.954385,0.021143036,0.0031722817,0.0013237734,0.018360808],"study_design_scores_gemma":[0.000026108515,0.00009520934,0.0003726196,0.000006399271,0.000013363161,0.000010445313,0.000031068383,0.99657494,0.001600342,0.00081427593,0.00044809934,0.000007127698],"about_ca_topic_score_codex":0.008274395,"about_ca_topic_score_gemma":0.008500903,"teacher_disagreement_score":0.008274395,"about_ca_system_score_codex":0.00065020955,"about_ca_system_score_gemma":0.0009864626,"threshold_uncertainty_score":0.016452491},"labels":[],"label_agreement":null},{"id":"W4400579123","doi":"10.1109/tte.2024.3427334","title":"PFFN: A Parallel Feature Fusion Network for Remaining Useful Life Early Prediction of Lithium-Ion Battery","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Natural Science Foundation of China","keywords":"Feature (linguistics); Lithium (medication); Fusion; Computer science; Battery (electricity); Artificial intelligence; Pattern recognition (psychology); Psychology; Physics; Psychiatry; Thermodynamics; Philosophy; Power (physics)","score_opus":0.020436338874558427,"score_gpt":0.2511575071846602,"score_spread":0.23072116831010175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400579123","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08524605,0.0014223644,0.9077356,0.0002594113,0.0001698291,0.0000871904,0.0003550843,0.0016961343,0.00302837],"genre_scores_gemma":[0.927177,0.0006893351,0.06826125,0.00016428702,0.00007944371,0.00013978087,0.0006766936,0.000043172284,0.002769083],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997329,0.00003170296,0.000018231505,0.00007572692,0.00009045279,0.000050904982],"domain_scores_gemma":[0.9996977,0.000087769324,0.0000287853,0.000019994788,0.00015398987,0.000011754374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069533713,0.0010114373,0.00088121305,0.00065337075,0.00037778736,0.00048389428,0.0009983268,0.0005931734,0.0011152846],"category_scores_gemma":[0.0013558819,0.00028985005,0.0006965592,0.00055750506,0.00024769414,0.001022337,0.00053824286,0.0007109102,0.00026534867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028683656,0.00015950178,0.0041306154,0.00007786778,0.00010712551,0.00018010689,0.000062879335,0.4726934,0.007173103,0.001274846,0.004348705,0.5095049],"study_design_scores_gemma":[0.0000061503574,0.00003587405,0.00045905542,0.0000053735307,0.000017343289,0.000026939777,0.0000059959675,0.9973145,0.0011891768,0.0006149604,0.0003176642,0.000006858472],"about_ca_topic_score_codex":0.014590549,"about_ca_topic_score_gemma":0.008537131,"teacher_disagreement_score":0.014590549,"about_ca_system_score_codex":0.0006090045,"about_ca_system_score_gemma":0.00067321456,"threshold_uncertainty_score":0.02901125},"labels":[],"label_agreement":null},{"id":"W4400614510","doi":"10.32006/eeep.2024.1.4753","title":"COMPARING THE COSTS OF LONG-DISTANCE COMPRESSED AIR ENERGY TRANSMISSION VERSUS ELECTRICAL ENERGY TRANSMISSION","year":2024,"lang":"en","type":"article","venue":"Ecological Engineering and Environment Protection","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Transmission (telecommunications); Energy (signal processing); Environmental science; Telecommunications; Computer science; Statistics; Mathematics","score_opus":0.013373857788528714,"score_gpt":0.20468317104259345,"score_spread":0.19130931325406475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400614510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94385964,0.0026501568,0.020506497,0.0005314404,0.00013598434,0.00017567397,0.0013863486,0.00008411384,0.030670093],"genre_scores_gemma":[0.9918812,0.0008176825,0.0035990144,0.000012127488,0.000017806628,0.00002633512,0.00053646613,0.000025839992,0.0030834905],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991326,0.00014832696,0.000034079785,0.00007003022,0.00048297955,0.00013208044],"domain_scores_gemma":[0.99572927,0.0026912508,0.00051083113,0.00019140937,0.0007595916,0.0001175944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007111026,0.0004392312,0.0002804518,0.0018364944,0.00046002475,0.001089784,0.00070024683,0.0003749802,0.0054042414],"category_scores_gemma":[0.0035703378,0.00020302237,0.0006269469,0.0019168905,0.00047359988,0.0024017638,0.00054923334,0.0005391704,0.0003184267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025182148,0.0005252002,0.085604176,0.0019555641,0.0004241127,0.0020487746,0.00040615845,0.3908342,0.03667676,0.06304443,0.0057299244,0.41023257],"study_design_scores_gemma":[0.00013383447,0.0046497374,0.39166623,0.0006742726,0.0012496697,0.004216192,0.007072536,0.41762942,0.09495578,0.017184693,0.060207997,0.00035964392],"about_ca_topic_score_codex":0.005494392,"about_ca_topic_score_gemma":0.011082696,"teacher_disagreement_score":0.005494392,"about_ca_system_score_codex":0.002243152,"about_ca_system_score_gemma":0.0010482345,"threshold_uncertainty_score":0.018078983},"labels":[],"label_agreement":null},{"id":"W4400647457","doi":"10.1109/tvt.2024.3427683","title":"Enhancing Energy Management Strategy for Battery Electric Vehicles: Incorporating Cell Balancing and Multi-Agent Twin Delayed Deep Deterministic Policy Gradient Architecture","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université du Québec à Trois-Rivières; Carleton University","funders":"","keywords":"Architecture; Battery (electricity); Energy management; Computer science; Energy (signal processing); Engineering; Automotive engineering; Power (physics)","score_opus":0.009847592377799114,"score_gpt":0.24946179171005792,"score_spread":0.2396141993322588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400647457","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.081827104,0.00048659428,0.9096473,0.00035293898,0.00010918847,0.00006227265,0.000047927446,0.0008866456,0.0065800236],"genre_scores_gemma":[0.9724214,0.00007496102,0.025365535,0.00011518992,0.00001545152,0.00004679158,0.000038464677,0.00002417648,0.0018979522],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998479,0.000031411266,0.000007588757,0.000039286184,0.000040188686,0.000033618],"domain_scores_gemma":[0.9997843,0.00006344744,0.00003474306,0.000018514264,0.00007233517,0.000026646532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043004824,0.0006345559,0.00046582302,0.00021003284,0.00022423992,0.0005780198,0.0009401104,0.0005443528,0.0011536891],"category_scores_gemma":[0.00093765487,0.00024475265,0.000271391,0.00014018465,0.00035655484,0.0005571032,0.00062008126,0.0006533907,0.0002674999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006948973,0.000074198855,0.0011770953,0.00003909748,0.00003369591,0.00006495849,0.00003523476,0.94204324,0.0046777986,0.0023268997,0.00073537446,0.048722927],"study_design_scores_gemma":[0.0000037864343,0.000028063741,0.000082544364,0.0000018969104,0.0000037649017,0.0000060828847,0.0000027704048,0.9988232,0.0004414994,0.00041541335,0.00018856772,0.0000023083403],"about_ca_topic_score_codex":0.005314267,"about_ca_topic_score_gemma":0.0065850317,"teacher_disagreement_score":0.005314267,"about_ca_system_score_codex":0.0004916122,"about_ca_system_score_gemma":0.0008023443,"threshold_uncertainty_score":0.010566652},"labels":[],"label_agreement":null},{"id":"W4400684819","doi":"10.26434/chemrxiv-2024-plzrv","title":"Automatic Generation of Chemical Mechanisms for Electrochemical Systems: Solid Electrolyte Interphase Formation in Lithium Batteries","year":2024,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Basic Energy Sciences; Natural Sciences and Engineering Research Council of Canada","keywords":"Interphase; Electrolyte; Lithium (medication); Electrochemistry; Lithium metal; Materials science; Chemical engineering; Chemistry; Nanotechnology; Electrode; Engineering; Physical chemistry","score_opus":0.021144193789142264,"score_gpt":0.2834253908138595,"score_spread":0.2622811970247172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400684819","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11408755,0.00046684442,0.84752935,0.00026469215,0.000087740314,0.00012925852,0.0009970609,0.032930244,0.0035073254],"genre_scores_gemma":[0.65135586,0.00032471027,0.34087828,0.000091151305,0.00002489266,0.00023224416,0.0012425161,0.0034989603,0.0023513108],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998604,0.00003362932,0.000009864916,0.000027389038,0.00005580132,0.000012825443],"domain_scores_gemma":[0.9995009,0.00027137343,0.000049779464,0.00008792662,0.0000688272,0.000021145217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068009074,0.001052564,0.00045465102,0.00082302606,0.00039692217,0.0006663348,0.0013832321,0.001126009,0.004962862],"category_scores_gemma":[0.0018492285,0.00054367667,0.0006771694,0.00036459195,0.0002818661,0.0010612337,0.00061814196,0.0007690063,0.000964623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025114653,0.00019955912,0.0060926382,0.0006262422,0.00013823161,0.00047426438,0.00029252318,0.747759,0.06639606,0.025050476,0.0059952578,0.14672455],"study_design_scores_gemma":[0.00002726082,0.000018038796,0.0002249494,0.0000076217057,0.0000065079716,0.000061466846,0.000009070753,0.9651778,0.02731208,0.0051317574,0.0020135883,0.000009951752],"about_ca_topic_score_codex":0.0007806735,"about_ca_topic_score_gemma":0.0009588508,"teacher_disagreement_score":0.004962862,"about_ca_system_score_codex":0.0006079557,"about_ca_system_score_gemma":0.0005793925,"threshold_uncertainty_score":0.016602397},"labels":[],"label_agreement":null},{"id":"W4400729190","doi":"10.3390/en17143502","title":"Transformer-Based Deep Learning Models for State of Charge and State of Health Estimation of Li-Ion Batteries: A Survey Study","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"State of charge; Transformer; State of health; Ion; State (computer science); Charge (physics); Electrical engineering; Engineering; Computer science; Materials science; Reliability engineering; Chemistry; Physics; Voltage; Battery (electricity); Algorithm","score_opus":0.03862203093840311,"score_gpt":0.30841730225573116,"score_spread":0.26979527131732806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400729190","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12684768,0.123320654,0.7289958,0.0013635105,0.0003061562,0.00008942478,0.0019362461,0.0012658185,0.01587459],"genre_scores_gemma":[0.81520313,0.08636964,0.08339013,0.00036511593,0.00022967,0.0001249752,0.004222014,0.00013562139,0.009959764],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997898,0.00003720343,0.000029239513,0.000060106915,0.000065243265,0.000018582079],"domain_scores_gemma":[0.99938464,0.00034254667,0.000033248718,0.000039931158,0.0001867949,0.000012870337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076283456,0.00069949677,0.0005052841,0.00075404736,0.000101922546,0.0006964052,0.0007337228,0.0004664944,0.0012720489],"category_scores_gemma":[0.0020756205,0.00029864698,0.0005945873,0.0011891339,0.00017268943,0.001242202,0.00036756712,0.0008158665,0.0006003032],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015632945,0.00012389767,0.0075660427,0.00088338315,0.00015637313,0.00008124075,0.00009876231,0.23837727,0.0024897868,0.007575913,0.0057001575,0.73679084],"study_design_scores_gemma":[0.0000061945825,0.0001224415,0.0027271493,0.00017429369,0.0001019979,0.00012626968,0.00006369901,0.97431856,0.0037027008,0.004573006,0.014060771,0.000022931403],"about_ca_topic_score_codex":0.006143976,"about_ca_topic_score_gemma":0.0054614185,"teacher_disagreement_score":0.006143976,"about_ca_system_score_codex":0.00044871366,"about_ca_system_score_gemma":0.00046460037,"threshold_uncertainty_score":0.012216449},"labels":[],"label_agreement":null},{"id":"W4400810924","doi":"10.1109/csci62032.2023.00067","title":"A Smart Particle Filter Technology for Battery State Estimation and Life Prediction","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Particle filter; Battery (electricity); Computer science; Estimation; State (computer science); Filter (signal processing); Engineering; Algorithm; Systems engineering; Computer vision; Physics","score_opus":0.022633377935472525,"score_gpt":0.27201004504438886,"score_spread":0.24937666710891634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400810924","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027787692,0.00018357209,0.99619293,0.00006266512,0.000050881226,0.000015423795,0.000020227479,0.00023916937,0.00045642708],"genre_scores_gemma":[0.41000664,0.0013411952,0.582125,0.00027795235,0.00019050496,0.00029179422,0.00030838975,0.000072858034,0.0053856755],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968445,0.000055656303,0.00002281707,0.00009046204,0.00012379797,0.000022868351],"domain_scores_gemma":[0.9996125,0.0001683136,0.000045765148,0.000038867354,0.00012106238,0.000013539458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061340845,0.0007078005,0.0007172101,0.00055217405,0.00042270165,0.00049498904,0.0007453418,0.0011440847,0.0012375059],"category_scores_gemma":[0.0015585307,0.0003334485,0.0006885083,0.0005863268,0.0003374805,0.001136668,0.00044392268,0.0010904705,0.00041771476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018965921,0.000121262834,0.0029544986,0.0002527272,0.00013781327,0.00015420126,0.00015414039,0.44005793,0.028623015,0.014275323,0.0041297637,0.5089497],"study_design_scores_gemma":[0.0000093586195,0.000044716853,0.0003854251,0.0000073815363,0.000011126161,0.000039171293,0.0000056580657,0.9936872,0.0028957613,0.0013002703,0.0016034254,0.000010560743],"about_ca_topic_score_codex":0.004792649,"about_ca_topic_score_gemma":0.0033702818,"teacher_disagreement_score":0.004792649,"about_ca_system_score_codex":0.00044973087,"about_ca_system_score_gemma":0.00067276624,"threshold_uncertainty_score":0.009529531},"labels":[],"label_agreement":null},{"id":"W4400879052","doi":"10.2139/ssrn.4901664","title":"Experimental Evaluation of Subterranean Battery Energy Storage System","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Battery (electricity); Energy storage; Environmental science; Computer science; Physics; Thermodynamics","score_opus":0.025182999505553843,"score_gpt":0.29226614481492574,"score_spread":0.2670831453093719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400879052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99349976,0.00015316116,0.0023927237,0.000083187195,0.0000675388,0.00005415097,0.0007246619,0.00033187092,0.0026929374],"genre_scores_gemma":[0.9976184,0.000064084,0.00040904642,0.000015980684,0.0000049618257,0.000019271882,0.00020707452,0.000011290634,0.0016498356],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999818,0.000028572329,0.000019877238,0.000034002947,0.00006297935,0.00003655394],"domain_scores_gemma":[0.9996728,0.000056452205,0.000016007594,0.00004444472,0.0001836902,0.000026722062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022131045,0.000314593,0.00044316438,0.00041379294,0.0005678315,0.00039467795,0.0007394612,0.00048695834,0.0071698115],"category_scores_gemma":[0.0004668779,0.0001142744,0.00021756765,0.00041553832,0.00025659142,0.0007413056,0.00028857208,0.00023427696,0.0008365123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0075283344,0.0011281866,0.0068758987,0.00148316,0.00014544412,0.0008600707,0.00046914778,0.024328323,0.8738687,0.0014154834,0.004981599,0.07691581],"study_design_scores_gemma":[0.00035990524,0.006315766,0.01870315,0.000054336735,0.00016139336,0.0004437896,0.0007206787,0.11226713,0.85204697,0.0006945021,0.008167972,0.000064415246],"about_ca_topic_score_codex":0.0023394658,"about_ca_topic_score_gemma":0.0024176086,"teacher_disagreement_score":0.0071698115,"about_ca_system_score_codex":0.00029680142,"about_ca_system_score_gemma":0.00029815253,"threshold_uncertainty_score":0.023985386},"labels":[],"label_agreement":null},{"id":"W4400905112","doi":"10.1109/tiv.2024.3432075","title":"Intelligent EV Charging Control and Management: From Microscale Battery Cell to Macroscale Grid Synergy","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Vehicles","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Microscale chemistry; Battery (electricity); Control (management); Grid; Grid cell; Computer science; Automotive engineering; Engineering; Physics; Artificial intelligence; Power (physics); Geography","score_opus":0.011896633280409649,"score_gpt":0.24658170142067565,"score_spread":0.234685068140266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400905112","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11259548,0.037226122,0.79285663,0.0017792709,0.00034624833,0.00012340733,0.0002306234,0.0015087484,0.05333349],"genre_scores_gemma":[0.9449919,0.017288785,0.03234259,0.00021449829,0.00017866387,0.00005735147,0.000115523275,0.0001005666,0.004710029],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998976,0.000016018586,0.0000058830256,0.00002387821,0.0000422013,0.000014448281],"domain_scores_gemma":[0.99992716,0.000024392302,0.000008646984,0.000013440041,0.000020325368,0.000005970384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016462345,0.00034668946,0.0005670984,0.00024169392,0.00015396545,0.0012646291,0.00048746247,0.00028576792,0.0015116862],"category_scores_gemma":[0.00028247133,0.00016603403,0.0002357336,0.0003930548,0.00027762834,0.0009972374,0.0005936892,0.0004241285,0.00037413288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014529821,0.00010409686,0.0031520487,0.0008159384,0.00012444702,0.00017697847,0.00018526998,0.38999814,0.024875972,0.040299796,0.005825446,0.5342966],"study_design_scores_gemma":[0.00002349806,0.00023014983,0.0030955444,0.0001463855,0.00007517171,0.00020832877,0.0002725806,0.8778899,0.01301845,0.04430341,0.060695887,0.000040712366],"about_ca_topic_score_codex":0.00089422835,"about_ca_topic_score_gemma":0.0010590365,"teacher_disagreement_score":0.0015116862,"about_ca_system_score_codex":0.00031581757,"about_ca_system_score_gemma":0.00031317963,"threshold_uncertainty_score":0.0050570965},"labels":[],"label_agreement":null},{"id":"W4400934367","doi":"10.1109/itec60657.2024.10599079","title":"Adaptive Battery State-of-Charge Estimation using Aging-driven Equivalent Circuit Parameterization and Electrochemical Impedance Spectroscopy","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Dielectric spectroscopy; Equivalent circuit; Battery (electricity); Electrical impedance; State of charge; Materials science; Electrochemistry; Electrical engineering; Electronic engineering; Voltage; Optoelectronics; Computer science; Engineering; Chemistry; Physics; Electrode; Power (physics); Thermodynamics","score_opus":0.027737275524361237,"score_gpt":0.2946895101126721,"score_spread":0.26695223458831085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400934367","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056679282,0.00035223644,0.9407106,0.00007712934,0.000039560597,0.000029294768,0.000066497196,0.00073486555,0.0013105762],"genre_scores_gemma":[0.90899485,0.00045953394,0.08895231,0.00005723774,0.000030617586,0.00005246758,0.00016358534,0.000037423797,0.0012518713],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998197,0.000022181235,0.000013831465,0.00005637157,0.0000769499,0.00001097924],"domain_scores_gemma":[0.99977714,0.00006040814,0.00004323879,0.000033209984,0.000080749494,0.0000051661173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019442289,0.00038757108,0.00037270767,0.0004273354,0.00012337563,0.0003865499,0.0004938659,0.00043650786,0.00036988058],"category_scores_gemma":[0.0010586199,0.0001549698,0.00027981054,0.0004022384,0.00015939555,0.0009801367,0.0003143825,0.0003404519,0.00020980887],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018090334,0.00016849523,0.008014281,0.00024200087,0.000098028715,0.00020806662,0.00017126769,0.26934892,0.19342323,0.0031604099,0.001323186,0.52366126],"study_design_scores_gemma":[0.00000795468,0.00006454033,0.0032402428,0.000010999602,0.00001887892,0.00013020146,0.000022886234,0.9668217,0.027491469,0.00088291575,0.0012828945,0.000025426565],"about_ca_topic_score_codex":0.0018023701,"about_ca_topic_score_gemma":0.00218391,"teacher_disagreement_score":0.0018023701,"about_ca_system_score_codex":0.0002261638,"about_ca_system_score_gemma":0.00021875623,"threshold_uncertainty_score":0.0035837889},"labels":[],"label_agreement":null},{"id":"W4400934390","doi":"10.1109/itec60657.2024.10598877","title":"A Comparative Study of High Power, High Step-up DC/DC Converters for Fuel Cell Range Extender Vehicles","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Converters; Extender; Range (aeronautics); Power (physics); Fuel cells; Electrical engineering; Materials science; Automotive engineering; Engineering; Physics; Voltage","score_opus":0.03201600575859494,"score_gpt":0.3033352303060297,"score_spread":0.2713192245474348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400934390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7046949,0.009910244,0.112131156,0.00023960386,0.0002192351,0.00030216004,0.00052489695,0.0005966098,0.1713812],"genre_scores_gemma":[0.98571116,0.0015597693,0.005698425,0.000022460858,0.00001557857,0.00002205985,0.00013967235,0.000021043074,0.0068097813],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997205,0.000040038667,0.000010773732,0.000037659578,0.00016760727,0.000023448056],"domain_scores_gemma":[0.99980384,0.00007298498,0.000011004066,0.00001811781,0.00008595058,0.000008158303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002730164,0.00038071474,0.00035908204,0.0006984999,0.0003879106,0.0011633143,0.00048736957,0.00033762725,0.004792842],"category_scores_gemma":[0.00048797805,0.00012125723,0.00049089623,0.0007890414,0.00017230224,0.0009182163,0.00012786716,0.00036028834,0.00078329846],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021211999,0.0009048769,0.007832413,0.002579343,0.00035677993,0.0012153455,0.0004573717,0.25794008,0.17744137,0.035427954,0.0066111134,0.5071122],"study_design_scores_gemma":[0.00019016021,0.0038978495,0.020002026,0.00028340655,0.0003941181,0.002342826,0.00092193566,0.6556463,0.23489764,0.00979915,0.07150363,0.000120872384],"about_ca_topic_score_codex":0.0013748365,"about_ca_topic_score_gemma":0.002323945,"teacher_disagreement_score":0.004792842,"about_ca_system_score_codex":0.00045223025,"about_ca_system_score_gemma":0.00022443863,"threshold_uncertainty_score":0.01603365},"labels":[],"label_agreement":null},{"id":"W4400934434","doi":"10.1109/itec60657.2024.10598937","title":"A Comparison Study of Unidirectional and Bidirectional Recurrent Neural Network for Battery State of Charge Estimation","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"State of charge; Battery (electricity); Computer science; Artificial neural network; Estimation; State (computer science); Charge (physics); Artificial intelligence; Engineering; Physics; Algorithm; Power (physics)","score_opus":0.03986524874331474,"score_gpt":0.3408683196234951,"score_spread":0.30100307088018036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400934434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7126109,0.005064804,0.26696452,0.0003660078,0.00031430888,0.00011233265,0.0005630897,0.0023097047,0.011694398],"genre_scores_gemma":[0.97600603,0.0006921386,0.021116173,0.000046581794,0.000022043212,0.000036641886,0.0005126938,0.000038862316,0.0015288084],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952316,0.00012050812,0.00004715679,0.00010733885,0.00013244193,0.00006935382],"domain_scores_gemma":[0.9989812,0.00032678383,0.00007484448,0.00011045591,0.0004713536,0.000035404235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013973855,0.0009232584,0.0005303058,0.0005148297,0.00020310118,0.00057015504,0.00069778203,0.0004897355,0.00090224715],"category_scores_gemma":[0.0042418875,0.00015739843,0.00036296863,0.00034787174,0.00018531637,0.0010297755,0.00053586427,0.00041902313,0.000295628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002089673,0.0003487834,0.016496643,0.0004970635,0.00026175985,0.00027052374,0.00012339675,0.37718514,0.01712275,0.0022915597,0.0023444218,0.58096826],"study_design_scores_gemma":[0.000014868434,0.00032739955,0.0034156886,0.00001959654,0.000058328416,0.00005632079,0.000048694612,0.98787004,0.007331756,0.00034918706,0.00049109204,0.000017013272],"about_ca_topic_score_codex":0.009790729,"about_ca_topic_score_gemma":0.010563529,"teacher_disagreement_score":0.009790729,"about_ca_system_score_codex":0.00038711485,"about_ca_system_score_gemma":0.0005730347,"threshold_uncertainty_score":0.019467473},"labels":[],"label_agreement":null},{"id":"W4400945522","doi":"10.1109/itec60657.2024.10598898","title":"iTransformer Network Based Approach for Accurate Remaining Useful Life Prediction in Lithium-Ion Batteries","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Lithium (medication); Computer science; Ion; Reliability engineering; Engineering; Chemistry","score_opus":0.033653523550359936,"score_gpt":0.27270114715459837,"score_spread":0.23904762360423842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400945522","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22511907,0.004017766,0.754572,0.0010784679,0.0005136351,0.00007657028,0.0019985624,0.005288247,0.0073357676],"genre_scores_gemma":[0.9173826,0.0012740414,0.07188074,0.00033522968,0.0001476817,0.00007824609,0.002354023,0.00013838844,0.0064090695],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999861,0.00002483191,0.000012158386,0.000040466704,0.000035245565,0.000026257856],"domain_scores_gemma":[0.99966717,0.000120365585,0.00003207018,0.000024757182,0.0001433118,0.00001226023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041604228,0.00095543143,0.00057260034,0.0007191748,0.00023451452,0.0005350561,0.00080141705,0.00065604324,0.002165827],"category_scores_gemma":[0.0013432116,0.00022242017,0.0004616481,0.00083428493,0.0002083685,0.0010486156,0.00046281263,0.00089949137,0.0006895705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003720519,0.0001795584,0.004656132,0.0001277841,0.00009058839,0.00030959726,0.00009314515,0.5625363,0.011762291,0.0011389235,0.0069678123,0.41176584],"study_design_scores_gemma":[0.0000033068425,0.000024352232,0.0005892212,0.00000617981,0.000009601939,0.000023673305,0.000012269666,0.9966807,0.0015690284,0.00066615536,0.00041043654,0.0000050858075],"about_ca_topic_score_codex":0.012977764,"about_ca_topic_score_gemma":0.017612481,"teacher_disagreement_score":0.012977764,"about_ca_system_score_codex":0.0004497892,"about_ca_system_score_gemma":0.0005721503,"threshold_uncertainty_score":0.02580446},"labels":[],"label_agreement":null},{"id":"W4400945626","doi":"10.1109/itec60657.2024.10598980","title":"Design and Control of a Maximum Power Point Tracking System for a Fuel-Cell-Battery Hybrid Electric Vehicle","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); Automotive engineering; Fuel cells; Electric vehicle; Power (physics); Point (geometry); Tracking (education); Computer science; Control (management); Maximum power point tracking; Battery electric vehicle; Electrical engineering; Engineering; Voltage; Artificial intelligence; Physics","score_opus":0.012010318972253459,"score_gpt":0.23397665762880007,"score_spread":0.2219663386565466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400945626","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06467243,0.00031896526,0.9185071,0.0002975128,0.00017961381,0.0003309341,0.0000763894,0.0008438824,0.014773108],"genre_scores_gemma":[0.96431535,0.00012420618,0.030646583,0.000068710564,0.000037606645,0.0002719194,0.000037708494,0.000021054777,0.004476771],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997234,0.00003941834,0.000017741635,0.000094302035,0.00009222204,0.0000329053],"domain_scores_gemma":[0.99970514,0.00006299843,0.00007725777,0.00001747519,0.000116187206,0.000020969168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005294825,0.00067587185,0.000547934,0.0002502321,0.0006928097,0.0011584542,0.00082291826,0.0008003878,0.0023449978],"category_scores_gemma":[0.0005052911,0.0003464499,0.0003502544,0.00019983428,0.00035718322,0.00035212425,0.00040435386,0.0006361527,0.00058173056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065882085,0.00038312897,0.0019988595,0.0005713213,0.00019679122,0.0005661389,0.00047956867,0.65700674,0.15537779,0.009081867,0.0026605816,0.17101838],"study_design_scores_gemma":[0.0000830882,0.0006255429,0.0008115715,0.000019872916,0.000046044563,0.00006836187,0.00002603923,0.9821259,0.012462571,0.00069936755,0.0030135657,0.000018128903],"about_ca_topic_score_codex":0.0030242358,"about_ca_topic_score_gemma":0.0030297083,"teacher_disagreement_score":0.0030242358,"about_ca_system_score_codex":0.00048255504,"about_ca_system_score_gemma":0.0007826348,"threshold_uncertainty_score":0.007844806},"labels":[],"label_agreement":null},{"id":"W4400945739","doi":"10.1109/itec60657.2024.10599015","title":"Experimental Performance Analysis of LG E-66 Cells from a Fast-Charging Porsche Taycan Battery Module","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Computer science; Automotive engineering; Electrical engineering; Engineering; Physics; Power (physics)","score_opus":0.013121853005459354,"score_gpt":0.25544088644279656,"score_spread":0.2423190334373372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400945739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99073607,0.00037325107,0.004017282,0.000060177477,0.00004992672,0.00011562535,0.0018888231,0.00023081919,0.0025279876],"genre_scores_gemma":[0.99120414,0.00041255404,0.0037088972,0.000058815556,0.000011961602,0.00019412754,0.0009595207,0.00006671868,0.003383327],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99962103,0.00002884173,0.000029951498,0.000074215975,0.00018330883,0.000062682346],"domain_scores_gemma":[0.999749,0.000040144267,0.000019024812,0.000036348694,0.00013774144,0.000017704095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003607303,0.00048718817,0.0006067505,0.00044670887,0.00047313623,0.00045527253,0.00072194415,0.0006463887,0.0041551604],"category_scores_gemma":[0.00048527005,0.00018393989,0.00038093768,0.00080193917,0.00020147234,0.0005908211,0.00036638693,0.00049696164,0.0010247993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005114049,0.00019901423,0.0026855767,0.00044846928,0.000046884008,0.0004060959,0.00030579072,0.0036553338,0.9729921,0.00029007535,0.0012745217,0.017184725],"study_design_scores_gemma":[0.000030602405,0.0010399699,0.006764074,0.000015784124,0.000029835797,0.00020466156,0.00015190223,0.005046795,0.9827556,0.00007467145,0.0038590701,0.000027013277],"about_ca_topic_score_codex":0.0013086575,"about_ca_topic_score_gemma":0.0016830204,"teacher_disagreement_score":0.0041551604,"about_ca_system_score_codex":0.0003914178,"about_ca_system_score_gemma":0.0002485344,"threshold_uncertainty_score":0.013900399},"labels":[],"label_agreement":null},{"id":"W4400945893","doi":"10.1109/itec60657.2024.10598850","title":"Data-informed Healthy Cell Clustering Technique for Second-life Applications of Retired Electric Vehicle Batteries","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Cluster analysis; Electric vehicle; Computer science; Artificial intelligence","score_opus":0.03560722756072095,"score_gpt":0.32455527371356485,"score_spread":0.2889480461528439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400945893","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.071804136,0.0010536792,0.92147917,0.00027189334,0.00019878318,0.00010362848,0.0006875485,0.0020168312,0.0023843031],"genre_scores_gemma":[0.7734045,0.00043037464,0.21793202,0.0001757572,0.000111872236,0.0001091194,0.0022480858,0.00019380309,0.005394554],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996594,0.00004797799,0.000019223151,0.00008826186,0.000117139694,0.000067997345],"domain_scores_gemma":[0.99924755,0.00013252415,0.00004709732,0.00014833496,0.00038768604,0.000036774843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050707435,0.0006372917,0.0008165657,0.0009642604,0.000636864,0.0006101589,0.0015844483,0.0006068138,0.0016420112],"category_scores_gemma":[0.0016612388,0.00021452397,0.0005506124,0.0010881118,0.00025337585,0.0007208394,0.0008362134,0.0006471367,0.0009818667],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009825481,0.00021543987,0.008272268,0.00021104694,0.00014470558,0.00029935094,0.00030039734,0.19206142,0.03509161,0.0037399267,0.01238774,0.7462935],"study_design_scores_gemma":[0.000016911032,0.000076390534,0.0023201946,0.000011929882,0.00003324657,0.00014299205,0.00018290635,0.9782547,0.011980317,0.0033227268,0.003636565,0.000021189695],"about_ca_topic_score_codex":0.008981115,"about_ca_topic_score_gemma":0.015868995,"teacher_disagreement_score":0.008981115,"about_ca_system_score_codex":0.00045645426,"about_ca_system_score_gemma":0.0010011065,"threshold_uncertainty_score":0.01785767},"labels":[],"label_agreement":null},{"id":"W4400945913","doi":"10.1109/itec60657.2024.10598964","title":"Quantifying the Cold-Weather State-of-Power Benefits Enabled By Multi-Chemistry EV Battery Pack","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Battery (electricity); Battery pack; Power (physics); Cold weather; State (computer science); Computer science; Environmental science; Meteorology; Physics; Thermodynamics","score_opus":0.029889034794945736,"score_gpt":0.28093820886181975,"score_spread":0.251049174066874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400945913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950087,0.00016502707,0.002927636,0.00001728284,0.0000107941905,0.0000142711515,0.00025742652,0.000074071984,0.0015248375],"genre_scores_gemma":[0.9989869,0.00006609028,0.00039235436,0.0000049206883,0.000001769005,0.0000055742066,0.00013307703,0.0000093209665,0.0004000129],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998858,0.000008514831,0.0000060532266,0.00002495386,0.00004820016,0.000026534688],"domain_scores_gemma":[0.9998417,0.000038034414,0.000021355525,0.000016774393,0.00006954776,0.000012591459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021980476,0.0002927333,0.00037796423,0.0004066446,0.00019738649,0.0004545392,0.00030633478,0.00026317357,0.0012143228],"category_scores_gemma":[0.00036899027,0.00012858513,0.00031381086,0.00036060758,0.0001970217,0.0007736322,0.0003015024,0.00023980711,0.0003072778],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029582372,0.0002891875,0.15917405,0.00090455473,0.00027663473,0.0016016659,0.00043818567,0.22748624,0.4834192,0.001226071,0.0017870243,0.120439015],"study_design_scores_gemma":[0.000049362312,0.0020239106,0.22257733,0.000058160913,0.00027389306,0.0011453562,0.0012031808,0.29860276,0.46463197,0.0011016311,0.008232979,0.00009944935],"about_ca_topic_score_codex":0.002069109,"about_ca_topic_score_gemma":0.0036929387,"teacher_disagreement_score":0.002069109,"about_ca_system_score_codex":0.00030200326,"about_ca_system_score_gemma":0.00015089712,"threshold_uncertainty_score":0.004114151},"labels":[],"label_agreement":null},{"id":"W4400945978","doi":"10.1109/itec60657.2024.10599001","title":"Experimental Results of Battery Power Capability Measurement on Cells with Different State of Health Levels","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); State of health; Power (physics); Electrical engineering; Reliability engineering; Automotive engineering; Computer science; Materials science; Engineering; Physics","score_opus":0.04945956490777782,"score_gpt":0.29546868557249373,"score_spread":0.24600912066471592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400945978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9808053,0.0003247192,0.011095329,0.00022436382,0.00020821902,0.000057115758,0.0019494582,0.0008525772,0.004482863],"genre_scores_gemma":[0.9951556,0.00011081123,0.0026462432,0.00008071951,0.000012634545,0.00004808752,0.00063238706,0.000033551358,0.0012798634],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993855,0.000041715677,0.000052987634,0.00013895323,0.0002603652,0.000120548524],"domain_scores_gemma":[0.99863917,0.000315141,0.00007450876,0.00022553188,0.0006661121,0.0000795069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004478342,0.00048371582,0.00040451717,0.0004958374,0.00043986453,0.00053762086,0.00084738206,0.0007772023,0.005258532],"category_scores_gemma":[0.001718783,0.00013292045,0.0003517968,0.00078710547,0.00042385567,0.00081692176,0.00048133556,0.00058087456,0.0010664567],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019478298,0.0009742462,0.0205468,0.00079503824,0.00012002916,0.0016498164,0.000944478,0.026746262,0.8356827,0.001948235,0.006909906,0.10173463],"study_design_scores_gemma":[0.00007463256,0.0020428952,0.017440451,0.000038670893,0.00006915337,0.00047613028,0.00077864056,0.087091476,0.8847755,0.0011478581,0.005999218,0.00006526413],"about_ca_topic_score_codex":0.0012725948,"about_ca_topic_score_gemma":0.0018720834,"teacher_disagreement_score":0.005258532,"about_ca_system_score_codex":0.0002886571,"about_ca_system_score_gemma":0.00018743785,"threshold_uncertainty_score":0.017591536},"labels":[],"label_agreement":null},{"id":"W4400946045","doi":"10.1109/itec60657.2024.10599043","title":"Optimization of IPOP-Connected Dissimilar Power-Rated Converters for EV Charging Requirement of Diverse Power Levels","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Converters; Power (physics); Electrical engineering; Capacitor; Electronic engineering; Computer science; Engineering; Physics; Voltage","score_opus":0.03377010648872296,"score_gpt":0.2930668473101438,"score_spread":0.25929674082142085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400946045","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17957626,0.000118837575,0.8041568,0.000109198954,0.000016887961,0.000121603065,0.000050691167,0.00014024487,0.015709456],"genre_scores_gemma":[0.9758077,0.00004795081,0.02219087,0.000013210351,0.0000031171955,0.00006102279,0.000022977494,0.000018337012,0.0018347597],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980384,0.000061107676,0.000008799434,0.000033550572,0.000060371392,0.00003225773],"domain_scores_gemma":[0.9998555,0.000057316083,0.00002874647,0.000014534863,0.000033322995,0.000010562757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050809764,0.00059054914,0.00043134214,0.00029765663,0.00027681404,0.0008686628,0.00061919744,0.00036501625,0.0017591353],"category_scores_gemma":[0.0006541621,0.00034095146,0.0003770715,0.0003664898,0.0003091988,0.00052289024,0.00051911804,0.00044057897,0.00026034995],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009332258,0.000058936457,0.00058504863,0.00006665496,0.000023154826,0.00005335821,0.000033449098,0.9633917,0.00970992,0.0037828968,0.00021144416,0.021990048],"study_design_scores_gemma":[0.0000097222,0.00006777944,0.00016769207,0.0000027795556,0.000007935823,0.000012183073,0.000015287324,0.99606067,0.0023936685,0.00094820233,0.00031099608,0.000003075602],"about_ca_topic_score_codex":0.00087164016,"about_ca_topic_score_gemma":0.0012585818,"teacher_disagreement_score":0.0017591353,"about_ca_system_score_codex":0.0005122469,"about_ca_system_score_gemma":0.00037387744,"threshold_uncertainty_score":0.005884886},"labels":[],"label_agreement":null},{"id":"W4400946054","doi":"10.1109/itec60657.2024.10599020","title":"Battery Aging Mechanisms Under Different Fast Charging Protocols: A Comparative Study on State of Health Estimation","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Estimation; Computer science; Battery (electricity); State of health; State (computer science); Engineering; Systems engineering; Algorithm; Power (physics)","score_opus":0.08105265207933858,"score_gpt":0.3901450814446904,"score_spread":0.3090924293653518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400946054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9681377,0.0009809355,0.02873186,0.00008940199,0.000031077918,0.000059100854,0.00026961273,0.00041569976,0.001284588],"genre_scores_gemma":[0.9961824,0.000286754,0.0028906695,0.000014943795,0.000008920403,0.000016579239,0.00029824465,0.000017297814,0.0002841935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99938774,0.0001771216,0.000068413574,0.00012689651,0.00018598758,0.00005390736],"domain_scores_gemma":[0.9942509,0.0034613516,0.00044849707,0.0006728326,0.0011060602,0.00006041735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002191494,0.0004643841,0.0006213386,0.0011522982,0.00017334585,0.0006252272,0.00054139335,0.0004981186,0.00059739716],"category_scores_gemma":[0.009576122,0.00012091696,0.00047087262,0.00077762385,0.00024586546,0.0013182027,0.00038146207,0.0002677515,0.0001758049],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019552056,0.0004876109,0.12117101,0.0006746862,0.00048798675,0.00042292572,0.0006830882,0.445062,0.024367511,0.0016131501,0.001631665,0.4014431],"study_design_scores_gemma":[0.000028994305,0.0023308182,0.10680374,0.00005563539,0.00027572276,0.0004493517,0.00064201804,0.85771334,0.028769484,0.0011476885,0.0016759186,0.000107382686],"about_ca_topic_score_codex":0.0036454222,"about_ca_topic_score_gemma":0.002254316,"teacher_disagreement_score":0.0036454222,"about_ca_system_score_codex":0.000455932,"about_ca_system_score_gemma":0.00028836908,"threshold_uncertainty_score":0.011589885},"labels":[],"label_agreement":null},{"id":"W4400946061","doi":"10.1109/itec60657.2024.10599085","title":"A New Attention-based Method For Estimating Li-ion Battery State-of-Charge","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"State of charge; Battery (electricity); Ion; Charge (physics); State (computer science); Computer science; Materials science; Electrical engineering; Engineering physics; Optoelectronics; Physics; Engineering; Algorithm; Quantum mechanics; Power (physics)","score_opus":0.024992861398836313,"score_gpt":0.3359451670300344,"score_spread":0.3109523056311981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400946061","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032816984,0.0009855778,0.96115035,0.00021558255,0.00022049402,0.00005476343,0.00016342824,0.0012873679,0.003105446],"genre_scores_gemma":[0.77693737,0.0008698687,0.21176396,0.0005082219,0.00025891463,0.000113370595,0.0005963854,0.0001501812,0.008801715],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999795,0.000022845114,0.00001134838,0.00007939824,0.00005836358,0.000033045282],"domain_scores_gemma":[0.99956983,0.0001426144,0.000037910882,0.00003242343,0.00019711218,0.000020180205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044767567,0.00077824795,0.0005404853,0.0008186657,0.000291081,0.00050713046,0.001234468,0.000704317,0.0020702593],"category_scores_gemma":[0.0017107341,0.00022865269,0.0005000276,0.00079169485,0.00025101728,0.0010549804,0.00061268336,0.00083578523,0.000552545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003203375,0.00015052511,0.003910602,0.00011503382,0.00011652675,0.00014547561,0.00013410408,0.13838021,0.030617906,0.0033750546,0.0050274935,0.8177068],"study_design_scores_gemma":[0.0000090389785,0.000060075294,0.001298818,0.000012109329,0.000036687128,0.00007150792,0.000014588805,0.9890076,0.006560341,0.0015641537,0.0013541238,0.000010964506],"about_ca_topic_score_codex":0.01469148,"about_ca_topic_score_gemma":0.017664617,"teacher_disagreement_score":0.01469148,"about_ca_system_score_codex":0.00059921335,"about_ca_system_score_gemma":0.00077111315,"threshold_uncertainty_score":0.029211938},"labels":[],"label_agreement":null},{"id":"W4400946087","doi":"10.1109/itec60657.2024.10598935","title":"Prevention of Accelerated Battery Capacity Degradation using Voltage-sag Analysis under Sub-zero Fast Discharging Conditions","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Degradation (telecommunications); Voltage sag; Battery (electricity); Voltage; Zero (linguistics); Reliability engineering; Electrical engineering; Environmental science; Materials science; Automotive engineering; Computer science; Electronic engineering; Engineering; Power (physics); Physics; Thermodynamics; Power quality","score_opus":0.06234616849978532,"score_gpt":0.32058688898860754,"score_spread":0.25824072048882224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400946087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905974,0.0010025413,0.006864475,0.00005682221,0.000023871753,0.000033360437,0.00038120314,0.00024518123,0.00079511484],"genre_scores_gemma":[0.9974349,0.00042407977,0.0014666509,0.00002097503,0.000004359346,0.00002262903,0.00021086594,0.000014669543,0.000400874],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998148,0.000011026278,0.000018582472,0.00003182716,0.00009239774,0.000031454565],"domain_scores_gemma":[0.9997309,0.00002906609,0.00004310126,0.000019087036,0.00016282867,0.000015043379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022367173,0.00024508842,0.00033871003,0.0006306142,0.00017928524,0.00039760466,0.00030190652,0.0003022089,0.0006552097],"category_scores_gemma":[0.00043117092,0.00010240272,0.00020009968,0.0004783267,0.0001827304,0.00050555705,0.00022649871,0.00030776302,0.00017986518],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025904155,0.000056726585,0.006920989,0.00019346346,0.000015471667,0.0002268425,0.00013849832,0.0011635328,0.96750623,0.00007595867,0.00014517587,0.02329803],"study_design_scores_gemma":[0.000007875154,0.00041120197,0.026938561,0.000014754681,0.000033926102,0.0002543461,0.00020952088,0.008661633,0.9623391,0.00011886746,0.0009863023,0.000023858025],"about_ca_topic_score_codex":0.0011829664,"about_ca_topic_score_gemma":0.0014283907,"teacher_disagreement_score":0.0011829664,"about_ca_system_score_codex":0.00022020665,"about_ca_system_score_gemma":0.00017943967,"threshold_uncertainty_score":0.002352178},"labels":[],"label_agreement":null},{"id":"W4400946092","doi":"10.1109/itec60657.2024.10599052","title":"Bidirectional Multilevel Universal Charger with Decentralized Control Structure for Powering Light Electric Mobility Applications","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Control (management); Electric light; Computer science; Electrical engineering; Engineering; Artificial intelligence","score_opus":0.006660213998830419,"score_gpt":0.24774743728843562,"score_spread":0.2410872232896052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400946092","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10128668,0.0010941077,0.86919284,0.000325935,0.00018466028,0.0001902631,0.00028609528,0.004018597,0.02342077],"genre_scores_gemma":[0.9774055,0.00014245338,0.019317605,0.00005570649,0.000034996472,0.000049826656,0.00008081258,0.000037862228,0.0028754345],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997712,0.000034414097,0.000017867937,0.000050883147,0.00009905027,0.000026559468],"domain_scores_gemma":[0.99982965,0.000024803607,0.000034278433,0.000031687043,0.00006977106,0.000009748571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018733315,0.00030327396,0.00040102814,0.0003607035,0.00033813252,0.00065569417,0.0008809962,0.00030172928,0.005132426],"category_scores_gemma":[0.00024127604,0.00012436866,0.0002874032,0.00033090173,0.00016313148,0.0005994716,0.00031093613,0.00046418558,0.00076095987],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086299423,0.00037236224,0.0023623772,0.0009763337,0.00017720922,0.00049973145,0.00037396367,0.10903196,0.29156798,0.027830068,0.011497088,0.55444795],"study_design_scores_gemma":[0.00015184522,0.0009723392,0.0025145677,0.00008250518,0.00010553832,0.00059289066,0.00010637073,0.89608526,0.06732134,0.007955408,0.024048036,0.000063912186],"about_ca_topic_score_codex":0.0013961663,"about_ca_topic_score_gemma":0.0025502369,"teacher_disagreement_score":0.005132426,"about_ca_system_score_codex":0.00034460257,"about_ca_system_score_gemma":0.0003025563,"threshold_uncertainty_score":0.017169714},"labels":[],"label_agreement":null},{"id":"W4400946132","doi":"10.1109/itec60657.2024.10598934","title":"A Bidirectional Synchronous Buck/Boost Converter Design for Hybrid Energy Storage System Topologies Optimized for EMC and Power Integrity","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Network topology; Power (physics); Energy storage; Computer science; Electronic engineering; Buck converter; Electrical engineering; Topology (electrical circuits); Engineering; Physics; Voltage; Computer network","score_opus":0.023066453638747604,"score_gpt":0.2671276951720662,"score_spread":0.2440612415333186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400946132","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11771632,0.00054974115,0.82900745,0.00020267464,0.00013964885,0.00026872853,0.00041989956,0.0021648037,0.049530704],"genre_scores_gemma":[0.90664446,0.00022975287,0.083090715,0.000056539844,0.000028926652,0.00015185302,0.00019897813,0.0001291192,0.009469523],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989915,0.00001213413,0.0000061172364,0.000021354226,0.00004903775,0.000012313619],"domain_scores_gemma":[0.9999218,0.000006778896,0.000011967923,0.00001080112,0.000043111748,0.000005491451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000115700685,0.0002691913,0.0002026095,0.0002006197,0.00019576632,0.0005115004,0.00048673208,0.00019175537,0.0031986055],"category_scores_gemma":[0.000102119244,0.00013396589,0.00016837157,0.00025502368,0.00010469552,0.00028574697,0.00011565116,0.00027297865,0.0010074333],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002285466,0.000100216275,0.0007530406,0.00056081056,0.000058375976,0.0002148873,0.00015529974,0.029591156,0.8166836,0.015830915,0.004848956,0.13097419],"study_design_scores_gemma":[0.000107345026,0.0010428679,0.002956664,0.000065063236,0.000099644436,0.0013043846,0.00012642282,0.32535312,0.6078064,0.005512695,0.05557331,0.000052013715],"about_ca_topic_score_codex":0.00041060676,"about_ca_topic_score_gemma":0.0009036771,"teacher_disagreement_score":0.0031986055,"about_ca_system_score_codex":0.00028761648,"about_ca_system_score_gemma":0.00030581126,"threshold_uncertainty_score":0.010700345},"labels":[],"label_agreement":null},{"id":"W4400946142","doi":"10.1109/itec60657.2024.10598843","title":"Single- versus Dual-Motor Battery Electric Vehicles Energy Consumption Comparison Across Payloads and Cycles","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Energy consumption; Dual (grammatical number); Battery (electricity); Automotive engineering; Battery electric vehicle; Electric motor; Computer science; Environmental science; Electrical engineering; Engineering; Physics; Power (physics)","score_opus":0.03884296853759203,"score_gpt":0.31266355637539484,"score_spread":0.27382058783780283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400946142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924233,0.0002159874,0.0024625545,0.000023403289,0.000010238571,0.000015888994,0.00058391364,0.000074851254,0.0041898647],"genre_scores_gemma":[0.99744034,0.000106550135,0.00055418944,0.000006335307,0.0000016953958,0.000013600139,0.00056769454,0.000013557508,0.0012960709],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9998492,0.000014977588,0.000008456215,0.000032601503,0.000054087497,0.000040638322],"domain_scores_gemma":[0.99983466,0.000055753604,0.000014336732,0.000021447137,0.000061937666,0.000011834975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015737818,0.00031417966,0.0003380463,0.0007539726,0.00015100233,0.0003915374,0.00041921026,0.00022577039,0.0019314518],"category_scores_gemma":[0.00045865335,0.000091066446,0.00023862634,0.0007679569,0.00011182879,0.0005502415,0.0002604376,0.0001531442,0.00042768687],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0054328633,0.0005700209,0.07301208,0.0012510538,0.00028156536,0.00075417256,0.00037629902,0.44773346,0.10216937,0.005195983,0.005794361,0.3574288],"study_design_scores_gemma":[0.000112435024,0.003142947,0.18672067,0.0001624617,0.0003047735,0.0011226622,0.0016108808,0.6245004,0.15979663,0.004734687,0.017659388,0.00013208824],"about_ca_topic_score_codex":0.0014738342,"about_ca_topic_score_gemma":0.0024515383,"teacher_disagreement_score":0.0019314518,"about_ca_system_score_codex":0.0002790071,"about_ca_system_score_gemma":0.00015969525,"threshold_uncertainty_score":0.006461382},"labels":[],"label_agreement":null},{"id":"W4401070202","doi":"10.1109/tte.2024.3434553","title":"Deep Learning-Powered Lifetime Prediction for Lithium-Ion Batteries Based on Small Amounts of Charging Cycles","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Lithium (medication); Ion; Environmental science; Computer science; Materials science; Engineering physics; Engineering; Chemistry; Psychology","score_opus":0.013719567349648428,"score_gpt":0.24857035733786512,"score_spread":0.23485078998821668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401070202","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3434001,0.0015909986,0.64748937,0.00042048615,0.000106841224,0.00005546366,0.0004567251,0.0018267226,0.004653279],"genre_scores_gemma":[0.9844029,0.00025428244,0.012609821,0.00007352992,0.000013555618,0.00003332795,0.00034260395,0.000026183143,0.00224375],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992967,0.0000069357243,0.0000041133862,0.000022866305,0.00002008797,0.00001617334],"domain_scores_gemma":[0.99987483,0.00003583078,0.000016109694,0.000011529353,0.000050445433,0.000011260943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021240542,0.00060190127,0.0003699596,0.00033907156,0.00015656871,0.00041380478,0.0008288393,0.00040827913,0.0008257161],"category_scores_gemma":[0.0007779036,0.00024150596,0.00033686592,0.00026667587,0.00018372045,0.00081077236,0.00043850456,0.00064983906,0.00019446923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016360014,0.00012679759,0.0059280754,0.000067969995,0.000043857282,0.0001001996,0.000045057623,0.84067947,0.0059213745,0.0016927334,0.0019985011,0.14323232],"study_design_scores_gemma":[0.0000014005107,0.000010630089,0.00020892838,0.0000017953815,0.0000033203794,0.0000068715403,0.0000026676055,0.9982948,0.00090229436,0.00045500917,0.000110725305,0.0000017002108],"about_ca_topic_score_codex":0.0070422264,"about_ca_topic_score_gemma":0.00912309,"teacher_disagreement_score":0.0070422264,"about_ca_system_score_codex":0.00057064625,"about_ca_system_score_gemma":0.0006604833,"threshold_uncertainty_score":0.014002502},"labels":[],"label_agreement":null},{"id":"W4401070335","doi":"10.1109/access.2024.3435463","title":"An Overview of 800 V Passenger Electric Vehicle Onboard Chargers: Challenges, Topologies, and Control","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Network topology; Battery (electricity); Computer science; Electric vehicle; Battery charger; Electrical engineering; Automotive engineering; Power (physics); Engineering; Computer network","score_opus":0.0860908943350809,"score_gpt":0.366602545616726,"score_spread":0.2805116512816451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401070335","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016010603,0.82480836,0.06812886,0.0012104827,0.001036765,0.00016394825,0.00032183863,0.0005867389,0.08773244],"genre_scores_gemma":[0.102076285,0.82985604,0.033454917,0.0007190789,0.0010212567,0.00013509978,0.0007900938,0.000121778314,0.031825397],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99976736,0.000022776956,0.000021783891,0.000039625116,0.00012726776,0.000021165948],"domain_scores_gemma":[0.99982363,0.000054975688,0.000022136204,0.000008462323,0.00007926115,0.00001147961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000299316,0.00077765866,0.00044730777,0.0015119317,0.00029643517,0.0012415567,0.00071628357,0.0007310354,0.0035269193],"category_scores_gemma":[0.00036791156,0.0003355796,0.00038818063,0.001601125,0.00018238486,0.0017707943,0.00042440006,0.0007226618,0.0017210344],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010965333,0.00011544747,0.000991468,0.0072160694,0.000050072278,0.00033803287,0.00022780211,0.009934187,0.024443796,0.035013095,0.025560692,0.89599967],"study_design_scores_gemma":[0.000005998405,0.00050912035,0.0009976551,0.0012275084,0.00009294114,0.0014591585,0.00024011785,0.011671482,0.01126799,0.0080984,0.9643729,0.00005679829],"about_ca_topic_score_codex":0.0010109181,"about_ca_topic_score_gemma":0.0014527604,"teacher_disagreement_score":0.0035269193,"about_ca_system_score_codex":0.00044889908,"about_ca_system_score_gemma":0.00039326766,"threshold_uncertainty_score":0.011798739},"labels":[],"label_agreement":null},{"id":"W4401206164","doi":"10.2316/j.2024.203-0396","title":"OPTIMAL DESIGN AND CONTROL OF AC-DC-DC WIND ENERGY SYSTEM FOR ELECTRIC VEHICLE BATTERIES RECHARGING STATIONS, 1-9.","year":2024,"lang":"en","type":"article","venue":"International Journal of Power and Energy Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electrical engineering; Automotive engineering; Electric vehicle; Wind power; Environmental science; Computer science; Engineering; Power (physics); Physics","score_opus":0.011074915834371157,"score_gpt":0.2540514673972033,"score_spread":0.24297655156283215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401206164","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019458614,0.0013204251,0.96248543,0.00037869616,0.00020876783,0.00024211327,0.00012478407,0.0003604645,0.015420678],"genre_scores_gemma":[0.94257283,0.00072480866,0.051216837,0.00008054075,0.000096399795,0.00025615917,0.000110192224,0.000036002122,0.004906104],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996184,0.00007567855,0.00002074504,0.00009104553,0.0001330209,0.000061098726],"domain_scores_gemma":[0.99972767,0.00006886015,0.000065338645,0.000015021053,0.0001039922,0.0000190578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006673841,0.0010791621,0.0006146878,0.00038003034,0.00067037414,0.0013202318,0.0007277216,0.0007837404,0.003103868],"category_scores_gemma":[0.00087320537,0.0006353217,0.00038705952,0.00029282793,0.0005492302,0.000602338,0.00044666414,0.0008211527,0.00053732167],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012461751,0.00008419684,0.0003612126,0.00023307429,0.000043438224,0.00009882785,0.00006323763,0.9334579,0.010489129,0.010678707,0.0018147847,0.042550888],"study_design_scores_gemma":[0.00002668933,0.00012645421,0.00028897304,0.000014703684,0.000015424592,0.000015228032,0.000015292402,0.994162,0.0016411464,0.001980216,0.0017063024,0.000007633862],"about_ca_topic_score_codex":0.0058450736,"about_ca_topic_score_gemma":0.009607696,"teacher_disagreement_score":0.0058450736,"about_ca_system_score_codex":0.0007585681,"about_ca_system_score_gemma":0.001452154,"threshold_uncertainty_score":0.011622071},"labels":[],"label_agreement":null},{"id":"W4401211296","doi":"10.1016/j.ijhydene.2024.07.448","title":"Remaining useful life prognostic-based energy management strategy for multi-fuel cell stack systems in automotive applications","year":2024,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Université de Franche-Comté; Agence Nationale de la Recherche; Université du Québec à Trois-Rivières","keywords":"Proton exchange membrane fuel cell; Stack (abstract data type); Automotive industry; Computer science; Automotive engineering; Fuel efficiency; Battery (electricity); Process engineering; Fuel cells; Power (physics); Engineering; Operating system","score_opus":0.032968346194387335,"score_gpt":0.30300524619438407,"score_spread":0.27003689999999675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401211296","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20172176,0.0010787846,0.78953165,0.00041122275,0.00006460354,0.00011345251,0.00011242199,0.0025834923,0.0043827323],"genre_scores_gemma":[0.9788086,0.00009500815,0.020245548,0.000030949355,0.000010030599,0.000024706695,0.00005416567,0.0000118448415,0.0007190987],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980277,0.000046852292,0.000019154513,0.000037648635,0.000069498376,0.00002407939],"domain_scores_gemma":[0.9996101,0.00012941193,0.0000945827,0.000037819096,0.00010573482,0.000022306504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053300016,0.0005611446,0.00038643403,0.00041027358,0.0002726278,0.00059010775,0.0007453063,0.00055156107,0.00091307826],"category_scores_gemma":[0.0012586232,0.0001333503,0.00014576176,0.00017789044,0.00020853545,0.0006799343,0.000264382,0.00032706783,0.00026228483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023572239,0.00020576606,0.004005911,0.00014826034,0.000034994093,0.00021109554,0.0001393699,0.61243784,0.01769596,0.0023358092,0.0015931419,0.3609561],"study_design_scores_gemma":[0.000019268558,0.00012567484,0.0009050625,0.00001186547,0.000019184288,0.00005867118,0.000022111746,0.9882996,0.008598237,0.0012213811,0.0007100117,0.000008846584],"about_ca_topic_score_codex":0.0016693393,"about_ca_topic_score_gemma":0.0019411212,"teacher_disagreement_score":0.0016693393,"about_ca_system_score_codex":0.00045496013,"about_ca_system_score_gemma":0.0004057921,"threshold_uncertainty_score":0.0033192635},"labels":[],"label_agreement":null},{"id":"W4401232605","doi":"10.1002/batt.202400355","title":"The Significance of Enhancing the Reliability of Lithium‐Ion Batteries in Reducing Electric Vehicle Field Safety Accidents","year":2024,"lang":"en","type":"article","venue":"Batteries & Supercaps","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Tsinghua National Laboratory for Information Science and Technology; Canada Excellence Research Chairs, Government of Canada; National Natural Science Foundation of China","keywords":"Reliability (semiconductor); Lithium (medication); Reliability engineering; Automotive engineering; Field (mathematics); Forensic engineering; Engineering; Medicine; Physics; Power (physics); Mathematics","score_opus":0.008982075927802546,"score_gpt":0.2539361722550429,"score_spread":0.24495409632724036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401232605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.918428,0.008723616,0.02991149,0.0033303485,0.0002594977,0.00022529966,0.00014499197,0.0005693247,0.038407393],"genre_scores_gemma":[0.9948531,0.00090612064,0.0031151779,0.00007747168,0.000032557295,0.000016279075,0.000020144676,0.000013515921,0.00096564234],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994481,0.00019932773,0.000026504917,0.00004326324,0.00022898806,0.000053857173],"domain_scores_gemma":[0.996181,0.0014681264,0.0006473561,0.00022509908,0.0013087927,0.00016971839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013084755,0.0003446381,0.00022041146,0.0006846902,0.00036582115,0.0009496707,0.0007040449,0.00058106316,0.002792257],"category_scores_gemma":[0.006676605,0.00013253672,0.00021128054,0.00026449747,0.0004683468,0.00092441286,0.0006135406,0.0003675547,0.00062107726],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001962803,0.0012192824,0.105362535,0.0023769767,0.00020578346,0.0007756371,0.001405497,0.027112115,0.08876591,0.01243556,0.0058143507,0.7525636],"study_design_scores_gemma":[0.0003468969,0.01932197,0.36898643,0.0024853332,0.0011892914,0.0030912291,0.008706829,0.092220165,0.3736532,0.0396244,0.090126075,0.0002481805],"about_ca_topic_score_codex":0.0012489859,"about_ca_topic_score_gemma":0.0020027594,"teacher_disagreement_score":0.002792257,"about_ca_system_score_codex":0.00040226526,"about_ca_system_score_gemma":0.000978427,"threshold_uncertainty_score":0.009341061},"labels":[],"label_agreement":null},{"id":"W4401304365","doi":"10.2316/j.2024.201-0469","title":"OPTIMISATION ANALYSIS OF ELECTRIC VEHICLE CHARGING AND DISCHARGING BASED ON BIDIRECTIONAL POWER CONVERTER BIPOLAR STRUCTURE","year":2024,"lang":"en","type":"article","venue":"Mechatronic systems and control","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electric vehicle; Automotive engineering; Electrical engineering; Power (physics); Computer science; Engineering; Physics","score_opus":0.00447349923464409,"score_gpt":0.2123275187278289,"score_spread":0.2078540194931848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401304365","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29622805,0.002888526,0.5479722,0.00093208125,0.00019241199,0.0002533993,0.00028606702,0.0004098018,0.15083757],"genre_scores_gemma":[0.979758,0.00045353733,0.008018402,0.000036676083,0.000021688535,0.000066143366,0.00006481624,0.000051784744,0.01152889],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999899,0.000026224194,0.0000026412577,0.000009684233,0.000039765604,0.000022649117],"domain_scores_gemma":[0.9998822,0.0000635697,0.000012351152,0.000005478465,0.000029650044,0.0000066656285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028952444,0.00046641575,0.0006761975,0.0003016755,0.0002926281,0.00088099774,0.0004981048,0.0006455683,0.0049643833],"category_scores_gemma":[0.0004534255,0.0003327524,0.0005478196,0.0003684623,0.00031500863,0.00037478382,0.00026073973,0.00043471297,0.00038855456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010004239,0.000036433958,0.0002899937,0.00014104795,0.000036880556,0.00008796194,0.000027408241,0.975576,0.0048820004,0.0069279666,0.00073998026,0.011154289],"study_design_scores_gemma":[0.0000113918695,0.00003589727,0.00022998026,0.0000059199465,0.000011650637,0.000012641762,0.000011111741,0.9977982,0.00049071765,0.0010333456,0.00035601188,0.000003169689],"about_ca_topic_score_codex":0.0048034275,"about_ca_topic_score_gemma":0.004563596,"teacher_disagreement_score":0.0049643833,"about_ca_system_score_codex":0.00071958784,"about_ca_system_score_gemma":0.0006629551,"threshold_uncertainty_score":0.016607523},"labels":[],"label_agreement":null},{"id":"W4401360980","doi":"10.1109/compel57542.2024.10614069","title":"Design Procedure for Partial-Power Processing Configurations Considering Gain, Power Rating, and Operating Region of the Converter","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Power (physics); Computer science; Electronic engineering; Electrical engineering; Engineering; Physics","score_opus":0.03356116605754258,"score_gpt":0.28513812704048186,"score_spread":0.2515769609829393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401360980","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01993355,0.00010743763,0.966967,0.000050421942,0.000016981214,0.00021621499,0.00006439914,0.00040423757,0.012239669],"genre_scores_gemma":[0.68071216,0.00026520595,0.3142003,0.000059874325,0.000020277383,0.00044663117,0.00013833414,0.00018486702,0.0039723385],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.999635,0.00006462553,0.000019696558,0.00007646272,0.00016521713,0.000039083367],"domain_scores_gemma":[0.99976224,0.000063681175,0.00003324203,0.00003585156,0.00009823304,0.000006798718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047423545,0.0007929319,0.0005204771,0.0005380082,0.00040360136,0.0009364929,0.00068850303,0.000352741,0.00347956],"category_scores_gemma":[0.00079129095,0.00041826148,0.00046666097,0.00039507923,0.0004062293,0.00049270387,0.0004391079,0.0005781118,0.0007711969],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014566524,0.00006368293,0.0011629832,0.0005281029,0.00006788381,0.00053580984,0.0002807032,0.6399539,0.16311653,0.029010305,0.0022415004,0.16289291],"study_design_scores_gemma":[0.00004518686,0.00035453486,0.0010252196,0.00007445863,0.000089601745,0.0006287761,0.00014798874,0.8917433,0.0798474,0.014112118,0.011886751,0.00004469817],"about_ca_topic_score_codex":0.000973894,"about_ca_topic_score_gemma":0.0018246858,"teacher_disagreement_score":0.00347956,"about_ca_system_score_codex":0.00055796065,"about_ca_system_score_gemma":0.0008288358,"threshold_uncertainty_score":0.01164031},"labels":[],"label_agreement":null},{"id":"W4401454849","doi":"10.1016/j.est.2024.113235","title":"A proposed controller for real-time management of electrical vehicle battery fleet with MATLAB/SIMULINK","year":2024,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MATLAB; Automotive engineering; Battery (electricity); Fleet management; Controller (irrigation); Computer science; Control engineering; Engineering; Operating system; Power (physics); Telecommunications","score_opus":0.008013966034305655,"score_gpt":0.244087381808413,"score_spread":0.23607341577410734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401454849","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026852634,0.0004199518,0.95098984,0.00015294563,0.00027778093,0.00021421646,0.0001266597,0.0048633195,0.016102752],"genre_scores_gemma":[0.91992587,0.00020903363,0.06900006,0.00010633736,0.000049384354,0.00028549097,0.00012212584,0.00008977848,0.010211965],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998356,0.000025043342,0.000014995879,0.000044911823,0.00006261854,0.000016772308],"domain_scores_gemma":[0.99987674,0.00002385743,0.000015069324,0.00001635504,0.00006086668,0.000007139389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021161401,0.0005156027,0.0004567572,0.0002516403,0.0003956536,0.0007001638,0.00094319857,0.000568117,0.0048467754],"category_scores_gemma":[0.00034130446,0.00019527378,0.00030212337,0.00012973804,0.00019221101,0.0003633392,0.00034985525,0.0004943037,0.00089776306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005657363,0.00019059189,0.001052583,0.0007986489,0.00018128293,0.0005308102,0.00021034182,0.6384219,0.074520454,0.008377651,0.0064217905,0.26872823],"study_design_scores_gemma":[0.00007204116,0.00018578889,0.00040368558,0.000027738872,0.000036336536,0.00014125799,0.000018958654,0.98093516,0.01163153,0.000645524,0.0058858655,0.00001614261],"about_ca_topic_score_codex":0.004283111,"about_ca_topic_score_gemma":0.004298043,"teacher_disagreement_score":0.0048467754,"about_ca_system_score_codex":0.00024332516,"about_ca_system_score_gemma":0.00048728636,"threshold_uncertainty_score":0.016214073},"labels":[],"label_agreement":null},{"id":"W4401551818","doi":"10.9734/cjast/2024/v43i84421","title":"Optimizing Formation Processes in Lithium-Ion Battery Manufacturing: Enhancing Efficiency and Quality for Electric Vehicle Applications","year":2024,"lang":"en","type":"article","venue":"Current Journal of Applied Science and Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Lithium (medication); Lithium-ion battery; Automotive engineering; Quality (philosophy); Electric vehicle; Battery (electricity); Process engineering; Ion; Materials science; Chemistry; Engineering; Power (physics); Organic chemistry; Physics","score_opus":0.023845907348529663,"score_gpt":0.3135339850778957,"score_spread":0.28968807772936606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401551818","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22788508,0.60615736,0.13612606,0.002522864,0.0009054299,0.00050111045,0.000633132,0.00055436936,0.02471464],"genre_scores_gemma":[0.5508673,0.3491149,0.087461434,0.00067345233,0.0002873887,0.00023969417,0.00069518393,0.00017153057,0.010489144],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995363,0.00007177505,0.00005753861,0.0000786317,0.00021079232,0.000045046992],"domain_scores_gemma":[0.9995962,0.000073827716,0.00012229274,0.000017297505,0.00018117942,0.000009281974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006789517,0.0007039993,0.0006637894,0.00056689326,0.0002896517,0.001240305,0.0007568222,0.0007637714,0.001693716],"category_scores_gemma":[0.0009285486,0.00027454548,0.0007304985,0.0007885529,0.00020636599,0.0016684311,0.00043286686,0.00059568236,0.00091978366],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004889396,0.0004785685,0.0048552454,0.029440489,0.00021279955,0.00057449914,0.00030715374,0.02433361,0.5819077,0.008325249,0.0043565496,0.34471923],"study_design_scores_gemma":[0.000052661682,0.0022070284,0.0074208486,0.0018099177,0.0006589758,0.0013214095,0.0004773632,0.022644227,0.79289156,0.0048946785,0.16551979,0.00010156653],"about_ca_topic_score_codex":0.00082790124,"about_ca_topic_score_gemma":0.0011924362,"teacher_disagreement_score":0.001693716,"about_ca_system_score_codex":0.0006281569,"about_ca_system_score_gemma":0.0008706719,"threshold_uncertainty_score":0.005666077},"labels":[],"label_agreement":null},{"id":"W4401608436","doi":"10.1109/times-icon61890.2024.10630725","title":"Overnight Charging Mechanism of Battery Electric Buses for a Transit Network in Smart Cities","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Mechanism (biology); Battery (electricity); Transit (satellite); Computer science; Automotive engineering; Public transport; Electrical engineering; Transport engineering; Engineering; Physics; Power (physics)","score_opus":0.014971842805079544,"score_gpt":0.24449517385763192,"score_spread":0.22952333105255238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401608436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7864695,0.0006455275,0.18939951,0.000567908,0.00007610352,0.00016109688,0.00027325132,0.00034108144,0.02206608],"genre_scores_gemma":[0.9947397,0.00013586496,0.002158443,0.0000099430845,0.000006352713,0.000019121358,0.000027655868,0.000007760524,0.002895158],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998229,0.000051222512,0.0000056339313,0.000031261836,0.000029020455,0.000060026534],"domain_scores_gemma":[0.9998648,0.000038700047,0.000028595286,0.000007793026,0.000041765987,0.000018383687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031319904,0.0003939226,0.00042832337,0.00034453443,0.00051674416,0.0007047578,0.0009466116,0.000652084,0.0029419244],"category_scores_gemma":[0.0004353852,0.00029571625,0.0004244545,0.00044925764,0.00044745358,0.0009375817,0.00031838057,0.00034164923,0.0002079624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112291564,0.000041139327,0.0017920884,0.00003971243,0.000011864556,0.00023272901,0.000044605884,0.9777728,0.004136298,0.00726655,0.0007594033,0.0077905674],"study_design_scores_gemma":[0.000011841519,0.000053254098,0.0006898477,0.0000024781627,0.000011275253,0.000044721615,0.000046708064,0.9973145,0.00050093245,0.00096169073,0.0003563285,0.000006463752],"about_ca_topic_score_codex":0.021800978,"about_ca_topic_score_gemma":0.02091877,"teacher_disagreement_score":0.021800978,"about_ca_system_score_codex":0.0015352214,"about_ca_system_score_gemma":0.000897533,"threshold_uncertainty_score":0.043348134},"labels":[],"label_agreement":null},{"id":"W4401631843","doi":"10.22215/etd/2024-16082","title":"Diagnosis and Prognosis of Lithium-Ion Batteries State Using Machine Learning","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Nonlinear autoregressive exogenous model; State of health; Battery (electricity); Reliability engineering; Computer science; Reliability (semiconductor); Deep learning; Artificial neural network; Recurrent neural network; Imputation (statistics); Engineering; Artificial intelligence; Machine learning; Power (physics)","score_opus":0.020794949799692333,"score_gpt":0.29379422818839274,"score_spread":0.2729992783887004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401631843","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33846492,0.004394974,0.64454585,0.0009500266,0.00029565892,0.00018612792,0.0006662338,0.0025518097,0.007944302],"genre_scores_gemma":[0.96874094,0.0013994726,0.026521536,0.00009289868,0.0000676987,0.000063564956,0.00042704056,0.000016350556,0.0026704192],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997316,0.000037391594,0.000031513522,0.0000819474,0.00007661552,0.000041000574],"domain_scores_gemma":[0.9995468,0.0001604272,0.000081749466,0.000037810103,0.00015216837,0.000021020043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054072007,0.00073847856,0.00058680115,0.0007431503,0.00027181517,0.0008498588,0.00063838746,0.00069902267,0.0009151271],"category_scores_gemma":[0.00200445,0.00017178795,0.0004886532,0.00036685387,0.00020083923,0.00080670835,0.00043777924,0.0006477007,0.00044063418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005071846,0.0003248059,0.033715997,0.00039032375,0.0001334498,0.00051466876,0.0002131639,0.27913672,0.025543043,0.0027464277,0.004137596,0.65263665],"study_design_scores_gemma":[0.000007548646,0.00012215752,0.004169379,0.00003101093,0.00002742186,0.00009012865,0.00005925834,0.9848622,0.0084869005,0.0013022955,0.00082410034,0.000017583629],"about_ca_topic_score_codex":0.0031550904,"about_ca_topic_score_gemma":0.0027844566,"teacher_disagreement_score":0.0031550904,"about_ca_system_score_codex":0.00041626368,"about_ca_system_score_gemma":0.00050752045,"threshold_uncertainty_score":0.0062734485},"labels":[],"label_agreement":null},{"id":"W4401724385","doi":"10.1145/3674746.3674797","title":"Prediction of Remaining Useful Life of Lithium-Ion Battery Packs of Autonomous Vehicle with Incremental LSTM Neural Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Artificial neural network; Battery (electricity); Computer science; Lithium (medication); Artificial intelligence; Lithium-ion battery; Automotive engineering; Engineering; Psychology","score_opus":0.020872609474295974,"score_gpt":0.2383969632340408,"score_spread":0.21752435375974483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401724385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62469167,0.0009788851,0.367741,0.0003456568,0.00015871707,0.000045826964,0.0005688605,0.0012417936,0.004227572],"genre_scores_gemma":[0.9935049,0.00011446472,0.005569425,0.000019959583,0.000008583217,0.000017391567,0.0001732341,0.000010131437,0.0005819696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993217,0.000007816402,0.000005360625,0.000018603023,0.000022998476,0.0000129997925],"domain_scores_gemma":[0.99978966,0.0000799172,0.000028170762,0.000010725371,0.000081887,0.000009689999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019458869,0.0005063352,0.00028480426,0.000370298,0.00016460415,0.00034376213,0.0005369088,0.00035204185,0.0006983462],"category_scores_gemma":[0.00091141934,0.00017489035,0.00029680596,0.00030806687,0.00013290196,0.00056976936,0.00024808673,0.00049051736,0.00012926558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120717916,0.000052191088,0.0060561434,0.00006458989,0.000032897835,0.00012552056,0.000050170478,0.90997547,0.004272944,0.00052173145,0.0010036608,0.077723905],"study_design_scores_gemma":[8.2866734e-7,0.000010373938,0.0004974336,0.0000020048694,0.0000034896384,0.000005792757,0.0000043968384,0.9985397,0.0006290225,0.00024641087,0.000058684484,0.000001913277],"about_ca_topic_score_codex":0.008300119,"about_ca_topic_score_gemma":0.009557435,"teacher_disagreement_score":0.008300119,"about_ca_system_score_codex":0.000526384,"about_ca_system_score_gemma":0.00036873424,"threshold_uncertainty_score":0.016503632},"labels":[],"label_agreement":null},{"id":"W4401725842","doi":"10.1109/access.2024.3446880","title":"A Comprehensive Review of Cloud-Based Lithium-Ion Battery Management Systems for Electric Vehicle Applications","year":2024,"lang":"en","type":"review","venue":"IEEE Access","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Cloud computing; Lithium (medication); Battery (electricity); Ion; Lithium-ion battery; Systems engineering; Engineering; Operating system; Physics; Power (physics)","score_opus":0.07492195733250473,"score_gpt":0.3882809031095545,"score_spread":0.31335894577704976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401725842","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00042248509,0.99249566,0.00094730593,0.0003625685,0.0003415983,0.000024803017,0.00011260538,0.00003630513,0.005256714],"genre_scores_gemma":[0.002063684,0.9940216,0.001006609,0.00024140821,0.00018872964,0.0000204665,0.00014447416,0.00000841938,0.0023045894],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997497,0.000033054625,0.000042615557,0.000041947103,0.000111696165,0.000020884145],"domain_scores_gemma":[0.9995153,0.00021272007,0.000060543,0.000014969173,0.00017226826,0.000024151639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042048804,0.00081419904,0.000765602,0.0021636146,0.00029971404,0.0008828688,0.0006999256,0.0007674997,0.0072243116],"category_scores_gemma":[0.00085467694,0.00029158875,0.00071243074,0.0025434534,0.00017019406,0.0013701832,0.0004743399,0.00074119825,0.0031172778],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058008765,0.000089062676,0.00022608139,0.039602425,0.00009625977,0.00015792166,0.00008106659,0.0007795087,0.0032236022,0.004862922,0.03808117,0.91274196],"study_design_scores_gemma":[0.000006319888,0.00012054347,0.0006248991,0.0053820303,0.0001476276,0.00046349695,0.000052084364,0.00023073702,0.000865412,0.0012260721,0.99086046,0.000020344192],"about_ca_topic_score_codex":0.0013824867,"about_ca_topic_score_gemma":0.0021613725,"teacher_disagreement_score":0.0072243116,"about_ca_system_score_codex":0.00037329312,"about_ca_system_score_gemma":0.0013036261,"threshold_uncertainty_score":0.024167776},"labels":[],"label_agreement":null},{"id":"W4401804314","doi":"10.3390/fire7090296","title":"Enhancing Fire Protection in Electric Vehicle Batteries Based on Thermal Energy Storage Systems Using Machine Learning and Feature Engineering","year":2024,"lang":"en","type":"article","venue":"Fire","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Feature (linguistics); Automotive engineering; Electric vehicle; Energy storage; Thermal; Computer science; Thermal energy storage; Environmental science; Engineering","score_opus":0.007826552432069613,"score_gpt":0.21760696440237148,"score_spread":0.20978041197030187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401804314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52150595,0.0010244596,0.46955287,0.00020336044,0.000050947718,0.000059314778,0.0000994218,0.0010838952,0.006419748],"genre_scores_gemma":[0.9933449,0.00015240243,0.005947909,0.000012332058,0.000004800586,0.000011356177,0.000024709356,0.0000090548065,0.00049234496],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992526,0.00001463049,0.000006895286,0.000012893188,0.000030329249,0.0000099757945],"domain_scores_gemma":[0.9998461,0.00006129107,0.000030538682,0.000013456919,0.000044300752,0.0000042163906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019679885,0.00033001145,0.00034279242,0.00028513954,0.00014092111,0.00045391702,0.0003579937,0.00022904109,0.00058041303],"category_scores_gemma":[0.0005884638,0.00010885165,0.00033137278,0.00024172805,0.00014012572,0.0006790866,0.000255624,0.0002087049,0.0001417636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002933895,0.00016785185,0.009260878,0.0002788548,0.00007806916,0.00029539253,0.000120258075,0.64583385,0.049807463,0.0019409078,0.0006627966,0.2912603],"study_design_scores_gemma":[0.0000062338695,0.00017760886,0.0018203751,0.000017418546,0.000024511528,0.000073174146,0.00003103013,0.97944176,0.016888602,0.00083110813,0.0006796883,0.000008497594],"about_ca_topic_score_codex":0.0009530004,"about_ca_topic_score_gemma":0.0015080717,"teacher_disagreement_score":0.0009530004,"about_ca_system_score_codex":0.0002547102,"about_ca_system_score_gemma":0.00018398183,"threshold_uncertainty_score":0.0019416213},"labels":[],"label_agreement":null},{"id":"W4401884733","doi":"10.1002/sus2.234","title":"Batteries for electric vehicles: Technical advancements, environmental challenges, and market perspectives","year":2024,"lang":"en","type":"article","venue":"SusMat","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; École de Technologie Supérieure","funders":"","keywords":"Computer science; Engineering; Environmental science","score_opus":0.01283869098115377,"score_gpt":0.2554355194836335,"score_spread":0.24259682850247977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401884733","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019515908,0.968714,0.0012605026,0.009422757,0.0013643628,0.000013994856,0.00012844612,0.000028874523,0.017115409],"genre_scores_gemma":[0.013150986,0.9774965,0.0010900127,0.0017462888,0.0009208252,0.000017947172,0.00013575074,0.0000116203,0.0054300902],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99946576,0.000111383015,0.00003878412,0.00006864766,0.00024034425,0.000075005795],"domain_scores_gemma":[0.99926406,0.0002428129,0.0000688147,0.000019703037,0.0003489204,0.000055671007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017141715,0.00065265415,0.00070068537,0.0014183228,0.00046090106,0.0029155877,0.0007182083,0.0016686773,0.010061807],"category_scores_gemma":[0.0011680395,0.00022204003,0.00054984307,0.0021902171,0.00063156243,0.004812563,0.0012321321,0.002209629,0.002601167],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015295696,0.00011647598,0.00091876846,0.015610505,0.000072694645,0.0007778941,0.00035173979,0.0021408517,0.010616158,0.1683731,0.08480608,0.7160627],"study_design_scores_gemma":[0.0000049642167,0.00008597491,0.00035364245,0.0020280872,0.000026415406,0.00043973082,0.00043373744,0.00030908742,0.0011317319,0.021219393,0.97394955,0.000017677998],"about_ca_topic_score_codex":0.001074944,"about_ca_topic_score_gemma":0.0022910817,"teacher_disagreement_score":0.010061807,"about_ca_system_score_codex":0.0010687475,"about_ca_system_score_gemma":0.0020549714,"threshold_uncertainty_score":0.033660054},"labels":[],"label_agreement":null},{"id":"W4401957754","doi":"10.3390/wevj15090392","title":"A Novel Charging Management and Security Framework for the Electric Vehicle (EV) Ecosystem","year":2024,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Trent University; Northern Border University; Nottingham Trent University","keywords":"Electric vehicle; Ecosystem; Business; Ecosystem management; Environmental economics; Environmental resource management; Environmental science; Ecology; Economics; Physics","score_opus":0.012583613202291554,"score_gpt":0.26155128948380724,"score_spread":0.24896767628151567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401957754","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011051077,0.00023653248,0.97750354,0.0004546615,0.00009457632,0.00022720525,0.00010875301,0.0025810641,0.0077425945],"genre_scores_gemma":[0.5331154,0.000641797,0.4550891,0.00027396204,0.00012005956,0.00039046103,0.00053203723,0.0003238867,0.009513343],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992255,0.00015918008,0.00006775439,0.000116337644,0.00031488878,0.0001163159],"domain_scores_gemma":[0.99966335,0.00005896286,0.000037220336,0.000062795465,0.00011838292,0.000059348968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011656693,0.0006036104,0.0005757372,0.00063272397,0.0007711885,0.002171501,0.001755683,0.0010290992,0.0027165224],"category_scores_gemma":[0.0012662882,0.00028251042,0.00082165864,0.0004835646,0.00063359685,0.0020762258,0.0026909923,0.0012884678,0.000763369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017528501,0.00033575218,0.0030326913,0.00037785523,0.00012189037,0.0008385212,0.00047222854,0.47170562,0.021386063,0.32076833,0.014253015,0.16653284],"study_design_scores_gemma":[0.000021280226,0.00006699087,0.00030367574,0.000035224297,0.000023129445,0.00025597287,0.000082422346,0.94618183,0.0034343188,0.023382671,0.026180029,0.000032439963],"about_ca_topic_score_codex":0.0037848065,"about_ca_topic_score_gemma":0.0040072757,"teacher_disagreement_score":0.0037848065,"about_ca_system_score_codex":0.001077907,"about_ca_system_score_gemma":0.0024595826,"threshold_uncertainty_score":0.009087622},"labels":[],"label_agreement":null},{"id":"W4401983747","doi":"10.1016/j.egyai.2024.100419","title":"Artificial intelligence-driven real-world battery diagnostics","year":2024,"lang":"en","type":"article","venue":"Energy and AI","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Data science; Multiphysics; Big data; Field (mathematics); Artificial intelligence; Implementation; Expansive; Battery (electricity); Risk analysis (engineering); Systems engineering; Management science; Engineering; Software engineering; Data mining","score_opus":0.02177583779534759,"score_gpt":0.285976548899711,"score_spread":0.26420071110436344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401983747","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04941435,0.004068319,0.9110627,0.008234222,0.0004011224,0.00007508905,0.00045928056,0.0011906163,0.025094192],"genre_scores_gemma":[0.8805111,0.00468538,0.10513848,0.00125428,0.00021542411,0.000085772284,0.00059153594,0.00014636124,0.007371718],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996811,0.00007184134,0.000019248335,0.000068310605,0.000119503595,0.00003989519],"domain_scores_gemma":[0.99890924,0.00055753207,0.00011689126,0.00013821789,0.00020828962,0.000069826994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008617616,0.00056457194,0.00047010058,0.00041829073,0.00034326222,0.0016392088,0.0014244723,0.001337603,0.0019935113],"category_scores_gemma":[0.0028164966,0.00027829723,0.0005386763,0.00043992742,0.0013316916,0.0022206814,0.0014879424,0.0019662478,0.0005203895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009896764,0.00010825048,0.0046050767,0.00039028845,0.00007540277,0.000494375,0.00020696518,0.76829284,0.0074565895,0.09916335,0.010253036,0.10885481],"study_design_scores_gemma":[0.0000062371932,0.000029028957,0.00044940633,0.00004003525,0.00001218977,0.00008862798,0.00004922077,0.92759717,0.0030488295,0.060447436,0.008213307,0.000018441795],"about_ca_topic_score_codex":0.0025013885,"about_ca_topic_score_gemma":0.0035414046,"teacher_disagreement_score":0.0025013885,"about_ca_system_score_codex":0.0011054166,"about_ca_system_score_gemma":0.0009611593,"threshold_uncertainty_score":0.008020341},"labels":[],"label_agreement":null},{"id":"W4402158041","doi":"10.2139/ssrn.4931222","title":"Design and Performance of a Compact Lightweight Hybrid Thermal Management System Using Phase Change Material and Liquid Cooling with a Honeycomb-Like Structure for Prismatic Lithium-Ion Batteries","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Honeycomb; Lithium (medication); Materials science; Phase-change material; Thermal; Phase change; Computer cooling; Ion; Phase (matter); Thermal management of electronic devices and systems; Composite material; Honeycomb structure; Liquid phase; Mechanical engineering; Engineering physics; Thermodynamics; Engineering; Chemistry; Physics","score_opus":0.017741877192720128,"score_gpt":0.2565100495432574,"score_spread":0.23876817235053727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402158041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8578553,0.00048280272,0.13429435,0.00018004228,0.00008835902,0.000088051645,0.00015445413,0.0012765005,0.0055800914],"genre_scores_gemma":[0.98677284,0.000040177394,0.011457773,0.000021233713,0.000008542824,0.000030809722,0.000046445173,0.000024324938,0.0015977472],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999082,0.000012593823,0.000004821395,0.000023131422,0.000038656653,0.000012709543],"domain_scores_gemma":[0.9998808,0.000019777945,0.000025294734,0.000017438551,0.000042531614,0.000014203546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012964493,0.00022134082,0.00043138245,0.00014619913,0.00030417452,0.00038691153,0.0007724757,0.0002831287,0.001711015],"category_scores_gemma":[0.000136742,0.00014441085,0.0001929192,0.00014285486,0.00018176717,0.0004014016,0.00023461136,0.00015487956,0.0003612109],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074180943,0.00015109585,0.0013384692,0.00027850983,0.00007828948,0.00021477796,0.00009320169,0.047146883,0.89824945,0.0011740146,0.0014305018,0.049102984],"study_design_scores_gemma":[0.00021407024,0.0029147058,0.0060369116,0.000016937816,0.00013213274,0.0003852291,0.000080017926,0.5848847,0.39718926,0.0005044738,0.0075745475,0.000067062974],"about_ca_topic_score_codex":0.0004813179,"about_ca_topic_score_gemma":0.0007093313,"teacher_disagreement_score":0.001711015,"about_ca_system_score_codex":0.00026444602,"about_ca_system_score_gemma":0.00032548423,"threshold_uncertainty_score":0.0057238936},"labels":[],"label_agreement":null},{"id":"W4402275146","doi":"10.1155/2024/9609442","title":"A Novel AC Green Plug Switched Filter Scheme for Low Impact Efficient V2G Battery Charging Stations","year":2024,"lang":"en","type":"article","venue":"International Transactions on Electrical Energy Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Fredericton; Dalhousie University","funders":"","keywords":"Inrush current; Switched capacitor; Harmonics; Voltage; Electrical engineering; Capacitor; Control theory (sociology); Computer science; Electronic engineering; Engineering; Transformer","score_opus":0.01887974305530272,"score_gpt":0.2875273911660168,"score_spread":0.26864764811071407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402275146","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27782843,0.00093167793,0.7014172,0.00023621184,0.00022102144,0.00015499367,0.00014783804,0.0021929676,0.016869657],"genre_scores_gemma":[0.96835214,0.0001464036,0.02763004,0.000053963915,0.000030937106,0.000024563406,0.000045573153,0.000020111893,0.0036962428],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999943,0.000007293199,0.000003328581,0.000012355815,0.000025598838,0.000008359517],"domain_scores_gemma":[0.9999546,0.000007710983,0.000006671173,0.00000643244,0.000019831157,0.0000047994604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006302344,0.00021632036,0.00013033123,0.00023746857,0.00025185177,0.00033482496,0.0005504041,0.000278285,0.002614501],"category_scores_gemma":[0.00008729756,0.00005996159,0.00012806398,0.00025566347,0.00013850373,0.00044455178,0.000118905264,0.00021644477,0.00034200656],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006993052,0.00014929533,0.0008991665,0.00028539324,0.000045811048,0.0001929407,0.00013656124,0.0101345545,0.58139473,0.0108828265,0.0023943328,0.39278507],"study_design_scores_gemma":[0.00019776954,0.0016863865,0.003912476,0.000048695212,0.00012641663,0.0009529292,0.000115032875,0.31423044,0.6103033,0.004723503,0.06364511,0.0000578655],"about_ca_topic_score_codex":0.0008596916,"about_ca_topic_score_gemma":0.0013641963,"teacher_disagreement_score":0.002614501,"about_ca_system_score_codex":0.00028875616,"about_ca_system_score_gemma":0.00018912736,"threshold_uncertainty_score":0.008746386},"labels":[],"label_agreement":null},{"id":"W4402299275","doi":"10.1016/j.ifacol.2024.08.327","title":"Interpretable Data-Driven Capacity Estimation of Lithium-ion Batteries","year":2024,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of British Columbia","funders":"","keywords":"Lithium (medication); Estimation; Ion; Computer science; Environmental science; Chemistry; Engineering; Medicine; Systems engineering; Internal medicine","score_opus":0.034184452824465,"score_gpt":0.297272866365534,"score_spread":0.26308841354106904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402299275","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32556903,0.001758702,0.66408217,0.0007098311,0.00009316544,0.000078122495,0.003409684,0.0022771182,0.0020221747],"genre_scores_gemma":[0.95135736,0.0003803658,0.04319646,0.00009446695,0.000057614692,0.00007923653,0.003951482,0.00009431942,0.00078864716],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995473,0.00014109605,0.00003325832,0.00012847382,0.000104059436,0.00004581282],"domain_scores_gemma":[0.9978442,0.0012130553,0.00022255834,0.00020434616,0.00046833284,0.000047503047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012498052,0.0010063252,0.0008765545,0.00105959,0.0002662351,0.0010463613,0.0013724602,0.0010839305,0.0006760245],"category_scores_gemma":[0.0065292544,0.00032613936,0.00077841413,0.0009517423,0.00037072608,0.0015275127,0.00062798447,0.0011316258,0.00034637313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011173836,0.00006319615,0.0066541685,0.00009115401,0.00005617502,0.00011461562,0.00006239441,0.9426425,0.0026279362,0.0017223359,0.0017871882,0.044066597],"study_design_scores_gemma":[0.0000019768631,0.000008679255,0.0005850645,0.0000050767117,0.0000042419697,0.0000148220915,0.000007919437,0.9960659,0.0008602286,0.0022058457,0.00023420017,0.0000060309067],"about_ca_topic_score_codex":0.0046389494,"about_ca_topic_score_gemma":0.0049763042,"teacher_disagreement_score":0.0046389494,"about_ca_system_score_codex":0.0006523047,"about_ca_system_score_gemma":0.0004940543,"threshold_uncertainty_score":0.009223878},"labels":[],"label_agreement":null},{"id":"W4402389089","doi":"10.1109/access.2024.3457687","title":"Energy Management of Fast Charging and Ultra-Fast Charging Stations With Distributed Energy Resources","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Energy (signal processing); Energy management; Physics","score_opus":0.013996605494478183,"score_gpt":0.26770824200844145,"score_spread":0.2537116365139633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402389089","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21802063,0.00027830465,0.7681074,0.00023925134,0.00008145949,0.00021603737,0.000121534125,0.0008640103,0.01207136],"genre_scores_gemma":[0.9829085,0.000057461548,0.014948579,0.000021356529,0.000008936556,0.000038319755,0.000032714168,0.000020338664,0.0019639316],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995278,0.000101822334,0.00002441197,0.00011809063,0.00013588727,0.00009202847],"domain_scores_gemma":[0.9996743,0.0000980333,0.00005011618,0.00004855195,0.00009741216,0.00003155373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007057744,0.00054406625,0.0006259075,0.0002811607,0.0006218404,0.0015329133,0.0014913745,0.00058520684,0.0021797016],"category_scores_gemma":[0.00078667543,0.00031655218,0.0004201965,0.00038323845,0.00040045282,0.0011916063,0.00076871476,0.0006199722,0.00040211857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028041034,0.0001856888,0.0014673932,0.000088505214,0.00003427296,0.00016363928,0.00006331012,0.8949728,0.008596229,0.0047639715,0.000791734,0.08859195],"study_design_scores_gemma":[0.000019396064,0.00009217594,0.0002925892,0.0000038412063,0.000007836524,0.000021530403,0.00003111812,0.99409205,0.0025899033,0.0022043546,0.0006395643,0.0000056690524],"about_ca_topic_score_codex":0.003311683,"about_ca_topic_score_gemma":0.004051193,"teacher_disagreement_score":0.003311683,"about_ca_system_score_codex":0.0008440715,"about_ca_system_score_gemma":0.0007233832,"threshold_uncertainty_score":0.0072918534},"labels":[],"label_agreement":null},{"id":"W4402453191","doi":"10.20944/preprints202409.0793.v1","title":"A Comparison of Battery Equivalent Circuit Model Parameter Extraction Approaches Based on Electrochemical Impedance Spectroscopy","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dielectric spectroscopy; Equivalent circuit; Battery (electricity); Electrical impedance; Extraction (chemistry); Materials science; Electrochemistry; Analytical Chemistry (journal); Electrical engineering; Computer science; Electronic engineering; Engineering; Chemistry; Physics; Power (physics); Voltage; Chromatography; Electrode; Thermodynamics","score_opus":0.25366386467032964,"score_gpt":0.4058739614611374,"score_spread":0.15221009679080777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402453191","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07064166,0.002220604,0.9198367,0.00016486924,0.000052752494,0.000075444426,0.00019917129,0.0017217232,0.005087145],"genre_scores_gemma":[0.6261442,0.0037012273,0.36590418,0.00012041374,0.00004140794,0.00022320246,0.00081061636,0.00028519332,0.0027696325],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991947,0.00017705851,0.0000685733,0.00013362848,0.0003968183,0.000029252222],"domain_scores_gemma":[0.99896574,0.0004866652,0.00008193126,0.0001465828,0.00030293514,0.00001609098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011055329,0.0011875203,0.00088950014,0.0014828064,0.00024300524,0.0008655199,0.0011326494,0.00082216936,0.0011191703],"category_scores_gemma":[0.003951657,0.00036653434,0.00086408644,0.00096736103,0.00029319388,0.0020923414,0.0007247736,0.0005720856,0.0005722277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005024437,0.00022377988,0.0067022024,0.0014003179,0.00043027103,0.00025809612,0.00034409962,0.23354678,0.083414555,0.006461261,0.0016342261,0.665082],"study_design_scores_gemma":[0.00004117496,0.00025139083,0.0043314574,0.00009967312,0.00016959498,0.00037690662,0.00015893397,0.9122844,0.07253943,0.0033300554,0.0063152774,0.00010170299],"about_ca_topic_score_codex":0.0019249758,"about_ca_topic_score_gemma":0.0029662976,"teacher_disagreement_score":0.0019249758,"about_ca_system_score_codex":0.00038090063,"about_ca_system_score_gemma":0.0006534742,"threshold_uncertainty_score":0.005846679},"labels":[],"label_agreement":null},{"id":"W4402455275","doi":"10.11159/htff24.214","title":"Effect of Composite Coldplate on Thermal Performance of a EV Battery Module","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Composite number; Battery (electricity); Thermal; Materials science; Automotive engineering; Computer science; Optoelectronics; Electrical engineering; Composite material; Engineering; Physics; Power (physics)","score_opus":0.004512681472032964,"score_gpt":0.21400637762817806,"score_spread":0.2094936961561451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402455275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981067,0.00039358967,0.0004425725,0.000018156356,0.0000516696,0.00000464783,0.00006479071,0.000053381704,0.00086456636],"genre_scores_gemma":[0.99849975,0.00009512433,0.00023906409,0.000021134092,0.000008301319,0.0000037182879,0.00006076628,0.000029412748,0.001042751],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977785,0.000025013542,0.000015175416,0.00005609335,0.000063090316,0.00006288332],"domain_scores_gemma":[0.99941003,0.00018640759,0.00007571691,0.000054866436,0.00019530878,0.00007766594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027736987,0.00034620395,0.0005969031,0.00027040363,0.00039213875,0.00050426356,0.00049816014,0.00056794897,0.0042208596],"category_scores_gemma":[0.0005395483,0.0002838923,0.0003635282,0.0002538244,0.00028646216,0.00060028885,0.00028598792,0.00039097696,0.000650164],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002514318,0.00006962403,0.0012489386,0.00014337037,0.00003658126,0.00021587854,0.00009319035,0.0011007658,0.9905033,0.000064681466,0.00018928951,0.00381995],"study_design_scores_gemma":[0.000013223673,0.0006743604,0.0037774744,0.0000074011177,0.000043355525,0.000058752965,0.00006345038,0.0012186826,0.9936417,0.000009891122,0.00048269154,0.000009019594],"about_ca_topic_score_codex":0.00040552198,"about_ca_topic_score_gemma":0.0008341817,"teacher_disagreement_score":0.0042208596,"about_ca_system_score_codex":0.00018228455,"about_ca_system_score_gemma":0.00017041215,"threshold_uncertainty_score":0.014120221},"labels":[],"label_agreement":null},{"id":"W4402474522","doi":"10.1109/ccece59415.2024.10667199","title":"Integrating Battery Storage into Electricity Markets: Accounting for Degradation Costs and Participation Models in the IESO Wholesale Markets","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Independent Electricity System Operator","funders":"","keywords":"Electricity; Battery (electricity); Business; Degradation (telecommunications); Environmental economics; Industrial organization; Commerce; Natural resource economics; Computer science; Economics; Electrical engineering; Engineering; Telecommunications; Power (physics)","score_opus":0.020030060761677945,"score_gpt":0.29037099709670244,"score_spread":0.2703409363350245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402474522","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61110455,0.0008014295,0.32021067,0.0015245235,0.00011003237,0.00034484867,0.0008342923,0.00032968764,0.064739875],"genre_scores_gemma":[0.987818,0.00018600354,0.0050010737,0.00004356879,0.000021251339,0.00006723368,0.00011135754,0.0000560271,0.0066955662],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956197,0.00017560163,0.000016680888,0.00006398573,0.00009905222,0.00008273866],"domain_scores_gemma":[0.9988141,0.0007201439,0.0001303027,0.00006289931,0.00019718603,0.00007538422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013029266,0.00075135037,0.00080870365,0.0005025472,0.00048530684,0.0022571406,0.00177198,0.0015863917,0.004785735],"category_scores_gemma":[0.00410672,0.00043712748,0.0010281933,0.00075451954,0.0007076811,0.0036071849,0.0009087966,0.0013424564,0.00046543925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005541909,0.000042013915,0.0011098156,0.000023152292,0.000013052197,0.00008146483,0.000056393266,0.98048466,0.00034342584,0.013443711,0.0003419736,0.004004961],"study_design_scores_gemma":[0.000009174938,0.000024106646,0.0002868284,0.000005914414,0.000008181998,0.000020520638,0.000032908174,0.99510384,0.00014401335,0.0038063384,0.0005506811,0.000007534204],"about_ca_topic_score_codex":0.024004992,"about_ca_topic_score_gemma":0.015035494,"teacher_disagreement_score":0.975995,"about_ca_system_score_codex":0.00211204,"about_ca_system_score_gemma":0.0016967512,"threshold_uncertainty_score":0.047730565},"labels":[],"label_agreement":null},{"id":"W4402475528","doi":"10.1109/ccece59415.2024.10667156","title":"Hybrid Control Scheme for More Efficient Charging of Two Electric Vehicle Batteries Simultaneously","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"University of Victoria","keywords":"Scheme (mathematics); Electric vehicle; Control (management); Automotive engineering; Computer science; Engineering; Power (physics); Physics; Mathematics","score_opus":0.009465924950406612,"score_gpt":0.2733144958022423,"score_spread":0.2638485708518357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402475528","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06825441,0.00022010593,0.9224506,0.00021377734,0.00013604437,0.000100614925,0.000029935927,0.0009307086,0.007663843],"genre_scores_gemma":[0.9742168,0.00004668533,0.02306038,0.00008702609,0.00002468833,0.000071147944,0.00002091205,0.000017115382,0.0024552303],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996747,0.000047781417,0.00002640812,0.0000906732,0.00010989091,0.00005058804],"domain_scores_gemma":[0.99973637,0.00006222511,0.00004581755,0.00003567961,0.00009372951,0.000026271238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005287638,0.00039568188,0.00049277756,0.00025407985,0.00032747,0.00072715903,0.0010868282,0.00046189016,0.0023463627],"category_scores_gemma":[0.00048521222,0.0001684978,0.00032559846,0.00021744716,0.0003844049,0.0007468477,0.000860116,0.00054581533,0.0003210326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006950996,0.0004591592,0.0017788856,0.00030732842,0.00017242946,0.00039814925,0.00040717694,0.5157664,0.11483692,0.027499547,0.0037918172,0.33388704],"study_design_scores_gemma":[0.000052591546,0.00015047893,0.00029618698,0.000007800392,0.0000174968,0.000069676404,0.000016230519,0.98816,0.00691818,0.002560281,0.0017381954,0.000012965891],"about_ca_topic_score_codex":0.0014448803,"about_ca_topic_score_gemma":0.0017018676,"teacher_disagreement_score":0.0023463627,"about_ca_system_score_codex":0.00037097197,"about_ca_system_score_gemma":0.0003776777,"threshold_uncertainty_score":0.007849395},"labels":[],"label_agreement":null},{"id":"W4402477416","doi":"10.11159/icert24.115","title":"Ultrathin Heat Spreader Thermal Management of Lithium-ion Batteries for EV and Energy Storage","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Thermal management of electronic devices and systems; Lithium (medication); Energy storage; Materials science; Thermal energy storage; Ion; Thermal; Nuclear engineering; Thermal energy; Chemistry; Mechanical engineering; Engineering; Physics; Thermodynamics","score_opus":0.01408764827772285,"score_gpt":0.25035845852557653,"score_spread":0.23627081024785368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402477416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43013883,0.17863593,0.29726943,0.0024156389,0.0047587827,0.00031748944,0.0006018146,0.002636661,0.08322546],"genre_scores_gemma":[0.8982759,0.027701404,0.047071382,0.00036655413,0.00055597484,0.0001734564,0.00023464511,0.00015335236,0.02546736],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989486,0.0000077095365,0.0000040194086,0.00002214439,0.000059111317,0.000012122037],"domain_scores_gemma":[0.9999484,0.000009520026,0.000011105419,0.000005725025,0.00001752882,0.000007722974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001428558,0.00032324228,0.00018704952,0.00022855765,0.00016511315,0.00043434327,0.00038951545,0.00044862126,0.0016445812],"category_scores_gemma":[0.00017755711,0.00016301799,0.00018737423,0.00015523571,0.00015394975,0.0006720998,0.00030093323,0.00048138233,0.00068028946],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006211581,0.000026872263,0.000251738,0.00043946697,0.000014252029,0.00014578915,0.00009960443,0.001725905,0.93173647,0.0066346303,0.0030200062,0.055843156],"study_design_scores_gemma":[0.0000086428245,0.0002873745,0.0008468414,0.00006224329,0.000024752911,0.00039998197,0.00007681273,0.016478486,0.9137933,0.0020163944,0.06597095,0.000034281627],"about_ca_topic_score_codex":0.00016214163,"about_ca_topic_score_gemma":0.00024286349,"teacher_disagreement_score":0.0016445812,"about_ca_system_score_codex":0.00034387765,"about_ca_system_score_gemma":0.00012168047,"threshold_uncertainty_score":0.0055016875},"labels":[],"label_agreement":null},{"id":"W4402507577","doi":"10.1016/j.est.2024.113731","title":"Challenges in thermal management of lithium-ion batteries using phase change nanocomposite materials: A review","year":2024,"lang":"en","type":"review","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Nanocomposite; Lithium (medication); Thermal management of electronic devices and systems; Phase change; Materials science; Phase (matter); Thermal; Ion; Phase-change material; Nanotechnology; Chemical engineering; Engineering physics; Engineering; Mechanical engineering; Chemistry; Thermodynamics; Physics; Psychology","score_opus":0.15405731018729488,"score_gpt":0.3843011577562566,"score_spread":0.23024384756896174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402507577","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00025460427,0.9988103,0.00015213384,0.00022631114,0.000119398705,0.0000037186214,0.000009706531,0.0000042737565,0.00041950415],"genre_scores_gemma":[0.0010532388,0.99822706,0.00018930773,0.00011276677,0.00010519593,0.000004998088,0.0000125299275,9.2325905e-7,0.00029399348],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99983823,0.000016943795,0.000025443753,0.000029042552,0.000073061936,0.000017322893],"domain_scores_gemma":[0.99962366,0.00017639768,0.00006170742,0.000007161623,0.00011047341,0.000020521771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000658287,0.00068304036,0.000997025,0.0015553967,0.0002514511,0.00094460195,0.0008165474,0.00091459183,0.0015034219],"category_scores_gemma":[0.00063931086,0.00033278062,0.00044690032,0.0016500431,0.00031377852,0.0014712183,0.0005359458,0.0010460344,0.0006636737],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007674191,0.000114638824,0.00025415284,0.037093468,0.00009994439,0.00022794394,0.00010480876,0.00066257344,0.009121862,0.004124938,0.01835783,0.92976123],"study_design_scores_gemma":[0.000019024856,0.00021309195,0.0009780333,0.005782756,0.00022725332,0.0010408901,0.00016382357,0.00040802234,0.0037163438,0.0018980801,0.98550737,0.000045322846],"about_ca_topic_score_codex":0.0008067018,"about_ca_topic_score_gemma":0.0023568952,"teacher_disagreement_score":0.0015553967,"about_ca_system_score_codex":0.00036694584,"about_ca_system_score_gemma":0.0010077966,"threshold_uncertainty_score":0.0050293803},"labels":[],"label_agreement":null},{"id":"W4402534709","doi":"10.1007/978-3-031-61511-5_1","title":"Instrumentation of a Pavement Structure Containing Inductive Charging Equipment in the Canadian Context","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; École de Technologie Supérieure","funders":"","keywords":"Instrumentation (computer programming); Context (archaeology); Engineering; Forensic engineering; Electrical engineering; Computer science; Geography; Archaeology; Operating system","score_opus":0.016058227196504463,"score_gpt":0.24205378759842025,"score_spread":0.2259955604019158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402534709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8069199,0.0008732345,0.07613902,0.00094525475,0.0001642456,0.00041261935,0.0011921867,0.0014622392,0.11189138],"genre_scores_gemma":[0.9495159,0.000417983,0.026577834,0.00009512986,0.000015208674,0.00004328633,0.00026713283,0.00007286218,0.02299481],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99899024,0.000030001243,0.000008883519,0.00014872733,0.0006292655,0.00019287023],"domain_scores_gemma":[0.9996056,0.000043861186,0.000019638957,0.000028970906,0.00025077933,0.00005106366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035305522,0.000448137,0.00031454978,0.0008107781,0.0034969472,0.0011437987,0.0014788721,0.00082400575,0.0025830555],"category_scores_gemma":[0.00062740536,0.00022463429,0.00023727417,0.0014691729,0.0014064654,0.00053685094,0.0007853133,0.0008688619,0.0005081706],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065515307,0.00026517926,0.04172125,0.00031261402,0.000034205015,0.0023933738,0.005867514,0.034980454,0.6097513,0.022873588,0.008274296,0.27287108],"study_design_scores_gemma":[0.00008559602,0.0011897478,0.2758541,0.00024489537,0.00017471098,0.0025804571,0.0096412,0.065706894,0.4291002,0.005536602,0.20950389,0.0003817535],"about_ca_topic_score_codex":0.7149782,"about_ca_topic_score_gemma":0.8320998,"teacher_disagreement_score":0.28502178,"about_ca_system_score_codex":0.011593034,"about_ca_system_score_gemma":0.021119878,"threshold_uncertainty_score":0.5734006},"labels":[],"label_agreement":null},{"id":"W4402685903","doi":"10.2514/6.2024-3703","title":"Hybrid Electric Aircraft Testbed: Sizing and Simulations of an Electric Propulsion System and Energy Storage System","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Sizing; Testbed; Propulsion; Electrically powered spacecraft propulsion; Energy storage; Automotive engineering; Aerospace engineering; Computer science; Engineering; Physics; Chemistry; Power (physics)","score_opus":0.008156876866017316,"score_gpt":0.2356790380428997,"score_spread":0.22752216117688237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402685903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90321857,0.0002468133,0.05468786,0.00031891526,0.000097888435,0.0002605307,0.003533595,0.001239359,0.036396466],"genre_scores_gemma":[0.98006195,0.00007119127,0.01574605,0.000032134725,0.0000052023715,0.00012935014,0.00075032446,0.000061280705,0.003142459],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990416,0.00003145983,0.000006015781,0.000013584829,0.00002603914,0.000018822178],"domain_scores_gemma":[0.9995771,0.00025797467,0.000027404396,0.00003271358,0.00007429372,0.000030561787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032713552,0.0005885919,0.00041206152,0.00035351154,0.00031998084,0.0005002383,0.0007460866,0.00061737065,0.005851553],"category_scores_gemma":[0.0008550554,0.0002662681,0.000415827,0.00040600318,0.00033664168,0.00051036495,0.00033270766,0.00050637475,0.00031118968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007353701,0.000048133847,0.0012238702,0.000040731276,0.000010764107,0.00007310893,0.000029612971,0.9929843,0.0012878535,0.0011819704,0.00062049436,0.002425722],"study_design_scores_gemma":[0.000032236396,0.00005756281,0.00051774445,0.000004324273,0.000004423562,0.000012092062,0.00003333018,0.9972006,0.0009571074,0.00033756465,0.0008387881,0.000004213689],"about_ca_topic_score_codex":0.011202207,"about_ca_topic_score_gemma":0.012212797,"teacher_disagreement_score":0.011202207,"about_ca_system_score_codex":0.0007097932,"about_ca_system_score_gemma":0.0006316325,"threshold_uncertainty_score":0.022274017},"labels":[],"label_agreement":null},{"id":"W4402686420","doi":"10.2514/6.2024-3701","title":"Hybrid Electric Aircraft Testbed: Safety System Validation via Thermal Runaway for Lithium-Ion Propulsion Battery","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Testbed; Thermal runaway; Propulsion; Electrically powered spacecraft propulsion; Automotive engineering; Battery (electricity); Aerospace engineering; Lithium (medication); Lithium-ion battery; Computer science; Nuclear engineering; Aeronautics; Environmental science; Engineering; Physics; Power (physics)","score_opus":0.010744880248305519,"score_gpt":0.24587411626119945,"score_spread":0.23512923601289393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402686420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9224004,0.00029243066,0.058186293,0.00035260952,0.00032775124,0.000753544,0.0021942132,0.0041571674,0.011335568],"genre_scores_gemma":[0.9839721,0.00008100851,0.009652333,0.00008442548,0.000007662438,0.00018616318,0.00085921213,0.00013333443,0.0050237393],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994241,0.00011286336,0.000041103434,0.000088678076,0.0002614023,0.0000718644],"domain_scores_gemma":[0.99914527,0.00014647107,0.000057391833,0.00016373348,0.0004232606,0.000063824285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010326456,0.00047521113,0.0002561478,0.0004990208,0.0005261006,0.00056073215,0.00087519956,0.0005450381,0.0048634117],"category_scores_gemma":[0.0017723764,0.00012479097,0.0003103151,0.00022033499,0.00046355173,0.00076104363,0.000631331,0.0005152821,0.0010911818],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036249089,0.0015881896,0.034612603,0.0013616595,0.0003452451,0.004134891,0.0022397854,0.1252946,0.65134287,0.008818595,0.022258785,0.14437792],"study_design_scores_gemma":[0.00053874066,0.009840114,0.020447062,0.00015192784,0.00015667299,0.0016015171,0.0009921462,0.20802215,0.6963876,0.0023605207,0.05934655,0.00015512334],"about_ca_topic_score_codex":0.0020121424,"about_ca_topic_score_gemma":0.002853116,"teacher_disagreement_score":0.0048634117,"about_ca_system_score_codex":0.0006657775,"about_ca_system_score_gemma":0.00054533564,"threshold_uncertainty_score":0.016269743},"labels":[],"label_agreement":null},{"id":"W4402687549","doi":"10.2514/6.2024-3575","title":"Hybrid-Electric Aircraft Testbed: Electric Propulsion System and Energy Storage System Qualification Testing","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Testbed; Propulsion; Electrically powered spacecraft propulsion; Automotive engineering; Energy storage; System testing; Aerospace engineering; Computer science; Engineering; Physics","score_opus":0.016175697517589932,"score_gpt":0.24485468057382265,"score_spread":0.22867898305623272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402687549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93040615,0.00016519031,0.04925981,0.00022556736,0.00025206417,0.00080577726,0.0028463716,0.0020795458,0.013959545],"genre_scores_gemma":[0.97641796,0.000076915516,0.013017836,0.000085145664,0.000014361194,0.00037878516,0.0015949315,0.00010452879,0.00830951],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996525,0.000049643215,0.000019832522,0.000053730324,0.00015598103,0.0000683829],"domain_scores_gemma":[0.999546,0.00005812234,0.000021612961,0.00008085973,0.000211832,0.00008161214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072175707,0.00043726125,0.00030146388,0.00029043428,0.00044133345,0.0003613366,0.0006237143,0.0004920003,0.0053934082],"category_scores_gemma":[0.0006491322,0.00013589812,0.00022084227,0.00028463054,0.00038697597,0.0006800723,0.0005309066,0.00053144025,0.0011866016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00276706,0.0013952483,0.017923322,0.00067975343,0.00012864605,0.0022072583,0.00082908943,0.040345512,0.8217793,0.006409264,0.014372982,0.091162585],"study_design_scores_gemma":[0.0007666203,0.01617076,0.04029607,0.000085324995,0.0000687564,0.0015439852,0.00071875966,0.05422777,0.81657976,0.0018694965,0.06754219,0.00013059984],"about_ca_topic_score_codex":0.0015517636,"about_ca_topic_score_gemma":0.0023755052,"teacher_disagreement_score":0.0053934082,"about_ca_system_score_codex":0.00045245796,"about_ca_system_score_gemma":0.00051994924,"threshold_uncertainty_score":0.018042743},"labels":[],"label_agreement":null},{"id":"W4402688350","doi":"10.2514/6.2024-3574","title":"Hybrid Electric Aircraft Testbed: Ground and Flight Testing of an Electric Propulsion System and Energy Storage System","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Testbed; Propulsion; Aerospace engineering; Electrically powered spacecraft propulsion; Energy storage; Automotive engineering; Arcjet rocket; Computer science; Engineering; Physics; Propellant","score_opus":0.009948678967130281,"score_gpt":0.2240573817992731,"score_spread":0.2141087028321428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402688350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98235714,0.000102465754,0.008459567,0.00017021052,0.00008602749,0.00025673732,0.0018683133,0.0007234964,0.005976051],"genre_scores_gemma":[0.9913769,0.000047330203,0.0041086837,0.000047431648,0.0000057721995,0.000082637576,0.0011547075,0.00003271231,0.0031437275],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996873,0.00006454218,0.000019218001,0.000051502393,0.0001148989,0.00006258854],"domain_scores_gemma":[0.9995623,0.000081227416,0.000023132463,0.00005888857,0.00018897523,0.00008548794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057585654,0.00044274068,0.00025321142,0.00035414286,0.0004747753,0.00034134483,0.0005327767,0.00045380366,0.0032216802],"category_scores_gemma":[0.0005440932,0.00012212031,0.0002699258,0.00028319482,0.00037608645,0.0005404183,0.0003652035,0.0003710344,0.0005334871],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0054935147,0.0034485916,0.0576858,0.00077574624,0.0004184466,0.0055819703,0.002109383,0.14229186,0.5954287,0.007771791,0.034615584,0.14437854],"study_design_scores_gemma":[0.0022101132,0.0483151,0.12865105,0.00013585282,0.00022633372,0.002363192,0.0036161249,0.26789528,0.47448763,0.0027635943,0.06908478,0.00025099743],"about_ca_topic_score_codex":0.00897644,"about_ca_topic_score_gemma":0.01597481,"teacher_disagreement_score":0.00897644,"about_ca_system_score_codex":0.0006835545,"about_ca_system_score_gemma":0.0005647084,"threshold_uncertainty_score":0.017848372},"labels":[],"label_agreement":null},{"id":"W4402693683","doi":"10.14447/jnmes.v27i2.a02","title":"An Efficient Li-ion Battery Management System with Lossless Charge Balancer for RUL and SoH Prediction","year":2024,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Battery (electricity); Lossless compression; Ion; Computer science; Charge (physics); Chemistry; Physics; Artificial intelligence; Thermodynamics","score_opus":0.008625005758650972,"score_gpt":0.24823026959908903,"score_spread":0.23960526384043807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402693683","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15970837,0.0025360403,0.80874467,0.001084393,0.0006625626,0.00026384747,0.0005700534,0.010529806,0.015900275],"genre_scores_gemma":[0.9631581,0.00028685562,0.030383458,0.00033811005,0.00010582478,0.0001294139,0.0002951772,0.00003649033,0.0052665235],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997274,0.00001981459,0.000030054778,0.000103872146,0.00008557932,0.00003331066],"domain_scores_gemma":[0.99983096,0.000018107332,0.000024121578,0.000021505019,0.00008949229,0.000015752641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002521569,0.0007088779,0.0007005088,0.00033836148,0.0006651011,0.000718132,0.0014220658,0.0005924002,0.0023427478],"category_scores_gemma":[0.0003370288,0.00025543882,0.00040382938,0.0003461899,0.00021412689,0.0011861993,0.00066790177,0.00059334893,0.00082273514],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013346545,0.00055003073,0.0075559337,0.0006506594,0.00018495109,0.0008553054,0.00044006525,0.15265769,0.15745717,0.0032301308,0.018478453,0.656605],"study_design_scores_gemma":[0.00007981839,0.0003793413,0.0016045305,0.000023411061,0.00007330039,0.00023111001,0.00004569452,0.96569777,0.026063588,0.0009407824,0.0048194136,0.000041279316],"about_ca_topic_score_codex":0.0039794776,"about_ca_topic_score_gemma":0.0039799707,"teacher_disagreement_score":0.0039794776,"about_ca_system_score_codex":0.0005095425,"about_ca_system_score_gemma":0.00073050894,"threshold_uncertainty_score":0.007912636},"labels":[],"label_agreement":null},{"id":"W4402716146","doi":"10.1109/mwscas60917.2024.10658657","title":"Capacitor Selection and Sizing in Linear and Exponential Integrated Charge Pumps","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Sizing; Capacitor; Selection (genetic algorithm); Exponential function; Charge (physics); Electrical engineering; Computer science; Mathematical optimization; Voltage; Engineering; Physics; Mathematics; Chemistry; Artificial intelligence; Mathematical analysis","score_opus":0.01274672539290998,"score_gpt":0.25517920827470025,"score_spread":0.24243248288179028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402716146","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23676047,0.0007733732,0.75375396,0.00017992235,0.00007618893,0.00013739536,0.00008257297,0.0008692353,0.007366935],"genre_scores_gemma":[0.86096144,0.0002326365,0.13656625,0.00006796211,0.000015273918,0.000032265852,0.000029048424,0.000057857356,0.0020373017],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99969816,0.00003827681,0.000017783435,0.000070859125,0.00012720386,0.000047845326],"domain_scores_gemma":[0.9995559,0.0002188947,0.00007364304,0.00004168135,0.00009334564,0.000016607612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004883357,0.00039336985,0.00031039352,0.00042082084,0.00042204958,0.0010967352,0.0011157288,0.0003968507,0.001584645],"category_scores_gemma":[0.0016083714,0.00035995242,0.00019662085,0.0005024617,0.000477539,0.0012187115,0.00052433414,0.0003658187,0.0002316343],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00081573584,0.00020809865,0.0036482173,0.0003001952,0.00007838988,0.0003063596,0.00031893808,0.27895394,0.3151241,0.027665561,0.0021988812,0.3703816],"study_design_scores_gemma":[0.00010696849,0.00046624034,0.0018173615,0.00003592634,0.00008023398,0.00044631324,0.0001351199,0.75248826,0.23193902,0.0065142326,0.0059185117,0.00005184313],"about_ca_topic_score_codex":0.0015385433,"about_ca_topic_score_gemma":0.0040404946,"teacher_disagreement_score":0.001584645,"about_ca_system_score_codex":0.00064372574,"about_ca_system_score_gemma":0.0006748324,"threshold_uncertainty_score":0.0053011775},"labels":[],"label_agreement":null},{"id":"W4402737902","doi":"10.1016/j.etran.2024.100364","title":"Battery engineering safety technologies (BEST): M5 framework of mechanisms, modes, metrics, modeling, and mitigation","year":2024,"lang":"en","type":"article","venue":"eTransportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Computer science; Engineering; Systems engineering; Reliability engineering","score_opus":0.010219234506590754,"score_gpt":0.2450317890923634,"score_spread":0.23481255458577263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402737902","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021208983,0.00053691433,0.94052887,0.001332598,0.00013884426,0.00018414132,0.0016075702,0.002909607,0.0506406],"genre_scores_gemma":[0.15181987,0.0019788505,0.80813605,0.0009440414,0.00031538395,0.0009070074,0.005120095,0.0012458828,0.02953279],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9970196,0.00090130896,0.00023529299,0.00030068785,0.0013109853,0.00023203735],"domain_scores_gemma":[0.9980652,0.00033357885,0.00024471595,0.00045341416,0.000776377,0.00012675238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028920125,0.001780966,0.00081675325,0.003704413,0.0011048206,0.0049387775,0.003970525,0.0027668865,0.009786047],"category_scores_gemma":[0.005084589,0.0006589467,0.0020353487,0.0019234336,0.0015823834,0.0046593673,0.0050193896,0.002428198,0.0043227565],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002104989,0.00004640346,0.0005840111,0.000190871,0.000050128572,0.00006151277,0.000129976,0.05548086,0.00068803126,0.89460385,0.012870063,0.035273302],"study_design_scores_gemma":[0.000020949881,0.00007881875,0.00043004923,0.0004199938,0.00008496079,0.00015668644,0.00015672111,0.24102633,0.0027983745,0.52902997,0.22574826,0.00004884162],"about_ca_topic_score_codex":0.0121759325,"about_ca_topic_score_gemma":0.011968826,"teacher_disagreement_score":0.0121759325,"about_ca_system_score_codex":0.002891805,"about_ca_system_score_gemma":0.0056633926,"threshold_uncertainty_score":0.032737553},"labels":[],"label_agreement":null},{"id":"W4402811926","doi":"10.1109/intelec60315.2024.10678954","title":"Thermal Characterization of Current and Next-Generation Lithium-ion Battery for E-mobility Applications","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Characterization (materials science); Lithium (medication); Materials science; Battery (electricity); Lithium-ion battery; Computer science; Current (fluid); Thermal; Optoelectronics; Electrical engineering; Nanotechnology; Engineering; Physics; Thermodynamics","score_opus":0.05256581494900015,"score_gpt":0.3093774094350373,"score_spread":0.25681159448603713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402811926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9745909,0.0025089188,0.013891984,0.00014892683,0.00009231957,0.000110927365,0.0016988129,0.0002838154,0.00667327],"genre_scores_gemma":[0.9921136,0.0008373045,0.0027952797,0.000048864767,0.000012672145,0.00012803344,0.00075125997,0.000036050245,0.0032770436],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998099,0.000011751345,0.000015205601,0.000031145937,0.00011148239,0.000020543337],"domain_scores_gemma":[0.9998191,0.000023138447,0.0000167134,0.00001473136,0.00011605648,0.000010294312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025767676,0.00029000101,0.00026043662,0.0005216676,0.00030350767,0.000323749,0.00037062023,0.00034987746,0.0020278608],"category_scores_gemma":[0.00040173696,0.00010908555,0.00019892975,0.00043914287,0.00016469976,0.0005664623,0.0001578954,0.00020571651,0.0005858255],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013076041,0.000030509811,0.0018889329,0.00020184273,0.000008192026,0.0001069686,0.00016182227,0.0010943158,0.983933,0.0002598944,0.00056353095,0.0116203055],"study_design_scores_gemma":[0.000008131292,0.00028042015,0.011293063,0.00002883662,0.000019638703,0.00026462844,0.00027288726,0.009403044,0.9702336,0.0001746292,0.007994006,0.00002705467],"about_ca_topic_score_codex":0.0008495613,"about_ca_topic_score_gemma":0.001864989,"teacher_disagreement_score":0.0020278608,"about_ca_system_score_codex":0.00027486763,"about_ca_system_score_gemma":0.00024475288,"threshold_uncertainty_score":0.0067839026},"labels":[],"label_agreement":null},{"id":"W4402857930","doi":"10.1016/j.est.2024.113941","title":"Battery temperature estimation at wide C-rates using the LSTM model based on polarization characteristics","year":2024,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Polarization (electrochemistry); Estimation; Computer science; Engineering; Chemistry","score_opus":0.014013289246389013,"score_gpt":0.26280007838077724,"score_spread":0.24878678913438823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402857930","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26904312,0.001093023,0.72129416,0.00039410265,0.00020604541,0.000048638758,0.00037784385,0.0020470193,0.0054959916],"genre_scores_gemma":[0.9727014,0.0003505953,0.024732811,0.00008392881,0.000025554838,0.00005150712,0.00028311225,0.00006380809,0.0017073498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992657,0.000009099203,0.000004695062,0.00002829911,0.000018564886,0.000012752149],"domain_scores_gemma":[0.9998883,0.00003164982,0.000013803424,0.000011570086,0.000049755323,0.0000048889733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017585118,0.0005733556,0.00031901954,0.00023356103,0.0001899846,0.0004174204,0.00058957055,0.00046942983,0.00085491646],"category_scores_gemma":[0.00068060006,0.00021581234,0.00044373694,0.00032554104,0.00020345568,0.0010260894,0.00032259608,0.0008107866,0.00034764726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025675556,0.00010033035,0.005465088,0.00019638446,0.00011271604,0.00022736265,0.00015740436,0.69411504,0.07144411,0.0018018287,0.0021475195,0.2239754],"study_design_scores_gemma":[0.0000024103244,0.000019404359,0.0007005788,0.0000063765883,0.000009706849,0.000021737136,0.000010130112,0.9904897,0.0077417544,0.00067528937,0.00031617048,0.0000066335756],"about_ca_topic_score_codex":0.003783541,"about_ca_topic_score_gemma":0.0044907033,"teacher_disagreement_score":0.003783541,"about_ca_system_score_codex":0.0003528585,"about_ca_system_score_gemma":0.00036989152,"threshold_uncertainty_score":0.00752306},"labels":[],"label_agreement":null},{"id":"W4402900247","doi":"10.1016/j.eiar.2024.107680","title":"Assessment of life cycle environmental impacts of materials, driving pattern, and climatic conditions on battery electric and hydrogen fuel cell vehicles in a cold region","year":2024,"lang":"en","type":"article","venue":"Environmental Impact Assessment Review","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Life-cycle assessment; Battery (electricity); Environmental science; Cold climate; Fuel cells; Environmental impact assessment; Environmental engineering; Waste management; Engineering; Meteorology; Geography; Ecology; Chemical engineering; Production (economics)","score_opus":0.009423153716648645,"score_gpt":0.2920322827023917,"score_spread":0.28260912898574303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402900247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99445903,0.000057471163,0.0030729433,0.00004360728,0.0000034785412,0.00007499485,0.00079485343,0.000016530477,0.0014770695],"genre_scores_gemma":[0.9976255,0.000053403106,0.001519897,0.000006891332,0.0000010788011,0.00002627489,0.00045931,0.0000039243464,0.00030373625],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965954,0.000087414635,0.000010736921,0.00005265966,0.000069386035,0.00012025487],"domain_scores_gemma":[0.99964046,0.00011831351,0.00006525175,0.00002120504,0.000111547284,0.000043139262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094776443,0.0008485783,0.00035600038,0.00095399877,0.00040297757,0.00084981025,0.0006437126,0.0006127756,0.00066868355],"category_scores_gemma":[0.0006905158,0.00030138774,0.0014301384,0.00078201375,0.00045663246,0.0006107981,0.00062957045,0.0003213143,0.000077239296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021778274,0.00019887107,0.15493515,0.000085204796,0.000279784,0.00047744147,0.00013382435,0.8253578,0.009465828,0.0013189034,0.000266702,0.007262718],"study_design_scores_gemma":[0.00003251321,0.0005685176,0.2606138,0.000023206007,0.0002183501,0.000086865104,0.0011291733,0.7293907,0.0054941424,0.0011382253,0.0012481459,0.000056391214],"about_ca_topic_score_codex":0.21984929,"about_ca_topic_score_gemma":0.23598692,"teacher_disagreement_score":0.21984929,"about_ca_system_score_codex":0.0032762215,"about_ca_system_score_gemma":0.002189319,"threshold_uncertainty_score":0.43713927},"labels":[],"label_agreement":null},{"id":"W4402980634","doi":"10.1016/j.applthermaleng.2024.124499","title":"An efficient two-stage heating strategy for embedded heat pipe system considering power and energy requirements from battery","year":2024,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Automotive engineering; Power (physics); Energy (signal processing); Stage (stratigraphy); Mechanical engineering; Engineering; Thermodynamics","score_opus":0.016795383989759424,"score_gpt":0.26059463734953525,"score_spread":0.2437992533597758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402980634","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21768865,0.0006247094,0.7671446,0.0001602229,0.00011405266,0.00012635005,0.000054187276,0.0006099282,0.013477275],"genre_scores_gemma":[0.97778636,0.000078618665,0.019192303,0.000015196801,0.000010748239,0.000036968806,0.000019877003,0.000015595582,0.002844287],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992216,0.000010076236,0.0000037117711,0.000024631434,0.000022964956,0.000016463073],"domain_scores_gemma":[0.999961,0.000011533228,0.000004601588,0.0000053738627,0.000012625225,0.000004736243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010754249,0.00040602082,0.00049397635,0.00014303505,0.00040413867,0.00042330349,0.0006576333,0.00034224123,0.002486072],"category_scores_gemma":[0.00010539429,0.00022995114,0.00032148007,0.00015716418,0.00017534119,0.00062992756,0.00039228253,0.00025446434,0.0002403441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006555654,0.00023042694,0.0015603777,0.00074045203,0.000071293,0.00041900063,0.00028804,0.37952122,0.45203465,0.009509546,0.002066922,0.15290251],"study_design_scores_gemma":[0.000022178969,0.00029677904,0.00065801403,0.0000073003976,0.000024830762,0.00006390348,0.00004705351,0.96712875,0.029130388,0.001061667,0.0015431092,0.000015990945],"about_ca_topic_score_codex":0.0006866912,"about_ca_topic_score_gemma":0.0017184607,"teacher_disagreement_score":0.002486072,"about_ca_system_score_codex":0.0002005952,"about_ca_system_score_gemma":0.0003122908,"threshold_uncertainty_score":0.008316755},"labels":[],"label_agreement":null},{"id":"W4403074995","doi":"10.2139/ssrn.4974050","title":"Transformer-Based Transfer Learning for Battery State-of-Health Estimation","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Transformer; Transfer of learning; Estimation; State of health; Computer science; State (computer science); Battery (electricity); Business; Reliability engineering; Electrical engineering; Engineering; Artificial intelligence; Algorithm; Physics","score_opus":0.01646101671314336,"score_gpt":0.2953381779206592,"score_spread":0.2788771612075158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403074995","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008546074,0.00026805943,0.9894121,0.000067191424,0.00003308626,0.00002410939,0.00006794359,0.0007464368,0.00083504413],"genre_scores_gemma":[0.8799564,0.00050646026,0.11253589,0.00014098802,0.000084430045,0.0001319368,0.0005220041,0.00016748875,0.005954247],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975187,0.00007063104,0.000016412492,0.00006499765,0.00006079063,0.000035293346],"domain_scores_gemma":[0.99916816,0.0005315475,0.00004722306,0.0000815564,0.00015247804,0.00001915461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009250645,0.0005912765,0.0008182356,0.00039287758,0.00023488622,0.00053947035,0.0008955056,0.0008189607,0.0038140102],"category_scores_gemma":[0.0037510314,0.000274162,0.0005391987,0.0006238965,0.00039085417,0.0010252232,0.0009807864,0.0012205604,0.0015029581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033544961,0.00012558114,0.0007865914,0.00021897354,0.00007083205,0.00006504274,0.00006117033,0.46007112,0.009550073,0.007123639,0.0035345966,0.5180569],"study_design_scores_gemma":[0.000004920942,0.000019590338,0.00015959165,0.0000057593343,0.000007041077,0.000022155087,0.0000044960807,0.9937854,0.0019132807,0.0037365132,0.00033631874,0.0000048873426],"about_ca_topic_score_codex":0.0038455748,"about_ca_topic_score_gemma":0.0027532317,"teacher_disagreement_score":0.0038455748,"about_ca_system_score_codex":0.0004135859,"about_ca_system_score_gemma":0.0007217519,"threshold_uncertainty_score":0.012759149},"labels":[],"label_agreement":null},{"id":"W4403085896","doi":"10.1016/j.est.2024.113963","title":"Optimal design and control of battery-ultracapacitor hybrid energy storage system for BEV operating at extreme temperatures","year":2024,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Supercapacitor; Battery (electricity); Energy storage; Automotive engineering; Control (management); Energy (signal processing); Environmental science; Computer science; Engineering; Chemistry; Power (physics); Physics; Capacitance","score_opus":0.017051827598539855,"score_gpt":0.236510089133556,"score_spread":0.21945826153501616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403085896","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21805455,0.0019699305,0.7385927,0.0008045245,0.0002564225,0.0003116107,0.00034436677,0.00064322347,0.039022632],"genre_scores_gemma":[0.9906821,0.00022705652,0.006654106,0.000039631075,0.000011947461,0.00013267135,0.000054022017,0.0000150112755,0.0021833982],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996971,0.000054922562,0.000016778942,0.00008105549,0.00008656508,0.00006364498],"domain_scores_gemma":[0.99973565,0.00008055102,0.00005814712,0.000010773855,0.00009488224,0.000019998102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005203486,0.00092441385,0.00091270934,0.00032053352,0.00060519716,0.0016978105,0.00086690974,0.0007266589,0.0018173048],"category_scores_gemma":[0.0006956931,0.0005445212,0.0005659644,0.00030234436,0.0006431291,0.00047462506,0.0008114607,0.00073889835,0.00026295034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013236956,0.00003320376,0.0005327025,0.00011717187,0.00003266667,0.00009952406,0.000060389728,0.9813672,0.006363593,0.001960592,0.00059709884,0.008703547],"study_design_scores_gemma":[0.000012781214,0.000054850272,0.000189893,0.00000518163,0.000010116897,0.000006001791,0.000021978882,0.9982508,0.0007058467,0.0004489342,0.00028861657,0.000004992857],"about_ca_topic_score_codex":0.009120732,"about_ca_topic_score_gemma":0.0074091554,"teacher_disagreement_score":0.009120732,"about_ca_system_score_codex":0.0008336849,"about_ca_system_score_gemma":0.001303916,"threshold_uncertainty_score":0.01813531},"labels":[],"label_agreement":null},{"id":"W4403123220","doi":"10.1109/access.2024.3473896","title":"An Improved ECM-Based State-of-Charge Estimation for SLA and LFP Batteries Used in Low-Cost Agricultural Mobile Robots","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Innovation and Economic Development Trois Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Mobile robot; Robot; Computer science; State of charge; State (computer science); Agriculture; Estimation; Charge (physics); Artificial intelligence; Engineering; Physics; Systems engineering; Battery (electricity); Algorithm; Geography","score_opus":0.020119050389240375,"score_gpt":0.3270056222444431,"score_spread":0.3068865718552027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403123220","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059046194,0.0004315203,0.9298507,0.0001846851,0.00010193572,0.00008914323,0.00034916366,0.0040463484,0.0059003243],"genre_scores_gemma":[0.9514,0.00020145955,0.045480207,0.00008840595,0.00001882494,0.00008235281,0.00029133356,0.000067692235,0.0023696607],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977607,0.000031648684,0.000019076399,0.000048861155,0.00010678141,0.000017619646],"domain_scores_gemma":[0.99972445,0.000075615004,0.000038206515,0.000036344816,0.00011740321,0.0000078797975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022731262,0.00064446306,0.00048656788,0.0004852289,0.000250073,0.00068352744,0.00077230006,0.00044392524,0.0020087021],"category_scores_gemma":[0.0010388538,0.00020188924,0.00036947284,0.00036819876,0.0001510042,0.0010046556,0.000417843,0.00038423107,0.0006299402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040249515,0.00016789898,0.0074120117,0.0005387231,0.000095860945,0.00054370903,0.00021141976,0.4834325,0.06471699,0.003496905,0.0053242883,0.43365717],"study_design_scores_gemma":[0.000012210414,0.000063224674,0.0010876191,0.000014717759,0.000017758799,0.00009387302,0.00002100916,0.983796,0.012026265,0.000733226,0.002118622,0.00001541411],"about_ca_topic_score_codex":0.0038888166,"about_ca_topic_score_gemma":0.004546921,"teacher_disagreement_score":0.0038888166,"about_ca_system_score_codex":0.00042935336,"about_ca_system_score_gemma":0.00035084627,"threshold_uncertainty_score":0.0077323318},"labels":[],"label_agreement":null},{"id":"W4403125882","doi":"10.1109/pesgm51994.2024.10688749","title":"Optimal Electrochemical Model Parameters Identification for Utility-Scale PEM Electrolyzers","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Identification (biology); Proton exchange membrane fuel cell; Scale (ratio); Electrochemistry; Computer science; Process engineering; Fuel cells; Chemical engineering; Chemistry; Engineering; Electrode","score_opus":0.01834196297461135,"score_gpt":0.2848892323969541,"score_spread":0.26654726942234275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403125882","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19279332,0.00042652275,0.80251634,0.00018596067,0.00002153577,0.00007185632,0.00016259284,0.00040880946,0.003412945],"genre_scores_gemma":[0.96328425,0.00015756232,0.035622843,0.000018536371,0.000003929608,0.00009019569,0.00010274387,0.000019677276,0.0007002483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999879,0.000035917554,0.00001047242,0.00003325362,0.000028820465,0.000012515452],"domain_scores_gemma":[0.9997205,0.00016106864,0.00004219314,0.00002536019,0.000044942215,0.0000059374183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004561428,0.0005888181,0.0005612992,0.00027451932,0.00026534082,0.0007559885,0.0004316019,0.0007334883,0.00052973896],"category_scores_gemma":[0.0014395823,0.00030062153,0.00038953326,0.00026641108,0.00030450354,0.00068538915,0.00042461112,0.0006562421,0.00014952426],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025572936,0.000020065883,0.000592398,0.000039105198,0.000010898816,0.000027077798,0.000024709014,0.9854628,0.0025834849,0.0006334408,0.00010379991,0.010476658],"study_design_scores_gemma":[0.0000030496494,0.000013857217,0.00023183766,0.0000025967631,0.0000026581051,0.000006618166,0.000010746914,0.9980977,0.0011487369,0.00035586022,0.00012306678,0.0000032344958],"about_ca_topic_score_codex":0.0045287306,"about_ca_topic_score_gemma":0.0035507188,"teacher_disagreement_score":0.0045287306,"about_ca_system_score_codex":0.00030535765,"about_ca_system_score_gemma":0.00061903783,"threshold_uncertainty_score":0.009004772},"labels":[],"label_agreement":null},{"id":"W4403203371","doi":"10.1016/j.est.2024.114066","title":"A mechanism-data driven resistance transfer algorithm for lithium-ion batteries and its application to thermal modeling","year":2024,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Key Technologies Research and Development Program; National Key Research and Development Program of China; Science and Technology Department of Guangxi Zhuang Autonomous; Guangdong Science and Technology Department; National Natural Science Foundation of China","keywords":"Mechanism (biology); Lithium (medication); Ion; Thermal; Computer science; Algorithm; Materials science; Chemistry; Thermodynamics; Physics","score_opus":0.023057163924165205,"score_gpt":0.2706008589799628,"score_spread":0.24754369505579757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403203371","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011972389,0.000101316225,0.9835137,0.00015486538,0.000039923052,0.000068376394,0.000049767088,0.00079468865,0.003304989],"genre_scores_gemma":[0.61179113,0.00022236179,0.37843117,0.00017502473,0.000044992914,0.000431367,0.00015721018,0.0005604617,0.008186344],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986744,0.000040351617,0.0000074539134,0.000024487661,0.00004506875,0.000015167255],"domain_scores_gemma":[0.999406,0.00034172487,0.000040578605,0.000066785135,0.00012098347,0.00002397979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006944653,0.0005942726,0.0008590299,0.00035857386,0.0007306841,0.0009313218,0.0019791573,0.0016002381,0.005985616],"category_scores_gemma":[0.0021682386,0.0004710754,0.0006683398,0.00043069912,0.0005118291,0.0012022612,0.0007410845,0.0011838356,0.00092689786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040019775,0.00004860372,0.00015421385,0.00003948087,0.000013068197,0.00003755812,0.000039868697,0.9674085,0.0022489324,0.01097707,0.0005353417,0.01845737],"study_design_scores_gemma":[0.000003067073,0.000003612307,0.000005974455,0.0000012476825,8.3656704e-7,0.0000028951777,0.0000014601541,0.998847,0.00014846696,0.0008546132,0.00012941592,0.0000014081994],"about_ca_topic_score_codex":0.0037459917,"about_ca_topic_score_gemma":0.0033846886,"teacher_disagreement_score":0.005985616,"about_ca_system_score_codex":0.00060084666,"about_ca_system_score_gemma":0.00112991,"threshold_uncertainty_score":0.020023882},"labels":[],"label_agreement":null},{"id":"W4403390587","doi":"10.1109/itherm55375.2024.10709539","title":"Predicting cell-to-cell thermal runaway propagation in modular battery energy storage systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Thermal runaway; Modular design; Battery (electricity); Computer science; Energy storage; Thermal; Electrical engineering; Nuclear engineering; Engineering; Physics; Power (physics)","score_opus":0.008090533499855139,"score_gpt":0.2157933794390628,"score_spread":0.20770284593920765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403390587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9659027,0.00017879238,0.03054,0.00011123048,0.000032453092,0.0000443133,0.00019995897,0.00019772176,0.0027928054],"genre_scores_gemma":[0.9981244,0.00004359796,0.001312012,0.0000098237,0.0000021412461,0.000013076518,0.000062061765,0.00001122287,0.0004216521],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999447,0.000011312796,0.000003492423,0.000012215449,0.000014213317,0.0000140836755],"domain_scores_gemma":[0.9996197,0.00023482695,0.000038367765,0.000024993276,0.00006129836,0.000020857127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003018179,0.0003673142,0.0003574021,0.00026660494,0.00037134648,0.00063891005,0.00047144436,0.000680603,0.0011734427],"category_scores_gemma":[0.0011168001,0.00021276416,0.00045932914,0.00025580905,0.0004119394,0.00066501397,0.00035403096,0.0004346487,0.00015794675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027844108,0.000025172503,0.0031224145,0.000022160382,0.0000067087026,0.000059501403,0.000020641213,0.99190825,0.002311605,0.0002434291,0.00012834628,0.0021238362],"study_design_scores_gemma":[0.0000021055143,0.00001996464,0.00065921945,0.0000017003446,0.0000022529364,0.0000070783735,0.000016902502,0.99849606,0.0006477637,0.00009200119,0.000052459407,0.000002477032],"about_ca_topic_score_codex":0.009601763,"about_ca_topic_score_gemma":0.0068582613,"teacher_disagreement_score":0.009601763,"about_ca_system_score_codex":0.00060998363,"about_ca_system_score_gemma":0.00047960092,"threshold_uncertainty_score":0.019091785},"labels":[],"label_agreement":null},{"id":"W4403391414","doi":"10.1109/tim.2024.3480208","title":"Theoretical Performance Bound and Its Experimental Validation of Battery Capacity Estimates in Rechargeable Batteries","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Battery capacity; Computer science; Automotive engineering; Engineering; Reliability engineering; Power (physics); Physics","score_opus":0.04679257311946141,"score_gpt":0.27649955545334354,"score_spread":0.22970698233388212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403391414","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35341972,0.004725488,0.61508036,0.0006599096,0.0003443508,0.00034543782,0.0015768077,0.003324718,0.020523198],"genre_scores_gemma":[0.96678835,0.00081495347,0.030321196,0.000071846414,0.00003196693,0.00014378777,0.0006504735,0.000109400375,0.001068109],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99589396,0.0006787161,0.00026371208,0.00041788298,0.0025088885,0.00023682123],"domain_scores_gemma":[0.9908937,0.004465641,0.00061305315,0.0011152519,0.0028418587,0.000070484064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037100597,0.0007801928,0.00065180194,0.0013002892,0.00061885314,0.0012348108,0.001846314,0.0014204268,0.0018635509],"category_scores_gemma":[0.020037822,0.00025830153,0.0003961265,0.0013306261,0.0010355257,0.0014231991,0.0013527812,0.000789939,0.00080659805],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009302558,0.0003798384,0.0058017476,0.001620204,0.00007966038,0.00067914376,0.001161058,0.60790205,0.23143607,0.017569417,0.0031386795,0.12930194],"study_design_scores_gemma":[0.00004318461,0.000926072,0.003993634,0.00020829945,0.000038635975,0.00033730804,0.00033456518,0.5770414,0.40676433,0.0035506554,0.0066380566,0.00012375342],"about_ca_topic_score_codex":0.0025590833,"about_ca_topic_score_gemma":0.0012346538,"teacher_disagreement_score":0.0037100597,"about_ca_system_score_codex":0.0010430655,"about_ca_system_score_gemma":0.0005480053,"threshold_uncertainty_score":0.019620895},"labels":[],"label_agreement":null},{"id":"W4403415088","doi":"10.36227/techrxiv.172902860.00144783/v1","title":"Robust Battery State-of-Charge Estimation in Presence of Model Uncertainties Using KalmanNet","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; HORIZON EUROPE Framework Programme; European Commission; Jaguar Land Rover; McMaster University","keywords":"State of charge; State (computer science); Battery (electricity); Estimation; Charge (physics); Computer science; Physics; Engineering; Algorithm; Power (physics); Thermodynamics; Systems engineering","score_opus":0.06776414417159997,"score_gpt":0.3098213825734861,"score_spread":0.24205723840188614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403415088","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05871242,0.00040587227,0.93802243,0.000106407875,0.00004876449,0.000027272006,0.0000750261,0.00087968574,0.0017221004],"genre_scores_gemma":[0.9549115,0.000241772,0.04297758,0.000034581724,0.00003249071,0.000066945024,0.00020390507,0.00004815876,0.0014830952],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998079,0.000037537222,0.000015638281,0.00005956714,0.00005371511,0.00002568816],"domain_scores_gemma":[0.9995136,0.00025119714,0.00006203066,0.000047854155,0.000115428804,0.00000973257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054913544,0.00068253605,0.00080591196,0.00029211774,0.00029043402,0.0006214532,0.0005852936,0.00066084036,0.00072811986],"category_scores_gemma":[0.00170001,0.00037877003,0.00041970194,0.00032643112,0.0004034725,0.0010237636,0.0005296357,0.0006790277,0.0002273605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071877774,0.000015267902,0.00078225054,0.00006245677,0.000035307705,0.00003854785,0.000037862665,0.95474756,0.0034263595,0.0014253105,0.0002714841,0.03908571],"study_design_scores_gemma":[0.000002703987,0.000008261143,0.000223191,0.0000029035011,0.0000036244887,0.000005585575,0.000002794454,0.9981559,0.0009987509,0.000452686,0.00014021814,0.0000034442526],"about_ca_topic_score_codex":0.015537281,"about_ca_topic_score_gemma":0.010695423,"teacher_disagreement_score":0.015537281,"about_ca_system_score_codex":0.00048423134,"about_ca_system_score_gemma":0.00089212245,"threshold_uncertainty_score":0.030893683},"labels":[],"label_agreement":null},{"id":"W4403452967","doi":"10.1088/1742-6596/2853/1/012057","title":"An improved relative integral capacity-K-means clustering method for capacity pre-sorting of decommissioned power batteries","year":2024,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; Ministère de l'Économie, de l’Innovation et des Exportations du Québec; Robert Gordon University","keywords":"Sorting; Cluster analysis; Power (physics); Environmental science; Computer science; Mathematics; Statistics; Physics; Algorithm; Thermodynamics","score_opus":0.03958926180985834,"score_gpt":0.3286566422176094,"score_spread":0.28906738040775104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403452967","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031069962,0.0003465503,0.96412694,0.00011532375,0.00007867442,0.00011237812,0.00017202242,0.0017857443,0.002192399],"genre_scores_gemma":[0.40648004,0.00036859204,0.5870959,0.00012874548,0.00007265966,0.00027302752,0.000951802,0.00043215585,0.0041970494],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986442,0.00014464125,0.0001201914,0.00031006982,0.00064015784,0.00014071472],"domain_scores_gemma":[0.9985752,0.00018640044,0.00011417644,0.00014853218,0.00092118495,0.000054589855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084836694,0.0011547167,0.0011191916,0.003033184,0.0011150282,0.0011482215,0.0018618717,0.00082844973,0.0019339076],"category_scores_gemma":[0.003016694,0.00047184207,0.0011062546,0.0021519135,0.0005495973,0.0015636582,0.00092696317,0.00093030406,0.000874621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037242402,0.00017639442,0.004996121,0.00038675944,0.00016618468,0.000136489,0.00058588624,0.24061614,0.039817598,0.00853753,0.007380427,0.696828],"study_design_scores_gemma":[0.000020655554,0.000049967934,0.0021288057,0.00002341233,0.000033837765,0.00006580028,0.00014884345,0.9730601,0.017453998,0.0032306227,0.0037182714,0.00006571237],"about_ca_topic_score_codex":0.0191171,"about_ca_topic_score_gemma":0.014021409,"teacher_disagreement_score":0.0191171,"about_ca_system_score_codex":0.001323081,"about_ca_system_score_gemma":0.0024858082,"threshold_uncertainty_score":0.03801161},"labels":[],"label_agreement":null},{"id":"W4403482123","doi":"10.1016/j.jpowsour.2024.235601","title":"Regression based battery state of health estimation for multiple electric vehicle fast charging protocols","year":2024,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Automotive engineering; Electric vehicle; Estimation; State of health; State (computer science); Computer science; Engineering; Power (physics); Algorithm; Physics; Thermodynamics","score_opus":0.022873442921587207,"score_gpt":0.32593014212365645,"score_spread":0.30305669920206924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403482123","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.355555,0.0016371846,0.62932235,0.0004511927,0.0001602878,0.00020757664,0.0053061703,0.0042741867,0.0030860784],"genre_scores_gemma":[0.9354224,0.000350162,0.05422319,0.000086809276,0.000052975698,0.00020404629,0.006656105,0.000086233835,0.0029180155],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973303,0.0000639274,0.000019855182,0.00010055828,0.000051281597,0.000031286374],"domain_scores_gemma":[0.99929655,0.00034322176,0.00008385086,0.00008208237,0.00017916645,0.000015139842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072000147,0.00069891644,0.00056398433,0.0006840211,0.00013668816,0.00047594277,0.0008812593,0.0004846809,0.0011322508],"category_scores_gemma":[0.0028081522,0.00019018071,0.00049135333,0.0006103823,0.00013433071,0.0005575335,0.00036794296,0.00069129904,0.0005732158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031099032,0.00024083974,0.016553137,0.00023838783,0.00017005512,0.0001434479,0.00005625585,0.7463744,0.006796221,0.0010292085,0.004628511,0.22345862],"study_design_scores_gemma":[0.000007951656,0.0000435411,0.0039054004,0.000008372336,0.000014063585,0.000031344403,0.000015637379,0.99262214,0.001945541,0.000565071,0.00083151885,0.0000094819],"about_ca_topic_score_codex":0.0075609,"about_ca_topic_score_gemma":0.006911375,"teacher_disagreement_score":0.0075609,"about_ca_system_score_codex":0.000381621,"about_ca_system_score_gemma":0.00041596717,"threshold_uncertainty_score":0.0150337815},"labels":[],"label_agreement":null},{"id":"W4403528152","doi":"10.1149/1945-7111/ad88a8","title":"The Complex and Spatially Heterogeneous Nature of Degradation in Heavily Cycled Li-ion Cells","year":2024,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation; National Research Council","keywords":"Degradation (telecommunications); Ion; Materials science; Chemical engineering; Chemistry; Environmental chemistry; Engineering physics; Environmental science; Computer science; Physics; Engineering; Telecommunications; Organic chemistry","score_opus":0.007183115791743544,"score_gpt":0.24979691721141775,"score_spread":0.2426138014196742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403528152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959371,0.0002918355,0.0023400725,0.00004579337,0.0000070056176,0.000013467285,0.00030370176,0.00006528774,0.0009957674],"genre_scores_gemma":[0.99716824,0.00017673279,0.0017635204,0.000026533326,0.000001822935,0.00001422535,0.00022543564,0.000013906016,0.00060958107],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982506,0.0000078858075,0.000011695219,0.0000483551,0.00008722914,0.000019806324],"domain_scores_gemma":[0.99979764,0.000046478315,0.000031740892,0.000025284528,0.00008871037,0.000010291638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001534993,0.00015231453,0.00037836854,0.00025918346,0.0002725488,0.0005639513,0.00029474404,0.00034843964,0.000713109],"category_scores_gemma":[0.00040690284,0.00015173425,0.00013761684,0.00047588785,0.0004390093,0.0003926806,0.00017208142,0.00028273513,0.00012835422],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013403092,0.000054524902,0.010479344,0.00013064708,0.000020844629,0.00030267975,0.00022181343,0.007341345,0.9723102,0.0002557841,0.000246769,0.008502123],"study_design_scores_gemma":[0.000023364093,0.0002912925,0.061863825,0.000018444467,0.000025892467,0.00053132424,0.0006165027,0.030036325,0.9021224,0.00035921283,0.0040697195,0.000041653424],"about_ca_topic_score_codex":0.0039032488,"about_ca_topic_score_gemma":0.0065897754,"teacher_disagreement_score":0.0039032488,"about_ca_system_score_codex":0.00050178065,"about_ca_system_score_gemma":0.0002339843,"threshold_uncertainty_score":0.007761061},"labels":[],"label_agreement":null},{"id":"W4403559343","doi":"10.1016/j.est.2024.114091","title":"Effect of module configurations on the performance of parallel-connected lithium-ion battery modules","year":2024,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"National Natural Science Foundation of China","keywords":"Lithium (medication); Battery (electricity); Lithium-ion battery; Ion; Computer science; Automotive engineering; Electrical engineering; Engineering; Physics; Psychology; Power (physics); Thermodynamics","score_opus":0.010160634575828519,"score_gpt":0.2445453571040132,"score_spread":0.23438472252818468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403559343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973054,0.00031552126,0.0010306232,0.00003394869,0.00004366679,0.000007309858,0.00018800522,0.00015980983,0.0009157763],"genre_scores_gemma":[0.99901223,0.00008485704,0.00024032661,0.0000166909,0.000008917098,0.0000048911875,0.00015552831,0.00003968652,0.0004367702],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996234,0.00006691252,0.000038036047,0.000083891726,0.000074537755,0.00011317885],"domain_scores_gemma":[0.998145,0.00072157435,0.00023645483,0.00019467891,0.0005402451,0.00016211752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040321142,0.00078351714,0.0005944694,0.00044685087,0.0004363431,0.0006547462,0.00093331333,0.00075278303,0.004480119],"category_scores_gemma":[0.0019925314,0.00036387044,0.00035479842,0.0006728843,0.00033262582,0.0014761258,0.0004922567,0.00042871002,0.0007903452],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.011554186,0.00045352767,0.009908436,0.0008418175,0.00032062884,0.0009728487,0.00035725776,0.050298993,0.87788665,0.00040066947,0.001637586,0.04536737],"study_design_scores_gemma":[0.00013110394,0.0044048917,0.02358033,0.00007991555,0.00040523746,0.00075682375,0.0003391202,0.031540167,0.9365772,0.00030825633,0.0017996312,0.00007730715],"about_ca_topic_score_codex":0.00039731705,"about_ca_topic_score_gemma":0.0005320239,"teacher_disagreement_score":0.004480119,"about_ca_system_score_codex":0.00029737668,"about_ca_system_score_gemma":0.00020954717,"threshold_uncertainty_score":0.014987528},"labels":[],"label_agreement":null},{"id":"W4403560254","doi":"10.1016/j.jpowsour.2024.235632","title":"Design and performance of a compact lightweight hybrid thermal management system using phase change material and liquid cooling with a honeycomb-like structure for prismatic lithium-ion batteries","year":2024,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Postdoctoral Program for Innovative Talents; Natural Science Foundation of Shandong Province; National Natural Science Foundation of China; Shandong University","keywords":"Computer cooling; Honeycomb; Phase-change material; Lithium (medication); Materials science; Thermal; Thermal management of electronic devices and systems; Phase (matter); Phase change; Honeycomb structure; Ion; Composite material; Liquid phase; Composite number; Nuclear engineering; Mechanical engineering; Engineering; Chemistry; Engineering physics; Thermodynamics; Physics","score_opus":0.019052325885458264,"score_gpt":0.25464897934845315,"score_spread":0.23559665346299488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403560254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86775845,0.0005250193,0.12509689,0.00016546293,0.00008970457,0.00007751462,0.00013064491,0.00093528256,0.005220937],"genre_scores_gemma":[0.9872822,0.000050208724,0.010825411,0.000022930697,0.000008723828,0.000029618319,0.00004270752,0.000019113451,0.0017191907],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990857,0.000012288559,0.000004989163,0.000022080376,0.00003999578,0.000011990657],"domain_scores_gemma":[0.9998975,0.000015308891,0.00002449634,0.000012425369,0.00003868766,0.000011453513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001214894,0.00021144742,0.00040738084,0.00015205551,0.00029266966,0.00032662658,0.0007329289,0.00024962897,0.0014158268],"category_scores_gemma":[0.00011284472,0.00014320332,0.0001994625,0.00013979115,0.00015621084,0.0004122322,0.00022029085,0.00012725424,0.0002920943],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055682845,0.00013356644,0.0013810023,0.00025120593,0.00007195277,0.00021652103,0.00007790513,0.027932415,0.92240494,0.00097096077,0.0011874534,0.04481526],"study_design_scores_gemma":[0.00019061822,0.003268145,0.007723521,0.000018981993,0.00015414447,0.0005469293,0.00010530582,0.49483815,0.48378125,0.00041096623,0.008880723,0.000081322985],"about_ca_topic_score_codex":0.00043467424,"about_ca_topic_score_gemma":0.00078537734,"teacher_disagreement_score":0.0014158268,"about_ca_system_score_codex":0.00024949262,"about_ca_system_score_gemma":0.000318136,"threshold_uncertainty_score":0.004736364},"labels":[],"label_agreement":null},{"id":"W4403583696","doi":"10.1080/19427867.2024.2415753","title":"Electric vehicles in emergencies and evacuations: a review of resilience and future research directions","year":2024,"lang":"en","type":"review","venue":"Transportation Letters","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Government of Canada; Canada First Research Excellence Fund; University of Alberta; Government of Alberta","keywords":"Resilience (materials science); Aeronautics; Forensic engineering; Engineering; Physics","score_opus":0.04843565830948617,"score_gpt":0.3764140418539564,"score_spread":0.32797838354447023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403583696","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000088704444,0.99907124,0.000060948056,0.00028829926,0.000088294095,0.0000047048948,0.000018691511,0.0000026340872,0.00037642624],"genre_scores_gemma":[0.0006905716,0.9989605,0.00009105131,0.00011257413,0.000053250453,0.0000046115088,0.000012255794,7.503238e-7,0.000074333904],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993723,0.00015630329,0.00016502966,0.000092664224,0.00016827688,0.000045553177],"domain_scores_gemma":[0.9964803,0.00266221,0.0003138066,0.000049687842,0.00041642142,0.00007756422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017074471,0.00083427026,0.0014225222,0.0045797857,0.00037294332,0.001572558,0.00090897543,0.0012833201,0.0048931823],"category_scores_gemma":[0.0038661943,0.0003927525,0.0015539747,0.004568722,0.00058005657,0.0022178865,0.0007971339,0.001333375,0.00079142634],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008194295,0.00007236725,0.0005277082,0.16865116,0.00037853234,0.00016172366,0.00028783313,0.0006138175,0.0005152116,0.0065167584,0.018149527,0.8040435],"study_design_scores_gemma":[0.000026812759,0.00018767487,0.00244842,0.12945333,0.0014742863,0.0010252644,0.0005081187,0.00019717644,0.00033736692,0.004651505,0.8596449,0.000045268353],"about_ca_topic_score_codex":0.0031371792,"about_ca_topic_score_gemma":0.006025983,"teacher_disagreement_score":0.0048931823,"about_ca_system_score_codex":0.001004425,"about_ca_system_score_gemma":0.0040164976,"threshold_uncertainty_score":0.016369343},"labels":[],"label_agreement":null},{"id":"W4403600728","doi":"10.1109/tte.2024.3483973","title":"An Unsupervised Domain Adaptation Framework for Cross-Conditions State of Charge Estimation of Lithium-Ion Batteries","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Lithium (medication); Adaptation (eye); Estimation; Ion; State (computer science); Domain (mathematical analysis); Charge (physics); Computer science; Domain adaptation; Materials science; Artificial intelligence; Algorithm; Physics; Mathematics; Psychology; Engineering; Optics; Systems engineering; Quantum mechanics","score_opus":0.01892189217811361,"score_gpt":0.30795324426716114,"score_spread":0.2890313520890475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403600728","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027831864,0.00039651192,0.9694138,0.00010240542,0.00003845767,0.000026239486,0.0000837966,0.0006504851,0.0014565153],"genre_scores_gemma":[0.87237245,0.00045375605,0.12193931,0.00019808716,0.00006927197,0.00011777997,0.0005645242,0.00013796505,0.0041468935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998049,0.0000498511,0.000009925726,0.000065824046,0.000042526277,0.000027047052],"domain_scores_gemma":[0.9997683,0.00008165108,0.00003601208,0.00003295307,0.00006743063,0.0000136540775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055727636,0.00066455815,0.00054164417,0.0004051151,0.00019566985,0.00047786112,0.00096788094,0.0005516804,0.0009913901],"category_scores_gemma":[0.0012649543,0.00031528928,0.0006084684,0.00039300945,0.00039826948,0.0007350606,0.0007700414,0.00091242674,0.00036211265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012468846,0.00006525278,0.0021649038,0.000067755485,0.000075689204,0.00012888337,0.00008818359,0.8367549,0.007872084,0.005086789,0.0021365478,0.1454343],"study_design_scores_gemma":[0.0000020241516,0.000010545816,0.00019153595,0.0000028059178,0.000003720046,0.000019037418,0.000004844434,0.9971215,0.0010090829,0.0013169422,0.00031399238,0.0000040205873],"about_ca_topic_score_codex":0.0036731616,"about_ca_topic_score_gemma":0.0032885845,"teacher_disagreement_score":0.0036731616,"about_ca_system_score_codex":0.00039311268,"about_ca_system_score_gemma":0.0004976336,"threshold_uncertainty_score":0.0073035955},"labels":[],"label_agreement":null},{"id":"W4403624097","doi":"10.36227/techrxiv.172963251.14857673/v1","title":"Bi-Level Transfer Learning for Lifelong-Intelligent Energy Management of Electric Vehicles","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation, Science and Economic Development Canada","funders":"National Natural Science Foundation of China","keywords":"Lifelong learning; Energy transfer; Transfer of learning; Energy management; Transfer (computing); Computer science; Energy (signal processing); Engineering; Engineering physics; Artificial intelligence; Physics; Political science; Operating system","score_opus":0.038851453627392146,"score_gpt":0.2868178266158851,"score_spread":0.24796637298849297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403624097","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039480016,0.0002090234,0.95641613,0.00015302398,0.00002314456,0.000054254222,0.000025885649,0.0009113951,0.00272721],"genre_scores_gemma":[0.9508681,0.000067524445,0.047370065,0.00007678788,0.000013174723,0.00010342996,0.00006402561,0.000050161725,0.0013867973],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962425,0.00009608781,0.000018512605,0.000099153476,0.00010679514,0.00005523724],"domain_scores_gemma":[0.99955815,0.00017759448,0.00006209002,0.00008137407,0.000095698015,0.000025148434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008660895,0.0006502477,0.0005356646,0.00036406526,0.00031414913,0.0008197457,0.0011132249,0.0006928781,0.0014950038],"category_scores_gemma":[0.0018495225,0.00030616103,0.0004078331,0.00030864394,0.0005559476,0.0011409584,0.0016298324,0.001101331,0.00038668147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007891363,0.00014792301,0.0010072284,0.00006172414,0.000046135567,0.000049731203,0.000095469935,0.87126815,0.005191289,0.00412786,0.0005073497,0.117418244],"study_design_scores_gemma":[0.000002847348,0.000029627776,0.000108912456,0.000002543295,0.0000027691192,0.000004464329,0.0000070284204,0.9967691,0.0009773764,0.001860068,0.00023245494,0.0000028137244],"about_ca_topic_score_codex":0.0025309548,"about_ca_topic_score_gemma":0.0021022481,"teacher_disagreement_score":0.0025309548,"about_ca_system_score_codex":0.00070170546,"about_ca_system_score_gemma":0.00077962194,"threshold_uncertainty_score":0.0050913095},"labels":[],"label_agreement":null},{"id":"W4403713555","doi":"10.2139/ssrn.4998915","title":"Machine Learning-Based State of Charge Estimation: A Comparison between Catboost Model and C-Blstm-Ae Model","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Computer science; State (computer science); Estimation; Charge (physics); Artificial intelligence; Physics; Engineering; Algorithm","score_opus":0.020709247612816763,"score_gpt":0.2944335755771663,"score_spread":0.27372432796434953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403713555","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.068634965,0.0028412952,0.9156817,0.0005195507,0.00047016365,0.00007700802,0.000291379,0.004839003,0.0066448757],"genre_scores_gemma":[0.86225265,0.0008719636,0.12952928,0.00028857542,0.000103777245,0.00008586861,0.0006818933,0.00034901715,0.005836908],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997203,0.00005240504,0.000017747758,0.0000809832,0.000088230365,0.00004035426],"domain_scores_gemma":[0.99928916,0.0002772369,0.00004828049,0.00006944287,0.00027827363,0.000037617563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087508996,0.0007199901,0.0011535507,0.0005192049,0.00036954187,0.001064241,0.0016301498,0.0014133077,0.003226573],"category_scores_gemma":[0.0021354314,0.0002707604,0.0004791643,0.00082799036,0.00025911749,0.0015942043,0.0005033855,0.0015019894,0.0013798238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085006666,0.00044022762,0.0026430604,0.00041520986,0.0002180605,0.00007599102,0.00005891652,0.4925976,0.012889591,0.004203819,0.0054337145,0.48017383],"study_design_scores_gemma":[0.000005704436,0.000024739602,0.00033670603,0.000007955661,0.000008999929,0.000012554506,0.0000043552204,0.9974075,0.0012631475,0.00054054894,0.0003825092,0.000005270611],"about_ca_topic_score_codex":0.01328686,"about_ca_topic_score_gemma":0.0116638895,"teacher_disagreement_score":0.01328686,"about_ca_system_score_codex":0.0005276629,"about_ca_system_score_gemma":0.0012268095,"threshold_uncertainty_score":0.026419044},"labels":[],"label_agreement":null},{"id":"W4403765423","doi":"10.3390/app14219762","title":"Editorial of Special Issue on Power Transmission and Control in Power and Vehicle Machineries","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Power (physics); Control (management); Power transmission; Engineering; Computer science; Physics; Artificial intelligence","score_opus":0.005674564835020222,"score_gpt":0.2528367932712034,"score_spread":0.24716222843618318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403765423","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000040451778,0.0032538674,0.00014700019,0.012911503,0.98201764,0.000011168908,0.00003637955,0.000039457063,0.0015425151],"genre_scores_gemma":[0.00028397978,0.0021748922,0.00006279854,0.006227182,0.9862099,0.000008499604,0.000021165693,0.000021460679,0.004990162],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971343,0.00032919567,0.00034698873,0.00050553144,0.0014424137,0.00024150457],"domain_scores_gemma":[0.9889959,0.0037625784,0.000720459,0.00034146899,0.004338969,0.0018405812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036830467,0.004182645,0.0033760318,0.0031820587,0.0024993478,0.0057733394,0.0032515917,0.011780923,0.023321655],"category_scores_gemma":[0.010460455,0.0010665207,0.0029032005,0.0011789128,0.0019064568,0.0040315855,0.0011400052,0.014214626,0.012183982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005360036,0.000020419042,0.0000432347,0.0002328962,0.000018620636,0.00012385088,0.0000090574995,0.000052204494,0.00011439554,0.0004121115,0.9931572,0.0057623764],"study_design_scores_gemma":[0.000055071545,0.00006165386,0.00043916563,0.00028227502,0.00004319578,0.0002801238,0.000023829645,0.00023865729,0.00015624176,0.001018831,0.99738353,0.000017339065],"about_ca_topic_score_codex":0.0013251889,"about_ca_topic_score_gemma":0.0038022448,"teacher_disagreement_score":0.023321655,"about_ca_system_score_codex":0.002214505,"about_ca_system_score_gemma":0.0018338226,"threshold_uncertainty_score":0.078018725},"labels":[],"label_agreement":null},{"id":"W4403909293","doi":"10.1149/1945-7111/ad8d0c","title":"Impact of Electrolyte Additives on the Lifetime of High Voltage NMC Lithium-Ion Pouch Cells","year":2024,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts; Dalhousie University","keywords":"Electrolyte; Lithium (medication); Pouch; Ion; Materials science; Chemistry; Inorganic chemistry; Medicine; Electrode; Organic chemistry; Physical chemistry; Internal medicine; Surgery","score_opus":0.006277304921225459,"score_gpt":0.25021070117438315,"score_spread":0.24393339625315769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403909293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957255,0.0018101024,0.0013083059,0.0000683321,0.000027919987,0.000018031622,0.00009744141,0.000052917483,0.00089142803],"genre_scores_gemma":[0.99637717,0.0006830698,0.0017813384,0.00003241426,0.000005804866,0.0000144798505,0.00011618028,0.000020595924,0.0009690175],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99952245,0.00007467721,0.00005492329,0.000067660476,0.00020578946,0.000074481904],"domain_scores_gemma":[0.99943453,0.00016450488,0.00009157454,0.000041539395,0.0002279411,0.000039907376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042097832,0.0003349785,0.00035395112,0.00033649761,0.00027452872,0.00077503937,0.00043865773,0.0004693996,0.00095248484],"category_scores_gemma":[0.0013102606,0.00014053169,0.00019026105,0.00034842882,0.00017274014,0.0006259988,0.00031301755,0.000381027,0.00023687613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036138913,0.000043833097,0.0010260746,0.00011224205,0.000012990915,0.00009395496,0.00004579523,0.00030704692,0.9903014,0.000042486277,0.000047949256,0.007604889],"study_design_scores_gemma":[0.000003212301,0.0003652769,0.0017816724,0.00000986005,0.000015745094,0.00007153402,0.00003645386,0.00054925313,0.9962727,0.000013083166,0.0008752762,0.000005998141],"about_ca_topic_score_codex":0.00084068783,"about_ca_topic_score_gemma":0.0020066374,"teacher_disagreement_score":0.00095248484,"about_ca_system_score_codex":0.00030572558,"about_ca_system_score_gemma":0.00024976252,"threshold_uncertainty_score":0.003186345},"labels":[],"label_agreement":null},{"id":"W4403918252","doi":"10.1109/access.2024.3488596","title":"Battery State of Charge and State of Health Estimation Using a New Hybrid Deep Neural Network Approach","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Artificial neural network; Computer science; Battery (electricity); State of charge; Estimation; State (computer science); Artificial intelligence; State of health; Charge (physics); Engineering; Algorithm; Physics; Power (physics)","score_opus":0.04985379849178266,"score_gpt":0.3345738807219403,"score_spread":0.2847200822301576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403918252","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.090769,0.0007242531,0.90236396,0.00028391334,0.00009827627,0.000043890213,0.000347199,0.0013680357,0.004001434],"genre_scores_gemma":[0.928215,0.00024678104,0.06578155,0.0001617738,0.000048612696,0.00007265568,0.0005223525,0.000039647934,0.00491164],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998847,0.00001671743,0.000007856589,0.000037126465,0.00003384629,0.000019732766],"domain_scores_gemma":[0.999828,0.000049957285,0.000020844369,0.000017023442,0.000075718024,0.000008442997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026913176,0.00055116793,0.0003805072,0.00039219204,0.00015434028,0.00044563581,0.00088284654,0.0005467226,0.0010819924],"category_scores_gemma":[0.00072499574,0.00025059094,0.0003531348,0.00034577594,0.0001659,0.00065760163,0.00053916144,0.0005605849,0.00022113178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016295814,0.00013077333,0.0031071876,0.00009308784,0.00013405747,0.00012242515,0.000055674518,0.69838166,0.011551194,0.0023175438,0.0020657927,0.2818777],"study_design_scores_gemma":[0.0000017186046,0.000012196946,0.00025620178,0.0000025268982,0.0000061589753,0.000009071135,0.000002949739,0.99806446,0.001025076,0.00045480466,0.0001620372,0.000002863135],"about_ca_topic_score_codex":0.009177051,"about_ca_topic_score_gemma":0.014632304,"teacher_disagreement_score":0.009177051,"about_ca_system_score_codex":0.00052284065,"about_ca_system_score_gemma":0.00045198353,"threshold_uncertainty_score":0.018247306},"labels":[],"label_agreement":null},{"id":"W4403975690","doi":"10.1016/j.est.2024.114395","title":"Experimental investigations of a novel phase change material and nano enhanced phase change material based passive battery thermal management system for Li-ion battery discharged at a high C rate","year":2024,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Central Salt and Marine Chemicals Research Institute, Council of Scientific and Industrial Research","keywords":"Phase change; Phase-change material; Battery (electricity); Materials science; Thermal; Phase (matter); Thermal management of electronic devices and systems; Ion; Chemical engineering; Nuclear engineering; Thermodynamics; Engineering; Engineering physics; Mechanical engineering; Chemistry; Physics; Power (physics)","score_opus":0.03372215869780151,"score_gpt":0.28764551816184153,"score_spread":0.25392335946404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403975690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923558,0.00028242148,0.0054603717,0.000095348565,0.000060415307,0.00006837683,0.00023229829,0.00013987065,0.0013050478],"genre_scores_gemma":[0.9927174,0.0001600154,0.0044716517,0.00003196721,0.000012512392,0.00005352275,0.00011882062,0.000022931368,0.0024111609],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984527,0.0000108189315,0.000009078458,0.000047119924,0.00006883707,0.000018776216],"domain_scores_gemma":[0.999838,0.00003332683,0.000027388553,0.000025168962,0.00006325763,0.00001275676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021039201,0.0002599023,0.00031993448,0.00015228214,0.00034134582,0.0002955739,0.00062113703,0.00039908243,0.002058577],"category_scores_gemma":[0.0002893986,0.0001957652,0.00017327166,0.00019882545,0.00027430843,0.00075514935,0.0001854051,0.00028585267,0.00034589414],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012654375,0.000044339184,0.00012809184,0.000087490196,0.0000029593625,0.00003572573,0.000038311005,0.00009270217,0.99718577,0.000096308075,0.00008410616,0.0020775977],"study_design_scores_gemma":[0.000018442948,0.00036924824,0.0009611811,0.000002220243,0.00000786095,0.00007367596,0.000029186675,0.0016701231,0.9957794,0.00002108188,0.0010616364,0.000006017264],"about_ca_topic_score_codex":0.0003418558,"about_ca_topic_score_gemma":0.0007461189,"teacher_disagreement_score":0.002058577,"about_ca_system_score_codex":0.00027169936,"about_ca_system_score_gemma":0.00023458495,"threshold_uncertainty_score":0.0068866014},"labels":[],"label_agreement":null},{"id":"W4403999852","doi":"10.1016/j.jpowsour.2024.235450","title":"State-of-health estimation for lithium-ion batteries based on electrochemical impedance spectroscopy measurements combined with unscented Kalman filter","year":2024,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; FedDev Ontario","keywords":"Kalman filter; Dielectric spectroscopy; Lithium (medication); Extended Kalman filter; Ion; Electrochemistry; Electrical impedance; State (computer science); Spectroscopy; State of health; Materials science; Chemistry; Computer science; Battery (electricity); Electrical engineering; Engineering; Physics; Electrode; Power (physics); Algorithm; Medicine; Thermodynamics; Physical chemistry; Artificial intelligence","score_opus":0.018096513236619084,"score_gpt":0.29127494339753673,"score_spread":0.27317843016091764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403999852","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06874378,0.00070424343,0.9285635,0.00014434621,0.00006745939,0.00003465766,0.00011058598,0.00068054843,0.0009509212],"genre_scores_gemma":[0.9566193,0.0005010612,0.04100724,0.00006382724,0.000039168994,0.000056237273,0.00021998367,0.000024706165,0.0014685235],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997775,0.00003993912,0.000021937702,0.00006798009,0.000072299175,0.000020266352],"domain_scores_gemma":[0.99967,0.00013810962,0.00005144333,0.000024532143,0.000107088155,0.0000086960845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041576437,0.0005590296,0.000679635,0.0003346223,0.00024145255,0.0006086352,0.00043663254,0.0005349261,0.00066220877],"category_scores_gemma":[0.0012782259,0.00030346282,0.00039117472,0.0003766449,0.0002017403,0.00093298085,0.00041352338,0.00050674943,0.00028970916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082291267,0.00027379146,0.011216434,0.000630448,0.00021965914,0.0001918405,0.0003388439,0.45475543,0.07283762,0.0034397074,0.0021882856,0.453085],"study_design_scores_gemma":[0.000010606567,0.000050971375,0.0025549133,0.000011139868,0.000021336706,0.000033647444,0.000015635149,0.98926395,0.0069050347,0.00075066363,0.00036548122,0.000016606871],"about_ca_topic_score_codex":0.0044835126,"about_ca_topic_score_gemma":0.0055148914,"teacher_disagreement_score":0.0044835126,"about_ca_system_score_codex":0.00032225763,"about_ca_system_score_gemma":0.00046492644,"threshold_uncertainty_score":0.008914828},"labels":[],"label_agreement":null},{"id":"W4404102723","doi":"10.1109/sege62220.2024.10739432","title":"Physics-Informed NN for Improving Electric Vehicles Lithium-Ion Battery State-of-Charge Estimation Robustness","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Interdisciplinary Research Center for Renewable Energy and Power Systems, King Fahd University of Petroleum and Minerals; King Fahd University of Petroleum and Minerals","keywords":"Robustness (evolution); State of charge; Ion; Computer science; Electrical engineering; Lithium-ion battery; Physics; Battery (electricity); Engineering; Control theory (sociology); Artificial intelligence; Quantum mechanics; Chemistry; Control (management)","score_opus":0.01695584032562633,"score_gpt":0.27598333248088425,"score_spread":0.2590274921552579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404102723","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12521741,0.000998498,0.8652604,0.0004558729,0.00014475423,0.000057106547,0.0002269648,0.0017560106,0.0058830455],"genre_scores_gemma":[0.9586757,0.00020965253,0.038589828,0.00017531648,0.00004449437,0.000049516115,0.00030388177,0.00006672838,0.0018848875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999819,0.000033380045,0.000012522687,0.00005689759,0.000054758228,0.000023595509],"domain_scores_gemma":[0.9994728,0.00024049656,0.000058895206,0.00004759292,0.0001645584,0.000015763075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066865236,0.000808119,0.000555767,0.00046573463,0.00030972838,0.00057327887,0.001015762,0.00064796617,0.0011302135],"category_scores_gemma":[0.0030165839,0.00040853646,0.0004780201,0.00033348694,0.00031805172,0.0009935366,0.0006841697,0.00094234745,0.00024271094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032087606,0.000020289652,0.0007304948,0.000021920088,0.00002314353,0.000019967605,0.0000130222215,0.9735284,0.0010211712,0.0008811214,0.0003499094,0.023358466],"study_design_scores_gemma":[0.000001506336,0.000006527545,0.00016380812,0.0000019559805,0.0000035484502,0.0000036788206,0.0000018435118,0.9987231,0.00028489032,0.0006919396,0.00011487208,0.0000022292077],"about_ca_topic_score_codex":0.012879002,"about_ca_topic_score_gemma":0.010282782,"teacher_disagreement_score":0.012879002,"about_ca_system_score_codex":0.0007770257,"about_ca_system_score_gemma":0.0009085897,"threshold_uncertainty_score":0.025608122},"labels":[],"label_agreement":null},{"id":"W4404130194","doi":"10.1088/1361-6501/ad8fc3","title":"A firefly-based particle filter technique for system state estimation and battery RUL prediction","year":2024,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Firefly protocol; Particle filter; Firefly algorithm; Particle (ecology); Battery (electricity); State (computer science); Estimation; Computer science; Control theory (sociology); Filter (signal processing); Algorithm; Engineering; Physics; Artificial intelligence; Particle swarm optimization; Computer vision; Power (physics); Systems engineering; Thermodynamics","score_opus":0.028592079676821185,"score_gpt":0.26455647742017113,"score_spread":0.23596439774334996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404130194","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003957034,0.00011328544,0.9952136,0.000057851215,0.0000306715,0.000014591244,0.000011127991,0.0001891718,0.00041266286],"genre_scores_gemma":[0.45506844,0.00053624966,0.5402477,0.00015652092,0.00010300108,0.00019640505,0.0001450083,0.000085717584,0.003460984],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963224,0.000071199975,0.000020090654,0.00007561019,0.00016706173,0.000033699747],"domain_scores_gemma":[0.99953365,0.00023003075,0.000060434617,0.000037344853,0.00012072069,0.000017924543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008983065,0.0008573515,0.0009187165,0.00066072954,0.00047157428,0.0005140991,0.0009979194,0.0011075288,0.0010214682],"category_scores_gemma":[0.002001096,0.00044006205,0.0008584117,0.0006568325,0.00043114668,0.0008148914,0.00054794864,0.001081924,0.00028986306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011783736,0.00006618049,0.0010497551,0.00010825044,0.0000767328,0.00008627959,0.00009404145,0.8328744,0.013071848,0.007199813,0.0015869003,0.1436679],"study_design_scores_gemma":[0.0000042465886,0.000012685143,0.00008460768,0.00000245605,0.0000042160937,0.00000923954,0.0000016212706,0.9984199,0.0008918188,0.0003082502,0.00025711706,0.000003824845],"about_ca_topic_score_codex":0.008172745,"about_ca_topic_score_gemma":0.004842518,"teacher_disagreement_score":0.008172745,"about_ca_system_score_codex":0.00060787745,"about_ca_system_score_gemma":0.0012260176,"threshold_uncertainty_score":0.016250372},"labels":[],"label_agreement":null},{"id":"W4404213672","doi":"10.1016/j.est.2024.114393","title":"Technology, economic, and environmental analysis of second-life batteries as stationary energy storage: A review","year":2024,"lang":"en","type":"review","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Energy storage; Environmental science; Waste management; Computer science; Environmental economics; Process engineering; Engineering; Economics; Physics; Thermodynamics","score_opus":0.016032798291946926,"score_gpt":0.28853153834988465,"score_spread":0.2724987400579377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404213672","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00054391375,0.9965779,0.00033327783,0.00023399563,0.00016891776,0.0000095023615,0.00004615009,0.000006718376,0.0020796189],"genre_scores_gemma":[0.0020678171,0.99684733,0.00026164402,0.0001030002,0.00010982776,0.000009262498,0.000041023784,0.0000018953726,0.00055810413],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99969995,0.00004130744,0.000049339527,0.000053365642,0.00012723247,0.000028829652],"domain_scores_gemma":[0.9993339,0.00036228535,0.00009921811,0.00001674076,0.00016945484,0.000018369441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069026084,0.00091203046,0.0012417407,0.0026579937,0.0003300492,0.0014913817,0.000981335,0.0010972411,0.0036823452],"category_scores_gemma":[0.0010260796,0.00035283953,0.00101683,0.003670606,0.0003790798,0.0021398927,0.0006114758,0.0008397616,0.0012663677],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011462527,0.00013676095,0.00071004225,0.08501445,0.00021688359,0.00049578724,0.00016930197,0.0023941381,0.0056515564,0.016000347,0.026071724,0.8630245],"study_design_scores_gemma":[0.000008279374,0.00021949229,0.0010354214,0.008896202,0.00030282975,0.0012273878,0.00016832445,0.00053576875,0.0032339476,0.0040812623,0.98024875,0.00004244365],"about_ca_topic_score_codex":0.0015240366,"about_ca_topic_score_gemma":0.001715324,"teacher_disagreement_score":0.0036823452,"about_ca_system_score_codex":0.0006753348,"about_ca_system_score_gemma":0.0014522555,"threshold_uncertainty_score":0.012318671},"labels":[],"label_agreement":null},{"id":"W4404238552","doi":"10.1109/access.2024.3495560","title":"Transformer-Based Deep Learning Strategies for Lithium-Ion Batteries SOX Estimation Using Regular and Inverted Embedding","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Embedding; Transformer; Deep learning; Ion; Lithium (medication); Materials science; Electrical engineering; Artificial intelligence; Chemistry; Engineering; Voltage","score_opus":0.03936813705671466,"score_gpt":0.3440342812918876,"score_spread":0.30466614423517296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404238552","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0366093,0.0005443749,0.96021134,0.00013084439,0.000028850238,0.000026331147,0.00006158258,0.0006722461,0.0017151195],"genre_scores_gemma":[0.912047,0.00039763845,0.0832678,0.00011421392,0.000025042616,0.000059282174,0.000275686,0.0000595753,0.0037538307],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999881,0.000026578273,0.000009824036,0.000031251642,0.00003170693,0.000019627423],"domain_scores_gemma":[0.9997845,0.00008291452,0.00002606129,0.000025305713,0.000069679736,0.000011380948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044908808,0.0006904102,0.0004713603,0.00033429134,0.00016123726,0.0004628098,0.0009122082,0.00050374644,0.0012738762],"category_scores_gemma":[0.0012002101,0.00027541115,0.00042557454,0.00033445776,0.0003454415,0.0010438199,0.00079145684,0.0007788196,0.00036419457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010987264,0.000089629866,0.001227671,0.000086152155,0.000055095064,0.00007360633,0.000077913974,0.74611056,0.00750446,0.006440237,0.0013071992,0.23691763],"study_design_scores_gemma":[0.0000012820825,0.000011377004,0.000047307396,0.0000020584387,0.0000028530176,0.0000056541494,0.0000027399208,0.9983919,0.00065273565,0.00075653667,0.00012374454,0.0000018075435],"about_ca_topic_score_codex":0.0066980803,"about_ca_topic_score_gemma":0.006974857,"teacher_disagreement_score":0.0066980803,"about_ca_system_score_codex":0.0005060806,"about_ca_system_score_gemma":0.00060657674,"threshold_uncertainty_score":0.013318181},"labels":[],"label_agreement":null},{"id":"W4404242591","doi":"10.3390/batteries10110400","title":"A Comparison of Battery Equivalent Circuit Model Parameter Extraction Approaches Based on Electrochemical Impedance Spectroscopy","year":2024,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dielectric spectroscopy; Equivalent circuit; Battery (electricity); Extraction (chemistry); Electrical impedance; Materials science; Electrochemistry; Computer science; Biological system; Analytical Chemistry (journal); Electrical engineering; Power (physics); Voltage; Chemistry; Electrode; Chromatography; Thermodynamics; Physics; Engineering","score_opus":0.0874765845655592,"score_gpt":0.34147794661657355,"score_spread":0.2540013620510143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404242591","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.077254646,0.0026273627,0.9131886,0.00016594488,0.00005545765,0.000079795536,0.00018001556,0.0015488112,0.0048993705],"genre_scores_gemma":[0.64372104,0.0042137355,0.34847754,0.00012428084,0.00004031108,0.00023151013,0.00065422355,0.00021326207,0.0023240193],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992207,0.00016575868,0.00006808233,0.0001220859,0.00039559643,0.00002773251],"domain_scores_gemma":[0.9990277,0.00045324073,0.000084995314,0.00012099548,0.0002979532,0.0000150268925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011459248,0.0011197532,0.0008701083,0.001505279,0.00024141319,0.0007892058,0.0011073675,0.000797235,0.0009446807],"category_scores_gemma":[0.0037917455,0.0003659298,0.0008392279,0.00097124063,0.0002897498,0.0022184881,0.00069295993,0.00054849125,0.0004808155],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048026655,0.00022998072,0.0073568113,0.0014586372,0.00042058819,0.00027620987,0.00033659572,0.20318083,0.1001501,0.0061867083,0.0016018805,0.67832136],"study_design_scores_gemma":[0.00003826754,0.00026914143,0.0045603733,0.00009748233,0.0001736235,0.00039975,0.00016297295,0.90474176,0.08043611,0.0027174249,0.006294803,0.00010830487],"about_ca_topic_score_codex":0.001819898,"about_ca_topic_score_gemma":0.0029941055,"teacher_disagreement_score":0.001819898,"about_ca_system_score_codex":0.000378722,"about_ca_system_score_gemma":0.0006385338,"threshold_uncertainty_score":0.0060603023},"labels":[],"label_agreement":null},{"id":"W4404289411","doi":"10.36001/phmconf.2024.v16i1.3918","title":"Health Indicator Development for Low-Voltage Battery Diagnostics and Prognostics in Electric Vehicles","year":2024,"lang":"en","type":"article","venue":"Annual Conference of the PHM Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"General Motors (Canada)","funders":"","keywords":"Prognostics; Low voltage; Battery (electricity); Automotive engineering; Voltage; Computer science; Reliability engineering; Engineering; Electrical engineering; Physics; Power (physics)","score_opus":0.020956002738014987,"score_gpt":0.27729267174209654,"score_spread":0.25633666900408153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404289411","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014732018,0.0003133355,0.9814586,0.00011560834,0.00004751158,0.000084112384,0.00008766646,0.0010003413,0.0021608297],"genre_scores_gemma":[0.84495693,0.00070258253,0.1505071,0.00009258536,0.000052698233,0.00019254166,0.00034643026,0.000051354895,0.0030977556],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99971086,0.000079720754,0.000022189757,0.000057522215,0.00010199602,0.00002772601],"domain_scores_gemma":[0.9997031,0.000090564456,0.000035948382,0.000025013507,0.00013421678,0.000011085279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046704905,0.00053985923,0.00043524682,0.00045877314,0.00020811295,0.0007825856,0.000643161,0.00048265897,0.0015203079],"category_scores_gemma":[0.001047008,0.00017872216,0.0003638368,0.00027356617,0.00020863747,0.00081500283,0.00043048055,0.0005653678,0.00041806113],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028414518,0.00024691553,0.009075064,0.0005296771,0.000111748755,0.00027173484,0.00021729335,0.37599966,0.054362148,0.022919962,0.0042871805,0.53169453],"study_design_scores_gemma":[0.000012484977,0.00019142646,0.0020440673,0.00003604925,0.00003772478,0.00011694525,0.000052859705,0.96743315,0.021589886,0.004366873,0.0040990636,0.000019379166],"about_ca_topic_score_codex":0.001699612,"about_ca_topic_score_gemma":0.0017197226,"teacher_disagreement_score":0.001699612,"about_ca_system_score_codex":0.00053558446,"about_ca_system_score_gemma":0.0006353084,"threshold_uncertainty_score":0.005085945},"labels":[],"label_agreement":null},{"id":"W4404298357","doi":"10.1016/j.tsep.2024.103048","title":"Enhancing Li-ion battery efficiency: An experimental study on hybrid cooling approach with paraffin and forced air convection","year":2024,"lang":"en","type":"article","venue":"Thermal Science and Engineering Progress","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Bilimsel Araştırma Projeleri, Erciyes Üniversitesi; Erciyes Üniversitesi","keywords":"Forced convection; Battery (electricity); Convection; Ion; Materials science; Nuclear engineering; Environmental science; Mechanics; Thermodynamics; Chemistry; Engineering; Physics; Power (physics)","score_opus":0.013192479228459657,"score_gpt":0.26475169509194296,"score_spread":0.2515592158634833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404298357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99705243,0.00015802468,0.0020786896,0.000015543259,0.00001609199,0.000018022378,0.00005143601,0.000034081237,0.00057559006],"genre_scores_gemma":[0.99720037,0.00012735653,0.0015987859,0.000007695208,0.0000048740826,0.000027181923,0.000042861484,0.00002153298,0.000969323],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985063,0.000014489632,0.000007746383,0.000044112672,0.000043619202,0.000039326776],"domain_scores_gemma":[0.99980026,0.00005989131,0.000028658304,0.00003254896,0.00006346244,0.000015252598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003123647,0.00034075422,0.00040530093,0.0001664811,0.0002790127,0.00032768364,0.0005987655,0.00026760678,0.0019212625],"category_scores_gemma":[0.0004267663,0.00014656679,0.00026422375,0.00021941004,0.0003880589,0.00084153743,0.00027847107,0.00035937107,0.000219784],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005848633,0.0001645332,0.00041658376,0.00012481313,0.000009949021,0.000040283812,0.000062670624,0.00052713323,0.9946115,0.00024105787,0.000060358852,0.0031562385],"study_design_scores_gemma":[0.000027704955,0.00057892007,0.0007422508,0.0000038774683,0.0000165235,0.000030474172,0.00003089308,0.0033544742,0.99454004,0.000037634745,0.0006303457,0.000006928174],"about_ca_topic_score_codex":0.0005185236,"about_ca_topic_score_gemma":0.0005723439,"teacher_disagreement_score":0.0019212625,"about_ca_system_score_codex":0.00019455918,"about_ca_system_score_gemma":0.00021191992,"threshold_uncertainty_score":0.006427288},"labels":[],"label_agreement":null},{"id":"W4404331552","doi":"10.1016/j.conengprac.2024.106157","title":"Sliding-mode energy management strategy for dual-source electric vehicles handling battery rate of change of current","year":2024,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Trường Đại học Bách Khoa Hà Nội","keywords":"Current (fluid); Battery (electricity); Dual (grammatical number); Automotive engineering; Dual mode; Mode (computer interface); Energy management; Electrical engineering; Electric vehicle; Energy (signal processing); Computer science; Engineering; Power (physics); Physics; Aerospace engineering","score_opus":0.04096400021462038,"score_gpt":0.31161290935058966,"score_spread":0.2706489091359693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404331552","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.064282306,0.0005923827,0.9238613,0.00026189908,0.0001751262,0.000087144355,0.000034976973,0.00044464797,0.010260264],"genre_scores_gemma":[0.98579806,0.00015980461,0.011057915,0.00004979085,0.00002654545,0.000080187,0.000027870059,0.000010370998,0.0027895374],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998167,0.00003363831,0.000016022972,0.000057566613,0.000048453116,0.00002764891],"domain_scores_gemma":[0.999843,0.000036973448,0.000030287993,0.000015232752,0.00006156452,0.000012894328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003531439,0.00070720987,0.00051142776,0.00031397634,0.00035737772,0.00068623485,0.0007925984,0.0005007655,0.001642152],"category_scores_gemma":[0.00041579435,0.00018726528,0.00040503885,0.00021284493,0.0004024058,0.0004534156,0.00063109247,0.00047999126,0.00025176944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004207498,0.00019081168,0.0014124375,0.00031367494,0.00011243523,0.00047364432,0.00044922673,0.7863121,0.029776352,0.014040218,0.003257929,0.16324045],"study_design_scores_gemma":[0.000020840365,0.00013556772,0.00021449264,0.000007533282,0.000015003854,0.00002150558,0.000021202579,0.9960891,0.0014525753,0.0012233778,0.00079156045,0.000007144472],"about_ca_topic_score_codex":0.0028369224,"about_ca_topic_score_gemma":0.0019059326,"teacher_disagreement_score":0.0028369224,"about_ca_system_score_codex":0.00031909652,"about_ca_system_score_gemma":0.00039319662,"threshold_uncertainty_score":0.0056408644},"labels":[],"label_agreement":null},{"id":"W4404467350","doi":"10.22491/19805764/098","title":"Performance of PPA patients in the Montreal Toulouse Battery Comprehension test: a comparative analysis","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Test (biology); Battery (electricity); Computer science; Comprehension; Telecommunications; Programming language; Power (physics)","score_opus":0.02004508371152786,"score_gpt":0.275413922037452,"score_spread":0.25536883832592416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404467350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977537,0.00022349865,0.00010567865,0.000026414044,0.0000072536513,0.000011136196,0.00030108233,0.0000055521555,0.0015657231],"genre_scores_gemma":[0.998934,0.00008756755,0.000038234273,0.000019691604,0.000010195355,0.000011848131,0.00041835787,0.0000046747273,0.00047553837],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995378,0.00008343688,0.00007222519,0.00011375521,0.000105014304,0.00008779547],"domain_scores_gemma":[0.9985469,0.00065964827,0.00017565399,0.000081990926,0.0003366989,0.00019901434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074584456,0.00059539883,0.00075244164,0.0023020962,0.00045134826,0.0007921355,0.00046647925,0.00081853283,0.004269242],"category_scores_gemma":[0.0046945093,0.00015893707,0.0005194239,0.0008361246,0.00055619836,0.001170481,0.00065295777,0.00029465836,0.0011787658],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001981515,0.0004693479,0.9658784,0.000053635496,0.00031202726,0.0019958997,0.002057217,0.00032658866,0.0026933448,0.0001927819,0.0006081336,0.023430983],"study_design_scores_gemma":[0.000030197953,0.000611297,0.9965959,0.000006406764,0.00006135663,0.0011403982,0.0007648181,0.00019583572,0.00018918917,0.00009391266,0.00029766076,0.000013005727],"about_ca_topic_score_codex":0.005880394,"about_ca_topic_score_gemma":0.0033540032,"teacher_disagreement_score":0.005880394,"about_ca_system_score_codex":0.0005575295,"about_ca_system_score_gemma":0.0003098173,"threshold_uncertainty_score":0.014282048},"labels":[],"label_agreement":null},{"id":"W4404497815","doi":"10.3390/batteries10110404","title":"Coupled Electro-Thermal-Aging Battery Pack Modeling—Part 1: Cell Level","year":2024,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Battery (electricity); Battery pack; Computer science; Thermal; Automotive engineering; Materials science; Environmental science; Power (physics); Engineering; Thermodynamics; Physics","score_opus":0.032589135924291385,"score_gpt":0.2596796470617214,"score_spread":0.22709051113743003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404497815","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06277916,0.00044922222,0.9226797,0.000092188704,0.000065013155,0.0001108718,0.000422218,0.00066064025,0.012740844],"genre_scores_gemma":[0.92035997,0.0009707268,0.058457404,0.00011391728,0.000043049764,0.00045104517,0.0007343863,0.00026397296,0.018605525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984,0.00002996403,0.0000082650095,0.00003125933,0.000073918854,0.00001655369],"domain_scores_gemma":[0.9998524,0.000046332516,0.000015865346,0.000032394146,0.000046794205,0.00000619098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022816943,0.0006422266,0.0006071951,0.00035641363,0.00027114712,0.0006480653,0.0014217198,0.000794214,0.00247811],"category_scores_gemma":[0.0005414266,0.00037951244,0.00092379743,0.00040063282,0.0003771952,0.0012751428,0.0006381682,0.00063256326,0.0007900756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017918703,0.000021178388,0.00055878883,0.000059955866,0.000023530993,0.000048210775,0.000055220502,0.9788737,0.00699503,0.003470284,0.00030555992,0.009570593],"study_design_scores_gemma":[0.0000017090432,0.000021150605,0.00018754978,0.0000042898646,0.000009403226,0.000021278143,0.000006381403,0.9958597,0.0018121228,0.0008288843,0.0012432085,0.0000044019994],"about_ca_topic_score_codex":0.0027986479,"about_ca_topic_score_gemma":0.002433744,"teacher_disagreement_score":0.0027986479,"about_ca_system_score_codex":0.00042410908,"about_ca_system_score_gemma":0.0005515308,"threshold_uncertainty_score":0.008290172},"labels":[],"label_agreement":null},{"id":"W4404506724","doi":"10.1016/j.energy.2024.133670","title":"Data-driven optimization of nano-PCM arrangements for battery thermal management based on Lattice Boltzmann simulation","year":2024,"lang":"en","type":"article","venue":"Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Lattice Boltzmann methods; Thermal; Nano-; Thermal management of electronic devices and systems; Materials science; Statistical physics; Mechanics; Thermodynamics; Physics; Mechanical engineering; Engineering; Composite material","score_opus":0.032268328698989206,"score_gpt":0.29619846626787005,"score_spread":0.26393013756888084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404506724","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39838642,0.00072256656,0.57820857,0.0004916431,0.000098468256,0.0001437241,0.0003508711,0.00059966603,0.020998118],"genre_scores_gemma":[0.95394176,0.0001388656,0.04330827,0.000044971115,0.000006021471,0.00014840941,0.000106377454,0.0000513716,0.0022540006],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999861,0.000028433918,0.000005689279,0.00002290867,0.00005301942,0.00002891418],"domain_scores_gemma":[0.9997528,0.0001215025,0.000028669572,0.000021162776,0.000059805654,0.000016001304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036132004,0.0005058472,0.0005795399,0.00031917985,0.00029941616,0.0006254549,0.0007273805,0.0006438046,0.0016585088],"category_scores_gemma":[0.00088764506,0.00034445676,0.00045666815,0.0003596948,0.00040179671,0.0006337482,0.00046101527,0.0005325074,0.00023307561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010347713,0.000010130551,0.0002570241,0.000017090899,0.0000037825155,0.000010518136,0.000005793972,0.9959072,0.0011978378,0.00047043024,0.00006409066,0.002045854],"study_design_scores_gemma":[0.0000021751734,0.0000051687794,0.000038478844,0.0000012296377,0.0000010782153,0.0000013344485,0.0000036923677,0.9993236,0.00038048706,0.00016429157,0.00007743168,0.0000010872751],"about_ca_topic_score_codex":0.006104342,"about_ca_topic_score_gemma":0.008003444,"teacher_disagreement_score":0.006104342,"about_ca_system_score_codex":0.0008491995,"about_ca_system_score_gemma":0.0010440154,"threshold_uncertainty_score":0.012137651},"labels":[],"label_agreement":null},{"id":"W4404515393","doi":"10.1016/j.applthermaleng.2024.124974","title":"Multi-objective optimization of cold plate with spoiler for battery thermal management system using whale optimization algorithm","year":2024,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Optimization algorithm; Whale; Battery (electricity); Multi-objective optimization; Thermal; Engineering; Computer science; Algorithm; Mechanical engineering; Mathematical optimization; Mathematics; Meteorology; Geography; Physics; Fishery","score_opus":0.009987292098968245,"score_gpt":0.2174114998337865,"score_spread":0.20742420773481823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404515393","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29905277,0.0011552317,0.6706661,0.00037712388,0.0002254813,0.00024369043,0.00026014663,0.00052875996,0.027490662],"genre_scores_gemma":[0.96599233,0.00015808817,0.027292386,0.00005300368,0.000028574175,0.00019226957,0.00012545413,0.000047360234,0.006110533],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973327,0.00007679326,0.000011972194,0.000052791314,0.000069443595,0.000055787787],"domain_scores_gemma":[0.9997435,0.0001247863,0.000026221267,0.000013079731,0.000067514535,0.000024981167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006472465,0.0010318614,0.0015758789,0.00057464815,0.00097437797,0.0014612902,0.0010880807,0.0014204099,0.0042456975],"category_scores_gemma":[0.00079590816,0.00063817186,0.00093773584,0.0005531135,0.00043821387,0.00074594293,0.00083340495,0.0007668187,0.0003367211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041387502,0.00002924526,0.0002090851,0.000040422903,0.000025510408,0.000035095214,0.000011691708,0.99468285,0.0006325088,0.0002846262,0.000169167,0.0038384402],"study_design_scores_gemma":[0.000008017547,0.000027643564,0.00014263525,0.0000019877132,0.0000074565305,0.0000034302968,0.000009167282,0.9994252,0.00017471022,0.000091070644,0.00010620607,0.000002533654],"about_ca_topic_score_codex":0.012666398,"about_ca_topic_score_gemma":0.011701918,"teacher_disagreement_score":0.012666398,"about_ca_system_score_codex":0.00065899413,"about_ca_system_score_gemma":0.0010323485,"threshold_uncertainty_score":0.025185347},"labels":[],"label_agreement":null},{"id":"W4404563435","doi":"10.1109/vppc63154.2024.10755418","title":"Machine Learning-Enhanced Aging-Aware Energy Management Strategy for Electric Vehicles","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Carleton University","funders":"","keywords":"Energy management; Computer science; Energy (signal processing); Automotive engineering; Engineering","score_opus":0.014580335740079447,"score_gpt":0.272212942274193,"score_spread":0.2576326065341136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404563435","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13591443,0.0009995088,0.8552173,0.00023650982,0.0001002581,0.00005810339,0.000068821006,0.0008542707,0.0065508336],"genre_scores_gemma":[0.97359306,0.00014500017,0.024319312,0.000057704758,0.00002169491,0.000028159688,0.000046593457,0.000021862375,0.0017666077],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999075,0.000013656356,0.0000060113503,0.000027190083,0.000029880668,0.000015810665],"domain_scores_gemma":[0.9998801,0.000028765468,0.000022962106,0.000010637348,0.00005049715,0.0000070234264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021064049,0.0004440998,0.0003483297,0.0002998504,0.00015779531,0.00026624196,0.0004964754,0.0002602909,0.0007016283],"category_scores_gemma":[0.00039999667,0.000097891025,0.00019758796,0.00017854621,0.0001349207,0.00046654264,0.00028610651,0.00026525054,0.00019167586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011707344,0.00021141197,0.002447675,0.00009452295,0.00004573107,0.00014553624,0.0000570151,0.65491885,0.03594154,0.0030387035,0.0016150966,0.30136678],"study_design_scores_gemma":[0.0000057287652,0.000095463765,0.00069191,0.0000056474196,0.0000129093805,0.000043605283,0.000012987547,0.9899691,0.0063901623,0.0013503754,0.0014155997,0.0000065047416],"about_ca_topic_score_codex":0.0010845533,"about_ca_topic_score_gemma":0.0015291293,"teacher_disagreement_score":0.0010845533,"about_ca_system_score_codex":0.0002690571,"about_ca_system_score_gemma":0.00026009392,"threshold_uncertainty_score":0.002347231},"labels":[],"label_agreement":null},{"id":"W4404563458","doi":"10.1109/vppc63154.2024.10755231","title":"Impact of Battery Temperature on Charging Time of an Electric Vehicle for Slow Charging","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Agence Nationale de la Recherche","keywords":"Trickle charging; Automotive engineering; Battery (electricity); Electric vehicle; Electrical engineering; Automotive battery; Computer science; Environmental science; Engineering; Power (physics); Physics","score_opus":0.010658306198615377,"score_gpt":0.2848478390891287,"score_spread":0.27418953289051334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404563458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959431,0.00022254739,0.0022038813,0.000022398555,0.000022962175,0.00000616494,0.000068512265,0.00006091277,0.0014495722],"genre_scores_gemma":[0.99953425,0.00006535349,0.00010018014,0.0000033550368,0.000001950107,0.0000017433977,0.000039032093,0.000008825597,0.00024548435],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998447,0.00001847432,0.000006581156,0.000026134141,0.000059735903,0.00004446114],"domain_scores_gemma":[0.99954635,0.00022820196,0.00004441478,0.000030434006,0.00012741849,0.000023210587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017202662,0.00021695117,0.00028473206,0.00019819252,0.00024216494,0.00046044655,0.00017125675,0.00021250224,0.0012885665],"category_scores_gemma":[0.0010349478,0.0001047007,0.00023111983,0.00021630201,0.00015804346,0.00040245644,0.00017291417,0.00020415174,0.00033048494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005175035,0.0004071691,0.083150804,0.00060676876,0.00019256689,0.0020862522,0.00064750214,0.2772859,0.5254756,0.0012454349,0.0014138538,0.102313116],"study_design_scores_gemma":[0.00005487532,0.004465742,0.14650868,0.000058312893,0.00028796133,0.0013074854,0.0013176748,0.31663707,0.52423865,0.00090714556,0.0040857224,0.0001306515],"about_ca_topic_score_codex":0.0011991125,"about_ca_topic_score_gemma":0.0011794002,"teacher_disagreement_score":0.0012885665,"about_ca_system_score_codex":0.00024472698,"about_ca_system_score_gemma":0.00020166069,"threshold_uncertainty_score":0.0043106675},"labels":[],"label_agreement":null},{"id":"W4404563746","doi":"10.1109/eeeic/icpseurope61470.2024.10751646","title":"Preliminary Study of Battery Swap Stations for Electric Vehicles on Highways","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Swap (finance); Automotive engineering; Battery electric vehicle; Battery (electricity); Computer science; Automotive battery; Environmental science; Transport engineering; Electrical engineering; Engineering; Business; Power (physics)","score_opus":0.027670573458994287,"score_gpt":0.30070718043522554,"score_spread":0.2730366069762313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404563746","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888769,0.000089387075,0.0027268112,0.000066752546,0.000010605693,0.00009179045,0.0004579314,0.000057363533,0.007622483],"genre_scores_gemma":[0.99616724,0.00009520498,0.0011554925,0.000007243292,0.0000047718163,0.000027026656,0.00034042276,0.000007862797,0.0021946817],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9996124,0.00014948266,0.000016545237,0.000047033624,0.00009398855,0.00008050407],"domain_scores_gemma":[0.99872917,0.00067748287,0.00006585921,0.000063375155,0.00041270774,0.000051511848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006746893,0.00053403835,0.0004160126,0.00066326355,0.00047019092,0.0008647627,0.0006827062,0.0005407069,0.0034844805],"category_scores_gemma":[0.0016409713,0.0002216705,0.00053679035,0.0007747772,0.00030039976,0.0007017694,0.00029582708,0.00035291267,0.0004141913],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016220629,0.0008215105,0.07545184,0.000478319,0.00011080622,0.0018542074,0.0004960098,0.84651744,0.018765694,0.00982531,0.003118407,0.040938277],"study_design_scores_gemma":[0.00012621054,0.0036708417,0.053099092,0.00004144925,0.00020882509,0.00025254855,0.0024886348,0.91777843,0.013268827,0.0019839795,0.007034374,0.00004677407],"about_ca_topic_score_codex":0.0268145,"about_ca_topic_score_gemma":0.023583038,"teacher_disagreement_score":0.0268145,"about_ca_system_score_codex":0.001469156,"about_ca_system_score_gemma":0.0008210611,"threshold_uncertainty_score":0.05331683},"labels":[],"label_agreement":null},{"id":"W4404563765","doi":"10.1109/ecceeurope62508.2024.10751968","title":"Improving Transient Response of a Battery Energy Storage System with Minimized DC Capacitors","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Capacitor; Energy storage; Transient (computer programming); Transient response; Electrical engineering; Transient analysis; Battery (electricity); Supercapacitor; Computer science; Materials science; Engineering; Capacitance; Voltage; Power (physics); Physics; Electrode","score_opus":0.008856104076770932,"score_gpt":0.2159887846705657,"score_spread":0.20713268059379478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404563765","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42557678,0.0006902175,0.56190526,0.00034553523,0.00016349947,0.00019127224,0.000121273864,0.0020252909,0.008980958],"genre_scores_gemma":[0.9866875,0.00009586293,0.012284289,0.000029753026,0.000008981573,0.000030978874,0.000025229978,0.000012012392,0.0008254336],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998647,0.000020816073,0.000011369602,0.00003557173,0.00005161401,0.000015995312],"domain_scores_gemma":[0.9998493,0.000048491675,0.000025373012,0.000019332892,0.000047478858,0.000010031303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016849153,0.0003339056,0.00029588572,0.00017962162,0.00024856735,0.0004569717,0.00043549686,0.00042257734,0.001380544],"category_scores_gemma":[0.00038322582,0.000107996,0.00018432016,0.00016665166,0.00016248444,0.00032358238,0.00019443918,0.00028640535,0.00023635317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080162793,0.00020832988,0.0007700179,0.0004676336,0.00004360373,0.00020449085,0.0003137131,0.060391784,0.83162427,0.002519786,0.00092599925,0.101728804],"study_design_scores_gemma":[0.00009561012,0.0016565929,0.0020703247,0.00003917057,0.00006847384,0.00028668914,0.00007911028,0.6007613,0.3889439,0.00074044755,0.0052217916,0.000036599744],"about_ca_topic_score_codex":0.00051718665,"about_ca_topic_score_gemma":0.00068370235,"teacher_disagreement_score":0.001380544,"about_ca_system_score_codex":0.00023026508,"about_ca_system_score_gemma":0.00019943227,"threshold_uncertainty_score":0.0046183467},"labels":[],"label_agreement":null},{"id":"W4404563905","doi":"10.1109/vppc63154.2024.10755236","title":"Battery internal resistance and state of health estimation based on modified Van Genuchten-Gupta model compared to a feedforward neural network","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Artificial neural network; Feedforward neural network; Internal resistance; Battery (electricity); Feed forward; Control theory (sociology); Computer science; Estimation; Control engineering; Artificial intelligence; Engineering; Physics; Control (management); Thermodynamics; Power (physics)","score_opus":0.03148652706722183,"score_gpt":0.2994165402488402,"score_spread":0.26793001318161835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404563905","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16295658,0.00083333167,0.8309507,0.0002267358,0.00008911839,0.000054989192,0.00006364839,0.0007355452,0.0040893387],"genre_scores_gemma":[0.9821295,0.00021913713,0.015734568,0.000027382202,0.000016439957,0.000042827927,0.000045978955,0.00001179886,0.0017723459],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997664,0.000053014304,0.000015431764,0.000077615885,0.000064396525,0.000023278237],"domain_scores_gemma":[0.999613,0.00019848795,0.00003883358,0.00004041629,0.000098836084,0.000010459773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037523248,0.00054095563,0.00053070777,0.00026564457,0.00016901917,0.0004783743,0.00075337756,0.00073775434,0.0009018299],"category_scores_gemma":[0.0011099592,0.00019481499,0.00044268096,0.0002655086,0.00029586203,0.0007921665,0.00040743404,0.0005847839,0.00013770557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016621932,0.0000788542,0.0014863862,0.00012238724,0.00006474497,0.00008534567,0.0000728489,0.913332,0.009723312,0.0012157364,0.00029936232,0.07335281],"study_design_scores_gemma":[0.0000025891902,0.000035207297,0.0003391922,0.0000032868063,0.000009512023,0.000015205621,0.0000026002413,0.99827826,0.0010124603,0.00023249695,0.00006505404,0.0000041633293],"about_ca_topic_score_codex":0.005987668,"about_ca_topic_score_gemma":0.0054181814,"teacher_disagreement_score":0.005987668,"about_ca_system_score_codex":0.00032746815,"about_ca_system_score_gemma":0.0003333881,"threshold_uncertainty_score":0.01190567},"labels":[],"label_agreement":null},{"id":"W4404963446","doi":"10.1155/er/8850262","title":"Data‐Driven Prediction of Li‐Ion Battery and PEM Fuel Cell Performance Degradations for Balanced Optimal Energy Management of Electrified Propulsion Systems","year":2024,"lang":"en","type":"article","venue":"International Journal of Energy Research","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund","keywords":"Battery (electricity); Propulsion; Automotive engineering; Proton exchange membrane fuel cell; Fuel cells; Engineering; Reliability engineering; Nuclear engineering; Computer science; Aerospace engineering; Power (physics); Thermodynamics; Physics; Chemical engineering","score_opus":0.05492493033131754,"score_gpt":0.33142946754021363,"score_spread":0.2765045372088961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404963446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90345085,0.00023605024,0.09196883,0.00014840311,0.000039866805,0.00004997014,0.0004563356,0.0008000737,0.002849708],"genre_scores_gemma":[0.9959629,0.00004281699,0.0035258578,0.0000046038176,0.0000022499635,0.000017718763,0.0001664658,0.000014396203,0.00026295637],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998853,0.000018900013,0.000008912805,0.000028166553,0.000042806558,0.000015908823],"domain_scores_gemma":[0.9995357,0.00020752514,0.00006260495,0.000039989063,0.00013292074,0.00002127168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041838168,0.0008931341,0.0005101468,0.0005672267,0.000273355,0.000722056,0.0004771709,0.00059191143,0.000373135],"category_scores_gemma":[0.0014764449,0.00031909923,0.0004002353,0.00034981573,0.00024339596,0.00060478173,0.00023690052,0.00054093654,0.0001467623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087811015,0.000064828724,0.0056625186,0.00003429712,0.000017018105,0.00003782778,0.00003983247,0.98031497,0.0038791124,0.00019839026,0.0002620133,0.009401411],"study_design_scores_gemma":[0.0000011481153,0.000010325295,0.00087371963,8.8869274e-7,0.0000019504282,0.0000020321747,0.0000050635344,0.9981567,0.00086356356,0.00003865575,0.000043606895,0.0000023399693],"about_ca_topic_score_codex":0.016885718,"about_ca_topic_score_gemma":0.009539997,"teacher_disagreement_score":0.016885718,"about_ca_system_score_codex":0.00088141084,"about_ca_system_score_gemma":0.00057081087,"threshold_uncertainty_score":0.03357488},"labels":[],"label_agreement":null},{"id":"W4405046983","doi":"10.1016/j.jtte.2024.09.004","title":"A review of lithium-ion battery state of health and remaining useful life estimation methods based on bibliometric analysis","year":2024,"lang":"en","type":"review","venue":"Journal of Traffic and Transportation Engineering (English Edition)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Estimation; State of health; Lithium (medication); Battery (electricity); Lithium-ion battery; Computer science; State (computer science); Reliability engineering; Psychology; Engineering; Systems engineering; Psychiatry; Algorithm; Physics","score_opus":0.03428161157375896,"score_gpt":0.34524311250764567,"score_spread":0.3109615009338867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405046983","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021266493,0.9854688,0.0035047538,0.0021558355,0.00037143735,0.000115612376,0.0009469078,0.000089850044,0.0052201934],"genre_scores_gemma":[0.0133773135,0.98207915,0.0025552914,0.00036481075,0.00043875258,0.00013774635,0.00067508337,0.00001851367,0.00035326817],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99002796,0.002908917,0.002583403,0.0009269436,0.0033225992,0.00023023883],"domain_scores_gemma":[0.9296688,0.055629246,0.0058502266,0.0009670837,0.007383698,0.000500865],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.012944399,0.0017345507,0.0034760681,0.076441884,0.0010523018,0.0055837813,0.0017351559,0.0014228827,0.0045300014],"category_scores_gemma":[0.04703966,0.0008943744,0.003276804,0.07917423,0.0014582236,0.006038652,0.001645918,0.0010458351,0.0011813944],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007737342,0.00007591366,0.0066117067,0.14116591,0.0011545435,0.00015743362,0.001006284,0.0011331211,0.0004125219,0.008641806,0.01883861,0.82072467],"study_design_scores_gemma":[0.000047802692,0.00026512487,0.063371256,0.19309463,0.0067964946,0.0013815892,0.0031950166,0.004414306,0.0016685948,0.015581541,0.70979124,0.00039234682],"about_ca_topic_score_codex":0.008980504,"about_ca_topic_score_gemma":0.0104967505,"teacher_disagreement_score":0.9235581,"about_ca_system_score_codex":0.0036689618,"about_ca_system_score_gemma":0.008592628,"threshold_uncertainty_score":0.068457365},"labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"split"},{"id":"W4405103492","doi":"10.1109/wipda62103.2024.10773038","title":"Improving Fault Current Interruption Capability of Contactors in EV Battery Packs with SiC MOSFET Commutation Circuit","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Contactor; Commutation; MOSFET; Electrical engineering; Current (fluid); Battery (electricity); Fault (geology); Short circuit; Materials science; Voltage; Electronic engineering; Engineering; Computer science; Transistor; Physics","score_opus":0.030197712425625477,"score_gpt":0.29909386114900144,"score_spread":0.26889614872337597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405103492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8226546,0.0024682884,0.16034216,0.00021910292,0.0001636259,0.00013072793,0.00022102591,0.0027485318,0.0110520935],"genre_scores_gemma":[0.9924764,0.00021711583,0.0052120276,0.000032619515,0.000017159435,0.0000126847835,0.000058994705,0.000023786875,0.0019491838],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999864,0.0000110482,0.000009802268,0.000023429715,0.00006719801,0.000024517136],"domain_scores_gemma":[0.9998254,0.000015435015,0.00003931967,0.00003264668,0.000073254676,0.000013937221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009018428,0.00033725347,0.00038865642,0.00043419364,0.00019835077,0.00033343324,0.0006040121,0.00035191083,0.0015604523],"category_scores_gemma":[0.00018835028,0.00009680059,0.00023075058,0.00038379544,0.00014954322,0.0005542086,0.00022427968,0.0002113136,0.00047367343],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037113667,0.000095627074,0.00244511,0.00034260564,0.000039956318,0.00032629922,0.00019113444,0.0027232163,0.8815615,0.00086521683,0.001458237,0.10957982],"study_design_scores_gemma":[0.00007092231,0.00245718,0.016322518,0.000053887892,0.00014553437,0.0020056325,0.00015509718,0.06304937,0.8939484,0.00072400103,0.021035055,0.000032369742],"about_ca_topic_score_codex":0.00058135064,"about_ca_topic_score_gemma":0.0009005406,"teacher_disagreement_score":0.0015604523,"about_ca_system_score_codex":0.00023206978,"about_ca_system_score_gemma":0.00012539585,"threshold_uncertainty_score":0.0052202344},"labels":[],"label_agreement":null},{"id":"W4405187692","doi":"10.3390/batteries10120437","title":"An AI-Driven Particle Filter Technology for Battery System State Estimation and RUL Prediction","year":2024,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Particle filter; Benchmark (surveying); Computer science; Battery (electricity); State of health; Degeneracy (biology); Nonlinear system; Artificial intelligence; Kalman filter; Power (physics)","score_opus":0.011319021247470886,"score_gpt":0.267884080513673,"score_spread":0.25656505926620216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405187692","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017824646,0.0000980205,0.99722433,0.00005299633,0.000036937083,0.000017930128,0.000014060076,0.0001663319,0.00060699374],"genre_scores_gemma":[0.42044118,0.0006805623,0.5738673,0.0002478396,0.00016249115,0.0003174727,0.00022734854,0.000055505603,0.0040002624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968565,0.000055567165,0.000022117723,0.00007666273,0.00013821904,0.000021735752],"domain_scores_gemma":[0.99946207,0.00025425173,0.000062101215,0.000043235057,0.0001601484,0.000018229799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069511984,0.0007080555,0.00054798723,0.0005694792,0.0004499056,0.00059276813,0.0009798594,0.0009701429,0.0010596486],"category_scores_gemma":[0.0021410394,0.0002903266,0.00062146626,0.00060072273,0.00036617514,0.00091140025,0.00055582786,0.001313742,0.00034856706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074881704,0.00007201125,0.0010067075,0.0001271841,0.00006489613,0.00009610271,0.00009080687,0.7539982,0.010131263,0.012653491,0.0018446741,0.21983972],"study_design_scores_gemma":[0.0000027700296,0.000016534445,0.000097855635,0.0000034642183,0.0000038680478,0.000013015764,0.0000022305198,0.9974164,0.00088747276,0.0010472988,0.00050529727,0.000003847038],"about_ca_topic_score_codex":0.0057904604,"about_ca_topic_score_gemma":0.0035892052,"teacher_disagreement_score":0.0057904604,"about_ca_system_score_codex":0.0005775996,"about_ca_system_score_gemma":0.00084852247,"threshold_uncertainty_score":0.011513531},"labels":[],"label_agreement":null},{"id":"W4405192693","doi":"10.1002/ente.202401331","title":"Transient Thermal Simulation of Lithium‐Ion Batteries for Hybrid/Electric Vehicles","year":2024,"lang":"en","type":"article","venue":"Energy Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Mitacs; Politecnico di Torino; University of Windsor","keywords":"Battery (electricity); Transient (computer programming); Automotive engineering; Thermal runaway; Nuclear engineering; Battery pack; Thermal; Coolant; Thermal conduction; Lithium-ion battery; Electric vehicle; Hybrid vehicle; Materials science; Engineering; Environmental science; Mechanical engineering; Computer science; Power (physics); Thermodynamics; Composite material","score_opus":0.010811207295019866,"score_gpt":0.25499328015620754,"score_spread":0.24418207286118768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405192693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72592765,0.0004502396,0.2276674,0.0003015953,0.00009178649,0.00017115085,0.0012574923,0.0019014277,0.042231213],"genre_scores_gemma":[0.99195576,0.00010217078,0.0040062196,0.000018904615,0.000004640712,0.00008878664,0.00027490803,0.00006253,0.0034859758],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990225,0.000024462512,0.0000051346874,0.000011901493,0.00003585002,0.000020337426],"domain_scores_gemma":[0.9998424,0.00007715189,0.000014118745,0.000013462516,0.000041799478,0.000011067122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020888151,0.00038840328,0.0004094861,0.00026949713,0.00037070454,0.0005533208,0.0006061338,0.0004971675,0.002906775],"category_scores_gemma":[0.00054316723,0.0002663773,0.0004968207,0.00031544353,0.0003239046,0.0005339172,0.00032434246,0.0003546074,0.00041600957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004401006,0.000017724633,0.0005249553,0.000022500746,0.000007998281,0.000040545747,0.000024798406,0.99431086,0.0022230952,0.0006356331,0.00023732288,0.0019106746],"study_design_scores_gemma":[0.0000065073787,0.000016084643,0.00022008648,0.00000303768,0.0000027784442,0.000007112166,0.000015934866,0.9976375,0.0014435477,0.0002851887,0.00035858026,0.0000036367849],"about_ca_topic_score_codex":0.010195735,"about_ca_topic_score_gemma":0.006099027,"teacher_disagreement_score":0.010195735,"about_ca_system_score_codex":0.000851104,"about_ca_system_score_gemma":0.0006467427,"threshold_uncertainty_score":0.020272791},"labels":[],"label_agreement":null},{"id":"W4405283720","doi":"10.3390/batteries10120439","title":"Comparative Analysis of Computational Times of Lithium-Ion Battery Management Solvers and Battery Models Under Different Programming Languages and Computing Architectures","year":2024,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Chinese Academy of Sciences","keywords":"Computer science; Battery (electricity); Lithium-ion battery; Lithium (medication); Computational science; Power (physics)","score_opus":0.018118791045679733,"score_gpt":0.294917218413217,"score_spread":0.27679842736753724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405283720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8972136,0.002556473,0.05688832,0.001160977,0.00031515028,0.00014806013,0.0021580292,0.0068140435,0.03274527],"genre_scores_gemma":[0.9413214,0.0012751583,0.048174713,0.00023080622,0.000034315446,0.00021421786,0.0038107482,0.0009348357,0.0040038424],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936825,0.00014165451,0.000056466662,0.000111361966,0.00017119254,0.00015113065],"domain_scores_gemma":[0.9981148,0.0010578322,0.00007790059,0.00017905734,0.00041196818,0.00015845305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008497661,0.0013229676,0.00086385355,0.00063146465,0.00071081636,0.0009743088,0.0015349736,0.00078259193,0.0051553487],"category_scores_gemma":[0.0041215015,0.00041314733,0.0009280943,0.0011275159,0.00055412936,0.0015963383,0.0009002618,0.0013471274,0.0007166407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011294346,0.00038994028,0.0092232255,0.0009412033,0.00024251228,0.00035254937,0.00035995667,0.8756167,0.007377264,0.007932604,0.009834101,0.08660055],"study_design_scores_gemma":[0.00007959546,0.00011515312,0.0015471906,0.000028992135,0.000043400494,0.000054411605,0.000180971,0.99008405,0.0042426367,0.0013781558,0.00222415,0.000021273332],"about_ca_topic_score_codex":0.022535954,"about_ca_topic_score_gemma":0.021508487,"teacher_disagreement_score":0.022535954,"about_ca_system_score_codex":0.00079622975,"about_ca_system_score_gemma":0.0026466162,"threshold_uncertainty_score":0.04480958},"labels":[],"label_agreement":null},{"id":"W4405441403","doi":"10.1109/icaige62696.2024.10776687","title":"State of Charge Estimation of Lithium-Ion Batteries Using Convolutional Neural Networks in Electric Vehicle Applications","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cegep de Trois-Rivieres; Cégep de l'Outaouais; Cegep de Thetford","funders":"","keywords":"Convolutional neural network; Lithium (medication); State of charge; Ion; Computer science; Estimation; State (computer science); Charge (physics); Electric vehicle; Artificial neural network; Artificial intelligence; Engineering; Physics; Algorithm; Battery (electricity); Systems engineering","score_opus":0.016366718119568267,"score_gpt":0.2787977948693157,"score_spread":0.26243107674974747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405441403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5564443,0.0031818189,0.4298226,0.0005655644,0.00012231088,0.000035557514,0.00037649047,0.0014924622,0.007958842],"genre_scores_gemma":[0.9880238,0.00042511005,0.009864179,0.000028061866,0.000010714667,0.000009857821,0.00015750268,0.000010712337,0.0014700717],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999417,0.000009025937,0.0000045448714,0.000015345015,0.000019939374,0.00000948301],"domain_scores_gemma":[0.999877,0.00003779411,0.000018907627,0.000009306123,0.0000526453,0.0000042492547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021269845,0.00043472645,0.0001992878,0.00034204975,0.0001332518,0.00041087676,0.0004141576,0.0003235762,0.0005748456],"category_scores_gemma":[0.00077624863,0.00020251371,0.00019838687,0.00035448093,0.0001461197,0.00053802767,0.00022300902,0.00027723843,0.00015745367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015660185,0.000060892922,0.009046727,0.00010491374,0.000056601682,0.00010971067,0.000060944043,0.80882335,0.017365517,0.002129328,0.0011607944,0.16092472],"study_design_scores_gemma":[0.0000011089932,0.000008776066,0.0011641047,0.000005246925,0.0000051654906,0.0000074044046,0.0000064756896,0.99454004,0.0036059201,0.0004018927,0.00024963942,0.00000418277],"about_ca_topic_score_codex":0.01669865,"about_ca_topic_score_gemma":0.018910237,"teacher_disagreement_score":0.01669865,"about_ca_system_score_codex":0.0006101511,"about_ca_system_score_gemma":0.00041056413,"threshold_uncertainty_score":0.033202946},"labels":[],"label_agreement":null},{"id":"W4405498984","doi":"10.2514/1.c038205","title":"Passive Thermal Management of an Electric Trainer Aircraft Battery Pack Considering Aging","year":2024,"lang":"en","type":"article","venue":"Journal of Aircraft","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Battery pack; Trainer; Battery (electricity); Automotive engineering; Aeronautics; Thermal management of electronic devices and systems; Aerospace engineering; Engineering; Marine engineering; Computer science; Mechanical engineering","score_opus":0.013569000638641462,"score_gpt":0.2675864069624758,"score_spread":0.25401740632383435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405498984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8970305,0.00025709358,0.09864533,0.00006061009,0.00002989167,0.00004717641,0.000080071804,0.00035310947,0.0034962506],"genre_scores_gemma":[0.99772114,0.000052407846,0.0011910914,0.000006521369,0.0000026546327,0.000008589363,0.000021058908,0.000008088939,0.0009885099],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99993014,0.000012164888,0.0000036454278,0.000017125818,0.00002236166,0.000014461958],"domain_scores_gemma":[0.99989796,0.000025512825,0.000019016561,0.000015224673,0.00003459607,0.0000076185925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014930543,0.00038017417,0.00032867544,0.00018570534,0.00021589237,0.0003840112,0.0004511199,0.00020730453,0.0009246366],"category_scores_gemma":[0.00027386917,0.00011651044,0.00021889621,0.00010639244,0.00025845302,0.0005879172,0.00028632837,0.0001568543,0.00017842656],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006787566,0.00016958288,0.0061002783,0.000362557,0.00005533237,0.0003706451,0.00026759272,0.6347284,0.29824644,0.0014501112,0.00057869515,0.056991648],"study_design_scores_gemma":[0.000021757038,0.000778124,0.004033895,0.000015634254,0.000064484324,0.00015862424,0.000087791144,0.92226255,0.07052907,0.0004956287,0.001537472,0.000015056496],"about_ca_topic_score_codex":0.0016185289,"about_ca_topic_score_gemma":0.0018543447,"teacher_disagreement_score":0.0016185289,"about_ca_system_score_codex":0.00026971407,"about_ca_system_score_gemma":0.00022322642,"threshold_uncertainty_score":0.003218174},"labels":[],"label_agreement":null},{"id":"W4405512883","doi":"10.1002/adts.202401016","title":"A Comprehensive Review of the Pseudo‐Two‐Dimensional (P2D) Model: Model Development, Solutions Methods, and Applications","year":2024,"lang":"en","type":"review","venue":"Advanced Theory and Simulations","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Zhejiang Normal University; Chinese Academy of Sciences","keywords":"Development (topology); Systems engineering; Computer science; Management science; Engineering; Mathematics","score_opus":0.06999209474621101,"score_gpt":0.4140060462818997,"score_spread":0.3440139515356887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405512883","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015365866,0.9587005,0.027670689,0.0007661235,0.0006348832,0.000048764585,0.00037217257,0.00013325668,0.010136952],"genre_scores_gemma":[0.010759388,0.9755045,0.009583554,0.00024960624,0.000336212,0.00009493203,0.00043938344,0.000042372092,0.0029901117],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997372,0.000048421913,0.00003796387,0.000047384383,0.00011383042,0.000015096852],"domain_scores_gemma":[0.99949896,0.00026344386,0.000041033116,0.00002608184,0.00015617943,0.000014350423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007329834,0.0011825929,0.0014032332,0.0024237563,0.0003523138,0.0011914059,0.0012946541,0.0010862128,0.004326631],"category_scores_gemma":[0.0014167528,0.0005713342,0.0012636418,0.0032960032,0.00036303455,0.0018562141,0.00063975307,0.0009534881,0.001883253],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006543622,0.00012965717,0.000696658,0.038159918,0.00023876961,0.00036155054,0.00020016973,0.03470243,0.0041929935,0.07837943,0.04691908,0.79595387],"study_design_scores_gemma":[0.000017235037,0.00016718279,0.00071346737,0.004800278,0.00031727838,0.0006073348,0.0001251376,0.028093176,0.0029331269,0.024581794,0.93754333,0.00010054246],"about_ca_topic_score_codex":0.0026709589,"about_ca_topic_score_gemma":0.0019948084,"teacher_disagreement_score":0.004326631,"about_ca_system_score_codex":0.0005590559,"about_ca_system_score_gemma":0.0015162578,"threshold_uncertainty_score":0.014474034},"labels":[],"label_agreement":null},{"id":"W4405519080","doi":"10.2316/j.2025.201-0469","title":"OPTIMISATION ANALYSIS OF ELECTRIC VEHICLE CHARGING AND DISCHARGING BASED ON BIDIRECTIONAL POWER CONVERTER BIPOLAR STRUCTURE, 119-125.","year":2024,"lang":"en","type":"article","venue":"Mechatronic systems and control","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electric vehicle; Power (physics); Automotive engineering; Electrical engineering; Computer science; Engineering; Physics","score_opus":0.004978243897021007,"score_gpt":0.21500337711386308,"score_spread":0.21002513321684207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405519080","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12208741,0.002459518,0.7546149,0.00045164282,0.00013589051,0.00019476429,0.00026381252,0.00025010304,0.11954197],"genre_scores_gemma":[0.945026,0.0010209609,0.030517522,0.000044584845,0.000021786476,0.000107382635,0.00014038285,0.00010406175,0.023017446],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992204,0.0000187662,0.0000022207241,0.0000066785437,0.000037234655,0.000013011518],"domain_scores_gemma":[0.9999434,0.000030872743,0.000006125715,0.0000035398864,0.000012939824,0.0000031878294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025890215,0.0003967461,0.00039023632,0.00027027525,0.00026470333,0.0007093725,0.00036338842,0.00044147635,0.0060148975],"category_scores_gemma":[0.0004591378,0.00031374235,0.00047721018,0.00034330442,0.000285198,0.000373989,0.00020366666,0.0003184917,0.00057399017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013589156,0.00005951061,0.0005466774,0.0003421072,0.000065543754,0.00014154521,0.00005230884,0.9089131,0.0209406,0.026943302,0.0017116661,0.04014779],"study_design_scores_gemma":[0.000015683583,0.000059811533,0.0004842568,0.000014712513,0.000020092215,0.000040592615,0.000023666513,0.98954916,0.002418877,0.0053754076,0.0019910778,0.0000066395232],"about_ca_topic_score_codex":0.002365335,"about_ca_topic_score_gemma":0.0035067499,"teacher_disagreement_score":0.0060148975,"about_ca_system_score_codex":0.0005658514,"about_ca_system_score_gemma":0.00055306876,"threshold_uncertainty_score":0.020121813},"labels":[],"label_agreement":null},{"id":"W4405641743","doi":"10.3390/batteries10120452","title":"Repurposing Second-Life EV Batteries to Advance Sustainable Development: A Comprehensive Review","year":2024,"lang":"en","type":"review","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Department of Defense","keywords":"Repurposing; Computer science; Environmental economics; Environmental science; Risk analysis (engineering); Architectural engineering; Business; Engineering; Waste management","score_opus":0.03974003056578726,"score_gpt":0.3360347922806723,"score_spread":0.296294761714885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405641743","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018562452,0.9984409,0.00012580039,0.00017267902,0.000107517015,0.000010477574,0.000028014021,0.0000047561266,0.00092415075],"genre_scores_gemma":[0.0007553684,0.99870145,0.00012648906,0.00011389505,0.000040955514,0.0000082526385,0.000023692228,0.0000010259174,0.00022889885],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996606,0.00006107493,0.000060103852,0.000052919488,0.00013324541,0.00003210002],"domain_scores_gemma":[0.99906224,0.0005010172,0.00013103812,0.000023122433,0.00024442977,0.000038187907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011322885,0.0009198714,0.0013482268,0.0037479105,0.00040393433,0.0014856127,0.000933155,0.0012444692,0.0045812973],"category_scores_gemma":[0.0017531719,0.00041499603,0.0011729527,0.004033146,0.0003310917,0.0019214072,0.00085975253,0.001131336,0.0011697799],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006984765,0.00009923462,0.00030218659,0.14001684,0.00027744088,0.00024015982,0.00020633411,0.00078218937,0.0021601904,0.007892868,0.022617219,0.82533544],"study_design_scores_gemma":[0.000013525677,0.00014013368,0.00085851696,0.027507884,0.00062980165,0.0006089263,0.0001565769,0.00015706656,0.0010017429,0.0020776412,0.9668179,0.000030325202],"about_ca_topic_score_codex":0.0019357067,"about_ca_topic_score_gemma":0.0039815702,"teacher_disagreement_score":0.0045812973,"about_ca_system_score_codex":0.00068108767,"about_ca_system_score_gemma":0.0029058037,"threshold_uncertainty_score":0.0153259635},"labels":[],"label_agreement":null},{"id":"W4405710091","doi":"10.1109/iceccme62383.2024.10796998","title":"EVs Performance and Charging Modelling: Comparison Between Simulation and Reality","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Computer science","score_opus":0.0894798221593798,"score_gpt":0.34794081050491477,"score_spread":0.258460988345535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405710091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80032873,0.0005753547,0.1540991,0.0004676996,0.00012745017,0.00014509419,0.0016347019,0.0014262645,0.04119557],"genre_scores_gemma":[0.99154186,0.00018334445,0.006277365,0.000020937945,0.0000074418763,0.000038376696,0.00045737496,0.000052153595,0.0014210908],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999793,0.000067447734,0.0000144699625,0.000022436257,0.000071666254,0.0000310898],"domain_scores_gemma":[0.9995521,0.00022056943,0.00002517386,0.000063762156,0.00012385716,0.000014689665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005095932,0.00042636818,0.0004885105,0.00048062103,0.0002667224,0.0008598046,0.00066690246,0.00060729694,0.0014941649],"category_scores_gemma":[0.0014174539,0.00016687014,0.0004894072,0.0004565441,0.0002453503,0.00071242225,0.0003363573,0.0003435123,0.00034206902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005550795,0.000028217088,0.0017502604,0.000034954683,0.000010258669,0.000022126733,0.000037274698,0.99023974,0.0006077441,0.0011088492,0.0003069909,0.005798081],"study_design_scores_gemma":[0.000009826523,0.000042737585,0.0007368474,0.00000860797,0.0000054228626,0.000016489037,0.000049161863,0.99647266,0.0009642612,0.00049398356,0.0011928728,0.0000070276174],"about_ca_topic_score_codex":0.012798578,"about_ca_topic_score_gemma":0.005808747,"teacher_disagreement_score":0.012798578,"about_ca_system_score_codex":0.0006479535,"about_ca_system_score_gemma":0.00057761144,"threshold_uncertainty_score":0.025448143},"labels":[],"label_agreement":null},{"id":"W4405731361","doi":"10.1007/s41918-024-00235-8","title":"Rechargeable Batteries for the Electrification of Society: Past, Present, and Future","year":2024,"lang":"en","type":"article","venue":"Electrochemical Energy Reviews","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Electrification; Battery (electricity); Commercialization; Energy storage; Obsolescence; Electronics; Nanotechnology; Engineering; Electricity; Computer science; Electrical engineering; Business; Materials science","score_opus":0.016637265352081817,"score_gpt":0.2697739735175371,"score_spread":0.2531367081654553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405731361","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00042532274,0.99235016,0.0007408979,0.0026993717,0.00097535545,0.0000046332957,0.0000122630445,0.000012363669,0.0027795879],"genre_scores_gemma":[0.004443182,0.9906657,0.00042761213,0.00074678194,0.0008082365,0.000007961909,0.000015462218,0.0000042138727,0.0028809437],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995372,0.000098536846,0.000038236354,0.000058165195,0.00020034437,0.00006755747],"domain_scores_gemma":[0.99941206,0.0002893991,0.000056087323,0.000022739154,0.00017544824,0.000044147517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013299804,0.00083156105,0.00085580285,0.00092169666,0.00032498597,0.0019681323,0.0012437624,0.0018953308,0.00675563],"category_scores_gemma":[0.00096348405,0.00025600105,0.0004181375,0.0016586304,0.00097232853,0.0045500495,0.0009187287,0.0018188623,0.002023706],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012519678,0.00016779611,0.00030700036,0.010458209,0.0000775682,0.00021446573,0.00021565943,0.00080390647,0.010113964,0.07118432,0.046149924,0.860182],"study_design_scores_gemma":[0.000018981094,0.00017154608,0.000361451,0.0016425126,0.00003853705,0.00037997108,0.00021890561,0.00034862754,0.0022224328,0.02057503,0.9739983,0.000023810193],"about_ca_topic_score_codex":0.0007115307,"about_ca_topic_score_gemma":0.0017905375,"teacher_disagreement_score":0.00675563,"about_ca_system_score_codex":0.00061787217,"about_ca_system_score_gemma":0.0010711484,"threshold_uncertainty_score":0.022599816},"labels":[],"label_agreement":null},{"id":"W4405740955","doi":"10.1016/j.segan.2024.101608","title":"Electric vehicle management in multi-energy systems","year":2024,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Atomic Energy (Canada)","funders":"","keywords":"Electric vehicle; Energy management; Systems engineering; Energy (signal processing); Engineering; Automotive engineering; Computer science; Physics; Power (physics)","score_opus":0.006481131769313995,"score_gpt":0.22540054548301444,"score_spread":0.21891941371370044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405740955","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26228073,0.006638912,0.62941235,0.0033978522,0.00089374336,0.00013463273,0.0004269371,0.00062571565,0.09618908],"genre_scores_gemma":[0.979889,0.00062325306,0.006431381,0.00006823623,0.00007727666,0.000015353671,0.000077881334,0.000025342644,0.012792328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999824,0.00004806792,0.000008822576,0.000045029414,0.000035126144,0.000038948718],"domain_scores_gemma":[0.9998348,0.000063166146,0.000021511092,0.000017347631,0.000043561893,0.000019777937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032045008,0.00032078143,0.0003666591,0.00030943356,0.0004063931,0.0013892798,0.00060118176,0.00049934274,0.0052416753],"category_scores_gemma":[0.0005979725,0.0001472963,0.00021663491,0.00051336776,0.00024995214,0.0017684139,0.00081518036,0.0004508731,0.0003998562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018175648,0.00011988637,0.0036399793,0.00017150001,0.000102679,0.00047259283,0.00009095432,0.78534466,0.004321478,0.057399116,0.006300354,0.14185512],"study_design_scores_gemma":[0.0000095265195,0.00005883361,0.0012605415,0.000025491105,0.000020547985,0.00013992566,0.00016722202,0.9528953,0.0014090895,0.032529354,0.011474138,0.000010052889],"about_ca_topic_score_codex":0.0020869889,"about_ca_topic_score_gemma":0.0030599309,"teacher_disagreement_score":0.0052416753,"about_ca_system_score_codex":0.0005768264,"about_ca_system_score_gemma":0.00039881197,"threshold_uncertainty_score":0.01753509},"labels":[],"label_agreement":null},{"id":"W4405754874","doi":"10.1109/icpics62053.2024.10796627","title":"Deep Learning-Based Battery Voltage Forecasting Using Current as Input: A Multi-Stage Approach for Time Series Prediction","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Series (stratigraphy); Time series; Current (fluid); Battery (electricity); Stage (stratigraphy); Artificial intelligence; Voltage; Machine learning; Engineering; Electrical engineering; Power (physics)","score_opus":0.061274382707816766,"score_gpt":0.30711311819733167,"score_spread":0.2458387354895149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405754874","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03574089,0.0010895958,0.95894605,0.00027580516,0.00013036688,0.000033588087,0.00022649475,0.0014119722,0.0021452203],"genre_scores_gemma":[0.86893076,0.0009483017,0.12560631,0.00016728752,0.00011458491,0.00008483955,0.00055950554,0.000085058455,0.003503297],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998536,0.000017733526,0.000012249706,0.000043459637,0.000046796493,0.000026028812],"domain_scores_gemma":[0.9997931,0.000078618534,0.00002686037,0.000021039583,0.0000684643,0.000012024059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034126526,0.00089549745,0.00059759815,0.00051831733,0.00020550028,0.00053771056,0.00093994034,0.0006237502,0.0011277599],"category_scores_gemma":[0.0009855838,0.0003575464,0.0006091264,0.00068808196,0.00017228696,0.00103308,0.00050371327,0.0012509866,0.00034002715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010162373,0.0000890477,0.0017833039,0.00011026261,0.00008216511,0.00012195126,0.000068835674,0.7478017,0.011203708,0.0030868535,0.001962176,0.23358837],"study_design_scores_gemma":[9.4641837e-7,0.000008950478,0.00013306644,0.000003152764,0.0000038256544,0.000006113716,0.0000024589742,0.9980465,0.00084883545,0.00075013016,0.00019344145,0.0000025162408],"about_ca_topic_score_codex":0.0071299844,"about_ca_topic_score_gemma":0.007529525,"teacher_disagreement_score":0.0071299844,"about_ca_system_score_codex":0.00050806085,"about_ca_system_score_gemma":0.00052137405,"threshold_uncertainty_score":0.014176965},"labels":[],"label_agreement":null},{"id":"W4405810597","doi":"10.3390/en18010042","title":"A Survey on Using Second-Life Batteries in Stationary Energy Storage Applications","year":2024,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Reuse; Energy storage; Environmental economics; Battery capacity; Process (computing); Key (lock); Business; Risk analysis (engineering); Engineering; Computer science; Waste management; Economics; Computer security","score_opus":0.029614073686039768,"score_gpt":0.2904848434072156,"score_spread":0.26087076972117584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405810597","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14567156,0.7161333,0.0166667,0.010261363,0.00095124595,0.0001824197,0.0024616458,0.00038455438,0.107287176],"genre_scores_gemma":[0.19608536,0.77177787,0.006173945,0.0031541814,0.00029403163,0.00009308031,0.0022924629,0.00013330634,0.019995771],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981166,0.00035333223,0.00025405744,0.00024920056,0.0008818689,0.0001448986],"domain_scores_gemma":[0.9928824,0.003684141,0.0007210526,0.00024669754,0.00230785,0.0001579551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024293824,0.00044241454,0.00040823375,0.0027060066,0.0005033231,0.001884633,0.00070883735,0.0008438544,0.0054638563],"category_scores_gemma":[0.005251518,0.00029984378,0.00053985155,0.006146024,0.0004854625,0.0037620023,0.0007940097,0.0008153454,0.0026533976],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016771015,0.00010269275,0.019943614,0.0059729875,0.00006356587,0.0003534325,0.0010138059,0.0009283663,0.0068724607,0.008692668,0.031655934,0.9242327],"study_design_scores_gemma":[0.0000054985485,0.00026499075,0.021103013,0.0028386093,0.00007985862,0.0022332203,0.002368012,0.0005572925,0.0065987087,0.0012816052,0.9626196,0.0000495454],"about_ca_topic_score_codex":0.002737628,"about_ca_topic_score_gemma":0.0044632093,"teacher_disagreement_score":0.0054638563,"about_ca_system_score_codex":0.00065941375,"about_ca_system_score_gemma":0.0011000868,"threshold_uncertainty_score":0.01827848},"labels":[],"label_agreement":null},{"id":"W4405895827","doi":"10.1016/j.est.2024.115234","title":"Improved performance of Li-ion battery thermal management system by ternary hybrid nanofluid","year":2024,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Nanofluid; Ternary operation; Battery (electricity); Materials science; Thermal; Thermal management of electronic devices and systems; Ion; Chemical engineering; Thermodynamics; Computer science; Engineering; Mechanical engineering; Chemistry; Physics","score_opus":0.005245789745992297,"score_gpt":0.20592442641547806,"score_spread":0.20067863666948577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405895827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937976,0.0009441768,0.003284458,0.000108364846,0.00010108559,0.000008789602,0.000090045614,0.00018645807,0.0014789397],"genre_scores_gemma":[0.9970072,0.00016278106,0.0012621735,0.00003178213,0.000009053432,0.000010600676,0.000058608446,0.0000101332525,0.0014477032],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991643,0.0000056255935,0.0000090450885,0.000020334533,0.000027971479,0.000020533831],"domain_scores_gemma":[0.999944,0.000007614149,0.000008546224,0.0000045724105,0.000027879436,0.000007311856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010863316,0.00023043004,0.00029438458,0.00017744963,0.000315396,0.00034080035,0.00037745488,0.00035594878,0.0013874117],"category_scores_gemma":[0.00017159314,0.00011787153,0.00017635223,0.00017802788,0.00013594596,0.00060939434,0.00029309216,0.00019849889,0.00024051142],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002085382,0.00002046839,0.00019773036,0.00009268549,0.000006295591,0.00004481443,0.000033505967,0.00029972533,0.993922,0.00020060624,0.00025388793,0.0047198837],"study_design_scores_gemma":[0.000011246509,0.00012559586,0.00046947482,0.000004553353,0.000014886975,0.000042200623,0.00002422255,0.0062329383,0.9920711,0.00003459913,0.0009592112,0.000009982087],"about_ca_topic_score_codex":0.0006181817,"about_ca_topic_score_gemma":0.0009937542,"teacher_disagreement_score":0.0013874117,"about_ca_system_score_codex":0.00033611865,"about_ca_system_score_gemma":0.00022526016,"threshold_uncertainty_score":0.004641354},"labels":[],"label_agreement":null},{"id":"W4405902561","doi":"10.26599/htrd.2024.9480036","title":"Joint optimization of bow-type fast charger locations and battery capacity for electric buses","year":2024,"lang":"en","type":"article","venue":"Journal of Highway and Transportation Research and Development (English Edition)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Education and Child Care","funders":"National Natural Science Foundation of China","keywords":"Battery capacity; Joint (building); Battery (electricity); Battery charger; Automotive engineering; Electrical engineering; Computer science; Electric cars; Engineering; Physics; Structural engineering; Power (physics)","score_opus":0.037336080210537775,"score_gpt":0.2753778168121793,"score_spread":0.23804173660164155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405902561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6502909,0.0011520574,0.33204496,0.00040485323,0.00008316069,0.0001907596,0.00052485766,0.0003271934,0.014981263],"genre_scores_gemma":[0.98582584,0.00021687285,0.01107617,0.000024335128,0.0000067578076,0.00006380223,0.00013589495,0.000025833557,0.002624466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997557,0.00007198098,0.000007876528,0.000047885784,0.000031807707,0.000084802115],"domain_scores_gemma":[0.99958104,0.00022079785,0.00006449429,0.000015906726,0.00006310485,0.000054621654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068984524,0.001312197,0.00093390886,0.0005351038,0.00034834645,0.0012463268,0.0006274622,0.0009084819,0.0029328594],"category_scores_gemma":[0.0013657211,0.0006939407,0.00059016875,0.00066990824,0.00049552956,0.0009847366,0.0007488221,0.0006577583,0.00030751634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047024434,0.000028312435,0.0005308947,0.00003702395,0.000012050607,0.000050116192,0.000012510471,0.992902,0.0007437998,0.0007676309,0.00027689664,0.004591674],"study_design_scores_gemma":[0.000014257102,0.00010401231,0.0005745311,0.000006609461,0.000016687183,0.000012986934,0.00005813295,0.99787104,0.0003924027,0.00064053485,0.00030237762,0.000006506029],"about_ca_topic_score_codex":0.010495201,"about_ca_topic_score_gemma":0.010689986,"teacher_disagreement_score":0.010495201,"about_ca_system_score_codex":0.0009764313,"about_ca_system_score_gemma":0.001268925,"threshold_uncertainty_score":0.020868182},"labels":[],"label_agreement":null},{"id":"W4405998029","doi":"10.1016/j.icheatmasstransfer.2024.108539","title":"Experimental estimation of heat generating parameters for battery module using inverse prediction method","year":2025,"lang":"en","type":"article","venue":"International Communications in Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Inverse; Battery (electricity); Computer science; Materials science; Inverse method; Applied mathematics; Thermodynamics; Power (physics); Mathematics; Physics","score_opus":0.06119218319149176,"score_gpt":0.3724553625002141,"score_spread":0.3112631793087223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405998029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96977735,0.000102529746,0.02616854,0.0000501552,0.000042329753,0.000037212158,0.0004111038,0.0004635792,0.0029472115],"genre_scores_gemma":[0.9972662,0.000023847939,0.0020037673,0.000005791673,0.0000023297423,0.000021497282,0.00009913546,0.000014195752,0.00056314876],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982053,0.000028995712,0.000011148989,0.00004324363,0.00006876391,0.000027244872],"domain_scores_gemma":[0.99960226,0.0001446212,0.00002493979,0.00007562674,0.0001388754,0.000013734471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027816114,0.00033789568,0.00022790224,0.00018712107,0.00030716648,0.0002294426,0.0005796396,0.00049098046,0.002609075],"category_scores_gemma":[0.00077399943,0.00015018313,0.00021093636,0.00024209847,0.0002709182,0.0004766131,0.00020362667,0.000316965,0.0004766676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010016744,0.00031056185,0.008002868,0.0004331486,0.000037857455,0.00018447092,0.00050395995,0.026551468,0.90133184,0.00063507777,0.0013536353,0.059653584],"study_design_scores_gemma":[0.00003874592,0.00090242736,0.015491971,0.000017357208,0.000035143235,0.00014773311,0.00022139984,0.07898209,0.9019496,0.00020876806,0.0019720998,0.000032778535],"about_ca_topic_score_codex":0.0005721047,"about_ca_topic_score_gemma":0.0006908031,"teacher_disagreement_score":0.002609075,"about_ca_system_score_codex":0.00012661093,"about_ca_system_score_gemma":0.00016260473,"threshold_uncertainty_score":0.008728206},"labels":[],"label_agreement":null},{"id":"W4406072036","doi":"10.1016/j.geits.2024.100250","title":"Interpretable machine learning models for predicting Ebus battery consumption rates in cold climates with and without diesel auxiliary heating","year":2025,"lang":"en","type":"article","venue":"Green Energy and Intelligent Transportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Battery (electricity); Diesel fuel; Consumption (sociology); Environmental science; Automotive engineering; Engineering; Thermodynamics; Physics","score_opus":0.020571492946107252,"score_gpt":0.25967036858194437,"score_spread":0.23909887563583712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406072036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8679191,0.0011248701,0.120056346,0.0006773404,0.00011048729,0.00014827916,0.0036791412,0.0014344241,0.004849978],"genre_scores_gemma":[0.9835812,0.00021499452,0.012509451,0.000045784316,0.000016654567,0.00007224004,0.002169453,0.00002539712,0.0013648047],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980396,0.0000546205,0.000011627966,0.00004660093,0.000032306132,0.000050896077],"domain_scores_gemma":[0.9990909,0.00056747627,0.00007266335,0.00002742382,0.00021288439,0.00002869883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010431892,0.0012135763,0.0005724066,0.000708042,0.00044719756,0.0009655521,0.0010021405,0.0008593713,0.0010027178],"category_scores_gemma":[0.002446946,0.00031540383,0.0009020099,0.0006250848,0.0002888977,0.00037662624,0.00035977556,0.0010512678,0.0002719453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038033966,0.000031790965,0.0036613045,0.000019633813,0.000025828944,0.000020362115,0.000015171807,0.98914135,0.00023119342,0.00020988121,0.00035100317,0.0062544453],"study_design_scores_gemma":[0.0000033863098,0.000009508615,0.0013989407,0.000005379586,0.000006741357,0.0000031164031,0.00001178855,0.99806994,0.00015860316,0.00021352159,0.00011484426,0.0000043125433],"about_ca_topic_score_codex":0.24970745,"about_ca_topic_score_gemma":0.18514486,"teacher_disagreement_score":0.24970745,"about_ca_system_score_codex":0.0017958619,"about_ca_system_score_gemma":0.0017108864,"threshold_uncertainty_score":0.496508},"labels":[],"label_agreement":null},{"id":"W4406080131","doi":"10.1016/j.etran.2024.100390","title":"Advances and perspectives in fire safety of lithium-ion battery energy storage systems","year":2025,"lang":"en","type":"article","venue":"eTransportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":97,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; Youth Innovation Promotion Association of the Chinese Academy of Sciences; China Scholarship Council; Concordia University; National Natural Science Foundation of China","keywords":"Energy storage; Battery (electricity); Lithium (medication); Lithium-ion battery; Computer science; Systems engineering; Materials science; Environmental science; Engineering; Medicine; Physics; Psychiatry","score_opus":0.010200803715483603,"score_gpt":0.24886723488957618,"score_spread":0.23866643117409259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406080131","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0366506,0.8300214,0.03138358,0.01128818,0.0019762,0.000033295542,0.0001937656,0.00015029684,0.08830258],"genre_scores_gemma":[0.48334083,0.47903445,0.010178595,0.001524909,0.002815798,0.000048339512,0.00028845674,0.000041587296,0.022727003],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997509,0.000041759995,0.000019019424,0.00004599526,0.00010227361,0.000039949868],"domain_scores_gemma":[0.99939907,0.00019654396,0.00006508827,0.000032483065,0.0002753732,0.000031542153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009533592,0.00047970403,0.00043599348,0.00071740156,0.00032007086,0.001720168,0.0007102055,0.0011253695,0.0060622375],"category_scores_gemma":[0.000811039,0.00011842199,0.00036149545,0.00078881107,0.0007127696,0.002569746,0.00066867337,0.00080164766,0.0010629917],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063922786,0.00028102056,0.003457773,0.004661756,0.000074815034,0.0005444122,0.0003951907,0.01511105,0.034604575,0.22604033,0.014476621,0.6997132],"study_design_scores_gemma":[0.000057643378,0.0013590002,0.0038052925,0.0019124652,0.00012466391,0.0014159366,0.001243549,0.043570735,0.0437054,0.16669533,0.7359748,0.00013520852],"about_ca_topic_score_codex":0.00078047643,"about_ca_topic_score_gemma":0.00080488354,"teacher_disagreement_score":0.0060622375,"about_ca_system_score_codex":0.000798173,"about_ca_system_score_gemma":0.00083149335,"threshold_uncertainty_score":0.020280182},"labels":[],"label_agreement":null},{"id":"W4406138090","doi":"10.1109/esars-itec60450.2024.10819931","title":"Impact Assessment of Electric Vehicles Charging on the Loss of Life of Distribution Transformers","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Collège Shawinigan; Université du Québec à Trois-Rivières","funders":"","keywords":"Transformer; Distribution transformer; Automotive engineering; Electrical engineering; Engineering; Computer science; Environmental science; Reliability engineering; Voltage","score_opus":0.01587443889583919,"score_gpt":0.3111001475370858,"score_spread":0.29522570864124664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406138090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9554594,0.00018508427,0.041464645,0.00004852692,0.000013407205,0.000069203896,0.00021746638,0.00010886595,0.002433357],"genre_scores_gemma":[0.99854624,0.000058217403,0.0010853581,0.0000022576849,0.0000022863355,0.0000086985865,0.00007224966,0.0000040942878,0.00022052258],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953365,0.00012918269,0.000024625388,0.000050952873,0.00020255856,0.000058994803],"domain_scores_gemma":[0.9991441,0.00043868768,0.0001241303,0.000056800378,0.00020381583,0.000032486303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008837045,0.00076161243,0.0003286911,0.0010247423,0.00016598609,0.0005824438,0.00033079166,0.00032727057,0.00059698167],"category_scores_gemma":[0.001988938,0.0001567961,0.000570757,0.0006595904,0.00022856377,0.00064919784,0.00035925236,0.00024699562,0.00010441596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062495726,0.0001549061,0.034584112,0.000116539624,0.00008165283,0.00034604318,0.00008942359,0.90977126,0.015203708,0.00088696514,0.00022058631,0.037919834],"study_design_scores_gemma":[0.000007154721,0.0003694812,0.022072764,0.000007757293,0.000054944776,0.000100956415,0.000084645806,0.9670757,0.00963865,0.00035344865,0.0002198965,0.000014583261],"about_ca_topic_score_codex":0.002816395,"about_ca_topic_score_gemma":0.0016068867,"teacher_disagreement_score":0.002816395,"about_ca_system_score_codex":0.000705836,"about_ca_system_score_gemma":0.00029562772,"threshold_uncertainty_score":0.0055999756},"labels":[],"label_agreement":null},{"id":"W4406171436","doi":"10.1016/j.jpowsour.2024.236108","title":"Understanding the impact of recent usage on lithium-ion battery impedance through the relaxation phenomena","year":2025,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; McMaster University; Ford Motor Company","keywords":"Battery (electricity); Lithium (medication); Electrical impedance; Lithium-ion battery; Relaxation (psychology); Ion; Materials science; Engineering physics; Electrical engineering; Computer science; Engineering; Chemistry; Physics; Psychology; Thermodynamics; Psychiatry; Neuroscience; Power (physics)","score_opus":0.054220461738299745,"score_gpt":0.32051256354015584,"score_spread":0.2662921018018561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406171436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97075146,0.0021135516,0.015018975,0.00073366106,0.00006941763,0.000021453572,0.00026085228,0.00010703876,0.0109236445],"genre_scores_gemma":[0.99706167,0.0007499766,0.0008090247,0.000062475134,0.000022146009,0.000005917156,0.000111993955,0.000019073146,0.0011577266],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99992704,0.000009564267,0.0000037853658,0.000019132083,0.00002349165,0.000016931732],"domain_scores_gemma":[0.9996092,0.0001838457,0.000088343746,0.000028640314,0.00007055942,0.000019540723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029255502,0.00016422382,0.00017347168,0.00024157159,0.00013308838,0.00050199183,0.00037293657,0.00039289202,0.002720522],"category_scores_gemma":[0.001702969,0.00010447024,0.00015161725,0.00032005255,0.0002559908,0.0018246938,0.00026862367,0.00048545605,0.00037940263],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009457041,0.00044892976,0.050947685,0.0009045784,0.00013620517,0.0014113903,0.0011408093,0.03746449,0.76107043,0.019359272,0.0017292409,0.12444132],"study_design_scores_gemma":[0.00012430482,0.0018059574,0.21546946,0.00023786882,0.00032949785,0.0017758608,0.0021390582,0.418919,0.30108306,0.030802356,0.027124379,0.00018929124],"about_ca_topic_score_codex":0.0006840967,"about_ca_topic_score_gemma":0.0010658711,"teacher_disagreement_score":0.002720522,"about_ca_system_score_codex":0.00018520739,"about_ca_system_score_gemma":0.00015119641,"threshold_uncertainty_score":0.009101093},"labels":[],"label_agreement":null},{"id":"W4406192650","doi":"10.3390/batteries11010020","title":"Cell Architecture Design for Fast-Charging Lithium-Ion Batteries in Electric Vehicles","year":2025,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Lithium (medication); Ion; Architecture; Computer science; Automotive engineering; Materials science; Environmental science; Chemistry; Engineering","score_opus":0.013901759959714747,"score_gpt":0.24925870075679896,"score_spread":0.23535694079708422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406192650","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13618729,0.06303674,0.7124172,0.0015915824,0.0021537696,0.00042152972,0.0011436009,0.0015517724,0.08149658],"genre_scores_gemma":[0.64955765,0.0458264,0.26598373,0.0006015477,0.00033390103,0.0005092592,0.0015019774,0.00035337612,0.035332154],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998103,0.000018756122,0.000016508851,0.000029385057,0.000105303916,0.00001964358],"domain_scores_gemma":[0.99986255,0.0000139785525,0.000011083675,0.000010670894,0.0000953656,0.00000630219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029170638,0.0003817653,0.00036900907,0.00040201738,0.00037022843,0.00096091203,0.0009793162,0.0007152147,0.0018497214],"category_scores_gemma":[0.00041425627,0.00020479746,0.00037820195,0.00042577786,0.00020149809,0.0010115404,0.00042917064,0.00046695667,0.0015481146],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016650606,0.00007597937,0.0024970123,0.0037815315,0.000074974894,0.00055171025,0.00048118498,0.04862782,0.4660851,0.06547311,0.0104889255,0.40169612],"study_design_scores_gemma":[0.000037316542,0.00065172976,0.0017169563,0.00033839938,0.00014546717,0.0017510472,0.00036338103,0.067937516,0.36773,0.010655455,0.5485664,0.00010642849],"about_ca_topic_score_codex":0.00072496355,"about_ca_topic_score_gemma":0.0012100852,"teacher_disagreement_score":0.0018497214,"about_ca_system_score_codex":0.000597482,"about_ca_system_score_gemma":0.00038222375,"threshold_uncertainty_score":0.006187916},"labels":[],"label_agreement":null},{"id":"W4406220085","doi":"10.3390/batteries11010021","title":"Adaptive Transfer Learning Strategy for Predicting Battery Aging in Electric Vehicles","year":2025,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ford Motor Company","keywords":"Battery (electricity); Transfer of learning; Computer science; Transfer (computing); Automotive engineering; Artificial intelligence; Power (physics); Engineering","score_opus":0.02027321578401078,"score_gpt":0.27089509542684764,"score_spread":0.2506218796428369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406220085","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2978389,0.0004985764,0.6971294,0.00037634844,0.000101883095,0.00013044053,0.00015576411,0.0014763429,0.002292253],"genre_scores_gemma":[0.9625478,0.00007269807,0.035555623,0.00007197868,0.00002631554,0.000071694376,0.00015512116,0.000029876488,0.001468945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976176,0.00006491863,0.000018182596,0.00006921105,0.000053749573,0.000032169373],"domain_scores_gemma":[0.99925977,0.0003231345,0.000056162004,0.00006222949,0.00026534655,0.000033400407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011600836,0.00071489206,0.0005849105,0.00069850124,0.00028275183,0.0004865925,0.0011552899,0.00075687736,0.0010921608],"category_scores_gemma":[0.003476228,0.00024018648,0.0005017206,0.0005193447,0.00040395957,0.0010123912,0.00075116643,0.0008938999,0.00035632818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012311562,0.0001364023,0.0035113827,0.000025932259,0.000051401043,0.00006831706,0.000050519902,0.87166965,0.0028760335,0.0008526259,0.00062483276,0.120009795],"study_design_scores_gemma":[0.0000018767853,0.000022362907,0.00019871524,0.0000012314423,0.0000021878884,0.000004179214,0.000005216237,0.99866784,0.00057262526,0.00046508643,0.000056446628,0.000002212195],"about_ca_topic_score_codex":0.0065631988,"about_ca_topic_score_gemma":0.0032375217,"teacher_disagreement_score":0.0065631988,"about_ca_system_score_codex":0.0005797214,"about_ca_system_score_gemma":0.0006469536,"threshold_uncertainty_score":0.01304996},"labels":[],"label_agreement":null},{"id":"W4406526193","doi":"10.3390/batteries11010031","title":"Battery Health Monitoring and Remaining Useful Life Prediction Techniques: A Review of Technologies","year":2025,"lang":"en","type":"review","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Computer science; Environmental science; Power (physics)","score_opus":0.04434309625035814,"score_gpt":0.3495405438705757,"score_spread":0.30519744762021755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406526193","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004860009,0.99484694,0.0018206551,0.00032919282,0.00023463386,0.000017443119,0.00008093325,0.000031560627,0.0021526185],"genre_scores_gemma":[0.0026508262,0.9948102,0.0013375045,0.00013351825,0.0002227556,0.000020086622,0.000096374606,0.000005826389,0.00072288606],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995109,0.000057292396,0.00007172287,0.000115278875,0.00021599006,0.00002880326],"domain_scores_gemma":[0.9991412,0.0004556691,0.000096381875,0.000028097074,0.0002537141,0.00002498205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008802287,0.0011277583,0.0016408922,0.0028203507,0.0003372443,0.0013293567,0.0012755807,0.0012091594,0.0035175986],"category_scores_gemma":[0.0015060647,0.00044911247,0.0010466909,0.0036704228,0.00039939105,0.0022073141,0.00061709806,0.0011074867,0.0016921713],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005761842,0.000091959366,0.00047908892,0.024168413,0.000114665854,0.000115128154,0.00007467429,0.001972319,0.002478219,0.0071163205,0.014161924,0.9491696],"study_design_scores_gemma":[0.000014035971,0.00030050753,0.0019599234,0.0077897646,0.00042276952,0.0011958609,0.00014729933,0.0022819391,0.0030162241,0.0061907023,0.9765911,0.000089947345],"about_ca_topic_score_codex":0.0017533688,"about_ca_topic_score_gemma":0.0014922539,"teacher_disagreement_score":0.0035175986,"about_ca_system_score_codex":0.0005389125,"about_ca_system_score_gemma":0.0013354898,"threshold_uncertainty_score":0.011767566},"labels":[],"label_agreement":null},{"id":"W4406670500","doi":"10.1016/b978-0-08-052042-1.50030-4","title":"10.1016/b978-0-08-052042-1.50030-4","year":2000,"lang":"en","type":"book-chapter","venue":"Time to knit","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Battery (electricity); Electrical engineering; Automotive engineering; Computer science; Materials science; Engineering; Physics; Power (physics)","score_opus":0.010816805720216215,"score_gpt":0.19583940605615355,"score_spread":0.18502260033593734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406670500","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016841792,0.0003405021,0.00078360125,0.00022253057,0.0001308986,0.000032668835,0.00049055176,0.00069326925,0.99713755],"genre_scores_gemma":[0.0004534493,0.0002047645,0.00028229324,0.0000794441,0.000025912035,0.000023091477,0.00028578023,0.00018463892,0.99846053],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996575,0.000019283338,0.000019175306,0.00011169822,0.00013109094,0.00006120698],"domain_scores_gemma":[0.99880755,0.00036561413,0.00007852734,0.0001738799,0.00026176704,0.00031263987],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007036113,0.0017241996,0.0011159265,0.0015971723,0.0012512703,0.0044361297,0.002303046,0.0036841787,0.97314215],"category_scores_gemma":[0.0012684689,0.00072157965,0.0007382456,0.0019240471,0.0010146053,0.0038407883,0.002280286,0.0019046556,0.9869016],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012404533,0.00009349789,0.00035161106,0.00040108708,0.000016969114,0.00012389352,0.00008734223,0.00032569142,0.0028444424,0.00818174,0.39012408,0.5973255],"study_design_scores_gemma":[0.00001238146,0.00003312572,0.00038063058,0.00017529022,0.000005788553,0.00015005669,0.00006296783,0.00010971966,0.00031128162,0.0009506114,0.99779886,0.000009223214],"about_ca_topic_score_codex":0.0033224972,"about_ca_topic_score_gemma":0.0033737016,"teacher_disagreement_score":0.026857853,"about_ca_system_score_codex":0.0009308503,"about_ca_system_score_gemma":0.00074672356,"threshold_uncertainty_score":0.038309395},"labels":[],"label_agreement":null},{"id":"W4406671978","doi":"10.1016/b978-0-08-051702-5.50014-0","title":"10.1016/b978-0-08-051702-5.50014-0","year":2000,"lang":"en","type":"book-chapter","venue":"Time to knit","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electronic circuit; Power (physics); Electrical engineering; Computer science; Engineering; Physics","score_opus":0.01057276883095733,"score_gpt":0.19542494336886043,"score_spread":0.1848521745379031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406671978","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014798563,0.00032339685,0.00077747664,0.00020420049,0.00012870968,0.00003092643,0.00039053048,0.00065353507,0.9973431],"genre_scores_gemma":[0.00041060953,0.00021144997,0.00027765933,0.000080014484,0.000025815336,0.000021132526,0.00024531173,0.00018517915,0.9985429],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99967825,0.000018052619,0.000017624963,0.00010247754,0.00012921961,0.000054451943],"domain_scores_gemma":[0.99881196,0.00035058398,0.00007211206,0.00017311261,0.00026014334,0.00033202438],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006881603,0.0016439056,0.0010374868,0.0016181159,0.001213136,0.004682405,0.0021949615,0.0035863037,0.9716903],"category_scores_gemma":[0.001245549,0.0007132616,0.0007417211,0.00184254,0.0010067457,0.0038732928,0.0023647028,0.0017898132,0.9858472],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000104477105,0.000084254425,0.0003117695,0.00036257473,0.0000145388285,0.00011209612,0.00008297966,0.00027295385,0.0026375463,0.008061559,0.40230957,0.5856457],"study_design_scores_gemma":[0.000010856731,0.000029655146,0.00034329898,0.00016868552,0.000005184416,0.00014791642,0.00005985125,0.00009617829,0.00028493968,0.0009084861,0.99793637,0.000008531816],"about_ca_topic_score_codex":0.0032224965,"about_ca_topic_score_gemma":0.0033564873,"teacher_disagreement_score":0.028309703,"about_ca_system_score_codex":0.0008984849,"about_ca_system_score_gemma":0.0007545132,"threshold_uncertainty_score":0.0403803},"labels":[],"label_agreement":null},{"id":"W4406672356","doi":"10.1016/b978-0-08-051134-4.50005-3","title":"10.1016/b978-0-08-051134-4.50005-3","year":2000,"lang":"en","type":"book-chapter","venue":"Time to knit","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Battery (electricity); Electronic circuit; Electrical engineering; Computer science; Automotive engineering; Reliability engineering; Engineering; Physics; Power (physics)","score_opus":0.010515135779105306,"score_gpt":0.1951731381833474,"score_spread":0.18465800240424207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406672356","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00017103544,0.00038236516,0.00091295305,0.00020785978,0.00014550224,0.000034628334,0.00052360375,0.0007571281,0.996865],"genre_scores_gemma":[0.0004542575,0.00021425798,0.000309903,0.00007119196,0.000025677591,0.000022785998,0.00030084216,0.00019315584,0.9984079],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996604,0.000019251236,0.000017759121,0.0001096904,0.0001340555,0.000058819303],"domain_scores_gemma":[0.9988921,0.0003414635,0.000069546615,0.00017322808,0.00024389128,0.0002797588],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006610507,0.0016435237,0.0011400882,0.0016264546,0.0011705133,0.004298563,0.002275313,0.0033475112,0.97124916],"category_scores_gemma":[0.0011684335,0.00071549765,0.00072827353,0.0019684772,0.0010009558,0.0035888285,0.0022623364,0.001836413,0.985876],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012030271,0.00008780994,0.0003348956,0.00040975484,0.000017364488,0.000115967276,0.00007696371,0.00030931152,0.0030504381,0.008131372,0.38535956,0.6019863],"study_design_scores_gemma":[0.000011754715,0.000032799828,0.0003706533,0.00016771944,0.0000058915643,0.00015620369,0.00005364558,0.00011096515,0.00034190383,0.0009157263,0.9978236,0.000009104188],"about_ca_topic_score_codex":0.0029135577,"about_ca_topic_score_gemma":0.0031200233,"teacher_disagreement_score":0.028750837,"about_ca_system_score_codex":0.00085789536,"about_ca_system_score_gemma":0.000686091,"threshold_uncertainty_score":0.041009605},"labels":[],"label_agreement":null},{"id":"W4406792531","doi":"10.1016/j.est.2025.115476","title":"Spatial extrapolation of temperature measurements in second-life battery packs using simplified thermal network modelling","year":2025,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Canada Foundation for Innovation; Nova Scotia Research Innovation Trust; Ryerson University; Natural Sciences and Engineering Research Council of Canada; Toronto Metropolitan University","keywords":"Extrapolation; Battery (electricity); Thermal; Environmental science; Computer science; Simulation; Physics; Mathematics; Statistics; Meteorology; Thermodynamics","score_opus":0.03471941122428804,"score_gpt":0.26689430635794065,"score_spread":0.2321748951336526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406792531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75764793,0.0004419453,0.23100394,0.00023121688,0.00007753079,0.000055799628,0.0007038887,0.0012309025,0.008606896],"genre_scores_gemma":[0.99535406,0.000106519496,0.0036843906,0.00001428816,0.000005488948,0.000013224234,0.00014409571,0.000029366985,0.00064853893],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991,0.00001705464,0.0000053639424,0.000021181932,0.00003221676,0.00001418252],"domain_scores_gemma":[0.99963796,0.00015988233,0.000028921546,0.0000639468,0.00010096305,0.000008271744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019761716,0.00035353733,0.00025643883,0.00024396284,0.00017981081,0.0003316686,0.0005218635,0.00047156686,0.00078177085],"category_scores_gemma":[0.001263602,0.00025688566,0.00041278434,0.00043704853,0.00026755602,0.0008092788,0.0003118202,0.00046108296,0.00027099025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012726638,0.000034156463,0.003131353,0.00006896164,0.000014136461,0.00011276876,0.000078913945,0.9716401,0.014937204,0.00080822984,0.00025985375,0.008787027],"study_design_scores_gemma":[0.0000034644702,0.000014096073,0.0013484617,0.000004187354,0.0000034245065,0.000014920002,0.000012174402,0.9943963,0.0038334648,0.00023957051,0.00012509486,0.0000048399415],"about_ca_topic_score_codex":0.010449764,"about_ca_topic_score_gemma":0.0071805352,"teacher_disagreement_score":0.010449764,"about_ca_system_score_codex":0.00052125135,"about_ca_system_score_gemma":0.00035726512,"threshold_uncertainty_score":0.020777881},"labels":[],"label_agreement":null},{"id":"W4406848873","doi":"10.1016/j.heliyon.2025.e42263","title":"Study of different thermal management systems for traction batteries to obtain vehicle lightweighting","year":2025,"lang":"en","type":"article","venue":"Heliyon","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Resources Canada; Ministero dell’Istruzione, dell’Università e della Ricerca; European Commission","keywords":"Traction (geology); Thermal management of electronic devices and systems; Engineering; Mechanical engineering; Automotive engineering; Thermal; Manufacturing engineering; Computer science; Physics","score_opus":0.018835140872887037,"score_gpt":0.28489703315546516,"score_spread":0.26606189228257815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406848873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9012154,0.0014344843,0.07519195,0.00019794644,0.00009355814,0.0001926136,0.00027943877,0.00028946236,0.021105124],"genre_scores_gemma":[0.9962715,0.00022403622,0.0017162561,0.000006745504,0.000004671654,0.000028507658,0.000040544262,0.000009890288,0.0016979832],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999379,0.000011235994,0.0000030441788,0.00001066354,0.000022495755,0.000014594025],"domain_scores_gemma":[0.99988985,0.000049216127,0.000010404046,0.000008600648,0.00003649269,0.00000551988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015844604,0.0002936163,0.00035057543,0.00031909224,0.0001989728,0.00044708612,0.00036509894,0.0002584316,0.0023062264],"category_scores_gemma":[0.00046638394,0.00011623601,0.00038545477,0.0002074742,0.0001480824,0.00031707683,0.00014266116,0.00022337867,0.00023836731],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004055602,0.0002902452,0.0034020606,0.0006792328,0.00010037735,0.00019999215,0.00022356636,0.8461736,0.061934393,0.0046931603,0.0011456377,0.08075222],"study_design_scores_gemma":[0.000035737376,0.0005504826,0.0017124268,0.00002618243,0.00006250525,0.000035934198,0.00010538365,0.9752794,0.018424394,0.0009775714,0.002779026,0.000011078432],"about_ca_topic_score_codex":0.0026047335,"about_ca_topic_score_gemma":0.0026855986,"teacher_disagreement_score":0.0026047335,"about_ca_system_score_codex":0.0003738494,"about_ca_system_score_gemma":0.00028858936,"threshold_uncertainty_score":0.007715106},"labels":[],"label_agreement":null},{"id":"W4406883998","doi":"10.1016/j.jpowsour.2025.236311","title":"Improving lithium-ion battery safety through separators with thermal shutdown characteristics induced by thermal expansion microspheres","year":2025,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Eusko Jaurlaritza; Hezkuntza, Hizkuntza Politika Eta Kultura Saila, Eusko Jaurlaritza; European Commission; CMC Microsystems","keywords":"Shutdown; Lithium (medication); Microsphere; Battery (electricity); Materials science; Thermal; Ion; Nuclear engineering; Lithium-ion battery; Thermal expansion; Chemical engineering; Chemistry; Composite material; Engineering; Physics; Thermodynamics","score_opus":0.006556805244082733,"score_gpt":0.23907702279843393,"score_spread":0.2325202175543512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406883998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9841174,0.0011602741,0.013644943,0.00006624065,0.000020300467,0.000024158655,0.00010969568,0.00025060095,0.0006064008],"genre_scores_gemma":[0.9888666,0.0007218502,0.008395615,0.000028731529,0.000014828505,0.00004311756,0.00015750571,0.000050143426,0.001721494],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998568,0.000013453124,0.000014795416,0.000028523862,0.000057705238,0.000028664053],"domain_scores_gemma":[0.999767,0.00003313366,0.00010301697,0.000017826636,0.000057156052,0.000021899845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018173909,0.00043000624,0.00028358147,0.0002459818,0.00013430549,0.0003091714,0.00024008965,0.00038777152,0.0005416181],"category_scores_gemma":[0.00025750633,0.00021723848,0.00037949995,0.0001859573,0.00017448826,0.00059550523,0.00027791355,0.00036802242,0.0002358042],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003693158,0.0000066558705,0.00010038604,0.000033952012,0.0000047784874,0.00003289998,0.000013526588,0.000116691524,0.9980719,0.000048875838,0.000024653971,0.0015087913],"study_design_scores_gemma":[0.000005964786,0.0000680261,0.00056028186,0.0000016645545,0.000011043436,0.00006741301,0.0000050791205,0.00083441916,0.99778336,0.000010250902,0.000647649,0.0000048966826],"about_ca_topic_score_codex":0.00027419155,"about_ca_topic_score_gemma":0.00040981642,"teacher_disagreement_score":0.0005416181,"about_ca_system_score_codex":0.0002285847,"about_ca_system_score_gemma":0.00017080079,"threshold_uncertainty_score":0.0018119216},"labels":[],"label_agreement":null},{"id":"W4406898500","doi":"10.1016/j.est.2025.115546","title":"Improve immersion cooling of cylindrical batteries in channel flows using the Tesla valve principle","year":2025,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Immersion (mathematics); Materials science; Mechanics; Gate valve; Mechanical engineering; Electrical engineering; Physics; Automotive engineering; Engineering; Mathematics; Geometry","score_opus":0.015990646009261405,"score_gpt":0.28113831928360816,"score_spread":0.26514767327434674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406898500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8925894,0.00092595385,0.09668059,0.0002488129,0.00014671564,0.00005446857,0.00011534473,0.0004789917,0.008759643],"genre_scores_gemma":[0.9853925,0.00023184398,0.011785344,0.000027281252,0.000022155422,0.00002594825,0.000056993704,0.00010082177,0.0023571462],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991786,0.000010158554,0.0000039241054,0.000020440839,0.000024683648,0.000022901739],"domain_scores_gemma":[0.9998902,0.000036075668,0.000015744534,0.000013990756,0.000032450007,0.000011503862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023984688,0.00020811394,0.00031695652,0.00015129015,0.0002927442,0.000436773,0.0003289958,0.00020347371,0.0016108605],"category_scores_gemma":[0.00040021774,0.00011043791,0.00023933062,0.00013476936,0.00042261364,0.000764618,0.0004547468,0.00037053425,0.00025805316],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002623442,0.000038600014,0.0005389662,0.0001396343,0.0000056634353,0.000045881425,0.0001488002,0.0036013569,0.9771409,0.0058998265,0.00048052214,0.011697409],"study_design_scores_gemma":[0.00003869728,0.00032730005,0.0011187317,0.000013714831,0.000012441897,0.00008972068,0.00006233883,0.03783862,0.9517549,0.0007396121,0.007983234,0.000020540901],"about_ca_topic_score_codex":0.0005809615,"about_ca_topic_score_gemma":0.0005771465,"teacher_disagreement_score":0.0016108605,"about_ca_system_score_codex":0.00028682893,"about_ca_system_score_gemma":0.00041766622,"threshold_uncertainty_score":0.0053889155},"labels":[],"label_agreement":null},{"id":"W4406907868","doi":"10.3390/en18030604","title":"Regulations and Policies on the Management of the End of the Life of Lithium-Ion Batteries in Electrical Vehicles","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"New Jersey Department of Environmental Protection","keywords":"Lithium (medication); Ion; Engineering; Electrical engineering; Chemistry; Medicine; Internal medicine","score_opus":0.01118127274840503,"score_gpt":0.24858435207998425,"score_spread":0.23740307933157923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406907868","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06903589,0.01786419,0.03861544,0.034864455,0.0027071417,0.0004273569,0.0012362726,0.00086094387,0.8343883],"genre_scores_gemma":[0.68431026,0.030994304,0.061731804,0.03497477,0.0008900021,0.000927714,0.002110836,0.00037412663,0.18368614],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9922971,0.0010603443,0.00067917653,0.0007281832,0.004362159,0.00087299943],"domain_scores_gemma":[0.9939464,0.0019035653,0.00080401264,0.0006281361,0.0025392238,0.00017870568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004822441,0.00035142252,0.0002545308,0.0012249267,0.0031264338,0.0058535617,0.0019573933,0.002834951,0.0027449476],"category_scores_gemma":[0.008819513,0.00036450196,0.000541758,0.0014191915,0.0029147826,0.0035655082,0.0018062968,0.0028268008,0.0010079714],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041081177,0.0001647487,0.004854586,0.00041759343,0.000021087046,0.00030678825,0.0047166846,0.00352662,0.004052638,0.8195229,0.05526035,0.10711496],"study_design_scores_gemma":[0.000013013092,0.00008867412,0.01045996,0.0011213641,0.000053673815,0.0002096015,0.0025580218,0.00090183434,0.0050014234,0.028872037,0.9505955,0.00012488024],"about_ca_topic_score_codex":0.06326836,"about_ca_topic_score_gemma":0.08941295,"teacher_disagreement_score":0.06326836,"about_ca_system_score_codex":0.00629251,"about_ca_system_score_gemma":0.014582435,"threshold_uncertainty_score":0.12580019},"labels":[],"label_agreement":null},{"id":"W4406983298","doi":"10.11159/jffhmt.2025.002","title":"Effect of Heat Transfer Coefficients in Forced Convective Cooling of Batteries on the Sustained Performance of PCMs","year":2025,"lang":"en","type":"article","venue":"Journal of Fluid Flow Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Materials science; Mechanics; Thermodynamics; Convection; Convective heat transfer; Heat transfer; Heat transfer coefficient; Environmental science; Forced convection; Nuclear engineering; Meteorology; Physics; Engineering","score_opus":0.006276376330565097,"score_gpt":0.23835792729161984,"score_spread":0.23208155096105473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406983298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99847025,0.00045617524,0.00065979926,0.000013477429,0.00001037013,0.0000063027296,0.000030707783,0.00001058552,0.00034228418],"genre_scores_gemma":[0.9989599,0.00024619923,0.0005217743,0.0000069063562,0.0000025244856,0.000009088179,0.000022111135,0.0000052728924,0.00022623972],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985576,0.000023794535,0.000013963694,0.000027760589,0.00004500195,0.00003363734],"domain_scores_gemma":[0.9996755,0.00017865331,0.000051406783,0.000014906963,0.000057578578,0.000022010565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025239456,0.0002800817,0.00019874546,0.00014839775,0.00013909163,0.00023008995,0.00019103417,0.00015004385,0.00057003583],"category_scores_gemma":[0.0005923279,0.00014188084,0.00017461725,0.00017212078,0.00016941414,0.00039256853,0.00016450859,0.0002907033,0.000100449855],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040717662,0.000050216324,0.0007810045,0.00011284555,0.000009822408,0.000050203347,0.00007743633,0.001666432,0.99202543,0.00008795547,0.00004920055,0.0046822387],"study_design_scores_gemma":[0.0000051044785,0.00025143282,0.0014662402,0.0000044354865,0.000008007269,0.000015895983,0.000027017526,0.0027483406,0.9951957,0.000010446994,0.00026188995,0.0000056333984],"about_ca_topic_score_codex":0.0006185362,"about_ca_topic_score_gemma":0.00088821317,"teacher_disagreement_score":0.0006185362,"about_ca_system_score_codex":0.0002158362,"about_ca_system_score_gemma":0.00016951337,"threshold_uncertainty_score":0.0019069314},"labels":[],"label_agreement":null},{"id":"W4406983467","doi":"10.11159/jffhmt.2025.003","title":"Modeling Heat Transfer in Cylindrical Batteries: Spiral-Based Thermal Conductivity Tensor","year":2025,"lang":"en","type":"article","venue":"Journal of Fluid Flow Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Thermal conductivity; Heat transfer; Materials science; Spiral (railway); Mechanics; Tensor (intrinsic definition); Thermal; Thermodynamics; Composite material; Physics; Mechanical engineering; Geometry; Mathematics; Engineering","score_opus":0.02055206918830578,"score_gpt":0.2586258645894293,"score_spread":0.23807379540112356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406983467","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29173636,0.00087468326,0.6867646,0.0002790348,0.000119469136,0.00012109974,0.00025114234,0.0005047758,0.019348776],"genre_scores_gemma":[0.9658851,0.0006342988,0.029207477,0.000026474207,0.000014783957,0.000097101074,0.0000887933,0.00007502796,0.0039708666],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998807,0.000040281102,0.0000075407843,0.000018236253,0.000032543165,0.0000207048],"domain_scores_gemma":[0.9997509,0.00009592417,0.000039350576,0.00003385816,0.000063173626,0.000016849086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003205989,0.0006430084,0.0004663106,0.0005098437,0.0002583971,0.00082029623,0.00064458314,0.00076051767,0.0010385776],"category_scores_gemma":[0.0011163482,0.00026908173,0.00056612946,0.0006370671,0.00064117165,0.0010071142,0.0005287754,0.00026790932,0.00029405582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042721378,0.000016703325,0.000773734,0.000056035824,0.000008471956,0.00010586861,0.0000855032,0.96999705,0.009878336,0.014701072,0.0001779102,0.004156569],"study_design_scores_gemma":[0.000004152357,0.000017696702,0.00009925574,0.000005773581,0.0000027906067,0.00003599542,0.000018124472,0.9958163,0.0011754828,0.00230783,0.0005111533,0.0000055040855],"about_ca_topic_score_codex":0.0023747415,"about_ca_topic_score_gemma":0.0013778607,"teacher_disagreement_score":0.0023747415,"about_ca_system_score_codex":0.00042739284,"about_ca_system_score_gemma":0.0007521976,"threshold_uncertainty_score":0.00472188},"labels":[],"label_agreement":null},{"id":"W4407022522","doi":"10.1016/j.jpowsour.2025.236345","title":"Passive thermal management systems with phase change material-based methods for lithium-ion batteries: A state-of-the-art review","year":2025,"lang":"en","type":"review","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Lithium (medication); Thermal management of electronic devices and systems; Phase change; Phase-change material; Ion; State (computer science); Thermal; Materials science; Phase (matter); Computer science; Chemistry; Engineering physics; Engineering; Mechanical engineering; Thermodynamics; Physics; Organic chemistry","score_opus":0.04118947648573593,"score_gpt":0.37964826756606007,"score_spread":0.3384587910803241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407022522","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00041259232,0.99718755,0.0009955482,0.000091580296,0.00019526588,0.000012815677,0.00002505154,0.000018885872,0.001060699],"genre_scores_gemma":[0.0027368185,0.9950901,0.0010364014,0.000091057,0.00014396192,0.000015002121,0.000049086073,0.00000449164,0.00083317026],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99979585,0.000018618342,0.000027276386,0.000050581144,0.000089049776,0.00001866766],"domain_scores_gemma":[0.99967146,0.00015917096,0.000055094904,0.000012876438,0.000086561464,0.000014940946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050271966,0.0010550442,0.0014949853,0.0015368119,0.00020882057,0.0009942391,0.0013539477,0.00094078475,0.003367117],"category_scores_gemma":[0.0006982623,0.00042831336,0.0009136108,0.0019118284,0.00030507307,0.0017995755,0.0006240517,0.0011404862,0.0015107824],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099866746,0.00012159748,0.00011939155,0.030797428,0.00014483143,0.00008983255,0.000035809473,0.00088837766,0.009341643,0.0040939464,0.009871419,0.9443958],"study_design_scores_gemma":[0.000041884137,0.0004945577,0.0010810781,0.0047006444,0.000613836,0.0011031376,0.00007774829,0.0016884895,0.01157017,0.0027905123,0.9757534,0.00008451272],"about_ca_topic_score_codex":0.0004502186,"about_ca_topic_score_gemma":0.00082350423,"teacher_disagreement_score":0.003367117,"about_ca_system_score_codex":0.00029153845,"about_ca_system_score_gemma":0.00061692216,"threshold_uncertainty_score":0.011264145},"labels":[],"label_agreement":null},{"id":"W4407024206","doi":"10.2139/ssrn.5119726","title":"Data-Driven Classification of Lithium-Ion Batteries for Second-Life Applications","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Lithium (medication); Ion; Computer science; Materials science; Psychology; Chemistry; Psychiatry","score_opus":0.03856095236789627,"score_gpt":0.3210670671380233,"score_spread":0.28250611477012705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407024206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71848184,0.0031892057,0.2316345,0.0026206472,0.0011985933,0.0003656167,0.020323345,0.008920207,0.013266041],"genre_scores_gemma":[0.9412308,0.00042834893,0.03616945,0.00023412787,0.00016104101,0.00014016431,0.014949628,0.00018792583,0.006498583],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995307,0.000043553795,0.000047854195,0.00010449487,0.00019884825,0.00007449836],"domain_scores_gemma":[0.9980081,0.00051673583,0.00011876959,0.00021842861,0.0010377861,0.00010031377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005662445,0.0006423646,0.00059841486,0.0013654864,0.00042908208,0.0016978662,0.0012698995,0.00087273924,0.0028822497],"category_scores_gemma":[0.0035177693,0.00015413892,0.0004899949,0.0010790305,0.00019728394,0.0014048297,0.00060384953,0.0007110246,0.0023178116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002884201,0.0009161397,0.078119084,0.0005645333,0.00014267315,0.0006128018,0.00026591468,0.096490644,0.044190045,0.0052905194,0.04002491,0.7304985],"study_design_scores_gemma":[0.00003446155,0.00020533676,0.0124676265,0.000051293282,0.00003910375,0.00023088108,0.00021061313,0.92935795,0.036158063,0.009393944,0.011814355,0.000036431815],"about_ca_topic_score_codex":0.0039905873,"about_ca_topic_score_gemma":0.0057797697,"teacher_disagreement_score":0.0039905873,"about_ca_system_score_codex":0.0009142896,"about_ca_system_score_gemma":0.000790767,"threshold_uncertainty_score":0.009642065},"labels":[],"label_agreement":null},{"id":"W4407100898","doi":"10.1007/s10973-024-13979-8","title":"Liquid immersion cooling with enhanced Al2O3 nanofluid for large-format prismatic battery pack: numerical and statistical investigation","year":2025,"lang":"en","type":"article","venue":"Journal of Thermal Analysis and Calorimetry","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Immersion (mathematics); Nanofluid; Materials science; Battery pack; Chemical engineering; Battery (electricity); Composite material; Metallurgy; Nanoparticle; Thermodynamics; Nanotechnology; Engineering; Mathematics; Physics","score_opus":0.006579189081095869,"score_gpt":0.25140351363458824,"score_spread":0.24482432455349237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407100898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9758256,0.00008946158,0.022250395,0.00005982169,0.000014244443,0.000013192325,0.00014488515,0.0001480628,0.0014543354],"genre_scores_gemma":[0.995955,0.000021996217,0.0035832361,0.000003676098,0.000002086113,0.000007270155,0.000051994706,0.0000148773115,0.00035989776],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999583,0.0000062012555,0.0000020642533,0.000008216222,0.00001641275,0.000008847802],"domain_scores_gemma":[0.9996247,0.00022739841,0.000030479558,0.000019122723,0.0000878614,0.000010428631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027539724,0.000114324976,0.00016911427,0.00017021144,0.00026372037,0.00021572039,0.00029199212,0.00016299606,0.0010945398],"category_scores_gemma":[0.0007220577,0.000087964145,0.00017758402,0.00021396221,0.00022867516,0.0003534649,0.00014228158,0.000180102,0.00006727214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085450395,0.00026101692,0.016571987,0.00040086938,0.000042003674,0.00023951012,0.00024592233,0.61830807,0.3201631,0.0049064867,0.0015467313,0.03645978],"study_design_scores_gemma":[0.000010469835,0.00010994787,0.0019271477,0.0000034169004,0.000008671159,0.000012860798,0.000044916385,0.9577825,0.039678242,0.00013375048,0.00027911982,0.000008953138],"about_ca_topic_score_codex":0.005480826,"about_ca_topic_score_gemma":0.0068757306,"teacher_disagreement_score":0.005480826,"about_ca_system_score_codex":0.00040515064,"about_ca_system_score_gemma":0.00038563638,"threshold_uncertainty_score":0.010897875},"labels":[],"label_agreement":null},{"id":"W4407122434","doi":"10.1016/j.energy.2025.134759","title":"Enhanced thermal management system for Li-ion batteries using phase change material and liquid cooling under realistic driving cycles","year":2025,"lang":"en","type":"article","venue":"Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; University of Alberta","keywords":"Phase-change material; Computer cooling; Phase change; Thermal management of electronic devices and systems; Thermal; Ion; Materials science; Phase (matter); Liquid phase; Nuclear engineering; Chemical engineering; Process engineering; Automotive engineering; Mechanical engineering; Engineering; Thermodynamics; Engineering physics; Chemistry; Physics","score_opus":0.025769537251593415,"score_gpt":0.2959175917810235,"score_spread":0.2701480545294301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407122434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923381,0.00017041728,0.0061769285,0.000031918145,0.00001193834,0.000025698215,0.00007896856,0.00018449537,0.0009815646],"genre_scores_gemma":[0.99750715,0.000045918958,0.0018712097,0.000007160841,0.0000018499993,0.000022345012,0.000042724627,0.000011210048,0.00049037597],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991274,0.000012671912,0.000006408072,0.00001670155,0.000034351055,0.000017082783],"domain_scores_gemma":[0.99991786,0.000013926047,0.000011241127,0.00001113713,0.00003771212,0.000008204897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016003639,0.000263784,0.000218027,0.00017827556,0.00022748542,0.0002729599,0.00042006373,0.00016067998,0.0010934497],"category_scores_gemma":[0.00023099447,0.0001204533,0.00014818509,0.0001437444,0.0001455719,0.00043849784,0.0002359497,0.00013789926,0.00022578525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00093919935,0.00014502271,0.007934405,0.00041510357,0.000041338644,0.00020066148,0.00021960033,0.03023585,0.893144,0.000347583,0.0007788579,0.065598376],"study_design_scores_gemma":[0.00007162081,0.0019895458,0.0143606085,0.000018065333,0.00006291359,0.00017962902,0.00023507648,0.1344595,0.8427744,0.00019346584,0.0056167645,0.000038408023],"about_ca_topic_score_codex":0.0008232971,"about_ca_topic_score_gemma":0.0017860952,"teacher_disagreement_score":0.0010934497,"about_ca_system_score_codex":0.00023929047,"about_ca_system_score_gemma":0.00022154648,"threshold_uncertainty_score":0.003657937},"labels":[],"label_agreement":null},{"id":"W4407128754","doi":"10.1109/tte.2025.3539251","title":"Driving-Aware Battery Thermal Management System in Electric Vehicles: Incorporating Cell Discharge Rate, Temperature, and Aging","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Thermal management of electronic devices and systems; Automotive engineering; Electric vehicle; Thermal; Materials science; Environmental science; Engineering; Mechanical engineering; Meteorology; Physics","score_opus":0.005600401320071834,"score_gpt":0.2207906140231249,"score_spread":0.21519021270305305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407128754","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16526216,0.00092848076,0.8258745,0.00016217801,0.00008836036,0.00008933715,0.00009370885,0.0019513383,0.005549848],"genre_scores_gemma":[0.9777548,0.00024584102,0.019739756,0.000035063505,0.000024982877,0.00003636409,0.0000655575,0.000061645274,0.0020359692],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998344,0.000019850568,0.000012792679,0.00005276188,0.00006371117,0.000016469685],"domain_scores_gemma":[0.99984074,0.000025518322,0.000028629414,0.000024362369,0.00007139612,0.000009399133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021184474,0.0005713938,0.00043496166,0.00026762488,0.0002461819,0.0006260826,0.0007075395,0.00024999052,0.0005168905],"category_scores_gemma":[0.00047387712,0.00025276013,0.00028845048,0.00015877272,0.00015657514,0.000762792,0.00037084823,0.00028148096,0.0002694974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027816874,0.0002642915,0.008398611,0.00031588113,0.000109447355,0.00017364045,0.00034138354,0.44219014,0.19767155,0.003562268,0.0016576634,0.3450369],"study_design_scores_gemma":[0.000007911035,0.00014914505,0.002199763,0.000010983928,0.000048082362,0.0000965989,0.00003365473,0.96091276,0.03160539,0.0008225108,0.004090487,0.000022674583],"about_ca_topic_score_codex":0.00207184,"about_ca_topic_score_gemma":0.0032548513,"teacher_disagreement_score":0.00207184,"about_ca_system_score_codex":0.00028686994,"about_ca_system_score_gemma":0.0004785171,"threshold_uncertainty_score":0.004119575},"labels":[],"label_agreement":null},{"id":"W4407304061","doi":"10.1109/ecce55643.2024.10861055","title":"A New Half-Bridge/Dual-Stacked-Switches Structured Electrolytic Capacitor-less AC/DC Bi-Directional On-Boad Charger for High-Voltage EV Battery","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Electrical engineering; Battery charger; Capacitor; Voltage; Battery (electricity); Half bridge; Dual (grammatical number); Materials science; Electrolytic capacitor; Bridge (graph theory); Optoelectronics; Electronic engineering; Engineering; Computer science; Physics; Power (physics)","score_opus":0.02129703242562893,"score_gpt":0.26722131103263075,"score_spread":0.24592427860700183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407304061","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37872332,0.0036864819,0.570592,0.00041262843,0.00068276806,0.00031952327,0.00075756805,0.0051087863,0.03971704],"genre_scores_gemma":[0.933046,0.0007296947,0.052979134,0.00024716216,0.000073981806,0.000059920807,0.0003472271,0.00010556794,0.012411401],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998857,0.000008192818,0.0000059491917,0.000022060294,0.00006407413,0.000013944603],"domain_scores_gemma":[0.9999447,0.0000050132103,0.000006641602,0.0000095685045,0.000027353624,0.000006781256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010130222,0.0002465655,0.00028151184,0.00024316584,0.00020199765,0.00041425411,0.0013059368,0.00031557074,0.0032998258],"category_scores_gemma":[0.00009196591,0.00014244272,0.00021563975,0.00022463237,0.000103795406,0.00074402435,0.00026753868,0.00035936284,0.00089915167],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022098138,0.00013679668,0.0005991398,0.0005596577,0.000062995,0.0003442712,0.00011628819,0.0019315825,0.8002921,0.004788419,0.0044442057,0.18650365],"study_design_scores_gemma":[0.0001060254,0.0010479052,0.0041072248,0.00007075826,0.0001447524,0.0037256167,0.00015911623,0.07356005,0.8231495,0.0021381362,0.0917288,0.00006210916],"about_ca_topic_score_codex":0.00032946447,"about_ca_topic_score_gemma":0.00089470856,"teacher_disagreement_score":0.0032998258,"about_ca_system_score_codex":0.00015361923,"about_ca_system_score_gemma":0.00018402094,"threshold_uncertainty_score":0.011039019},"labels":[],"label_agreement":null},{"id":"W4407304273","doi":"10.1109/ecce55643.2024.10860798","title":"EMD-Enhanced Multi-Step Regression: A Practical Approach for Lithium-Ion Battery Remaining Useful Life Prediction","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Computer science; Lithium (medication); Regression; Battery (electricity); Regression analysis; Lithium-ion battery; Reliability engineering; Machine learning; Artificial intelligence; Statistics; Engineering; Mathematics; Psychology","score_opus":0.0674458682780587,"score_gpt":0.3386353079689168,"score_spread":0.27118943969085807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407304273","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016243309,0.00027183857,0.9816456,0.00011877128,0.000023586512,0.00002265547,0.00013039983,0.00077506015,0.00076882256],"genre_scores_gemma":[0.6218856,0.0006127478,0.3732029,0.00014446328,0.000068994574,0.00013203073,0.00068872987,0.00014664396,0.0031178773],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996432,0.00010892297,0.000024907798,0.00008136735,0.000111930785,0.000029738465],"domain_scores_gemma":[0.9993332,0.00031878657,0.000072061885,0.00009356064,0.0001659523,0.00001641487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010528563,0.0007191635,0.0007300295,0.00067980954,0.00018234349,0.00056547293,0.000865783,0.0007754272,0.0010669109],"category_scores_gemma":[0.0029983104,0.0002936493,0.00074456417,0.00073932565,0.00023975268,0.00062228536,0.0007723803,0.0010425071,0.00055706076],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007848289,0.000079321806,0.0028947948,0.00008910934,0.000050329738,0.00012338087,0.00003425539,0.8284594,0.0064743534,0.0025124357,0.0015222505,0.15768185],"study_design_scores_gemma":[0.0000014156076,0.000010165931,0.00022492274,0.0000026039143,0.0000019293045,0.000012116008,0.0000031484956,0.99835443,0.00068226916,0.00041017082,0.0002933305,0.000003452094],"about_ca_topic_score_codex":0.0028138221,"about_ca_topic_score_gemma":0.002314918,"teacher_disagreement_score":0.0028138221,"about_ca_system_score_codex":0.00028118296,"about_ca_system_score_gemma":0.00050732214,"threshold_uncertainty_score":0.0055948496},"labels":[],"label_agreement":null},{"id":"W4407304288","doi":"10.1109/ecce55643.2024.10861339","title":"Power Ripple Minimization in Off-board Battery Charger using Modified Predictive Power Control","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Science and Engineering Research Board","keywords":"Ripple; Battery charger; Minification; Power (physics); Battery (electricity); Computer science; Model predictive control; Power control; Electrical engineering; Control theory (sociology); Control (management); Engineering; Physics; Voltage; Artificial intelligence","score_opus":0.013956813058587553,"score_gpt":0.26179204633523506,"score_spread":0.2478352332766475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407304288","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14748722,0.0015174466,0.83081377,0.000273206,0.00021469746,0.00011565393,0.00006776235,0.0011358729,0.0183744],"genre_scores_gemma":[0.9911515,0.00015049137,0.007112737,0.000032170057,0.000018532044,0.000022931297,0.0000194062,0.000020449175,0.0014716858],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997563,0.00003886182,0.000010945268,0.000043911492,0.000120349694,0.000029594616],"domain_scores_gemma":[0.9998375,0.000052956017,0.000023853492,0.00002094638,0.000057904454,0.0000068082945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003104814,0.0004933333,0.0006937595,0.00028760688,0.0003265556,0.00096368365,0.0009568207,0.0003963475,0.0009872072],"category_scores_gemma":[0.00044310844,0.00025179054,0.00028582488,0.00036182057,0.0003454552,0.0004985197,0.0004135849,0.0005097266,0.00014163429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058849086,0.00018249261,0.0010466495,0.00042171645,0.000084260326,0.00057441456,0.00020126712,0.74721897,0.037093733,0.0068024765,0.0031990826,0.20258649],"study_design_scores_gemma":[0.000017664406,0.00010416222,0.00023724412,0.0000070445985,0.0000130759945,0.000036392976,0.000010667126,0.9947509,0.00359777,0.0005697786,0.0006499144,0.0000054515453],"about_ca_topic_score_codex":0.004022849,"about_ca_topic_score_gemma":0.0035578827,"teacher_disagreement_score":0.004022849,"about_ca_system_score_codex":0.00035190326,"about_ca_system_score_gemma":0.00043428695,"threshold_uncertainty_score":0.007998824},"labels":[],"label_agreement":null},{"id":"W4407304436","doi":"10.1109/ecce55643.2024.10861344","title":"A New Integrated Battery Charger (IBC) Architecture for 1200 V Electric Vehicles","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Architecture; Electrical engineering; Battery (electricity); Battery charger; Engineering; Computer science; Telecommunications; Physics; Power (physics); Art","score_opus":0.01303527612969014,"score_gpt":0.2576516506387544,"score_spread":0.24461637450906426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407304436","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053186905,0.0011311537,0.8607117,0.00043583955,0.0005524252,0.00035531636,0.0003722391,0.0108704725,0.07238396],"genre_scores_gemma":[0.8871223,0.00052631245,0.09031558,0.00031525307,0.00009423097,0.00016075828,0.00044623876,0.00015262136,0.02086668],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997851,0.000015016359,0.000009904575,0.000040887422,0.00012928397,0.000019745748],"domain_scores_gemma":[0.99990857,0.000004785962,0.000006752919,0.000013271841,0.000056936995,0.000009635517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012210623,0.00036786054,0.00031617997,0.00034244359,0.00038139554,0.0008887287,0.0013329491,0.00044046767,0.005444235],"category_scores_gemma":[0.00018235808,0.0001502427,0.00023885079,0.0003212549,0.00020618034,0.00052007043,0.00036583422,0.00073279557,0.0018495728],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005362013,0.00044639953,0.0029366687,0.000681332,0.00010679853,0.0005007884,0.0003047611,0.102725975,0.22243093,0.03480466,0.032745693,0.60177976],"study_design_scores_gemma":[0.00012429288,0.0011504223,0.0024670279,0.000090383866,0.00011937956,0.0012828711,0.00006076379,0.72042185,0.10271265,0.0054011308,0.16608433,0.00008485744],"about_ca_topic_score_codex":0.0027989007,"about_ca_topic_score_gemma":0.0023669132,"teacher_disagreement_score":0.005444235,"about_ca_system_score_codex":0.0004581923,"about_ca_system_score_gemma":0.0006405578,"threshold_uncertainty_score":0.018212736},"labels":[],"label_agreement":null},{"id":"W4407316283","doi":"10.1109/ecce55643.2024.10861869","title":"Comparative Analysis of Integrated Onboard Battery Chargers for Zero Charging Torque Using PMSM with and without Neutral Point Access","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Torque; Battery (electricity); Point (geometry); Automotive engineering; Direct torque control; Zero (linguistics); Computer science; Electrical engineering; Control theory (sociology); Engineering; Voltage; Physics; Induction motor; Mathematics; Power (physics); Control (management)","score_opus":0.052351396069141756,"score_gpt":0.3502005246146308,"score_spread":0.29784912854548906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407316283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9500017,0.0017920855,0.03580444,0.000086731394,0.000090219495,0.00008236348,0.0001648845,0.00048717536,0.011490334],"genre_scores_gemma":[0.9955161,0.00023995285,0.0025667348,0.0000106225125,0.0000052763476,0.000010462684,0.00007700179,0.000016260901,0.0015575927],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997104,0.000034325145,0.000014952105,0.00003427039,0.00016754596,0.0000385967],"domain_scores_gemma":[0.99972695,0.000051185372,0.000027945038,0.000030171994,0.000144759,0.000018962408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002624817,0.00041947412,0.0005735376,0.00045105926,0.00018851862,0.00071053795,0.00057211996,0.00034202615,0.0018205842],"category_scores_gemma":[0.0005240426,0.000102230035,0.00030622468,0.00047419476,0.00015742907,0.00057114934,0.00020185095,0.00019826661,0.0005544979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005368699,0.0005699713,0.010175503,0.0027908997,0.0003285869,0.0009052735,0.00043972005,0.09071058,0.46912405,0.0020650069,0.0027178326,0.41480383],"study_design_scores_gemma":[0.00030862904,0.010913498,0.05645082,0.00014884568,0.0006166,0.0014525527,0.0009932783,0.443267,0.4623769,0.0009932969,0.02240614,0.000072385],"about_ca_topic_score_codex":0.0009698134,"about_ca_topic_score_gemma":0.0015009657,"teacher_disagreement_score":0.0018205842,"about_ca_system_score_codex":0.0002811607,"about_ca_system_score_gemma":0.00021150145,"threshold_uncertainty_score":0.006090522},"labels":[],"label_agreement":null},{"id":"W4407316498","doi":"10.1109/ecce55643.2024.10861502","title":"Advanced Battery Aging Prediction through Impedance Spectroscopy Including Thermal Behavior and Degradation Analysis","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Degradation (telecommunications); Battery (electricity); Dielectric spectroscopy; Materials science; Electrical impedance; Thermal; Accelerated aging; Thermal analysis; Engineering physics; Electrical engineering; Electronic engineering; Composite material; Engineering; Chemistry; Thermodynamics; Physics; Electrode; Electrochemistry","score_opus":0.021298330028056933,"score_gpt":0.312387091792847,"score_spread":0.2910887617647901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407316498","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49207807,0.002019151,0.50119567,0.00012193271,0.000053566935,0.000090102825,0.00045066455,0.0016912061,0.0022996794],"genre_scores_gemma":[0.9626033,0.0011703819,0.034512363,0.000019280853,0.000020053005,0.000043136,0.00031946925,0.000032496915,0.0012796281],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998098,0.000023987719,0.000019625259,0.000039536204,0.00009288107,0.000014179869],"domain_scores_gemma":[0.9997458,0.00004921866,0.000046452376,0.00002117478,0.00013081363,0.00000645543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003126775,0.00060245773,0.0005255881,0.00071714213,0.000118395576,0.00039023205,0.00031660378,0.00047464925,0.00044338874],"category_scores_gemma":[0.000889456,0.00016749345,0.00036546684,0.00055443204,0.0001009772,0.0011003615,0.00025939086,0.00025932287,0.0003776802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003607576,0.00020573275,0.0337358,0.00043173472,0.00012781561,0.00034806333,0.00014290526,0.12570459,0.45724392,0.0010191238,0.00092471874,0.37975493],"study_design_scores_gemma":[0.000010637078,0.00037520463,0.022227965,0.000027201226,0.0000754298,0.00037635714,0.000059349404,0.8121013,0.16084965,0.0012846543,0.0025586076,0.000053650812],"about_ca_topic_score_codex":0.00093714806,"about_ca_topic_score_gemma":0.0010759307,"teacher_disagreement_score":0.00093714806,"about_ca_system_score_codex":0.00017156484,"about_ca_system_score_gemma":0.0001805024,"threshold_uncertainty_score":0.00186342},"labels":[],"label_agreement":null},{"id":"W4407316938","doi":"10.1109/ecce55643.2024.10861080","title":"Effects of Fast Charging of EV Batteries at Low Temperatures Based on Temporary Lithium Plating and Temperature Gradients","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Materials science; Plating (geology); Lithium (medication); Temperature measurement; Nuclear engineering; Optoelectronics; Electrical engineering; Engineering physics; Thermodynamics; Engineering; Physics","score_opus":0.005066286620015922,"score_gpt":0.22536100594757597,"score_spread":0.22029471932756003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407316938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957694,0.0010614278,0.0017561258,0.000075580865,0.00006278003,0.000019845043,0.0001373497,0.000111942274,0.0010055709],"genre_scores_gemma":[0.99872226,0.00031003635,0.000409256,0.000031450287,0.000006088184,0.0000091977245,0.00005285197,0.000016395401,0.00044254758],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977714,0.000016848853,0.000014918234,0.000039069397,0.000087484055,0.00006460815],"domain_scores_gemma":[0.9997291,0.00007496541,0.00004197681,0.00003979067,0.00009014579,0.000024059345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020516352,0.00037664935,0.00038190978,0.00025968114,0.0002878214,0.0004483408,0.00037979474,0.00031069462,0.0013139434],"category_scores_gemma":[0.0007326056,0.00016898871,0.0003351702,0.00034681556,0.00035041905,0.0007371314,0.0003358571,0.0004413779,0.00022683802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026214074,0.00008013184,0.006387068,0.00073093537,0.000065968095,0.0010251765,0.000395483,0.004086846,0.9520377,0.00037824913,0.000709946,0.031481072],"study_design_scores_gemma":[0.00002467292,0.0009684365,0.010749134,0.000025602347,0.00004921718,0.00044664255,0.00035115998,0.00486688,0.98012525,0.00019452782,0.0021728575,0.000025616731],"about_ca_topic_score_codex":0.0009703809,"about_ca_topic_score_gemma":0.001852383,"teacher_disagreement_score":0.0013139434,"about_ca_system_score_codex":0.00033484155,"about_ca_system_score_gemma":0.00020513046,"threshold_uncertainty_score":0.004395604},"labels":[],"label_agreement":null},{"id":"W4407389679","doi":"10.3390/batteries11020067","title":"Experimental Investigation of Phase Change Material-Based Battery Pack Performance Under Elevated Ambient Temperature","year":2025,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Battery pack; Phase-change material; Materials science; Phase change; Phase (matter); Automotive engineering; Environmental science; Composite material; Power (physics); Thermodynamics; Engineering physics; Chemistry; Engineering","score_opus":0.026403169989864216,"score_gpt":0.2842183086539116,"score_spread":0.2578151386640474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407389679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99411064,0.000339072,0.0036191295,0.00004683086,0.0000552095,0.000070544906,0.00048089348,0.00014324613,0.0011344613],"genre_scores_gemma":[0.9946043,0.0004841176,0.0030101873,0.000047364298,0.000012974328,0.00011640804,0.0003411228,0.000043475407,0.0013401237],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996387,0.000031176885,0.000031837277,0.00007749421,0.0001595408,0.00006128099],"domain_scores_gemma":[0.9997234,0.00006693121,0.000027679014,0.00003916735,0.00012451976,0.000018276487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045881493,0.00041759212,0.00048097505,0.00030500386,0.0003639223,0.000384527,0.0005509471,0.0004734694,0.0024889577],"category_scores_gemma":[0.00086083834,0.00020931874,0.00026853915,0.00053489447,0.00043927477,0.00077746785,0.00043877988,0.00059634354,0.00067361793],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048112433,0.000091151494,0.0010730868,0.00035125998,0.000014889484,0.00018061203,0.00024790637,0.00096479576,0.98976874,0.00021140631,0.0002888014,0.006326085],"study_design_scores_gemma":[0.000015548323,0.0007601787,0.0018259477,0.000011290144,0.000018302817,0.00009870772,0.00012314225,0.002075354,0.99339044,0.00006149557,0.0016094664,0.000010136841],"about_ca_topic_score_codex":0.0004590107,"about_ca_topic_score_gemma":0.0009943177,"teacher_disagreement_score":0.0024889577,"about_ca_system_score_codex":0.00024736326,"about_ca_system_score_gemma":0.00022224146,"threshold_uncertainty_score":0.008326411},"labels":[],"label_agreement":null},{"id":"W4407398016","doi":"10.1016/j.mlwa.2025.100629","title":"Machine learning-based state of charge estimation: A comparison between CatBoost model and C-BLSTM-AE model","year":2025,"lang":"en","type":"article","venue":"Machine Learning with Applications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Rimouski","funders":"","keywords":"Estimation; Computer science; State (computer science); Artificial intelligence; Machine learning; Speech recognition; Engineering; Algorithm","score_opus":0.014724404648304972,"score_gpt":0.28866271134311355,"score_spread":0.27393830669480856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407398016","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08180674,0.0053513935,0.8986925,0.000932277,0.00042040137,0.000112260925,0.0002271092,0.0039175833,0.008539633],"genre_scores_gemma":[0.87773496,0.0014321305,0.11180173,0.00050377107,0.00010889656,0.00015707298,0.0005708061,0.0002294888,0.00746102],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997516,0.00004242283,0.000016579907,0.00007005236,0.00007542664,0.000043915436],"domain_scores_gemma":[0.9994141,0.00023256535,0.00004458238,0.000033805558,0.00024039095,0.000034567227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008611095,0.0009234811,0.0010560639,0.00047762113,0.00031494742,0.00074684736,0.001684731,0.001206746,0.0021459106],"category_scores_gemma":[0.001758233,0.0003094961,0.0005573773,0.00057653425,0.00034046228,0.001083031,0.00048715237,0.0014607671,0.0007565168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045669018,0.00026862283,0.0020870022,0.00028278035,0.00014097177,0.00008513113,0.000059373608,0.76116496,0.0064992355,0.0038325966,0.003685484,0.22143711],"study_design_scores_gemma":[0.000004046589,0.000021094344,0.0001428037,0.0000069783027,0.0000055629516,0.000007785713,0.000002572399,0.9987293,0.00049010257,0.00034284414,0.00024345791,0.0000035115083],"about_ca_topic_score_codex":0.016336787,"about_ca_topic_score_gemma":0.013842359,"teacher_disagreement_score":0.016336787,"about_ca_system_score_codex":0.00075388385,"about_ca_system_score_gemma":0.0013354269,"threshold_uncertainty_score":0.0324834},"labels":[],"label_agreement":null},{"id":"W4407458121","doi":"10.1109/tim.2025.3541804","title":"A Hybrid Data-Driven Granular Model for Battery Remaining Useful Life Prediction","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Battery (electricity); Data modeling; Computer science; Reliability engineering; Engineering; Physics; Power (physics)","score_opus":0.08428870576422998,"score_gpt":0.295402769904385,"score_spread":0.21111406414015504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407458121","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059371546,0.00084413233,0.93366,0.00050619204,0.000082002916,0.00008357045,0.0011632063,0.0010587297,0.0032307387],"genre_scores_gemma":[0.9290046,0.0006057552,0.06761525,0.00013384261,0.000054867116,0.0001633392,0.0010280564,0.000064154294,0.0013300478],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937207,0.00010116267,0.0000653617,0.00016165254,0.00022462785,0.0000751671],"domain_scores_gemma":[0.9989624,0.0004896563,0.00015352483,0.0001363253,0.00020662785,0.000051461313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009922449,0.0008618458,0.00096040004,0.0014000522,0.00033838954,0.0020893726,0.0016000698,0.0007857008,0.0011921017],"category_scores_gemma":[0.003544497,0.00034162417,0.0010501673,0.0015306118,0.0005637323,0.0023400756,0.0011008348,0.00094230304,0.00025839094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014042786,0.00006242196,0.003137732,0.00010650178,0.00005705976,0.00018184798,0.00009314293,0.93828547,0.0016773453,0.012363122,0.0015085515,0.042386357],"study_design_scores_gemma":[0.000004215273,0.0000106446605,0.00030394358,0.000008011612,0.000011134474,0.000015508567,0.000010870405,0.99416983,0.0002270957,0.004969713,0.0002615858,0.000007498502],"about_ca_topic_score_codex":0.009061055,"about_ca_topic_score_gemma":0.006375449,"teacher_disagreement_score":0.009061055,"about_ca_system_score_codex":0.0010613928,"about_ca_system_score_gemma":0.00069738115,"threshold_uncertainty_score":0.018016636},"labels":[],"label_agreement":null},{"id":"W4407475713","doi":"10.1109/icuis64676.2024.10867198","title":"Optimizing Lithium-Ion Battery Performance and Safety for E-Bikes: A Review of Machine Learning-Driven Battery Management Systems","year":2024,"lang":"en","type":"review","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre; Botswana International University of Science and Technology","keywords":"Battery (electricity); Computer science; Automotive engineering; Reliability engineering; Lithium-ion battery; Lithium (medication); Engineering; Medicine; Power (physics)","score_opus":0.03249251106355286,"score_gpt":0.30629596958242017,"score_spread":0.27380345851886734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407475713","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00060516375,0.99569523,0.0014589343,0.00026497533,0.00016159829,0.000015352121,0.000048200764,0.00002582162,0.0017247708],"genre_scores_gemma":[0.00368133,0.99397165,0.0011741202,0.00014867996,0.000121066776,0.000022529008,0.00007215692,0.0000062981994,0.0008022014],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99972886,0.000032918197,0.000042000633,0.00006207278,0.00011319985,0.00002101511],"domain_scores_gemma":[0.9994978,0.0002689084,0.000062222476,0.000016773038,0.0001374127,0.000016958002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005832668,0.0010891965,0.0013156803,0.001590985,0.00024744228,0.00095535914,0.00084831397,0.0010762684,0.0026844686],"category_scores_gemma":[0.0010473197,0.00042444697,0.00087540474,0.0020372092,0.00026266946,0.0013539413,0.0005319841,0.00088528596,0.0013361329],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006897886,0.00012885865,0.00034550528,0.042202238,0.00021523058,0.00011232897,0.000063448744,0.0038870794,0.0046899715,0.007890049,0.012391183,0.92800504],"study_design_scores_gemma":[0.00003007397,0.00051429303,0.0014324711,0.009056998,0.00061028457,0.0008219759,0.00011379429,0.004030064,0.005120553,0.006408198,0.97177243,0.00008889954],"about_ca_topic_score_codex":0.0010942979,"about_ca_topic_score_gemma":0.0013220814,"teacher_disagreement_score":0.0026844686,"about_ca_system_score_codex":0.00040436198,"about_ca_system_score_gemma":0.0010637571,"threshold_uncertainty_score":0.008980453},"labels":[],"label_agreement":null},{"id":"W4407678187","doi":"10.2514/6.2024-0279.c1","title":"Correction: Life Cycle Analysis of Battery Modules to be Integrated into Hybrid/Electric Aircraft","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Battery (electricity); Computer science; Electrical engineering; Automotive engineering; Reliability engineering; Engineering; Aeronautics; Physics; Power (physics)","score_opus":0.01168783686684007,"score_gpt":0.26498916157345404,"score_spread":0.253301324706614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407678187","genre_codex":"editorial","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006372648,0.0013899133,0.0018837253,0.017827142,0.970385,0.00004174035,0.0034936552,0.0012152366,0.0031263018],"genre_scores_gemma":[0.07220614,0.0129197035,0.019084862,0.079934455,0.29989913,0.00055084936,0.011799808,0.0054892087,0.49811587],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99751925,0.00022800625,0.00038934257,0.00040473082,0.0011607693,0.00029802351],"domain_scores_gemma":[0.97756743,0.0030625449,0.001178105,0.0015106747,0.015918879,0.00076229934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001545779,0.0031100728,0.0026401621,0.0042389277,0.0030379852,0.0029752036,0.003582569,0.008268571,0.0511288],"category_scores_gemma":[0.028867137,0.001573874,0.0020856515,0.0035774645,0.001657856,0.002331139,0.001739159,0.008294838,0.03230309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009407291,0.000012346166,0.00014172407,0.0003570942,0.000022478174,0.00017453967,0.00003229802,0.00031110732,0.00025079984,0.00077168323,0.9891201,0.008711771],"study_design_scores_gemma":[0.00012024487,0.00008805142,0.0032882823,0.0003459136,0.00007727693,0.0006297182,0.00013545266,0.0015309671,0.0015770876,0.0019070243,0.9902278,0.00007226815],"about_ca_topic_score_codex":0.04143229,"about_ca_topic_score_gemma":0.035352413,"teacher_disagreement_score":0.0511288,"about_ca_system_score_codex":0.0039038886,"about_ca_system_score_gemma":0.0053674537,"threshold_uncertainty_score":0.17104292},"labels":[],"label_agreement":null},{"id":"W4407780715","doi":"10.3390/batteries11030084","title":"Evaluating the Role of Entropy Change in Lithium-Ion Battery Electro-Thermal Modelling","year":2025,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Mitacs; Canada Research Chairs","keywords":"Ion; Lithium (medication); Thermal; Battery (electricity); Materials science; Lithium-ion battery; Entropy (arrow of time); Thermodynamics; Computer science; Chemistry; Physics; Psychology","score_opus":0.03863770895476167,"score_gpt":0.3177056753173313,"score_spread":0.27906796636256964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407780715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8953302,0.001213637,0.09144334,0.00047418047,0.000081751015,0.000072288414,0.0002647152,0.00022299805,0.010897002],"genre_scores_gemma":[0.9961302,0.00020911616,0.0028543035,0.000020541565,0.000009170834,0.000021052454,0.00007526717,0.00002376024,0.00065670017],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980885,0.00006297192,0.000012870692,0.000019848472,0.00007220393,0.000023243398],"domain_scores_gemma":[0.99919945,0.00051517796,0.000074633586,0.00007776534,0.0001034229,0.000029495906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062757795,0.0005915761,0.00049138005,0.0003731562,0.00030774396,0.001089879,0.00067059207,0.00078353955,0.00070196],"category_scores_gemma":[0.0024956593,0.00023918464,0.00052919996,0.00028718356,0.0006965784,0.000983389,0.00081446755,0.0006399055,0.00012306626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041842497,0.00002810799,0.0023636562,0.00004890834,0.000013388916,0.000057193825,0.000037291982,0.98902225,0.002731026,0.0017648005,0.00006923391,0.0038222235],"study_design_scores_gemma":[0.0000021554372,0.000027841064,0.0005462881,0.000008468522,0.0000059215113,0.0000112279495,0.000011664113,0.99757105,0.0012021216,0.0004400507,0.00016708206,0.0000061345277],"about_ca_topic_score_codex":0.005042392,"about_ca_topic_score_gemma":0.00308225,"teacher_disagreement_score":0.005042392,"about_ca_system_score_codex":0.00052846904,"about_ca_system_score_gemma":0.00048538548,"threshold_uncertainty_score":0.010026097},"labels":[],"label_agreement":null},{"id":"W4407852921","doi":"10.1049/pel2.12836","title":"Design and control of isolated current‐fed DC–DC converters for fuel cell stacks EIS incorporating wide‐frequency‐range of perturbations","year":2025,"lang":"en","type":"article","venue":"IET Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; General Motors (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Converters; Current (fluid); Range (aeronautics); Fuel cells; Electrical engineering; Direct current; Materials science; Control (management); Electronic engineering; Control theory (sociology); Engineering; Computer science; Voltage; Aerospace engineering; Chemical engineering","score_opus":0.009837550925228245,"score_gpt":0.2524608832796024,"score_spread":0.24262333235437417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407852921","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23937033,0.0006575544,0.7432035,0.00021135097,0.00012488832,0.0002803534,0.000097258395,0.0006363036,0.015418339],"genre_scores_gemma":[0.9813129,0.00010490274,0.01694268,0.00002458535,0.000011962567,0.00008658873,0.000019129495,0.000010981354,0.0014863036],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979216,0.000031407148,0.000012987378,0.000060934242,0.000079023106,0.000023527758],"domain_scores_gemma":[0.99974746,0.00004808845,0.000065402775,0.000025985772,0.00009601921,0.000016939963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003044388,0.00055297575,0.00035398992,0.00026238337,0.0003580558,0.0008244421,0.00086396176,0.00039348874,0.0011920184],"category_scores_gemma":[0.00029913225,0.00021759713,0.0002488944,0.00015924622,0.00035128705,0.00032194136,0.00025094478,0.00041089853,0.00032309964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007469003,0.00046686523,0.0016224441,0.0007152172,0.0001763966,0.000500985,0.00027519237,0.2944618,0.5492622,0.008365293,0.0016464937,0.14176026],"study_design_scores_gemma":[0.00009316436,0.0007375779,0.0014513129,0.00004714901,0.00007065819,0.00015342844,0.000057991623,0.82803106,0.16267322,0.0013627175,0.0052987584,0.00002290674],"about_ca_topic_score_codex":0.00066396303,"about_ca_topic_score_gemma":0.00088970945,"teacher_disagreement_score":0.0011920184,"about_ca_system_score_codex":0.00042220388,"about_ca_system_score_gemma":0.00039443554,"threshold_uncertainty_score":0.00398767},"labels":[],"label_agreement":null},{"id":"W4407899153","doi":"10.2139/ssrn.5150387","title":"Shift-Share Instruments: Review, Modication &amp;amp; Application","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Economics; Business; Microeconomics","score_opus":0.01708366438986693,"score_gpt":0.30511058392609364,"score_spread":0.2880269195362267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407899153","genre_codex":"review","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019103363,0.94911903,0.010796463,0.009163002,0.009475217,0.0001257354,0.00033768322,0.000251799,0.01882075],"genre_scores_gemma":[0.027172027,0.90480393,0.014096102,0.009880301,0.008700542,0.00019561085,0.0005545325,0.00022386186,0.03437302],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973652,0.0003502929,0.00030470974,0.0004392392,0.0013354591,0.00020509538],"domain_scores_gemma":[0.99239916,0.0027612143,0.0008374289,0.0006420772,0.0030261897,0.00033386535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007266247,0.0010512949,0.0010991566,0.0038415617,0.00053460954,0.0033525021,0.0028854033,0.0025119355,0.016133962],"category_scores_gemma":[0.0126339635,0.00055536797,0.0010870027,0.0047405697,0.002834722,0.005416355,0.002548857,0.003293333,0.007812421],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025541178,0.000060302624,0.00028593087,0.0063875485,0.000062911575,0.00007689365,0.00008748412,0.00024322847,0.0032801137,0.019420816,0.05024107,0.91959834],"study_design_scores_gemma":[0.00004160947,0.0002365645,0.0007635121,0.0017492565,0.00006976367,0.00035127203,0.00008379596,0.00015940837,0.003822778,0.0042192996,0.9884659,0.00003684086],"about_ca_topic_score_codex":0.0010144158,"about_ca_topic_score_gemma":0.0012789737,"teacher_disagreement_score":0.016133962,"about_ca_system_score_codex":0.0016421699,"about_ca_system_score_gemma":0.0034474717,"threshold_uncertainty_score":0.053973496},"labels":[],"label_agreement":null},{"id":"W4407900412","doi":"10.1109/jestpe.2025.3544988","title":"Health-Conscious Fast Charging for Electrified Aircraft Batteries Using a Multistage-Constant-Current Temperature-Controlled Strategy","year":2025,"lang":"en","type":"article","venue":"IEEE Journal of Emerging and Selected Topics in Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Current (fluid); Constant current; Constant (computer programming); Electrical engineering; Automotive engineering; Environmental science; Aerospace engineering; Materials science; Computer science; Engineering","score_opus":0.012721072458167245,"score_gpt":0.3068141538540703,"score_spread":0.29409308139590307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407900412","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24542764,0.00056762324,0.7458593,0.0002214471,0.00009872024,0.00016139484,0.000033284563,0.0016287458,0.0060018552],"genre_scores_gemma":[0.97717994,0.000066923436,0.021621961,0.00005394739,0.000012381315,0.000022824908,0.00001583422,0.000018137984,0.00100813],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998895,0.00001307725,0.000008282194,0.000032929453,0.000040552113,0.00001572374],"domain_scores_gemma":[0.9998355,0.000045068988,0.00003053102,0.000021792046,0.000056189165,0.000011016837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001640961,0.0003088117,0.00023300097,0.00020147042,0.00029772051,0.00049996475,0.00069615437,0.00027773343,0.0008939127],"category_scores_gemma":[0.00038913096,0.00011357154,0.00017516973,0.00012845681,0.0002519505,0.00043211874,0.00030592122,0.00024670002,0.00017844937],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001056386,0.00027089322,0.003119238,0.00027818212,0.000044960074,0.00046302887,0.00046025592,0.15324132,0.43502855,0.0063181054,0.0021647818,0.39755425],"study_design_scores_gemma":[0.000056552562,0.00032111062,0.0013203273,0.0000112004245,0.000026611295,0.0002668694,0.000043332613,0.89737886,0.09667477,0.001356487,0.0025200872,0.000023730141],"about_ca_topic_score_codex":0.0017099881,"about_ca_topic_score_gemma":0.0025268786,"teacher_disagreement_score":0.0017099881,"about_ca_system_score_codex":0.00031380996,"about_ca_system_score_gemma":0.00030436655,"threshold_uncertainty_score":0.0034000874},"labels":[],"label_agreement":null},{"id":"W4407920618","doi":"10.18280/jesa.580117","title":"Performance Analysis of Solar PV-UPQC for Enhanced Power Quality","year":2025,"lang":"fr","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Power quality; Photovoltaic system; Quality (philosophy); Power (physics); Environmental science; Computer science; Electrical engineering; Engineering; Physics","score_opus":0.02388147965696714,"score_gpt":0.3203799900543209,"score_spread":0.29649851039735375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407920618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87180465,0.0003349289,0.110332355,0.00022739658,0.000030023546,0.00017751395,0.00022684812,0.0012634998,0.015602804],"genre_scores_gemma":[0.9978707,0.000020516125,0.0016149416,0.0000060269285,0.0000013796493,0.000009359595,0.000017097032,0.0000072273638,0.00045267088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994797,0.00012749762,0.000020267911,0.00007167469,0.00023697545,0.000063933934],"domain_scores_gemma":[0.9993129,0.00028388007,0.00009658275,0.00005038526,0.00022301136,0.000033230444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081324216,0.0004563322,0.0006200242,0.00022399395,0.00043828593,0.0005869542,0.00052927487,0.0005251372,0.0034507874],"category_scores_gemma":[0.0010015831,0.00017585185,0.00029606858,0.00032235627,0.00033224712,0.00040509773,0.0002734006,0.000410828,0.0003198415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085456384,0.00021919822,0.0026069686,0.00031494605,0.00006694451,0.00026560042,0.00008128679,0.8952488,0.07047423,0.0010645667,0.0006792054,0.028123677],"study_design_scores_gemma":[0.000025488154,0.00041530057,0.0014719674,0.000005815052,0.000014951397,0.00002746151,0.000012486356,0.9865892,0.011187604,0.000093270755,0.00015080141,0.0000056430154],"about_ca_topic_score_codex":0.008350509,"about_ca_topic_score_gemma":0.005959201,"teacher_disagreement_score":0.008350509,"about_ca_system_score_codex":0.00089984114,"about_ca_system_score_gemma":0.0006423698,"threshold_uncertainty_score":0.016603827},"labels":[],"label_agreement":null},{"id":"W4407936948","doi":"10.1016/j.ijthermalsci.2025.109822","title":"Unlocking the potential of lauric acid: A promising solution for battery thermal management","year":2025,"lang":"en","type":"article","venue":"International Journal of Thermal Sciences","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Bilimsel Araştırma Projeleri, Erciyes Üniversitesi; Erciyes Üniversitesi","keywords":"Lauric acid; Materials science; Battery (electricity); Thermal; Thermal management of electronic devices and systems; Lead–acid battery; Chemical engineering; Nuclear engineering; Computer science; Mechanics; Process engineering; Thermodynamics; Mechanical engineering; Chemistry; Physics; Organic chemistry","score_opus":0.01696525451637278,"score_gpt":0.30582034644945355,"score_spread":0.2888550919330808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407936948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63174695,0.16864058,0.14449017,0.0046664393,0.0028520557,0.00021827851,0.00045461184,0.0013438627,0.04558709],"genre_scores_gemma":[0.91533154,0.039535575,0.02417543,0.00073272653,0.0004536559,0.00009072516,0.00022221466,0.00012009541,0.019337967],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992657,0.000011209163,0.000003847668,0.000016160988,0.000023806708,0.000018447978],"domain_scores_gemma":[0.9999461,0.000008608091,0.00001243305,0.000005086073,0.0000150552305,0.000012793876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013207686,0.00050594704,0.00035805738,0.00026695876,0.0002806623,0.0005809737,0.00046724296,0.00063709286,0.002511823],"category_scores_gemma":[0.00018365863,0.00012696178,0.00034064686,0.00018040554,0.0002549131,0.001133644,0.0005450584,0.00081421965,0.001013998],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003005355,0.0000738473,0.00019475073,0.0009186042,0.000028440088,0.0002717754,0.000083647006,0.0010650947,0.91943574,0.0068126284,0.0015718832,0.06924316],"study_design_scores_gemma":[0.000029158005,0.000604,0.00027619582,0.000097000935,0.0000490387,0.00029330517,0.000098386314,0.008140105,0.922434,0.0026826288,0.065262415,0.000033842076],"about_ca_topic_score_codex":0.00022764163,"about_ca_topic_score_gemma":0.0004243216,"teacher_disagreement_score":0.002511823,"about_ca_system_score_codex":0.00015608263,"about_ca_system_score_gemma":0.0002032833,"threshold_uncertainty_score":0.008402884},"labels":[],"label_agreement":null},{"id":"W4407960559","doi":"10.1149/1945-7111/adba8f","title":"Operando 3D Imaging of Electrolyte Motion in Cylindrical Li-Ion Cells","year":2025,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation","keywords":"Electrolyte; Ion; Motion (physics); Materials science; Chemistry; Analytical Chemistry (journal); Physics; Classical mechanics; Physical chemistry; Electrode; Chromatography; Organic chemistry","score_opus":0.004335951696880935,"score_gpt":0.24000474089073995,"score_spread":0.235668789193859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407960559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99155855,0.0001202996,0.006370027,0.000090664114,0.000009513111,0.000029306273,0.0003559592,0.00013646403,0.0013293596],"genre_scores_gemma":[0.98496604,0.0001651319,0.013851433,0.0000306271,0.0000063098764,0.000026664766,0.0002133927,0.000030024179,0.0007103704],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999198,0.0000071934014,0.000004245212,0.0000127845005,0.00003896389,0.000016952985],"domain_scores_gemma":[0.99981457,0.000080797494,0.000027238371,0.000021179909,0.0000308185,0.00002534461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015587173,0.00019796097,0.00018137002,0.00034377456,0.00023780641,0.0005098294,0.0002501083,0.0003853835,0.0018348396],"category_scores_gemma":[0.00032368663,0.0002034712,0.00013509425,0.000417897,0.00043141493,0.00028064786,0.0002861218,0.0003021009,0.0001237168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015194771,0.000046866728,0.0024728493,0.000047775913,0.0000050890844,0.00032571692,0.00020423648,0.0045412257,0.98754984,0.00028880377,0.00017813024,0.0041875346],"study_design_scores_gemma":[0.00007611982,0.00040950323,0.078346446,0.000024070181,0.00002098712,0.0010737702,0.0008055497,0.13053499,0.7845768,0.0003705634,0.0036676282,0.00009358059],"about_ca_topic_score_codex":0.0019021346,"about_ca_topic_score_gemma":0.0035323093,"teacher_disagreement_score":0.0019021346,"about_ca_system_score_codex":0.00032338683,"about_ca_system_score_gemma":0.00038752324,"threshold_uncertainty_score":0.006138146},"labels":[],"label_agreement":null},{"id":"W4408051899","doi":"10.1088/1742-6596/2968/1/012017","title":"Exploring the Aging Dynamics of Lithium-Ion Batteries for Enhanced Lifespan Understanding","year":2025,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; University of Waterloo","funders":"","keywords":"Lithium (medication); Dynamics (music); Ion; Materials science; Psychology; Engineering physics; Nanotechnology; Engineering; Physics","score_opus":0.09006786412224302,"score_gpt":0.2969469550683665,"score_spread":0.20687909094612347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408051899","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30361187,0.5371127,0.14051823,0.0012671989,0.00054331153,0.00014326978,0.0013410553,0.0006541593,0.014808175],"genre_scores_gemma":[0.70053893,0.2640294,0.02804246,0.00037890315,0.00018598835,0.000117241885,0.0012278131,0.00006801442,0.005411159],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999416,0.00000776755,0.0000055314636,0.000013230272,0.000023171695,0.000008757629],"domain_scores_gemma":[0.99988866,0.000030791318,0.000015419233,0.000006866076,0.000053686108,0.0000046809578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003428653,0.0004396675,0.0005048244,0.00044240887,0.00015528206,0.00054112944,0.00042762473,0.00043590745,0.0012146304],"category_scores_gemma":[0.0004219456,0.00013474058,0.00036573832,0.000389087,0.00015335885,0.0012928945,0.0003220807,0.00040979945,0.00036022256],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002334001,0.00012274188,0.009864347,0.013543989,0.00020166548,0.0009469821,0.0007600114,0.041577123,0.6290477,0.024891062,0.0052428604,0.27356815],"study_design_scores_gemma":[0.00003565353,0.0010850893,0.020841604,0.0018372094,0.00076768623,0.0023766835,0.0011430002,0.24203962,0.42400035,0.03718937,0.2685154,0.00016833484],"about_ca_topic_score_codex":0.0008060045,"about_ca_topic_score_gemma":0.0009237468,"teacher_disagreement_score":0.0012146304,"about_ca_system_score_codex":0.00029568438,"about_ca_system_score_gemma":0.0003616083,"threshold_uncertainty_score":0.0040633082},"labels":[],"label_agreement":null},{"id":"W4408104861","doi":"10.1016/j.compchemeng.2025.109088","title":"Utilization of Hydrogen Pentoxide and Hydrogen Peroxide in transportation sector: A comprehensive assessment study","year":2025,"lang":"en","type":"article","venue":"Computers & Chemical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Hydrogen peroxide; Hydrogen; Pentoxide; Chemistry; Engineering; Environmental science; Waste management; Chemical engineering; Inorganic chemistry; Organic chemistry; Vanadium","score_opus":0.017665083891497946,"score_gpt":0.2776071659142976,"score_spread":0.25994208202279967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408104861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953941,0.001316141,0.0012205979,0.00003568845,0.0000021176984,0.00002450264,0.00034688532,0.000008586034,0.0016513587],"genre_scores_gemma":[0.9963277,0.0020673987,0.0006111735,0.000008762788,0.0000018660022,0.000012121199,0.00027338465,0.0000023108446,0.00069515646],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99970347,0.000042105396,0.000018798151,0.00004379768,0.00015686588,0.00003488041],"domain_scores_gemma":[0.9996025,0.00007657057,0.00010152527,0.000017834227,0.00018543666,0.00001613324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051233283,0.00054019794,0.00041706164,0.0017369855,0.00029279024,0.0007826265,0.00033947875,0.00046149545,0.0002876587],"category_scores_gemma":[0.0003588488,0.00022196575,0.00095175137,0.0017503494,0.00018355323,0.0009378944,0.00046914796,0.0001728329,0.0000865688],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011174703,0.0008416832,0.60177124,0.0018875295,0.0013472935,0.0017612126,0.001221613,0.095625065,0.08308886,0.0021297224,0.0012829737,0.20792538],"study_design_scores_gemma":[0.000023219509,0.0029603562,0.8643608,0.00023504028,0.0017868784,0.0008410817,0.003823071,0.06961087,0.044105824,0.0015661202,0.010585455,0.00010123756],"about_ca_topic_score_codex":0.014745812,"about_ca_topic_score_gemma":0.021173231,"teacher_disagreement_score":0.014745812,"about_ca_system_score_codex":0.00087400246,"about_ca_system_score_gemma":0.0006816942,"threshold_uncertainty_score":0.029319942},"labels":[],"label_agreement":null},{"id":"W4408139017","doi":"10.1016/j.ress.2025.110980","title":"Early prediction of battery life using an interpretable health indicator with evolutionary computing","year":2025,"lang":"en","type":"article","venue":"Reliability Engineering & System Safety","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Evolutionary algorithm; Computer science; Artificial intelligence; Machine learning","score_opus":0.008640588198193013,"score_gpt":0.23520364169546668,"score_spread":0.22656305349727365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408139017","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36534107,0.00044277738,0.6299042,0.000226863,0.00009607785,0.00006384735,0.0002528717,0.0009349109,0.002737327],"genre_scores_gemma":[0.96387666,0.00006435195,0.03512804,0.00003392811,0.000014656286,0.000023961957,0.00013001585,0.000018820929,0.0007094753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981457,0.000033961347,0.000011420301,0.000054359585,0.00005834224,0.000027294018],"domain_scores_gemma":[0.99929976,0.0003467129,0.00008443886,0.00004728575,0.00018900416,0.000032657284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003980641,0.0006227998,0.00051033986,0.00077661185,0.00020214794,0.00058650563,0.00046470447,0.00055953435,0.0008520546],"category_scores_gemma":[0.0020503688,0.00014928036,0.00032536202,0.00041393377,0.00020094552,0.0005640034,0.0004217325,0.0005390887,0.000226315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006053247,0.0004241861,0.054796398,0.00016822337,0.000111045905,0.00047606797,0.00015600136,0.54436463,0.04431741,0.003743633,0.0017046455,0.34913245],"study_design_scores_gemma":[0.0000045657766,0.00007058324,0.0044276863,0.000008620327,0.000013342348,0.000038041522,0.0000107319465,0.9907183,0.0034932492,0.0010466413,0.00016004492,0.000008167907],"about_ca_topic_score_codex":0.0018782413,"about_ca_topic_score_gemma":0.0019716178,"teacher_disagreement_score":0.0018782413,"about_ca_system_score_codex":0.00031276367,"about_ca_system_score_gemma":0.00027804394,"threshold_uncertainty_score":0.0037346482},"labels":[],"label_agreement":null},{"id":"W4408154283","doi":"10.3390/wevj16030147","title":"Integrating Battery Energy Storage Systems for Sustainable EV Charging Infrastructure","year":2025,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Agência Nacional de Energia Elétrica; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Battery (electricity); Energy storage; Sustainable energy; Battery storage; Environmental science; Automotive engineering; Computer science; Environmental economics; Business; Renewable energy; Engineering; Electrical engineering; Physics","score_opus":0.004951739910289849,"score_gpt":0.23642470463965193,"score_spread":0.23147296472936207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408154283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71426123,0.004879062,0.1811025,0.0016329084,0.00023881679,0.00037921715,0.00078496634,0.0013116247,0.095409654],"genre_scores_gemma":[0.9865448,0.0007560119,0.009227672,0.00004173052,0.000011008633,0.000028629616,0.00011793821,0.000016739099,0.0032553878],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99983835,0.000032111024,0.000011013958,0.000015498066,0.000077371515,0.000025642581],"domain_scores_gemma":[0.99989665,0.000016451839,0.000007409692,0.0000127032645,0.000059487273,0.0000073622314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020075479,0.0002486079,0.00019002627,0.00027924552,0.00023429997,0.00073957647,0.00035538914,0.00028330556,0.002211522],"category_scores_gemma":[0.00032268406,0.000101790734,0.00024462037,0.00034633532,0.0001442772,0.0009371097,0.0006017858,0.00022373462,0.00058319425],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059670757,0.00045843574,0.017601872,0.001030117,0.00019839907,0.0011147901,0.000487705,0.10020877,0.22538976,0.034844663,0.0047814334,0.6132873],"study_design_scores_gemma":[0.00027104423,0.0025565918,0.027417883,0.00039456828,0.00046001494,0.0013623093,0.0016036916,0.4559731,0.2577543,0.031867523,0.22019807,0.00014092802],"about_ca_topic_score_codex":0.0032400724,"about_ca_topic_score_gemma":0.006472952,"teacher_disagreement_score":0.0032400724,"about_ca_system_score_codex":0.00044010463,"about_ca_system_score_gemma":0.0007048744,"threshold_uncertainty_score":0.0073982477},"labels":[],"label_agreement":null},{"id":"W4408154666","doi":"10.3390/batteries11030095","title":"Correction: Akram, M.N.; Abdul-Kader, W. Repurposing Second-Life EV Batteries to Advance Sustainable Development: A Comprehensive Review. Batteries 2024, 10, 452","year":2025,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Repurposing; Computer science; Engineering; Waste management","score_opus":0.013425824282232835,"score_gpt":0.2808958779127305,"score_spread":0.2674700536304977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408154666","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007156228,0.0016936078,0.0007276271,0.049387466,0.9454272,0.000021803315,0.001050274,0.00031674377,0.001303762],"genre_scores_gemma":[0.013558207,0.024183195,0.008702367,0.197182,0.52143544,0.00038251266,0.004715446,0.0026362343,0.22720468],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99204296,0.00097372377,0.0011047998,0.0012422379,0.004014422,0.00062180264],"domain_scores_gemma":[0.93857604,0.009254634,0.002846287,0.0021309492,0.044906765,0.0022853727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063182344,0.0031689615,0.002568999,0.004083632,0.004164749,0.005926337,0.0050730743,0.007830675,0.03579874],"category_scores_gemma":[0.08269789,0.0014772726,0.0026202134,0.003166462,0.003912515,0.0034489806,0.0030459664,0.014086721,0.036392555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012332342,0.0000027119484,0.000022387578,0.000114601484,0.000006151437,0.00006992093,0.000027602713,0.000020279995,0.000040370764,0.00046489757,0.99650073,0.0027181434],"study_design_scores_gemma":[0.00001579979,0.0000095492915,0.00021108436,0.00020448874,0.000022985245,0.00024453917,0.000053296582,0.00009422459,0.00029974256,0.00067599904,0.99814343,0.000024894203],"about_ca_topic_score_codex":0.023580275,"about_ca_topic_score_gemma":0.022241723,"teacher_disagreement_score":0.03579874,"about_ca_system_score_codex":0.0049134586,"about_ca_system_score_gemma":0.009740082,"threshold_uncertainty_score":0.119758666},"labels":[],"label_agreement":null},{"id":"W4408160082","doi":"10.1016/j.applthermaleng.2025.126155","title":"Battery heating strategy to enhance fast-charge performance at low temperatures","year":2025,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute for Information and Communications Technology Promotion; Ministry of Science and ICT, South Korea; Iran Telecommunication Research Center; Information Technology Research Centre; Korea Institute of Energy Research","keywords":"Battery (electricity); Materials science; Charge (physics); Automotive engineering; Electrical engineering; Charge cycle; Engineering; Engineering physics; Mechanical engineering; Nuclear engineering; Automotive battery; Thermodynamics; Physics; Power (physics)","score_opus":0.004587216600645324,"score_gpt":0.22834838825835055,"score_spread":0.22376117165770523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408160082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85281384,0.0033518933,0.119626,0.0005840052,0.00054224965,0.00013097463,0.00023709475,0.0011707656,0.021543201],"genre_scores_gemma":[0.9851736,0.00045898586,0.0070594624,0.000095236,0.00003041671,0.000045761106,0.00007749931,0.00006279893,0.006996337],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99995553,0.0000025927766,0.0000022730233,0.000012429207,0.000012465616,0.000014608903],"domain_scores_gemma":[0.9999591,0.0000068432805,0.0000052420837,0.0000068163017,0.000016226762,0.0000057117686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000061639024,0.0003009352,0.00026793228,0.0001825054,0.0002450443,0.00033068637,0.00037367642,0.00025741645,0.0025741276],"category_scores_gemma":[0.000104657185,0.0001445504,0.00021654653,0.00017782599,0.00013873597,0.00058599777,0.00022806178,0.0004166182,0.00078975386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017299071,0.000089816705,0.00022330265,0.00020354344,0.000013734866,0.00009454399,0.000055714234,0.001783188,0.9728986,0.0020416325,0.00081624725,0.02160668],"study_design_scores_gemma":[0.000010712357,0.00008909585,0.00044052905,0.000005301019,0.00001610511,0.00006672684,0.000027569275,0.010637172,0.98478216,0.0003529104,0.0035622963,0.000009469801],"about_ca_topic_score_codex":0.00023278293,"about_ca_topic_score_gemma":0.0006820523,"teacher_disagreement_score":0.0025741276,"about_ca_system_score_codex":0.00017859523,"about_ca_system_score_gemma":0.00016021427,"threshold_uncertainty_score":0.008611262},"labels":[],"label_agreement":null},{"id":"W4408274031","doi":"10.1080/03081060.2025.2476083","title":"Battery electric bus transit system optimization with battery degradation and energy consumption uncertainty","year":2025,"lang":"en","type":"article","venue":"Transportation Planning and Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Automotive engineering; Battery (electricity); Energy consumption; Public transport; Transit (satellite); Battery electric vehicle; Engineering; Automotive battery; Computer science; Transport engineering; Electrical engineering; Power (physics)","score_opus":0.007037931855640836,"score_gpt":0.21912907556707983,"score_spread":0.212091143711439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408274031","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66685176,0.0012174223,0.302426,0.0016556595,0.00008376511,0.00016847606,0.0012131601,0.00031658463,0.026067091],"genre_scores_gemma":[0.9917536,0.00017412221,0.004715683,0.000035875753,0.000007825019,0.000044246983,0.00014856253,0.000022458164,0.003097607],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996834,0.00012985984,0.000010648612,0.000045512807,0.00005314576,0.000077545956],"domain_scores_gemma":[0.9994692,0.0003248022,0.000070146474,0.00002003675,0.000086565495,0.000029101411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006652815,0.0007754641,0.0007571147,0.00038360906,0.0003410794,0.0011175206,0.00055033405,0.0008773257,0.0015976849],"category_scores_gemma":[0.0016683287,0.00050245237,0.00067612017,0.00057566556,0.00047278928,0.00083848136,0.0006802593,0.00081059587,0.000121817226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015641734,0.0000058769383,0.00021791445,0.000010571258,0.0000063690095,0.000024198218,0.0000054611646,0.9979736,0.00012587602,0.00075133215,0.00010707212,0.000756012],"study_design_scores_gemma":[0.0000048580278,0.000017121896,0.00020069508,0.0000022137497,0.0000056436397,0.000006958014,0.000013733907,0.9988655,0.000094723386,0.0006434136,0.00014267275,0.000002470723],"about_ca_topic_score_codex":0.020162802,"about_ca_topic_score_gemma":0.01276936,"teacher_disagreement_score":0.020162802,"about_ca_system_score_codex":0.0016413991,"about_ca_system_score_gemma":0.001463135,"threshold_uncertainty_score":0.04009086},"labels":[],"label_agreement":null},{"id":"W4408280997","doi":"10.1109/iecon55916.2024.10905739","title":"Comparative Study of Battery Management Algorithms on Customer Return and Battery Life in Building Energy Storage Applications","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Computer science; Energy storage; Energy management; Reliability engineering; Energy (signal processing); Engineering; Mathematics","score_opus":0.024966453945576478,"score_gpt":0.30552879280947925,"score_spread":0.2805623388639028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408280997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98241353,0.0015138616,0.012686208,0.0000665362,0.000033192217,0.00003537899,0.000063692016,0.00014933372,0.0030382285],"genre_scores_gemma":[0.99724764,0.00030314786,0.002091446,0.000008474468,0.0000068017357,0.000008709498,0.000047580437,0.000009697272,0.0002764766],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99971205,0.00008435905,0.000030613286,0.000039012608,0.00008279528,0.000051150546],"domain_scores_gemma":[0.9980301,0.0013120327,0.000108765045,0.000088616565,0.00041873695,0.000041691692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065221207,0.00039658538,0.00040460392,0.000662436,0.00018455954,0.00043752164,0.00028724023,0.00034390288,0.00075733016],"category_scores_gemma":[0.003172431,0.00008185451,0.00022623237,0.0006118445,0.000121305,0.00071690464,0.00016217458,0.00016394767,0.0000956556],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0036114482,0.0008327964,0.025898065,0.00072250905,0.00019779555,0.00023371605,0.00022755342,0.37765783,0.03370461,0.0018092545,0.001483686,0.5536208],"study_design_scores_gemma":[0.00010943436,0.005189316,0.05549723,0.00005513769,0.00035364376,0.0004398214,0.0004272647,0.8764433,0.058467865,0.0008028885,0.002167188,0.000046911904],"about_ca_topic_score_codex":0.0007983917,"about_ca_topic_score_gemma":0.00091811793,"teacher_disagreement_score":0.0007983917,"about_ca_system_score_codex":0.00027194814,"about_ca_system_score_gemma":0.00017435486,"threshold_uncertainty_score":0.0034492612},"labels":[],"label_agreement":null},{"id":"W4408281007","doi":"10.1109/iecon55916.2024.10905256","title":"Robust Battery State-of-Charge Estimation in Presence of Model Uncertainties Using KalmanNet","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; HORIZON EUROPE Framework Programme; European Commission; Jaguar Land Rover; McMaster University","keywords":"State of charge; Battery (electricity); State (computer science); Estimation; Computer science; Robustness (evolution); Charge (physics); Control theory (sociology); Engineering; Algorithm; Artificial intelligence; Physics; Power (physics); Chemistry","score_opus":0.055215545852725645,"score_gpt":0.3000052865870344,"score_spread":0.24478974073430876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408281007","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060147867,0.0004606617,0.9364006,0.00010309957,0.000054956552,0.000028355114,0.00007539481,0.00092861144,0.001800484],"genre_scores_gemma":[0.96160066,0.00025154356,0.036533564,0.00003493104,0.000031357285,0.000062765284,0.00018312999,0.00003826544,0.0012638366],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998031,0.000035071356,0.000017146454,0.00006188966,0.000056296387,0.00002650159],"domain_scores_gemma":[0.99954283,0.00021853078,0.000064390726,0.000043517786,0.00012095193,0.000009815965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005388614,0.0006908821,0.0008443844,0.0003146467,0.00031485464,0.0005991979,0.0006092576,0.0006010489,0.0006503354],"category_scores_gemma":[0.0015434538,0.00035867267,0.00041849117,0.00033216667,0.00037792083,0.0010194164,0.00053403707,0.000667283,0.00021111341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008465485,0.000018751205,0.00104787,0.000074014446,0.000042818177,0.000046634268,0.00004442334,0.94347864,0.004112953,0.001449838,0.00033572913,0.049263723],"study_design_scores_gemma":[0.0000029717396,0.000010131321,0.00027644477,0.0000032615771,0.000004451789,0.000006533791,0.000003257191,0.99803084,0.0010996219,0.00040247553,0.0001558388,0.0000041447024],"about_ca_topic_score_codex":0.015978012,"about_ca_topic_score_gemma":0.011780645,"teacher_disagreement_score":0.015978012,"about_ca_system_score_codex":0.0004892701,"about_ca_system_score_gemma":0.00092177524,"threshold_uncertainty_score":0.03176999},"labels":[],"label_agreement":null},{"id":"W4408281253","doi":"10.1109/iecon55916.2024.10905512","title":"Temporal Sensitivity Analysis for Enhanced Dynamic Equivalent Circuit Modeling of Lithium-ion Batteries in On-board Battery Management Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); Sensitivity (control systems); Lithium (medication); Equivalent circuit; Lithium-ion battery; Computer science; Electrical engineering; Electronic engineering; Engineering; Voltage; Physics; Power (physics)","score_opus":0.030138348342254123,"score_gpt":0.28802098068568643,"score_spread":0.25788263234343234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408281253","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10673244,0.00070005533,0.86776364,0.00050104153,0.00005712563,0.0001229077,0.00027604937,0.00067612267,0.023170535],"genre_scores_gemma":[0.9868581,0.00025303758,0.007814891,0.000053318032,0.000014172107,0.00008728746,0.000091146445,0.00006780292,0.0047602654],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996358,0.00014523405,0.000011198671,0.00004949886,0.00010764158,0.000050675782],"domain_scores_gemma":[0.9989724,0.00076072884,0.00007615321,0.000036911988,0.000139424,0.000014388979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009191726,0.00091937097,0.00064768275,0.00060671405,0.00037838964,0.0009994541,0.00061708473,0.00096423243,0.0031044509],"category_scores_gemma":[0.0030497003,0.00035776754,0.00093773665,0.00027731012,0.0004584927,0.00079474435,0.0006656249,0.0009134088,0.00024513144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018495663,0.000007581554,0.00016378587,0.000021839634,0.000012617073,0.000047183734,0.000028376397,0.9935993,0.0010876644,0.0028404463,0.00013083963,0.0020419173],"study_design_scores_gemma":[5.1416043e-7,0.000002463636,0.00004182005,0.000001716839,0.0000020856214,0.0000027069134,0.000002348891,0.99937624,0.00014308795,0.00034149774,0.000084515814,0.0000010794963],"about_ca_topic_score_codex":0.01369387,"about_ca_topic_score_gemma":0.0052549066,"teacher_disagreement_score":0.01369387,"about_ca_system_score_codex":0.0012804649,"about_ca_system_score_gemma":0.0005454755,"threshold_uncertainty_score":0.027228296},"labels":[],"label_agreement":null},{"id":"W4408281296","doi":"10.1109/iecon55916.2024.10906014","title":"Crucial Examination of Thermal Behavior of Solid-State Battery for Intelligent Gray Box Model-based Automotive Battery Management Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Automotive industry; Battery (electricity); Automotive engineering; Thermal management of electronic devices and systems; Computer science; Engineering; Mechanical engineering; Aerospace engineering","score_opus":0.02549538930002862,"score_gpt":0.2960642911995057,"score_spread":0.27056890189947713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408281296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7781103,0.0010512329,0.20732969,0.00028416672,0.00011496433,0.00010183061,0.0005077197,0.001346562,0.01115357],"genre_scores_gemma":[0.9932319,0.00020325676,0.004780344,0.000021678155,0.000003894779,0.000034769022,0.00014642323,0.000046281588,0.0015315836],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999869,0.000022834734,0.000007591306,0.000021360753,0.00006718328,0.000011947106],"domain_scores_gemma":[0.9998011,0.000057634265,0.000015297988,0.000041773805,0.00007654307,0.000007739265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022372845,0.0003310409,0.0003995209,0.00019914038,0.00021755148,0.0005390052,0.0003365369,0.0002955801,0.0026349088],"category_scores_gemma":[0.0005619306,0.00013377696,0.00024797887,0.00020197878,0.000227227,0.0007896534,0.00021158555,0.00023405458,0.00055527134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066933734,0.00017617753,0.006843805,0.00062035583,0.00006487245,0.00031563512,0.0004887375,0.19165201,0.6946021,0.0054802154,0.0020428495,0.09704396],"study_design_scores_gemma":[0.000012086638,0.00030495526,0.004918913,0.000034072185,0.00003756066,0.00010892249,0.00017548703,0.70668805,0.28155616,0.0016355795,0.0044966945,0.00003158545],"about_ca_topic_score_codex":0.0008474139,"about_ca_topic_score_gemma":0.0012736873,"teacher_disagreement_score":0.0026349088,"about_ca_system_score_codex":0.00033017792,"about_ca_system_score_gemma":0.00026178817,"threshold_uncertainty_score":0.008814633},"labels":[],"label_agreement":null},{"id":"W4408282000","doi":"10.1109/iecon55916.2024.10905852","title":"Comparative Study of Battery Aging on Battery Electric Vehicle and Battery-Ultracapacitor Hybrid Energy Storage Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Supercapacitor; Automotive engineering; Automotive battery; Energy storage; Electric vehicle; Computer science; Electrical engineering; Engineering; Power (physics); Capacitance; Electrode; Chemistry; Physics","score_opus":0.020261817491896948,"score_gpt":0.26685637291128195,"score_spread":0.246594555419385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408282000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980287,0.0028918795,0.010278527,0.00008592229,0.00007080336,0.00003232612,0.00033763016,0.00017309964,0.005842707],"genre_scores_gemma":[0.9976986,0.0005694462,0.00055912643,0.000009396418,0.000009811506,0.0000074366385,0.00017310625,0.000011200678,0.0009617707],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9998204,0.000030502275,0.00001848196,0.000028377557,0.00007300777,0.000029193707],"domain_scores_gemma":[0.9996043,0.00012895487,0.00003161637,0.00004219081,0.00017803647,0.0000149478665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040220696,0.0003281432,0.0005458049,0.0005756261,0.00021105423,0.00036175502,0.00030165652,0.00023582869,0.0010714685],"category_scores_gemma":[0.00085981365,0.00007931695,0.00038963414,0.00044942682,0.00016011471,0.00073598337,0.00023645932,0.00016491741,0.00019403546],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025986494,0.00030071367,0.049390916,0.002387422,0.0003702256,0.0013892553,0.00088333007,0.4608816,0.10321984,0.0057553956,0.0035791798,0.3692435],"study_design_scores_gemma":[0.000038055776,0.0039473865,0.07471568,0.00013252987,0.00038808063,0.0010731096,0.0008634741,0.824232,0.07918669,0.0024192783,0.012930646,0.00007299977],"about_ca_topic_score_codex":0.001508825,"about_ca_topic_score_gemma":0.0016012973,"teacher_disagreement_score":0.001508825,"about_ca_system_score_codex":0.000289831,"about_ca_system_score_gemma":0.0001641543,"threshold_uncertainty_score":0.0035844445},"labels":[],"label_agreement":null},{"id":"W4408282032","doi":"10.1109/iecon55916.2024.10905587","title":"An Effective Hybrid Approach for Detection of False Data Injection Attacks in Connected Battery Systems with Noisy Measurements","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; HORIZON EUROPE Framework Programme; European Commission; Jaguar Land Rover; McMaster University","keywords":"Computer science; Battery (electricity); Computer security; Power (physics)","score_opus":0.04937933530192218,"score_gpt":0.3034596030504596,"score_spread":0.2540802677485374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408282032","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014499731,0.00019397585,0.98417664,0.000034909106,0.00004003662,0.00002384225,0.000014281912,0.0005150879,0.00050146127],"genre_scores_gemma":[0.78344244,0.00021678994,0.21435073,0.00010053451,0.000060347258,0.00007579376,0.00007790628,0.00005075873,0.0016246365],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927753,0.00013702273,0.00005899724,0.00014366173,0.0003231335,0.000059706916],"domain_scores_gemma":[0.9990723,0.0003852536,0.00014673748,0.00012382546,0.00024101473,0.000030822623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064005767,0.00082983315,0.0007935892,0.00090779265,0.00024460824,0.00071295846,0.0007036163,0.0007231151,0.0007287807],"category_scores_gemma":[0.0022497987,0.00027089543,0.0004928962,0.00031033877,0.0003963664,0.00103378,0.0008204788,0.0006380085,0.0003362829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005863348,0.00016302554,0.007390223,0.0003603548,0.00025472377,0.00047812096,0.000349883,0.20243646,0.08199355,0.0092239445,0.0014184554,0.6953449],"study_design_scores_gemma":[0.0000123448435,0.00015534153,0.0015222392,0.000013938883,0.00002353579,0.0003077664,0.000031605876,0.9812269,0.0143705215,0.001395736,0.0009165196,0.000023555525],"about_ca_topic_score_codex":0.0009064219,"about_ca_topic_score_gemma":0.0011575221,"teacher_disagreement_score":0.00090779265,"about_ca_system_score_codex":0.00027923408,"about_ca_system_score_gemma":0.0004140117,"threshold_uncertainty_score":0.0033850074},"labels":[],"label_agreement":null},{"id":"W4408282075","doi":"10.1109/iecon55916.2024.10905449","title":"Sensitivity Analysis of Battery Degradation Concerning Control Parameters of a Hybrid Nanogrid","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Canada Research Chairs","keywords":"Sensitivity (control systems); Degradation (telecommunications); Battery (electricity); Computer science; Control (management); Control theory (sociology); Engineering; Electronic engineering; Power (physics); Telecommunications; Artificial intelligence; Physics","score_opus":0.01824045711391328,"score_gpt":0.2621315876541243,"score_spread":0.24389113054021103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408282075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94310683,0.00087081187,0.048357464,0.00036333883,0.00005014537,0.00014119521,0.000625385,0.00031671848,0.0061681713],"genre_scores_gemma":[0.9987765,0.00005437046,0.00079342886,0.000020670635,0.0000015213884,0.000018553459,0.000045656714,0.000010308676,0.0002789214],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993767,0.00019527973,0.000031856536,0.000113704446,0.00016995704,0.00011253494],"domain_scores_gemma":[0.99726677,0.0020029976,0.0002070829,0.00018330471,0.00029832794,0.00004152352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014828941,0.0007165806,0.0006654705,0.0006105952,0.00036137,0.0010160896,0.00053168647,0.0007711602,0.0010613246],"category_scores_gemma":[0.0041271267,0.00024418157,0.00058353145,0.00039267653,0.0007128389,0.0008170098,0.0006973323,0.0006325093,0.00011767859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002850953,0.000048188536,0.0035540697,0.0001531823,0.00006785764,0.00023019304,0.000063902546,0.97895986,0.011018703,0.0007781343,0.00029312476,0.004547754],"study_design_scores_gemma":[0.000026687727,0.00049852417,0.0064387787,0.00003971669,0.00008506129,0.00014715141,0.00020810813,0.9650132,0.025023391,0.0016598371,0.0008146216,0.00004496467],"about_ca_topic_score_codex":0.004987537,"about_ca_topic_score_gemma":0.0023026064,"teacher_disagreement_score":0.004987537,"about_ca_system_score_codex":0.0012565444,"about_ca_system_score_gemma":0.0002849167,"threshold_uncertainty_score":0.009917021},"labels":[],"label_agreement":null},{"id":"W4408282167","doi":"10.1109/iecon55916.2024.10905196","title":"A Multilevel, Multimodule DC-DC Converter Architecture For Universal Electric Vehicle (EV) Battery Charging Applications","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Battery (electricity); Electrical engineering; Computer science; Electric vehicle; Engineering; Physics; Power (physics)","score_opus":0.012869651823851943,"score_gpt":0.257189128027157,"score_spread":0.24431947620330505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408282167","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09882535,0.0012640255,0.8520282,0.00036954047,0.0002132079,0.00024941246,0.00052495307,0.0030144728,0.04351082],"genre_scores_gemma":[0.85345286,0.0006649248,0.12987898,0.00018956972,0.000073080206,0.00013577103,0.0003150694,0.00009726883,0.015192577],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998956,0.000011010451,0.0000074773625,0.000024524343,0.000049035705,0.000012394799],"domain_scores_gemma":[0.99993145,0.0000068019835,0.000006388263,0.000013395541,0.00003460307,0.000007301361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008647565,0.00020248358,0.00028875095,0.00030335752,0.00032046446,0.0005243969,0.0006623053,0.00026933505,0.0053975023],"category_scores_gemma":[0.0001163853,0.00010948854,0.00026815667,0.0004281025,0.00009786153,0.0005433428,0.00027274244,0.00049220794,0.0014208679],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017693639,0.00014816574,0.0011363031,0.000670752,0.00006981502,0.0002836732,0.000116909345,0.011417676,0.6106129,0.010842587,0.0057545565,0.35876966],"study_design_scores_gemma":[0.00008053886,0.0015117528,0.0069376025,0.00017952843,0.00015747387,0.0035164494,0.00016685159,0.28915897,0.55532116,0.00966517,0.13321447,0.00009006188],"about_ca_topic_score_codex":0.00040837252,"about_ca_topic_score_gemma":0.001091996,"teacher_disagreement_score":0.0053975023,"about_ca_system_score_codex":0.0002407303,"about_ca_system_score_gemma":0.00019219489,"threshold_uncertainty_score":0.018056452},"labels":[],"label_agreement":null},{"id":"W4408346252","doi":"10.58491/2735-4202.3255","title":"Enhance the Design of Low-cost Fast Charging Battery Systems for Electric Mobility Systems","year":2025,"lang":"en","type":"article","venue":"MEJ Mansoura Engineering Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"BC Hydro (Canada)","funders":"","keywords":"Battery (electricity); Automotive engineering; Computer science; Electrical engineering; Engineering; Physics; Power (physics)","score_opus":0.012774668639399186,"score_gpt":0.2483620528665941,"score_spread":0.2355873842271949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408346252","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13724183,0.0020072665,0.8254892,0.0004694221,0.00019867561,0.00039765582,0.00027438864,0.0018238936,0.032097727],"genre_scores_gemma":[0.9433843,0.000703544,0.045350745,0.00009107458,0.000038564693,0.00018628093,0.00017641214,0.00006774326,0.010001356],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99983096,0.000030233115,0.000011650359,0.000026235142,0.000080356054,0.000020473904],"domain_scores_gemma":[0.9998584,0.000015757203,0.000016692566,0.000013978841,0.000089203495,0.0000060657853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017100497,0.00039880606,0.00033115485,0.00026638314,0.00027192972,0.0006706243,0.00089045917,0.00034989128,0.003597443],"category_scores_gemma":[0.00033939126,0.00016112122,0.00031509215,0.0002008528,0.000110697496,0.00070487236,0.00031509367,0.00024937658,0.0010881609],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045510876,0.0002281614,0.0041351276,0.0016983572,0.00016051308,0.0005655365,0.00040613778,0.23307386,0.32956436,0.019741146,0.006748174,0.4032235],"study_design_scores_gemma":[0.00008893271,0.0017041413,0.004324911,0.00014644091,0.00014383328,0.00060292555,0.00023810752,0.77240306,0.13483973,0.0056398325,0.07980933,0.00005868834],"about_ca_topic_score_codex":0.0010871269,"about_ca_topic_score_gemma":0.0012744119,"teacher_disagreement_score":0.003597443,"about_ca_system_score_codex":0.0003826049,"about_ca_system_score_gemma":0.00040813358,"threshold_uncertainty_score":0.012034655},"labels":[],"label_agreement":null},{"id":"W4408377620","doi":"10.1051/e3sconf/202561902011","title":"Optimized Cooling Solutions for Lithium-Ion Batteries in Electric Vehicles using PCM Composites","year":2025,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Materials science; Composite material; Lithium (medication); Ion; Automotive engineering; Engineering; Chemistry","score_opus":0.037939876406670084,"score_gpt":0.29859695491113963,"score_spread":0.26065707850446956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408377620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9723856,0.0028308288,0.018295817,0.00010072374,0.00014255552,0.000113193724,0.00019215317,0.00013093589,0.0058081984],"genre_scores_gemma":[0.97976,0.0014472519,0.016390841,0.00002741853,0.000012471558,0.00013405592,0.00013261789,0.000051869712,0.0020434298],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985623,0.000017179676,0.000010298997,0.00002733595,0.000068070425,0.000020974738],"domain_scores_gemma":[0.9999157,0.000020131876,0.000017460045,0.0000064162,0.00003377962,0.00000657826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002901462,0.00032138446,0.00032249923,0.00040924724,0.00025303522,0.0005678461,0.00035332254,0.0002156961,0.0013741748],"category_scores_gemma":[0.00041555718,0.00013963807,0.0003062451,0.0003270513,0.00016965711,0.0005142162,0.00022175506,0.00038384102,0.00031341228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003452929,0.00020880323,0.00051172316,0.00057359674,0.000012864625,0.00006538114,0.00007158525,0.009654145,0.95949847,0.0008735515,0.00028456363,0.027900022],"study_design_scores_gemma":[0.000028828394,0.0006539433,0.001258115,0.000029914301,0.000022448023,0.000026509377,0.00009167781,0.017738648,0.97598356,0.00018033547,0.00397209,0.000013871831],"about_ca_topic_score_codex":0.00047571983,"about_ca_topic_score_gemma":0.0017368094,"teacher_disagreement_score":0.0013741748,"about_ca_system_score_codex":0.0003106348,"about_ca_system_score_gemma":0.00027301745,"threshold_uncertainty_score":0.0045971274},"labels":[],"label_agreement":null},{"id":"W4408408156","doi":"10.3390/wevj16030168","title":"LSTM-Based State-of-Charge Estimation and User Interface Development for Lithium-Ion Battery Management","year":2025,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Rimouski","funders":"","keywords":"Lithium (medication); Interface (matter); Charge (physics); Ion; Battery (electricity); State of charge; State (computer science); Estimation; Lithium-ion battery; Computer science; Materials science; Automotive engineering; Engineering; Chemistry; Systems engineering; Physics; Algorithm; Operating system; Biology; Thermodynamics; Power (physics)","score_opus":0.009486038157139443,"score_gpt":0.26635052955627525,"score_spread":0.2568644913991358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408408156","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027519455,0.0006829983,0.95645285,0.00022786797,0.000119631964,0.000081773374,0.00028882452,0.010992336,0.0036341976],"genre_scores_gemma":[0.78032416,0.00046982785,0.21163772,0.0003126924,0.000062692125,0.00032020142,0.0007612137,0.00038133224,0.0057301447],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998159,0.00003927335,0.000015488364,0.00005009088,0.000056777077,0.00002258208],"domain_scores_gemma":[0.9997919,0.00006435078,0.00001799679,0.00002714197,0.000089372465,0.000009182268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036874058,0.0007058696,0.00031134757,0.0002531863,0.00015786273,0.00062643056,0.0010778501,0.0006654705,0.0041996646],"category_scores_gemma":[0.0016040999,0.00026827637,0.00034920315,0.000277819,0.00019855076,0.0011527422,0.0006171004,0.00078876375,0.0011021722],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003366766,0.00015983675,0.0018294415,0.00032201703,0.00010551263,0.0002684567,0.00021612283,0.35297647,0.045553096,0.00480338,0.011189384,0.5822396],"study_design_scores_gemma":[0.000005336398,0.00003242477,0.0002316515,0.000007922915,0.000009822967,0.000025233301,0.000012596986,0.9874576,0.009044591,0.0012995353,0.0018662328,0.0000070779433],"about_ca_topic_score_codex":0.003532479,"about_ca_topic_score_gemma":0.0058255414,"teacher_disagreement_score":0.0041996646,"about_ca_system_score_codex":0.0004523523,"about_ca_system_score_gemma":0.00055298547,"threshold_uncertainty_score":0.014049232},"labels":[],"label_agreement":null},{"id":"W4408654221","doi":"10.1109/tim.2025.3552877","title":"State of Health Estimation for Lithium-Ion Batteries Using Separable LogSparse Self-Attention Transformer","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China; Canada-Israel Industrial Research and Development Foundation","keywords":"Transformer; State of health; Ion; Estimation; Electrical engineering; State (computer science); Computer science; Engineering; Reliability engineering; Physics; Voltage; Algorithm; Battery (electricity); Thermodynamics; Systems engineering; Quantum mechanics","score_opus":0.04704577614624255,"score_gpt":0.31379216723243686,"score_spread":0.2667463910861943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408654221","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25392088,0.00068322575,0.7409546,0.0002579966,0.00009709679,0.00005236835,0.00025485302,0.0012110119,0.00256803],"genre_scores_gemma":[0.9757898,0.0002342258,0.022332415,0.00005782564,0.00002527497,0.000026604956,0.00027146423,0.000023094073,0.0012393256],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985564,0.000026738118,0.000010644212,0.000038982173,0.000050072864,0.000017972432],"domain_scores_gemma":[0.9996542,0.00014085125,0.00004236242,0.000025097492,0.00012455591,0.000013099807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038733816,0.00049254234,0.00035201266,0.00047533656,0.00014507248,0.00037376265,0.0005126269,0.00031181183,0.00077281654],"category_scores_gemma":[0.001407837,0.00014850307,0.000376427,0.00036647375,0.0001847673,0.00078803307,0.0004383363,0.0004691218,0.00024096428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006557582,0.00022616031,0.019378584,0.00018596859,0.000121807905,0.00026611678,0.00019890247,0.456927,0.022840956,0.0023453368,0.0025638223,0.4942897],"study_design_scores_gemma":[0.000004056078,0.000030833937,0.001797378,0.0000036770928,0.000008944992,0.000037024867,0.00001352013,0.9942181,0.0031851144,0.0005166353,0.00017901606,0.000005690491],"about_ca_topic_score_codex":0.0062141884,"about_ca_topic_score_gemma":0.0059590605,"teacher_disagreement_score":0.0062141884,"about_ca_system_score_codex":0.00032883813,"about_ca_system_score_gemma":0.00037924334,"threshold_uncertainty_score":0.012356043},"labels":[],"label_agreement":null},{"id":"W4408779061","doi":"10.23919/icems60997.2024.10920947","title":"Multi-Objective Robust Optimization of a Low-Cost and Efficient IPMSM for Battery Electric Vehicle","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Automotive engineering; Electric vehicle; Battery (electricity); Computer science; Control theory (sociology); Engineering; Control (management); Power (physics); Physics; Artificial intelligence","score_opus":0.016697334271139317,"score_gpt":0.26227812764410197,"score_spread":0.24558079337296265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408779061","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04422918,0.000295695,0.9497414,0.00014769199,0.00003313252,0.000058596688,0.000048605834,0.000142591,0.0053031705],"genre_scores_gemma":[0.85661954,0.00023140771,0.1393825,0.00005775507,0.000022128583,0.00021532411,0.00013558591,0.000055569526,0.0032801959],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997813,0.00006499039,0.000008944804,0.00003109483,0.000088341425,0.000025343672],"domain_scores_gemma":[0.99973863,0.00013281722,0.000047277656,0.00001514238,0.0000514579,0.000014576763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061218254,0.0006894601,0.00057867635,0.00055328733,0.0003049175,0.0006949688,0.00046339713,0.00074163376,0.001162215],"category_scores_gemma":[0.0011211497,0.00032660106,0.0006092916,0.00043685295,0.00038425782,0.00043204153,0.00048318718,0.0005534518,0.00018988084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019721472,0.000015504662,0.00021189402,0.000052829717,0.000015890504,0.000032688888,0.000012411386,0.9853763,0.0024111506,0.0015953833,0.00016594106,0.010090217],"study_design_scores_gemma":[0.0000039456327,0.000040794836,0.00009802976,0.000004565627,0.000004455095,0.000008340305,0.000006542211,0.99821496,0.0005669314,0.00064301264,0.00040606371,0.0000023103978],"about_ca_topic_score_codex":0.0012693547,"about_ca_topic_score_gemma":0.0012354532,"teacher_disagreement_score":0.0012693547,"about_ca_system_score_codex":0.0003874538,"about_ca_system_score_gemma":0.0006768732,"threshold_uncertainty_score":0.0038879514},"labels":[],"label_agreement":null},{"id":"W4408792503","doi":"10.1109/tim.2025.3553951","title":"Piecewise Linear Approximation of Battery Open-Circuit Voltage Characteristics Using Dynamic Programming","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Voltage; Piecewise; Piecewise linear function; Dynamic programming; Electronic engineering; Capacitor; Computer science; Battery (electricity); Control theory (sociology); Electrical engineering; Engineering; Mathematics; Physics; Algorithm; Mathematical analysis","score_opus":0.05249640580899048,"score_gpt":0.3041275560465523,"score_spread":0.2516311502375618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408792503","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010930062,0.00021099109,0.9845462,0.00006994672,0.00001625422,0.000029118783,0.00013935528,0.0004972774,0.0035608092],"genre_scores_gemma":[0.8011235,0.0010853007,0.18653017,0.000118040836,0.000035360317,0.00037364665,0.0005437481,0.00026218343,0.009928152],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984646,0.000024106868,0.0000071678523,0.000041265455,0.000058237703,0.000022657452],"domain_scores_gemma":[0.9997502,0.00014388136,0.00003077819,0.000017195161,0.000050228795,0.00000774387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020946786,0.00069525896,0.000507917,0.00043612666,0.00022172017,0.00081994105,0.0008444211,0.00056579936,0.0024730582],"category_scores_gemma":[0.0010278504,0.00046189944,0.00074480183,0.00057747826,0.00027959186,0.0007376215,0.00041956772,0.0009256022,0.0005766362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001737023,0.000012503102,0.00030087563,0.000059466354,0.000010110353,0.000047442594,0.000036647692,0.9729978,0.002236159,0.0031299696,0.00040116828,0.020750465],"study_design_scores_gemma":[9.171949e-7,0.0000066130683,0.00004020578,0.000003308097,0.0000021870462,0.000010769259,0.00000393457,0.9984023,0.00036893156,0.00075064413,0.00040806932,0.00000218271],"about_ca_topic_score_codex":0.007425276,"about_ca_topic_score_gemma":0.00558656,"teacher_disagreement_score":0.007425276,"about_ca_system_score_codex":0.0005837415,"about_ca_system_score_gemma":0.00074874936,"threshold_uncertainty_score":0.01476413},"labels":[],"label_agreement":null},{"id":"W4408823756","doi":"10.35833/mpce.2023.000723","title":"Consideration on Present and Future of Battery Energy Storage System to Unlock Battery Value","year":2024,"lang":"en","type":"article","venue":"Journal of Modern Power Systems and Clean Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Battery (electricity); Energy storage; Value (mathematics); Automotive engineering; Energy (signal processing); Computer science; Reliability engineering; Battery storage; Engineering; Electrical engineering; Mathematics; Power (physics); Physics","score_opus":0.009011183538282645,"score_gpt":0.22895665125400133,"score_spread":0.21994546771571868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408823756","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07584696,0.1808058,0.07605652,0.2484715,0.004889545,0.00011925715,0.0011768856,0.0002386516,0.41239494],"genre_scores_gemma":[0.85239905,0.09394238,0.013263975,0.008741848,0.0022622086,0.00009493901,0.00027322065,0.000057345795,0.028965032],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992735,0.00017451585,0.000039357295,0.00009621086,0.00032840174,0.00008809359],"domain_scores_gemma":[0.9987545,0.0004615307,0.00006947081,0.000046265308,0.00058014126,0.000088114124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017053727,0.0002831681,0.00028957275,0.00072912837,0.0007109132,0.0028310663,0.0008791856,0.0021942097,0.0062944936],"category_scores_gemma":[0.0028598392,0.00017799732,0.0003828096,0.00081483007,0.0011673577,0.0052946224,0.000697783,0.0019460039,0.0006899363],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007789923,0.000041599462,0.0023321037,0.00048697053,0.000023749995,0.0003949897,0.0002388117,0.016577099,0.0032771418,0.816497,0.025860038,0.13419265],"study_design_scores_gemma":[0.000020532163,0.00017638825,0.0044815806,0.0016625695,0.000043262502,0.0005466335,0.0014496479,0.036292855,0.0036476362,0.43507,0.5165219,0.00008697775],"about_ca_topic_score_codex":0.003746173,"about_ca_topic_score_gemma":0.0068119112,"teacher_disagreement_score":0.0062944936,"about_ca_system_score_codex":0.002049567,"about_ca_system_score_gemma":0.0027855267,"threshold_uncertainty_score":0.021057189},"labels":[],"label_agreement":null},{"id":"W4408858329","doi":"10.1109/access.2025.3554720","title":"Online Fault Tolerant RUL Prediction Strategy for Lithium-Ion Batteries Using Machine Learning","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Lithium (medication); Fault tolerance; Ion; Fault (geology); Machine learning; Artificial intelligence; Reliability engineering; Distributed computing; Engineering; Chemistry; Psychology","score_opus":0.052002757443667905,"score_gpt":0.353012418392857,"score_spread":0.30100966094918913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408858329","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26505193,0.0014021121,0.72573084,0.00057785935,0.00013343203,0.00007984012,0.00037534526,0.002699279,0.0039493395],"genre_scores_gemma":[0.9880194,0.00012969322,0.010734666,0.000055208784,0.000019043886,0.000032673048,0.00019093633,0.000015465319,0.00080275495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998486,0.000016866521,0.000013655552,0.000043131295,0.000046605768,0.00003100802],"domain_scores_gemma":[0.9995598,0.00016418348,0.000066997905,0.000028194007,0.00015216047,0.00002865051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041035435,0.00080328295,0.00067263516,0.00047132865,0.0003161058,0.00057422515,0.00086618314,0.00047332974,0.00085314736],"category_scores_gemma":[0.001356279,0.00020980428,0.00035267035,0.00028313734,0.00024054377,0.00067394355,0.00046596111,0.00071275263,0.00019463358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014581226,0.00008093191,0.0033250346,0.000045434936,0.000026596912,0.00012110414,0.000035305282,0.9123969,0.0022833066,0.00057168654,0.0012721969,0.07969563],"study_design_scores_gemma":[0.0000018789557,0.000011535614,0.00016716897,0.0000015700191,0.000002432461,0.00000512472,0.0000023904092,0.99915075,0.0003607638,0.00024511255,0.000049422404,0.0000017955421],"about_ca_topic_score_codex":0.013642969,"about_ca_topic_score_gemma":0.012425236,"teacher_disagreement_score":0.013642969,"about_ca_system_score_codex":0.00074433995,"about_ca_system_score_gemma":0.0009276713,"threshold_uncertainty_score":0.027127087},"labels":[],"label_agreement":null},{"id":"W4408880116","doi":"10.2139/ssrn.5195487","title":"Extending the Lifecycle: A Comprehensive Review of Advanced Strategies for Estimating and Modeling Soh and Sop In Second-Life Batteries for Stationary Applications","year":2025,"lang":"en","type":"review","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Systems engineering; Engineering","score_opus":0.03600703438444824,"score_gpt":0.3682249223563613,"score_spread":0.33221788797191304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408880116","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00044040094,0.9863419,0.011841746,0.00022341529,0.00012987888,0.000015876794,0.00013249989,0.000045245954,0.000828992],"genre_scores_gemma":[0.005134847,0.98592085,0.008002571,0.00011750234,0.00019365195,0.000025842455,0.00017006109,0.000022964816,0.00041166643],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993575,0.00012167125,0.00007647533,0.00016161197,0.0002559128,0.000026850385],"domain_scores_gemma":[0.9967654,0.0020594832,0.00030073134,0.00014116128,0.0006897767,0.000043470263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027527853,0.0023180654,0.0031115543,0.003744017,0.00034183948,0.0019237514,0.0029976575,0.0015725086,0.0020360122],"category_scores_gemma":[0.004615424,0.0010303226,0.0017297503,0.0053955032,0.0006400796,0.0040930235,0.0011003772,0.0013227755,0.0009741218],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063983374,0.000058610334,0.0009365784,0.021280672,0.0003291869,0.000050142065,0.000059323665,0.017178515,0.0012816216,0.010796582,0.007799975,0.94016486],"study_design_scores_gemma":[0.00004653541,0.0005224316,0.0058300947,0.018240802,0.0020930571,0.00067764014,0.00027795768,0.039851222,0.0074539497,0.0391803,0.88546777,0.00035833166],"about_ca_topic_score_codex":0.008649115,"about_ca_topic_score_gemma":0.011354823,"teacher_disagreement_score":0.008649115,"about_ca_system_score_codex":0.0012140573,"about_ca_system_score_gemma":0.0022566873,"threshold_uncertainty_score":0.01719755},"labels":[],"label_agreement":null},{"id":"W4408892859","doi":"10.1016/j.geits.2025.100298","title":"Challenges and prospects in real-world battery status prediction within Industry 4.0","year":2025,"lang":"en","type":"article","venue":"Green Energy and Intelligent Transportation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Battery (electricity); Manufacturing engineering; Engineering; Physics","score_opus":0.02620992769436758,"score_gpt":0.2651424137267419,"score_spread":0.23893248603237432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408892859","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037286744,0.60401493,0.22797322,0.08056404,0.0039679124,0.0003099658,0.003391787,0.0023679088,0.0401234],"genre_scores_gemma":[0.37269136,0.45431414,0.14952922,0.010041299,0.0023897146,0.00041777862,0.005026279,0.00042117859,0.0051690345],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99799806,0.0005140019,0.00020717923,0.00041243315,0.00072932616,0.00013911743],"domain_scores_gemma":[0.99085355,0.00543193,0.00044725448,0.0004456028,0.0025722003,0.00024958368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072640157,0.0010243064,0.0015472097,0.0018125847,0.0006359372,0.0048082736,0.0028838413,0.0025656412,0.002317458],"category_scores_gemma":[0.010440918,0.00057424407,0.0013316498,0.0032068016,0.0013684911,0.009636023,0.0022650212,0.0030676487,0.0014639721],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002048299,0.00020138142,0.020614399,0.010373714,0.0002750474,0.00077737804,0.0011289737,0.076653965,0.0051301476,0.10422949,0.051670775,0.72874],"study_design_scores_gemma":[0.000036926038,0.00030734818,0.009288179,0.006905242,0.00029040148,0.0010379197,0.0034330408,0.18043756,0.0074567012,0.20328915,0.5871424,0.00037517108],"about_ca_topic_score_codex":0.005968408,"about_ca_topic_score_gemma":0.0062423977,"teacher_disagreement_score":0.0072640157,"about_ca_system_score_codex":0.001499019,"about_ca_system_score_gemma":0.003039706,"threshold_uncertainty_score":0.038416266},"labels":[],"label_agreement":null},{"id":"W4408894517","doi":"10.3390/batteries11040127","title":"A Comprehensive Review on Lithium-Ion Battery Lifetime Prediction and Aging Mechanism Analysis","year":2025,"lang":"en","type":"review","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":125,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Institut National de la Recherche Scientifique; University of Waterloo","funders":"Helmholtz-Gemeinschaft","keywords":"Mechanism (biology); Battery (electricity); Lithium (medication); Ion; Lithium-ion battery; Computer science; Accelerated aging; Materials science; Reliability engineering; Psychology; Chemistry; Thermodynamics; Composite material; Physics; Engineering; Psychiatry","score_opus":0.02845363233011249,"score_gpt":0.3121272214636603,"score_spread":0.2836735891335478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408894517","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004219335,0.99449724,0.0016433336,0.0002981055,0.00031371333,0.00001800931,0.000169427,0.000039700084,0.0025985572],"genre_scores_gemma":[0.00235107,0.9947125,0.001227898,0.00013900433,0.00021436336,0.000018684528,0.00021454724,0.000007231335,0.0011146732],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99965894,0.000050856142,0.000060428247,0.00007142079,0.00013891944,0.000019404068],"domain_scores_gemma":[0.9992793,0.00038822807,0.00008233528,0.000024114432,0.00020537009,0.000020687552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071417505,0.0011953384,0.0013165559,0.0025651837,0.00027776838,0.0010947051,0.000969618,0.0009726731,0.0058917752],"category_scores_gemma":[0.0015179052,0.00039240016,0.001073133,0.0033328466,0.00023760357,0.0017151845,0.000503155,0.00085210544,0.002139413],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006909368,0.00008677304,0.00055173057,0.05257752,0.00023509767,0.00018031083,0.00008754907,0.0030363987,0.002657293,0.007289431,0.038450193,0.89477855],"study_design_scores_gemma":[0.000009378934,0.00014974242,0.0012304826,0.0078076436,0.00046646385,0.0005864157,0.000065563276,0.0011779777,0.0014998019,0.003136003,0.98381984,0.00005063724],"about_ca_topic_score_codex":0.002075738,"about_ca_topic_score_gemma":0.0024435078,"teacher_disagreement_score":0.0058917752,"about_ca_system_score_codex":0.00055475405,"about_ca_system_score_gemma":0.0017615687,"threshold_uncertainty_score":0.019709945},"labels":[],"label_agreement":null},{"id":"W4408951588","doi":"10.1109/jestie.2025.3555553","title":"Real-Time State of Power Estimation of a Lithium-Ion Battery Using Robust OCV and Internal Resistance Estimates","year":2025,"lang":"en","type":"article","venue":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Internal resistance; Battery (electricity); Lithium (medication); Estimation; Lithium-ion battery; Power (physics); State (computer science); Resistance (ecology); Automotive engineering; Computer science; Control theory (sociology); Environmental science; Engineering; Medicine; Algorithm; Thermodynamics; Physics; Artificial intelligence; Biology","score_opus":0.01857795044944992,"score_gpt":0.28041383644418716,"score_spread":0.2618358859947372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408951588","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1519756,0.00040812095,0.8434436,0.00015873356,0.000046801826,0.000045383997,0.00015401692,0.0014535856,0.0023142132],"genre_scores_gemma":[0.9680283,0.00020215941,0.030596329,0.00003220048,0.000026054146,0.0000415418,0.00017220157,0.000058154706,0.00084295735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976057,0.000039582617,0.000016695121,0.00008068773,0.00008417919,0.0000183584],"domain_scores_gemma":[0.9996649,0.0001263032,0.000092374285,0.000034334975,0.000073558265,0.0000085901565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025084266,0.0007823928,0.00057765364,0.00047172263,0.00018373184,0.00093233347,0.00045304318,0.00044277572,0.00057933864],"category_scores_gemma":[0.0017287115,0.00027376134,0.00037595452,0.0003653651,0.00024333422,0.0010677308,0.0004581548,0.00045671713,0.0002994316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042882102,0.00010670586,0.0068917125,0.00033213967,0.00011191725,0.00027810308,0.00037317723,0.61023057,0.06403184,0.003349353,0.0014455833,0.31242007],"study_design_scores_gemma":[0.000008262451,0.000048953378,0.0016470143,0.000009549475,0.000013955624,0.000046267,0.000021819476,0.9901766,0.006669015,0.00084690726,0.00049480307,0.0000167282],"about_ca_topic_score_codex":0.0017927155,"about_ca_topic_score_gemma":0.0016144357,"teacher_disagreement_score":0.0017927155,"about_ca_system_score_codex":0.00026374854,"about_ca_system_score_gemma":0.00026614222,"threshold_uncertainty_score":0.0035645962},"labels":[],"label_agreement":null},{"id":"W4409018544","doi":"10.4271/2025-01-8372","title":"Study of High-Power and High-Energy Lithium-ion Batteries: From Parameter Analysis to Physical Modeling and Experimental Validation","year":2025,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Lithium (medication); Ion; Energy (signal processing); Power (physics); Computer science; Nuclear engineering; Materials science; Reliability engineering; Engineering; Physics; Thermodynamics; Psychology","score_opus":0.013064862596328062,"score_gpt":0.2773442162210761,"score_spread":0.264279353624748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409018544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85103834,0.00224191,0.1344492,0.00044128145,0.00007113267,0.00024196561,0.0017887767,0.0010456968,0.008681819],"genre_scores_gemma":[0.98660743,0.00089198526,0.0107227955,0.000031791,0.000007320227,0.0002034047,0.00057925633,0.00005321078,0.0009028664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995378,0.0000680755,0.000035688656,0.000065209344,0.0002639002,0.000029273293],"domain_scores_gemma":[0.9991216,0.00042802797,0.000064419044,0.00015201794,0.00022317418,0.0000106905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012117247,0.000892369,0.00067496044,0.0005709338,0.0004123926,0.0011726901,0.0012367335,0.0010480434,0.0012191173],"category_scores_gemma":[0.0023221658,0.00044369427,0.0009000122,0.00083514396,0.00044061866,0.0017064738,0.00042589474,0.0007842298,0.00039802009],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021490965,0.00022900544,0.009712208,0.00073457643,0.0000771168,0.00028928192,0.00019716177,0.8865854,0.06419806,0.002817659,0.0007791834,0.034165412],"study_design_scores_gemma":[0.000026330234,0.00032799973,0.0031440086,0.000041031515,0.000035132885,0.00010255058,0.00010726483,0.89164484,0.100469105,0.0009636652,0.003094762,0.000043209777],"about_ca_topic_score_codex":0.003278969,"about_ca_topic_score_gemma":0.0023434411,"teacher_disagreement_score":0.003278969,"about_ca_system_score_codex":0.0010130473,"about_ca_system_score_gemma":0.0007172283,"threshold_uncertainty_score":0.007350147},"labels":[],"label_agreement":null},{"id":"W4409019510","doi":"10.1109/iccece61355.2025.10940558","title":"Lowering the Peak to Average Power Ratio by using the PTS method for high-speed application systems","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Power (physics); Computer science; Automotive engineering; Engineering; Physics; Thermodynamics","score_opus":0.015873793815637846,"score_gpt":0.3198334264513887,"score_spread":0.3039596326357508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409019510","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020311786,0.0003356215,0.9734691,0.0000858804,0.00004997587,0.000022377337,0.00002358101,0.00034888435,0.005352908],"genre_scores_gemma":[0.6500571,0.00093195384,0.34145826,0.00007207975,0.000075057505,0.00006619552,0.00008505844,0.000091491056,0.007162786],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998294,0.000042581538,0.0000079554875,0.00001972272,0.00008762331,0.000012671049],"domain_scores_gemma":[0.9998142,0.000081228354,0.0000361711,0.000023095963,0.000038905833,0.000006563506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016967443,0.00048358395,0.00021681057,0.00026040035,0.00018959264,0.00044008283,0.0003036599,0.00027118615,0.002792711],"category_scores_gemma":[0.00062941597,0.00010655032,0.00035948263,0.00042797622,0.00025072214,0.0005155079,0.00022675973,0.00037541872,0.00067718135],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022552614,0.000072239185,0.0010569901,0.00032384836,0.00007378624,0.00024983377,0.00017728106,0.36816612,0.18337351,0.030616751,0.0022511026,0.41341305],"study_design_scores_gemma":[0.000018120842,0.0003731094,0.0005958792,0.00002092318,0.000028159919,0.0004150737,0.000050361356,0.91333485,0.069277465,0.0064285304,0.00944272,0.000014813232],"about_ca_topic_score_codex":0.00054375903,"about_ca_topic_score_gemma":0.00081531005,"teacher_disagreement_score":0.002792711,"about_ca_system_score_codex":0.00022254046,"about_ca_system_score_gemma":0.00043830954,"threshold_uncertainty_score":0.009342551},"labels":[],"label_agreement":null},{"id":"W4409183281","doi":"10.1002/est2.70169","title":"Experimental Evaluation of Direct‐Burial Subterranean Battery Energy Storage System","year":2025,"lang":"en","type":"article","venue":"Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Yukon University; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Emera; Dalhousie University; Canada Foundation for Innovation; Nova Scotia Research Innovation Trust","keywords":"Battery (electricity); Energy storage; Environmental science; Physics","score_opus":0.02206984095048264,"score_gpt":0.27697501678804803,"score_spread":0.2549051758375654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409183281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923139,0.00029706268,0.003413075,0.00008421272,0.0001266572,0.00010255721,0.00072104804,0.00019438364,0.0027471357],"genre_scores_gemma":[0.9964541,0.00011542644,0.00093641266,0.000031964635,0.0000055688774,0.000048663052,0.00016893624,0.0000116708925,0.0022272954],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997435,0.000021678963,0.000029619396,0.00005632321,0.000103856175,0.00004504323],"domain_scores_gemma":[0.999577,0.00006439722,0.000029602574,0.00004572644,0.00025066335,0.00003261172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026118086,0.0003391034,0.00036505246,0.00037977862,0.0003987816,0.0004356158,0.00079687306,0.0005156521,0.0052519063],"category_scores_gemma":[0.0006206169,0.00012110031,0.00027105745,0.0002931282,0.0002304722,0.00070716237,0.00030598743,0.000330571,0.0008053462],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026996064,0.00074046326,0.0051183817,0.0011383406,0.000077393786,0.000660535,0.00043161892,0.0069679962,0.9199739,0.000714617,0.0026540044,0.05882311],"study_design_scores_gemma":[0.00012902253,0.006520834,0.011966943,0.00007618801,0.00007781006,0.00032767386,0.00065213593,0.03221661,0.93874055,0.00027894077,0.008963005,0.000050361523],"about_ca_topic_score_codex":0.0012409851,"about_ca_topic_score_gemma":0.001949545,"teacher_disagreement_score":0.0052519063,"about_ca_system_score_codex":0.0002762959,"about_ca_system_score_gemma":0.00023945159,"threshold_uncertainty_score":0.017569423},"labels":[],"label_agreement":null},{"id":"W4409246527","doi":"10.3390/en18081876","title":"Online Identification of Differential Order in Supercapacitor Fractional-Order Models: Advancing Practical Implementation","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University","keywords":"Order (exchange); Identification (biology); Supercapacitor; Computer science; Differential (mechanical device); Engineering; Economics; Chemistry; Electrochemistry; Biology; Aerospace engineering","score_opus":0.02079065462806942,"score_gpt":0.34687452042730105,"score_spread":0.32608386579923165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409246527","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006832198,0.00025002105,0.9912305,0.00008480965,0.000019782263,0.000023851178,0.000023846402,0.0002770562,0.0012579841],"genre_scores_gemma":[0.72378397,0.0010519986,0.27021718,0.0001323182,0.000063872845,0.0001926901,0.00016919157,0.0001454726,0.004243296],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997229,0.000056983725,0.000021886706,0.00006122015,0.000113042544,0.000023860768],"domain_scores_gemma":[0.9991936,0.00046064067,0.000106112726,0.00007705603,0.0001411434,0.000021477295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000601409,0.0009454609,0.00074411364,0.00045823032,0.00041956909,0.0010126377,0.00071372424,0.00087706913,0.0017853226],"category_scores_gemma":[0.0025405588,0.00045517398,0.0006883066,0.00034296486,0.0005191428,0.0009352628,0.00085925224,0.0014055944,0.0005145687],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010038517,0.00007378083,0.0014270775,0.00039119247,0.000042905453,0.00020017412,0.00029129485,0.8103008,0.01777114,0.017358491,0.00086430507,0.1511784],"study_design_scores_gemma":[0.0000028754137,0.000014537027,0.00007280626,0.000010329848,0.0000040622676,0.00002095361,0.000010537403,0.99576855,0.0013633227,0.0020249486,0.0007006229,0.000006359763],"about_ca_topic_score_codex":0.0059159687,"about_ca_topic_score_gemma":0.005176446,"teacher_disagreement_score":0.0059159687,"about_ca_system_score_codex":0.0005283716,"about_ca_system_score_gemma":0.0008800484,"threshold_uncertainty_score":0.011763096},"labels":[],"label_agreement":null},{"id":"W4409327171","doi":"10.1109/tte.2025.3559633","title":"Core Temperature Estimation of Lithium-Ion Batteries Using Long Short-Term Memory (LSTM) Network and Kolmogorov–Arnold Network (KAN)","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Term (time); Core (optical fiber); Lithium (medication); Computer science; Long short term memory; Artificial intelligence; Physics; Psychology; Telecommunications; Artificial neural network; Psychiatry; Recurrent neural network; Astronomy","score_opus":0.021225714624659407,"score_gpt":0.2771637083882595,"score_spread":0.2559379937636001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409327171","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23339917,0.000875481,0.7578681,0.00029038975,0.00014595475,0.000047943904,0.00014633665,0.0019056652,0.0053208377],"genre_scores_gemma":[0.9672157,0.00017950541,0.030080413,0.000064693966,0.00001741992,0.000041305775,0.00012732252,0.000030193447,0.002243362],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999125,0.0000129808295,0.000007211978,0.000030350939,0.000024670691,0.000012192931],"domain_scores_gemma":[0.99984,0.00005359449,0.00002182813,0.00000978022,0.00006772413,0.000007102564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020077107,0.0005186457,0.0002287325,0.00021988209,0.00018077677,0.00034782547,0.00056946074,0.00034846173,0.0007313601],"category_scores_gemma":[0.0006635149,0.00018735815,0.00027702548,0.00020067727,0.00018937998,0.0006826151,0.00035448314,0.00049623835,0.00019932675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003033308,0.00012853807,0.0047089253,0.00018506429,0.000097158685,0.00013590875,0.00014756694,0.64173293,0.035040732,0.0019667854,0.0018737573,0.3136793],"study_design_scores_gemma":[0.0000018901314,0.00001939837,0.0003235872,0.000003330963,0.000005500683,0.000009872857,0.0000062757313,0.9948894,0.004131448,0.0004408977,0.00016465515,0.000003817304],"about_ca_topic_score_codex":0.004170591,"about_ca_topic_score_gemma":0.0066373204,"teacher_disagreement_score":0.004170591,"about_ca_system_score_codex":0.00043278578,"about_ca_system_score_gemma":0.000393941,"threshold_uncertainty_score":0.008292615},"labels":[],"label_agreement":null},{"id":"W4409381882","doi":"10.11159/jffhmt.2025.013","title":"Conversion of Waste Energy from CI Engines to Electrical Power with TEG","year":2025,"lang":"en","type":"article","venue":"Journal of Fluid Flow Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Environmental science; Waste management; Power (physics); Waste-to-energy; Electric potential energy; Electric power; Energy transformation; Automotive engineering; Engineering; Municipal solid waste; Physics; Thermodynamics","score_opus":0.004567399189304238,"score_gpt":0.20731348593339607,"score_spread":0.20274608674409184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409381882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8982707,0.0013185218,0.0861297,0.000099420664,0.000076728735,0.00017173518,0.00038068427,0.00056346325,0.012989005],"genre_scores_gemma":[0.97745323,0.00063212926,0.01789091,0.000034396355,0.000008986219,0.000111988404,0.00028960643,0.00006505816,0.0035137355],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99969006,0.000031555493,0.000023590419,0.000029412839,0.00017124522,0.00005418994],"domain_scores_gemma":[0.9998629,0.000029923536,0.00001630473,0.000031324205,0.00005190466,0.000007675808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039592318,0.00031986556,0.00045434298,0.0011614636,0.0002475041,0.0008841559,0.0008014357,0.00024107368,0.0013304714],"category_scores_gemma":[0.0007309536,0.00017490554,0.00035597204,0.002143075,0.00026718766,0.00077684474,0.00045327967,0.00047324065,0.00039167888],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079435227,0.0002443926,0.003629925,0.0009020843,0.00003214403,0.00059599715,0.0002581443,0.008759717,0.86594784,0.0041681654,0.00068378705,0.11398353],"study_design_scores_gemma":[0.000009552769,0.00017978573,0.0012722125,0.000013914503,0.0000130650105,0.0001694702,0.000042731695,0.006651004,0.98863834,0.00027817252,0.0027250694,0.0000066178873],"about_ca_topic_score_codex":0.0003905899,"about_ca_topic_score_gemma":0.00049924373,"teacher_disagreement_score":0.0013304714,"about_ca_system_score_codex":0.00038990797,"about_ca_system_score_gemma":0.0002831835,"threshold_uncertainty_score":0.0044508576},"labels":[],"label_agreement":null},{"id":"W4409397825","doi":"10.1186/s13065-025-01445-x","title":"Accidents involving lithium-ion batteries in non-application stages: incident characteristics, environmental impacts, and response strategies","year":2025,"lang":"en","type":"review","venue":"BMC Chemistry","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Lithium (medication); Environmental science; Psychology","score_opus":0.01493294205318595,"score_gpt":0.2985709261270348,"score_spread":0.2836379840738488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409397825","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002811804,0.9918064,0.0006181737,0.0005889621,0.00019531955,0.000043766777,0.00011972506,0.00001659078,0.0037993067],"genre_scores_gemma":[0.010269305,0.9874916,0.00054777804,0.0002145598,0.000080839265,0.000025095025,0.00011929655,0.000003489012,0.0012481293],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99946827,0.000124773,0.00009377635,0.00006632961,0.00019806103,0.000048846112],"domain_scores_gemma":[0.9991885,0.00039064905,0.00014644401,0.00001616456,0.00023783703,0.0000204391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010801099,0.0006872437,0.00074837275,0.0023664278,0.00036110074,0.0011487752,0.00075924315,0.0010061872,0.0026150604],"category_scores_gemma":[0.0016849283,0.0002050587,0.0008353135,0.0017087782,0.00031236795,0.0010999815,0.0005516415,0.0005560401,0.00079379417],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014075867,0.00012278126,0.0025636246,0.07221131,0.0003480888,0.00042181613,0.0005443698,0.0011474016,0.0031047682,0.00585548,0.012302517,0.90123713],"study_design_scores_gemma":[0.000030821644,0.0007458632,0.011419839,0.02692739,0.0013560656,0.0038349945,0.0019595025,0.00042019953,0.006741478,0.0044444622,0.94202507,0.00009437334],"about_ca_topic_score_codex":0.0029669406,"about_ca_topic_score_gemma":0.0065492135,"teacher_disagreement_score":0.0029669406,"about_ca_system_score_codex":0.00079165294,"about_ca_system_score_gemma":0.0020448277,"threshold_uncertainty_score":0.008748233},"labels":[],"label_agreement":null},{"id":"W4409419779","doi":"10.4271/14-14-02-0011","title":"Adapting Basic On-Road Data to the Heavy Heavy-Duty Diesel Truck Schedule for Guiding the Electrification of Long-Haul Truck Transport","year":2025,"lang":"en","type":"article","venue":"SAE International Journal of Electrified Vehicles","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; National Research Council Canada","funders":"","keywords":"Truck; Electrification; Heavy duty; Schedule; Diesel fuel; Transport engineering; Automotive engineering; Environmental science; Engineering; Computer science; Electricity; Electrical engineering","score_opus":0.06572882958544113,"score_gpt":0.3377782022019596,"score_spread":0.27204937261651846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409419779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89874345,0.000051725194,0.09037332,0.00014739239,0.000037169026,0.00021098433,0.0033826074,0.00043912485,0.006614268],"genre_scores_gemma":[0.98014534,0.000048764523,0.016383845,0.000017402373,0.0000042628585,0.00006316968,0.0022488602,0.00003553163,0.0010528316],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985933,0.000036175392,0.00000844356,0.00003800234,0.000037085894,0.00002093897],"domain_scores_gemma":[0.9996954,0.000086882115,0.000031709027,0.000050701237,0.00011515906,0.000020186744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032466513,0.0003959168,0.0002832999,0.0004210863,0.0002897017,0.00055417,0.0008270642,0.00051519176,0.00080886635],"category_scores_gemma":[0.0011915228,0.00026388664,0.00042614917,0.0005282014,0.00020180437,0.00068538357,0.00030869016,0.0004331124,0.0002921255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027635164,0.00008430464,0.012892,0.000026003527,0.000011141778,0.000047667792,0.000052025534,0.97313005,0.0012857473,0.0004979859,0.0004054988,0.011539954],"study_design_scores_gemma":[0.0000050923877,0.000017666647,0.0047333916,0.0000049040823,0.0000035591233,0.00000605623,0.000058052738,0.9938387,0.000485056,0.00022150436,0.00061896,0.000007014217],"about_ca_topic_score_codex":0.13310897,"about_ca_topic_score_gemma":0.19341949,"teacher_disagreement_score":0.13310897,"about_ca_system_score_codex":0.0011228754,"about_ca_system_score_gemma":0.0017135123,"threshold_uncertainty_score":0.2646684},"labels":[],"label_agreement":null},{"id":"W4409454115","doi":"10.1016/j.est.2025.116615","title":"Synergy of green hydrogen and Li-ion battery with electrification in hourly power supply and demand projection to 2050: A case study","year":2025,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; Balsillie School of International Affairs; University of Waterloo","funders":"","keywords":"Electrification; Battery (electricity); Power (physics); Environmental science; Economics; Automotive engineering; Natural resource economics; Electrical engineering; Engineering; Electricity; Physics","score_opus":0.006454991580554576,"score_gpt":0.244286322610547,"score_spread":0.23783133102999243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409454115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9776548,0.00034787267,0.0051514995,0.000383844,0.000025060235,0.000079297715,0.0014578276,0.00007177882,0.014828023],"genre_scores_gemma":[0.99549234,0.00020694463,0.002311119,0.000013114536,0.000003256649,0.000021169433,0.00034850146,0.000007758133,0.0015957339],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995468,0.00018639027,0.00001796827,0.00005225139,0.000087414286,0.00010901295],"domain_scores_gemma":[0.99955326,0.00022832782,0.000045251723,0.000035040797,0.00008046968,0.000057607343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008173866,0.00054905016,0.00033877848,0.00090769975,0.0004378888,0.0011720647,0.0007655563,0.0010334143,0.0019184063],"category_scores_gemma":[0.0007710364,0.00030856978,0.0011373791,0.0015908692,0.00045000896,0.0009740531,0.0007564476,0.0005608107,0.00023646318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006540122,0.00044648186,0.054903418,0.00027260662,0.00021918409,0.008631126,0.00038155727,0.8951919,0.0029912423,0.010563793,0.0028095564,0.02293512],"study_design_scores_gemma":[0.0001147407,0.0008148871,0.048641134,0.00009813748,0.0002544527,0.0012357483,0.00482589,0.9186693,0.0094039785,0.0054557966,0.010329264,0.00015671742],"about_ca_topic_score_codex":0.02927478,"about_ca_topic_score_gemma":0.029731,"teacher_disagreement_score":0.02927478,"about_ca_system_score_codex":0.0017834745,"about_ca_system_score_gemma":0.0008303967,"threshold_uncertainty_score":0.058208764},"labels":[],"label_agreement":null},{"id":"W4409479792","doi":"10.3390/en18082028","title":"Low-Temperature Performance and Durability of Electric Vehicle Battery Cells Under Isothermal Conditions","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada; National Research Council Canada","funders":"Environment and Climate Change Canada; Transport Canada","keywords":"Durability; Isothermal process; Battery (electricity); Automotive engineering; Electric vehicle; Materials science; Environmental science; Nuclear engineering; Composite material; Engineering; Thermodynamics; Physics","score_opus":0.004435007866705737,"score_gpt":0.2229940695910723,"score_spread":0.21855906172436657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409479792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963754,0.00077706156,0.00059514353,0.000044641725,0.000016358872,0.000009799165,0.00082225265,0.000053646963,0.0013057577],"genre_scores_gemma":[0.9974956,0.00037364577,0.00030541178,0.000019130535,0.000005488715,0.000015350823,0.0005634747,0.000022945478,0.0011990041],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99966323,0.00001786621,0.000030236723,0.000087187334,0.00014987211,0.00005153471],"domain_scores_gemma":[0.99959,0.00010218014,0.00004145862,0.000051625277,0.00019482098,0.000019974585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003426717,0.00025409608,0.00038040167,0.00042901337,0.00040935646,0.00063065835,0.0004741846,0.00039157024,0.0022243264],"category_scores_gemma":[0.0008621904,0.00014545757,0.000275753,0.0005843689,0.0003908195,0.0006864981,0.0003537698,0.0004614556,0.00060727494],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053734845,0.000118743985,0.016711798,0.00042703527,0.000058961585,0.00038599863,0.0008813565,0.003952584,0.9442897,0.00036915147,0.0011253682,0.031141896],"study_design_scores_gemma":[0.000009381113,0.0006067031,0.026641807,0.000030402749,0.000033743723,0.00032102165,0.0005472125,0.004086135,0.9638342,0.00013550319,0.0037226542,0.000031109576],"about_ca_topic_score_codex":0.0020425431,"about_ca_topic_score_gemma":0.0035107343,"teacher_disagreement_score":0.0022243264,"about_ca_system_score_codex":0.00039103994,"about_ca_system_score_gemma":0.00017830478,"threshold_uncertainty_score":0.0074411035},"labels":[],"label_agreement":null},{"id":"W4409487892","doi":"10.1016/j.apenergy.2025.125923","title":"Battery state-of-health estimation using CNNs with transfer learning and multi-modal fusion of partial voltage profiles and histogram data","year":2025,"lang":"en","type":"article","venue":"Applied Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Modal; Histogram; Transfer of learning; Computer science; Artificial intelligence; Fusion; State (computer science); Voltage; Pattern recognition (psychology); State of health; Sensor fusion; Engineering; Chemistry; Algorithm; Electrical engineering; Image (mathematics); Physics","score_opus":0.024563558418566705,"score_gpt":0.28713593180066765,"score_spread":0.26257237338210093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409487892","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27456105,0.0009387217,0.71583605,0.00024167965,0.00021039527,0.00007568626,0.0009694635,0.0021285454,0.005038423],"genre_scores_gemma":[0.9695218,0.00025055648,0.02733577,0.00006705619,0.00004349856,0.000030547002,0.0005422989,0.000028868579,0.002179628],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992704,0.000005649309,0.0000038299795,0.000023811397,0.000023097315,0.000016517282],"domain_scores_gemma":[0.9998795,0.000021754091,0.000019755636,0.000018621693,0.000052731357,0.000007690861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019360542,0.00044595875,0.00039417445,0.00042753093,0.00012691699,0.00035671226,0.00045140507,0.0003384965,0.0010877486],"category_scores_gemma":[0.00061126024,0.00019825526,0.00034000524,0.0005376478,0.00012165309,0.00052997604,0.00037555225,0.0003883694,0.0003884042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004587618,0.00026015574,0.015973954,0.00017128827,0.00021102138,0.00020584448,0.00008120352,0.21216892,0.052284457,0.0013266101,0.0039961254,0.71286154],"study_design_scores_gemma":[0.000003665803,0.000027181377,0.00482993,0.0000064935816,0.000018637958,0.000055683173,0.000011541667,0.9866377,0.007400911,0.00063504814,0.00036528142,0.000007798647],"about_ca_topic_score_codex":0.006486318,"about_ca_topic_score_gemma":0.0111972485,"teacher_disagreement_score":0.006486318,"about_ca_system_score_codex":0.000320091,"about_ca_system_score_gemma":0.0003132495,"threshold_uncertainty_score":0.012897134},"labels":[],"label_agreement":null},{"id":"W4409570434","doi":"10.21203/rs.3.rs-6001502/v1","title":"Systematic refinement of experimental practices to improve repeatability in flow battery cycling","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University; Queen's University Belfast; Royal Society; Shell; Shell Global Solutions International; Invest Northern Ireland; Alfred P. Sloan Foundation; National Science Foundation","keywords":"Cycling; Repeatability; Battery (electricity); Computer science; Flow (mathematics); Environmental science; Reliability engineering; Simulation; Automotive engineering; Engineering; Mechanics; Statistics; Mathematics; Geography; Physics; Thermodynamics","score_opus":0.06269111320236509,"score_gpt":0.4285342063189121,"score_spread":0.365843093116547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409570434","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"reproducibility","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"reproducibility","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0715871,0.0007193749,0.91189164,0.0007859437,0.0005239102,0.0035310443,0.0009954451,0.006811175,0.0031543383],"genre_scores_gemma":[0.23084377,0.0005523455,0.7595502,0.0004905598,0.00011472254,0.0032386354,0.0013879086,0.0019936457,0.0018282398],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9577509,0.015396624,0.0055461824,0.005613154,0.013973518,0.001719637],"domain_scores_gemma":[0.8091397,0.04965177,0.0065010176,0.07751242,0.055734646,0.0014604416],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06501635,0.0021677641,0.002321502,0.0034534317,0.00352375,0.0042381766,0.006629638,0.0024365517,0.004468189],"category_scores_gemma":[0.15137179,0.0018044105,0.0016641675,0.0019779557,0.0031084334,0.0054033115,0.004501522,0.004245655,0.0027555919],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010962242,0.0034126542,0.01993648,0.0031697329,0.0004556915,0.00034208052,0.003802149,0.02462762,0.60144377,0.008677245,0.007893401,0.32514298],"study_design_scores_gemma":[0.0002599421,0.0025919268,0.019212207,0.00089435204,0.00037792057,0.00046323607,0.0013396066,0.04691837,0.8732635,0.010345786,0.04391241,0.0004208772],"about_ca_topic_score_codex":0.0056445524,"about_ca_topic_score_gemma":0.010132989,"teacher_disagreement_score":0.9349837,"about_ca_system_score_codex":0.0022148495,"about_ca_system_score_gemma":0.0065482263,"threshold_uncertainty_score":0.34384346},"labels":[],"label_agreement":null},{"id":"W4409572923","doi":"10.1016/j.ijheatmasstransfer.2025.127107","title":"Electrochemical-thermal modeling of phase change material battery thermal management systems: investigating mesh types for accurate simulations","year":2025,"lang":"en","type":"article","venue":"International Journal of Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"International Institute for Carbon-Neutral Energy Research, Kyushu University; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Materials science; Phase change; Electrochemistry; Thermal; Battery (electricity); Phase-change material; Thermal management of electronic devices and systems; Phase (matter); Thermodynamics; Mechanical engineering; Electrode; Power (physics); Physical chemistry","score_opus":0.03305465763288601,"score_gpt":0.3141161294265164,"score_spread":0.2810614717936304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409572923","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36315754,0.0018885484,0.6073962,0.0005326464,0.00022304496,0.0002168208,0.0006072272,0.0005250094,0.025452953],"genre_scores_gemma":[0.9122566,0.00085835566,0.08281403,0.000050809642,0.00002030912,0.00020564074,0.00036803941,0.00008572259,0.0033405747],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999856,0.00003145151,0.000010773713,0.000015212364,0.00006898068,0.000017539958],"domain_scores_gemma":[0.99975437,0.0001053379,0.000026132078,0.0000366309,0.00006461519,0.000012969003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030829545,0.000307714,0.00036730038,0.000330658,0.00027221377,0.00072844804,0.0007475074,0.000631765,0.0018010408],"category_scores_gemma":[0.0009367347,0.0001726802,0.00051457953,0.00043061413,0.00025763427,0.0006305493,0.00033308245,0.00036267203,0.00027176645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058980782,0.000057318386,0.0018476179,0.00020821791,0.000016593005,0.000095070995,0.00006985656,0.9544229,0.012231667,0.010746824,0.000589532,0.01965549],"study_design_scores_gemma":[0.000007968308,0.00003203056,0.00027848134,0.000017694369,0.000006151351,0.000024728386,0.000022444234,0.99375737,0.0031497122,0.0011043069,0.0015933372,0.0000057676148],"about_ca_topic_score_codex":0.0024942495,"about_ca_topic_score_gemma":0.0017085115,"teacher_disagreement_score":0.0024942495,"about_ca_system_score_codex":0.00043484266,"about_ca_system_score_gemma":0.00043703662,"threshold_uncertainty_score":0.006025076},"labels":[],"label_agreement":null},{"id":"W4409574065","doi":"10.1016/j.est.2025.116657","title":"Aging diagnosis approach for lithium-ion batteries in electric vehicles combining kinetics and capacity time series similarities","year":2025,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lithium (medication); Series (stratigraphy); Kinetics; Electric vehicle; Ion; Chemistry; Thermodynamics; Physics; Medicine; Biology","score_opus":0.014169135706483354,"score_gpt":0.23472644982190113,"score_spread":0.2205573141154178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409574065","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12280714,0.00089314824,0.87272704,0.00011015333,0.00007427915,0.00010337127,0.00013968257,0.0005582217,0.0025869252],"genre_scores_gemma":[0.9476868,0.0005289503,0.04903965,0.000031882388,0.000072191215,0.00005990726,0.00020718199,0.00004010018,0.0023332129],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99978954,0.000020901076,0.000024143916,0.000058664373,0.000084015206,0.000022691625],"domain_scores_gemma":[0.9995633,0.000121521065,0.00007336192,0.000028978107,0.00019001144,0.00002274919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048727964,0.0007223471,0.00070490496,0.001967281,0.0003722283,0.00062069285,0.0006470229,0.0005775823,0.0007792732],"category_scores_gemma":[0.0011338779,0.000218307,0.0006973167,0.00067640253,0.00023535114,0.0010613186,0.0004340262,0.00044042405,0.0003058842],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040374993,0.0002786543,0.015414353,0.00044088147,0.00017622321,0.0006517011,0.00029240534,0.46386352,0.071837105,0.010972651,0.0014142471,0.43425444],"study_design_scores_gemma":[0.0000032389685,0.000060464106,0.002058268,0.000007292949,0.000029467094,0.00011083379,0.00003397566,0.9902756,0.0048973826,0.001956773,0.0005563708,0.000010288023],"about_ca_topic_score_codex":0.0026943858,"about_ca_topic_score_gemma":0.0019160121,"teacher_disagreement_score":0.0026943858,"about_ca_system_score_codex":0.0003559525,"about_ca_system_score_gemma":0.0005292128,"threshold_uncertainty_score":0.0053573847},"labels":[],"label_agreement":null},{"id":"W4409869426","doi":"10.1038/s44172-025-00409-2","title":"Thermal fault detection of lithium-ion battery packs through an integrated physics and deep neural network based model","year":2025,"lang":"en","type":"article","venue":"Communications Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Artificial neural network; Battery (electricity); Lithium (medication); Fault (geology); Ion; Lithium-ion battery; Computer science; Physics; Engineering physics; Artificial intelligence; Psychology; Geology; Seismology; Thermodynamics; Quantum mechanics","score_opus":0.024940483059757698,"score_gpt":0.2761954118693037,"score_spread":0.251254928809546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409869426","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26392126,0.0005614972,0.728508,0.00047958488,0.00010412439,0.000060736264,0.00017851092,0.002270357,0.0039159046],"genre_scores_gemma":[0.9637841,0.00013661316,0.03259878,0.000095080206,0.000019683712,0.00005073217,0.00018354107,0.000033247816,0.0030981982],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998982,0.000014956654,0.0000062151985,0.000025795283,0.00004034863,0.000014387117],"domain_scores_gemma":[0.9998035,0.000066958535,0.000027357535,0.000017503897,0.00007538049,0.000009350791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002237726,0.0005495397,0.00032552582,0.00033668082,0.0001769215,0.0004040703,0.0006939327,0.00046377737,0.0007542925],"category_scores_gemma":[0.0007118569,0.0003445213,0.00050542044,0.0001956732,0.00022090292,0.0006847298,0.00036584696,0.00060593215,0.00019636286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014309351,0.00010934393,0.0029544933,0.000048960283,0.00007928976,0.000065539476,0.000034780478,0.91550165,0.011927063,0.00070903124,0.00081589114,0.067610815],"study_design_scores_gemma":[0.0000017732364,0.000014728916,0.00026856497,0.0000010877789,0.0000045033075,0.0000048519555,0.0000011734725,0.9984012,0.0010641824,0.00016926715,0.000066440516,0.0000021185167],"about_ca_topic_score_codex":0.008878959,"about_ca_topic_score_gemma":0.010351833,"teacher_disagreement_score":0.008878959,"about_ca_system_score_codex":0.00072223257,"about_ca_system_score_gemma":0.00053704623,"threshold_uncertainty_score":0.017654538},"labels":[],"label_agreement":null},{"id":"W4409915647","doi":"10.1016/j.est.2025.116803","title":"Thermal modeling of a subterranean battery energy storage system for residential and commercial buildings","year":2025,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Becton Dickinson (Canada); Dalhousie University","funders":"Dalhousie University; Ryerson University; Natural Sciences and Engineering Research Council of Canada; Toronto Metropolitan University","keywords":"Architectural engineering; Thermal energy storage; Battery (electricity); Environmental science; Energy storage; Engineering; Civil engineering; Automotive engineering; Ecology; Physics","score_opus":0.017492913308535255,"score_gpt":0.2551715771792336,"score_spread":0.23767866387069836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409915647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6781432,0.0009578589,0.24073598,0.00067742006,0.000104379396,0.00017833988,0.0015592456,0.00075507374,0.076888494],"genre_scores_gemma":[0.9792884,0.00025583964,0.0051969844,0.00004257314,0.00000803428,0.00010150912,0.00019592648,0.00003605068,0.014874544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998946,0.000023423687,0.000005938339,0.000021758176,0.000037698916,0.000016603752],"domain_scores_gemma":[0.9999143,0.000028958966,0.000012130531,0.00000894433,0.000028643071,0.000006980408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001380948,0.0004005282,0.00053030933,0.00035519744,0.0006722948,0.00072408776,0.0009111662,0.0009787868,0.0038793895],"category_scores_gemma":[0.00023876947,0.00029153872,0.00057975313,0.00040401076,0.0004408729,0.0006627258,0.0004420958,0.00034962187,0.0006316361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054589596,0.00002484697,0.0007496266,0.00004761112,0.0000116611,0.00012626339,0.00007116601,0.98510784,0.0078043337,0.0013524939,0.000327002,0.004322536],"study_design_scores_gemma":[0.000004433557,0.0000286777,0.0003709946,0.0000053543613,0.000005856706,0.000025890557,0.00003225929,0.997591,0.0009809139,0.0002869845,0.0006613236,0.000006316192],"about_ca_topic_score_codex":0.014717069,"about_ca_topic_score_gemma":0.013513652,"teacher_disagreement_score":0.014717069,"about_ca_system_score_codex":0.0006992186,"about_ca_system_score_gemma":0.00075859664,"threshold_uncertainty_score":0.02926284},"labels":[],"label_agreement":null},{"id":"W4409975185","doi":"10.1007/978-3-031-88942-4_3","title":"Energy Storage Using Solid Masses","year":2025,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on renewable energy technologies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Environmental science","score_opus":0.015340425081013735,"score_gpt":0.24144994828966196,"score_spread":0.22610952320864822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409975185","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010701706,0.051885955,0.060026035,0.0034771194,0.008094706,0.00007209515,0.00044725876,0.000974374,0.86432064],"genre_scores_gemma":[0.078654744,0.018146263,0.009530057,0.00055330916,0.0010767686,0.000051752613,0.00030687902,0.0001844852,0.8914957],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9999447,0.0000041317057,0.0000021402448,0.000013901077,0.000029734441,0.0000054170378],"domain_scores_gemma":[0.99997866,0.00000581162,0.0000016100594,0.0000060756684,0.000005570516,0.0000022197153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007176891,0.00057959015,0.00042939957,0.000412404,0.00041652707,0.0010401397,0.00042713972,0.00054696266,0.036480974],"category_scores_gemma":[0.00011193612,0.00024848228,0.00031766106,0.0005587222,0.0004643748,0.0019909097,0.0008136267,0.0008661724,0.010699308],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014069684,0.000056061483,0.000074396514,0.0008027218,0.000032202617,0.00018468394,0.00015518288,0.0035594704,0.06935863,0.42650196,0.11528977,0.38384417],"study_design_scores_gemma":[0.000014723196,0.00007143513,0.00019043285,0.00016594824,0.000011970557,0.00025618382,0.000047671092,0.004355339,0.028978646,0.07970375,0.88619,0.00001390593],"about_ca_topic_score_codex":0.0001809268,"about_ca_topic_score_gemma":0.00041816416,"teacher_disagreement_score":0.036480974,"about_ca_system_score_codex":0.00038883192,"about_ca_system_score_gemma":0.00018023238,"threshold_uncertainty_score":0.12204099},"labels":[],"label_agreement":null},{"id":"W4409990988","doi":"10.1109/apec48143.2025.10977520","title":"Critical Role of Individual Cell Temperature Monitoring in Mitigating Thermal Runaway and Reducing Accelerated Degradation in Lithium-Ion Batteries","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermal runaway; Degradation (telecommunications); Lithium (medication); Nuclear engineering; Materials science; Ion; Thermal; Reliability engineering; Chemistry; Electrical engineering; Thermodynamics; Battery (electricity); Power (physics); Engineering; Physics","score_opus":0.014440195257372742,"score_gpt":0.27980108008466315,"score_spread":0.2653608848272904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409990988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9619769,0.0017373847,0.03397481,0.00021536459,0.00008492993,0.00004360655,0.000076103264,0.00045465163,0.0014361537],"genre_scores_gemma":[0.9935935,0.00026542915,0.0056315274,0.000042334927,0.000011067724,0.000016434402,0.000026075826,0.000021334206,0.00039242549],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997826,0.000029006644,0.000014567037,0.0000469459,0.000099303375,0.000027559778],"domain_scores_gemma":[0.99969125,0.00006758895,0.000056261106,0.000036192116,0.00012554921,0.000023176433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027039924,0.00041100936,0.00039703993,0.00019956085,0.00024498542,0.00048809295,0.0004943758,0.00032887855,0.00066917285],"category_scores_gemma":[0.0005940594,0.00014301269,0.00013794923,0.00016348061,0.00028323857,0.00072319916,0.00039425775,0.00031742587,0.00021938201],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004016491,0.00007768407,0.004804881,0.00016865639,0.000018064973,0.00018645448,0.00014904812,0.0032986305,0.9450083,0.0002251942,0.00028251903,0.045378983],"study_design_scores_gemma":[0.000008566507,0.00044892248,0.004449392,0.000017020944,0.00003369064,0.00022241741,0.000098105076,0.016438177,0.976399,0.00018602716,0.00167742,0.000021246009],"about_ca_topic_score_codex":0.00036311775,"about_ca_topic_score_gemma":0.000926211,"teacher_disagreement_score":0.00066917285,"about_ca_system_score_codex":0.000209516,"about_ca_system_score_gemma":0.00025270227,"threshold_uncertainty_score":0.0022386312},"labels":[],"label_agreement":null},{"id":"W4409991211","doi":"10.1109/apec48143.2025.10977356","title":"Evaluation of Retired Lithium-ion Batteries for Second-life Applications through Electrochemical Impedance Spectroscopy","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Dielectric spectroscopy; Lithium (medication); Ion; Electrochemistry; Electrical impedance; Materials science; Spectroscopy; Electrical engineering; Optoelectronics; Engineering physics; Computer science; Electrode; Engineering; Chemistry; Physics; Psychology","score_opus":0.027640919808137918,"score_gpt":0.3431872788961625,"score_spread":0.3155463590880246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409991211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9770949,0.0028255677,0.015831033,0.0001613463,0.0001006453,0.00008777961,0.00095418136,0.00030831844,0.0026363085],"genre_scores_gemma":[0.9889381,0.001683491,0.0050979936,0.00007362905,0.0000116369265,0.000067374,0.0006258827,0.00003459303,0.0034673065],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99949384,0.00003638394,0.00003177073,0.000052429663,0.0003346379,0.00005082045],"domain_scores_gemma":[0.99960786,0.000055829587,0.000040036524,0.000031316606,0.00024577932,0.00001910552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005380556,0.00041721135,0.00047813405,0.0007352971,0.00021254641,0.0007037299,0.00058156735,0.0006442469,0.0009837863],"category_scores_gemma":[0.00088467804,0.00014347436,0.0003509506,0.0006939281,0.00018730172,0.00075668265,0.00031083237,0.00042878787,0.0005037171],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003889325,0.00011753636,0.004849293,0.0003500833,0.00003605763,0.00039784831,0.0002263305,0.0020048216,0.95151913,0.00026467533,0.00057464436,0.039270606],"study_design_scores_gemma":[0.00001325433,0.0007868344,0.012405133,0.000027904693,0.000051370276,0.00033849492,0.00039108816,0.014409074,0.9661875,0.0002218084,0.0051373215,0.00003027074],"about_ca_topic_score_codex":0.0007768406,"about_ca_topic_score_gemma":0.0012954454,"teacher_disagreement_score":0.0009837863,"about_ca_system_score_codex":0.0003489963,"about_ca_system_score_gemma":0.00021327073,"threshold_uncertainty_score":0.0032910705},"labels":[],"label_agreement":null},{"id":"W4409991244","doi":"10.1109/apec48143.2025.10977471","title":"DC-DC Converter Architecture for Fast Electric Vehicle (EV) Battery Charging Applications","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Battery (electricity); Electric vehicle; Electrical engineering; Computer science; Architecture; Electric-vehicle battery; Automotive engineering; Engineering; Power (physics); Physics","score_opus":0.008568925357400599,"score_gpt":0.25584946569191874,"score_spread":0.24728054033451816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409991244","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048938923,0.0020450042,0.8803951,0.0003702962,0.00049575494,0.00036721994,0.0004323229,0.0032527214,0.06370275],"genre_scores_gemma":[0.86744565,0.0017667633,0.09836019,0.00023787927,0.00013246694,0.00020978623,0.0004964629,0.00012620534,0.031224629],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998851,0.000009157481,0.000007716538,0.00002258433,0.00006433788,0.000011045852],"domain_scores_gemma":[0.99991035,0.000006014544,0.000003826645,0.000010214159,0.000064932865,0.0000046509344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000984496,0.00033583515,0.0002408134,0.00032335878,0.0003250064,0.00066955044,0.000657284,0.000288708,0.0046109157],"category_scores_gemma":[0.00013190456,0.000119860706,0.00016880623,0.00039806069,0.00011943492,0.00056294166,0.00023528808,0.00055556593,0.0019085521],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019974518,0.00022001285,0.0010312484,0.00094729505,0.000074494965,0.00042261646,0.00013378335,0.024248991,0.4631117,0.030116864,0.014540207,0.46495312],"study_design_scores_gemma":[0.00011035048,0.0010968617,0.0030551713,0.00016841473,0.00014280881,0.0029095863,0.00017399743,0.34022036,0.36144546,0.014735599,0.2758575,0.00008398136],"about_ca_topic_score_codex":0.0008459561,"about_ca_topic_score_gemma":0.0016320444,"teacher_disagreement_score":0.0046109157,"about_ca_system_score_codex":0.00030246083,"about_ca_system_score_gemma":0.00035305836,"threshold_uncertainty_score":0.015425086},"labels":[],"label_agreement":null},{"id":"W4409992203","doi":"10.1109/apec48143.2025.10977172","title":"A Flexible Energy Management System for Solar Powered Electric-Bus Charging Stations","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Solar powered; Energy management; Solar energy; Energy management system; Automotive engineering; Photovoltaic system; Electric vehicle; Computer science; Electrical engineering; Aerospace engineering; Energy (signal processing); Environmental science; Engineering; Power (physics); Physics","score_opus":0.010539833551832365,"score_gpt":0.26405247642792196,"score_spread":0.2535126428760896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409992203","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09034297,0.0004107077,0.86843204,0.0004069612,0.0003261759,0.00045661852,0.0006833339,0.01802089,0.020920198],"genre_scores_gemma":[0.9600288,0.00009731421,0.034149118,0.00009953571,0.00006096543,0.00016467058,0.00041635078,0.000105993524,0.0048771347],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997676,0.000027020957,0.000020413105,0.00007424003,0.000071408125,0.000039430237],"domain_scores_gemma":[0.99978596,0.000022474733,0.0000313192,0.00005402963,0.00007066188,0.00003547996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003152307,0.0005021335,0.00042619993,0.00050590653,0.0008693053,0.0010126174,0.001222642,0.00038549522,0.005956657],"category_scores_gemma":[0.00049121404,0.00024085566,0.00026921337,0.00054957345,0.00018905307,0.0007030024,0.0007698756,0.0005671035,0.0014150437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000695895,0.0005366517,0.0060825627,0.0002610801,0.00016151123,0.00093375286,0.00033225262,0.28218362,0.067203574,0.017558958,0.031634104,0.59241605],"study_design_scores_gemma":[0.00010314626,0.00016153949,0.0017052658,0.000016007652,0.00003600699,0.00017210572,0.00004524496,0.96304595,0.010874735,0.0034737345,0.020323109,0.000043105985],"about_ca_topic_score_codex":0.0024374537,"about_ca_topic_score_gemma":0.002996072,"teacher_disagreement_score":0.005956657,"about_ca_system_score_codex":0.0004445687,"about_ca_system_score_gemma":0.00065896363,"threshold_uncertainty_score":0.019926965},"labels":[],"label_agreement":null},{"id":"W4409992456","doi":"10.1109/apec48143.2025.10977377","title":"Optimization Strategy for Battery Electric Vehicle (BEV) DC Fast Charging (FC) in Cold Environments","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Electric vehicle; Automotive engineering; Battery electric vehicle; Automotive battery; Electrical engineering; Computer science; Trickle charging; Engineering; Power (physics); Physics","score_opus":0.013524537297522336,"score_gpt":0.2555469426490274,"score_spread":0.24202240535150504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409992456","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10503847,0.0004947566,0.8681218,0.0002846399,0.00005058182,0.00017132412,0.00012038682,0.00050371484,0.025214354],"genre_scores_gemma":[0.9552437,0.00015412284,0.038508967,0.000074687036,0.000013515042,0.00014454577,0.00008526486,0.000087042295,0.0056881174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987805,0.00003069828,0.0000037674583,0.000018366232,0.00004046681,0.00002852599],"domain_scores_gemma":[0.99983585,0.00007664442,0.00001766977,0.000009157257,0.000049839193,0.0000108822105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035939077,0.00090863556,0.0006260217,0.00031677468,0.0003696659,0.00088354544,0.0005423137,0.0004688109,0.0025929394],"category_scores_gemma":[0.0005839346,0.00032258563,0.00037289053,0.00027206744,0.0002902599,0.0004487885,0.00047499867,0.0004493855,0.00033973358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052743475,0.000034167344,0.0002322761,0.00004467597,0.000016969268,0.00004219244,0.000027348839,0.9777424,0.002939837,0.0015634203,0.0006182518,0.016685799],"study_design_scores_gemma":[0.0000060053944,0.000033186276,0.00013394198,0.0000033664019,0.000005869245,0.0000056405233,0.000014162664,0.9982425,0.0006009258,0.0005531508,0.00039799444,0.0000031474192],"about_ca_topic_score_codex":0.006458635,"about_ca_topic_score_gemma":0.0053331917,"teacher_disagreement_score":0.006458635,"about_ca_system_score_codex":0.00048358578,"about_ca_system_score_gemma":0.0009157756,"threshold_uncertainty_score":0.012842119},"labels":[],"label_agreement":null},{"id":"W4409992506","doi":"10.1109/apec48143.2025.10977474","title":"Critical Thermal Characterization of Next-Generation Solid-State Batteries for Automotive Battery Management Systems","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Characterization (materials science); Automotive industry; Battery (electricity); Solid-state; Thermal management of electronic devices and systems; Thermal; Computer science; Automotive engineering; Materials science; Reliability engineering; Engineering; Mechanical engineering; Engineering physics; Nanotechnology; Aerospace engineering; Physics; Power (physics)","score_opus":0.02941220822734485,"score_gpt":0.2974906329976724,"score_spread":0.26807842477032756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409992506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97438633,0.0019378907,0.011880482,0.0003186184,0.000155325,0.00008305627,0.0009355329,0.00030104106,0.010001665],"genre_scores_gemma":[0.9960223,0.00021177159,0.00071607385,0.000032483073,0.000010243383,0.000020877877,0.00028072708,0.00004580821,0.0026598433],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997291,0.000017567982,0.000011171958,0.00003938122,0.00014989528,0.00005278249],"domain_scores_gemma":[0.9996201,0.00007824519,0.00002053638,0.00003179554,0.00023269602,0.00001665844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002600964,0.00032651858,0.00038211903,0.00050484383,0.00051273714,0.00064276386,0.0004475114,0.00040524316,0.0038581812],"category_scores_gemma":[0.00066296966,0.00017364197,0.0002564046,0.0002918321,0.0003090155,0.0010990514,0.00029126284,0.00032474252,0.00078650605],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011449913,0.0000783499,0.0050681215,0.00038246336,0.000051271512,0.0002802162,0.0005421585,0.0085635595,0.9503495,0.0015509471,0.0030459128,0.028942408],"study_design_scores_gemma":[0.000016613158,0.00052754406,0.012676977,0.000037736423,0.000040277126,0.00030972844,0.0005424813,0.035358638,0.93837655,0.0008925698,0.011189111,0.000031682604],"about_ca_topic_score_codex":0.0014601403,"about_ca_topic_score_gemma":0.0030503888,"teacher_disagreement_score":0.0038581812,"about_ca_system_score_codex":0.00065653014,"about_ca_system_score_gemma":0.0005209702,"threshold_uncertainty_score":0.012906909},"labels":[],"label_agreement":null},{"id":"W4410051492","doi":"10.2139/ssrn.5240382","title":"Model-Free Emulation of the Impact of Kinetics and Temperature on Commercial Li-Ion Batteries","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Emulation; Kinetics; Ion; Environmental science; Materials science; Nuclear engineering; Process engineering; Chemistry; Engineering; Physics; Economics","score_opus":0.013549484023388523,"score_gpt":0.28767749461555836,"score_spread":0.27412801059216985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410051492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92073554,0.00065878814,0.052038435,0.00060790643,0.00011935695,0.000060729228,0.001270164,0.0014022952,0.023106845],"genre_scores_gemma":[0.9968742,0.000056186735,0.0013179083,0.000030307378,0.00000599024,0.000018633411,0.00020784725,0.0000782436,0.0014106855],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998609,0.000039698763,0.000007174385,0.000019370858,0.000039443054,0.000033380362],"domain_scores_gemma":[0.99896514,0.00068530004,0.000056782028,0.00007986378,0.00018607442,0.000026765869],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040986802,0.0007171124,0.0006813403,0.00032692132,0.0003165407,0.0006244248,0.0012699002,0.0011264114,0.004328778],"category_scores_gemma":[0.0023603342,0.00032419284,0.00055277837,0.00038095785,0.0004300905,0.0006804107,0.00034806016,0.00073117024,0.00041558154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008087385,0.000031606174,0.00037508982,0.000052759486,0.000008749323,0.000033703847,0.000019211842,0.99582386,0.001204162,0.0008239933,0.0002742089,0.0012717923],"study_design_scores_gemma":[0.000006903552,0.000011370804,0.0001128202,0.0000025244717,0.0000031679856,0.0000036269141,0.000004705282,0.9986505,0.0009396458,0.00016902757,0.000093216804,0.0000024620165],"about_ca_topic_score_codex":0.018052883,"about_ca_topic_score_gemma":0.009256282,"teacher_disagreement_score":0.018052883,"about_ca_system_score_codex":0.0009222979,"about_ca_system_score_gemma":0.0006490744,"threshold_uncertainty_score":0.035895586},"labels":[],"label_agreement":null},{"id":"W4410121125","doi":"10.1007/s10853-025-10848-z","title":"Study on the influence of copper foil current collector roughness on lithium-ion battery performance","year":2025,"lang":"en","type":"article","venue":"Journal of Materials Science","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Iron Ore Company (Canada)","funders":"National Natural Science Foundation of China","keywords":"FOIL method; Materials science; Current collector; Copper; Current (fluid); Battery (electricity); Lithium-ion battery; Ion; Lithium (medication); Surface finish; Composite material; Metallurgy; Electrical engineering; Thermodynamics; Power (physics); Engineering","score_opus":0.02674847307417654,"score_gpt":0.3103159768639678,"score_spread":0.28356750378979123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410121125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963523,0.0012515525,0.0010851461,0.000040034516,0.00003685093,0.000015439935,0.000088374676,0.000036592974,0.001093743],"genre_scores_gemma":[0.99874604,0.000326285,0.00039499675,0.000010440044,0.00001128557,0.0000046546807,0.000060772574,0.000011626602,0.00043380997],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997569,0.000028936822,0.000016399854,0.000042606516,0.00010503501,0.000050199247],"domain_scores_gemma":[0.9988159,0.00047001903,0.00012376226,0.000121053024,0.0004388448,0.000030407706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031746033,0.0002300869,0.0003343592,0.00022977887,0.0003176956,0.00045395293,0.0002826993,0.0003731083,0.0013909169],"category_scores_gemma":[0.0013148028,0.00015255828,0.00035577492,0.00031733143,0.00020054472,0.00040701963,0.00015370069,0.00027227294,0.00027538542],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083501835,0.000083877465,0.004839137,0.00032648374,0.000053366326,0.00027034697,0.00014090975,0.002852488,0.978208,0.0001264253,0.00031496873,0.0119488975],"study_design_scores_gemma":[0.000016872844,0.001050126,0.01891463,0.000017189213,0.0001248025,0.00017676342,0.00027795983,0.009282017,0.9685136,0.000044982447,0.0015525629,0.000028583125],"about_ca_topic_score_codex":0.0011332289,"about_ca_topic_score_gemma":0.0012237157,"teacher_disagreement_score":0.0013909169,"about_ca_system_score_codex":0.00025070348,"about_ca_system_score_gemma":0.00019768407,"threshold_uncertainty_score":0.0046530366},"labels":[],"label_agreement":null},{"id":"W4410398732","doi":"10.3390/pr13051528","title":"Long Short-Term Memory Networks for State of Charge and Average Temperature State Estimation of SPMeT Lithium–Ion Battery Model","year":2025,"lang":"en","type":"article","venue":"Processes","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"State of charge; Term (time); Lithium (medication); Battery (electricity); Lithium-ion battery; State (computer science); Ion; Materials science; Estimation; Charge (physics); Long short term memory; Computer science; Thermodynamics; Physics; Algorithm; Engineering; Psychology; Artificial intelligence; Artificial neural network; Quantum mechanics","score_opus":0.012211559861738653,"score_gpt":0.27219851655998095,"score_spread":0.2599869566982423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410398732","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20090364,0.0009277577,0.79217345,0.00033492048,0.00010244378,0.00006976406,0.0005451783,0.0023134607,0.0026294177],"genre_scores_gemma":[0.9355698,0.00018929997,0.061030924,0.00006327924,0.0000202966,0.00011385832,0.00068977766,0.0000644296,0.0022583695],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989057,0.000021469741,0.000009623203,0.000036906895,0.000022182467,0.000019214121],"domain_scores_gemma":[0.9996427,0.00017145985,0.00003179456,0.0000360995,0.00010951308,0.000008321553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046743787,0.0006427578,0.00039064258,0.00025208696,0.00024262347,0.00041405158,0.0008842954,0.0005518427,0.001724826],"category_scores_gemma":[0.0016543021,0.00028132187,0.00043766576,0.0003296957,0.00020198937,0.00088468817,0.00034253468,0.0011077938,0.00034950254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085194646,0.00004618741,0.00081527425,0.00003910913,0.00003885462,0.00004147532,0.00002506338,0.9415964,0.0036243254,0.00087773235,0.00058437587,0.052225966],"study_design_scores_gemma":[8.608778e-7,0.0000059278614,0.00007510343,0.0000011270361,0.0000022638687,0.0000021681387,0.0000015535588,0.9991704,0.0005034967,0.00019279835,0.00004311141,0.000001161781],"about_ca_topic_score_codex":0.01487275,"about_ca_topic_score_gemma":0.018027613,"teacher_disagreement_score":0.01487275,"about_ca_system_score_codex":0.0006030515,"about_ca_system_score_gemma":0.00057544507,"threshold_uncertainty_score":0.029572368},"labels":[],"label_agreement":null},{"id":"W4410419580","doi":"10.1016/j.isci.2025.112691","title":"Advanced lithium-ion battery process manufacturing equipment for gigafactories: Past, present, and future perspectives","year":2025,"lang":"en","type":"review","venue":"iScience","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Electrification; Battery (electricity); Process (computing); Manufacturing engineering; Resource (disambiguation); Scalability; Resource efficiency; Computer science; Process engineering; Engineering; Electricity; Electrical engineering","score_opus":0.02541860728137574,"score_gpt":0.3414763744982112,"score_spread":0.3160577672168355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410419580","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004139213,0.9963987,0.0003634033,0.00040128673,0.00016998535,0.000005959088,0.000023934346,0.000011249954,0.0022115323],"genre_scores_gemma":[0.002082079,0.99615663,0.00043208097,0.0002028902,0.00008601436,0.000007917787,0.000038575134,0.0000024793349,0.0009913123],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997508,0.000030828676,0.000029204792,0.00004498346,0.00010490173,0.000039360217],"domain_scores_gemma":[0.9995035,0.00018333571,0.00007550232,0.00001671826,0.00018737827,0.000033455486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009604526,0.00085888593,0.00091439544,0.001973964,0.000294764,0.0013710969,0.00092633185,0.0011467602,0.0051032794],"category_scores_gemma":[0.000689578,0.00036146078,0.0007525105,0.0028148002,0.0003697158,0.0024888641,0.0006468916,0.0016478013,0.002020472],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007912275,0.00010432825,0.00027977818,0.030222204,0.00007872106,0.00026134687,0.000094107214,0.0009820721,0.0075787078,0.012977058,0.017760862,0.92958176],"study_design_scores_gemma":[0.000010451201,0.00014935936,0.0006323294,0.0033380287,0.00009860723,0.00065009925,0.000083521576,0.00028738365,0.0018876642,0.003871083,0.9889703,0.000021191887],"about_ca_topic_score_codex":0.0012322166,"about_ca_topic_score_gemma":0.0027251744,"teacher_disagreement_score":0.0051032794,"about_ca_system_score_codex":0.00059187924,"about_ca_system_score_gemma":0.0013712315,"threshold_uncertainty_score":0.0170722},"labels":[],"label_agreement":null},{"id":"W4410462545","doi":"10.1016/j.jpowsour.2025.237203","title":"Prognostics of internal short circuit in lithium-ion batteries — Literature survey and performance evaluation","year":2025,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"General Motors of Canada; General Motors Corporation","keywords":"Prognostics; Lithium (medication); Reliability engineering; Ion; Computer science; Engineering; Nuclear engineering; Chemistry; Psychology; Psychiatry","score_opus":0.019950510782390633,"score_gpt":0.2872521305336185,"score_spread":0.26730161975122785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410462545","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09699988,0.8306997,0.059716936,0.0022337975,0.00083240453,0.00014433914,0.0023235306,0.0005916234,0.0064577702],"genre_scores_gemma":[0.66776496,0.31820774,0.009532134,0.00022984482,0.0012064389,0.00006238527,0.0019655912,0.00003114001,0.000999627],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99897194,0.00024515024,0.00020753848,0.00018354636,0.000353521,0.00003820336],"domain_scores_gemma":[0.9921927,0.0047660475,0.0012593649,0.0002156534,0.0014773654,0.00008884987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022323213,0.0011725058,0.0013297043,0.0035567721,0.00022710876,0.0017241266,0.001292687,0.00078151096,0.0012250096],"category_scores_gemma":[0.01478445,0.0002519452,0.00083974435,0.0029297865,0.0004968584,0.0019066192,0.00044736514,0.0005924719,0.0003404204],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050052104,0.0001779739,0.060443226,0.010774083,0.00048095227,0.0002467374,0.00022084982,0.030993598,0.0011884903,0.002904991,0.0051561682,0.8869124],"study_design_scores_gemma":[0.0002490492,0.004981326,0.19147784,0.033980235,0.007677834,0.00848273,0.0031976658,0.47184408,0.031112108,0.05910697,0.18723974,0.0006504846],"about_ca_topic_score_codex":0.0018626837,"about_ca_topic_score_gemma":0.0014879332,"teacher_disagreement_score":0.0035567721,"about_ca_system_score_codex":0.00045904,"about_ca_system_score_gemma":0.001068913,"threshold_uncertainty_score":0.011805832},"labels":[],"label_agreement":null},{"id":"W4410492097","doi":"10.1109/tvt.2025.3571784","title":"Centralized Multi-Agent SOC Control for Battery Health Using Proximal Policy Optimization in EVs","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Carleton University","funders":"","keywords":"Battery (electricity); Control (management); Computer science; System on a chip; Embedded system; Engineering; Power (physics)","score_opus":0.02144847981661386,"score_gpt":0.3176745835375705,"score_spread":0.29622610372095665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410492097","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045916494,0.00043195742,0.94735396,0.00026426517,0.00007192236,0.000057461442,0.000021884953,0.0003644613,0.0055176113],"genre_scores_gemma":[0.98409027,0.00010784968,0.013939454,0.000057704656,0.000020859678,0.00006847091,0.00001559333,0.00001376482,0.0016860492],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996655,0.00009756889,0.0000137077295,0.000083046376,0.000068264475,0.0000718834],"domain_scores_gemma":[0.9995939,0.00017675683,0.00007879224,0.000020625128,0.000088846034,0.00004100924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007631574,0.00078637595,0.0010138327,0.00030105232,0.00046148774,0.00084830995,0.0010510985,0.000821265,0.001060989],"category_scores_gemma":[0.0011264859,0.00039770565,0.00047551288,0.00024843158,0.0008991191,0.0005001201,0.0010559814,0.0007437674,0.00017248404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045465018,0.000021554451,0.00021062345,0.000030626492,0.000017195052,0.00005397683,0.000035814744,0.9889675,0.0009530313,0.002687591,0.00022765638,0.006748939],"study_design_scores_gemma":[0.000007066563,0.000018737683,0.00003429257,0.0000016715453,0.0000032190762,0.0000043777977,0.0000047161307,0.99906176,0.00012552354,0.00061843946,0.00011807531,0.0000020924847],"about_ca_topic_score_codex":0.0068545854,"about_ca_topic_score_gemma":0.0036323746,"teacher_disagreement_score":0.0068545854,"about_ca_system_score_codex":0.00062418403,"about_ca_system_score_gemma":0.0010440721,"threshold_uncertainty_score":0.013629377},"labels":[],"label_agreement":null},{"id":"W4410539093","doi":"10.1039/d5cc01385b","title":"Edible batteries for biomedical innovation: advances, challenges, and future perspectives","year":2025,"lang":"en","type":"review","venue":"Chemical Communications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China; State Key Laboratory of Polymer Materials Engineering; National Natural Science Foundation of China","keywords":"Sustainable energy; Intersection (aeronautics); Nanotechnology; Energy (signal processing); Biochemical engineering; Efficient energy use; Business; Engineering; Materials science; Electrical engineering; Renewable energy; Transport engineering","score_opus":0.07475016883652708,"score_gpt":0.3809960241073525,"score_spread":0.30624585527082543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410539093","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004138153,0.9953666,0.0005875687,0.00080231234,0.0002716434,0.0000057974635,0.000022041791,0.000011305389,0.0025188872],"genre_scores_gemma":[0.002096797,0.9960282,0.00041829556,0.00027948365,0.000121138764,0.0000063137463,0.000020401658,0.0000021748053,0.001027274],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99976,0.000043821463,0.000026845168,0.000034448516,0.00009760118,0.000037332364],"domain_scores_gemma":[0.9996557,0.00018937484,0.000034365945,0.000011017556,0.0000859781,0.000023638928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090600015,0.0006253335,0.00087501906,0.0014235427,0.0003016496,0.001818916,0.00070726644,0.0012572866,0.004694639],"category_scores_gemma":[0.00073037494,0.00026217682,0.0004970737,0.0016891935,0.00054642773,0.0025673977,0.0008848947,0.0017475195,0.001378616],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007409604,0.000111715686,0.00021175218,0.030853922,0.00008613606,0.00051920593,0.00026829576,0.0009051818,0.011572943,0.056317713,0.023848206,0.8752307],"study_design_scores_gemma":[0.0000068157146,0.000081036276,0.0001891575,0.0031047103,0.000045543584,0.000576408,0.00014493805,0.00017698332,0.0019459699,0.007764963,0.985946,0.000017515767],"about_ca_topic_score_codex":0.000502073,"about_ca_topic_score_gemma":0.0014051803,"teacher_disagreement_score":0.004694639,"about_ca_system_score_codex":0.00057470537,"about_ca_system_score_gemma":0.0011971308,"threshold_uncertainty_score":0.015705109},"labels":[],"label_agreement":null},{"id":"W4410561146","doi":"10.3389/fenrg.2025.1511978","title":"Fuel efficiency and economic assessment of a hybrid power supply system for mission critical applications","year":2025,"lang":"en","type":"article","venue":"Frontiers in Energy Research","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Power (physics); Environmental science; Engineering; Nuclear engineering; Physics; Thermodynamics","score_opus":0.014363769152581682,"score_gpt":0.3507297891283911,"score_spread":0.3363660199758094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410561146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99137986,0.000091084796,0.004538395,0.00004544627,0.0000053617964,0.000031648768,0.0002684343,0.000042455747,0.0035974407],"genre_scores_gemma":[0.99855477,0.00004163361,0.0006401485,0.0000030641004,7.077814e-7,0.000010567009,0.00007715547,0.0000037240432,0.0006681635],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990344,0.000025589306,0.0000053383606,0.000012692064,0.00003639094,0.000016508358],"domain_scores_gemma":[0.99974483,0.00013682844,0.000029460969,0.000011498669,0.000066047585,0.000011367882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034385992,0.00039707794,0.00031004957,0.00052061724,0.00028209458,0.0005657379,0.0004202985,0.00048199442,0.0022140774],"category_scores_gemma":[0.000578345,0.00020950142,0.0003136218,0.0004908576,0.00024504826,0.0005545415,0.00021979846,0.0002571719,0.00019116809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037384967,0.00009653427,0.005840254,0.00009077839,0.000030990504,0.00013805073,0.000026595933,0.9675346,0.015212797,0.00047286187,0.00026502798,0.009917644],"study_design_scores_gemma":[0.000041343428,0.0007072444,0.008881549,0.000011158347,0.000039050592,0.000050098453,0.000102198894,0.97656065,0.012674117,0.000310882,0.00060463126,0.000017113452],"about_ca_topic_score_codex":0.009012589,"about_ca_topic_score_gemma":0.009491418,"teacher_disagreement_score":0.009012589,"about_ca_system_score_codex":0.001144505,"about_ca_system_score_gemma":0.00034936666,"threshold_uncertainty_score":0.017920256},"labels":[],"label_agreement":null},{"id":"W4410584022","doi":"10.1016/j.trd.2025.104825","title":"Achieving bus electrification: Strategy for bus fleet replacement in cold region","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; Natural Science Foundation of Fujian Province; National Natural Science Foundation of China","keywords":"Electrification; Automotive engineering; Transport engineering; Engineering; Computer science; Environmental science; Electrical engineering; Electricity","score_opus":0.05183374341048137,"score_gpt":0.3171907724964382,"score_spread":0.2653570290859568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410584022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5156159,0.0022856726,0.12974632,0.02488273,0.00069903897,0.0007585591,0.0014501764,0.0012969874,0.3232647],"genre_scores_gemma":[0.94768554,0.00074475916,0.012016785,0.0007185233,0.000050680293,0.00012660249,0.00032694443,0.000054148524,0.038275987],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99976903,0.000041334097,0.0000056725357,0.00002918664,0.00003884883,0.000115938055],"domain_scores_gemma":[0.9996929,0.000015146482,0.000028072966,0.000016503182,0.00015138,0.000095956035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004979432,0.0006621693,0.00036456538,0.00049232383,0.0012930792,0.0019670106,0.0010721873,0.0011122852,0.008555843],"category_scores_gemma":[0.0005341259,0.00015208276,0.00043642946,0.000610746,0.00033547962,0.0015667143,0.0015124269,0.0010056276,0.0013587491],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009266345,0.0008576345,0.024796877,0.0012155733,0.00024418515,0.0023512235,0.002258829,0.20933719,0.074018456,0.2101418,0.10126279,0.3725889],"study_design_scores_gemma":[0.0002759827,0.0020426062,0.055964448,0.0008207066,0.0003653869,0.0018671456,0.02247166,0.26304635,0.06085917,0.10314798,0.4889122,0.00022631443],"about_ca_topic_score_codex":0.019006284,"about_ca_topic_score_gemma":0.039878618,"teacher_disagreement_score":0.019006284,"about_ca_system_score_codex":0.0015005778,"about_ca_system_score_gemma":0.0066551636,"threshold_uncertainty_score":0.03779131},"labels":[],"label_agreement":null},{"id":"W4410775082","doi":"10.1016/j.energy.2025.136824","title":"A novel solar energy-based hydrogen generator integrated with battery storage","year":2025,"lang":"en","type":"article","venue":"Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Hydrogen storage; Energy storage; Battery (electricity); Solar energy; Nuclear engineering; Hydrogen; Generator (circuit theory); Photovoltaic system; Electrical engineering; Environmental science; Materials science; Engineering physics; Engineering; Chemistry; Physics; Thermodynamics; Power (physics)","score_opus":0.007869257561055465,"score_gpt":0.21460401611827779,"score_spread":0.20673475855722231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410775082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66694623,0.0017234723,0.29363024,0.0005449634,0.00035979267,0.00027618796,0.0012028627,0.005741794,0.029574508],"genre_scores_gemma":[0.96084046,0.00023696039,0.030505419,0.00006528111,0.000026178155,0.000046257697,0.00021775338,0.000033112967,0.008028534],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99994576,0.00000670946,0.0000031043214,0.000017119846,0.000020270132,0.0000070241617],"domain_scores_gemma":[0.99996984,0.000004820589,0.0000039980173,0.0000042216325,0.000011501871,0.0000056403505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006149899,0.0001837229,0.00032171217,0.00013080635,0.0002503218,0.00027003005,0.00090425805,0.00037039138,0.0022081323],"category_scores_gemma":[0.000058120415,0.0001608986,0.00018899502,0.00023391268,0.00008700095,0.00046557153,0.00020345277,0.00022174366,0.0006440225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011410437,0.0006659373,0.005394637,0.00078587537,0.00021181615,0.0013373098,0.000093598646,0.04454951,0.68141896,0.0053473217,0.00827437,0.2507796],"study_design_scores_gemma":[0.00026819314,0.0018919171,0.007467215,0.000026838552,0.00013894655,0.0013901301,0.000051047424,0.612772,0.33764747,0.0015815453,0.036702555,0.00006219967],"about_ca_topic_score_codex":0.0006240437,"about_ca_topic_score_gemma":0.0016040702,"teacher_disagreement_score":0.0022081323,"about_ca_system_score_codex":0.00012612231,"about_ca_system_score_gemma":0.00023659148,"threshold_uncertainty_score":0.0073869824},"labels":[],"label_agreement":null},{"id":"W4410787658","doi":"10.3390/batteries11060209","title":"Challenges and Issues Facing Ultrafast-Charging Lithium-Ion Batteries","year":2025,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Canada First Research Excellence Fund; Concordia University","keywords":"Lithium (medication); Ion; Environmental science; Materials science; Computer science; Process engineering; Chemistry; Engineering; Psychology","score_opus":0.024971632405122034,"score_gpt":0.282174551466232,"score_spread":0.25720291906111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410787658","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011031433,0.9618967,0.009649341,0.0067954618,0.0008937557,0.000034082666,0.0000878812,0.000110345514,0.0095010055],"genre_scores_gemma":[0.06876728,0.9129379,0.009167185,0.0025770601,0.0007906851,0.00007760218,0.00016836135,0.00004261549,0.0054713637],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990465,0.00013031039,0.00010040781,0.00010167571,0.00051641243,0.00010465323],"domain_scores_gemma":[0.99906904,0.00040668214,0.000093728515,0.00003240354,0.00036012623,0.000037962964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022226402,0.00047811994,0.0009786004,0.00062050426,0.00068783405,0.0020640672,0.0015324557,0.0020377734,0.001928898],"category_scores_gemma":[0.0014035426,0.00043205512,0.00071057957,0.00086170697,0.0008115616,0.004368421,0.0014138906,0.0022227226,0.0014573829],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025594648,0.00015934838,0.0014189216,0.04128895,0.00015061555,0.0018158256,0.0011351877,0.0070199156,0.08648494,0.071514525,0.026952203,0.7618035],"study_design_scores_gemma":[0.000027404938,0.00034263343,0.0008225603,0.0028262343,0.0001249198,0.0034882433,0.0013723479,0.0037713447,0.04317286,0.034393456,0.9095385,0.000119580036],"about_ca_topic_score_codex":0.0010022551,"about_ca_topic_score_gemma":0.0015328862,"teacher_disagreement_score":0.0022226402,"about_ca_system_score_codex":0.00086482335,"about_ca_system_score_gemma":0.0012584158,"threshold_uncertainty_score":0.011754572},"labels":[],"label_agreement":null},{"id":"W4410925230","doi":"10.1016/j.seta.2025.104371","title":"SWOT analysis on the transition from Lithium-Ion batteries to Sodium-Ion batteries","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Technologies and Assessments","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Balsillie School of International Affairs; University of Waterloo","funders":"Deanship of Scientific Research, Imam Mohammed Ibn Saud Islamic University","keywords":"Lithium (medication); Ion; SWOT analysis; Sodium; Materials science; Chemistry; Business; Medicine; Metallurgy; Internal medicine; Organic chemistry","score_opus":0.008152941272170191,"score_gpt":0.2667592263133572,"score_spread":0.258606285041187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410925230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9681663,0.0024524687,0.013001104,0.00021707173,0.00011404608,0.00016333885,0.0037146052,0.0001512448,0.012019824],"genre_scores_gemma":[0.97667104,0.0024789362,0.011843697,0.00016167747,0.000022305352,0.00009468367,0.0029204746,0.000053446813,0.005753737],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99960333,0.000024695659,0.000023654604,0.00005286748,0.00022995597,0.00006544975],"domain_scores_gemma":[0.99974924,0.000041258412,0.000037650894,0.0000073882156,0.00013877348,0.000025757126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031380248,0.00033461463,0.0004036843,0.0021950034,0.00060137524,0.0009145053,0.00033936018,0.00046062743,0.0022195599],"category_scores_gemma":[0.00041015548,0.00015865739,0.00062846736,0.0022074739,0.0004311952,0.0005787555,0.0003578692,0.0004049049,0.0006890676],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011507481,0.00028658978,0.046832707,0.0025369267,0.00009537457,0.0033466376,0.001550132,0.013373447,0.82447,0.0088515235,0.0044198143,0.09308614],"study_design_scores_gemma":[0.000022716105,0.0009990288,0.09563916,0.00034646335,0.00016358732,0.0015133127,0.005886145,0.052028008,0.7846919,0.006671881,0.051899098,0.00013874567],"about_ca_topic_score_codex":0.0024836229,"about_ca_topic_score_gemma":0.004871796,"teacher_disagreement_score":0.0024836229,"about_ca_system_score_codex":0.00033912732,"about_ca_system_score_gemma":0.0003790892,"threshold_uncertainty_score":0.007425189},"labels":[],"label_agreement":null},{"id":"W4410925783","doi":"10.1007/s42154-024-00341-9","title":"A Model Cluster Adapting to Different Charge Voltage Segments for Battery Capacity Estimation","year":2025,"lang":"en","type":"article","venue":"Automotive Innovation","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Battery capacity; Battery (electricity); Cluster (spacecraft); Voltage; Estimation; Computer science; Charge (physics); Electrical engineering; Engineering; Power (physics); Physics; Computer network","score_opus":0.04069470952149493,"score_gpt":0.30452593924896015,"score_spread":0.2638312297274652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410925783","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25683317,0.00061056926,0.7335313,0.00030484213,0.00009469325,0.00022261756,0.0021807682,0.004430918,0.0017911901],"genre_scores_gemma":[0.88094914,0.00017845829,0.110700004,0.00008675476,0.00003337359,0.00023653744,0.006441805,0.00017846678,0.001195555],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994748,0.00011282431,0.00003173234,0.00020239642,0.00009819328,0.00008014493],"domain_scores_gemma":[0.99885356,0.00043625792,0.00009253269,0.00016860834,0.00039869064,0.000050349423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013565382,0.0014601015,0.0010336254,0.0016075966,0.00056458294,0.000787496,0.0015983857,0.0008987636,0.0012039503],"category_scores_gemma":[0.0034450297,0.00031910776,0.0018957306,0.0011878031,0.00034974454,0.0011967574,0.00079392886,0.0009712785,0.00044846497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015260057,0.00011639447,0.0061931536,0.000078971476,0.000097459764,0.00005675379,0.000052447143,0.92959887,0.0021856877,0.0008636515,0.0019642902,0.058639754],"study_design_scores_gemma":[0.0000044647036,0.000013036737,0.0006547777,0.0000039496053,0.000008215223,0.0000070981723,0.000012276337,0.99808276,0.00061475567,0.00037437378,0.00021808778,0.000006128597],"about_ca_topic_score_codex":0.037127793,"about_ca_topic_score_gemma":0.017841166,"teacher_disagreement_score":0.037127793,"about_ca_system_score_codex":0.00091666915,"about_ca_system_score_gemma":0.0013557548,"threshold_uncertainty_score":0.07382339},"labels":[],"label_agreement":null},{"id":"W4410977050","doi":"10.1016/j.est.2025.117199","title":"Historical dimensions and directions on energy storage: unique perspectives","year":2025,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Architectural engineering; Geography; Economic geography; Epistemology; Sociology; Computer science; Data science; Engineering; Philosophy","score_opus":0.010235900784672401,"score_gpt":0.2557769264403069,"score_spread":0.24554102565563451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410977050","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020595856,0.88673866,0.002987913,0.03539456,0.0063926936,0.000014684059,0.0002420707,0.000028068818,0.06614185],"genre_scores_gemma":[0.03101577,0.94352275,0.0017093013,0.008616594,0.008331129,0.000027520175,0.00018839819,0.000033623695,0.006554815],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99897987,0.00033700746,0.00011185993,0.00020119258,0.00029677027,0.00007335898],"domain_scores_gemma":[0.99578285,0.0027213322,0.0002575593,0.00018709284,0.0008604481,0.00019065068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022670082,0.0006998369,0.0005996733,0.005599369,0.0018434743,0.0062086578,0.0008119569,0.0019301828,0.005570715],"category_scores_gemma":[0.004859324,0.00027396265,0.0003567182,0.00906942,0.005485829,0.009615499,0.0019558931,0.003933017,0.0012665415],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008359921,0.000049881208,0.001163003,0.003849866,0.000032536045,0.00018703355,0.0020645875,0.0006916864,0.00047984175,0.7241192,0.074328244,0.19295046],"study_design_scores_gemma":[0.0000024904823,0.000028733608,0.0006402163,0.0029638503,0.000011631712,0.00026457527,0.0012910014,0.00015726776,0.0001886416,0.05457346,0.93986034,0.000017762311],"about_ca_topic_score_codex":0.0025596227,"about_ca_topic_score_gemma":0.0035226333,"teacher_disagreement_score":0.0062086578,"about_ca_system_score_codex":0.0032013252,"about_ca_system_score_gemma":0.002275022,"threshold_uncertainty_score":0.023227334},"labels":[],"label_agreement":null},{"id":"W4410980583","doi":"10.1149/1945-7111/ade010","title":"Quantifying Electrolyte Motion in Cylindrical Li-Ion Cells using Rotational Inertia Measurements","year":2025,"lang":"en","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Electrolyte; Inertia; Ion; Motion (physics); Rotation around a fixed axis; Materials science; Mechanics; Moment of inertia; Chemistry; Physics; Classical mechanics; Physical chemistry; Electrode; Organic chemistry","score_opus":0.036072046920225885,"score_gpt":0.30080353851594244,"score_spread":0.2647314915957166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410980583","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9230837,0.0012400538,0.07212825,0.00007557714,0.00005843174,0.000115243245,0.00065997464,0.00081851945,0.0018201589],"genre_scores_gemma":[0.9621065,0.00089861936,0.03559458,0.000049780363,0.000017767805,0.000105874606,0.000414621,0.00003805848,0.0007741332],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999694,0.000030127812,0.000027425616,0.0000650857,0.00014940152,0.000034005247],"domain_scores_gemma":[0.99950945,0.00014804311,0.00012411992,0.000057918587,0.00012976347,0.000030661104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004579856,0.00033372932,0.0003556237,0.00074538344,0.00019392263,0.00045364664,0.0005712773,0.00044737218,0.0011529647],"category_scores_gemma":[0.0012923719,0.00017244919,0.00018394762,0.00083071843,0.00030050633,0.000702998,0.000421226,0.00029034624,0.00035027342],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011216574,0.000024364239,0.0025591587,0.00009584277,0.0000069951184,0.00004050714,0.00011479293,0.0009191421,0.9797856,0.00020182152,0.00012017835,0.016019542],"study_design_scores_gemma":[0.000022388162,0.00056360615,0.018021505,0.00001725737,0.000029760165,0.00019426284,0.00026048295,0.027074164,0.9510457,0.00024033758,0.0024714111,0.000059299782],"about_ca_topic_score_codex":0.0008040568,"about_ca_topic_score_gemma":0.0017515928,"teacher_disagreement_score":0.0011529647,"about_ca_system_score_codex":0.0002522471,"about_ca_system_score_gemma":0.0002207608,"threshold_uncertainty_score":0.0038570166},"labels":[],"label_agreement":null},{"id":"W4410989301","doi":"10.3390/electronics14112280","title":"Research on Model Prediction of Remaining Service Life of Lithium-Ion Batteries Based on Chaotic Time Series","year":2025,"lang":"en","type":"article","venue":"Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Chaotic; Battery (electricity); Computer science; Chaos theory; Support vector machine; Lyapunov exponent; Stability (learning theory); Series (stratigraphy); Phase space; Time series; Power (physics); Algorithm; Reliability engineering; Artificial intelligence; Machine learning; Engineering","score_opus":0.02578149994228976,"score_gpt":0.294729391871029,"score_spread":0.26894789192873925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410989301","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43772933,0.0014048084,0.5564721,0.00039056237,0.00006217783,0.000046426343,0.00021998674,0.000446953,0.0032276697],"genre_scores_gemma":[0.9937085,0.00040615373,0.0050988663,0.000011162513,0.000018036693,0.00002185287,0.00012269653,0.000008169668,0.0006045858],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998716,0.000021788386,0.000011546701,0.000042599866,0.000038735132,0.000013738697],"domain_scores_gemma":[0.9995826,0.00024851938,0.0000619608,0.0000228405,0.00007344546,0.000010719387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004260462,0.00050659705,0.00045182894,0.00047378475,0.00021441025,0.00061876676,0.0005405124,0.00035589503,0.00042396333],"category_scores_gemma":[0.0015339047,0.00015980811,0.00042142722,0.00046505255,0.00022238943,0.0007452339,0.00020284882,0.0004931885,0.00007271843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025655776,0.000023198032,0.003688129,0.00004258324,0.000028573522,0.000046489185,0.0000306094,0.97607416,0.0012432024,0.0013861798,0.00018068343,0.017230488],"study_design_scores_gemma":[3.1321065e-7,0.000003891556,0.00023618595,8.903772e-7,0.0000017378161,0.000003415672,0.0000017814381,0.9994461,0.00011934419,0.00015916057,0.000026228745,0.0000010649146],"about_ca_topic_score_codex":0.008740223,"about_ca_topic_score_gemma":0.0037513894,"teacher_disagreement_score":0.008740223,"about_ca_system_score_codex":0.000402308,"about_ca_system_score_gemma":0.00046437173,"threshold_uncertainty_score":0.017378688},"labels":[],"label_agreement":null},{"id":"W4410989852","doi":"10.1016/j.energy.2025.136953","title":"An improved Transformer incorporating fuzzy information entropy and average input strategy for SOC estimation of lithium-ion battery","year":2025,"lang":"en","type":"article","venue":"Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canada's Ocean Supercluster; Chongqing Municipal Education Commission; Chongqing Science and Technology Commission; Liverpool School of Tropical Medicine","keywords":"Fuzzy logic; Transformer; Lithium-ion battery; Entropy (arrow of time); Ion; Automotive engineering; Computer science; Chemistry; Engineering; Battery (electricity); Electrical engineering; Thermodynamics; Physics; Artificial intelligence; Voltage; Organic chemistry","score_opus":0.008635089995340758,"score_gpt":0.254190000518475,"score_spread":0.24555491052313425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410989852","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027528625,0.0004026348,0.9692263,0.00004107411,0.00005930651,0.00003408536,0.000039726157,0.00040957527,0.0022587187],"genre_scores_gemma":[0.9161248,0.00034714484,0.0815963,0.000048602607,0.00004211857,0.000032635257,0.00009925716,0.000031780637,0.0016772298],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973303,0.000060208487,0.0000257338,0.0000520081,0.00010500897,0.000023995875],"domain_scores_gemma":[0.99980897,0.00005328414,0.000013551809,0.000016242533,0.00009844218,0.000009463214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004527852,0.0004985886,0.00057888933,0.00045973496,0.00033508072,0.00071859075,0.0007339169,0.00040032668,0.0015876059],"category_scores_gemma":[0.0005885866,0.00024674492,0.00043144025,0.0005293546,0.00021506689,0.0011764617,0.0003657854,0.0002877344,0.0002993825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086685055,0.00014603235,0.0030936156,0.0006150315,0.00018129911,0.00026547565,0.00016601155,0.20153564,0.13229871,0.0122183915,0.0027451667,0.64586776],"study_design_scores_gemma":[0.000015799078,0.00011880221,0.00062202365,0.000011909152,0.000050428767,0.00015628309,0.000021040407,0.97644216,0.020216757,0.0011776303,0.0011499819,0.00001719251],"about_ca_topic_score_codex":0.0028315277,"about_ca_topic_score_gemma":0.0028471425,"teacher_disagreement_score":0.0028315277,"about_ca_system_score_codex":0.00032351667,"about_ca_system_score_gemma":0.0004025687,"threshold_uncertainty_score":0.005630076},"labels":[],"label_agreement":null},{"id":"W4411095518","doi":"10.1007/s11581-025-06454-3","title":"State of health estimation of lithium-ion batteries based on the fusion of aging feature extraction and SSA-ELM machine learning algorithms","year":2025,"lang":"en","type":"article","venue":"Ionics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University Natural Science Research Project of Anhui Province","keywords":"Extreme learning machine; Fusion; Lithium (medication); State of health; Computer science; Estimation; Feature extraction; State (computer science); Feature (linguistics); Algorithm; Extraction (chemistry); Artificial intelligence; Pattern recognition (psychology); Machine learning; Artificial neural network; Engineering; Battery (electricity); Power (physics); Chemistry; Physics; Chromatography; Medicine","score_opus":0.013494086962757095,"score_gpt":0.2938259188489443,"score_spread":0.2803318318861872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411095518","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38879582,0.0016269662,0.6052084,0.00015951686,0.00007090442,0.00004433067,0.00042333553,0.0015075324,0.0021632724],"genre_scores_gemma":[0.97983676,0.00022102425,0.018886944,0.000029189465,0.00002215887,0.000024589888,0.00028156565,0.00001735401,0.0006804382],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990153,0.000014038254,0.000012223615,0.000022693992,0.000036731173,0.000012701825],"domain_scores_gemma":[0.99974686,0.00008120383,0.00004090645,0.000017383647,0.00010628778,0.000007337508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037061883,0.00045382787,0.00049881084,0.0010620266,0.00014531768,0.00042481007,0.00030699055,0.00038499173,0.00057682145],"category_scores_gemma":[0.0008553769,0.00012285076,0.00035642742,0.00046136303,0.00014054791,0.0007286751,0.00027682667,0.00022579817,0.0002816047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005960364,0.00022296628,0.033928305,0.0002491464,0.00014456802,0.00023148415,0.00014368272,0.2541843,0.052356888,0.001395147,0.002102623,0.6544448],"study_design_scores_gemma":[0.000004841036,0.00005863967,0.007812995,0.000010481747,0.000023592122,0.000062263396,0.000019116982,0.9826004,0.008183546,0.0008502411,0.00036297852,0.000010818661],"about_ca_topic_score_codex":0.001231908,"about_ca_topic_score_gemma":0.0014859297,"teacher_disagreement_score":0.001231908,"about_ca_system_score_codex":0.00020407447,"about_ca_system_score_gemma":0.00018627105,"threshold_uncertainty_score":0.0024494529},"labels":[],"label_agreement":null},{"id":"W4411128161","doi":"10.1002/cjce.25767","title":"Influence of ambient temperature, discharge C‐rate, and convective heat transfer coefficient on thermal behaviour of lithium‐ion battery pack: A numerical study","year":2025,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Heat transfer coefficient; Battery pack; Materials science; Lithium (medication); Battery (electricity); Heat transfer; Convection; Thermal; Ion; Convective heat transfer; Thermodynamics; Chemistry; Physics; Medicine","score_opus":0.006086272122089989,"score_gpt":0.221634048275956,"score_spread":0.21554777615386603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411128161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864466,0.00023798186,0.008850498,0.000067504174,0.000023185712,0.00003031486,0.00015398137,0.000054877157,0.0041350634],"genre_scores_gemma":[0.9975961,0.000078115656,0.001777443,0.0000068162317,0.0000024880705,0.000018799876,0.000039987546,0.000005440534,0.00047482428],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998965,0.000023060844,0.0000072673583,0.000017287035,0.000034565972,0.000021295924],"domain_scores_gemma":[0.9994779,0.0003460928,0.000046818765,0.000028580349,0.00008426678,0.000016330843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029758256,0.00033768732,0.00044372282,0.00037659876,0.00044090796,0.0005631265,0.00046603597,0.00076885364,0.001301103],"category_scores_gemma":[0.0009940909,0.0002484105,0.00067583774,0.0004677748,0.0004942215,0.00044441957,0.00031934422,0.00036222607,0.000103856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015740363,0.00013557555,0.010799789,0.00017381736,0.000039904815,0.00030835098,0.00009227322,0.9597717,0.022261914,0.0008541674,0.00026754814,0.005137502],"study_design_scores_gemma":[0.000015268262,0.00007310979,0.0018763994,0.000007318537,0.000016548083,0.000021853932,0.000035648573,0.9944213,0.0032491877,0.0000962283,0.00017818832,0.000008879228],"about_ca_topic_score_codex":0.011039945,"about_ca_topic_score_gemma":0.005827265,"teacher_disagreement_score":0.011039945,"about_ca_system_score_codex":0.0004541873,"about_ca_system_score_gemma":0.00040674987,"threshold_uncertainty_score":0.021951377},"labels":[],"label_agreement":null},{"id":"W4411202467","doi":"10.11159/jffhmt.2025.024","title":"Numerical Investigation of Hybrid Immersion Cooling Strategies for Battery Packs in Light Electric Vehicles","year":2025,"lang":"en","type":"article","venue":"Journal of Fluid Flow Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Immersion (mathematics); Automotive engineering; Battery (electricity); Electric cars; Environmental science; Engineering; Computer science; Physics; Mathematics; Power (physics)","score_opus":0.010652459771000595,"score_gpt":0.24379069925408875,"score_spread":0.23313823948308815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411202467","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8659802,0.0008314673,0.10944068,0.00044777128,0.00011364176,0.00015265332,0.00033257485,0.0003354474,0.02236561],"genre_scores_gemma":[0.98535186,0.00015287528,0.01079544,0.00003139657,0.000007845827,0.00006654556,0.00009676294,0.000030228763,0.0034669514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998964,0.000019672158,0.000003932548,0.000015613019,0.000028901613,0.00003548557],"domain_scores_gemma":[0.99981195,0.000092490576,0.000025319445,0.000008682436,0.00003944496,0.000022182669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002345505,0.00043036856,0.0005358413,0.00037668116,0.00045749205,0.0008550892,0.000603301,0.0010263924,0.0024187798],"category_scores_gemma":[0.0007089978,0.0002974785,0.0005571035,0.00023847734,0.00053585385,0.0005381102,0.0005792243,0.00041371226,0.0002109279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075347714,0.00005585564,0.0019956962,0.000075818985,0.000012192309,0.00012212787,0.000048996408,0.9854864,0.006659176,0.0009829543,0.00029244277,0.0041929623],"study_design_scores_gemma":[0.000008072417,0.000036393652,0.00022891139,0.000004444598,0.000003779816,0.000010395123,0.000032844015,0.99834096,0.00089808396,0.00013606793,0.00029634297,0.0000037839168],"about_ca_topic_score_codex":0.0108434865,"about_ca_topic_score_gemma":0.008027448,"teacher_disagreement_score":0.0108434865,"about_ca_system_score_codex":0.0006203954,"about_ca_system_score_gemma":0.0008757113,"threshold_uncertainty_score":0.021560729},"labels":[],"label_agreement":null},{"id":"W4411213825","doi":"10.1007/s44373-025-00036-8","title":"Systematic refinement of experimental practices to improve repeatability in flow battery cycling","year":2025,"lang":"en","type":"article","venue":"Discover Electrochemistry.","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University Belfast; Royal Society; Invest Northern Ireland; Queen's University; Department for Employment and Learning, Northern Ireland; Shell Global Solutions International; Shell; Alfred P. Sloan Foundation; National Science Foundation","keywords":"Cycling; Repeatability; Battery (electricity); Reliability engineering; Environmental science; Computer science; Engineering; Mathematics; Thermodynamics; Statistics; Physics","score_opus":0.007842036887248325,"score_gpt":0.30012971760408663,"score_spread":0.2922876807168383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411213825","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"reproducibility","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"reproducibility","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16957659,0.007108017,0.7881508,0.0016079999,0.0019602322,0.017475333,0.002139601,0.0037271166,0.00825435],"genre_scores_gemma":[0.19437318,0.0053736046,0.7759089,0.0009434267,0.0003091532,0.014397717,0.0026296687,0.0016145477,0.00444992],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9681082,0.010260689,0.004838692,0.003968105,0.011759445,0.0010649001],"domain_scores_gemma":[0.9416336,0.0181539,0.0031557707,0.013414821,0.023127537,0.0005144187],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.057977982,0.0018041701,0.0018666745,0.0037352976,0.0025841566,0.002758673,0.0035390684,0.002072186,0.0039037091],"category_scores_gemma":[0.08559958,0.0011643243,0.0014976078,0.0019513838,0.0027157227,0.0029980538,0.003465694,0.0025824795,0.002621112],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077200774,0.0012844146,0.007266479,0.00544225,0.00024784444,0.00060950685,0.0042040953,0.005176102,0.75716865,0.00745386,0.0049515637,0.20542316],"study_design_scores_gemma":[0.00011888971,0.0035429571,0.011718774,0.0016764562,0.0003668258,0.00076687365,0.0012174933,0.008145678,0.8915536,0.0062358216,0.07427435,0.0003822996],"about_ca_topic_score_codex":0.0018361554,"about_ca_topic_score_gemma":0.004442296,"teacher_disagreement_score":0.942022,"about_ca_system_score_codex":0.0009710796,"about_ca_system_score_gemma":0.0035591507,"threshold_uncertainty_score":0.3066206},"labels":[],"label_agreement":null},{"id":"W4411227509","doi":"10.1016/j.mtener.2025.101945","title":"Should EVs prioritize range? Strategies for efficient battery use, energy transition, and sustainability","year":2025,"lang":"en","type":"article","venue":"Materials Today Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Optech (Canada)","funders":"NextGenerationEU; H2020 Marie Skłodowska-Curie Actions; Agencia Estatal de Investigación; Fundação para a Ciência e a Tecnologia; Ministerio de Ciencia e Innovación; National Natural Science Foundation of China; European Commission","keywords":"Materials science; Sustainability; Range (aeronautics); Battery (electricity); Energy (signal processing); Environmental economics; Engineering physics; Engineering; Thermodynamics; Physics; Economics; Composite material","score_opus":0.014219590339355796,"score_gpt":0.26551537437092365,"score_spread":0.2512957840315679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411227509","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09849298,0.03901927,0.05612778,0.3554681,0.0051189824,0.000286275,0.00061633135,0.0010124996,0.4438579],"genre_scores_gemma":[0.8780431,0.01872247,0.018009152,0.029105343,0.0014416645,0.00017880177,0.0003736602,0.00027647943,0.05384927],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976158,0.00075488444,0.00009442506,0.00024147354,0.0006494875,0.00064400496],"domain_scores_gemma":[0.9964876,0.00087690225,0.00029753763,0.00020981334,0.0015422938,0.0005858022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005646828,0.00063388527,0.00057025754,0.0011716422,0.0013403319,0.006863485,0.001906964,0.0026198693,0.013729434],"category_scores_gemma":[0.009462131,0.00021265526,0.0003453936,0.00092743617,0.0020914197,0.009611776,0.003820647,0.0025536548,0.0049330117],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067690003,0.00047852544,0.01521426,0.0015165115,0.00011262649,0.00060582557,0.002331185,0.0058479304,0.009605855,0.33343235,0.13096204,0.499216],"study_design_scores_gemma":[0.00007625856,0.00048931426,0.006493966,0.0020267149,0.000107207576,0.0010148293,0.016198453,0.0042007226,0.0072526066,0.24547423,0.7165696,0.00009617131],"about_ca_topic_score_codex":0.0039800294,"about_ca_topic_score_gemma":0.010587663,"teacher_disagreement_score":0.013729434,"about_ca_system_score_codex":0.001619446,"about_ca_system_score_gemma":0.004989776,"threshold_uncertainty_score":0.04592949},"labels":[],"label_agreement":null},{"id":"W4411406661","doi":"10.1109/access.2025.3580552","title":"State of Charge Estimation for Li-Ion Batteries: An Edge-Based Data-Driven Approach","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"State of charge; Ion; Computer science; State (computer science); Enhanced Data Rates for GSM Evolution; Estimation; Charge (physics); Algorithm; Physics; Artificial intelligence; Engineering; Battery (electricity)","score_opus":0.06638283287478601,"score_gpt":0.36329541761119544,"score_spread":0.2969125847364094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411406661","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20909825,0.00069084263,0.78233,0.00030372228,0.000066707034,0.00009764139,0.0010110477,0.0021876493,0.004214143],"genre_scores_gemma":[0.95158446,0.00022200451,0.045910772,0.000072746785,0.000026822523,0.00007470282,0.00089612394,0.00005093395,0.0011615322],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998741,0.000017381004,0.00001151339,0.000035135246,0.000049317165,0.000012495962],"domain_scores_gemma":[0.9995974,0.00012762469,0.000051101582,0.000036759557,0.0001755489,0.000011581919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002127082,0.00048018165,0.00038636752,0.00069841405,0.00019052047,0.0006584749,0.0007108021,0.00044813083,0.00086524815],"category_scores_gemma":[0.0014312187,0.00019988877,0.0003594603,0.00053608656,0.00014722989,0.00077007845,0.000392667,0.0004106772,0.0002934864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035137922,0.00014757445,0.0133066615,0.00033211662,0.00007642712,0.00033433095,0.00018432668,0.66473526,0.02945343,0.0031323894,0.0021275855,0.28581855],"study_design_scores_gemma":[0.0000020136094,0.000019761877,0.0010313172,0.0000063541383,0.0000047035587,0.000028178698,0.000014526179,0.9927308,0.0050086537,0.00075068313,0.00039709752,0.000005981116],"about_ca_topic_score_codex":0.0033339458,"about_ca_topic_score_gemma":0.0043424354,"teacher_disagreement_score":0.0033339458,"about_ca_system_score_codex":0.0003643892,"about_ca_system_score_gemma":0.00031764805,"threshold_uncertainty_score":0.0066291094},"labels":[],"label_agreement":null},{"id":"W4411536631","doi":"10.1021/acsenergylett.5c01167","title":"Quantitatively Mapping Inhomogeneous State of Charge in a Commercial Lithium-Ion Pouch Cell via Energy-Resolved Neutron Imaging","year":2025,"lang":"en","type":"article","venue":"ACS Energy Letters","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nexen (Canada)","funders":"High Energy Physics; Shenzhen Research Institute, City University of Hong Kong; City University of Hong Kong; Science, Technology and Innovation Commission of Shenzhen Municipality; Institute of High Energy Physics; Shanghai Jiao Tong University; Research Grants Council, University Grants Committee; Chinese Academy of Sciences","keywords":"Lithium (medication); Ion; Neutron imaging; Materials science; Neutron; Pouch; Charge (physics); Radiochemistry; Chemistry; Atomic physics; Analytical Chemistry (journal); Nuclear physics; Physics; Geology","score_opus":0.009692316802812321,"score_gpt":0.23233429249185342,"score_spread":0.2226419756890411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411536631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99651635,0.00009878931,0.002617715,0.000028421895,0.0000064508476,0.0000056203135,0.000096497824,0.000043948963,0.00058624166],"genre_scores_gemma":[0.9957443,0.00012207105,0.0035129136,0.000016292232,0.0000019717838,0.000008504044,0.00010298548,0.0000107772585,0.00048018945],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999404,0.0000046084137,0.0000037548912,0.000013796391,0.000026668593,0.0000106264015],"domain_scores_gemma":[0.9998677,0.000044375196,0.000025994548,0.000013337834,0.00003624203,0.00001234645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002057844,0.00016133691,0.00015005644,0.00020475178,0.000160135,0.0003139533,0.0002231377,0.0003635074,0.00079198455],"category_scores_gemma":[0.00029337395,0.00010272704,0.00008779805,0.00030557375,0.00025118966,0.0002900787,0.0001556356,0.00018193743,0.00009419016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001777606,0.000030931667,0.0022652396,0.000041184307,0.000005340994,0.0001804088,0.000057412228,0.0022656748,0.99071443,0.00023596956,0.00008857039,0.003937132],"study_design_scores_gemma":[0.00001549549,0.0003176264,0.019571083,0.000011044197,0.0000143786,0.00023056542,0.00017223964,0.054905716,0.9233624,0.00025571234,0.0011184682,0.000025263354],"about_ca_topic_score_codex":0.0009631541,"about_ca_topic_score_gemma":0.0020744987,"teacher_disagreement_score":0.0009631541,"about_ca_system_score_codex":0.0002648101,"about_ca_system_score_gemma":0.00013821757,"threshold_uncertainty_score":0.002649486},"labels":[],"label_agreement":null},{"id":"W4411544304","doi":"10.1016/j.jpowsour.2025.237697","title":"Analysis of ejecta ignition and velocity from 18650 Li-ion battery cells during thermal runaway","year":2025,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Global Collaborative Research, King Abdullah University of Science and Technology; King Abdullah University of Science and Technology","keywords":"Thermal runaway; Ignition system; Ejecta; Battery (electricity); Nuclear engineering; Materials science; Thermal; Ion; Mechanics; Chemistry; Thermodynamics; Physics; Engineering","score_opus":0.0058133277161854565,"score_gpt":0.22810992234534574,"score_spread":0.2222965946291603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411544304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99842715,0.00009451528,0.00078284176,0.000007660458,0.000002274036,0.0000055701535,0.00015484999,0.000046791938,0.00047846313],"genre_scores_gemma":[0.99787843,0.00009756663,0.00087674835,0.000010815004,0.0000018782891,0.000007187855,0.00034680223,0.000021566475,0.0007588946],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99993837,0.0000022006893,0.0000026889763,0.000012208524,0.000030812116,0.000013770835],"domain_scores_gemma":[0.99989915,0.00002037619,0.000022459535,0.000007789787,0.000034182158,0.000015999098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009979956,0.00016852286,0.00017988437,0.0005749681,0.00020278034,0.0003294726,0.00021320769,0.00019625205,0.00090876454],"category_scores_gemma":[0.00017731602,0.00009342802,0.00015347573,0.00035610984,0.00017740937,0.0002448152,0.00022271897,0.0002685133,0.00019755613],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040543472,0.000047913345,0.035656776,0.00008767371,0.000020988218,0.000438845,0.00030793966,0.0015333724,0.9444012,0.00012760756,0.0001950372,0.01677722],"study_design_scores_gemma":[0.00000979235,0.00032860663,0.36733413,0.0000150637225,0.000032834676,0.00039073647,0.00079507264,0.014194625,0.61530405,0.00007024673,0.0014946511,0.000030057667],"about_ca_topic_score_codex":0.0023593577,"about_ca_topic_score_gemma":0.0028613599,"teacher_disagreement_score":0.0023593577,"about_ca_system_score_codex":0.00028583469,"about_ca_system_score_gemma":0.0001030627,"threshold_uncertainty_score":0.0046911836},"labels":[],"label_agreement":null},{"id":"W4411604306","doi":"10.1016/j.energ.2025.100032","title":"Reinforcement learning for charging infrastructure planning and scheduling problems in battery electric bus system: A literature review","year":2025,"lang":"en","type":"review","venue":"Energy 360.","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Tsinghua University","keywords":"Reinforcement learning; Scheduling (production processes); Computer science; Battery (electricity); Operations research; Engineering; Operations management; Artificial intelligence","score_opus":0.013526290285958326,"score_gpt":0.2842849751031239,"score_spread":0.2707586848171656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411604306","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011671442,0.9887206,0.0070314365,0.00036412102,0.00012797189,0.000016487129,0.000036524823,0.000031778258,0.0025039557],"genre_scores_gemma":[0.017113918,0.97652835,0.004826813,0.00012682851,0.0003012115,0.000027301234,0.00009950366,0.000009117859,0.0009668385],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99978477,0.000048063972,0.000026350197,0.00005678896,0.0000660758,0.000018035715],"domain_scores_gemma":[0.9990971,0.00068956753,0.000053224827,0.000015674299,0.00012433298,0.000020092635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006064819,0.0008831241,0.0010479984,0.0009561513,0.0002052561,0.0009285167,0.0009601301,0.00083324977,0.0028132494],"category_scores_gemma":[0.0017085383,0.00034343763,0.00072493526,0.0022602172,0.00026318812,0.0010250009,0.0004498668,0.0007282766,0.00063918746],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006373177,0.00012810974,0.0005015374,0.017774366,0.00019563785,0.00009252194,0.00005653747,0.023125272,0.00051925384,0.0051319017,0.0105218785,0.94188935],"study_design_scores_gemma":[0.00018107503,0.0011383903,0.007919974,0.029306546,0.002316777,0.001884006,0.0006928214,0.15924302,0.0036139793,0.049326655,0.7441291,0.0002477078],"about_ca_topic_score_codex":0.0037592743,"about_ca_topic_score_gemma":0.0036990703,"teacher_disagreement_score":0.0037592743,"about_ca_system_score_codex":0.00045092448,"about_ca_system_score_gemma":0.0011964473,"threshold_uncertainty_score":0.009411275},"labels":[],"label_agreement":null},{"id":"W4411690782","doi":"10.3390/en18133370","title":"A Method for Predicting the Remaining Life of Lithium-Ion Batteries Based on an Improved Dempster–Shafer Evidence Theory Framework","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Dempster–Shafer theory; Lithium (medication); Ion; Computer science; Artificial intelligence; Chemistry; Psychology; Psychiatry","score_opus":0.025951391297390745,"score_gpt":0.3349474783590173,"score_spread":0.3089960870616265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411690782","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00826339,0.00045346082,0.9901696,0.00010391404,0.00003793255,0.000024379406,0.000047501413,0.00016871176,0.00073112623],"genre_scores_gemma":[0.7510296,0.0015305673,0.24395241,0.00013781714,0.00015003215,0.00015049487,0.0003336655,0.000041206273,0.002674198],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956554,0.000060102946,0.000042787975,0.00009859275,0.00020095665,0.000032031556],"domain_scores_gemma":[0.9989956,0.0004769346,0.00012551439,0.000051100047,0.00032254853,0.000028354092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008516285,0.0008166513,0.00091849244,0.0017835618,0.00031926905,0.0008095993,0.0011753422,0.0009944902,0.00096646283],"category_scores_gemma":[0.0036261345,0.00033204159,0.0008159886,0.0009129442,0.0004774832,0.0017024518,0.0006923533,0.0010435744,0.0002314056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011959426,0.00006784311,0.0043613776,0.00022662754,0.00012994952,0.0002870558,0.00008809896,0.6844869,0.006306558,0.014342822,0.001610538,0.28797266],"study_design_scores_gemma":[0.0000039711895,0.000015188438,0.00033339477,0.000008810603,0.0000117713635,0.000037161262,0.000004406728,0.9965559,0.0008526838,0.0018712527,0.00029663037,0.000008885839],"about_ca_topic_score_codex":0.0061248476,"about_ca_topic_score_gemma":0.0046482948,"teacher_disagreement_score":0.0061248476,"about_ca_system_score_codex":0.00069978216,"about_ca_system_score_gemma":0.00096670317,"threshold_uncertainty_score":0.012178421},"labels":[],"label_agreement":null},{"id":"W4411832167","doi":"10.1002/ente.202500651","title":"Deep Learning‐Based Surrogate Model for Lithium‐Ion Battery Behavior Prediction with Extreme Fast Charging Case Study","year":2025,"lang":"en","type":"article","venue":"Energy Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Battery (electricity); Lithium (medication); Lithium-ion battery; Artificial intelligence; Surrogate model; Deep learning; Computer science; Reliability engineering; Materials science; Machine learning; Psychology; Engineering; Physics; Thermodynamics; Power (physics)","score_opus":0.02036401867971105,"score_gpt":0.26280542290668474,"score_spread":0.2424414042269737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411832167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6571817,0.00083713327,0.32477292,0.0010526363,0.000088392204,0.000092600065,0.0012839073,0.00070374494,0.013987028],"genre_scores_gemma":[0.99208343,0.00007797718,0.005923034,0.000032817145,0.0000048770567,0.000037853046,0.00026690649,0.000010496305,0.0015626701],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989164,0.000026072461,0.000007895468,0.000020455005,0.00003055342,0.00002347832],"domain_scores_gemma":[0.9996381,0.00017810312,0.000033848268,0.000030129977,0.00009753272,0.000022371936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042201258,0.00044717838,0.00050567824,0.0002914248,0.00020656719,0.0005359128,0.00074340956,0.0009061594,0.0013686802],"category_scores_gemma":[0.0013420614,0.00019011924,0.00044509876,0.00028888698,0.00039150604,0.00047324222,0.00053351076,0.00077675475,0.00014782634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022442118,0.000011668461,0.0005198313,0.000012229702,0.0000048819375,0.000040130948,0.000005504626,0.99639857,0.00030703878,0.0006857746,0.00015177476,0.001840059],"study_design_scores_gemma":[0.0000017350981,0.0000070935303,0.00007458964,0.0000010043183,8.409291e-7,0.00000353771,0.0000018149887,0.99939525,0.00017923798,0.00028158614,0.000052102263,0.0000011665862],"about_ca_topic_score_codex":0.010964628,"about_ca_topic_score_gemma":0.0068485113,"teacher_disagreement_score":0.010964628,"about_ca_system_score_codex":0.0006222602,"about_ca_system_score_gemma":0.0006568131,"threshold_uncertainty_score":0.02180165},"labels":[],"label_agreement":null},{"id":"W4411874622","doi":"10.1038/s41467-025-60711-7","title":"The urgent electrolyte sustainability challenges for electric vehicle batteries","year":2025,"lang":"en","type":"review","venue":"Nature Communications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Université de Montréal; European Commission; Vidyasirimedhi Institute of Science and Technology","keywords":"Sustainability; Electric vehicle; Electrolyte; Business; Computer science; Chemistry; Biology; Physics; Ecology","score_opus":0.03738573460281242,"score_gpt":0.37496919215242364,"score_spread":0.3375834575496112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411874622","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004140417,0.9915665,0.00040877663,0.002490041,0.0007176959,0.0000027575309,0.000018977995,0.000011099144,0.0043700854],"genre_scores_gemma":[0.0031737788,0.9922072,0.00027393101,0.0010167721,0.00045476962,0.000004925682,0.000027095544,0.000003742554,0.0028376624],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999778,0.000029528273,0.00001981257,0.000028882705,0.00011257539,0.000031247408],"domain_scores_gemma":[0.99974793,0.00009451873,0.000025420768,0.000010506697,0.00009921247,0.00002253395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007689632,0.00059911143,0.00055511104,0.0010403775,0.00040532276,0.0016475228,0.00071593554,0.0016196596,0.0045319865],"category_scores_gemma":[0.000673315,0.00021618675,0.00033942555,0.0014619993,0.00062332145,0.0037500337,0.0009914024,0.0021210457,0.002001698],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000431782,0.00006070733,0.00014539257,0.013785672,0.00003908116,0.00043537043,0.00026850906,0.0007087568,0.007242237,0.08239408,0.06028875,0.8345883],"study_design_scores_gemma":[0.0000023200732,0.00002268447,0.00010162984,0.0012939133,0.000013071595,0.0003346443,0.00015219695,0.000051154086,0.0005305533,0.00794373,0.98954797,0.0000061386627],"about_ca_topic_score_codex":0.0010132992,"about_ca_topic_score_gemma":0.0019703393,"teacher_disagreement_score":0.0045319865,"about_ca_system_score_codex":0.0008640066,"about_ca_system_score_gemma":0.0016901185,"threshold_uncertainty_score":0.015160978},"labels":[],"label_agreement":null},{"id":"W4411878123","doi":"10.3390/app15137378","title":"A Similarity-Based Approach for Diagnosing the Aging of Lithium-Ion Batteries in Second Life Combining Time Series and Machine Learning","year":2025,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ford Motor Company","keywords":"Computer science; USable; Similarity (geometry); Process (computing); Artificial intelligence; Degradation (telecommunications); Machine learning","score_opus":0.020095924144120137,"score_gpt":0.2589510783722177,"score_spread":0.23885515422809755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411878123","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0905631,0.0006037028,0.9063228,0.0001835341,0.00006081339,0.000088329936,0.00017273113,0.0005735503,0.0014313818],"genre_scores_gemma":[0.90300727,0.00037624864,0.09483111,0.00008148969,0.00009235542,0.00008784221,0.00031749587,0.000046833004,0.0011594039],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994678,0.00008405516,0.000065187305,0.00015506845,0.00018337427,0.000044518023],"domain_scores_gemma":[0.998936,0.00035863428,0.00027263025,0.00008848899,0.0002899669,0.00005434031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008666497,0.0008561311,0.0009612528,0.002408024,0.00031843732,0.0008549935,0.00095280795,0.0012649255,0.0005805643],"category_scores_gemma":[0.0028489274,0.0002316387,0.000883835,0.0012096749,0.00040031047,0.0013150626,0.0005964621,0.000716655,0.0002914098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029574952,0.00040263074,0.0166231,0.00031373726,0.00020477787,0.00043130032,0.00024776423,0.6675026,0.031117538,0.0063690133,0.0013187566,0.27517295],"study_design_scores_gemma":[0.0000023822988,0.00005215957,0.0017401793,0.000005470899,0.000014712351,0.000066066415,0.0000195042,0.99377704,0.0022891194,0.0017175134,0.00030415165,0.000011729598],"about_ca_topic_score_codex":0.002186444,"about_ca_topic_score_gemma":0.0017426717,"teacher_disagreement_score":0.002408024,"about_ca_system_score_codex":0.0004992982,"about_ca_system_score_gemma":0.00043024812,"threshold_uncertainty_score":0.0045833588},"labels":[],"label_agreement":null},{"id":"W4411987938","doi":"10.1016/j.energy.2025.137135","title":"Public transportation fleet electrification and charger schedule optimization using a decomposition heuristic","year":2025,"lang":"en","type":"article","venue":"Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Electrification; Schedule; Decomposition; Heuristic; Public transport; Computer science; Transport engineering; Engineering; Automotive engineering; Environmental science; Electricity; Electrical engineering; Chemistry; Artificial intelligence","score_opus":0.018873469462054263,"score_gpt":0.2688062074526063,"score_spread":0.24993273799055205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411987938","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14903836,0.0005348441,0.8029847,0.000732908,0.0002271083,0.00038661913,0.0007349424,0.0006359556,0.04472448],"genre_scores_gemma":[0.735344,0.00040122843,0.24520847,0.00019612478,0.000098005126,0.0005028989,0.00060001254,0.0002509606,0.01739834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995615,0.00019532439,0.000009642467,0.00005072008,0.000060847375,0.00012193878],"domain_scores_gemma":[0.9993724,0.00043167343,0.000043446966,0.000027784745,0.00006103571,0.00006366819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095169607,0.0012594153,0.0015107004,0.0014477175,0.00075346016,0.0014894762,0.0009949242,0.0017609986,0.0093128765],"category_scores_gemma":[0.0017071066,0.0009732887,0.0016247242,0.0017073471,0.0006109934,0.0011550423,0.0010299667,0.0012015662,0.00049494137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005399592,0.00005710518,0.00013633759,0.000028420682,0.00002497802,0.000044562123,0.000017101585,0.9864879,0.00035238636,0.0031996742,0.001022808,0.008574686],"study_design_scores_gemma":[0.000017971632,0.000024989124,0.00007228022,0.000005918327,0.000009945571,0.000007132993,0.000019748879,0.9980221,0.00013016636,0.0013443852,0.0003423448,0.0000030410426],"about_ca_topic_score_codex":0.018067338,"about_ca_topic_score_gemma":0.014998078,"teacher_disagreement_score":0.018067338,"about_ca_system_score_codex":0.0019964864,"about_ca_system_score_gemma":0.0024882085,"threshold_uncertainty_score":0.035924315},"labels":[],"label_agreement":null},{"id":"W4412055446","doi":"10.1016/j.ensm.2025.104410","title":"Smart sensing breaks the accuracy barrier in battery state monitoring","year":2025,"lang":"en","type":"article","venue":"Energy storage materials","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Vetenskapsrådet; Fondation Chalmers; VINNOVA","keywords":"Materials science; Battery (electricity); State (computer science); Engineering physics; Nanotechnology; Optoelectronics; Computer science; Engineering; Thermodynamics; Power (physics)","score_opus":0.010742576186505995,"score_gpt":0.2558504837206409,"score_spread":0.24510790753413492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412055446","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33289346,0.00182266,0.6534029,0.0016848957,0.00021463947,0.00010144015,0.0015712669,0.0014336924,0.0068750395],"genre_scores_gemma":[0.93755895,0.0005202665,0.060149834,0.000193645,0.00006195124,0.00007470451,0.00081246777,0.00006807894,0.000560161],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992091,0.00020902841,0.00004949887,0.00017984268,0.000302818,0.000049753824],"domain_scores_gemma":[0.998285,0.0007978575,0.00019042018,0.00045805323,0.00024269601,0.000026002455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010801783,0.00075695745,0.0005174517,0.00055205205,0.00027509258,0.00085525785,0.0007674324,0.0008584097,0.00053762726],"category_scores_gemma":[0.004748268,0.00021693669,0.00037200324,0.0006004285,0.0007449094,0.001460895,0.00087906956,0.00096097845,0.00022953692],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005801032,0.00028287643,0.03579836,0.0007695665,0.00023737799,0.00030487217,0.00041536425,0.4919314,0.09295679,0.023908861,0.004943901,0.3478706],"study_design_scores_gemma":[0.00003127015,0.00018328149,0.016921896,0.000074715324,0.000045991244,0.00023198643,0.00017068879,0.89201444,0.056242477,0.026412591,0.007605136,0.000065544584],"about_ca_topic_score_codex":0.001482133,"about_ca_topic_score_gemma":0.0025543447,"teacher_disagreement_score":0.001482133,"about_ca_system_score_codex":0.00032345808,"about_ca_system_score_gemma":0.00036728953,"threshold_uncertainty_score":0.0057126284},"labels":[],"label_agreement":null},{"id":"W4412067180","doi":"10.1016/j.fub.2025.100090","title":"Understanding property variability of lithium-ion cells in multi-cell battery packs","year":2025,"lang":"en","type":"article","venue":"Future Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"NGC Aerospace (Canada); Université de Sherbrooke","funders":"Mitacs; Canada Research Chairs","keywords":"Property (philosophy); Lithium (medication); Battery (electricity); Lithium-ion battery; Ion; Materials science; Computer science; Engineering physics; Chemistry; Engineering; Physics; Medicine; Internal medicine; Thermodynamics; Philosophy","score_opus":0.036317265035360154,"score_gpt":0.2593501385174481,"score_spread":0.22303287348208795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412067180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9012991,0.00048324466,0.095466845,0.00012965356,0.00001927207,0.000019478131,0.00018987269,0.00021773372,0.0021749071],"genre_scores_gemma":[0.9977544,0.00009945972,0.0017942756,0.000010743258,0.0000039423685,0.00000760865,0.0000661004,0.000018054687,0.00024547128],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99989545,0.0000142060035,0.000005517195,0.000033224554,0.00003822147,0.000013414503],"domain_scores_gemma":[0.9996393,0.00015767784,0.000065605585,0.00006558788,0.000059335085,0.000012431938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022326964,0.00019584119,0.00028919862,0.0002755204,0.00015871806,0.0004516474,0.00044520528,0.00033390848,0.0004545494],"category_scores_gemma":[0.0011056261,0.00017331925,0.0002818693,0.00033441788,0.00024175338,0.0011216935,0.00025125936,0.0003281901,0.000121473415],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081346516,0.00009614075,0.015278679,0.00007107285,0.000045145298,0.00020473423,0.00009665797,0.8798393,0.08807568,0.0022630547,0.00022999402,0.01371819],"study_design_scores_gemma":[0.0000017084899,0.000032210628,0.003947705,0.0000023020257,0.000007689316,0.000042447533,0.00001287799,0.9855936,0.009173098,0.0009161609,0.00026292694,0.000007174028],"about_ca_topic_score_codex":0.0011746252,"about_ca_topic_score_gemma":0.0011361939,"teacher_disagreement_score":0.0011746252,"about_ca_system_score_codex":0.0003866374,"about_ca_system_score_gemma":0.00018044423,"threshold_uncertainty_score":0.0028052926},"labels":[],"label_agreement":null},{"id":"W4412107909","doi":"10.1016/j.jpowsour.2025.237845","title":"Rapid sorting of retired lithium-ion batteries using novel sorting feature extraction and a two-step classification method","year":2025,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Youth Innovation Promotion Association; Youth Innovation Promotion Association of the Chinese Academy of Sciences; Canadian Anesthesiologists' Society","keywords":"Sorting; Lithium (medication); Extraction (chemistry); Feature (linguistics); Computer science; Feature extraction; Pattern recognition (psychology); Ion; Artificial intelligence; Chemistry; Chromatography; Algorithm; Biology","score_opus":0.03459677385574682,"score_gpt":0.3397691481275346,"score_spread":0.3051723742717878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412107909","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14694113,0.0008185712,0.8443047,0.0002121363,0.00023413706,0.00018689175,0.00027425002,0.004085598,0.0029425244],"genre_scores_gemma":[0.5505616,0.0004321967,0.43848017,0.00020595801,0.000076544544,0.00016345456,0.0007066765,0.00016931226,0.00920418],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977666,0.000011422091,0.00002219958,0.00003547205,0.00012031301,0.000034005887],"domain_scores_gemma":[0.99957234,0.0000878042,0.000043359247,0.00003794328,0.00023962167,0.000018900208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000247679,0.000634311,0.00065301347,0.0012823897,0.00044399692,0.00070673216,0.000711109,0.00047491948,0.0017606466],"category_scores_gemma":[0.000583675,0.00026202737,0.00032787205,0.000825451,0.00017296034,0.00079410855,0.000452651,0.000414738,0.00088564836],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048275202,0.00015196486,0.002675347,0.0001826215,0.000026284542,0.00014554497,0.000097147844,0.0046133124,0.27585015,0.0009462404,0.0031098311,0.7117189],"study_design_scores_gemma":[0.00006859047,0.00060234906,0.015568991,0.00003405235,0.00009347716,0.00073167734,0.00022345936,0.5561798,0.4115772,0.0019558985,0.012854433,0.0001099949],"about_ca_topic_score_codex":0.0019738344,"about_ca_topic_score_gemma":0.0046449336,"teacher_disagreement_score":0.0019738344,"about_ca_system_score_codex":0.0003292685,"about_ca_system_score_gemma":0.00067379937,"threshold_uncertainty_score":0.0058898926},"labels":[],"label_agreement":null},{"id":"W4412130279","doi":"10.1109/gpecom65896.2025.11061982","title":"Enchancing SOC Estimation Hybrid RNN Models for Li-Ion Batteries Under Various Temperatures","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Ion; Chemistry","score_opus":0.01566642529782718,"score_gpt":0.27749162553580986,"score_spread":0.26182520023798267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412130279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5661413,0.001408936,0.42213324,0.00026698151,0.00014169676,0.00007159713,0.00051685947,0.0014268687,0.007892474],"genre_scores_gemma":[0.9865404,0.00012754292,0.011315303,0.00003142527,0.0000072774096,0.000049110506,0.00017129419,0.000022354561,0.0017353911],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991894,0.00001567064,0.0000058810647,0.00003027626,0.000015003767,0.000014218264],"domain_scores_gemma":[0.9998029,0.00008089841,0.000022519289,0.000014923571,0.00007299333,0.0000058744517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031271865,0.00081299385,0.00038403575,0.0002678641,0.00018325105,0.00042511677,0.0007098652,0.00048808576,0.0010955407],"category_scores_gemma":[0.0007308327,0.00022649333,0.00048582803,0.00024148685,0.00019320562,0.00051381736,0.00032176153,0.00046740667,0.00022912191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050371706,0.000018642228,0.0007199759,0.000037864644,0.000027832306,0.000034571996,0.000023694434,0.9797759,0.0022481906,0.00033291985,0.00018951163,0.016540458],"study_design_scores_gemma":[9.4548966e-7,0.000009712924,0.00013274621,0.000001859935,0.0000036667225,0.0000030654264,0.0000025388886,0.99917847,0.00049260724,0.00013071236,0.000041818956,0.0000018281384],"about_ca_topic_score_codex":0.013581206,"about_ca_topic_score_gemma":0.017733209,"teacher_disagreement_score":0.013581206,"about_ca_system_score_codex":0.00049566117,"about_ca_system_score_gemma":0.00039411752,"threshold_uncertainty_score":0.027004302},"labels":[],"label_agreement":null},{"id":"W4412198943","doi":"10.3390/su17146307","title":"Supporting Sustainable Development Goals with Second-Life Electric Vehicle Battery: A Case Study","year":2025,"lang":"en","type":"article","venue":"Sustainability","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Sustainable development; Electric vehicle; Development (topology); Engineering; Automotive engineering; Business; Political science","score_opus":0.0073210751813485506,"score_gpt":0.2936718234917632,"score_spread":0.2863507483104146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412198943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9556608,0.00027284015,0.013264397,0.00093365146,0.000052960626,0.00025865462,0.00084047066,0.00014666583,0.0285695],"genre_scores_gemma":[0.9856639,0.00027634238,0.007943438,0.00004473375,0.000007731558,0.000082350096,0.0002405864,0.000021920865,0.005718973],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99961984,0.00015137138,0.000011595033,0.000031238233,0.00009683131,0.00008912083],"domain_scores_gemma":[0.99940586,0.0002901783,0.000037599148,0.00006087191,0.00011269415,0.00009271206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006490713,0.00055033487,0.00030267314,0.00044728775,0.0009123412,0.0010286787,0.0009896514,0.0013326203,0.0028043853],"category_scores_gemma":[0.0009281797,0.00019828363,0.0005176471,0.00088251015,0.00061794196,0.0011769717,0.0007746923,0.0008083678,0.00035920957],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083500834,0.0021388547,0.022696272,0.0006367192,0.00013809228,0.015163355,0.00097641815,0.8464049,0.008776274,0.03819872,0.0114352135,0.052600138],"study_design_scores_gemma":[0.0006578118,0.0019745405,0.014988478,0.00013341164,0.00018550904,0.0028874178,0.009186491,0.8504556,0.038230225,0.021695586,0.05947093,0.00013407042],"about_ca_topic_score_codex":0.017209526,"about_ca_topic_score_gemma":0.030156188,"teacher_disagreement_score":0.017209526,"about_ca_system_score_codex":0.0013039886,"about_ca_system_score_gemma":0.0010901843,"threshold_uncertainty_score":0.03421873},"labels":[],"label_agreement":null},{"id":"W4412431262","doi":"10.1016/j.apenergy.2025.126443","title":"A high-fidelity online monitoring algorithm for multiple physical fields in battery pack","year":2025,"lang":"en","type":"article","venue":"Applied Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; Ministry of Science and Technology of the People's Republic of China; Chongqing Science and Technology Commission; National Natural Science Foundation of China","keywords":"Battery pack; Battery (electricity); Fidelity; Computer science; Algorithm; Engineering; Simulation; Telecommunications; Physics","score_opus":0.014129987435549149,"score_gpt":0.2755755755587669,"score_spread":0.2614455881232177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412431262","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008019029,0.0000677336,0.99057734,0.00004332822,0.00003101833,0.000029859952,0.000030110512,0.0006039106,0.0005976312],"genre_scores_gemma":[0.317156,0.00014819212,0.6787527,0.00010655206,0.000050359573,0.00015253418,0.00019255336,0.00012108651,0.0033199543],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997807,0.000022765556,0.000013088951,0.0000622769,0.000102873084,0.000018301223],"domain_scores_gemma":[0.9996039,0.00012085059,0.000044529734,0.00005216485,0.00015474622,0.000023743258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038003922,0.00048566246,0.0005194935,0.00044940604,0.0003839184,0.0006382704,0.0008537125,0.00073557004,0.0023652643],"category_scores_gemma":[0.001690153,0.00027656418,0.00024255572,0.00043906606,0.00022610709,0.00094776123,0.0007942689,0.0008584645,0.00089912256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027698465,0.00015465851,0.0035449474,0.00012248365,0.000036021218,0.00012623581,0.00014998968,0.1301668,0.05157944,0.003925909,0.0043230695,0.8055935],"study_design_scores_gemma":[0.000010686325,0.000032532465,0.00076966063,0.000007421555,0.0000068087843,0.00009599715,0.000012610857,0.98931444,0.007480224,0.0008629796,0.0013978976,0.000008716611],"about_ca_topic_score_codex":0.0028281424,"about_ca_topic_score_gemma":0.004853176,"teacher_disagreement_score":0.0028281424,"about_ca_system_score_codex":0.00028968847,"about_ca_system_score_gemma":0.00059935526,"threshold_uncertainty_score":0.007912576},"labels":[],"label_agreement":null},{"id":"W4412460612","doi":"10.1016/j.est.2025.117657","title":"Optimizing battery thermal management with phase change materials: Influence of thickness, ambient conditions, and material selection","year":2025,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Science and Engineering Research Board; Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; University of Alberta","keywords":"Material selection; Battery (electricity); Materials science; Phase-change material; Thermal management of electronic devices and systems; Selection (genetic algorithm); Phase change; Phase (matter); Thermal; Thermal barrier coating; Environmental science; Composite material; Computer science; Process engineering; Mechanical engineering; Engineering; Engineering physics; Thermodynamics; Chemistry; Ceramic; Physics","score_opus":0.01048388227302571,"score_gpt":0.26252851722604537,"score_spread":0.25204463495301965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412460612","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877565,0.0009194301,0.009780593,0.000052376556,0.000016961323,0.000024440104,0.0000682628,0.000054137745,0.0013273656],"genre_scores_gemma":[0.9963678,0.00045357688,0.0028644954,0.000011119339,0.0000036954289,0.000017133001,0.000029945782,0.000012781728,0.00023941335],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99992967,0.000010579682,0.00000511681,0.000013662195,0.000025859372,0.000015107724],"domain_scores_gemma":[0.9998869,0.000046187644,0.000030439702,0.000008982792,0.0000217181,0.0000059100557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020593495,0.0004327377,0.00029431327,0.00018003161,0.00014166467,0.00043561024,0.0003265883,0.0002814238,0.00048337702],"category_scores_gemma":[0.0005951619,0.00019406987,0.00019820234,0.000247535,0.00021599699,0.00060622767,0.00020029534,0.00017850722,0.00013144252],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033707792,0.00012729227,0.0037620799,0.0004359796,0.000038361355,0.00021542681,0.00007532243,0.110393494,0.8647522,0.0004974795,0.00017137267,0.01919397],"study_design_scores_gemma":[0.00006343677,0.001008846,0.0065194936,0.000035530684,0.00009993359,0.0001639077,0.000109452645,0.23505291,0.754845,0.00034485027,0.0017288518,0.000027704411],"about_ca_topic_score_codex":0.0004897362,"about_ca_topic_score_gemma":0.0008847475,"teacher_disagreement_score":0.0004897362,"about_ca_system_score_codex":0.00021378662,"about_ca_system_score_gemma":0.00023204366,"threshold_uncertainty_score":0.0016170144},"labels":[],"label_agreement":null},{"id":"W4412514804","doi":"10.3390/batteries11070275","title":"A Comprehensive Review of Thermal Management Challenges and Safety Considerations in Lithium-Ion Batteries for Electric Vehicles","year":2025,"lang":"en","type":"review","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lithium (medication); Computer science; Ion; Automotive engineering; Risk analysis (engineering); Environmental science; Business; Engineering; Psychology; Chemistry","score_opus":0.05271311149410777,"score_gpt":0.32384815734881656,"score_spread":0.27113504585470877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412514804","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00026170988,0.9968929,0.00029787814,0.00025652244,0.00016545724,0.000009930247,0.000049739243,0.000009837898,0.002056012],"genre_scores_gemma":[0.0012686258,0.9972984,0.00030722463,0.00015586635,0.00009485199,0.000010480795,0.000059641538,0.0000027121966,0.00080214336],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996811,0.00005351667,0.000066861394,0.00004919548,0.00012592302,0.000023347793],"domain_scores_gemma":[0.9994849,0.00027901994,0.000068619396,0.000013348275,0.00013604377,0.000017989343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006886074,0.0008465137,0.0010456169,0.0019680976,0.00033087778,0.0011706499,0.00072154356,0.000998831,0.005591293],"category_scores_gemma":[0.0011459559,0.00035372277,0.0008569595,0.0026696764,0.00025087586,0.0015666478,0.0005927478,0.0009464077,0.0015889654],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006631992,0.00007359613,0.00025073838,0.119357966,0.0001686233,0.00023652994,0.0001857471,0.0011738896,0.004063774,0.0105914315,0.032985684,0.8308457],"study_design_scores_gemma":[0.0000063110524,0.00009805809,0.00045050765,0.010807272,0.00020849488,0.0004241773,0.00009531746,0.00016008787,0.0008678675,0.0020132258,0.9848453,0.000023367149],"about_ca_topic_score_codex":0.0014789074,"about_ca_topic_score_gemma":0.0028893847,"teacher_disagreement_score":0.005591293,"about_ca_system_score_codex":0.00050119025,"about_ca_system_score_gemma":0.0018599436,"threshold_uncertainty_score":0.018704772},"labels":[],"label_agreement":null},{"id":"W4412685494","doi":"10.1038/s41598-025-09626-3","title":"Grid tied hybrid PV fuel cell system with energy storage and ANFIS based MPPT for smart EV charging","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"Taif University","keywords":"Photovoltaic system; Fuel cells; Maximum power point tracking; Grid cell; Energy storage; Computer science; Automotive engineering; Grid; Electrical engineering; Engineering; Power (physics); Inverter; Chemical engineering; Physics","score_opus":0.007610944162400487,"score_gpt":0.21539466766981025,"score_spread":0.20778372350740976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412685494","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4416543,0.0005677075,0.53591704,0.0001776824,0.00013934128,0.0001832321,0.00020952961,0.002546919,0.018604165],"genre_scores_gemma":[0.9805956,0.0000705319,0.017604018,0.000020831263,0.0000049605205,0.000052869902,0.000044880286,0.0000109388675,0.0015955297],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999057,0.00001766002,0.000006279939,0.000015501386,0.000047207195,0.0000075503276],"domain_scores_gemma":[0.9999527,0.000012910263,0.00000879113,0.0000075307053,0.000014924211,0.0000031153047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011237181,0.00027025104,0.0002857426,0.00014011544,0.00023217004,0.0003056026,0.00047266085,0.0003262846,0.0010745565],"category_scores_gemma":[0.00016388108,0.00013619261,0.00021823541,0.00013138687,0.00014029551,0.00035324288,0.0001899011,0.0002609347,0.00023574573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051655516,0.00027431236,0.0026727638,0.00042074927,0.000120382865,0.0005756014,0.00016167738,0.6669016,0.13463227,0.002909351,0.0017705542,0.18904419],"study_design_scores_gemma":[0.000037027974,0.00020253727,0.00070358114,0.0000098429355,0.000021905296,0.00007537846,0.0000129254695,0.9761521,0.020356312,0.000584295,0.0018346924,0.000009515812],"about_ca_topic_score_codex":0.0013023466,"about_ca_topic_score_gemma":0.0022448075,"teacher_disagreement_score":0.0013023466,"about_ca_system_score_codex":0.00019871761,"about_ca_system_score_gemma":0.00016700513,"threshold_uncertainty_score":0.0035947561},"labels":[],"label_agreement":null},{"id":"W4412699874","doi":"10.11159/ffhmt25.159","title":"Thermal Performance Optimization of Lithium-Ion Battery Pack: A Numerical Study","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Battery pack; Lithium (medication); Lithium-ion battery; Battery (electricity); Thermal; Ion; Materials science; Computer science; Nuclear engineering; Thermodynamics; Engineering; Chemistry; Physics","score_opus":0.01800260066142256,"score_gpt":0.25192600079300836,"score_spread":0.2339234001315858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412699874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93071264,0.0010961072,0.030362064,0.00071582024,0.00010371803,0.0000818361,0.0005142552,0.00018982477,0.03622373],"genre_scores_gemma":[0.99229443,0.00020112412,0.0042664963,0.000040546533,0.0000085439,0.000044919932,0.00012807094,0.000018093646,0.0029976997],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998957,0.000022867709,0.0000060726097,0.000014459171,0.000032269498,0.000028635548],"domain_scores_gemma":[0.9995503,0.0002550961,0.00004911742,0.000028375625,0.00009555982,0.000021600341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030404722,0.00032823705,0.00059164834,0.00037308913,0.0005293019,0.0008698757,0.0005122618,0.0010676825,0.002498838],"category_scores_gemma":[0.0011529158,0.0002134298,0.0005897892,0.0005692231,0.00057922624,0.00059314986,0.00036455254,0.00037240135,0.0002543559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066922585,0.000050420713,0.0019486154,0.0000831148,0.000012836398,0.00015260364,0.000044754834,0.98933965,0.003943302,0.0012674262,0.00048488597,0.0026054252],"study_design_scores_gemma":[0.000008605683,0.000038288228,0.00045131362,0.000007593033,0.000005402104,0.000018184419,0.000037067035,0.99805945,0.00083727617,0.00022849988,0.00030333243,0.0000050405033],"about_ca_topic_score_codex":0.006952123,"about_ca_topic_score_gemma":0.0046168547,"teacher_disagreement_score":0.006952123,"about_ca_system_score_codex":0.00067129225,"about_ca_system_score_gemma":0.0005611647,"threshold_uncertainty_score":0.01382333},"labels":[],"label_agreement":null},{"id":"W4412736122","doi":"10.1016/j.rineng.2025.106428","title":"XGBoost–random forest stacking with dual-state Kalman filtering for real-time battery SOC estimation","year":2025,"lang":"en","type":"article","venue":"Results in Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre; Botswana International University of Science and Technology","keywords":"Kalman filter; Dual (grammatical number); Stacking; Computer science; Random forest; Estimation; Extended Kalman filter; Moving horizon estimation; Battery (electricity); State (computer science); Artificial intelligence; Algorithm; Engineering; Chemistry; Physics","score_opus":0.008479900682484843,"score_gpt":0.2510428468649204,"score_spread":0.24256294618243557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412736122","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025350226,0.00036435248,0.9676089,0.00010046696,0.00008790891,0.00004821896,0.00012853548,0.0051075346,0.0012038946],"genre_scores_gemma":[0.56401163,0.00020679516,0.42870897,0.00022862256,0.000103084625,0.0001702503,0.0009684898,0.0004079684,0.005194157],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962056,0.00006692579,0.000018573688,0.000116864445,0.000095054536,0.000081961436],"domain_scores_gemma":[0.99952626,0.00014280391,0.000056595287,0.00006026146,0.00019244204,0.000021708736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089735,0.0012442974,0.0009878977,0.00059015246,0.00040695135,0.0005647762,0.0010526252,0.0007986591,0.0024104351],"category_scores_gemma":[0.0018223312,0.0005156629,0.0007303683,0.00059818965,0.00027158175,0.0007474109,0.00049720355,0.0010160839,0.001314453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028777446,0.00016689724,0.0029401632,0.00010146441,0.00015875511,0.000065664964,0.0000754474,0.51303285,0.007993686,0.0019491274,0.006430345,0.46679783],"study_design_scores_gemma":[0.00000836575,0.000021724403,0.0003825817,0.000004495277,0.000009306377,0.000007970953,0.000006520822,0.99713135,0.0011282475,0.00065764296,0.0006354623,0.000006355514],"about_ca_topic_score_codex":0.012702491,"about_ca_topic_score_gemma":0.017892785,"teacher_disagreement_score":0.012702491,"about_ca_system_score_codex":0.00042165365,"about_ca_system_score_gemma":0.0012436291,"threshold_uncertainty_score":0.02525711},"labels":[],"label_agreement":null},{"id":"W4412779105","doi":"10.1115/1.4069271","title":"Challenges and Opportunities in Hierarchical Multi-Length-Scale Thermal Modeling of Electric Vehicle Battery Systems","year":2025,"lang":"en","type":"article","venue":"ASME Journal of Heat and Mass Transfer","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Battery (electricity); Scale (ratio); Electric vehicle; Computer science; Geography; Physics; Cartography; Power (physics)","score_opus":0.04651148685432729,"score_gpt":0.26561867830342867,"score_spread":0.21910719144910137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412779105","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032135513,0.0071870936,0.937715,0.004259337,0.0005467287,0.00006443523,0.00038386715,0.00056020136,0.017147826],"genre_scores_gemma":[0.79705524,0.018480605,0.1622674,0.0012363528,0.001072181,0.0004334681,0.0007763488,0.00055879925,0.018119672],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997172,0.000104147715,0.000018964663,0.000046044705,0.000092559014,0.000021104157],"domain_scores_gemma":[0.9994869,0.00027087217,0.0000341231,0.00006137761,0.000113280985,0.000033369182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007472278,0.00056563166,0.0008920085,0.00035368043,0.00044540563,0.0013750907,0.0011410769,0.0010331764,0.0018967973],"category_scores_gemma":[0.0012717751,0.00039343358,0.0009098813,0.00041482595,0.00091704645,0.0018737414,0.0011561281,0.0014931472,0.0004250991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008556653,0.000014293719,0.0003329404,0.00009376558,0.000020816526,0.000059572274,0.000049031612,0.95060706,0.0012864433,0.037877075,0.001320383,0.008330057],"study_design_scores_gemma":[0.0000023087691,0.000008868726,0.00009140033,0.000018568926,0.0000035628373,0.0000132906625,0.000018083438,0.97960585,0.00020391204,0.016177405,0.003849887,0.0000067489214],"about_ca_topic_score_codex":0.004907089,"about_ca_topic_score_gemma":0.002906677,"teacher_disagreement_score":0.004907089,"about_ca_system_score_codex":0.00078475644,"about_ca_system_score_gemma":0.00088772835,"threshold_uncertainty_score":0.009757102},"labels":[],"label_agreement":null},{"id":"W4412795740","doi":"10.1109/tte.2025.3594553","title":"A Federated Transfer Learning Framework for Lithium-Ion Battery State of Health Estimation Based on Fast-Charging Segments","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Transfer of learning; Computer science; Lithium (medication); State (computer science); Estimation; State of health; Battery (electricity); Transfer (computing); Lithium-ion battery; Ion; Artificial intelligence; Chemistry; Engineering; Medicine; Algorithm; Systems engineering; Physics","score_opus":0.0157731931490884,"score_gpt":0.2895229916620526,"score_spread":0.2737497985129642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412795740","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03431355,0.00029615636,0.9617753,0.00022354521,0.000041746636,0.000050232215,0.00013562257,0.0018595301,0.001304261],"genre_scores_gemma":[0.9016293,0.00020670918,0.093221225,0.0002502446,0.00007095939,0.00015226351,0.0005466363,0.000101050115,0.003821494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953675,0.00009632959,0.000023059627,0.00017355854,0.00009982638,0.000070372],"domain_scores_gemma":[0.99941707,0.00019034093,0.00006564351,0.00012890562,0.00015939762,0.000038626644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010336953,0.0008239072,0.0008779504,0.00061350345,0.00043069257,0.0007761236,0.0021805512,0.0010284445,0.0015009579],"category_scores_gemma":[0.0026623786,0.00029611093,0.00062745565,0.0007678999,0.00060401874,0.0018363021,0.0015853469,0.0012982967,0.0005142564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022720058,0.00026415288,0.0030419168,0.000058747206,0.00008654819,0.00018210677,0.00017632474,0.72658205,0.004397987,0.004456173,0.002892633,0.2576342],"study_design_scores_gemma":[0.0000048426973,0.000021062599,0.00017804588,0.0000025336622,0.000006095859,0.000019623105,0.000011997147,0.9954855,0.0008682289,0.0031239223,0.00027288983,0.000005251132],"about_ca_topic_score_codex":0.007660682,"about_ca_topic_score_gemma":0.006002253,"teacher_disagreement_score":0.007660682,"about_ca_system_score_codex":0.0008842945,"about_ca_system_score_gemma":0.0011251003,"threshold_uncertainty_score":0.015232205},"labels":[],"label_agreement":null},{"id":"W4412808109","doi":"10.1002/smll.202503406","title":"Ensuring Battery Safety in Electric Vehicles: Challenges, Developments, and Future Perspectives","year":2025,"lang":"en","type":"review","venue":"Small","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; École de Technologie Supérieure","funders":"Fonds de recherche du Québec – Nature et technologies; Centre québécois sur les matériaux fonctionnels; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; École de technologie supérieure; Institut national de la recherche scientifique","keywords":"Automotive industry; Battery (electricity); Thermal runaway; Risk analysis (engineering); Scalability; Resilience (materials science); Bridging (networking); Systems engineering; Computer science; Nanotechnology; Engineering; Materials science; Business; Computer security","score_opus":0.03243981892613679,"score_gpt":0.2815970925766189,"score_spread":0.24915727365048213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412808109","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00033289113,0.9959657,0.00036495968,0.0007540122,0.0002099636,0.000005852665,0.000024431869,0.000010114755,0.0023320292],"genre_scores_gemma":[0.0017248347,0.99684,0.00027534185,0.00027202294,0.00011500757,0.00000597768,0.000026562893,0.0000019434449,0.00073834875],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997197,0.000046910365,0.000036335772,0.000041365107,0.000119911776,0.000035822144],"domain_scores_gemma":[0.99937195,0.00028969836,0.00007035711,0.000016782124,0.00021890701,0.000032279735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092033815,0.0006393102,0.000949664,0.0015947553,0.00034407966,0.0014660123,0.0007620916,0.0014372105,0.0049772346],"category_scores_gemma":[0.00093378517,0.00028821488,0.0005530519,0.0017987011,0.00040344446,0.0023286508,0.00073204626,0.0013773121,0.0018415265],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005128778,0.00008115917,0.00021178044,0.034597386,0.00006754832,0.00023491037,0.00014497343,0.0012099745,0.004253931,0.020371739,0.019214313,0.919561],"study_design_scores_gemma":[0.0000057971024,0.0001286425,0.00039677846,0.0065062256,0.00008639721,0.0005307012,0.0001890814,0.00022493536,0.00093276426,0.0058979033,0.9850796,0.000021124384],"about_ca_topic_score_codex":0.0013152669,"about_ca_topic_score_gemma":0.002655776,"teacher_disagreement_score":0.0049772346,"about_ca_system_score_codex":0.0005853006,"about_ca_system_score_gemma":0.0018249793,"threshold_uncertainty_score":0.016650498},"labels":[],"label_agreement":null},{"id":"W4412815252","doi":"10.52152/4549","title":"Grid-Connected PV + Battery AC Nanogrid with EV Integration for Increased Resilience","year":2025,"lang":"en","type":"article","venue":"Renewable Energy and Power Quality Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Resilience (materials science); Battery (electricity); Grid; Electrical engineering; Photovoltaic system; Computer science; Engineering; Physics; Geography; Power (physics)","score_opus":0.012514311827466694,"score_gpt":0.276972086636562,"score_spread":0.26445777480909527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412815252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6732818,0.00039997604,0.28799498,0.0003230504,0.00020932587,0.00014524975,0.0004004115,0.0034231334,0.03382202],"genre_scores_gemma":[0.98767775,0.00005002882,0.008480609,0.00002356393,0.0000061079713,0.000020444933,0.00009275753,0.000032689393,0.0036160576],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993443,0.000011732616,0.0000029807286,0.000016661437,0.000024301808,0.000009888941],"domain_scores_gemma":[0.9999368,0.0000069108164,0.000006992005,0.00001882895,0.000020532625,0.000009946404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000064426175,0.00020255253,0.0002867682,0.00013096897,0.00021420163,0.00038402324,0.0005510516,0.00017709924,0.0027178817],"category_scores_gemma":[0.00007135557,0.00006591095,0.00017805946,0.00018907976,0.00013853345,0.00042234035,0.00039116468,0.00022896357,0.0008183596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018162539,0.0006761231,0.010835755,0.0007717478,0.00017651354,0.0021178708,0.0003857297,0.14967445,0.5791122,0.017071906,0.010808517,0.22655298],"study_design_scores_gemma":[0.0001569105,0.0018164567,0.0074534616,0.00005205417,0.00011792065,0.0010264775,0.00032062441,0.6836327,0.24719395,0.008322565,0.049864296,0.000042528787],"about_ca_topic_score_codex":0.0006651275,"about_ca_topic_score_gemma":0.0013855703,"teacher_disagreement_score":0.0027178817,"about_ca_system_score_codex":0.00024393795,"about_ca_system_score_gemma":0.00013708354,"threshold_uncertainty_score":0.009092212},"labels":[],"label_agreement":null},{"id":"W4412836877","doi":"10.1109/ojcas.2025.3583268","title":"Comparison and Design of Linear and Exponential Integrated Charge Pumps","year":2025,"lang":"en","type":"article","venue":"IEEE Open Journal of Circuits and Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exponential function; Charge (physics); Applied mathematics; Mathematics; Physics; Mathematical analysis","score_opus":0.06928279125943078,"score_gpt":0.33477357040076033,"score_spread":0.26549077914132957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412836877","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08351933,0.0018880594,0.8777916,0.0003225882,0.00011698032,0.00020631021,0.00030216484,0.0016148273,0.034238108],"genre_scores_gemma":[0.93546444,0.0009220752,0.05280484,0.000120576675,0.000021849435,0.00013600051,0.00010576831,0.00006785084,0.010356552],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99963677,0.00003993864,0.0000174399,0.000065827786,0.0001858816,0.00005415905],"domain_scores_gemma":[0.99979013,0.00006820121,0.000026530224,0.000026470481,0.00007839826,0.000010186455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038250117,0.00039599492,0.00045574317,0.0003507123,0.00030524618,0.0013916787,0.0017736744,0.00088165485,0.0037119475],"category_scores_gemma":[0.0008690212,0.0003298114,0.00051173597,0.00046604796,0.00038891364,0.0010854686,0.00043440395,0.0004978079,0.00086641597],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053988065,0.00021401265,0.001300435,0.0005697824,0.00013274541,0.0002635661,0.00026263524,0.72984827,0.06841857,0.05322831,0.0037670608,0.14145474],"study_design_scores_gemma":[0.000021744863,0.00019819735,0.00022026557,0.000022469294,0.000039287017,0.000102168524,0.00003098788,0.96820295,0.022090973,0.0026229518,0.0064322567,0.000015742775],"about_ca_topic_score_codex":0.0016711106,"about_ca_topic_score_gemma":0.002004223,"teacher_disagreement_score":0.0037119475,"about_ca_system_score_codex":0.0009020834,"about_ca_system_score_gemma":0.0006952079,"threshold_uncertainty_score":0.012417674},"labels":[],"label_agreement":null},{"id":"W4412862506","doi":"10.1016/j.tsep.2025.103920","title":"Enhancing heat transfer performance of cold plates via Tesla channel design","year":2025,"lang":"en","type":"article","venue":"Thermal Science and Engineering Progress","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Heat transfer; Channel (broadcasting); Transfer (computing); Materials science; Nuclear engineering; Computer science; Mechanical engineering; Engineering; Mechanics; Physics; Telecommunications; Operating system","score_opus":0.011017923576381254,"score_gpt":0.23347695707990768,"score_spread":0.22245903350352642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412862506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8949623,0.0007514523,0.08368846,0.00038279901,0.00024338918,0.000060299204,0.00035939246,0.0024550357,0.017096953],"genre_scores_gemma":[0.97697896,0.00015964375,0.01847959,0.000047244324,0.000046431785,0.000048359987,0.00010515764,0.00014165358,0.0039928607],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987876,0.000010017812,0.0000038327103,0.000029058498,0.00003198109,0.000046413075],"domain_scores_gemma":[0.9994654,0.00012283318,0.00011591589,0.00006610069,0.00016360189,0.000066133856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002145753,0.0004313419,0.0003403286,0.00036740545,0.0004893813,0.00085768005,0.0009750903,0.00043789073,0.0023088513],"category_scores_gemma":[0.00043409909,0.00020108429,0.00021489615,0.00028095735,0.00042809092,0.0007722953,0.00044663515,0.00043451472,0.00083245576],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005745027,0.00011430031,0.0012259933,0.00017371797,0.000017098973,0.00010423471,0.00011905567,0.011132114,0.9666282,0.004802219,0.0023885723,0.012720041],"study_design_scores_gemma":[0.000031822394,0.00032601014,0.0009392769,0.000012054873,0.000016350516,0.00010593492,0.00005296809,0.042119794,0.95057964,0.00038860372,0.0053928746,0.000034645316],"about_ca_topic_score_codex":0.000787711,"about_ca_topic_score_gemma":0.0012442275,"teacher_disagreement_score":0.0023088513,"about_ca_system_score_codex":0.00060285436,"about_ca_system_score_gemma":0.0008006899,"threshold_uncertainty_score":0.007723868},"labels":[],"label_agreement":null},{"id":"W4412864761","doi":"10.1016/j.applthermaleng.2025.127592","title":"Experimental investigation on incorporating wire mesh into phase change material-based battery packs at elevated ambient temperatures","year":2025,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ontario Institute of Technology","keywords":"Wire mesh; Materials science; Phase-change material; Battery (electricity); Phase change; Composite material; Mechanical engineering; Forensic engineering; Automotive engineering; Structural engineering; Engineering; Engineering physics; Thermodynamics; Power (physics)","score_opus":0.01623008827566454,"score_gpt":0.25353672106947867,"score_spread":0.23730663279381412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412864761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967631,0.00011536569,0.0020945868,0.000020733183,0.000025873487,0.000027137223,0.0002680481,0.000091266564,0.000593794],"genre_scores_gemma":[0.99589527,0.00016597626,0.0025784578,0.00001462016,0.0000061886294,0.000044718876,0.0002342885,0.000036161266,0.0010243822],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99967897,0.0000345808,0.000025259695,0.00007102425,0.00012959167,0.000060618895],"domain_scores_gemma":[0.99958724,0.00007999075,0.000044192875,0.000072273004,0.00019282507,0.000023499259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035113335,0.00039421485,0.00037408152,0.00028224548,0.0003003608,0.0003471359,0.0004919492,0.00041110028,0.0018991133],"category_scores_gemma":[0.00090418785,0.00021688273,0.00028665914,0.00043862095,0.00032514092,0.0006966093,0.00034845938,0.0003760787,0.00047687916],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004467577,0.00013545634,0.002551108,0.00031228925,0.000021969203,0.00031906477,0.00023835803,0.001510482,0.98336595,0.00018789434,0.0003200919,0.01059066],"study_design_scores_gemma":[0.000020098758,0.001500803,0.006608239,0.000015584323,0.000031651103,0.00015307569,0.00017787937,0.0037564614,0.9857679,0.00006616655,0.0018875854,0.000014575198],"about_ca_topic_score_codex":0.00047373737,"about_ca_topic_score_gemma":0.0012365327,"teacher_disagreement_score":0.0018991133,"about_ca_system_score_codex":0.000229801,"about_ca_system_score_gemma":0.00013660842,"threshold_uncertainty_score":0.0063531995},"labels":[],"label_agreement":null},{"id":"W4412873450","doi":"10.3390/electronics14142871","title":"Performance Evaluation of DAB-Based Partial- and Full-Power Processing for BESS in Support of Trolleybus Traction Grids","year":2025,"lang":"en","type":"article","venue":"Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"European Commission","keywords":"Traction (geology); Automotive engineering; Computer science; Power (physics); Engineering; Physics; Mechanical engineering","score_opus":0.01679330521594694,"score_gpt":0.31267976597529723,"score_spread":0.29588646075935027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412873450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9561204,0.00068202545,0.026620084,0.00017761062,0.00011410916,0.00010722232,0.00029018274,0.0013838327,0.014504593],"genre_scores_gemma":[0.9981828,0.00006468994,0.00095471466,0.000013535523,0.000002797233,0.000011601718,0.000063449916,0.0000123520385,0.0006939993],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997696,0.0000495291,0.000015989843,0.000036147452,0.00007729348,0.000051441442],"domain_scores_gemma":[0.9996605,0.00007864725,0.000032927437,0.00003541358,0.00014817594,0.000044455704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035722306,0.00054899964,0.00056266354,0.0004704738,0.00037114476,0.00072433235,0.0010264766,0.00037290316,0.005030132],"category_scores_gemma":[0.0005170753,0.0001357787,0.00025228606,0.0003595674,0.00023033361,0.0006603553,0.00025607404,0.00036045496,0.00087237667],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0150701655,0.0017973471,0.016664473,0.0031637244,0.0003995867,0.0020619957,0.00083177787,0.27941525,0.33598506,0.0051084305,0.011417809,0.3280843],"study_design_scores_gemma":[0.00034969518,0.0048937476,0.0124379825,0.00007709088,0.00012322141,0.000562081,0.00040150087,0.84562075,0.1301348,0.00088478456,0.0044511207,0.000063253894],"about_ca_topic_score_codex":0.002015349,"about_ca_topic_score_gemma":0.0023870673,"teacher_disagreement_score":0.005030132,"about_ca_system_score_codex":0.0004012153,"about_ca_system_score_gemma":0.0002773315,"threshold_uncertainty_score":0.016827464},"labels":[],"label_agreement":null},{"id":"W4412957868","doi":"10.3390/batteries11080298","title":"Artificial Intelligence and Digital Twin Technologies for Intelligent Lithium-Ion Battery Management Systems: A Comprehensive Review of State Estimation, Lifecycle Optimization, and Cloud-Edge Integration","year":2025,"lang":"en","type":"review","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Waterloo","funders":"","keywords":"Computer science; Cloud computing; Lithium (medication); State (computer science); Enhanced Data Rates for GSM Evolution; Battery (electricity); Systems engineering; Artificial intelligence; Engineering; Operating system","score_opus":0.04274087398186763,"score_gpt":0.3198606692907265,"score_spread":0.2771197953088589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412957868","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00082573306,0.98190606,0.008953606,0.0013240587,0.0006100797,0.000024714423,0.00006189277,0.00005820074,0.0062356563],"genre_scores_gemma":[0.008273459,0.9831872,0.0054042656,0.0007543221,0.0007630257,0.000033800345,0.00010750314,0.000020699896,0.0014557027],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996137,0.00007328619,0.000050986557,0.000073524345,0.00015857241,0.000029940053],"domain_scores_gemma":[0.9989505,0.0006931174,0.000065959364,0.00004224347,0.00021741478,0.00003067998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007485867,0.0009103622,0.0008441906,0.0019261148,0.00029373865,0.0016652237,0.000819868,0.0012174514,0.0025691274],"category_scores_gemma":[0.0014329186,0.0004076734,0.0008474434,0.0025861533,0.0005461526,0.002931351,0.0006791833,0.0016894164,0.0010220177],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049971397,0.00011781952,0.00073577574,0.0140817175,0.0001521318,0.00018804663,0.00019373483,0.005126603,0.0021374715,0.057271983,0.026460294,0.8934844],"study_design_scores_gemma":[0.000010840974,0.00022770927,0.0016173266,0.0071687717,0.00024165343,0.00084495643,0.00022305,0.008866809,0.0017777203,0.03313079,0.9458017,0.0000886511],"about_ca_topic_score_codex":0.0014967702,"about_ca_topic_score_gemma":0.0013490064,"teacher_disagreement_score":0.0025691274,"about_ca_system_score_codex":0.0006898025,"about_ca_system_score_gemma":0.0012297555,"threshold_uncertainty_score":0.008594632},"labels":[],"label_agreement":null},{"id":"W4412986632","doi":"10.1109/itec63604.2025.11097926","title":"Lightweight Feature-Based Attention Network for Li-Ion Battery SOC Estimation","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Feature (linguistics); Battery (electricity); Estimation; Embedded system; System on a chip; Real-time computing; Engineering; Systems engineering; Power (physics)","score_opus":0.010635007898027429,"score_gpt":0.27023439685852824,"score_spread":0.25959938896050083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412986632","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21962492,0.0024110456,0.75501347,0.0010101692,0.00025403884,0.00011043025,0.002610822,0.011554827,0.007410204],"genre_scores_gemma":[0.93377626,0.0004140235,0.055966474,0.00032599323,0.00007009464,0.00011017985,0.0033331283,0.00011969804,0.0058840928],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988544,0.000014557647,0.000005712209,0.00003785745,0.000028763592,0.000027676242],"domain_scores_gemma":[0.9997985,0.00006410338,0.000018192093,0.00002251249,0.00008646165,0.000010276347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029173616,0.0007891302,0.0005028059,0.00041577627,0.0002169216,0.0003544747,0.001287349,0.00053785177,0.0017124563],"category_scores_gemma":[0.0011624697,0.00022064695,0.0003972602,0.00057880406,0.00020617228,0.00074668473,0.00053896283,0.000781883,0.00061510917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034855033,0.0002150865,0.005336707,0.00010817983,0.00010009742,0.00013066526,0.000049719198,0.6116191,0.011929625,0.0016590961,0.013131406,0.3553718],"study_design_scores_gemma":[0.0000063436864,0.000019447109,0.00046543693,0.000004135607,0.000010107663,0.0000146284665,0.0000047523804,0.9959908,0.0022255222,0.0007756612,0.00047907367,0.000004031958],"about_ca_topic_score_codex":0.019161109,"about_ca_topic_score_gemma":0.026629342,"teacher_disagreement_score":0.019161109,"about_ca_system_score_codex":0.00086066936,"about_ca_system_score_gemma":0.00063659786,"threshold_uncertainty_score":0.03809917},"labels":[],"label_agreement":null},{"id":"W4412986738","doi":"10.1109/itec63604.2025.11098013","title":"Comparative Analysis of Active Liquid Cooling Strategies for High-Power Lithium-Ion Battery Modules","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; McMaster University Medical Centre","funders":"","keywords":"Battery (electricity); Lithium (medication); Computer cooling; Lithium-ion battery; Ion; Power (physics); Materials science; Nuclear engineering; Electrical engineering; Computer science; Automotive engineering; Engineering; Chemistry; Mechanical engineering; Physics; Thermodynamics; Thermal management of electronic devices and systems; Psychology","score_opus":0.022920326349372654,"score_gpt":0.3158544699110238,"score_spread":0.29293414356165115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412986738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98784155,0.0006849932,0.009067407,0.000029338315,0.000015650981,0.00002521003,0.00010126126,0.00010661562,0.002128092],"genre_scores_gemma":[0.9967732,0.0002222404,0.0023499592,0.0000066308235,0.0000034590012,0.000020872227,0.00007115725,0.000019943045,0.0005324225],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99989164,0.000015183831,0.0000074178774,0.000018679068,0.00004436606,0.000022765304],"domain_scores_gemma":[0.99978036,0.00007222439,0.00003232355,0.000021607333,0.00007841626,0.000015049979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002807648,0.0002917581,0.00041824888,0.00041243428,0.00017618299,0.00042358504,0.0004903783,0.00020687861,0.0012711376],"category_scores_gemma":[0.00059921993,0.00013049426,0.00033265058,0.00029256058,0.00015918579,0.0005817215,0.00020120417,0.00015407515,0.00018927077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014342084,0.0003607984,0.0050661764,0.0009652494,0.00011068248,0.00017580373,0.00020369412,0.24462488,0.64664173,0.0016122008,0.00093132776,0.09787324],"study_design_scores_gemma":[0.000055457596,0.002023943,0.008505964,0.000025444926,0.000114687246,0.00007678289,0.00013419682,0.4686173,0.5174426,0.0002461213,0.002722774,0.000034867597],"about_ca_topic_score_codex":0.00088461814,"about_ca_topic_score_gemma":0.0016432295,"teacher_disagreement_score":0.0012711376,"about_ca_system_score_codex":0.00031559242,"about_ca_system_score_gemma":0.00023588176,"threshold_uncertainty_score":0.004252374},"labels":[],"label_agreement":null},{"id":"W4412986773","doi":"10.1109/itec63604.2025.11098003","title":"Thermal Modeling of NMC811 Prismatic Battery for Fast Charging Profiles in EV Applications","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Battery (electricity); Thermal; Electrical engineering; Computer science; Materials science; Automotive engineering; Engineering; Physics; Thermodynamics; Power (physics)","score_opus":0.018174373195974945,"score_gpt":0.28250365430550706,"score_spread":0.26432928110953213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412986773","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28702366,0.00076045556,0.6770716,0.00035470354,0.000085041065,0.00013837266,0.0011357005,0.0010921196,0.03233836],"genre_scores_gemma":[0.98000276,0.00027677472,0.013586642,0.000030435624,0.0000063547936,0.000080239275,0.00024728454,0.00004690978,0.0057226564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998913,0.000018067698,0.000004623762,0.000021415037,0.000054052234,0.00001061582],"domain_scores_gemma":[0.99992144,0.000020129955,0.000008205999,0.0000126086625,0.0000341988,0.0000033320093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013510467,0.00035287617,0.00035530515,0.00020246177,0.00023490726,0.0004285854,0.00068442465,0.0004831522,0.0013971626],"category_scores_gemma":[0.00033133168,0.00018823,0.00047032896,0.0003536695,0.00021993283,0.00051934645,0.00030419684,0.000367338,0.00039068618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034131597,0.00001582036,0.00050650805,0.000055885906,0.00000882476,0.000063113956,0.000043932254,0.9724979,0.016126893,0.0011722827,0.00040048544,0.00907429],"study_design_scores_gemma":[0.0000015510018,0.000015608939,0.00019511818,0.0000023578834,0.0000023382981,0.00001426427,0.000009803708,0.9969133,0.0020598057,0.0002251125,0.000557542,0.0000031486916],"about_ca_topic_score_codex":0.006155768,"about_ca_topic_score_gemma":0.0058042794,"teacher_disagreement_score":0.006155768,"about_ca_system_score_codex":0.00045345104,"about_ca_system_score_gemma":0.0006217379,"threshold_uncertainty_score":0.012239873},"labels":[],"label_agreement":null},{"id":"W4412986838","doi":"10.1109/itec63604.2025.11098064","title":"Thermal Performance Evaluation and Design Optimization of a Battery Disconnect Unit for High-Power Electric Vehicle Applications","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; McMaster University Medical Centre","funders":"","keywords":"Electric vehicle; Automotive engineering; Battery (electricity); Power (physics); Unit (ring theory); Computer science; Power optimization; Thermal; Electrical engineering; Engineering; Power consumption","score_opus":0.021871505881866534,"score_gpt":0.28474505857707705,"score_spread":0.2628735526952105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412986838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.952756,0.00064842345,0.03797029,0.000120052464,0.000045143195,0.00008538982,0.00012563443,0.00044155447,0.007807487],"genre_scores_gemma":[0.9931645,0.00010515888,0.0046554757,0.000009616568,0.0000038844473,0.000032585278,0.000047658134,0.000038256498,0.0019428161],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997814,0.00003925994,0.000009148467,0.000031962973,0.000107519874,0.000030684423],"domain_scores_gemma":[0.99971396,0.000082608036,0.000049232724,0.000028516575,0.00009883956,0.000026902619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032527235,0.00048436772,0.00040831667,0.00041301307,0.00033569816,0.00062488555,0.0006383239,0.000401362,0.001990459],"category_scores_gemma":[0.000604125,0.00027245344,0.0003498915,0.00025800124,0.00016761453,0.00043150623,0.000260241,0.0002505663,0.00045069287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001172941,0.0002991725,0.0070838723,0.0010976759,0.000093271046,0.0005190254,0.00034504975,0.46966597,0.44534156,0.0009233593,0.0019316307,0.07152641],"study_design_scores_gemma":[0.00007602056,0.003832307,0.016663961,0.000036535712,0.00015542307,0.00033107534,0.00031454884,0.7105955,0.2615071,0.0003678685,0.006061443,0.000058159607],"about_ca_topic_score_codex":0.00094720884,"about_ca_topic_score_gemma":0.0017392765,"teacher_disagreement_score":0.001990459,"about_ca_system_score_codex":0.0005425295,"about_ca_system_score_gemma":0.0003671059,"threshold_uncertainty_score":0.0066587925},"labels":[],"label_agreement":null},{"id":"W4412986970","doi":"10.1109/itec63604.2025.11098155","title":"Design and Analysis of a Bi-Directional Solid-State Battery Protection System for Solid-State Transformer Based Grid Supporting Ev Charging Systems","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Grid; Transformer; Solid-state; Electrical engineering; Computer science; State (computer science); Electronic engineering; Automotive engineering; Engineering; Engineering physics; Voltage","score_opus":0.022035201939342577,"score_gpt":0.29040821659879634,"score_spread":0.2683730146594538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412986970","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08605761,0.00046535957,0.89631456,0.00028913605,0.00008893824,0.0003469133,0.00013842793,0.0016158181,0.014683106],"genre_scores_gemma":[0.96931946,0.00017563975,0.025955258,0.000043176442,0.000015213094,0.00014938189,0.000071623785,0.000032166277,0.0042379894],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964,0.000075632706,0.000021829674,0.000069493486,0.00016197508,0.00003109924],"domain_scores_gemma":[0.99979633,0.000037356585,0.000041547537,0.000022374496,0.0000860276,0.000016353444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026440265,0.00050583854,0.000550862,0.00029329426,0.0004448964,0.0010541646,0.00087259663,0.0006088304,0.0032723572],"category_scores_gemma":[0.00034582012,0.0002886871,0.000465049,0.00017306344,0.00027944235,0.0005168319,0.0003880744,0.00033174353,0.00085370196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064055226,0.00014785385,0.0033446134,0.00067619415,0.00015223245,0.0006201019,0.0003130363,0.7126601,0.15764365,0.0105488775,0.0024472796,0.11080547],"study_design_scores_gemma":[0.000037021007,0.0003729902,0.0007290133,0.000018443676,0.000042276173,0.00011016819,0.000030730036,0.9810065,0.013050013,0.00070746726,0.0038841648,0.000011265665],"about_ca_topic_score_codex":0.0023929065,"about_ca_topic_score_gemma":0.0016023858,"teacher_disagreement_score":0.0032723572,"about_ca_system_score_codex":0.0006427489,"about_ca_system_score_gemma":0.000886577,"threshold_uncertainty_score":0.010947108},"labels":[],"label_agreement":null},{"id":"W4412987043","doi":"10.1109/itec63604.2025.11098098","title":"Field-Validated Battery Capacity Estimation Using an Iterative Filter-Based Approach","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Battery capacity; Field (mathematics); Battery (electricity); Estimation; Electronic engineering; Filter (signal processing); Engineering; Mathematics; Physics; Power (physics); Computer vision","score_opus":0.05268141976779327,"score_gpt":0.31086592141033015,"score_spread":0.25818450164253687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412987043","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1867949,0.00045518234,0.8055216,0.00013727573,0.0000728396,0.00018023777,0.0017563627,0.0019252214,0.0031562985],"genre_scores_gemma":[0.8609084,0.00022639357,0.13371648,0.00009078221,0.000056799767,0.0002687411,0.0034279577,0.00008655306,0.0012179769],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99947613,0.0001272728,0.000037087488,0.00016855633,0.00013846131,0.000052615764],"domain_scores_gemma":[0.9983296,0.00055060914,0.00019413549,0.00023139403,0.0006579508,0.00003636999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011913179,0.00073988386,0.0007067908,0.0013254283,0.0003046711,0.00083955796,0.0010889061,0.00076845253,0.0010751197],"category_scores_gemma":[0.004891149,0.00019817683,0.00052566547,0.001070049,0.0003023755,0.0012366486,0.0005730404,0.00054859585,0.0005808383],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035195064,0.000466185,0.060421053,0.00068302377,0.00039016633,0.0002244677,0.0003090412,0.61297756,0.036589433,0.0038506417,0.0057932963,0.2779432],"study_design_scores_gemma":[0.000026592812,0.00012060974,0.014107351,0.000038706854,0.000032930253,0.00011032605,0.00007184401,0.9717031,0.010107389,0.0016456235,0.001994929,0.00004061646],"about_ca_topic_score_codex":0.009695905,"about_ca_topic_score_gemma":0.011886488,"teacher_disagreement_score":0.009695905,"about_ca_system_score_codex":0.00042834767,"about_ca_system_score_gemma":0.00093405886,"threshold_uncertainty_score":0.019278944},"labels":[],"label_agreement":null},{"id":"W4412987066","doi":"10.1109/itec63604.2025.11098033","title":"Integrating Time-Domain and Frequency-Domain Analyses for Advanced Lithium-Ion Battery Characterization","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Characterization (materials science); Lithium (medication); Domain (mathematical analysis); Computer science; Frequency domain; Battery (electricity); Lithium-ion battery; Reliability engineering; Materials science; Engineering; Nanotechnology; Physics; Thermodynamics; Power (physics); Psychology; Mathematics","score_opus":0.01581955398440967,"score_gpt":0.3026150122009362,"score_spread":0.2867954582165265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412987066","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2551616,0.0027080977,0.73306745,0.00024377202,0.00019500886,0.0001772725,0.0007753304,0.0020052523,0.0056661693],"genre_scores_gemma":[0.8036425,0.002459536,0.18965767,0.00016089248,0.00008929976,0.0002007098,0.00074241706,0.00015164421,0.0028951757],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997321,0.000040812403,0.00002231631,0.000042742242,0.00014401576,0.000018097411],"domain_scores_gemma":[0.9993857,0.00021635016,0.0000702145,0.00005865869,0.00025801358,0.000010997659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005959524,0.00052682695,0.00037567862,0.0013644088,0.00014398474,0.00065683434,0.000330496,0.0005096078,0.0013945557],"category_scores_gemma":[0.0012977232,0.00011885119,0.00029478566,0.0011042478,0.00014414327,0.0010433557,0.00027911938,0.00041056355,0.00063336804],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002024567,0.00015592107,0.00591968,0.0005610515,0.000068554415,0.0001912879,0.00016897364,0.008694589,0.7400282,0.001330659,0.0007152737,0.24196337],"study_design_scores_gemma":[0.00003169877,0.0005347067,0.027153334,0.00008766739,0.00014216123,0.0011239793,0.00046672963,0.3188051,0.63171387,0.0044096354,0.015406465,0.00012462104],"about_ca_topic_score_codex":0.0004921744,"about_ca_topic_score_gemma":0.0010560413,"teacher_disagreement_score":0.0013945557,"about_ca_system_score_codex":0.0001418918,"about_ca_system_score_gemma":0.00022617758,"threshold_uncertainty_score":0.004665315},"labels":[],"label_agreement":null},{"id":"W4412987116","doi":"10.1109/itec63604.2025.11097970","title":"Influence of Open Circuit Voltage Measurement on Battery Voltage Modeling","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Voltage; Open-circuit voltage; Electrical engineering; Battery (electricity); Constant power circuit; Computer science; Engineering; Switched-mode power supply; Physics; Power (physics)","score_opus":0.056390196559398705,"score_gpt":0.30108813136900947,"score_spread":0.24469793480961077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412987116","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43357018,0.0017703258,0.55178505,0.00038554703,0.00021401024,0.00018865924,0.0008671516,0.0034697677,0.007749216],"genre_scores_gemma":[0.9847593,0.0003307036,0.013416802,0.000059375066,0.000011176114,0.00006662386,0.00023064163,0.00010967702,0.0010157005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879754,0.0002902648,0.00008235573,0.00022469854,0.00052574003,0.000079347854],"domain_scores_gemma":[0.9983955,0.0009793232,0.000100144294,0.00026194117,0.00024035652,0.000022821143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092565996,0.0007198101,0.00052917574,0.0005010174,0.00027484956,0.0009396166,0.0013534455,0.0009987658,0.0015527303],"category_scores_gemma":[0.005677962,0.00034006248,0.00055379485,0.00047247662,0.0003295681,0.0014247518,0.0004455485,0.0007211943,0.00054323714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089923345,0.0002626969,0.013876528,0.0008799367,0.00013298467,0.0008488877,0.00081917265,0.40474585,0.33727467,0.0040184045,0.0023749548,0.23386665],"study_design_scores_gemma":[0.000011919009,0.00023223582,0.0045643616,0.000048957405,0.000031336593,0.00021109388,0.00010566835,0.77652967,0.2130325,0.0014904988,0.0037048077,0.000036840906],"about_ca_topic_score_codex":0.003418874,"about_ca_topic_score_gemma":0.0037983907,"teacher_disagreement_score":0.003418874,"about_ca_system_score_codex":0.0006613825,"about_ca_system_score_gemma":0.00042367794,"threshold_uncertainty_score":0.0067979097},"labels":[],"label_agreement":null},{"id":"W4412987203","doi":"10.1109/itec63604.2025.11098056","title":"iTransformer Based Voltage Estimation of Lithium-Ion Batteries","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Lithium (medication); Ion; Voltage; Estimation; Materials science; Computer science; Electrical engineering; Automotive engineering; Chemistry; Engineering; Systems engineering; Psychology","score_opus":0.01049753680108034,"score_gpt":0.26808115304641755,"score_spread":0.2575836162453372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412987203","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041606855,0.0010112438,0.9510794,0.00025320303,0.0001420251,0.00003120219,0.0003097478,0.0018638631,0.0037024524],"genre_scores_gemma":[0.8315096,0.001695329,0.1573896,0.00040276928,0.00011073568,0.00008834269,0.000973813,0.00018492514,0.007644909],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986994,0.000028410157,0.000008922958,0.00003828923,0.000041812073,0.000012577233],"domain_scores_gemma":[0.99980575,0.00007262345,0.00001941308,0.000018520046,0.00007740264,0.000006374851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023210696,0.00057707605,0.00039283058,0.00032068725,0.00010430589,0.00050761574,0.0005877553,0.00043929592,0.0018817863],"category_scores_gemma":[0.0011584366,0.00015711744,0.00035325348,0.00045626546,0.00016809037,0.0007881108,0.00032571921,0.00042523514,0.0009283649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025828677,0.00007343497,0.003835409,0.00020777373,0.000080614765,0.00028831,0.00012172084,0.3970351,0.047784477,0.003320945,0.005940109,0.54105383],"study_design_scores_gemma":[0.0000056505855,0.000053154254,0.0010236589,0.0000132404675,0.000013445602,0.00013924456,0.000016643115,0.98509514,0.010137535,0.001857957,0.0016337445,0.000010623127],"about_ca_topic_score_codex":0.0027107964,"about_ca_topic_score_gemma":0.0035720398,"teacher_disagreement_score":0.0027107964,"about_ca_system_score_codex":0.0002460512,"about_ca_system_score_gemma":0.00024466866,"threshold_uncertainty_score":0.006295204},"labels":[],"label_agreement":null},{"id":"W4413017635","doi":"10.1109/tte.2025.3596469","title":"A Novel High-Efficiency Multisource Inverter for Integrating Hybrid Energy Storage Systems in Electric Vehicle Applications","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Transport Canada","keywords":"Energy storage; Computer science; Electric vehicle; Inverter; Automotive engineering; Electrical engineering; Engineering; Voltage; Physics; Power (physics)","score_opus":0.0096294111351365,"score_gpt":0.2402047505038252,"score_spread":0.2305753393686887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413017635","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.063658506,0.0023528512,0.8904471,0.00049134623,0.00038720033,0.00015100828,0.00033604313,0.0017933422,0.04038269],"genre_scores_gemma":[0.9032194,0.0012928835,0.085077286,0.00017873681,0.00013667381,0.00011108726,0.0003542832,0.00007593583,0.009553654],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999237,0.0000072540533,0.0000047731937,0.00001612873,0.000042055235,0.0000060094585],"domain_scores_gemma":[0.999969,0.0000041470207,0.0000044769995,0.0000034618377,0.00001548062,0.0000033799063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005643913,0.00026173575,0.00028589737,0.00029904532,0.00022636227,0.00038649497,0.0007311685,0.00029754118,0.0029503494],"category_scores_gemma":[0.00007488892,0.00011242487,0.0001907284,0.00039378012,0.00010514394,0.0008153788,0.00026834363,0.00028183166,0.00072562404],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002583577,0.00018422201,0.001459755,0.0011617019,0.00009042521,0.00067384035,0.00015123126,0.018736988,0.4131147,0.03587642,0.011428082,0.5168643],"study_design_scores_gemma":[0.00011993585,0.0011825869,0.0029895906,0.00014205823,0.0001425302,0.002258107,0.00015187376,0.565376,0.23843946,0.016122157,0.17299934,0.0000764944],"about_ca_topic_score_codex":0.0001368795,"about_ca_topic_score_gemma":0.00039835414,"teacher_disagreement_score":0.0029503494,"about_ca_system_score_codex":0.0001926712,"about_ca_system_score_gemma":0.000118216194,"threshold_uncertainty_score":0.0098698735},"labels":[],"label_agreement":null},{"id":"W4413030575","doi":"10.2139/ssrn.5381064","title":"A Study on the Effect of Temperature on Low-Rate Open-Circuit Voltage Models of Lithium-Ion Batteries","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Open-circuit voltage; Lithium (medication); Ion; Voltage; Materials science; Electrical engineering; Engineering physics; Physics; Psychology; Engineering","score_opus":0.01759008525151342,"score_gpt":0.28409152410961314,"score_spread":0.26650143885809974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413030575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7948973,0.006588644,0.16567993,0.001435264,0.00039500438,0.0001227455,0.00037463068,0.0004435612,0.03006283],"genre_scores_gemma":[0.9922375,0.00079990993,0.0020175115,0.000044487548,0.00005088973,0.000021004933,0.00007432081,0.00010062589,0.004653797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970454,0.00013947005,0.000011827163,0.00003503928,0.00007289544,0.00003615972],"domain_scores_gemma":[0.99691737,0.0023044623,0.00018979948,0.00019371856,0.00035006416,0.000044602202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007692391,0.00062772294,0.00091860007,0.0003599327,0.00039743033,0.0012721937,0.0014167811,0.000983464,0.0025846863],"category_scores_gemma":[0.0066672857,0.00027539989,0.0011000921,0.0002546369,0.0008150976,0.0017418384,0.00053551735,0.001296121,0.0002843932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042489247,0.00016583226,0.0014904294,0.00044390274,0.00009159035,0.00045408087,0.0003121151,0.90425295,0.043452263,0.03896323,0.0009995367,0.008949295],"study_design_scores_gemma":[0.0000083703835,0.000056193017,0.00038105116,0.000015218855,0.000025184863,0.00003630053,0.000026263273,0.9896309,0.005310062,0.0040587066,0.0004377876,0.000013885528],"about_ca_topic_score_codex":0.00299623,"about_ca_topic_score_gemma":0.001496865,"teacher_disagreement_score":0.00299623,"about_ca_system_score_codex":0.0006753606,"about_ca_system_score_gemma":0.00034787323,"threshold_uncertainty_score":0.008646667},"labels":[],"label_agreement":null},{"id":"W4413094745","doi":"10.1038/s41598-025-12771-4","title":"AE-BPNN: autoencoder and backpropagation neural network-based model for lithium-ion battery state of health estimation","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Institute for Information and Communications Technology Promotion; Ministry of Science and ICT, South Korea; Iran Telecommunication Research Center","keywords":"Backpropagation; Mean squared error; Artificial neural network; Autoencoder; Computer science; Artificial intelligence; Conjugate gradient method; Dimensionality reduction; Pattern recognition (psychology); Machine learning; Statistics; Mathematics; Algorithm","score_opus":0.023333274976094186,"score_gpt":0.29575813389615374,"score_spread":0.2724248589200596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413094745","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058860775,0.0018483892,0.9320894,0.00030969357,0.00019709364,0.000101432866,0.00023558513,0.0022042561,0.0041533825],"genre_scores_gemma":[0.8365124,0.0014222118,0.1498043,0.00027699696,0.00006957499,0.0003913547,0.0007664644,0.00011145027,0.010645233],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997539,0.00003612617,0.000023515462,0.00007241898,0.00008591449,0.000028202869],"domain_scores_gemma":[0.999616,0.00012352521,0.000030873263,0.000018266686,0.00020297032,0.000008295863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005860276,0.00087591243,0.0006941563,0.00036776814,0.00029757296,0.00056083984,0.0010836605,0.0009065013,0.0011417],"category_scores_gemma":[0.0013835536,0.00039571832,0.0006000784,0.00044807038,0.00025296817,0.0006489343,0.00042349315,0.0013778349,0.00039789075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081396625,0.000089675836,0.0014917657,0.00011337937,0.00008361362,0.00008143366,0.000049848946,0.8722946,0.0054648565,0.00088464934,0.0013613935,0.1180034],"study_design_scores_gemma":[0.0000019934694,0.000013580149,0.00022548225,0.000005616153,0.0000051021716,0.000007824908,0.0000023201255,0.99847263,0.0008247735,0.00018945399,0.0002475142,0.000003646639],"about_ca_topic_score_codex":0.020334767,"about_ca_topic_score_gemma":0.012964905,"teacher_disagreement_score":0.020334767,"about_ca_system_score_codex":0.0005108663,"about_ca_system_score_gemma":0.00077922165,"threshold_uncertainty_score":0.04043281},"labels":[],"label_agreement":null},{"id":"W4413142757","doi":"10.1016/j.est.2025.118043","title":"Data-driven methods for early warning of battery thermal runaway: A review of multi-signal fusion and machine learning approaches","year":2025,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Higher Education Discipline Innovation Project; China Scholarship Council; Ministry of Education of the People's Republic of China","keywords":"Thermal runaway; Battery (electricity); Warning system; Computer science; Sensor fusion; Fusion; SIGNAL (programming language); Artificial intelligence; Machine learning; Engineering; Telecommunications; Physics","score_opus":0.08978071440432223,"score_gpt":0.34876326402590957,"score_spread":0.25898254962158734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413142757","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005307253,0.1151418,0.87343585,0.001370297,0.0007994245,0.00012204732,0.0005799664,0.0006254567,0.0026178968],"genre_scores_gemma":[0.30482912,0.19148083,0.48982987,0.002247669,0.0039312956,0.0005246601,0.0025440173,0.00039031095,0.004222202],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987355,0.00025107578,0.00017769742,0.0003035683,0.00047388737,0.000058300175],"domain_scores_gemma":[0.9952916,0.0028028914,0.0003756785,0.00022731445,0.0012378412,0.00006473075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033527347,0.0021861827,0.0029857957,0.0028726906,0.00037822858,0.0019923134,0.002340641,0.001683457,0.0013484771],"category_scores_gemma":[0.006691545,0.00071063853,0.0017948707,0.0029336307,0.00076881435,0.0025657767,0.0011809343,0.0020236636,0.00086253753],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002727984,0.0002425269,0.0038048425,0.0032937385,0.0006313378,0.00015379427,0.00010555821,0.09707953,0.005375596,0.013694913,0.0073021525,0.8680433],"study_design_scores_gemma":[0.00007657956,0.00042275226,0.005663617,0.0016117118,0.0006253375,0.0006337348,0.0002181711,0.86183214,0.013516644,0.07233866,0.042791657,0.00026886788],"about_ca_topic_score_codex":0.0022733274,"about_ca_topic_score_gemma":0.0018333617,"teacher_disagreement_score":0.0033527347,"about_ca_system_score_codex":0.00061819964,"about_ca_system_score_gemma":0.0009946997,"threshold_uncertainty_score":0.01773113},"labels":[],"label_agreement":null},{"id":"W4413144781","doi":"10.1109/ecce-asia63110.2025.11111795","title":"Integrated State of Charge and Thermal Active Balancing in Lithium-Ion Batteries: A Finite Set Model Predictive Control Approach","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Model predictive control; State of charge; Lithium (medication); Ion; Control theory (sociology); Computer science; Thermal; Temperature control; Charge (physics); Set (abstract data type); State (computer science); Control (management); Materials science; Control engineering; Engineering; Physics; Algorithm; Battery (electricity); Thermodynamics; Artificial intelligence","score_opus":0.011897937440084013,"score_gpt":0.24420128938993804,"score_spread":0.23230335194985402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413144781","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020147417,0.000613544,0.9711808,0.0002039548,0.000087526074,0.000044800145,0.000036106027,0.000487042,0.007198862],"genre_scores_gemma":[0.9705803,0.00039532632,0.026099635,0.00007201604,0.000042570988,0.00012412085,0.000050007326,0.000038012775,0.002598102],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997855,0.00004842416,0.000009953515,0.000040740848,0.00009188897,0.000023418092],"domain_scores_gemma":[0.9997429,0.0001278154,0.00004180624,0.00001566791,0.00006066511,0.000011139505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044928267,0.00078878965,0.0007134043,0.0003586771,0.0004361876,0.0010809544,0.0010282417,0.00061632745,0.0009844173],"category_scores_gemma":[0.00078842696,0.00036605052,0.0005538928,0.0003527877,0.00068165845,0.0005981195,0.0005578854,0.0008460121,0.00018262953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024524534,0.000019331006,0.00013059417,0.00005008065,0.000018102495,0.0000292078,0.000043663706,0.97970635,0.0014565408,0.0027110535,0.0002430788,0.015567449],"study_design_scores_gemma":[0.000002870168,0.0000151809145,0.0000336099,0.0000036172353,0.0000050732374,0.0000031127847,0.0000031284358,0.9986714,0.00030642716,0.00075348624,0.00019934557,0.0000026461732],"about_ca_topic_score_codex":0.01068515,"about_ca_topic_score_gemma":0.008171485,"teacher_disagreement_score":0.01068515,"about_ca_system_score_codex":0.00063285034,"about_ca_system_score_gemma":0.0008160857,"threshold_uncertainty_score":0.021245897},"labels":[],"label_agreement":null},{"id":"W4413145083","doi":"10.1109/ecce-asia63110.2025.11112253","title":"Introducing Time-lag and Bi-LSTM Neural Network for In-Operando Surface Temperature Estimation in Lithium-ion Batteries","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Lithium (medication); Lag; Artificial neural network; Lag time; Time lag; Ion; Computer science; Temperature measurement; Materials science; Artificial intelligence; Physics; Biological system; Thermodynamics","score_opus":0.006820479719079035,"score_gpt":0.2543462515988378,"score_spread":0.24752577187975874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413145083","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20896615,0.0018249325,0.7819908,0.0004481655,0.0002599211,0.00006148719,0.00022008995,0.0023900643,0.0038384076],"genre_scores_gemma":[0.9564264,0.00034025582,0.039965406,0.00014292602,0.000026032907,0.000072616596,0.00017379147,0.000047091067,0.0028056186],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985635,0.00002135486,0.000011050307,0.00004870048,0.00003754452,0.000024962908],"domain_scores_gemma":[0.99981385,0.000069184964,0.000023597999,0.00001327447,0.0000716672,0.000008428848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040762636,0.00069412816,0.0004052142,0.00024200615,0.00023428677,0.0005746547,0.0009403183,0.0007255999,0.0008143562],"category_scores_gemma":[0.0009563531,0.00031171553,0.00036146562,0.00033689995,0.00023140848,0.00083851384,0.000533466,0.00083882944,0.00031662433],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003119991,0.00021404063,0.0029549666,0.0001798001,0.00012432078,0.00014664196,0.00010216065,0.7010695,0.034099337,0.001433693,0.0018102917,0.2575533],"study_design_scores_gemma":[0.000001931567,0.000016720522,0.00018015127,0.0000029229418,0.0000046636324,0.0000069059624,0.0000035793341,0.9976082,0.0018461525,0.00023029,0.0000946648,0.0000038991975],"about_ca_topic_score_codex":0.0073182355,"about_ca_topic_score_gemma":0.0077794646,"teacher_disagreement_score":0.0073182355,"about_ca_system_score_codex":0.0005087444,"about_ca_system_score_gemma":0.00062821223,"threshold_uncertainty_score":0.014551282},"labels":[],"label_agreement":null},{"id":"W4413150460","doi":"10.1016/j.camwa.2025.08.009","title":"A comprehensive numerical approach for solving heterogeneous electrochemical-thermal model of lithium-ion battery","year":2025,"lang":"en","type":"article","venue":"Computers & Mathematics with Applications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hyperion Technologies (Canada)","funders":"","keywords":"Electrochemistry; Lithium-ion battery; Lithium (medication); Ion; Battery (electricity); Thermal; Mathematics; Applied mathematics; Materials science; Mathematical optimization; Thermodynamics; Electrode; Chemistry; Physics; Physical chemistry; Power (physics)","score_opus":0.01855631100768365,"score_gpt":0.25923037511618746,"score_spread":0.2406740641085038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413150460","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041080546,0.0019100253,0.9214883,0.00066581985,0.0002747775,0.00015313519,0.00024327784,0.00024278926,0.03394132],"genre_scores_gemma":[0.86840504,0.001641522,0.10741191,0.00035189823,0.0002204531,0.0004956209,0.00034304275,0.00014651795,0.020983847],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982387,0.000046934274,0.000012334164,0.000025638004,0.00006795433,0.00002335968],"domain_scores_gemma":[0.99975497,0.00009019378,0.000021014876,0.000017965756,0.00009568428,0.000020167647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000438779,0.00070227886,0.0010204688,0.0006084165,0.00088360347,0.001006907,0.0015270779,0.0015596197,0.0028842553],"category_scores_gemma":[0.0011256653,0.00037382735,0.0009936463,0.00071105384,0.00065952097,0.0009219711,0.0011350249,0.0009244058,0.00031529772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015782633,0.000028164151,0.00031892458,0.00007192023,0.000019354704,0.00010069209,0.00003675274,0.97945845,0.0014178852,0.013345541,0.0004146698,0.0047718897],"study_design_scores_gemma":[0.0000030400772,0.0000036944089,0.000034818193,0.0000028285606,0.000003279908,0.000007676266,0.000006536339,0.99812585,0.000100817735,0.0014013217,0.0003079614,0.000002213541],"about_ca_topic_score_codex":0.015029691,"about_ca_topic_score_gemma":0.011053292,"teacher_disagreement_score":0.015029691,"about_ca_system_score_codex":0.0007452715,"about_ca_system_score_gemma":0.0012609197,"threshold_uncertainty_score":0.029884458},"labels":[],"label_agreement":null},{"id":"W4413157174","doi":"10.1109/ecce-asia63110.2025.11112113","title":"Integrating Physics-Informed Neural Networks and GRU for SciML-based Surface Temperature Prediction Li-ion Battery","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Artificial neural network; Battery (electricity); Ion; Computer science; Electrical engineering; Engineering physics; Materials science; Physics; Artificial intelligence; Engineering; Thermodynamics; Quantum mechanics; Power (physics)","score_opus":0.009876727158844955,"score_gpt":0.26184429588863234,"score_spread":0.2519675687297874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413157174","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052482672,0.00044773697,0.9408693,0.00030612986,0.00007456428,0.00005560967,0.00018021213,0.0032883573,0.0022954114],"genre_scores_gemma":[0.8519935,0.00029689627,0.14462662,0.00022730764,0.00004991587,0.00020768787,0.00042189483,0.00022364662,0.0019525603],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980575,0.00004665731,0.00001273996,0.000053030344,0.000060115268,0.000021741205],"domain_scores_gemma":[0.9994992,0.00026785966,0.00005450562,0.000044594934,0.000113438924,0.00002044811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005267353,0.00086390454,0.0005768077,0.00060274807,0.00033377958,0.0006997029,0.0013223446,0.0009833693,0.0012066207],"category_scores_gemma":[0.0023337468,0.00049772393,0.00067135465,0.00045552492,0.000574924,0.0011221333,0.00074507867,0.0012082793,0.00030627754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001800607,0.000013720679,0.00035174735,0.000018867646,0.000014645562,0.000027320028,0.000013446524,0.98009664,0.0011128588,0.0009802479,0.0002145418,0.017138008],"study_design_scores_gemma":[5.4517477e-7,0.0000019199215,0.000019314537,5.730649e-7,9.262183e-7,0.0000012379312,6.779157e-7,0.99938595,0.00020369781,0.00035010552,0.00003395249,0.0000011449264],"about_ca_topic_score_codex":0.017826024,"about_ca_topic_score_gemma":0.017789861,"teacher_disagreement_score":0.017826024,"about_ca_system_score_codex":0.0009853988,"about_ca_system_score_gemma":0.0011778403,"threshold_uncertainty_score":0.035444498},"labels":[],"label_agreement":null},{"id":"W4413182217","doi":"10.1016/j.ceramint.2025.08.085","title":"Composite phase change material based on double network pore structure for enhanced shape stability and compression resistance in lithium-ion battery thermal management","year":2025,"lang":"en","type":"article","venue":"Ceramics International","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Key Technology Research and Development Program of Shandong; Canadian Anesthesiologists' Society; Cook Family Foundation","keywords":"Materials science; Composite number; Thermal stability; Lithium (medication); Composite material; Lithium-ion battery; Ion; Compression (physics); Battery (electricity); Phase-change material; Phase (matter); Structural stability; Thermal; Stability (learning theory); Chemical engineering; Thermodynamics; Structural engineering; Computer science","score_opus":0.021616491332781755,"score_gpt":0.3006999089376128,"score_spread":0.279083417604831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413182217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98559046,0.00088661344,0.010373389,0.000077466466,0.000105702,0.000021529435,0.000104065126,0.0002173295,0.002623359],"genre_scores_gemma":[0.99499065,0.00023325761,0.003217801,0.000024209461,0.0000112115595,0.000015612686,0.000051052695,0.000017509241,0.0014385991],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999559,0.000003879446,0.000002712115,0.000010961243,0.000017744578,0.0000087123035],"domain_scores_gemma":[0.99993646,0.000011210782,0.00001556053,0.00000485634,0.000021202097,0.000010683761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000071617615,0.00013641173,0.00013592147,0.0002467993,0.00014061373,0.00022035831,0.00020889923,0.00022200916,0.0010768479],"category_scores_gemma":[0.00012060788,0.00011395199,0.0001365588,0.00017341776,0.00013321864,0.00045099368,0.00015115547,0.00027112025,0.00019820537],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106999294,0.00005539579,0.000120863704,0.000085538304,0.000005374193,0.00004596157,0.000015576123,0.0005413255,0.9932342,0.0005425864,0.000158283,0.005087912],"study_design_scores_gemma":[0.000019317957,0.00023966878,0.0010057979,0.0000042063625,0.000021767351,0.00010920055,0.000021043326,0.007548655,0.98842657,0.0000934146,0.0024984495,0.000011803763],"about_ca_topic_score_codex":0.00016474625,"about_ca_topic_score_gemma":0.000644113,"teacher_disagreement_score":0.0010768479,"about_ca_system_score_codex":0.0001246945,"about_ca_system_score_gemma":0.00010783207,"threshold_uncertainty_score":0.0036023855},"labels":[],"label_agreement":null},{"id":"W4413290576","doi":"10.1016/j.est.2025.117994","title":"Data-driven classification of lithium-ion batteries for second-life applications","year":2025,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Lithium (medication); Ion; Computer science; Psychology; Physics; Psychiatry","score_opus":0.03790242334402872,"score_gpt":0.3083679501305941,"score_spread":0.2704655267865654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413290576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8107008,0.0016730631,0.1688403,0.0017471907,0.00044444192,0.00033857097,0.006910307,0.004233429,0.0051118787],"genre_scores_gemma":[0.95925355,0.00026308707,0.03071176,0.00016984963,0.000057222358,0.00016262858,0.00575602,0.00004828625,0.0035777811],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997545,0.000035152556,0.000027961189,0.000075527045,0.00007340773,0.000033365548],"domain_scores_gemma":[0.99862313,0.00051814696,0.00011176924,0.00011452042,0.0005745132,0.00005797218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070664764,0.0010027889,0.0005713585,0.0011616051,0.00028062618,0.0009996002,0.001336842,0.0010931195,0.0011758036],"category_scores_gemma":[0.0029269475,0.00020949783,0.000724909,0.00067296665,0.00018916414,0.00089127367,0.00051170035,0.00082842837,0.00093294133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080860796,0.0010444728,0.089990854,0.00032161627,0.0001603049,0.00050804776,0.00018238039,0.5030777,0.015030435,0.00097334816,0.0142237935,0.37367842],"study_design_scores_gemma":[0.000010382476,0.00008758089,0.0053253267,0.000017366181,0.000013255818,0.00005674138,0.00006145993,0.98528105,0.006749898,0.00090523553,0.0014771901,0.0000145191225],"about_ca_topic_score_codex":0.007433275,"about_ca_topic_score_gemma":0.011321357,"teacher_disagreement_score":0.007433275,"about_ca_system_score_codex":0.00094632024,"about_ca_system_score_gemma":0.00066993345,"threshold_uncertainty_score":0.014779985},"labels":[],"label_agreement":null},{"id":"W4413319784","doi":"10.1109/compel57166.2025.11121196","title":"A Simple Sensorless MTPA Control Scheme for PMSM in PV-Fed Water Pumps","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Control theory (sociology); Simple (philosophy); Scheme (mathematics); Control (management); Control engineering; Computer science; Machine control; Mathematics; Engineering; Artificial intelligence","score_opus":0.01165519439664796,"score_gpt":0.28147284018606755,"score_spread":0.2698176457894196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413319784","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038991146,0.00090432185,0.9518776,0.00017848398,0.00032905873,0.0001774167,0.000053655203,0.0008249503,0.0066633984],"genre_scores_gemma":[0.94292504,0.00031956314,0.051913165,0.000055412027,0.00007737788,0.00013722669,0.000033952125,0.000019555575,0.004518686],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998584,0.00002023539,0.000011830855,0.00003517794,0.00006587667,0.000008436524],"domain_scores_gemma":[0.99991286,0.000013004116,0.000020801694,0.000011453188,0.00003587095,0.000005910322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013655216,0.00036386348,0.00032482023,0.00018673715,0.0002693299,0.00033310088,0.00059767737,0.00034246693,0.0013004799],"category_scores_gemma":[0.00023828939,0.00013741346,0.00016233795,0.000170051,0.00022204722,0.00030487883,0.00022894044,0.0003212371,0.00035482922],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027004984,0.00011274328,0.00057672855,0.0009624412,0.000037628266,0.00035989977,0.00023978848,0.04834294,0.4507022,0.008785376,0.0029901331,0.4866202],"study_design_scores_gemma":[0.00019080426,0.0018825537,0.004187211,0.00011275599,0.000056103145,0.00094763126,0.000061601735,0.8110722,0.12813991,0.003124523,0.050152197,0.0000726084],"about_ca_topic_score_codex":0.00050757633,"about_ca_topic_score_gemma":0.0005828125,"teacher_disagreement_score":0.0013004799,"about_ca_system_score_codex":0.00013563895,"about_ca_system_score_gemma":0.0001782317,"threshold_uncertainty_score":0.004350543},"labels":[],"label_agreement":null},{"id":"W4413343976","doi":"10.1109/tits.2025.3592630","title":"Adaptive Feasibility Area Estimation to Enhance Cybersecurity of Electrolysis-Based Hydrogen Refueling Stations Integrated With Power Distribution Systems","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Power (physics); Computer science; Electric power system; Computer security; Systems engineering; Reliability engineering; Engineering; Physics","score_opus":0.01633697813274569,"score_gpt":0.2860936151095921,"score_spread":0.2697566369768464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413343976","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10559522,0.00030735985,0.8911202,0.00029070833,0.000039211805,0.00004614639,0.00008080736,0.00041873238,0.0021016498],"genre_scores_gemma":[0.97788197,0.000102555234,0.02071701,0.000041485924,0.00001736045,0.000043186898,0.00007626173,0.000016763122,0.0011033327],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982065,0.000042739714,0.000010554886,0.000054578817,0.000034624383,0.000036732647],"domain_scores_gemma":[0.99939036,0.00034734752,0.00009867225,0.00002751323,0.00010691341,0.000029296983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056042895,0.00074603787,0.00061530387,0.00050775055,0.00023043177,0.00071943796,0.0007659066,0.00060210907,0.001191831],"category_scores_gemma":[0.002006923,0.00047539413,0.0005362631,0.00029880163,0.00036896107,0.001038869,0.000699013,0.00096362625,0.0001192873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003629017,0.000020030902,0.00085123134,0.000015046456,0.0000145288295,0.000032403317,0.000015083032,0.987242,0.0005837169,0.001057067,0.00013852055,0.00999409],"study_design_scores_gemma":[0.0000012151311,0.000005869054,0.000096044234,9.410441e-7,0.0000018136817,0.0000024410156,0.0000018866303,0.9994092,0.000094682524,0.00035014318,0.00003464861,0.000001098502],"about_ca_topic_score_codex":0.009942735,"about_ca_topic_score_gemma":0.0069080107,"teacher_disagreement_score":0.009942735,"about_ca_system_score_codex":0.00062437565,"about_ca_system_score_gemma":0.00088503846,"threshold_uncertainty_score":0.019769728},"labels":[],"label_agreement":null},{"id":"W4413345043","doi":"10.1016/j.ijhydene.2025.150912","title":"Optimal planning and stochastic energy management of a smart microgrid for green transportation and ammonia production with demand response","year":2025,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Sultan Qaboos University; Sotacarbo","keywords":"Microgrid; Production (economics); Ammonia production; Demand response; Environmental science; Energy management; Environmental economics; Ammonia; Renewable energy; Computer science; Energy (signal processing); Biochemical engineering; Microeconomics; Chemistry; Economics; Electricity; Mathematics; Engineering; Electrical engineering","score_opus":0.007944822415847269,"score_gpt":0.2569794533549974,"score_spread":0.24903463093915013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413345043","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40633568,0.00057357963,0.56792194,0.0013856912,0.00019944251,0.00025582954,0.00071100367,0.000488689,0.022128152],"genre_scores_gemma":[0.9912344,0.00005045897,0.0071518864,0.0000280353,0.000012538592,0.00004673952,0.00006488929,0.0000147217515,0.0013963694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966514,0.00010478877,0.0000122407655,0.00006954601,0.00005628872,0.00009197189],"domain_scores_gemma":[0.99949956,0.0002470611,0.00007899591,0.000020267946,0.000095438125,0.000058719223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006852921,0.00074747036,0.0011777304,0.0004603296,0.0005958996,0.0011871792,0.00069912063,0.0009043369,0.0025014612],"category_scores_gemma":[0.0013111583,0.00078868703,0.0006823637,0.0005377203,0.00060719793,0.0008128486,0.0007312803,0.0007686291,0.00016799278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028555769,0.000010609305,0.00011715057,0.000007236304,0.000007403275,0.000019823665,0.000006387752,0.9979043,0.00016709644,0.00064945547,0.00011629545,0.0009657681],"study_design_scores_gemma":[0.0000032043624,0.000010527591,0.000064637155,6.621479e-7,0.0000024884728,0.0000018083803,0.0000053156728,0.9994382,0.000049465718,0.00038576277,0.000036377063,0.000001570682],"about_ca_topic_score_codex":0.023788719,"about_ca_topic_score_gemma":0.022653108,"teacher_disagreement_score":0.023788719,"about_ca_system_score_codex":0.0013904294,"about_ca_system_score_gemma":0.0016606593,"threshold_uncertainty_score":0.047300518},"labels":[],"label_agreement":null},{"id":"W4413425435","doi":"10.21203/rs.3.rs-7162713/v1","title":"A Case Study to Compare the Methods of SOC Estimation for Lithium-ion Batteries Using Second-order RC Circuit Model","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cooke Aquaculture (Canada)","funders":"","keywords":"Lithium (medication); Estimation; Order (exchange); Computer science; Ion; Chemistry; Engineering; Systems engineering; Psychology; Economics","score_opus":0.23092362272199282,"score_gpt":0.5000895303047149,"score_spread":0.2691659075827221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413425435","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6246311,0.001888455,0.35747126,0.00046640303,0.0001489814,0.0003684708,0.00079277396,0.001434376,0.012798153],"genre_scores_gemma":[0.964092,0.00022344838,0.03176866,0.00002131101,0.000016684238,0.00006427242,0.0001974106,0.000044607197,0.0035716079],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947387,0.00023428584,0.000029058618,0.00006950699,0.00014182804,0.00005147431],"domain_scores_gemma":[0.99762374,0.0015676294,0.00007652094,0.00021335512,0.00048645033,0.00003236407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009920798,0.0007409952,0.00060265185,0.00066317036,0.00043963082,0.0009611813,0.0010107066,0.001303207,0.0029378082],"category_scores_gemma":[0.003035459,0.00021336529,0.0006868152,0.00065373234,0.00025590882,0.0007129982,0.00036913028,0.0005156885,0.00048770022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017295247,0.0005424566,0.009612573,0.0012243402,0.00020041718,0.0014169684,0.0004244626,0.8027288,0.01889682,0.0071656876,0.0035494517,0.15250857],"study_design_scores_gemma":[0.00008710237,0.00041971935,0.0027950779,0.00002682782,0.00008268177,0.00038180142,0.00023118326,0.9742398,0.017412363,0.0011353057,0.0031569083,0.00003119317],"about_ca_topic_score_codex":0.010538639,"about_ca_topic_score_gemma":0.008962126,"teacher_disagreement_score":0.010538639,"about_ca_system_score_codex":0.00072119915,"about_ca_system_score_gemma":0.00036954012,"threshold_uncertainty_score":0.020954609},"labels":[],"label_agreement":null},{"id":"W4413513773","doi":"10.1109/isie62713.2025.11124657","title":"Levelized Cost Analysis of Second-Life and New Lithium-Ion Batteries in Microgrid Applications","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Microgrid; Lithium (medication); Cost of electricity by source; Ion; Computer science; Reliability engineering; Electrical engineering; Power (physics); Electricity generation; Engineering; Chemistry; Physics; Voltage","score_opus":0.02255758107919502,"score_gpt":0.2965460732545989,"score_spread":0.2739884921754039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413513773","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83219725,0.0014960717,0.13050719,0.00060566235,0.000054239754,0.00020580915,0.0013363323,0.0003115825,0.033285912],"genre_scores_gemma":[0.99162745,0.00024378154,0.0053291344,0.000019208763,0.000003544204,0.000051259285,0.00018189449,0.000023947632,0.00251984],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996805,0.00010290389,0.000008997808,0.000026336447,0.000109148634,0.00007199617],"domain_scores_gemma":[0.9996288,0.00018660031,0.00003671548,0.00002537407,0.00009890337,0.000023661341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006559651,0.0006550096,0.00064970995,0.00063507777,0.00028694022,0.0013441676,0.0008574966,0.0004553493,0.0025457032],"category_scores_gemma":[0.0013210067,0.0004403596,0.00064046716,0.0008817628,0.00032593295,0.0011446238,0.0004694025,0.0004670846,0.00014190086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004034454,0.000008444812,0.00046358007,0.000028650886,0.000012773353,0.000041585023,0.000008991942,0.9939009,0.00038839376,0.0015254504,0.00017480203,0.0034061787],"study_design_scores_gemma":[0.000008993339,0.00005578346,0.0009350078,0.000007915823,0.000021795611,0.000017958375,0.000043631797,0.99653083,0.00062863075,0.0011936133,0.0005478839,0.000007955175],"about_ca_topic_score_codex":0.044838917,"about_ca_topic_score_gemma":0.044019975,"teacher_disagreement_score":0.044838917,"about_ca_system_score_codex":0.004259371,"about_ca_system_score_gemma":0.0022807915,"threshold_uncertainty_score":0.08915585},"labels":[],"label_agreement":null},{"id":"W4413557196","doi":"10.1109/isie62713.2025.11124745","title":"A Unified Piecewise Modeling Framework for Battery Knee Point Detection and State of Health Estimation","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Piecewise; Battery (electricity); Computer science; Estimation; State (computer science); Point (geometry); Algorithm; Engineering; Mathematics; Physics","score_opus":0.02235022881849933,"score_gpt":0.3080398301065324,"score_spread":0.28568960128803306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413557196","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014493269,0.00017743658,0.98357576,0.00007587476,0.000016934162,0.000021826354,0.00013773989,0.00046330405,0.0010377617],"genre_scores_gemma":[0.8717622,0.0006165357,0.12150239,0.00010879819,0.000056619832,0.00015687871,0.00065556134,0.00010561205,0.0050354335],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983716,0.000022075406,0.000010708179,0.00005071065,0.00005572068,0.000023612529],"domain_scores_gemma":[0.9997565,0.000070065806,0.0000513353,0.000028131197,0.000079907084,0.000014035843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033001803,0.00077158294,0.00048005598,0.0006790733,0.00021039661,0.0006370091,0.0009891142,0.00055823196,0.0013350868],"category_scores_gemma":[0.0010812114,0.00038969636,0.0006691996,0.00044696932,0.00030217462,0.0009284557,0.00069367356,0.00065374357,0.00039377803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000819779,0.00003724795,0.0026265958,0.00007222895,0.000043289223,0.00012240255,0.00005883612,0.88696086,0.009923291,0.005473565,0.00071147707,0.093888246],"study_design_scores_gemma":[9.2735206e-7,0.000013494366,0.00034971576,0.0000035452274,0.000006244562,0.000024527923,0.0000055319697,0.99713314,0.0008734269,0.0012759869,0.00030828567,0.0000052150895],"about_ca_topic_score_codex":0.011120676,"about_ca_topic_score_gemma":0.011526264,"teacher_disagreement_score":0.011120676,"about_ca_system_score_codex":0.000481686,"about_ca_system_score_gemma":0.00077447493,"threshold_uncertainty_score":0.022111893},"labels":[],"label_agreement":null},{"id":"W4413579222","doi":"10.1007/s10973-025-14647-1","title":"Indirect liquid-cooled lithium-ion battery module with improved circuitous minichannel cold plate design: a numerical study involving the effect of different flow configurations","year":2025,"lang":"en","type":"article","venue":"Journal of Thermal Analysis and Calorimetry","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Lithium (medication); Ion; Materials science; Lithium-ion battery; Battery (electricity); Flow (mathematics); Nuclear engineering; Chemistry; Engineering; Thermodynamics; Mechanics; Power (physics); Physics","score_opus":0.010024211162553235,"score_gpt":0.24513959859243636,"score_spread":0.23511538742988314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413579222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8893748,0.00023762275,0.10224154,0.000085109,0.00006121367,0.00006368992,0.00016181792,0.00054327224,0.0072310064],"genre_scores_gemma":[0.9809003,0.000063237996,0.01778211,0.000008558479,0.0000045387033,0.000040486717,0.00003240433,0.000024861993,0.0011434429],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999372,0.000011779547,0.000001952499,0.000014211231,0.000023012919,0.000011882038],"domain_scores_gemma":[0.99986887,0.000039122573,0.000026254884,0.00001460956,0.000035693054,0.00001550701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015491796,0.00027718983,0.0004358588,0.00017491687,0.00030336677,0.0005099664,0.00090464327,0.0003863173,0.0019366274],"category_scores_gemma":[0.00028509824,0.00018473578,0.00026612217,0.00020811018,0.00029674254,0.00032335817,0.00025977078,0.00025107377,0.0001855602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085203437,0.00028811072,0.003605436,0.0004648965,0.00007122263,0.00022283598,0.00010691436,0.56868833,0.3985729,0.0049874927,0.00083457574,0.02130535],"study_design_scores_gemma":[0.000081268954,0.0006942193,0.0020347808,0.000011308603,0.00007872336,0.00006352659,0.0000347382,0.9145947,0.081024945,0.00020528608,0.0011451872,0.000031364678],"about_ca_topic_score_codex":0.0019361528,"about_ca_topic_score_gemma":0.0030992106,"teacher_disagreement_score":0.0019366274,"about_ca_system_score_codex":0.000511216,"about_ca_system_score_gemma":0.0007561579,"threshold_uncertainty_score":0.0064786077},"labels":[],"label_agreement":null},{"id":"W4413623840","doi":"10.64628/aa.kch9st74m","title":"The battery revolution is exciting, but remember they pollute too","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Battery (electricity); Computer security; Computer science; Internet privacy; Physics; Power (physics)","score_opus":0.0359367275622286,"score_gpt":0.2731213676481272,"score_spread":0.23718464008589862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413623840","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031132686,0.09690768,0.0049138227,0.72286826,0.084281355,0.000015681006,0.00021608121,0.00026102542,0.087422855],"genre_scores_gemma":[0.07286059,0.1554065,0.007371023,0.40045324,0.09473047,0.000057282785,0.00034879948,0.0006310858,0.268141],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981071,0.00029126802,0.00005582919,0.00020430682,0.0011276479,0.00021386743],"domain_scores_gemma":[0.99631506,0.001108782,0.0001939371,0.00039006036,0.0013486601,0.00064348854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002496837,0.00064704014,0.0006415332,0.0006835405,0.0023122577,0.0065137236,0.0010481557,0.004871847,0.028051885],"category_scores_gemma":[0.008074822,0.00027547366,0.0006343183,0.00070980605,0.0033274386,0.015031881,0.0022673493,0.011093368,0.016862286],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002066896,0.00007119117,0.0009269459,0.0005186861,0.00003384573,0.00023542889,0.00037036292,0.00015113976,0.0024721222,0.14389718,0.749003,0.10211342],"study_design_scores_gemma":[0.000009946261,0.00004030753,0.00028501218,0.00011577077,0.000006702947,0.00021645748,0.00045414094,0.000057648962,0.000661226,0.037445873,0.9606884,0.000018502242],"about_ca_topic_score_codex":0.0012970824,"about_ca_topic_score_gemma":0.0029148976,"teacher_disagreement_score":0.028051885,"about_ca_system_score_codex":0.0011981055,"about_ca_system_score_gemma":0.0012116273,"threshold_uncertainty_score":0.09384292},"labels":[],"label_agreement":null},{"id":"W4413655331","doi":"10.1016/j.colsurfa.2025.138116","title":"AI-driven optimization for enhancing magnesium alloy battery cycle life","year":2025,"lang":"en","type":"article","venue":"Colloids and Surfaces A Physicochemical and Engineering Aspects","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"New Brunswick Community College; Université de Moncton","funders":"","keywords":"Battery (electricity); Magnesium; Alloy; Magnesium alloy; Materials science; Metallurgy; Chemical engineering; Computer science; Engineering; Physics; Thermodynamics","score_opus":0.004732766500115083,"score_gpt":0.21819770460233157,"score_spread":0.21346493810221648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413655331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.818162,0.0019659176,0.13052133,0.00057189504,0.00018714342,0.00008121805,0.0002162376,0.00062974397,0.047664456],"genre_scores_gemma":[0.98947996,0.00013415817,0.007853127,0.00004014816,0.0000072990106,0.000023752224,0.000042048512,0.00003090886,0.002388536],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99995184,0.0000052686937,0.0000017985847,0.000007893565,0.000020303201,0.000012908898],"domain_scores_gemma":[0.99993193,0.000022827702,0.00001051933,0.0000046133787,0.000024385346,0.000005738202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012144087,0.00029080862,0.00024317417,0.00024418833,0.00022061981,0.00052625756,0.0004670715,0.0003862959,0.0019863634],"category_scores_gemma":[0.00031699552,0.00012603767,0.00020747044,0.0002115916,0.00015929969,0.00025042874,0.00032555932,0.00021753117,0.00031055248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039345364,0.000253654,0.0015336092,0.00034716382,0.00007689249,0.00019400637,0.000074851065,0.6869068,0.240705,0.011346826,0.002015891,0.056151852],"study_design_scores_gemma":[0.000013706312,0.000113994276,0.00036100304,0.0000055911296,0.00001466224,0.000024782119,0.000026329157,0.97826946,0.018191274,0.0010164046,0.0019549755,0.00000771297],"about_ca_topic_score_codex":0.0012638369,"about_ca_topic_score_gemma":0.002512864,"teacher_disagreement_score":0.0019863634,"about_ca_system_score_codex":0.00044600916,"about_ca_system_score_gemma":0.00034919282,"threshold_uncertainty_score":0.006645024},"labels":[],"label_agreement":null},{"id":"W4413734633","doi":"10.1007/978-3-032-03534-9_29","title":"Addressing Requirements for Maintenance Performance Indicators During the Ramp-Up of Battery Production","year":2025,"lang":"en","type":"book-chapter","venue":"IFIP advances in information and communication technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Reliability engineering; Production (economics); Battery (electricity); Computer science; Environmental science; Engineering; Economics; Power (physics)","score_opus":0.021660129797033398,"score_gpt":0.29094648487149904,"score_spread":0.26928635507446563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413734633","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23820253,0.0040703975,0.66592854,0.0016996866,0.0005541516,0.00059765583,0.0014129415,0.005874652,0.08165938],"genre_scores_gemma":[0.9196538,0.00073029543,0.0696909,0.00012482681,0.00017215146,0.00018578576,0.0012028561,0.00037739394,0.007862052],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99843806,0.00029914043,0.000106664746,0.00013721871,0.0008769323,0.00014196214],"domain_scores_gemma":[0.9907658,0.0049944893,0.00060344656,0.00047770163,0.002989215,0.00016935985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029718434,0.0006727249,0.0006549381,0.0011901299,0.00042058362,0.0022070913,0.0013461758,0.00076597003,0.0022214127],"category_scores_gemma":[0.010642429,0.00023793773,0.00018778598,0.00082171545,0.00025586173,0.0018555473,0.00068106235,0.0007750047,0.0011562912],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013359038,0.0003365138,0.012421208,0.0009863303,0.000027266395,0.0007570795,0.0008388839,0.057075746,0.1706275,0.021487769,0.014166104,0.7199397],"study_design_scores_gemma":[0.00010053908,0.001962909,0.047314793,0.0006724037,0.00012510215,0.0023287425,0.0015098571,0.5804596,0.27811444,0.025941955,0.061281063,0.00018857786],"about_ca_topic_score_codex":0.0011228947,"about_ca_topic_score_gemma":0.0012224248,"teacher_disagreement_score":0.0029718434,"about_ca_system_score_codex":0.00059047376,"about_ca_system_score_gemma":0.0007184949,"threshold_uncertainty_score":0.015716791},"labels":[],"label_agreement":null},{"id":"W4413785701","doi":"10.1109/access.2025.3603845","title":"A Comprehensive Review of Universal Fast-Charging Techniques for 400-V and 800-V Electric Vehicles","year":2025,"lang":"en","type":"review","venue":"IEEE Access","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Engineering physics; Electrical engineering; Physics; Engineering","score_opus":0.050613414351845715,"score_gpt":0.37932740458520176,"score_spread":0.328713990233356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413785701","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003957829,0.99336135,0.0011120021,0.00015752092,0.00027139726,0.000024145398,0.00007657675,0.000028753822,0.004572465],"genre_scores_gemma":[0.0016672764,0.9943001,0.0012163895,0.00016946871,0.00016159641,0.000023319544,0.00012285485,0.000008628717,0.0023302638],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999681,0.000037590347,0.000052167332,0.00006536426,0.00013752928,0.000026394746],"domain_scores_gemma":[0.99953973,0.00020222647,0.000062402236,0.000020669277,0.00015199251,0.00002291457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059112237,0.0010145752,0.0009826131,0.0033574558,0.00033195835,0.00086405023,0.00090279157,0.00083527376,0.0065197716],"category_scores_gemma":[0.0009419041,0.0005065968,0.00071655534,0.003459165,0.0002704062,0.0020272965,0.0006210571,0.0010419785,0.0028959105],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005402263,0.00010125901,0.00016074831,0.04469969,0.00007954735,0.00016226267,0.000091824804,0.0008221797,0.0049243965,0.0074169207,0.02888395,0.91260326],"study_design_scores_gemma":[0.0000052544106,0.00012146048,0.00047685739,0.0037108005,0.000092246846,0.0005468717,0.000045621015,0.00017601215,0.0015549172,0.0011406261,0.9921063,0.000022951153],"about_ca_topic_score_codex":0.0011810894,"about_ca_topic_score_gemma":0.0018399399,"teacher_disagreement_score":0.0065197716,"about_ca_system_score_codex":0.00042684376,"about_ca_system_score_gemma":0.0012375165,"threshold_uncertainty_score":0.02181077},"labels":[],"label_agreement":null},{"id":"W4413983116","doi":"10.1016/j.tsep.2025.104068","title":"Optimizing cooling performance and energy efficiency in electric vehicle battery pack: A composite air–liquid thermal management","year":2025,"lang":"en","type":"article","venue":"Thermal Science and Engineering Progress","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Battery pack; Composite number; Computer cooling; Electric vehicle; Battery (electricity); Automotive engineering; Air cooling; Materials science; Thermal; Energy management; Thermal management of electronic devices and systems; Energy (signal processing); Environmental science; Nuclear engineering; Engineering; Mechanical engineering; Composite material; Meteorology; Physics; Thermodynamics","score_opus":0.005522321558395415,"score_gpt":0.22293995715974582,"score_spread":0.2174176356013504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413983116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98351985,0.0003496957,0.01438083,0.000032909775,0.000020248419,0.00001050379,0.000022115259,0.000079201556,0.0015847088],"genre_scores_gemma":[0.9971269,0.00006554839,0.0015879928,0.000007038605,0.0000044945496,0.0000062448153,0.000018636945,0.000013409497,0.0011697802],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99994385,0.0000068140926,0.0000032826279,0.00001348371,0.000018201472,0.000014226214],"domain_scores_gemma":[0.9999492,0.000009756544,0.000007694067,0.0000043707514,0.000023931376,0.000004926462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000105742496,0.00018567027,0.00027888262,0.00017552552,0.00023041379,0.00039453537,0.000357243,0.00017203696,0.0011982659],"category_scores_gemma":[0.00012478692,0.00013679339,0.0002009145,0.00020106511,0.000114748305,0.000493079,0.00021668366,0.00016036589,0.00021119555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094215607,0.00031965526,0.0039256373,0.00016819623,0.000032817057,0.00006277666,0.0000730355,0.027878275,0.9162716,0.00050946756,0.0004507909,0.04936553],"study_design_scores_gemma":[0.000043221775,0.0009916442,0.0071869623,0.000011848776,0.00009508977,0.00007592852,0.00010670856,0.19964862,0.7891645,0.00019611705,0.0024597074,0.000019684661],"about_ca_topic_score_codex":0.0006571058,"about_ca_topic_score_gemma":0.0016578789,"teacher_disagreement_score":0.0011982659,"about_ca_system_score_codex":0.00018414485,"about_ca_system_score_gemma":0.0001938354,"threshold_uncertainty_score":0.004008591},"labels":[],"label_agreement":null},{"id":"W4414015776","doi":"10.11159/eee25.116","title":"Thermal Management in Lithium-Ion Batteries for Heat Distribution and Performance in Series and Parallel Configurations","year":2025,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Science and Technology Council; National Taiwan Ocean University","keywords":"Lithium (medication); Series (stratigraphy); Thermal management of electronic devices and systems; Ion; Thermal; Computer science; Materials science; Nuclear engineering; Mechanical engineering; Thermodynamics; Engineering; Chemistry; Physics; Geology","score_opus":0.006730678164005837,"score_gpt":0.21870779679002986,"score_spread":0.21197711862602403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414015776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96630627,0.0010423881,0.02883486,0.0000795312,0.00003061567,0.000028985782,0.00006229518,0.00033393007,0.003281093],"genre_scores_gemma":[0.9977258,0.00015558036,0.0016117954,0.000006229995,0.0000038080254,0.0000092930995,0.000023429295,0.00001939906,0.00044463898],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998907,0.000015817455,0.00000825892,0.000026656358,0.000044050998,0.000014455679],"domain_scores_gemma":[0.99983,0.000044651148,0.000029984569,0.000030372814,0.000053409756,0.000011485663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021089512,0.0003580277,0.0003290918,0.0002775357,0.00030666264,0.0005255936,0.0005610652,0.00019861496,0.0010405197],"category_scores_gemma":[0.0006586463,0.0001836497,0.0002842086,0.00030677873,0.00030004085,0.0010003013,0.00041278786,0.00021930548,0.00024809712],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007351235,0.00022565351,0.0076433974,0.00034399307,0.000049588365,0.0003973044,0.00036442798,0.17245506,0.71693164,0.002254996,0.0007202631,0.097878605],"study_design_scores_gemma":[0.000030049274,0.00078542146,0.0062458115,0.000029218787,0.00006568456,0.00052279205,0.0002766026,0.4713325,0.5143923,0.0028642993,0.0034107524,0.000044632136],"about_ca_topic_score_codex":0.00051644235,"about_ca_topic_score_gemma":0.0011368538,"teacher_disagreement_score":0.0010405197,"about_ca_system_score_codex":0.00043550975,"about_ca_system_score_gemma":0.00022037953,"threshold_uncertainty_score":0.0034808517},"labels":[],"label_agreement":null},{"id":"W4414035124","doi":"10.1007/s40843-025-3514-3","title":"Electrolyte additives for extending the operational temperature range of rechargeable lithium batteries","year":2025,"lang":"en","type":"article","venue":"Science China Materials","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Materials science; Lithium (medication); Electrolyte; Range (aeronautics); Atmospheric temperature range; Chemical engineering; Composite material; Thermodynamics; Engineering; Electrode; Chemistry; Physical chemistry; Medicine","score_opus":0.010284662308960971,"score_gpt":0.2833795455162993,"score_spread":0.2730948832073383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414035124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9083518,0.040497683,0.02795809,0.00079535274,0.0012128357,0.0001559197,0.0005922276,0.0010064787,0.019429613],"genre_scores_gemma":[0.96206045,0.014664415,0.013740157,0.00025953315,0.00018097405,0.00007943248,0.00039906535,0.00013127789,0.008484704],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999056,0.000010953231,0.000015370033,0.00001925137,0.00003120208,0.000017571652],"domain_scores_gemma":[0.99989736,0.000017337437,0.000021640715,0.000007666957,0.000042549116,0.000013417216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014993802,0.00051232235,0.00024311437,0.000543241,0.00028471442,0.0005332924,0.0003683882,0.00035789935,0.0016193844],"category_scores_gemma":[0.0003720112,0.00018471674,0.0002276399,0.00037949329,0.00013382174,0.00084706355,0.000489542,0.00056888134,0.00068991823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029691344,0.00006438693,0.00021742425,0.00079358695,0.00001693666,0.00017322294,0.000099740784,0.0004580353,0.96288234,0.002031596,0.000646136,0.03231961],"study_design_scores_gemma":[0.000015095364,0.00014564586,0.00018768334,0.0000420218,0.000043368367,0.00006691271,0.00003020638,0.0010554884,0.9838479,0.00020125961,0.01435217,0.000012134313],"about_ca_topic_score_codex":0.00028188192,"about_ca_topic_score_gemma":0.00091388763,"teacher_disagreement_score":0.0016193844,"about_ca_system_score_codex":0.00017355423,"about_ca_system_score_gemma":0.00022724607,"threshold_uncertainty_score":0.0054174066},"labels":[],"label_agreement":null},{"id":"W4414048897","doi":"10.1016/j.rser.2025.116247","title":"Review of renewable energy-based products application for battery thermal management","year":2025,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Ministero dell’Istruzione, dell’Università e della Ricerca; European Commission","keywords":"Overheating (electricity); Renewable energy; Battery (electricity); Thermal runaway; Greenhouse gas; Energy storage; Energy consumption","score_opus":0.010421396538046298,"score_gpt":0.2580621189197705,"score_spread":0.2476407223817242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414048897","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00072143984,0.992359,0.00094479875,0.00026805495,0.0005940359,0.000027570213,0.00018618834,0.000039285304,0.004859675],"genre_scores_gemma":[0.0031043936,0.9922387,0.00095875585,0.0002895265,0.00031192662,0.000030022058,0.0003404137,0.000013942818,0.002712249],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99966955,0.000040705443,0.000058891183,0.000057670997,0.0001470459,0.000026109361],"domain_scores_gemma":[0.9995524,0.00016466381,0.00007386955,0.00002148765,0.00016359975,0.000023909313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046921574,0.0009321567,0.0012124821,0.003012492,0.0003560143,0.0010671827,0.0009349394,0.0008787137,0.009081244],"category_scores_gemma":[0.0007638846,0.00039597304,0.0010698105,0.0036696608,0.00019674051,0.0015260384,0.00059200596,0.0007945422,0.0035208797],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012550374,0.000118316486,0.00031958584,0.0758907,0.00018094042,0.0003842013,0.000089782654,0.00078611745,0.014093127,0.004875638,0.051998228,0.8511379],"study_design_scores_gemma":[0.0000062670624,0.00009480439,0.00053393294,0.003010041,0.00016267349,0.0005418668,0.000034969005,0.00015855186,0.0024617265,0.0007309226,0.99224347,0.000020718648],"about_ca_topic_score_codex":0.0010261089,"about_ca_topic_score_gemma":0.0013544487,"teacher_disagreement_score":0.009081244,"about_ca_system_score_codex":0.0003665233,"about_ca_system_score_gemma":0.0009297366,"threshold_uncertainty_score":0.030379772},"labels":[],"label_agreement":null},{"id":"W4414185110","doi":"10.1049/hve2.70085","title":"Multiterminal High‐Voltage Direct Current Projects: A Comprehensive Assessment and Future Prospects","year":2025,"lang":"en","type":"article","venue":"High Voltage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Renewable energy; Resource (disambiguation); Sustainable development; Power (physics); Electric power system; Sustainability; Field (mathematics)","score_opus":0.014053511180831913,"score_gpt":0.30357613471266104,"score_spread":0.2895226235318291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414185110","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14598021,0.73151267,0.021378174,0.012453224,0.00053313613,0.00023743855,0.0017886312,0.00021610573,0.08590041],"genre_scores_gemma":[0.3930783,0.59228516,0.0073028365,0.0004906675,0.00027827366,0.000097789125,0.0009883352,0.000023210523,0.0054553994],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994649,0.00013762196,0.00004047363,0.000051991083,0.00023598077,0.0000688768],"domain_scores_gemma":[0.99820244,0.0004889932,0.0003839473,0.00005052505,0.000658431,0.00021562465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017175449,0.00043804644,0.00031417218,0.0026110215,0.00034202254,0.0027951289,0.0004284673,0.00068409374,0.0040198197],"category_scores_gemma":[0.0013023658,0.00014956234,0.00046625105,0.0037724627,0.00032762927,0.0027313293,0.0010074851,0.0005351043,0.00057625654],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002194823,0.00020539813,0.025905866,0.006330139,0.00014219427,0.0008615267,0.00047139922,0.010439297,0.002885644,0.04179408,0.015443209,0.8953017],"study_design_scores_gemma":[0.00006431769,0.0013900354,0.12960191,0.016820822,0.00052744645,0.0032805745,0.0060487236,0.017442502,0.004608992,0.0409912,0.77907294,0.0001504727],"about_ca_topic_score_codex":0.0018840645,"about_ca_topic_score_gemma":0.0026473626,"teacher_disagreement_score":0.0040198197,"about_ca_system_score_codex":0.0010275327,"about_ca_system_score_gemma":0.0025799114,"threshold_uncertainty_score":0.013447642},"labels":[],"label_agreement":null},{"id":"W4414348901","doi":"10.1109/esw58401.2025.11159135","title":"Electrical Vehicles and Li-ion Battery Manufacturing – What are the actual risks for workers?","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bombardier Recreational Products (Canada)","funders":"","keywords":"Battery (electricity); Automotive battery; Work (physics); Measure (data warehouse); Power (physics)","score_opus":0.026478263923039213,"score_gpt":0.2930801349481142,"score_spread":0.266601871025075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414348901","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20887229,0.36716273,0.017311003,0.318685,0.0046724235,0.00008939977,0.0006612355,0.0001299296,0.08241597],"genre_scores_gemma":[0.7380049,0.22142822,0.003002185,0.014193675,0.004238864,0.000053321095,0.00023759445,0.000038997714,0.018802246],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9972927,0.0008605972,0.00011293586,0.0002475841,0.0011500319,0.00033613216],"domain_scores_gemma":[0.9915131,0.0042777224,0.0016546156,0.00038352297,0.001703651,0.00046734806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027783357,0.0006088075,0.00057118636,0.00084786135,0.00093380525,0.003727128,0.0013376907,0.0061252243,0.008451658],"category_scores_gemma":[0.008202782,0.00034740276,0.00092743174,0.0006160314,0.0025486725,0.005408962,0.0015828167,0.0022013015,0.0017325884],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022722436,0.0010360989,0.12265618,0.0050773355,0.0007357672,0.0044926754,0.0035264895,0.014995196,0.007856615,0.24370825,0.05636264,0.53728056],"study_design_scores_gemma":[0.00012624981,0.0018909825,0.07543014,0.007745553,0.00050566235,0.008934218,0.027517721,0.0075527257,0.0081601795,0.5026002,0.35913166,0.00040472634],"about_ca_topic_score_codex":0.0043918174,"about_ca_topic_score_gemma":0.0046164407,"teacher_disagreement_score":0.008451658,"about_ca_system_score_codex":0.0013421457,"about_ca_system_score_gemma":0.002160035,"threshold_uncertainty_score":0.028273642},"labels":[],"label_agreement":null},{"id":"W4414368364","doi":"10.1093/ijlct/ctaf107","title":"Technological trajectories and innovation pattern of electric vehicle battery technologies","year":2025,"lang":"en","type":"article","venue":"International Journal of Low-Carbon Technologies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Battery (electricity); Electric vehicle; Key (lock); New energy; Path (computing); Emerging technologies; Battery electric vehicle","score_opus":0.01012193805830414,"score_gpt":0.268778254576435,"score_spread":0.25865631651813087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414368364","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903346,0.00046309415,0.00079994096,0.00032376635,0.0000045109523,0.000018122604,0.0013159197,0.000019008146,0.0067210854],"genre_scores_gemma":[0.9972953,0.00023017716,0.00037599928,0.000007520462,0.000004549552,0.000009483781,0.00082901795,0.000005193225,0.0012427149],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994449,0.00007696567,0.00006588938,0.00011607612,0.00018140042,0.000114740746],"domain_scores_gemma":[0.99113995,0.003567785,0.002491895,0.00029642502,0.001920727,0.00058332516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090645126,0.00013260233,0.00019655823,0.005537231,0.00039043,0.0023564782,0.00045419773,0.0005122972,0.005010921],"category_scores_gemma":[0.007058717,0.00010613,0.00030748147,0.006136987,0.00047272304,0.0025747053,0.0010671492,0.00050216436,0.0010982691],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002511587,0.00016646138,0.91984063,0.0001319527,0.00008446406,0.00051243237,0.002545531,0.004088184,0.0020626197,0.0154438885,0.001125452,0.053747196],"study_design_scores_gemma":[0.000018371933,0.00020804004,0.95033383,0.000168721,0.0000408507,0.0006165034,0.00804253,0.018500121,0.0024848182,0.007920301,0.011624981,0.00004095075],"about_ca_topic_score_codex":0.005174438,"about_ca_topic_score_gemma":0.005070394,"teacher_disagreement_score":0.005537231,"about_ca_system_score_codex":0.0008734942,"about_ca_system_score_gemma":0.0008399084,"threshold_uncertainty_score":0.01676321},"labels":[],"label_agreement":null},{"id":"W4414438417","doi":"10.1016/j.aitf.2025.100014","title":"Recent advancements in Artificial Neural Network-based temperature prediction and management of lithium-ion batteries: A comprehensive review","year":2025,"lang":"en","type":"review","venue":"AI Thermal Fluids","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Advanced Technology Research Council","keywords":"Artificial neural network; Field (mathematics); Feature (linguistics); Key (lock); Automation","score_opus":0.03082051125438171,"score_gpt":0.3193514524780612,"score_spread":0.28853094122367945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414438417","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009478193,0.99495125,0.0022387595,0.00037433289,0.00023730932,0.000013589482,0.00009495963,0.00004470841,0.0010972685],"genre_scores_gemma":[0.0045220437,0.99283534,0.0015588284,0.00023467786,0.00030325292,0.000020888821,0.00014756818,0.000008779551,0.000368631],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99975866,0.000039522754,0.00005162847,0.00006422976,0.00006924378,0.000016702494],"domain_scores_gemma":[0.99912304,0.00053968973,0.000107680906,0.000019935289,0.00018771415,0.000021934675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093162444,0.0012312105,0.001238092,0.0016569021,0.0002047793,0.0010528448,0.001092331,0.00093642826,0.002291436],"category_scores_gemma":[0.0021931734,0.00040016545,0.0012581354,0.002058578,0.0002399695,0.0014280751,0.00053843396,0.0009158292,0.00089565275],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010330245,0.000093560986,0.001197752,0.052753866,0.00041086902,0.00020473773,0.00011342668,0.0070617483,0.0025691488,0.0033249033,0.015764497,0.9164023],"study_design_scores_gemma":[0.000056050474,0.00073742226,0.0061632805,0.024767114,0.0029856632,0.001651723,0.00026426764,0.01776948,0.006149592,0.008594254,0.93059534,0.00026582085],"about_ca_topic_score_codex":0.0016287745,"about_ca_topic_score_gemma":0.001761058,"teacher_disagreement_score":0.002291436,"about_ca_system_score_codex":0.00039091712,"about_ca_system_score_gemma":0.0012665705,"threshold_uncertainty_score":0.007665634},"labels":[],"label_agreement":null},{"id":"W4414496427","doi":"10.1016/j.enconman.2025.120550","title":"Bio-inspired porous channels for thermal management of lithium-ion batteries: the PorousMorphoGrid approach","year":2025,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Thermal management of electronic devices and systems; Thermal; Porosity; Porous medium; Channel (broadcasting)","score_opus":0.011240993742745356,"score_gpt":0.22477930024816828,"score_spread":0.21353830650542294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414496427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82603586,0.018950898,0.13060436,0.0013701007,0.0004570039,0.00008182391,0.00026893994,0.00057696487,0.021654112],"genre_scores_gemma":[0.977749,0.0031532228,0.01644784,0.00011972605,0.000042378717,0.000042282638,0.000051498886,0.000016848715,0.0023771774],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999502,0.000006287853,0.0000017629262,0.000010754505,0.000015526044,0.00001545618],"domain_scores_gemma":[0.99995744,0.000013799836,0.000009765878,0.0000057974144,0.000005471812,0.000007678811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009578302,0.0001588801,0.00021384553,0.00017533918,0.00017524458,0.0006066429,0.00031791013,0.0003691683,0.0005741152],"category_scores_gemma":[0.00013582311,0.00009554283,0.00018716765,0.00014451057,0.00042070073,0.0006919572,0.00044036628,0.00035884438,0.00012968708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002602365,0.00020393149,0.0006292648,0.00073659216,0.00003948185,0.00029137923,0.00014614355,0.020761047,0.8438756,0.07461403,0.0018262098,0.05661607],"study_design_scores_gemma":[0.00010590863,0.000750546,0.0014008974,0.00006222479,0.000056975787,0.00056310475,0.0001893729,0.17965862,0.7694092,0.012055997,0.035627525,0.00011961541],"about_ca_topic_score_codex":0.0002859448,"about_ca_topic_score_gemma":0.0005699014,"teacher_disagreement_score":0.0006066429,"about_ca_system_score_codex":0.00029778492,"about_ca_system_score_gemma":0.00027242175,"threshold_uncertainty_score":0.0021606088},"labels":[],"label_agreement":null},{"id":"W4414530472","doi":"10.1007/s44312-025-00061-6","title":"Hydrogen storage systems at ports for enhanced safety and sustainability: a review","year":2025,"lang":"en","type":"article","venue":"Marine Development","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Concordia University","funders":"Natural Resources Canada; Concordia University; Ministry of Natural Resources","keywords":"Hydrogen technologies; Resilience (materials science); Hydrogen storage; Port (circuit theory); Compressed hydrogen; Hydrogen economy; Supply chain; Compressed natural gas; Sustainability","score_opus":0.00696612629341625,"score_gpt":0.2574189549770126,"score_spread":0.25045282868359636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414530472","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005127273,0.99783105,0.00019648577,0.00014536253,0.00009197692,0.000008868397,0.000029457085,0.0000053593794,0.0011787133],"genre_scores_gemma":[0.002863967,0.99653506,0.00018056862,0.00006616699,0.00005958344,0.000006329104,0.000027147578,0.0000013499557,0.0002598867],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99974793,0.00003938789,0.00005353326,0.000043853754,0.00009382826,0.000021462729],"domain_scores_gemma":[0.99924845,0.0004169805,0.00013302632,0.000016103428,0.00016301464,0.00002244053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064174354,0.000733402,0.00096178456,0.002253783,0.0003112814,0.0011466868,0.00070415495,0.0010231214,0.0031817954],"category_scores_gemma":[0.000964079,0.00032641835,0.000777894,0.0023594126,0.00033382414,0.0014545392,0.00055297493,0.00062573544,0.00075537787],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008873939,0.00010843614,0.00069804065,0.114193544,0.00029571858,0.0003081198,0.00017160142,0.0018752969,0.004077736,0.008202084,0.017058808,0.8529218],"study_design_scores_gemma":[0.000011076831,0.00024303557,0.0014887541,0.019096065,0.00051962025,0.00095579354,0.00021627288,0.00058960845,0.002877437,0.002014725,0.9719519,0.000035525012],"about_ca_topic_score_codex":0.0018207228,"about_ca_topic_score_gemma":0.0019019616,"teacher_disagreement_score":0.0031817954,"about_ca_system_score_codex":0.00045372604,"about_ca_system_score_gemma":0.0015086605,"threshold_uncertainty_score":0.010644138},"labels":[],"label_agreement":null},{"id":"W4414554221","doi":"10.1186/s42162-025-00564-y","title":"Predictive modeling of energy demands for battery electric buses using real-world data","year":2025,"lang":"en","type":"article","venue":"Energy Informatics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada; Environment and Climate Change Canada; Transport Canada","keywords":"Battery (electricity); Energy (signal processing); Telematics; Range (aeronautics); Public transport; Energy modeling; Greenhouse gas; Baseline (sea); Efficient energy use","score_opus":0.04234605742004719,"score_gpt":0.3078509813187898,"score_spread":0.2655049238987426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414554221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96913,0.00034377447,0.020871548,0.00055381394,0.00007207692,0.000047935704,0.006863573,0.0007055227,0.0014117594],"genre_scores_gemma":[0.987076,0.000105234525,0.004038461,0.000024506886,0.000021763102,0.000024293458,0.008177147,0.000018241366,0.00051427557],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998504,0.000038656,0.000008474228,0.00004866277,0.00002962256,0.00002410142],"domain_scores_gemma":[0.99941146,0.00027170544,0.000055626464,0.000065862485,0.00015409016,0.000041301275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049959315,0.000917995,0.00036329488,0.0008974599,0.00024697796,0.0006767861,0.0007652536,0.0006094864,0.00073550694],"category_scores_gemma":[0.0018221403,0.00032056772,0.00052777893,0.0009828237,0.00034254955,0.0006602574,0.00033301578,0.00080116163,0.00036607584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010346328,0.00013821619,0.030727066,0.000038741124,0.000048674534,0.00009236961,0.00003833267,0.95635545,0.00074576837,0.00030997023,0.0022330014,0.009169002],"study_design_scores_gemma":[0.000003941149,0.000010399341,0.005980231,0.0000033709498,0.0000045220922,0.000004376054,0.000027809067,0.99339783,0.00021269321,0.00012227625,0.00022829685,0.000004309772],"about_ca_topic_score_codex":0.12777059,"about_ca_topic_score_gemma":0.13530335,"teacher_disagreement_score":0.12777059,"about_ca_system_score_codex":0.0010802657,"about_ca_system_score_gemma":0.0008387431,"threshold_uncertainty_score":0.25405377},"labels":[],"label_agreement":null},{"id":"W4414572452","doi":"10.1016/j.aei.2025.103908","title":"PIFL: Physics-informed federated learning for progressive degradation estimation in energy storage devices","year":2025,"lang":"en","type":"article","venue":"Advanced Engineering Informatics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Adaptability; Federated learning; Component (thermodynamics); Generalization; Feature (linguistics); Deep learning; Battery (electricity); Convergence (economics); Data modeling","score_opus":0.007881419276365782,"score_gpt":0.26611088390424137,"score_spread":0.2582294646278756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414572452","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022722239,0.00038559802,0.9630277,0.00025798858,0.000103998485,0.00005603448,0.0004062284,0.01120734,0.0018328618],"genre_scores_gemma":[0.5960513,0.00019728536,0.3937627,0.00038949386,0.000104699866,0.00020974218,0.0016638845,0.0005551833,0.0070657786],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977654,0.00004712747,0.000009896653,0.00006588799,0.00007378696,0.000026750235],"domain_scores_gemma":[0.9993819,0.0002678175,0.00003638472,0.00011868449,0.00016389787,0.000031291616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009789407,0.001021365,0.00069902965,0.00057628786,0.0004173506,0.00069977983,0.0013638176,0.0014213807,0.004917165],"category_scores_gemma":[0.0030584957,0.0003015668,0.00053947064,0.0004155724,0.00037235804,0.0013455054,0.0013666787,0.0012699304,0.0013544164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004524409,0.00029503217,0.0015486128,0.00014600277,0.000096649856,0.00012548604,0.00006578602,0.48602828,0.010421644,0.0040508322,0.013347943,0.4834213],"study_design_scores_gemma":[0.000006291878,0.000018821465,0.000105519815,0.00000329423,0.0000029146515,0.000011350055,0.0000029688147,0.9956196,0.0020657366,0.0017393336,0.0004209796,0.000003172305],"about_ca_topic_score_codex":0.0038153927,"about_ca_topic_score_gemma":0.0051648174,"teacher_disagreement_score":0.004917165,"about_ca_system_score_codex":0.0005347882,"about_ca_system_score_gemma":0.00091239717,"threshold_uncertainty_score":0.01644957},"labels":[],"label_agreement":null},{"id":"W4414575446","doi":"10.1177/00219983251377212","title":"Advanced thermal management in Li-ion batteries using composite enclosures with embedded thermal bridges","year":2025,"lang":"en","type":"article","venue":"Journal of Composite Materials","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Thermal management of electronic devices and systems; Composite number; Thermal; Battery (electricity); Copper; Reduction (mathematics); Heat generation; Electrical conductor","score_opus":0.010859996535532096,"score_gpt":0.27427406174453706,"score_spread":0.26341406520900496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414575446","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97497725,0.0006509235,0.021547139,0.000032191827,0.000023800803,0.000014341358,0.00003491212,0.0001174322,0.0026019155],"genre_scores_gemma":[0.99152607,0.00019601776,0.0072562653,0.000007196906,0.000002379754,0.0000133330705,0.000021750253,0.000010439639,0.00096659455],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999515,0.0000069238677,0.0000027836913,0.000010236502,0.000018672206,0.0000099076215],"domain_scores_gemma":[0.999949,0.000011943289,0.000014699955,0.0000073130223,0.000012078092,0.000005100344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001048091,0.00017434606,0.00013426028,0.00014462098,0.00013668921,0.00028246222,0.0002469817,0.00020277842,0.0004319777],"category_scores_gemma":[0.00015887918,0.000097462755,0.00013969307,0.000110666886,0.0001651966,0.0004062395,0.0002217815,0.00013772461,0.00016441137],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015816966,0.00007800868,0.0021640174,0.0002538794,0.000016489326,0.00029374205,0.000120221186,0.09012807,0.87549335,0.0015000637,0.00035358773,0.02944028],"study_design_scores_gemma":[0.000020878691,0.00063146907,0.0043808385,0.000030924137,0.000033327484,0.00029786472,0.00016049745,0.25931814,0.72729677,0.0005784311,0.0072256513,0.00002525339],"about_ca_topic_score_codex":0.00021797711,"about_ca_topic_score_gemma":0.00071994244,"teacher_disagreement_score":0.0004319777,"about_ca_system_score_codex":0.00015022753,"about_ca_system_score_gemma":0.00014686547,"threshold_uncertainty_score":0.0014451146},"labels":[],"label_agreement":null},{"id":"W4414577351","doi":"10.1021/acsenergylett.5c01924","title":"Controlled Energy Offloading via Self-Destructing Agents for Safer Li-Ion Batteries","year":2025,"lang":"en","type":"article","venue":"ACS Energy Letters","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nexen (Canada)","funders":"National Key Research and Development Program of China; Beijing Municipal Natural Science Foundation; National Natural Science Foundation of China","keywords":"Thermal runaway; SAFER; Bridging (networking); Energy density; Battery (electricity); Thermal; Lithium (medication); Reduction (mathematics)","score_opus":0.008804189249824542,"score_gpt":0.23964536718967858,"score_spread":0.23084117793985404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414577351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9480834,0.0025559328,0.041274186,0.00031225863,0.00008333415,0.00010918086,0.00016531443,0.00059037475,0.0068261083],"genre_scores_gemma":[0.98922557,0.000662012,0.007539178,0.000077553275,0.000008811094,0.000046412635,0.00004649885,0.000048697762,0.0023453282],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999337,0.000007035783,0.000006055468,0.000014222325,0.000023208222,0.000015746495],"domain_scores_gemma":[0.999926,0.000016385164,0.00002842343,0.000009708444,0.000012428935,0.000007179903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012024375,0.00034213456,0.00016075614,0.00011444158,0.00011857442,0.00031732753,0.00034298285,0.0002916402,0.0013574305],"category_scores_gemma":[0.00017013209,0.00012729915,0.00013975277,0.00006417801,0.00024693087,0.0005371683,0.0003149747,0.0004072401,0.00035523437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047286045,0.000022960283,0.0001209649,0.00012714606,0.0000045074057,0.00009649213,0.00004513047,0.0005832691,0.99270344,0.0014704484,0.000116698495,0.004661607],"study_design_scores_gemma":[0.0000040011973,0.000059826663,0.00008987875,0.0000032367657,0.0000029773132,0.000035401194,0.000007903979,0.0014048872,0.9960026,0.00010348019,0.0022820986,0.0000036506506],"about_ca_topic_score_codex":0.00015058291,"about_ca_topic_score_gemma":0.0003872485,"teacher_disagreement_score":0.0013574305,"about_ca_system_score_codex":0.00018331711,"about_ca_system_score_gemma":0.00013601454,"threshold_uncertainty_score":0.004541099},"labels":[],"label_agreement":null},{"id":"W4414603383","doi":"10.1109/tte.2025.3615387","title":"Safe Deep Reinforcement Learning for Energy Management of Electrified Vehicles: Optimal Action Filtering and Battery-in-the-Loop Validation","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Reinforcement learning; Powertrain; Benchmark (surveying); Energy management; Metric (unit); Optimal control; Dynamic programming; Minification; Action (physics)","score_opus":0.01735870452253268,"score_gpt":0.2710587030927269,"score_spread":0.2536999985701942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414603383","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16876854,0.00045988063,0.8238687,0.00049980136,0.00007067118,0.000094958086,0.00008629696,0.0017897348,0.004361451],"genre_scores_gemma":[0.9731284,0.00005381433,0.025680175,0.00009513838,0.000006824292,0.00006656694,0.00007805007,0.000042414616,0.00084870186],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996481,0.00012361215,0.000016167984,0.000059268255,0.0000892197,0.00006353924],"domain_scores_gemma":[0.9981211,0.0012063916,0.00016522783,0.0001184883,0.0002995001,0.00008929478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016314541,0.0008747489,0.00055480236,0.0003032037,0.00021242222,0.0005515742,0.0009091348,0.0008603623,0.0011397385],"category_scores_gemma":[0.005412642,0.0003533143,0.00030124353,0.00012722972,0.00073734735,0.00056368473,0.00093956914,0.0016096062,0.00018682353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005416164,0.00003677942,0.0006666734,0.00003106702,0.000011767041,0.000028509949,0.000020036045,0.98539656,0.00070882257,0.001220136,0.00022436447,0.011601155],"study_design_scores_gemma":[0.0000033779588,0.000011649652,0.000033256885,0.0000025947227,9.217263e-7,0.000001572628,0.0000015148167,0.99929273,0.00027910943,0.00033336412,0.00003917251,7.966917e-7],"about_ca_topic_score_codex":0.0068986546,"about_ca_topic_score_gemma":0.0053243106,"teacher_disagreement_score":0.0068986546,"about_ca_system_score_codex":0.0009124221,"about_ca_system_score_gemma":0.0016562586,"threshold_uncertainty_score":0.013716996},"labels":[],"label_agreement":null},{"id":"W4414647190","doi":"10.1109/jestpe.2025.3616148","title":"Reconfigurable Battery Control With State-of-Health Awareness for Service-Life Extension in DC Fast-Charge Stations","year":2025,"lang":"en","type":"article","venue":"IEEE Journal of Emerging and Selected Topics in Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Benchmark (surveying); Battery (electricity); Reliability (semiconductor); Architecture; Power (physics); Control (management); Microgrid; Efficient energy use","score_opus":0.013455370207197408,"score_gpt":0.2906227462738827,"score_spread":0.2771673760666853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414647190","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32613295,0.00067458785,0.6585095,0.00021046532,0.00014485873,0.000119297285,0.0000694894,0.0029004882,0.011238442],"genre_scores_gemma":[0.993034,0.000036322817,0.0062550292,0.000024821395,0.000008411512,0.00001588398,0.00001254071,0.000013806967,0.0005992114],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999105,0.000008411272,0.0000056467265,0.00002664062,0.000028299357,0.000020576128],"domain_scores_gemma":[0.9998746,0.000026135622,0.00002874861,0.000018672124,0.000041092015,0.0000107189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012702766,0.00034965787,0.00019374411,0.00019781417,0.00021781694,0.00040380168,0.0006071875,0.00017990034,0.001096563],"category_scores_gemma":[0.0003158227,0.00008514288,0.00014754581,0.00011063924,0.00018971036,0.00025750557,0.00023836346,0.00025260256,0.00016705783],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066304445,0.0002767878,0.0038651407,0.00024570673,0.00006806278,0.00038464108,0.00034121683,0.4374836,0.19547231,0.006445622,0.0030671002,0.35168687],"study_design_scores_gemma":[0.000040394858,0.00019074368,0.0012399831,0.00001273754,0.000025006386,0.00010126785,0.000031977797,0.95937216,0.035170503,0.0011057964,0.0026939157,0.000015460828],"about_ca_topic_score_codex":0.0018690919,"about_ca_topic_score_gemma":0.002365498,"teacher_disagreement_score":0.0018690919,"about_ca_system_score_codex":0.00027381565,"about_ca_system_score_gemma":0.00026748562,"threshold_uncertainty_score":0.0037164092},"labels":[],"label_agreement":null},{"id":"W4414650538","doi":"10.3390/batteries11100362","title":"A Smart Evolving Fuzzy Predictor with Customized Firefly Optimization for Battery RUL Prediction","year":2025,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adaptability; Firefly algorithm; Battery (electricity); Benchmark (surveying); Fuzzy logic; Nonlinear system; SPARK (programming language); Fuzzy rule","score_opus":0.008627005798042093,"score_gpt":0.23551224622478828,"score_spread":0.22688524042674618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414650538","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03640423,0.00021654958,0.96168953,0.00012336117,0.0000467688,0.00003208483,0.000031905995,0.00030568984,0.0011499223],"genre_scores_gemma":[0.7728754,0.00023643192,0.22417805,0.00014921093,0.000045111778,0.00012855955,0.00011059277,0.000045399218,0.002231211],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978656,0.000047252062,0.000012419656,0.00005864831,0.000067874455,0.000027389679],"domain_scores_gemma":[0.99959844,0.00018808324,0.0000548445,0.000033810087,0.00010195527,0.000022880082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006507874,0.00064425176,0.0006980514,0.00036108677,0.000284509,0.0004453179,0.00093325647,0.00085726293,0.00088882784],"category_scores_gemma":[0.0016857946,0.00027293156,0.0004892136,0.00034621646,0.0003037462,0.00059317256,0.00047875065,0.00089114753,0.00016224773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000525083,0.00003852931,0.001129379,0.000033685756,0.000028009343,0.000055487755,0.000036823276,0.9379725,0.006629379,0.0017268659,0.0005203121,0.051776454],"study_design_scores_gemma":[0.0000021255894,0.000010107763,0.000048817594,0.0000012972406,0.0000019002829,0.0000051458715,0.0000011907885,0.9992698,0.00047148776,0.000114922026,0.00007138557,0.0000017543431],"about_ca_topic_score_codex":0.004862131,"about_ca_topic_score_gemma":0.0039069494,"teacher_disagreement_score":0.004862131,"about_ca_system_score_codex":0.0003705116,"about_ca_system_score_gemma":0.00076447264,"threshold_uncertainty_score":0.009667635},"labels":[],"label_agreement":null},{"id":"W4414693299","doi":"10.1109/access.2025.3615885","title":"Two-Stage Genetic Algorithm Offline Parameter Optimization of Adaptive Extended Kalman Filter for Robust Battery State-Of-Charge Estimation","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Robustness (evolution); Kalman filter; State of charge; Battery (electricity); Randomness; Genetic algorithm; Control theory (sociology)","score_opus":0.03669023243684982,"score_gpt":0.3233492119260864,"score_spread":0.2866589794892366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414693299","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017810447,0.00018091127,0.9785267,0.00007062892,0.000036295613,0.00006022217,0.000029515777,0.0007270062,0.0025583382],"genre_scores_gemma":[0.63823557,0.00022338152,0.356568,0.00015441034,0.00003426336,0.000547832,0.00022752753,0.00012429639,0.0038846866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955016,0.00010067326,0.000028026641,0.00012657241,0.00012267269,0.00007183097],"domain_scores_gemma":[0.9993717,0.0003437475,0.0000678018,0.00003736573,0.00016280635,0.000016591319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007334984,0.0013349488,0.0010252784,0.00073338905,0.00042339612,0.0007542745,0.00090695627,0.0011484611,0.0019387688],"category_scores_gemma":[0.002259197,0.00050046894,0.0008640346,0.00044678847,0.00048269736,0.00049889385,0.00069459237,0.0010024197,0.00042015762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051567753,0.000039683237,0.00073059363,0.000052439904,0.000044048084,0.000043860957,0.00005978308,0.9338847,0.0030645244,0.0018855769,0.000474883,0.059668344],"study_design_scores_gemma":[0.0000115227085,0.000027210921,0.00016838872,0.0000051346033,0.000009187642,0.000008797094,0.000006578867,0.9983937,0.0006787612,0.00039743778,0.0002876019,0.0000055213636],"about_ca_topic_score_codex":0.01430803,"about_ca_topic_score_gemma":0.0105065815,"teacher_disagreement_score":0.01430803,"about_ca_system_score_codex":0.0006561633,"about_ca_system_score_gemma":0.0014574128,"threshold_uncertainty_score":0.028449535},"labels":[],"label_agreement":null},{"id":"W4414694237","doi":"10.1016/j.segan.2025.101994","title":"A multi-faceted strategy for scalable, efficient, and grid-integrated electric vehicle systems using solid-state batteries and AI technologies","year":2025,"lang":"en","type":"article","venue":"Sustainable Energy Grids and Networks","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Battery (electricity); Scalability; Electric vehicle; Smart grid; Modular design; Renewable energy; Grid; Tariff; Energy management","score_opus":0.008920379245348942,"score_gpt":0.25968511282057205,"score_spread":0.2507647335752231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414694237","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10713778,0.0007256816,0.8330272,0.000609188,0.00017274125,0.00021576109,0.00022069788,0.001414682,0.056476276],"genre_scores_gemma":[0.8694431,0.000344495,0.11826894,0.00013496705,0.000026364285,0.000120108714,0.00022018724,0.000061042294,0.011380822],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982387,0.000017904902,0.000009161184,0.000034845114,0.000067124216,0.000047165897],"domain_scores_gemma":[0.9998373,0.000019639689,0.000014374049,0.00003068842,0.000071847906,0.000026099577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019458665,0.00045545417,0.00045472686,0.00039650092,0.0006649677,0.0012120318,0.00088587665,0.0004395116,0.0044605215],"category_scores_gemma":[0.0002984904,0.00016453337,0.00032722222,0.0004951599,0.00033053412,0.0012120277,0.0017405098,0.000536719,0.0013561718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002924233,0.0003528173,0.00237821,0.00034647065,0.00011518811,0.0006742218,0.00028674654,0.18969908,0.41882697,0.087245144,0.007959411,0.29182345],"study_design_scores_gemma":[0.000017913151,0.00027359356,0.00075693807,0.00003073604,0.00003786916,0.00023567992,0.00034694435,0.8730245,0.072593376,0.032284275,0.020359432,0.00003878221],"about_ca_topic_score_codex":0.0016937621,"about_ca_topic_score_gemma":0.003746531,"teacher_disagreement_score":0.0044605215,"about_ca_system_score_codex":0.00049158384,"about_ca_system_score_gemma":0.0008782307,"threshold_uncertainty_score":0.014921904},"labels":[],"label_agreement":null},{"id":"W4414808086","doi":"10.1016/j.energy.2025.138693","title":"In-context learning for nano-PCM thermal behavior prediction in battery thermal management via Lattice Boltzmann simulation","year":2025,"lang":"en","type":"article","venue":"Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Thermal; Nusselt number; Boltzmann machine; Key (lock); Lattice Boltzmann methods; Heat transfer; Mean squared error; Focus (optics)","score_opus":0.010696033558404913,"score_gpt":0.2664844951742563,"score_spread":0.2557884616158514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414808086","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30197173,0.0012487678,0.6878312,0.00069068,0.00015606121,0.0000992628,0.00029225252,0.0013382095,0.006371817],"genre_scores_gemma":[0.9629938,0.00019293174,0.034707844,0.00012186761,0.00002417559,0.000117257965,0.00017723787,0.000042906337,0.0016219383],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998666,0.00004264953,0.0000065971612,0.00003209065,0.000025635969,0.000026488895],"domain_scores_gemma":[0.99958616,0.00026792998,0.00003207975,0.000018167633,0.00007090809,0.000024793168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005399485,0.0006613059,0.0006534477,0.00032276497,0.00033524784,0.00067316584,0.0008810763,0.00081396167,0.0015624684],"category_scores_gemma":[0.0014562772,0.0003725221,0.0006294723,0.0002854322,0.0004268548,0.0006286636,0.00060431357,0.0010605797,0.00021645612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016834292,0.000016804956,0.0005553397,0.000015959575,0.000007978559,0.000014568741,0.000010485708,0.9936731,0.00034806333,0.0004577698,0.00010192687,0.004781227],"study_design_scores_gemma":[6.1249943e-7,0.0000018644074,0.000020916597,7.130681e-7,5.8198873e-7,5.0079876e-7,0.0000012541354,0.9997422,0.00006150322,0.00015095725,0.000018441062,4.3740852e-7],"about_ca_topic_score_codex":0.014431213,"about_ca_topic_score_gemma":0.01143956,"teacher_disagreement_score":0.014431213,"about_ca_system_score_codex":0.0006352908,"about_ca_system_score_gemma":0.0010438493,"threshold_uncertainty_score":0.028694391},"labels":[],"label_agreement":null},{"id":"W4414871314","doi":"10.1109/jsen.2025.3616085","title":"Advancements in Temperature-Sensing Technologies for Lithium-Ion Batteries in Electric Vehicle Thermal Management Systems: A Comprehensive Review","year":2025,"lang":"en","type":"review","venue":"IEEE Sensors Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Overheating (electricity); Battery (electricity); Thermal runaway; Thermal management of electronic devices and systems; Electric vehicle; SAFER; Work (physics)","score_opus":0.029044438804990223,"score_gpt":0.32287840297485176,"score_spread":0.2938339641698615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414871314","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00031913136,0.9966724,0.00055114395,0.00018799287,0.00023512628,0.000010596795,0.000037085836,0.000014800512,0.0019716613],"genre_scores_gemma":[0.0014585943,0.9967699,0.0005942954,0.000100868274,0.00013194756,0.000010065346,0.000045506236,0.000003766957,0.00088493497],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996581,0.000041874715,0.00005270128,0.00006604739,0.00015247687,0.000028808878],"domain_scores_gemma":[0.9993548,0.0002915515,0.00008787203,0.000020579388,0.00021816028,0.00002704253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000762048,0.0010466494,0.0010928342,0.003307697,0.00032021463,0.0010762269,0.00088852935,0.0009658774,0.005364087],"category_scores_gemma":[0.0009497382,0.00046096585,0.00093727844,0.0035480943,0.00030973696,0.0018649573,0.0006330331,0.001174457,0.0024298457],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054033077,0.00010187105,0.00033957404,0.04385558,0.00009646926,0.00020245726,0.00010715142,0.0007589118,0.005487152,0.0056733857,0.0200782,0.92324525],"study_design_scores_gemma":[0.000007002155,0.00017446991,0.000818688,0.0049494063,0.00021554637,0.00095889287,0.00009437912,0.0003164392,0.0027493683,0.0015162661,0.98816,0.00003958994],"about_ca_topic_score_codex":0.0012140168,"about_ca_topic_score_gemma":0.0018243506,"teacher_disagreement_score":0.005364087,"about_ca_system_score_codex":0.00046116777,"about_ca_system_score_gemma":0.0012019171,"threshold_uncertainty_score":0.017944694},"labels":[],"label_agreement":null},{"id":"W4414895089","doi":"10.1007/s43937-025-00086-4","title":"A state-of-the-art review on battery cell balancing strategies","year":2025,"lang":"en","type":"article","venue":"Discover Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Danske Maritime Fond","keywords":"Battery pack; Battery (electricity); Reinforcement learning; Renewable energy; Key (lock); Energy management; Overcharge; Grid; Energy storage","score_opus":0.006348181483333053,"score_gpt":0.24512823536922973,"score_spread":0.23878005388589668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414895089","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013211997,0.9836886,0.003718384,0.00050820183,0.00070053514,0.00002367519,0.00017732804,0.00006162778,0.009800552],"genre_scores_gemma":[0.007296876,0.98682874,0.0017833677,0.00033902944,0.00041738251,0.000026183614,0.00028648853,0.000016741904,0.0030051214],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997497,0.000028138194,0.00003791391,0.00006347611,0.0000970274,0.000023718001],"domain_scores_gemma":[0.99967086,0.00016209399,0.00003868527,0.000015588297,0.00009900464,0.000013731093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039986285,0.0008702778,0.00096799346,0.00172558,0.00035545166,0.0013056416,0.0010202185,0.0008918021,0.008584836],"category_scores_gemma":[0.0008156893,0.00035057525,0.0008342131,0.002482618,0.00026690733,0.0020955927,0.0005809817,0.00069734093,0.003007035],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096004165,0.00009429888,0.00042927676,0.030953635,0.00011877917,0.00027462761,0.00011628731,0.0028956055,0.0066335653,0.014781842,0.040364202,0.9032419],"study_design_scores_gemma":[0.0000064097967,0.00014668875,0.0005756331,0.0030883758,0.0001978587,0.00071772834,0.000089003304,0.0011320175,0.0029170734,0.0039184564,0.9871765,0.000034403187],"about_ca_topic_score_codex":0.00088511937,"about_ca_topic_score_gemma":0.0012200507,"teacher_disagreement_score":0.008584836,"about_ca_system_score_codex":0.0004205343,"about_ca_system_score_gemma":0.0007753337,"threshold_uncertainty_score":0.028719127},"labels":[],"label_agreement":null},{"id":"W4414920408","doi":"10.1016/j.apenergy.2025.126868","title":"Public transit electrification planning with energy storage via second-life batteries – a stochastic programming approach","year":2025,"lang":"en","type":"article","venue":"Applied Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrification; Battery (electricity); Software deployment; Public transport; Electricity; Energy storage; Stochastic programming; Renewable energy; Electricity market; Electric vehicle","score_opus":0.016203726152080683,"score_gpt":0.21966971777744226,"score_spread":0.20346599162536158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414920408","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0748528,0.0007872118,0.9056413,0.0013927493,0.0001495035,0.0001641159,0.0005736247,0.00024681207,0.016191969],"genre_scores_gemma":[0.9312934,0.00075147575,0.049731445,0.00017364038,0.00010724641,0.0002709038,0.00031361237,0.000109630644,0.017248575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993332,0.0002827602,0.000021195916,0.00011569316,0.00008978044,0.00015725837],"domain_scores_gemma":[0.9983759,0.0011678614,0.00014096404,0.000032625318,0.00017111016,0.000111499714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016523398,0.0014913646,0.0024116866,0.0010704492,0.0005056144,0.0022923334,0.0018377537,0.0021658053,0.0056342417],"category_scores_gemma":[0.0026336221,0.0017814187,0.001775935,0.0014524838,0.0009989856,0.0019255648,0.0010627127,0.0017713264,0.00028736377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018870365,0.000014579468,0.000090067646,0.000019995943,0.000017766875,0.000028332963,0.000008348318,0.9918949,0.00009632403,0.0063419202,0.00020604444,0.0012627766],"study_design_scores_gemma":[0.000005196074,0.000012638153,0.000043943368,0.00000469642,0.000006831414,0.000004510916,0.000006825683,0.9968039,0.00005047616,0.0029109046,0.00014607265,0.000003944048],"about_ca_topic_score_codex":0.01828501,"about_ca_topic_score_gemma":0.015638415,"teacher_disagreement_score":0.01828501,"about_ca_system_score_codex":0.002315536,"about_ca_system_score_gemma":0.00252659,"threshold_uncertainty_score":0.036357164},"labels":[],"label_agreement":null},{"id":"W4415230187","doi":"10.3390/en18205439","title":"Transformer-Based Transfer Learning for Battery State-of-Health Estimation","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transformer; Transfer of learning; Mean squared error; State of health; Battery (electricity); Predictive modelling; Battery capacity","score_opus":0.01490131475152463,"score_gpt":0.2887808043653166,"score_spread":0.273879489613792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415230187","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13618402,0.0013220968,0.8548341,0.0004325792,0.00015274885,0.00009970564,0.00035403288,0.0026923015,0.0039285347],"genre_scores_gemma":[0.973498,0.00031380658,0.023058245,0.000107046675,0.00003362599,0.00006874529,0.00043516903,0.000056410765,0.0024289505],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981874,0.000040221257,0.000012977781,0.000053574746,0.00004763369,0.000026855654],"domain_scores_gemma":[0.9995447,0.00023870888,0.000038669103,0.000040212766,0.00012369746,0.000014019707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075460225,0.00073409383,0.00062107545,0.0004375394,0.00017904384,0.0005156393,0.0010351958,0.00063607784,0.0013024304],"category_scores_gemma":[0.002817271,0.00023272722,0.00057909265,0.0004895871,0.00034344976,0.00094101875,0.00061232934,0.0010620154,0.0005227991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011388558,0.00008706324,0.0020969831,0.000068557754,0.00004774564,0.000061621206,0.00003889582,0.8903998,0.0025921464,0.0014106681,0.001207952,0.101874664],"study_design_scores_gemma":[0.0000019664662,0.000012089535,0.00020782548,0.000002603925,0.0000035596831,0.000008844327,0.000004037052,0.9981996,0.0006283724,0.0007838623,0.00014452255,0.000002784733],"about_ca_topic_score_codex":0.006668555,"about_ca_topic_score_gemma":0.0045907353,"teacher_disagreement_score":0.006668555,"about_ca_system_score_codex":0.00056542276,"about_ca_system_score_gemma":0.00056947645,"threshold_uncertainty_score":0.01325953},"labels":[],"label_agreement":null},{"id":"W4415244129","doi":"10.26434/chemrxiv-2025-9f5ts","title":"Navigating ternary doping in Li-ion cathodes with closed-loop multi-objective Bayesian optimization","year":2025,"lang":"en","type":"article","venue":"ChemRxiv","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Workflow; Bayesian optimization; Grid; Gaussian process; Ternary operation; Battery (electricity); Process (computing); Key (lock); Cathode; Set (abstract data type)","score_opus":0.012663070824951701,"score_gpt":0.29057415702390293,"score_spread":0.2779110861989512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415244129","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21428657,0.00045341303,0.7758182,0.0006405821,0.000045191828,0.000111420835,0.0002137729,0.0021043487,0.00632652],"genre_scores_gemma":[0.767609,0.00010364987,0.2282628,0.000360522,0.000018895642,0.00025293085,0.00029210362,0.0002831176,0.0028169358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997856,0.000065526525,0.000008756663,0.0000502186,0.00005648114,0.00003342439],"domain_scores_gemma":[0.9991749,0.0006124482,0.00005470417,0.00004002716,0.00008075528,0.00003721095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013063517,0.0008653174,0.0009183742,0.00044779538,0.00045759024,0.0010729664,0.0013573206,0.0013819173,0.0020568664],"category_scores_gemma":[0.0027135373,0.0007829812,0.0007155089,0.00031904844,0.00087228563,0.0009064271,0.0011413227,0.0012549309,0.00040049484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006453567,0.0000752823,0.0007864859,0.000059416147,0.000025646905,0.00003453318,0.00004563717,0.9778204,0.0030492768,0.0024705562,0.00049522094,0.015072919],"study_design_scores_gemma":[0.0000082968345,0.000012557524,0.000040253308,0.000002459867,0.000002112885,0.000003211847,0.0000047673348,0.9983364,0.00059369724,0.00087702525,0.00011669372,0.0000024797341],"about_ca_topic_score_codex":0.0061463504,"about_ca_topic_score_gemma":0.00902334,"teacher_disagreement_score":0.0061463504,"about_ca_system_score_codex":0.00096473226,"about_ca_system_score_gemma":0.0015113846,"threshold_uncertainty_score":0.012221158},"labels":[],"label_agreement":null},{"id":"W4415322379","doi":"10.1016/j.compeleceng.2025.110756","title":"Novel intelligent model following controller and PQ droop controller operated nuclear-PV-biogas hybrid microgrid and EV charging station","year":2025,"lang":"en","type":"article","venue":"Computers & Electrical Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Northern Border University; Université Laval","keywords":"Voltage droop; Microgrid; Controller (irrigation); Transient (computer programming); Renewable energy; Photovoltaic system; Control theory (sociology); Voltage; Grid","score_opus":0.007260077295885802,"score_gpt":0.22525728646639528,"score_spread":0.2179972091705095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415322379","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27385083,0.00080137607,0.6925806,0.00031652674,0.0003367681,0.00021364352,0.00018944219,0.004520281,0.027190525],"genre_scores_gemma":[0.9886967,0.000056999364,0.009399669,0.00003519548,0.00001584262,0.000044867757,0.000040442934,0.000012308159,0.0016979931],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998491,0.000018437018,0.000011165183,0.00004425131,0.000054765573,0.00002233651],"domain_scores_gemma":[0.99987364,0.000019765715,0.000024381507,0.000017775568,0.000051933486,0.000012374319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019737783,0.0005497461,0.00042835565,0.0002216014,0.0003803712,0.0005908202,0.0009657132,0.0003522055,0.0016317103],"category_scores_gemma":[0.00024127097,0.00014852856,0.00027692382,0.00017162341,0.0002162781,0.00036048557,0.00045283657,0.00039774622,0.00027930783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011446633,0.00047053018,0.0045280084,0.00045132553,0.00020735823,0.0013722591,0.0003277555,0.6184034,0.10234777,0.0072977543,0.007041199,0.2564081],"study_design_scores_gemma":[0.00006505038,0.00028213114,0.00074773526,0.000009488023,0.00003070993,0.00014323776,0.00002288231,0.98629516,0.009668495,0.0005193807,0.0022012338,0.000014501641],"about_ca_topic_score_codex":0.0026652517,"about_ca_topic_score_gemma":0.0031368437,"teacher_disagreement_score":0.0026652517,"about_ca_system_score_codex":0.00027382452,"about_ca_system_score_gemma":0.00038164228,"threshold_uncertainty_score":0.0054585934},"labels":[],"label_agreement":null},{"id":"W4415383727","doi":"10.53941/rest.2025.100010","title":"Advancements in EV Charging Standards and Technologies for Sustainable Transportation","year":2025,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Software deployment; Interoperability; Sustainable transport; Electricity; Scope (computer science); Standardization; Emerging technologies; Environmentally friendly","score_opus":0.0039713766833551585,"score_gpt":0.25108238191349885,"score_spread":0.2471110052301437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415383727","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08595291,0.08687069,0.29604203,0.042552713,0.003892129,0.00018235987,0.00045096746,0.0011045649,0.48295158],"genre_scores_gemma":[0.7098886,0.13566725,0.10441516,0.0030627255,0.0018920496,0.00012579636,0.00085395784,0.0002739095,0.043820526],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985592,0.00028111725,0.00009341109,0.00015507647,0.00077497284,0.00013622493],"domain_scores_gemma":[0.99804074,0.00053986936,0.00017558118,0.0002591823,0.0008993559,0.0000853194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022120576,0.0004339497,0.0002499083,0.0011046523,0.0006211314,0.0025267776,0.0008317398,0.0012748817,0.004733475],"category_scores_gemma":[0.0034458912,0.00018183338,0.00044371118,0.002177788,0.0010394407,0.005798487,0.002176986,0.0018843443,0.0011916142],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032225827,0.00008013512,0.0022899858,0.0008825247,0.00001947887,0.00015342009,0.0004978477,0.0109272925,0.004771268,0.57211804,0.012799265,0.39542842],"study_design_scores_gemma":[0.0000074448017,0.00010356405,0.0024360681,0.000641745,0.00002527979,0.00051624235,0.0009178732,0.013503471,0.006279647,0.13162982,0.84388953,0.000049181774],"about_ca_topic_score_codex":0.0019529038,"about_ca_topic_score_gemma":0.0018593081,"teacher_disagreement_score":0.004733475,"about_ca_system_score_codex":0.0016854432,"about_ca_system_score_gemma":0.0022775084,"threshold_uncertainty_score":0.015835047},"labels":[],"label_agreement":null},{"id":"W4415502233","doi":"10.1039/d5ee02865e","title":"Sustainable propulsion and advanced energy-storage systems for net-zero aviation","year":2025,"lang":"en","type":"article","venue":"Energy & Environmental Science","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University; Ministère de l'Économie, de l’Innovation et des Exportations du Québec; Gina Cody School of Engineering and Computer Science, Concordia University","keywords":"Propulsion; Aviation; Sustainable energy; Liquid hydrogen; Scope (computer science)","score_opus":0.0036754848680184667,"score_gpt":0.21283170267723117,"score_spread":0.2091562178092127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415502233","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17664956,0.1269952,0.21627513,0.06145645,0.006783588,0.00023031952,0.0019711494,0.0015154531,0.4081231],"genre_scores_gemma":[0.8668016,0.043072227,0.026442692,0.001247862,0.0005342825,0.00013775239,0.0010755495,0.00011270376,0.060575303],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99984825,0.000020538913,0.000005480531,0.000019650695,0.00007974753,0.00002630276],"domain_scores_gemma":[0.9999051,0.000018129462,0.000007489109,0.000008555246,0.000046807338,0.000013859704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040868664,0.0003178377,0.00018549757,0.00029783178,0.0006028889,0.00086200674,0.00035992256,0.0007069181,0.008607113],"category_scores_gemma":[0.00037177137,0.00011042444,0.00017248174,0.00035741503,0.00052343204,0.0016808809,0.001020494,0.0007309201,0.0013253399],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019480938,0.00012434907,0.0011509412,0.0008492394,0.000033501376,0.0002268526,0.00016361395,0.015858201,0.053543553,0.68782604,0.05194149,0.18808739],"study_design_scores_gemma":[0.000056074197,0.0003412066,0.0014046467,0.00037273782,0.00003262088,0.00029102582,0.00039434416,0.040022083,0.058143,0.32268307,0.5762128,0.000046328212],"about_ca_topic_score_codex":0.0011050312,"about_ca_topic_score_gemma":0.0031157606,"teacher_disagreement_score":0.008607113,"about_ca_system_score_codex":0.00087399624,"about_ca_system_score_gemma":0.0013023559,"threshold_uncertainty_score":0.028793693},"labels":[],"label_agreement":null},{"id":"W4415555234","doi":"10.1007/978-3-031-95115-2_17","title":"Toward Sustainable Urban Transportation: Comparative Analysis and Optimization Models for Life Cycle Assessment of Battery Electric Buses, Hydrogenated Buses, and Trolley Bus Systems","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Battery (electricity); Electricity; Electric-vehicle battery; Life-cycle assessment; Sustainability; Electric vehicle; Greenhouse gas; Battery electric vehicle","score_opus":0.013091327165474079,"score_gpt":0.2435834072849185,"score_spread":0.23049208011944444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415555234","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10123295,0.004763111,0.84017897,0.0012689722,0.00014883913,0.00013214024,0.00094456854,0.00039166198,0.05093877],"genre_scores_gemma":[0.8262084,0.0059735426,0.13853385,0.00021204856,0.00012696048,0.00036376505,0.0010553934,0.00031804768,0.027207928],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968815,0.00017949032,0.000008833972,0.000032096832,0.000059977414,0.000031532476],"domain_scores_gemma":[0.9993924,0.0003960689,0.00004325522,0.000025395422,0.00012493212,0.000017970326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001198557,0.0008722471,0.00083765533,0.0008023404,0.000382691,0.0012064432,0.00095741614,0.0009931949,0.0039919065],"category_scores_gemma":[0.001705457,0.00051905547,0.0015617142,0.0019548752,0.00047710925,0.0014615218,0.00058414944,0.00091285765,0.0004279528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015125173,0.000016593543,0.00014871883,0.000030001958,0.000019382824,0.000007514386,0.000011023639,0.97913843,0.00015278682,0.010710943,0.00088068924,0.00886882],"study_design_scores_gemma":[0.0000018183529,0.000014648973,0.00014742768,0.0000067886936,0.000008966367,0.0000037044406,0.000014551644,0.993346,0.00007609008,0.0055962154,0.00078053604,0.000003240161],"about_ca_topic_score_codex":0.01871662,"about_ca_topic_score_gemma":0.026375772,"teacher_disagreement_score":0.01871662,"about_ca_system_score_codex":0.0020151571,"about_ca_system_score_gemma":0.0014101899,"threshold_uncertainty_score":0.037215352},"labels":[],"label_agreement":null},{"id":"W4415573135","doi":"10.5040/9798216426059.ch-008","title":"Energy Storage Technology and the Automotive Industry","year":2024,"lang":"","type":"other","venue":"Alternative Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Automotive industry; Work (physics); Production (economics); Product (mathematics); Industry 4.0","score_opus":0.011244954744126526,"score_gpt":0.2650240051050528,"score_spread":0.2537790503609263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415573135","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0068135834,0.04372541,0.001315318,0.01862506,0.0014344935,0.000022293405,0.00042186462,0.00012816803,0.9275139],"genre_scores_gemma":[0.10824081,0.06965849,0.00097585924,0.0023325328,0.0018151134,0.00004321349,0.00037528083,0.000090816146,0.8164679],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99978393,0.00003299469,0.0000069442503,0.000020227364,0.00011500814,0.000040971216],"domain_scores_gemma":[0.9997116,0.000098771765,0.00002067478,0.000027474214,0.0001156647,0.00002587297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034655546,0.00046145826,0.0002158181,0.0017126929,0.0009918195,0.002367098,0.0003472574,0.0021497235,0.06924072],"category_scores_gemma":[0.00067818596,0.00012189764,0.00024259479,0.0024094067,0.0008204921,0.0021127416,0.0009407704,0.00085158466,0.009586865],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014902905,0.00015559772,0.00076422526,0.00042300267,0.000010508883,0.0001300911,0.00015564833,0.0010217461,0.0026483797,0.50631046,0.19883199,0.2893993],"study_design_scores_gemma":[0.000013101164,0.000069147565,0.0012629824,0.00023264973,0.0000072151684,0.00012371592,0.00032484162,0.0010347886,0.0019206916,0.07927765,0.91572124,0.000011952376],"about_ca_topic_score_codex":0.0074371286,"about_ca_topic_score_gemma":0.009982217,"teacher_disagreement_score":0.06924072,"about_ca_system_score_codex":0.0019546722,"about_ca_system_score_gemma":0.0016125666,"threshold_uncertainty_score":0.2316333},"labels":[],"label_agreement":null},{"id":"W4415592261","doi":"10.1016/j.applthermaleng.2025.128814","title":"Multi-length-scale thermal modeling of lithium-ion batteries from sub-cell to pack","year":2025,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Ontario Research Foundation; CMC Microsystems","keywords":"Battery (electricity); Battery pack; Thermal; Range (aeronautics); Reliability (semiconductor); Heat generation; Work (physics); Power (physics)","score_opus":0.010016673033898572,"score_gpt":0.21997621703173667,"score_spread":0.2099595439978381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415592261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5804296,0.002572756,0.2906165,0.0014184482,0.0003748598,0.00013798833,0.0014296469,0.0013344252,0.12168576],"genre_scores_gemma":[0.97205555,0.00057796034,0.0105413925,0.00011946375,0.0000429844,0.000096383425,0.0003018419,0.00016283024,0.016101444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991846,0.00001577451,0.0000043955806,0.000018351671,0.000025926125,0.000017001226],"domain_scores_gemma":[0.9998518,0.000043947028,0.000017686036,0.000025501162,0.000047456662,0.000013597623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015633318,0.0005085742,0.0006342524,0.0002804622,0.00059612026,0.0009963372,0.0013106556,0.0011251202,0.0033996596],"category_scores_gemma":[0.00045493606,0.0004309242,0.0008666637,0.0004553493,0.0005141572,0.0012716189,0.0005431636,0.00064118265,0.00076618436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001403288,0.000019466512,0.00030983269,0.000021768945,0.000009291379,0.000041860414,0.000020382118,0.992664,0.0029512541,0.0020539933,0.00024120476,0.0016528547],"study_design_scores_gemma":[0.0000017752683,0.000006781981,0.00016963623,0.0000020104383,0.0000031982422,0.0000065803843,0.000006900657,0.99859256,0.00041148966,0.00047672397,0.0003189826,0.000003401973],"about_ca_topic_score_codex":0.010711323,"about_ca_topic_score_gemma":0.011280785,"teacher_disagreement_score":0.010711323,"about_ca_system_score_codex":0.0010663708,"about_ca_system_score_gemma":0.00075197,"threshold_uncertainty_score":0.021297932},"labels":[],"label_agreement":null},{"id":"W4415593957","doi":"10.1109/tpel.2025.3625535","title":"A Comprehensive Review of Topologies and Energy Management Methods for Hybrid Energy Storage Systems in Electric Vehicle Applications","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Network topology; Energy storage; Energy management; Supercapacitor; Reinforcement learning; Key (lock); Electric vehicle; Power management; Hybrid vehicle","score_opus":0.012619189456921111,"score_gpt":0.31930883154215883,"score_spread":0.30668964208523775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415593957","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022168693,0.94662595,0.028056527,0.00056188565,0.0010415601,0.00007514752,0.00045277574,0.00021494359,0.020754403],"genre_scores_gemma":[0.01615436,0.95794755,0.014465685,0.00045005887,0.00067375624,0.00008311964,0.0009472583,0.00006397489,0.009214217],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99974376,0.00003837454,0.000049725553,0.000049313276,0.000103067636,0.000015722078],"domain_scores_gemma":[0.9997187,0.00011856495,0.000034599994,0.000016785292,0.00010086005,0.000010469483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003999761,0.000995403,0.00081069395,0.0016900613,0.0003250194,0.0009785173,0.0008043357,0.00066543365,0.008113388],"category_scores_gemma":[0.000691032,0.00037714987,0.00069755333,0.0025718107,0.00021717802,0.0018598018,0.0004314953,0.0007023662,0.0028023326],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006833264,0.00007079018,0.00032058355,0.027700594,0.00014018863,0.00019078764,0.00011391494,0.0069137434,0.0074665872,0.016503988,0.040852778,0.8996578],"study_design_scores_gemma":[0.0000074714126,0.00014896541,0.0006520536,0.0032560641,0.00017395982,0.0007128076,0.000094905045,0.0038069242,0.0024671408,0.0061407695,0.98249465,0.000044339005],"about_ca_topic_score_codex":0.0007754804,"about_ca_topic_score_gemma":0.0012266401,"teacher_disagreement_score":0.008113388,"about_ca_system_score_codex":0.00035280353,"about_ca_system_score_gemma":0.0007796888,"threshold_uncertainty_score":0.027141988},"labels":[],"label_agreement":null},{"id":"W4415644415","doi":"10.3390/batteries11110393","title":"Comparative Analysis of ML and DL Models for Data-Driven SOH Estimation of LIBs Under Diverse Temperature and Load Conditions","year":2025,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cegep de Saint Jerome; Université du Québec à Trois-Rivières; Institut National de la Recherche Scientifique","funders":"","keywords":"Benchmarking; Robustness (evolution); Inference; Software deployment; Generalization; Ranging; Predictive modelling; Mean squared error","score_opus":0.04819731218818473,"score_gpt":0.3430261373381941,"score_spread":0.29482882515000935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415644415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72368294,0.0039348677,0.25613427,0.0010392078,0.00020664069,0.00013071675,0.0019525102,0.006015131,0.006903698],"genre_scores_gemma":[0.9764871,0.0004470086,0.019031283,0.00017485762,0.000025503203,0.00009946853,0.001813785,0.000165472,0.0017554803],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995689,0.0001215462,0.000038774142,0.00011647378,0.00009604941,0.00005832779],"domain_scores_gemma":[0.99864024,0.00074574887,0.00008505533,0.00012373946,0.00035819062,0.000047040066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018769393,0.0011665613,0.0007714932,0.00070066703,0.00030989439,0.0011032184,0.0011405185,0.0007548799,0.0014404983],"category_scores_gemma":[0.0055324277,0.00030320746,0.00082697795,0.00042996256,0.0003930102,0.0011031753,0.00084600685,0.001166523,0.00072639715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037938033,0.00009403217,0.008390766,0.00021269784,0.000185321,0.00007904389,0.00008283366,0.9228594,0.003514297,0.0011904483,0.0015681081,0.061443735],"study_design_scores_gemma":[0.000005301484,0.00004780436,0.0008871494,0.000013844903,0.000015507347,0.000013028479,0.00001936894,0.9962954,0.001996528,0.00046745743,0.00022894725,0.000009708211],"about_ca_topic_score_codex":0.01743786,"about_ca_topic_score_gemma":0.016244372,"teacher_disagreement_score":0.01743786,"about_ca_system_score_codex":0.0007886878,"about_ca_system_score_gemma":0.0010576457,"threshold_uncertainty_score":0.034672737},"labels":[],"label_agreement":null},{"id":"W4415649731","doi":"10.3390/en18215645","title":"Optimal Direct Parameter Extraction of a Lithium-Ion Equivalent Circuit Cell Model for Electric Vehicle Application","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Mitacs","keywords":"Robustness (evolution); Equivalent circuit; Parametrization (atmospheric modeling); Automotive industry; Transient (computer programming); Battery pack; Battery (electricity); Control theory (sociology)","score_opus":0.020137025402329693,"score_gpt":0.2831146614267651,"score_spread":0.2629776360244354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415649731","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.052786816,0.00027598446,0.93402165,0.00017888485,0.000029315883,0.000095519405,0.0002438676,0.0006103354,0.011757619],"genre_scores_gemma":[0.8688801,0.0003422789,0.121648505,0.000058617352,0.000016767988,0.00027143655,0.0004400929,0.00019924417,0.008142957],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989593,0.000024225485,0.0000060480656,0.00001806373,0.000046708807,0.000008936424],"domain_scores_gemma":[0.9997904,0.00009651175,0.000017893686,0.000035177898,0.00005540666,0.000004635755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002454956,0.0004910965,0.000340878,0.00027981054,0.00019555942,0.0007212452,0.0005849961,0.00062682206,0.002858791],"category_scores_gemma":[0.0010985939,0.00022379393,0.00039391604,0.00028371668,0.00022617179,0.00068811077,0.00034675686,0.0005604367,0.0007220182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072126604,0.000046352747,0.00069129607,0.00016221184,0.000018812156,0.00008446121,0.000089262685,0.928535,0.023682352,0.0057317703,0.0010622739,0.039824143],"study_design_scores_gemma":[0.0000050825556,0.000023056657,0.00012195622,0.000007674225,0.0000052281043,0.000021462696,0.000015212773,0.99300086,0.0043538567,0.00089267455,0.0015473133,0.0000056859967],"about_ca_topic_score_codex":0.0030945616,"about_ca_topic_score_gemma":0.0035324958,"teacher_disagreement_score":0.0030945616,"about_ca_system_score_codex":0.00035753142,"about_ca_system_score_gemma":0.0005378731,"threshold_uncertainty_score":0.009563625},"labels":[],"label_agreement":null},{"id":"W4415747924","doi":"10.1109/jestie.2025.3627084","title":"A Dual-Domain Diagnostic Window for Aging Analysis of Lithium-Ion Batteries","year":2025,"lang":"","type":"article","venue":"IEEE Journal of Emerging and Selected Topics in Industrial Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Electrical impedance; Ohmic contact; Battery (electricity); Equivalent circuit; Dielectric spectroscopy; Voltage; Work (physics); Diffusion","score_opus":0.021594069756061516,"score_gpt":0.2986424969870299,"score_spread":0.27704842723096834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415747924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6889811,0.0034378208,0.29313484,0.0004391837,0.00026690194,0.00010491029,0.001617667,0.0054535065,0.0065639974],"genre_scores_gemma":[0.9565924,0.0006251173,0.040012825,0.00015456817,0.000047810798,0.00009503399,0.00039441072,0.00013233985,0.0019455426],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997564,0.000023986962,0.000014044518,0.0000666159,0.0001182424,0.000020665182],"domain_scores_gemma":[0.99969685,0.000088039524,0.000035398898,0.000054423937,0.000108158456,0.00001714862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036135982,0.0005339106,0.00036215567,0.0007195258,0.00017024,0.0005559513,0.0005667658,0.0006656931,0.0016750277],"category_scores_gemma":[0.0009573851,0.00017853445,0.0001636595,0.00044380676,0.00024455227,0.0007774097,0.0005876222,0.0005765815,0.0005046444],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001812849,0.00004089928,0.0009303477,0.000096554904,0.000006261691,0.00010490255,0.0000732787,0.0005878532,0.97401154,0.00042754444,0.0003583295,0.023181183],"study_design_scores_gemma":[0.000010787069,0.00019658882,0.0036922067,0.0000171253,0.000018225495,0.00046074283,0.000072329196,0.018657159,0.972014,0.0005322236,0.0043027373,0.000025952015],"about_ca_topic_score_codex":0.0002146326,"about_ca_topic_score_gemma":0.00045670036,"teacher_disagreement_score":0.0016750277,"about_ca_system_score_codex":0.00016467432,"about_ca_system_score_gemma":0.00014221661,"threshold_uncertainty_score":0.005603552},"labels":[],"label_agreement":null},{"id":"W4415749871","doi":"10.1007/978-981-95-0441-1_15","title":"A Review on Electric Vehicle Battery Fault Diagnosis Methodologies","year":2025,"lang":"en","type":"book-chapter","venue":"Green energy and technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Battery (electricity); Fault (geology); Variety (cybernetics); Electric vehicle; Prognostics; Fault detection and isolation","score_opus":0.0316564781237338,"score_gpt":0.2828829954512585,"score_spread":0.2512265173275247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415749871","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013671214,0.9272059,0.040724576,0.00078263023,0.002904458,0.000046447978,0.00030519263,0.00036381837,0.026299894],"genre_scores_gemma":[0.011273064,0.90436786,0.028316785,0.0011726582,0.0024584916,0.00005674131,0.0011430054,0.00013264598,0.05107875],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99974746,0.00002551492,0.000026973064,0.00006308015,0.00012041509,0.000016697735],"domain_scores_gemma":[0.99947447,0.000220534,0.000036080204,0.000027908873,0.0002267298,0.000014312841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033070493,0.0008967308,0.00080629723,0.0024073895,0.00021660703,0.0011711853,0.0010123315,0.0006735425,0.008686943],"category_scores_gemma":[0.0010259857,0.00038285428,0.00048008098,0.0038622057,0.00024953068,0.0020228992,0.00047985083,0.0008044154,0.0050247554],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003224935,0.000041356812,0.00015332222,0.003933253,0.000045096433,0.00008064764,0.000033125038,0.0022991525,0.0025430545,0.005146436,0.050288886,0.9354034],"study_design_scores_gemma":[0.00000808526,0.000098533485,0.00077858666,0.0024405944,0.00009138557,0.00074002164,0.00007040695,0.0037679877,0.0025111258,0.007959246,0.98150015,0.00003390091],"about_ca_topic_score_codex":0.0013315439,"about_ca_topic_score_gemma":0.0021505214,"teacher_disagreement_score":0.008686943,"about_ca_system_score_codex":0.00046403627,"about_ca_system_score_gemma":0.00066346495,"threshold_uncertainty_score":0.029060662},"labels":[],"label_agreement":null},{"id":"W4415930592","doi":"10.3390/batteries11110408","title":"Excitation Signal Design for Fast Electrochemical Impedance Spectroscopy in Battery Testing","year":2025,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrical impedance; Robustness (evolution); Dielectric spectroscopy; Noise (video); Sampling (signal processing); Output impedance; Sensitivity (control systems); Excitation","score_opus":0.024228815820733513,"score_gpt":0.28816282802567783,"score_spread":0.26393401220494433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415930592","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022301406,0.00032358104,0.9745882,0.00012935903,0.000059896673,0.0001614184,0.000055886838,0.00060680154,0.0017734439],"genre_scores_gemma":[0.39555463,0.0005004836,0.60034996,0.0002864658,0.000053221946,0.0005633011,0.00021038287,0.00015537415,0.0023261402],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993686,0.00014435357,0.0000469548,0.0001543315,0.00024259249,0.000043215387],"domain_scores_gemma":[0.999275,0.00024404177,0.00010339018,0.0000732161,0.0002770918,0.00002722227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066618185,0.0006181794,0.00036084143,0.00049602316,0.0002832961,0.0005739308,0.0010343624,0.0009089161,0.002034759],"category_scores_gemma":[0.001866689,0.00028904868,0.00023143296,0.00056046736,0.0003103811,0.0008499897,0.0005527289,0.00059045374,0.0011794083],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042695992,0.00022042601,0.00094886904,0.0006394006,0.000028273598,0.0003439889,0.00024696504,0.031410784,0.71224636,0.010932248,0.001827653,0.24072807],"study_design_scores_gemma":[0.0000810658,0.0012179585,0.001667418,0.000095447205,0.000043809283,0.00053125207,0.00008105066,0.37733164,0.5939801,0.004344828,0.020550773,0.00007471281],"about_ca_topic_score_codex":0.00029748076,"about_ca_topic_score_gemma":0.00055752444,"teacher_disagreement_score":0.002034759,"about_ca_system_score_codex":0.00047566948,"about_ca_system_score_gemma":0.0003911028,"threshold_uncertainty_score":0.00680691},"labels":[],"label_agreement":null},{"id":"W4415968592","doi":"10.1109/iecon58223.2025.11221577","title":"Thermal Behavior Forecasting for Battery Management Systems Using iTransformer and Kolmogorov–Arnold Network","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robustness (evolution); Battery (electricity); Model predictive control; Temperature control; Energy management; Core (optical fiber); Thermal; State of charge; Temperature measurement","score_opus":0.04254635445697598,"score_gpt":0.291778303764931,"score_spread":0.24923194930795506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415968592","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03320922,0.00032357642,0.9629782,0.00020092168,0.000064823165,0.000017726163,0.00007532939,0.0008682525,0.0022619704],"genre_scores_gemma":[0.9400138,0.00029260808,0.05731991,0.00007720757,0.000046335786,0.00004469446,0.00015226995,0.00004651967,0.0020067925],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998572,0.000030582916,0.000011459979,0.000038285383,0.00004742746,0.000014994744],"domain_scores_gemma":[0.999655,0.00015032695,0.000048380454,0.000037179158,0.00009602133,0.000013092949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033945724,0.0005803292,0.00043213257,0.00033515517,0.00022262259,0.0004693372,0.000678472,0.00037008023,0.000916891],"category_scores_gemma":[0.0010871275,0.00028077097,0.00042942617,0.00031788772,0.00032825363,0.0009359341,0.00039219542,0.0007228085,0.00032183086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058375444,0.00002545382,0.0012986439,0.000034601613,0.000029209568,0.0000446524,0.000034222212,0.92587173,0.003341392,0.0028235766,0.0005575483,0.06588064],"study_design_scores_gemma":[5.995133e-7,0.0000045452316,0.00009521911,8.8028594e-7,0.0000014633193,0.0000029549096,0.0000013257221,0.99885905,0.0002982204,0.000640597,0.000093686926,0.0000014984939],"about_ca_topic_score_codex":0.007424028,"about_ca_topic_score_gemma":0.008343236,"teacher_disagreement_score":0.007424028,"about_ca_system_score_codex":0.00050293654,"about_ca_system_score_gemma":0.00043470153,"threshold_uncertainty_score":0.014761627},"labels":[],"label_agreement":null},{"id":"W4415968825","doi":"10.1109/iecon58223.2025.11221388","title":"Equivalent Circuit Parameterization from Electrochemical Impedance Spectroscopy Data for Accurate Battery Degradation Prediction using Convolution Neural Network","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Interpretability; Equivalent circuit; Dielectric spectroscopy; Robustness (evolution); Convolutional neural network; Nyquist plot; Electrical impedance; Artificial neural network","score_opus":0.07683736095152599,"score_gpt":0.33779958499187096,"score_spread":0.26096222404034497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415968825","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08336375,0.00043110552,0.909949,0.00021149742,0.000043810975,0.000051372066,0.00062890025,0.0032403697,0.0020800976],"genre_scores_gemma":[0.8680162,0.0005046358,0.12606683,0.000102081416,0.00002991943,0.00014153961,0.0017602269,0.00014591728,0.0032328228],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988985,0.000012967729,0.000008332576,0.000032336404,0.000042524698,0.00001390111],"domain_scores_gemma":[0.9998005,0.00007324237,0.000031206535,0.000029887246,0.000057496436,0.000007738242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030063099,0.00091481936,0.00036685896,0.0006907557,0.00016103874,0.00050069153,0.00063869177,0.00045245254,0.0016792557],"category_scores_gemma":[0.0013270917,0.00020516293,0.00042542894,0.00042013644,0.00018795847,0.00084022613,0.00039262115,0.0006987033,0.00053924625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015199378,0.00017151033,0.0052992743,0.0002378651,0.00008140733,0.00020026554,0.00009062453,0.5840279,0.0942234,0.0039258953,0.0031408498,0.30844906],"study_design_scores_gemma":[0.0000016669303,0.00001149775,0.0005499935,0.0000042499346,0.000004773115,0.000022625143,0.0000050314766,0.99179286,0.005942173,0.0010996476,0.0005610422,0.0000045233983],"about_ca_topic_score_codex":0.003706633,"about_ca_topic_score_gemma":0.0058992314,"teacher_disagreement_score":0.003706633,"about_ca_system_score_codex":0.0004418797,"about_ca_system_score_gemma":0.0005166905,"threshold_uncertainty_score":0.0073701143},"labels":[],"label_agreement":null},{"id":"W4415968946","doi":"10.1109/iecon58223.2025.11221372","title":"Thermal Profiling of Next-Generation Solid-State Batteries for Advanced Automotive Battery Management Systems","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); Thermal management of electronic devices and systems; Thermal; Energy management; Thermal runaway; Profiling (computer programming); Automotive industry","score_opus":0.03392407683135677,"score_gpt":0.3029526522256316,"score_spread":0.2690285753942748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415968946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96746105,0.001623139,0.022513349,0.00015976735,0.000075379496,0.00005083304,0.0013796687,0.00047812125,0.006258585],"genre_scores_gemma":[0.9959508,0.00028793898,0.0022360655,0.00002268183,0.0000058715573,0.000021459555,0.00038289936,0.000031458814,0.0010607867],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998627,0.000010153305,0.0000074007257,0.000022234035,0.00008118211,0.00001637232],"domain_scores_gemma":[0.99986386,0.00001823678,0.000011220705,0.000012547578,0.00008654039,0.0000075671824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001757558,0.00019620995,0.00025934758,0.00038106626,0.00022157755,0.00039353975,0.0002401993,0.00022036355,0.0013939862],"category_scores_gemma":[0.00032948016,0.000091435475,0.00016438158,0.00037396562,0.000111454814,0.00049232127,0.00016610355,0.00018199297,0.00048025695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054740685,0.00008673976,0.019930199,0.00039775262,0.000029576271,0.00022834608,0.00032559334,0.011334236,0.89366126,0.0006624056,0.0021016255,0.07069492],"study_design_scores_gemma":[0.0000112639955,0.0003367302,0.035754293,0.000036749465,0.000042271116,0.00030454018,0.00046972814,0.073690414,0.8771043,0.0004704519,0.011736934,0.000042301766],"about_ca_topic_score_codex":0.0010142023,"about_ca_topic_score_gemma":0.0023036683,"teacher_disagreement_score":0.0013939862,"about_ca_system_score_codex":0.0003204354,"about_ca_system_score_gemma":0.00021042491,"threshold_uncertainty_score":0.0046632886},"labels":[],"label_agreement":null},{"id":"W4415969316","doi":"10.1109/iecon58223.2025.11221061","title":"Time-Varying Current Charging Strategies for Lithium-Ion Batteries in Electric Vehicles: Trends, Challenges, and Opportunities","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Battery (electricity); Current (fluid); Constant current; Electric vehicle; Range (aeronautics); Driving range; Lithium (medication)","score_opus":0.066293574044097,"score_gpt":0.310814060937162,"score_spread":0.24452048689306502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415969316","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16495746,0.357891,0.40880576,0.0054778853,0.0009060107,0.0002851966,0.0004943312,0.00093408086,0.060248304],"genre_scores_gemma":[0.7989248,0.1464491,0.043037135,0.0006473657,0.0003837059,0.0001200999,0.00048721567,0.00011323745,0.009837341],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996371,0.00006466821,0.0000263447,0.00006569079,0.00017759514,0.000028663195],"domain_scores_gemma":[0.99952507,0.00019688974,0.00004659158,0.000024879666,0.0001923066,0.000014242297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007274505,0.00042531133,0.0003279649,0.0008015503,0.00027381093,0.0013494715,0.0009094493,0.00064386503,0.0011394694],"category_scores_gemma":[0.0013688379,0.00017086284,0.00035668473,0.0012993255,0.00038511062,0.0023544962,0.0004715109,0.0006599595,0.00049531495],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023972095,0.00014801069,0.005439601,0.002776176,0.00007101603,0.0002461197,0.00038005438,0.04281825,0.027493255,0.034912057,0.0055655604,0.8799101],"study_design_scores_gemma":[0.00006576894,0.0019441401,0.007918922,0.0014152508,0.00037191733,0.0022438876,0.0024482417,0.41066942,0.14166316,0.056933325,0.37400594,0.00032000337],"about_ca_topic_score_codex":0.0016871435,"about_ca_topic_score_gemma":0.0021369003,"teacher_disagreement_score":0.0016871435,"about_ca_system_score_codex":0.0007702282,"about_ca_system_score_gemma":0.00047149585,"threshold_uncertainty_score":0.0055884123},"labels":[],"label_agreement":null},{"id":"W4416110345","doi":"10.1016/j.est.2025.119378","title":"A weighted ensemble approach for interpretable state of health estimation of lithium-ion batteries based on generalized additive models","year":2025,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Western University","keywords":"Additive model; State (computer science); Estimation; Generalized additive model; State of health","score_opus":0.017527889309558863,"score_gpt":0.2748193799735409,"score_spread":0.25729149066398205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416110345","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01075408,0.00024012798,0.98809683,0.00006984604,0.000024504407,0.00001279128,0.000043515516,0.00021138256,0.00054700405],"genre_scores_gemma":[0.7796084,0.00088681997,0.21484762,0.00020386727,0.00013614737,0.00019766825,0.00053128577,0.00013197215,0.0034561437],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995839,0.00012256959,0.000029103418,0.00011444971,0.00010507024,0.00004487248],"domain_scores_gemma":[0.9994093,0.000287147,0.00006682192,0.000052967476,0.00016249293,0.000021265865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091027765,0.0012564295,0.0010184019,0.0007343374,0.00033310882,0.00082441577,0.0011499932,0.000749164,0.0009831828],"category_scores_gemma":[0.002588011,0.00045832185,0.0012779521,0.0006371254,0.00036038502,0.0010959159,0.00089663727,0.0013001679,0.00030294855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007102061,0.000042876738,0.0015926168,0.00007069341,0.00014716247,0.00008671903,0.00010504978,0.8604075,0.004074052,0.005501867,0.00087528967,0.12702519],"study_design_scores_gemma":[0.0000011275586,0.000012593296,0.0001280807,0.0000038569033,0.000012730955,0.000009168757,0.000004054717,0.99767464,0.00032155454,0.0016447514,0.00018273918,0.000004755613],"about_ca_topic_score_codex":0.0054385248,"about_ca_topic_score_gemma":0.0064339037,"teacher_disagreement_score":0.0054385248,"about_ca_system_score_codex":0.00037102448,"about_ca_system_score_gemma":0.0004926031,"threshold_uncertainty_score":0.010813773},"labels":[],"label_agreement":null},{"id":"W4416187744","doi":"10.2139/ssrn.5741335","title":"Time-Varying Parameter-Inverse Physics Informed Long-Short Time Memoryfor Battery State of Health Estimation","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Battery (electricity); Artificial neural network; Battery capacity; Function (biology); State (computer science); State of health; Estimation","score_opus":0.018358523878536065,"score_gpt":0.30254335602498894,"score_spread":0.28418483214645285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416187744","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028779566,0.0013104033,0.96700627,0.00044258495,0.00011504583,0.000030304538,0.00041343353,0.0005482199,0.0013543647],"genre_scores_gemma":[0.8501886,0.001796134,0.13256188,0.00043669497,0.0002485716,0.000121728364,0.001723876,0.0002614692,0.012660948],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984074,0.00003611681,0.000010329575,0.000044865737,0.000042459476,0.000025500103],"domain_scores_gemma":[0.9992224,0.00047396947,0.00008138243,0.00010924009,0.000086987304,0.0000260786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006982334,0.00090366165,0.0010550608,0.000500169,0.00029095978,0.0010736719,0.0011216529,0.0021252108,0.003782398],"category_scores_gemma":[0.0040963306,0.0007398577,0.00080850604,0.0008203491,0.00064557116,0.0017837188,0.0013151686,0.0017591799,0.0010242957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000434927,0.000101086196,0.0018636615,0.00033764108,0.00015092369,0.00019315936,0.00008739051,0.8696377,0.011110366,0.011128314,0.0021400459,0.10281475],"study_design_scores_gemma":[0.000008460465,0.000018577408,0.0005464423,0.00001206846,0.000016927526,0.00005721753,0.000008319256,0.99064076,0.0018407322,0.0064544245,0.00038184566,0.000014291524],"about_ca_topic_score_codex":0.004120175,"about_ca_topic_score_gemma":0.0067533553,"teacher_disagreement_score":0.004120175,"about_ca_system_score_codex":0.00050178444,"about_ca_system_score_gemma":0.0009709154,"threshold_uncertainty_score":0.012653351},"labels":[],"label_agreement":null},{"id":"W4416272331","doi":"10.14447/jnmes/vol28i2.art13","title":"Efficient Artificial Neural Network for Predicting Power and Range in Fuel Cell Electric Vehicles","year":2025,"lang":"","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Range (aeronautics); Fuel cells; Power (physics); Electric vehicle; Driving range","score_opus":0.01242934252020793,"score_gpt":0.2630873493342344,"score_spread":0.25065800681402645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416272331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63348603,0.0021119951,0.3568803,0.0003565364,0.00022642645,0.00005700495,0.000395712,0.0006620954,0.0058238697],"genre_scores_gemma":[0.98410577,0.00013493939,0.014074122,0.000025620076,0.000018984703,0.000022784014,0.00012462298,0.000011065519,0.001482182],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999162,0.000018828508,0.0000073541923,0.00002185235,0.000020673984,0.000015143712],"domain_scores_gemma":[0.9996275,0.00023736991,0.000018723047,0.000011562214,0.000096428696,0.0000084082185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000378399,0.0003957768,0.0003488333,0.00038291083,0.0002321696,0.00037408437,0.0005188084,0.0006294421,0.0008438951],"category_scores_gemma":[0.0011509346,0.00022784814,0.00023813655,0.0003249395,0.00013881378,0.0005397746,0.0002580957,0.00049334037,0.00014525243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009574638,0.00007427708,0.0017473651,0.000022317938,0.000021815169,0.000025156396,0.000009064891,0.9352113,0.0015473248,0.00044237694,0.00041247002,0.060390715],"study_design_scores_gemma":[8.3489607e-7,0.000005225421,0.0001289037,8.060289e-7,0.0000015575037,0.0000012301506,0.0000012537771,0.9994869,0.00025584537,0.00009437031,0.000022272105,6.8752695e-7],"about_ca_topic_score_codex":0.012704638,"about_ca_topic_score_gemma":0.009716053,"teacher_disagreement_score":0.012704638,"about_ca_system_score_codex":0.0004878148,"about_ca_system_score_gemma":0.0003130074,"threshold_uncertainty_score":0.025261402},"labels":[],"label_agreement":null},{"id":"W4416285985","doi":"10.2139/ssrn.5696824","title":"&lt;p&gt;Thermal Management of a Lithium-Ion Battery Pack using Phase Change Material Integrated with Metal Foam&lt;/p&gt;","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Battery (electricity); Operating temperature; Phase-change material; Copper; Computer cooling; Span (engineering); Heat transfer; Temperature measurement","score_opus":0.023710591829392696,"score_gpt":0.2894006653920946,"score_spread":0.2656900735627019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416285985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95142496,0.0005674202,0.035338327,0.0004177107,0.00016868114,0.000041666826,0.00017047445,0.0016124736,0.01025843],"genre_scores_gemma":[0.9904621,0.00009405162,0.003638185,0.00003123905,0.000017073242,0.0000066568896,0.000054154334,0.000046510464,0.005650001],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999709,0.0000031770942,0.0000015174576,0.0000038391436,0.000013711642,0.000006807229],"domain_scores_gemma":[0.9999558,0.0000118550715,0.0000057840953,0.0000061884675,0.000014745182,0.0000055580877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006173391,0.00011748271,0.00015649454,0.00019921295,0.0002458821,0.00022492083,0.00024078172,0.00021641544,0.0032216727],"category_scores_gemma":[0.00012707077,0.000094260875,0.00013772633,0.00010205432,0.00016725772,0.00036820123,0.00013601675,0.00012257029,0.00037293925],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013733964,0.00018850705,0.0024204403,0.00018466012,0.000020875053,0.0006815313,0.00018916473,0.01237589,0.86563504,0.0011973071,0.004723854,0.11100939],"study_design_scores_gemma":[0.000059040885,0.0013560405,0.008749935,0.000016027754,0.000048784575,0.0004984797,0.00014308178,0.216503,0.76185805,0.0010965326,0.009643199,0.00002784267],"about_ca_topic_score_codex":0.0006392048,"about_ca_topic_score_gemma":0.0011718342,"teacher_disagreement_score":0.0032216727,"about_ca_system_score_codex":0.00011576933,"about_ca_system_score_gemma":0.000087546236,"threshold_uncertainty_score":0.010777533},"labels":[],"label_agreement":null},{"id":"W4416300796","doi":"10.20944/preprints202511.0955.v1","title":"Lithium-ion Battery Open-Circuit Voltage Analysis for Extreme Temperature Applications&lt;sup&gt; †&lt;/sup&gt;","year":2025,"lang":"","type":"preprint","venue":"Preprints.org","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Voltage; Battery (electricity); Test data; Cutoff; Open-circuit voltage; Voltage drop; USable; Control theory (sociology)","score_opus":0.105563308522019,"score_gpt":0.346186794109787,"score_spread":0.24062348558776797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416300796","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36700612,0.0011887802,0.60963005,0.0003535504,0.00022343613,0.00011316747,0.001610481,0.008242482,0.011631936],"genre_scores_gemma":[0.9535464,0.0003899954,0.040878884,0.00007415716,0.000026679421,0.00006618717,0.0009538172,0.0003371561,0.003726572],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979395,0.00002026781,0.000013552743,0.000034300196,0.00012077816,0.000017176837],"domain_scores_gemma":[0.99957675,0.000080361904,0.000050283343,0.00010347872,0.00017798081,0.000011134382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000235041,0.0004574677,0.00024296608,0.0004932226,0.00020491758,0.0005795145,0.0006023834,0.0003713141,0.0034573658],"category_scores_gemma":[0.00093591935,0.000115814386,0.00021531103,0.00045881668,0.000189021,0.00058584556,0.00038342588,0.00046602552,0.0011485541],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031174335,0.00009484714,0.012440503,0.00035432767,0.00004887232,0.0003915246,0.0002607176,0.032600377,0.60440505,0.0022563392,0.0069395592,0.33989614],"study_design_scores_gemma":[0.000012432995,0.00024436606,0.020800903,0.00003964915,0.000034387354,0.0005532665,0.00019182084,0.32634646,0.6386305,0.0023656113,0.010715128,0.0000654686],"about_ca_topic_score_codex":0.0009073932,"about_ca_topic_score_gemma":0.0017698347,"teacher_disagreement_score":0.0034573658,"about_ca_system_score_codex":0.00031196378,"about_ca_system_score_gemma":0.00023028135,"threshold_uncertainty_score":0.011566043},"labels":[],"label_agreement":null},{"id":"W4416341612","doi":"10.1109/epec65543.2025.11230424","title":"Accurate Impedance Spectroscopy of Rechargeable Li-ion Batteries","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Electrical impedance; Battery (electricity); Voltage; SIGNAL (programming language); Dielectric spectroscopy; Nonlinear system; Output impedance; Excitation","score_opus":0.019369868486812877,"score_gpt":0.31326654166261636,"score_spread":0.2938966731758035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416341612","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38914984,0.005029506,0.59097105,0.0011149884,0.00035808887,0.00013629682,0.0010185916,0.0023898354,0.0098318625],"genre_scores_gemma":[0.95163375,0.0020341156,0.042376403,0.00015401261,0.000059726426,0.00006175678,0.00034463863,0.000082662016,0.0032530103],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99940014,0.000057166417,0.000040790994,0.00009375144,0.00037747654,0.000030784962],"domain_scores_gemma":[0.99971217,0.00009294758,0.000039213406,0.000053411102,0.00009189152,0.0000103685825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003965476,0.0005592854,0.0005695699,0.0005089391,0.00025218818,0.00073824136,0.00086879433,0.0010351124,0.0010491618],"category_scores_gemma":[0.0014273517,0.00027588685,0.00020389477,0.00064085855,0.00026067335,0.0019679526,0.00081306754,0.0006020855,0.0006820211],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012375796,0.000039266237,0.0013061288,0.00029744723,0.000016107426,0.00024992117,0.00022324517,0.008832516,0.9241012,0.00203212,0.0008751344,0.061903294],"study_design_scores_gemma":[0.000045556615,0.00022566928,0.006233556,0.00008343563,0.000029565763,0.00059351703,0.00031603608,0.19546331,0.77733505,0.0072200573,0.0123576475,0.00009661236],"about_ca_topic_score_codex":0.00035787295,"about_ca_topic_score_gemma":0.000639066,"teacher_disagreement_score":0.0010491618,"about_ca_system_score_codex":0.00031137012,"about_ca_system_score_gemma":0.00018245218,"threshold_uncertainty_score":0.0035098195},"labels":[],"label_agreement":null},{"id":"W4416341762","doi":"10.1109/epec65543.2025.11230375","title":"Prediction of PCM-Based Battery Pack Thermal Performance Using a Physics-Informed Neural Network","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); Thermal; Instrumentation (computer programming); Transient (computer programming); Heat transfer; Phase-change material; Thermal conduction; Temperature measurement","score_opus":0.03641760839977933,"score_gpt":0.2756350619048439,"score_spread":0.23921745350506454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416341762","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39339232,0.00053055526,0.5979097,0.00036052166,0.00010050508,0.000088282424,0.0003749381,0.0010820901,0.006161188],"genre_scores_gemma":[0.9800695,0.00012385729,0.017354038,0.00005449884,0.000013788167,0.000088853674,0.0002473976,0.000028944281,0.0020191167],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993503,0.0000119840015,0.0000030415529,0.000021129723,0.000017309443,0.000011457636],"domain_scores_gemma":[0.99979454,0.00011717665,0.000019501953,0.000009646186,0.000049189897,0.000009877727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028161623,0.0007816036,0.00039054727,0.0002446873,0.00020358899,0.00036768595,0.00059829943,0.0006036616,0.001080201],"category_scores_gemma":[0.00096668705,0.0003248955,0.00039425903,0.00020829638,0.00036076986,0.0005322795,0.0004123865,0.00071380247,0.00018039676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001267563,0.000011170257,0.00032132867,0.000007707642,0.0000044144285,0.000010134201,0.0000033448891,0.9957339,0.0003871278,0.00013993515,0.000078494115,0.0032898441],"study_design_scores_gemma":[5.303756e-7,0.0000032364972,0.000044139968,4.2452635e-7,5.511858e-7,7.2050085e-7,6.074046e-7,0.99977404,0.00009596446,0.000064929336,0.00001428628,5.1012637e-7],"about_ca_topic_score_codex":0.011285844,"about_ca_topic_score_gemma":0.009592925,"teacher_disagreement_score":0.011285844,"about_ca_system_score_codex":0.00060550554,"about_ca_system_score_gemma":0.0007540891,"threshold_uncertainty_score":0.022440314},"labels":[],"label_agreement":null},{"id":"W4416342213","doi":"10.1109/epec65543.2025.11230429","title":"Dual-Chemistry Load Distribution for EV Battery Systems Using Cascaded H-Bridge Inverters","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Battery (electricity); Power (physics); Energy (signal processing); Work (physics); Transient (computer programming); Power density; Energy storage; Battery pack","score_opus":0.033671146668259176,"score_gpt":0.3036196498592321,"score_spread":0.26994850319097297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416342213","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13527113,0.00080175156,0.8334637,0.00023675831,0.000114749215,0.00018847364,0.00020792075,0.0032727097,0.026442833],"genre_scores_gemma":[0.94447905,0.00016415594,0.051444575,0.000059306225,0.00003141768,0.000060402388,0.0001206571,0.000076408214,0.0035641014],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999188,0.000005967721,0.000004406217,0.00002438554,0.000036193935,0.000010151242],"domain_scores_gemma":[0.99995744,0.0000067382466,0.000008047784,0.0000063909038,0.000013388405,0.000007921859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009339399,0.00029534375,0.00027483673,0.00030523716,0.0003290115,0.00052198896,0.0012079168,0.0002867928,0.005216764],"category_scores_gemma":[0.00012315888,0.00014296797,0.00011321645,0.00031051575,0.00015440695,0.0007059439,0.00044468758,0.0003639757,0.0012191457],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042137594,0.0005481698,0.0019603483,0.00041781436,0.00003755863,0.00016726232,0.0001828969,0.060465936,0.2776953,0.012395775,0.008144627,0.6375629],"study_design_scores_gemma":[0.00006640651,0.00043848887,0.0012636896,0.000025691583,0.000018847808,0.00017355295,0.000037579557,0.8835819,0.09133634,0.0053371578,0.017700743,0.000019636524],"about_ca_topic_score_codex":0.00050724356,"about_ca_topic_score_gemma":0.0014596212,"teacher_disagreement_score":0.005216764,"about_ca_system_score_codex":0.0005516917,"about_ca_system_score_gemma":0.00019950814,"threshold_uncertainty_score":0.017451882},"labels":[],"label_agreement":null},{"id":"W4416363735","doi":"10.3390/batteries11110425","title":"Thermal System Simulation of Heating Strategies for 21700 Lithium-Ion Battery Modules Under Cold-Start Conditions","year":2025,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Battery (electricity); USable; Thermal; Heating system; Energy (signal processing); Electric heating","score_opus":0.023770134040836742,"score_gpt":0.2935571105013628,"score_spread":0.2697869764605261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416363735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9644333,0.00016470194,0.01820311,0.00010918021,0.00002627434,0.00007091346,0.0006055658,0.00029474442,0.016092116],"genre_scores_gemma":[0.99514186,0.00006227128,0.0022423265,0.000015499365,0.0000020201735,0.00008177596,0.00022404999,0.000025944279,0.002204268],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994123,0.000011465161,0.0000025858524,0.000011399375,0.000014198066,0.000019075947],"domain_scores_gemma":[0.99984217,0.00009197432,0.000012680593,0.000009862346,0.000032373984,0.0000109629245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018513888,0.0003874377,0.00047480606,0.00027088795,0.0003709177,0.0004740879,0.00057514757,0.0006918125,0.0048224437],"category_scores_gemma":[0.00048144406,0.00022254829,0.0005627362,0.00027861237,0.00032198188,0.00039440373,0.00027707065,0.00042580097,0.00034003102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008790617,0.00003638673,0.001423475,0.000056236768,0.00001453069,0.00007503325,0.00007019306,0.98954976,0.005510941,0.000645332,0.00021375515,0.0023164519],"study_design_scores_gemma":[0.000012840331,0.00005041673,0.00053808425,0.0000044088997,0.000006819578,0.000007875425,0.00003040972,0.9967542,0.0020733397,0.000156455,0.00036073502,0.000004365954],"about_ca_topic_score_codex":0.008263818,"about_ca_topic_score_gemma":0.0071245003,"teacher_disagreement_score":0.008263818,"about_ca_system_score_codex":0.000677629,"about_ca_system_score_gemma":0.00062451436,"threshold_uncertainty_score":0.01643145},"labels":[],"label_agreement":null},{"id":"W4416381509","doi":"10.1109/itherm55376.2025.11235691","title":"Enhancing Battery Efficiency: Investigating Air-Based Thermal Management Systems with Fin Configurations","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Fin; Dependency (UML); Thermal management of electronic devices and systems; Thermal; Software; Energy (signal processing)","score_opus":0.013094898431030743,"score_gpt":0.2539298580188392,"score_spread":0.24083495958780848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416381509","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9508707,0.0021222862,0.03581224,0.00011051096,0.00008065009,0.000060459217,0.00011628674,0.00023309873,0.010593681],"genre_scores_gemma":[0.9954478,0.00031717186,0.0030711594,0.000014600301,0.0000048307293,0.000011050702,0.000028557173,0.000009542186,0.0010953001],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999335,0.000006738773,0.0000041709404,0.000016027749,0.000021812084,0.000017746008],"domain_scores_gemma":[0.9998826,0.00003062146,0.000016698274,0.000010549311,0.000051512205,0.000008036115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016029313,0.00025448398,0.00034185156,0.00025570396,0.00022201,0.00046139973,0.0005142304,0.00025201077,0.0023281833],"category_scores_gemma":[0.00035709247,0.00010731354,0.00025633958,0.00024147486,0.00018471005,0.00078205176,0.00030836658,0.0001460229,0.00030180032],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014199662,0.00034329988,0.0078096325,0.0014188014,0.0001271458,0.0005980346,0.0003218108,0.25684354,0.5261739,0.0032209144,0.0009936914,0.20072922],"study_design_scores_gemma":[0.00010689917,0.004392044,0.010806555,0.0001278563,0.00026024145,0.00046821643,0.00073685625,0.6122883,0.35882378,0.001914989,0.010013625,0.000060666414],"about_ca_topic_score_codex":0.0010645965,"about_ca_topic_score_gemma":0.0023350138,"teacher_disagreement_score":0.0023281833,"about_ca_system_score_codex":0.00026260136,"about_ca_system_score_gemma":0.00019768557,"threshold_uncertainty_score":0.007788539},"labels":[],"label_agreement":null},{"id":"W4416381524","doi":"10.1109/itherm55376.2025.11235789","title":"Hierarchical thermal transport across multiple length scales in high-capacity lithium-ion batteries for stationary energy storage systems","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Peter Gilgan Foundation; CMC Microsystems","keywords":"Thermal; Battery (electricity); Work (physics); Range (aeronautics); Rack; Energy (signal processing)","score_opus":0.01659905371967846,"score_gpt":0.26315327832045105,"score_spread":0.2465542246007726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416381524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8290653,0.0004306385,0.15902154,0.00032683188,0.000036975864,0.00007603911,0.000236017,0.00027940367,0.010527186],"genre_scores_gemma":[0.98915863,0.00011887936,0.00927616,0.000025770292,0.000004189333,0.000047719856,0.00006638793,0.000030196241,0.0012721054],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999918,0.000017316726,0.0000042616775,0.000016606373,0.000026023812,0.000017755532],"domain_scores_gemma":[0.99981457,0.00008320709,0.000033246844,0.000022544478,0.000030968964,0.00001544259],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023843802,0.00031282453,0.00027140524,0.00026713952,0.00055889343,0.00071431015,0.0005611181,0.00058545347,0.0009740522],"category_scores_gemma":[0.000672077,0.00028853986,0.0004916462,0.0002492848,0.000869836,0.00091040734,0.00047390876,0.0004800228,0.00015651678],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018803248,0.000029407942,0.0010141135,0.000023915145,0.0000059467993,0.000052803553,0.000048706654,0.9864384,0.007754096,0.0028611424,0.00009358516,0.0016591072],"study_design_scores_gemma":[0.000002708132,0.000013384898,0.0004432556,0.0000041045078,0.0000026976252,0.0000085811735,0.00002604118,0.9970885,0.0014542158,0.00078125554,0.00017040374,0.0000047994154],"about_ca_topic_score_codex":0.008762799,"about_ca_topic_score_gemma":0.010007272,"teacher_disagreement_score":0.008762799,"about_ca_system_score_codex":0.0012901218,"about_ca_system_score_gemma":0.0008236513,"threshold_uncertainty_score":0.01742363},"labels":[],"label_agreement":null},{"id":"W4416384723","doi":"10.1016/j.engappai.2025.113178","title":"Learning the Pseudo Two Dimensional model for lithium-ion batteries with State of Health detection","year":2025,"lang":"en","type":"article","venue":"Engineering Applications of Artificial Intelligence","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Artificial neural network; Voltage; Convolutional neural network; Surrogate model; State of health; State (computer science); State of charge","score_opus":0.02170770834132253,"score_gpt":0.300859436404511,"score_spread":0.2791517280631885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416384723","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1289411,0.0005571824,0.8655812,0.00075767987,0.00011003699,0.00005971942,0.0005377778,0.0004983698,0.0029569676],"genre_scores_gemma":[0.97936296,0.00019380308,0.015866162,0.00012567497,0.00003562149,0.00011378145,0.00035896787,0.000023413517,0.0039196],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997937,0.000049630245,0.000011428299,0.00007540535,0.000038695118,0.00003114555],"domain_scores_gemma":[0.9990963,0.00059497985,0.00009600272,0.000055273442,0.00012476023,0.00003267945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049479917,0.000519486,0.00086033856,0.00037825297,0.0002777202,0.0010405107,0.0010072893,0.0013309055,0.0021130433],"category_scores_gemma":[0.0030882133,0.00044430347,0.00064069853,0.000410353,0.0006908801,0.0009577601,0.00074422505,0.0012485089,0.00034902725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009220855,0.00003238532,0.0013374536,0.00004333461,0.000027249389,0.000046221,0.00003233866,0.9791159,0.00083239604,0.0046682074,0.0004635602,0.0133088],"study_design_scores_gemma":[0.000002551829,0.0000075564512,0.0001271598,0.0000016557218,0.0000023997102,0.0000058482797,0.0000013888232,0.99867356,0.00010442597,0.001017471,0.000053445652,0.0000026452026],"about_ca_topic_score_codex":0.007752235,"about_ca_topic_score_gemma":0.0060540605,"teacher_disagreement_score":0.007752235,"about_ca_system_score_codex":0.0007203388,"about_ca_system_score_gemma":0.00067077234,"threshold_uncertainty_score":0.015414238},"labels":[],"label_agreement":null},{"id":"W4416402574","doi":"10.1109/itherm55376.2025.11235814","title":"Thermal performance of liquid cooled and air cooled thermal ground plane-based battery thermal management systems for a high-power density Lithium-ion battery","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Thermal; Heat sink; Battery (electricity); Computer cooling; Thermal management of electronic devices and systems; Work (physics); Air cooling; Phase-change material; Coupling (piping)","score_opus":0.009726114952839617,"score_gpt":0.23143053704209174,"score_spread":0.22170442208925212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416402574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974075,0.00022968158,0.0016721089,0.00002016901,0.000014405787,0.000010963431,0.00009719378,0.00008090063,0.0004670278],"genre_scores_gemma":[0.99858886,0.00010191924,0.00055888726,0.000009477879,0.000003336065,0.000012098276,0.000067980516,0.000010577029,0.00064684206],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998184,0.000029820532,0.000014464976,0.000041677427,0.0000658633,0.00002985092],"domain_scores_gemma":[0.9998565,0.00002830841,0.000024266126,0.000018057215,0.000058999118,0.000013798207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019984398,0.000338162,0.0004363057,0.00019480922,0.00020850303,0.0004396084,0.0005134683,0.00028817312,0.0023013854],"category_scores_gemma":[0.00041208882,0.00013043704,0.00021135005,0.00023662916,0.00020019051,0.0005839271,0.00024409291,0.00022972147,0.00039302744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001395121,0.00010050913,0.002069797,0.00034245054,0.00004419136,0.00010753491,0.00021060095,0.0064761643,0.96714306,0.00014890483,0.0003791757,0.021582516],"study_design_scores_gemma":[0.00004797105,0.0018388027,0.008186536,0.000016303327,0.000056864716,0.00011950936,0.00018877063,0.021750087,0.96594095,0.00005250707,0.0017777183,0.00002394056],"about_ca_topic_score_codex":0.0007704103,"about_ca_topic_score_gemma":0.0011062472,"teacher_disagreement_score":0.0023013854,"about_ca_system_score_codex":0.00030348887,"about_ca_system_score_gemma":0.00022298265,"threshold_uncertainty_score":0.007698953},"labels":[],"label_agreement":null},{"id":"W4416414429","doi":"10.3390/batteries11110426","title":"Advances in Battery Modeling and Management Systems: A Comprehensive Review of Techniques, Challenges, and Future Perspectives","year":2025,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Carleton University; University of Waterloo","funders":"Center of Excellence for Learning in Education, Science and Technology","keywords":"Benchmarking; Battery (electricity); Key (lock); Artificial neural network; Energy management; Cloud computing; Function (biology); Convergence (economics)","score_opus":0.01695920596619583,"score_gpt":0.28071061940973263,"score_spread":0.2637514134435368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416414429","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006725277,0.9797656,0.013588032,0.0017475638,0.0007129519,0.000019840667,0.00008554749,0.00007325252,0.0033346303],"genre_scores_gemma":[0.0059195687,0.9853603,0.005738354,0.00042919812,0.0012498368,0.0000250692,0.00016234769,0.000023453711,0.0010918021],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999286,0.00014324595,0.000095672964,0.00010461465,0.0003224799,0.00004807629],"domain_scores_gemma":[0.9984478,0.00082257396,0.00010981751,0.00008446734,0.0004889007,0.000046287903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016623844,0.0013308561,0.0013417433,0.002296218,0.00037396155,0.0022013602,0.0015597786,0.0014313161,0.0030286557],"category_scores_gemma":[0.002423473,0.0005763686,0.0009787729,0.0035598252,0.0006595841,0.00414053,0.0011641574,0.0019173322,0.0016173065],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053378633,0.000112673384,0.0010089676,0.0129306335,0.00012683417,0.00017008565,0.000230938,0.013527147,0.0017018034,0.050997682,0.03909671,0.8800432],"study_design_scores_gemma":[0.000011870374,0.0001780501,0.0011568484,0.006525619,0.00017903016,0.000792789,0.00033021596,0.017870232,0.0010757188,0.038145073,0.93362755,0.00010692704],"about_ca_topic_score_codex":0.002492602,"about_ca_topic_score_gemma":0.0021445518,"teacher_disagreement_score":0.0030286557,"about_ca_system_score_codex":0.0007898181,"about_ca_system_score_gemma":0.0015944297,"threshold_uncertainty_score":0.010131896},"labels":[],"label_agreement":null},{"id":"W4416582835","doi":"10.1109/tpel.2025.3636265","title":"Multiparameter Estimation of DC-DC Boost Converter via TA-PINN Without High-Frequency Measurements","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Converters; Transient (computer programming); Control theory (sociology); Sampling (signal processing); Boost converter; Voltage; Fault (geology)","score_opus":0.01674037047147895,"score_gpt":0.2799957447927865,"score_spread":0.2632553743213075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416582835","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022276986,0.000200103,0.9748589,0.000065009976,0.000028123413,0.00003333177,0.00003183095,0.00051704067,0.0019886736],"genre_scores_gemma":[0.8991323,0.00017677082,0.09865138,0.00008964608,0.000021197766,0.00008197871,0.00012317958,0.000052905918,0.0016705589],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999806,0.00003153761,0.000011756074,0.00006678014,0.000068076355,0.000015919139],"domain_scores_gemma":[0.99969304,0.00010297537,0.000048562488,0.00004951888,0.00009453706,0.000011513336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048336966,0.000644284,0.00037308043,0.00022728226,0.000221813,0.00043950908,0.00076553226,0.00041252354,0.00094595965],"category_scores_gemma":[0.0014515339,0.00030969977,0.00033637107,0.00023044959,0.00030773456,0.0008558252,0.0007177059,0.0007806408,0.00021820003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022673303,0.00007444005,0.00231361,0.00020147886,0.000073053816,0.00015238389,0.00011986979,0.724594,0.029620932,0.0037931604,0.00094790035,0.23788242],"study_design_scores_gemma":[0.0000023658777,0.00001779808,0.00019265973,0.0000036120286,0.0000055773144,0.00002175573,0.000004289526,0.99626535,0.002569632,0.00069585384,0.00021752919,0.0000036049328],"about_ca_topic_score_codex":0.0019427505,"about_ca_topic_score_gemma":0.0029540942,"teacher_disagreement_score":0.0019427505,"about_ca_system_score_codex":0.00031412576,"about_ca_system_score_gemma":0.0005053978,"threshold_uncertainty_score":0.0038629174},"labels":[],"label_agreement":null},{"id":"W4416727518","doi":"10.1109/ecce-europe62795.2025.11238580","title":"Quadratic Programming Based Power-Mix Control for Dual-Chemistry EV Battery Pack","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Tata Motors","keywords":"Solver; Battery pack; Quadratic programming; Convergence (economics); Battery (electricity); Control theory (sociology); Sequential quadratic programming","score_opus":0.011352507850611225,"score_gpt":0.28350050125546533,"score_spread":0.2721479934048541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416727518","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02140932,0.00017744176,0.9702112,0.00013950215,0.000040587995,0.00007510549,0.0000317755,0.00037758483,0.0075374604],"genre_scores_gemma":[0.9268937,0.00014044959,0.06528927,0.00009333155,0.000030855004,0.00019553256,0.000055026663,0.00010678322,0.0071950667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969006,0.000061656574,0.000013266916,0.00005794458,0.00013972963,0.0000373539],"domain_scores_gemma":[0.9997255,0.000115967516,0.000043155484,0.000012213098,0.00008693976,0.00001617263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007408494,0.0006820393,0.0005618029,0.00024300082,0.0003636372,0.0009561609,0.0010845786,0.0003818286,0.0026282482],"category_scores_gemma":[0.00086630206,0.0003965818,0.00024273591,0.0002873068,0.00052727433,0.000713576,0.000941081,0.00079038285,0.00038322894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023979523,0.00010697483,0.00030090692,0.00018989439,0.00003140783,0.000050093407,0.000068025554,0.9109948,0.014839829,0.010356246,0.0014170477,0.06140493],"study_design_scores_gemma":[0.000010067695,0.000036456295,0.000035610832,0.000002439514,0.0000030171188,0.0000034283642,0.0000031615034,0.997421,0.0012943555,0.0007346322,0.00045294463,0.0000029303583],"about_ca_topic_score_codex":0.0023193106,"about_ca_topic_score_gemma":0.0021969334,"teacher_disagreement_score":0.0026282482,"about_ca_system_score_codex":0.00060301874,"about_ca_system_score_gemma":0.0006397945,"threshold_uncertainty_score":0.008792341},"labels":[],"label_agreement":null},{"id":"W4416798312","doi":"10.1109/tvt.2025.3638613","title":"Toward Reliable Wireless BMS: Robust Battery State Estimation Under Noise and Uncertainty","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"H2020 Marie Skłodowska-Curie Actions; HORIZON EUROPE Framework Programme; European Commission; Jaguar Land Rover","keywords":"Wireless; Kalman filter; Reliability (semiconductor); Noise (video); Battery (electricity); Transmission (telecommunications); Noise measurement; Network packet; Estimation theory; Noise reduction","score_opus":0.014094426778688947,"score_gpt":0.24768388871632613,"score_spread":0.2335894619376372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416798312","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017938195,0.00015171914,0.9804222,0.00014650909,0.000015479338,0.000020678432,0.000040684106,0.00048477534,0.0007798167],"genre_scores_gemma":[0.8326748,0.0004102209,0.16502859,0.00009754943,0.000042498006,0.00010214623,0.00017636482,0.00009587701,0.0013719846],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995956,0.0001029617,0.000020435029,0.000078539095,0.00017696425,0.000025562747],"domain_scores_gemma":[0.9993716,0.00026058592,0.00010565466,0.000093264374,0.00015483896,0.000014061811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006073172,0.00077696383,0.0004882947,0.00040319128,0.00023922567,0.00069484225,0.00071206316,0.0006769964,0.0006336119],"category_scores_gemma":[0.0029646577,0.00026450932,0.0002823241,0.00046653155,0.00047088767,0.0011964052,0.0007811263,0.0005536566,0.00044080772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019176878,0.00004795326,0.0024646977,0.00015979818,0.000052633815,0.0001166182,0.00012804095,0.78702366,0.04258723,0.008423214,0.0011983967,0.15760604],"study_design_scores_gemma":[0.000006960119,0.000042666972,0.00039573447,0.000011106383,0.0000066672774,0.000031676274,0.00001530614,0.98679084,0.008025597,0.0037896282,0.00087391125,0.000009985725],"about_ca_topic_score_codex":0.002022491,"about_ca_topic_score_gemma":0.0016919796,"teacher_disagreement_score":0.002022491,"about_ca_system_score_codex":0.00032537224,"about_ca_system_score_gemma":0.0005467007,"threshold_uncertainty_score":0.004021466},"labels":[],"label_agreement":null},{"id":"W4416837686","doi":"10.18280/jesa.581020","title":"Development and Experimental Validation of a Novel Electrical Model for Lead-Acid Batteries","year":2025,"lang":"","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Model validation; Process (computing); Mathematical model; Work (physics); Measure (data warehouse)","score_opus":0.038953601952070316,"score_gpt":0.30863755543666965,"score_spread":0.26968395348459934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416837686","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40767738,0.000646093,0.5648919,0.00075480615,0.0006636083,0.0009894839,0.0021283699,0.0044497233,0.017798655],"genre_scores_gemma":[0.9574844,0.00032302062,0.034165397,0.000048341328,0.000020591886,0.0004141327,0.0006658601,0.00012081386,0.0067575043],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995603,0.0000715724,0.000032855853,0.00006800123,0.00024016442,0.000026956728],"domain_scores_gemma":[0.99936265,0.0001496788,0.000043585027,0.00015384243,0.00027012784,0.000020167248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005531458,0.00070622686,0.0006693103,0.0004228056,0.00060367945,0.0010395958,0.0019325101,0.0010660401,0.0038856207],"category_scores_gemma":[0.0012787483,0.00029283488,0.00041872283,0.00039884166,0.0004000058,0.0013194953,0.0005924338,0.00062478404,0.0012873595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013971137,0.0009933584,0.0064013987,0.0019667372,0.0001444466,0.000771679,0.000784217,0.37278977,0.45906818,0.008341054,0.006271977,0.14107001],"study_design_scores_gemma":[0.0002318607,0.0011064811,0.002505402,0.00006296148,0.00008824661,0.00026191105,0.00015731883,0.7443353,0.22342753,0.0025761307,0.025189226,0.000057614492],"about_ca_topic_score_codex":0.0018677489,"about_ca_topic_score_gemma":0.002011256,"teacher_disagreement_score":0.0038856207,"about_ca_system_score_codex":0.0005391486,"about_ca_system_score_gemma":0.00072861364,"threshold_uncertainty_score":0.0129987},"labels":[],"label_agreement":null},{"id":"W4416917539","doi":"10.3390/machines13121114","title":"Evaluating Low Temperature’s Impact on Lithium-Ion Batteries: Examination of Performance Metrics with Respect to Size and Chemistry","year":2025,"lang":"en","type":"article","venue":"Machines","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Battery (electricity); Distortion (music); Resilience (materials science); Temperature measurement","score_opus":0.013748777338875875,"score_gpt":0.3141213114068531,"score_spread":0.30037253406797726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416917539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948009,0.0009244916,0.0026403235,0.0000681652,0.00003720753,0.000024311472,0.00020421778,0.00007751551,0.0012229381],"genre_scores_gemma":[0.9978676,0.00037963173,0.0009077055,0.00002166556,0.000010437907,0.000017286276,0.00017327152,0.000028521135,0.0005937766],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99968064,0.000031343327,0.000025932568,0.00004659101,0.00018062556,0.000034805118],"domain_scores_gemma":[0.99896765,0.0003742682,0.00013312371,0.00008199121,0.00039810507,0.00004483545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041637974,0.00032659018,0.0003847217,0.000316994,0.00027199613,0.0005470364,0.00039465952,0.00037101438,0.0012171749],"category_scores_gemma":[0.0021502238,0.00011407408,0.00022422175,0.00033788002,0.00038665364,0.0008181347,0.00035548912,0.00030195806,0.00044842632],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012230484,0.000116270116,0.013024717,0.00043799568,0.00004281673,0.00029253506,0.00018684482,0.006047122,0.9557246,0.00019434495,0.00023743295,0.02247223],"study_design_scores_gemma":[0.0000102218655,0.0016037887,0.025002392,0.00001935161,0.00006459937,0.0002810579,0.00022818793,0.0066939695,0.964741,0.00010572076,0.0012206613,0.00002893673],"about_ca_topic_score_codex":0.00068038807,"about_ca_topic_score_gemma":0.0011564784,"teacher_disagreement_score":0.0012171749,"about_ca_system_score_codex":0.00026993995,"about_ca_system_score_gemma":0.00017094988,"threshold_uncertainty_score":0.0040718913},"labels":[],"label_agreement":null},{"id":"W4416961217","doi":"10.1109/ecce58356.2025.11259750","title":"A Novel Technique for Simultaneous EIS Measurements in Solar-Battery Hybrid Systems Using a Boost Converter","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Hybrid system; Electrical impedance; Scheme (mathematics); Boost converter; Degradation (telecommunications); Dielectric spectroscopy; Converters","score_opus":0.05375643575537686,"score_gpt":0.311081246125831,"score_spread":0.2573248103704541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416961217","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24272601,0.00091983675,0.7442193,0.0003936765,0.00020801439,0.00020034007,0.00029896424,0.003115249,0.007918569],"genre_scores_gemma":[0.8802184,0.00027498466,0.11673501,0.0001156211,0.00003971198,0.000115760115,0.00006559217,0.00005624619,0.0023786356],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996903,0.00003208377,0.000013579852,0.00007566341,0.00016964482,0.000018707286],"domain_scores_gemma":[0.9997868,0.000061125866,0.00002332945,0.00004852931,0.000065132466,0.000015084389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030460893,0.00032395864,0.00041354314,0.00041445278,0.00023889767,0.00054438005,0.00070694945,0.00040285548,0.0014649455],"category_scores_gemma":[0.00041996283,0.00024568947,0.0001781432,0.0004631454,0.00023457175,0.00082189986,0.0005949005,0.0005703956,0.00051615865],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015973786,0.00006824411,0.0011778494,0.00019217707,0.00001938831,0.00015766469,0.00013216239,0.0014236975,0.8835709,0.0017320425,0.00058728893,0.11077877],"study_design_scores_gemma":[0.000032485652,0.0003841648,0.0027333526,0.00002164876,0.000029646584,0.00064078625,0.0000820247,0.06147163,0.92624444,0.0012111978,0.007102134,0.00004656383],"about_ca_topic_score_codex":0.00016195978,"about_ca_topic_score_gemma":0.0004012396,"teacher_disagreement_score":0.0014649455,"about_ca_system_score_codex":0.00016344414,"about_ca_system_score_gemma":0.00018989985,"threshold_uncertainty_score":0.004900694},"labels":[],"label_agreement":null},{"id":"W4416997147","doi":"10.20906/cba2024/4295","title":"Cálculo da capacidade total em células de íon de lítio via mínimos quadrados","year":2024,"lang":"","type":"article","venue":"Congresso Brasileiro de Automática","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Linear regression; Limit (mathematics); Sensitivity (control systems); Least-squares function approximation; Regression analysis; Partial least squares regression; Linear model","score_opus":0.018259154338810132,"score_gpt":0.29637633325887336,"score_spread":0.2781171789200632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416997147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8077161,0.0018470869,0.17217433,0.0001505407,0.000068734436,0.000101796264,0.0011546358,0.0033178958,0.013468874],"genre_scores_gemma":[0.9654345,0.0004816595,0.031352907,0.00001751686,0.000009190033,0.00006012598,0.0003259721,0.00012662925,0.0021915317],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959,0.00006660939,0.000025694293,0.000112740076,0.00015843516,0.00004649069],"domain_scores_gemma":[0.99882,0.0006639883,0.000099168414,0.000087920205,0.00030942276,0.000019391557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009995122,0.00076181535,0.0006556067,0.0014629546,0.00027963184,0.001191461,0.0006930379,0.00057487574,0.0028567677],"category_scores_gemma":[0.0031738714,0.00022271452,0.0005866597,0.0014699782,0.00030483847,0.00075317733,0.00043671954,0.0003582993,0.0007857587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001385252,0.00020289871,0.059409603,0.0018220448,0.00030669445,0.000549594,0.001874455,0.28502247,0.23509303,0.004384814,0.0017128849,0.40823615],"study_design_scores_gemma":[0.000041460902,0.0006242265,0.053537246,0.00017483813,0.0002098438,0.000472673,0.0010761311,0.71402717,0.21718861,0.0025946265,0.009919629,0.00013363708],"about_ca_topic_score_codex":0.0056480537,"about_ca_topic_score_gemma":0.007756039,"teacher_disagreement_score":0.0056480537,"about_ca_system_score_codex":0.00060975284,"about_ca_system_score_gemma":0.00033468226,"threshold_uncertainty_score":0.01123035},"labels":[],"label_agreement":null},{"id":"W4417013644","doi":"10.1016/j.mlwa.2025.100813","title":"Estimation of the remaining charge retention time of an electric vehicle battery","year":2025,"lang":"en","type":"article","venue":"Machine Learning with Applications","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Chicoutimi","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Electric vehicle; Electric-vehicle battery; Battery (electricity); Control theory (sociology); Charge (physics); Power (physics)","score_opus":0.005618311864821722,"score_gpt":0.24395908776491415,"score_spread":0.23834077590009242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417013644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8180475,0.001564086,0.17277381,0.00016915164,0.0000941064,0.000052588017,0.0014744364,0.0016123739,0.004211799],"genre_scores_gemma":[0.9917926,0.00018755942,0.0063532493,0.00001619634,0.000009762536,0.000017789678,0.00064308336,0.000028393955,0.00095124444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999889,0.000009075289,0.000007840269,0.0000317836,0.000043397726,0.00001884474],"domain_scores_gemma":[0.9996835,0.00010305819,0.000056491805,0.000024664125,0.00011772432,0.000014573374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002406736,0.00051902456,0.00036778583,0.00068556255,0.00015422876,0.00045375177,0.0005192638,0.0003291072,0.00072213716],"category_scores_gemma":[0.0014053555,0.00014465602,0.00034780987,0.0005066164,0.00010384768,0.0006851615,0.00023346662,0.00032710494,0.00043745074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060970243,0.00014818157,0.058724847,0.00037286643,0.00014380972,0.00047186704,0.00014800517,0.6210431,0.026231315,0.0008775814,0.0028195123,0.28840923],"study_design_scores_gemma":[0.000004905611,0.000105809675,0.015646879,0.000020644158,0.000028985769,0.0001489666,0.000045784556,0.9710227,0.011440896,0.0005929454,0.00091969734,0.000021825881],"about_ca_topic_score_codex":0.0064328737,"about_ca_topic_score_gemma":0.0058793486,"teacher_disagreement_score":0.0064328737,"about_ca_system_score_codex":0.0003224396,"about_ca_system_score_gemma":0.00037340526,"threshold_uncertainty_score":0.012790859},"labels":[],"label_agreement":null},{"id":"W4417114338","doi":"10.3390/batteries11120449","title":"A Hybrid End-to-End Dual Path Convolutional Residual LSTM Model for Battery SOH Estimation","year":2025,"lang":"en","type":"article","venue":"Batteries","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; McMaster University Medical Centre","funders":"","keywords":"Residual; Convolutional neural network; Battery (electricity); Benchmark (surveying); Deep learning; Preprocessor; Software deployment; Feature (linguistics); Tripping; Edge device","score_opus":0.02008046345770895,"score_gpt":0.2795733382770667,"score_spread":0.25949287481935773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417114338","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08931993,0.00111062,0.89728296,0.0003983256,0.0001925858,0.00005691072,0.0008545764,0.0056414767,0.0051426003],"genre_scores_gemma":[0.89331436,0.00043296444,0.0910058,0.0002743871,0.000052054256,0.00012096631,0.0016380098,0.00016904355,0.012992322],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999232,0.000006624879,0.0000039244073,0.0000281572,0.000021363541,0.000016708591],"domain_scores_gemma":[0.9999292,0.000014830067,0.000007103414,0.000008805683,0.00003562403,0.0000043732325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014936409,0.00064710283,0.00035809304,0.00023894188,0.00012748099,0.0003068972,0.0010901713,0.0004607135,0.0016333456],"category_scores_gemma":[0.00041635992,0.0002567894,0.00038886804,0.00025582098,0.00017123144,0.00059569255,0.0004043726,0.0006509632,0.00066101516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019444343,0.00010566484,0.0013856076,0.00011372609,0.00009009731,0.00013814532,0.00005173617,0.7244649,0.023044508,0.002283777,0.0057542147,0.2423732],"study_design_scores_gemma":[0.0000028981617,0.00001880971,0.00017138975,0.000003285457,0.000007658371,0.000014713322,0.0000031649945,0.9965456,0.0022429128,0.0004909027,0.00049522286,0.0000034700186],"about_ca_topic_score_codex":0.008598353,"about_ca_topic_score_gemma":0.017189512,"teacher_disagreement_score":0.008598353,"about_ca_system_score_codex":0.0003933327,"about_ca_system_score_gemma":0.0007630108,"threshold_uncertainty_score":0.017096639},"labels":[],"label_agreement":null},{"id":"W4417270830","doi":"10.53555/1b8yp156","title":"Advancements in Renewable Energy Storage Solutions: A Focus on Lithium-Ion Batteries","year":2023,"lang":"","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Renewable energy; Energy storage; Sustainability; Battery (electricity); Resource (disambiguation); Energy engineering; Emerging technologies","score_opus":0.1532949128303061,"score_gpt":0.30858285271660785,"score_spread":0.15528793988630174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417270830","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010823257,0.89051986,0.0072606034,0.022835758,0.0016787482,0.000039160695,0.00018736388,0.00014024934,0.066514984],"genre_scores_gemma":[0.056528088,0.91398406,0.0051401667,0.0029714368,0.0012614066,0.000023842353,0.0001474951,0.00003805694,0.019905409],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99944264,0.00009422071,0.00004356379,0.00008622324,0.00027533504,0.00005794532],"domain_scores_gemma":[0.99926347,0.00021868294,0.00007556327,0.000033504402,0.00034671504,0.00006199775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010623803,0.0004472822,0.0004646068,0.0016458835,0.0005591034,0.0025487307,0.00045070553,0.0011534782,0.0059054904],"category_scores_gemma":[0.001046002,0.00016232974,0.00032474718,0.0030813592,0.0006996948,0.0052992045,0.0013087896,0.0014319652,0.0023414677],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008989949,0.000117068805,0.0025942314,0.0052641844,0.000028505237,0.00024393045,0.0005066226,0.0009894331,0.007947184,0.124746755,0.027597528,0.82987475],"study_design_scores_gemma":[0.000004136221,0.00013945594,0.0021436156,0.0022265464,0.000024797357,0.0006021507,0.00090634014,0.00067862804,0.0031905533,0.020054517,0.96999806,0.000031259206],"about_ca_topic_score_codex":0.0012247412,"about_ca_topic_score_gemma":0.0024651377,"teacher_disagreement_score":0.0059054904,"about_ca_system_score_codex":0.0011437202,"about_ca_system_score_gemma":0.0018969715,"threshold_uncertainty_score":0.01975578},"labels":[],"label_agreement":null},{"id":"W4417403210","doi":"10.1109/iccia69223.2025.11285961","title":"Robust State-of-Health Estimation in Second-Life Li-Ion Batteries Using Ensemble Learning and Noise-Injected Training","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Robustness (evolution); Reuse; Ensemble learning; Random forest; Calibration; Reliability (semiconductor); Noise (video); Mean squared error; Training (meteorology)","score_opus":0.050956306478069494,"score_gpt":0.31890235614890894,"score_spread":0.26794604967083946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417403210","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10537292,0.00047953828,0.8893558,0.00024354091,0.00004948291,0.000027174507,0.00014768107,0.0021237256,0.0022001658],"genre_scores_gemma":[0.93877804,0.00015621228,0.058902718,0.00008723725,0.00003132264,0.0000533381,0.0003945155,0.00009176539,0.0015048131],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980336,0.000050714545,0.000011721238,0.000059278704,0.00004465196,0.000030289653],"domain_scores_gemma":[0.9994466,0.0003102278,0.00005141065,0.0000718719,0.000099387464,0.000020456493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007335491,0.00085315993,0.0007841438,0.00029216227,0.00031149184,0.00047739473,0.0008658531,0.00070676213,0.00092685135],"category_scores_gemma":[0.0022790625,0.00028715262,0.0005618556,0.00033798604,0.0002626011,0.0007918084,0.00054917287,0.0008700022,0.00033368572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010752984,0.00004287382,0.0018051441,0.00003416609,0.000037967548,0.000032425756,0.0000412426,0.9384711,0.002257856,0.0008214948,0.0006904903,0.05565769],"study_design_scores_gemma":[0.0000014219657,0.0000071616773,0.00018147493,0.0000018874852,0.0000026609632,0.000004551992,0.000002291987,0.9987155,0.0006556957,0.00035025072,0.00007461963,0.000002530549],"about_ca_topic_score_codex":0.009069536,"about_ca_topic_score_gemma":0.008400151,"teacher_disagreement_score":0.009069536,"about_ca_system_score_codex":0.00046859754,"about_ca_system_score_gemma":0.0006595882,"threshold_uncertainty_score":0.018033504},"labels":[],"label_agreement":null},{"id":"W4417439230","doi":"10.1109/tim.2025.3644548","title":"Two-Stage Least Squares for Equivalent-Circuit Model Parameter Estimation of Li-Ion Batteries Using Pulse-Relaxation Excitation","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Office of Naval Research; U.S. Naval Research Laboratory; Natural Sciences and Engineering Research Council of Canada","keywords":"Estimation theory; Voltage; Control theory (sociology); Equivalent circuit; Battery (electricity); Least-squares function approximation; Monte Carlo method; Time constant; Constant (computer programming)","score_opus":0.0999399124960938,"score_gpt":0.33467690255105925,"score_spread":0.23473699005496546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417439230","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0050031506,0.00005295408,0.9940698,0.000028958804,0.000005723482,0.000014388887,0.000016921591,0.0004186906,0.00038940375],"genre_scores_gemma":[0.42995533,0.00029052838,0.5641892,0.00016190384,0.00003163492,0.00022703767,0.0003229491,0.00032509782,0.0044962442],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996451,0.00011311106,0.000016405544,0.00007466716,0.00012910606,0.000021556272],"domain_scores_gemma":[0.9993436,0.00040039775,0.000069492955,0.000072819166,0.000101345955,0.000012327956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005758843,0.0009878159,0.00050767744,0.00029842783,0.00025796238,0.00054295186,0.00093921024,0.00073088706,0.0013174729],"category_scores_gemma":[0.0025113954,0.0004968894,0.00052586896,0.0003891718,0.000378225,0.0010288449,0.00069453614,0.0012881414,0.0008071347],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021227455,0.00008300037,0.0010689222,0.0003111946,0.00009088066,0.00009106753,0.00022853407,0.7195399,0.05017344,0.006534377,0.0011497115,0.22051671],"study_design_scores_gemma":[0.000005630323,0.0000352858,0.00016521043,0.000006823765,0.0000066764005,0.00002469113,0.000011297935,0.98933756,0.008759194,0.001060936,0.0005751277,0.000011631684],"about_ca_topic_score_codex":0.002036174,"about_ca_topic_score_gemma":0.0029184946,"teacher_disagreement_score":0.002036174,"about_ca_system_score_codex":0.00033685612,"about_ca_system_score_gemma":0.00069455,"threshold_uncertainty_score":0.004407406},"labels":[],"label_agreement":null},{"id":"W4417476091","doi":"10.1149/1945-7111/ae2f2d","title":"Cell Chemistry Considerations for Long-Lived Li-Ion Cells at High Temperatures","year":2025,"lang":"","type":"article","venue":"Journal of The Electrochemical Society","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Ethylene carbonate; Electrolyte; Diethyl carbonate; Dimethyl carbonate; Solvent; Carbonate; Electrode","score_opus":0.008420165306203244,"score_gpt":0.25216706274484346,"score_spread":0.24374689743864023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417476091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79694635,0.036264475,0.14604622,0.004237962,0.0010170579,0.00029934288,0.0009244168,0.00077256747,0.01349163],"genre_scores_gemma":[0.9298583,0.008940295,0.051475246,0.000459371,0.00022296609,0.00020079478,0.00059502095,0.00016653919,0.008081422],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99965405,0.000044866774,0.000028683176,0.00006527853,0.00016751127,0.000039532908],"domain_scores_gemma":[0.9995565,0.00013882904,0.000043853506,0.000033429893,0.00019361313,0.000033738776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070144207,0.0003138689,0.00059288734,0.00016397642,0.00046438168,0.0012450491,0.0010543137,0.0006965436,0.0023977344],"category_scores_gemma":[0.00084403175,0.00020459857,0.00034671737,0.00018471957,0.00022154626,0.0017315355,0.00036716682,0.0008976643,0.0011501356],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021293464,0.00004130206,0.0008592096,0.0006302141,0.000023507544,0.0002702681,0.00007370195,0.0025612637,0.979627,0.0027511914,0.00046996417,0.012479502],"study_design_scores_gemma":[0.00002656982,0.0004891853,0.0015377234,0.00005090905,0.00005717355,0.0006573661,0.00019643414,0.008585874,0.959812,0.0015994484,0.026955258,0.000032075674],"about_ca_topic_score_codex":0.000504663,"about_ca_topic_score_gemma":0.0013098763,"teacher_disagreement_score":0.0023977344,"about_ca_system_score_codex":0.0005421878,"about_ca_system_score_gemma":0.00044013507,"threshold_uncertainty_score":0.0080212355},"labels":[],"label_agreement":null},{"id":"W4417499257","doi":"10.3390/wevj17010002","title":"Physics-Informed Temperature Prediction of Lithium-Ion Batteries Using Decomposition-Enhanced LSTM and BiLSTM Models","year":2025,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Waterloo; Institut National de la Recherche Scientifique","funders":"European Commission; Center of Excellence for Learning in Education, Science and Technology","keywords":"Residual; Thermal; Deep learning; Hierarchy; Artificial neural network; Scheme (mathematics); ENCODE","score_opus":0.01235273342144618,"score_gpt":0.2694493450955025,"score_spread":0.25709661167405634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417499257","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31677213,0.001314168,0.67080927,0.0005125808,0.00017206055,0.000034670433,0.00036872554,0.0032092137,0.0068072043],"genre_scores_gemma":[0.9801158,0.00021663304,0.017678192,0.00005257535,0.000016951659,0.000030119445,0.00022480408,0.000049751667,0.001615147],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999465,0.000008044682,0.0000032759876,0.00001693597,0.00001610085,0.000009195834],"domain_scores_gemma":[0.99990535,0.000029352474,0.000013411949,0.000008224913,0.000036534653,0.0000069537555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020644827,0.00054550666,0.00028365094,0.00022826019,0.0001556773,0.00041925703,0.00066839653,0.0003787731,0.0011008537],"category_scores_gemma":[0.0006300176,0.00023364856,0.00038361037,0.00022577663,0.00020759451,0.0007943594,0.00039439622,0.00072906126,0.00038495756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008863634,0.000054663487,0.0016263726,0.00008888427,0.0000340784,0.0000689655,0.00004361105,0.91716456,0.015797785,0.0018637376,0.0010262375,0.062142443],"study_design_scores_gemma":[7.41859e-7,0.000005149591,0.00008630298,0.000001695071,0.0000016478651,0.0000027862104,0.0000014055312,0.9984321,0.00100033,0.00039032465,0.000076110926,0.000001409542],"about_ca_topic_score_codex":0.0051119733,"about_ca_topic_score_gemma":0.0075257984,"teacher_disagreement_score":0.0051119733,"about_ca_system_score_codex":0.0004935791,"about_ca_system_score_gemma":0.00070658134,"threshold_uncertainty_score":0.01016444},"labels":[],"label_agreement":null},{"id":"W4417510272","doi":"10.1109/icrera66237.2025.11283785","title":"An SOC-Based Charging Scheme for A Li-ion Battery Stack","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Stack (abstract data type); Battery (electricity); State of charge; Trickle charging; Equalization (audio); Scheme (mathematics); Set (abstract data type)","score_opus":0.025262005036509185,"score_gpt":0.32678965712958835,"score_spread":0.3015276520930792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417510272","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060873322,0.0007029212,0.9066961,0.00030414495,0.00027357397,0.00021492511,0.00015643486,0.0019100348,0.02886859],"genre_scores_gemma":[0.9215646,0.00040832406,0.06902656,0.000095579286,0.000049845316,0.00007366281,0.00014225728,0.00006085931,0.008578304],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99988544,0.000016097118,0.000011430003,0.000017147016,0.0000481441,0.000021760923],"domain_scores_gemma":[0.999899,0.000008389322,0.000007133783,0.000014460791,0.000061545434,0.000009487879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016280857,0.00034817864,0.00018381156,0.00043733107,0.00055182294,0.0006464133,0.0006494726,0.00028392722,0.0027049799],"category_scores_gemma":[0.00036452507,0.000096467746,0.00019923497,0.0004545321,0.00021050197,0.00080217724,0.00042904384,0.00027716023,0.0007312584],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004788709,0.00016023891,0.0017442788,0.00042331745,0.00005305533,0.00046089184,0.0003367182,0.1440245,0.1599841,0.06909322,0.008849432,0.6143913],"study_design_scores_gemma":[0.00004358002,0.00044686286,0.0011705998,0.000040612063,0.000052022737,0.0007233678,0.0001254361,0.87721986,0.069627255,0.01493956,0.035552684,0.000058197507],"about_ca_topic_score_codex":0.0011558348,"about_ca_topic_score_gemma":0.0018773236,"teacher_disagreement_score":0.0027049799,"about_ca_system_score_codex":0.0004336075,"about_ca_system_score_gemma":0.00039019357,"threshold_uncertainty_score":0.009049058},"labels":[],"label_agreement":null},{"id":"W4417529702","doi":"10.1016/j.ijheatfluidflow.2025.110179","title":"Comparative analysis of passive thermal management of lithium-ion batteries in diverse climatic conditions","year":2025,"lang":"en","type":"article","venue":"International Journal of Heat and Fluid Flow","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Multiphysics; Battery (electricity); Thermal; Phase-change material; Operating temperature; Thermoelectric cooling; Thermal energy storage; TRNSYS","score_opus":0.016442445270201268,"score_gpt":0.31281007593935667,"score_spread":0.2963676306691554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417529702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99352384,0.00031797637,0.0035968253,0.000026400603,0.00001179973,0.000011997338,0.00018924075,0.00006507838,0.0022567832],"genre_scores_gemma":[0.99905056,0.000084486746,0.00025571787,0.000003309607,0.0000035571773,0.00000657835,0.00012047469,0.000009958774,0.0004652567],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998958,0.000019173533,0.0000060551697,0.000022384427,0.0000391371,0.000017491513],"domain_scores_gemma":[0.99972814,0.00010215421,0.000025483545,0.000015769012,0.00011763329,0.000010785318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024432898,0.00024262209,0.00046695044,0.00038418363,0.00029947012,0.0005629685,0.00033581562,0.0002473392,0.0013462526],"category_scores_gemma":[0.0004486576,0.00009003537,0.0003235765,0.00039352063,0.00015859734,0.00055135397,0.00016530784,0.00010580201,0.00022408024],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0050000967,0.00053647143,0.0525125,0.0010123999,0.00024763015,0.0005584542,0.00051373424,0.12406862,0.68997824,0.001441694,0.0012478499,0.122882195],"study_design_scores_gemma":[0.00008484712,0.0037092988,0.20175336,0.000045273846,0.00048865925,0.0004761487,0.0012523403,0.30538702,0.47931042,0.0013108078,0.0060921204,0.00008980626],"about_ca_topic_score_codex":0.0009156473,"about_ca_topic_score_gemma":0.0016119765,"teacher_disagreement_score":0.0013462526,"about_ca_system_score_codex":0.0002561688,"about_ca_system_score_gemma":0.00014726822,"threshold_uncertainty_score":0.0045036674},"labels":[],"label_agreement":null},{"id":"W57325279","doi":"10.1007/978-3-642-33741-3_8","title":"A Lithium-Ion Battery Fractional Order State Space Model and its Time Domain System Identification","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in electrical engineering","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Equivalent circuit; State-space representation; Battery (electricity); State of charge; Fractional calculus; Time domain; State space; Lithium-ion battery; Domain (mathematical analysis); Frequency domain; Computer science; Algorithm; Power (physics); Mathematics; Applied mathematics; Electrical engineering; Engineering; Voltage; Physics; Statistics; Mathematical analysis","score_opus":0.0082342993462821,"score_gpt":0.2176630610772527,"score_spread":0.20942876173097058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W57325279","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0527409,0.0016901077,0.91419715,0.00070388085,0.00023964059,0.00008586718,0.00035095788,0.00067672454,0.029314768],"genre_scores_gemma":[0.95401424,0.0012643618,0.021827793,0.00012544691,0.0000642863,0.00013551167,0.00027450683,0.00004118649,0.022252657],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999058,0.00002172651,0.0000058905184,0.000023694729,0.000032557826,0.000010396802],"domain_scores_gemma":[0.9998791,0.00005059274,0.000019650892,0.000016225606,0.000030561194,0.00000385962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020137247,0.0004111626,0.00068761094,0.00026716577,0.000539081,0.0010949726,0.0006200006,0.0010641093,0.0024780063],"category_scores_gemma":[0.00053195615,0.00020324085,0.00063153927,0.00054031407,0.0004455362,0.0008830716,0.00045847782,0.0008322884,0.0004907367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011359258,0.00006759913,0.00059899193,0.00027724233,0.00004556962,0.00024810425,0.0002483914,0.89523154,0.010775642,0.04926448,0.0018368632,0.041291956],"study_design_scores_gemma":[0.0000055451455,0.00003645789,0.00019007872,0.000011853144,0.000015590222,0.000060410894,0.000021312944,0.9898392,0.0011720936,0.0068084253,0.0018275492,0.000011555015],"about_ca_topic_score_codex":0.004446511,"about_ca_topic_score_gemma":0.0028971033,"teacher_disagreement_score":0.004446511,"about_ca_system_score_codex":0.000493926,"about_ca_system_score_gemma":0.00049856654,"threshold_uncertainty_score":0.008841276},"labels":[],"label_agreement":null},{"id":"W58605961","doi":"","title":"Computational Simulation of Lithium Ion Transport through Polymer Nanocomposite Membranes","year":2003,"lang":"en","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Membrane; Lithium (medication); Anode; Materials science; Ionic conductivity; Nanocomposite; Conductivity; Ion; Cathode; Ion transporter; Conductor; Ionic bonding; Polymer; Chemical engineering; Nanotechnology; Chemistry; Composite material; Electrode; Electrolyte; Physical chemistry; Organic chemistry; Engineering","score_opus":0.016788593004267556,"score_gpt":0.27690195344713253,"score_spread":0.260113360442865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W58605961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9731847,0.00016367367,0.0095633995,0.00065139204,0.00004760473,0.000072399875,0.0009711998,0.00019571677,0.015149869],"genre_scores_gemma":[0.9886608,0.00010133383,0.0073422412,0.0000996257,0.000013420795,0.00018387129,0.0006991355,0.00004450339,0.0028549968],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983776,0.000038867434,0.000008320778,0.000022111555,0.000042210042,0.00005070178],"domain_scores_gemma":[0.9986596,0.00096775714,0.000082784194,0.00005403371,0.00013728451,0.000098594835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004279954,0.0005537613,0.0009632632,0.000606909,0.0009742935,0.0010318471,0.0011494046,0.0019286658,0.0034478353],"category_scores_gemma":[0.0024386633,0.0006442929,0.0007988491,0.0008059143,0.0011031344,0.0006018927,0.00079757086,0.0011166545,0.00021191081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011246626,0.0000675704,0.001129318,0.000028486029,0.000023862558,0.00007633034,0.00003693858,0.99532664,0.0004935256,0.0016783102,0.00023618822,0.0007903197],"study_design_scores_gemma":[0.000027198064,0.000018218432,0.00022547267,0.0000035932046,0.0000042991087,0.0000047726326,0.00002138921,0.9990074,0.00020379202,0.00033398866,0.0001459112,0.0000039527067],"about_ca_topic_score_codex":0.033416998,"about_ca_topic_score_gemma":0.016111573,"teacher_disagreement_score":0.033416998,"about_ca_system_score_codex":0.0017109424,"about_ca_system_score_gemma":0.0021101728,"threshold_uncertainty_score":0.06644493},"labels":[],"label_agreement":null},{"id":"W6892678494","doi":"10.5281/zenodo.11938037","title":"Psychologia notatki pdf","year":2024,"lang":"pl","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Download; Call for bids","score_opus":0.030947127863936788,"score_gpt":0.2698874315701,"score_spread":0.2389403037061632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6892678494","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00041106303,0.0015041439,0.0006835032,0.007769267,0.00484083,0.00021362204,0.012791777,0.0047218516,0.9670639],"genre_scores_gemma":[0.0022829939,0.0013023673,0.0006729378,0.0019487595,0.0006991942,0.00012225819,0.0046461322,0.001622737,0.9867027],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984207,0.00017062588,0.00012582951,0.00023777624,0.000803618,0.00024141496],"domain_scores_gemma":[0.99330986,0.000683596,0.00029100676,0.0011021186,0.0031542955,0.0014591588],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011921262,0.0010757421,0.0010049002,0.002429098,0.0017670813,0.0068143248,0.0016224989,0.0020493125,0.9119287],"category_scores_gemma":[0.008593323,0.00065854425,0.0007543277,0.002755453,0.0011568173,0.0042276513,0.0034244694,0.0027337137,0.89790016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029455909,0.0000318669,0.000068580826,0.00017477274,0.000002682481,0.0000390909,0.000030388679,0.000011988909,0.0001441807,0.0010614003,0.9661244,0.03228121],"study_design_scores_gemma":[0.000009322567,0.000008202318,0.0005546191,0.00008524951,0.0000016234527,0.0000683321,0.00005602189,0.000014351255,0.000118622775,0.0004866368,0.9985917,0.000005302769],"about_ca_topic_score_codex":0.006601907,"about_ca_topic_score_gemma":0.013207929,"teacher_disagreement_score":0.08807129,"about_ca_system_score_codex":0.0040145465,"about_ca_system_score_gemma":0.0048996857,"threshold_uncertainty_score":0.12562299},"labels":[],"label_agreement":null},{"id":"W6892738183","doi":"10.5281/zenodo.11440091","title":"What Makes Essential Keto Gummies Canada Different from Other Supplements?","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Limiting; Work (physics); Filter (signal processing); Field (mathematics)","score_opus":0.016536392698653212,"score_gpt":0.23372763716665906,"score_spread":0.21719124446800586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6892738183","genre_codex":"review","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010756451,0.3621073,0.0010111983,0.2721732,0.033842374,0.00025652736,0.00417865,0.0006999327,0.31497437],"genre_scores_gemma":[0.061800532,0.40626544,0.007170139,0.14216757,0.011546992,0.00035226645,0.0034850975,0.0006782438,0.36653367],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99848217,0.0001621531,0.00013568104,0.00016332205,0.00087159313,0.00018505825],"domain_scores_gemma":[0.9960102,0.0004594409,0.00031700623,0.00009004278,0.0019783115,0.0011449358],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015727519,0.0003443975,0.0008316899,0.0015108767,0.0022798227,0.005450133,0.0009371659,0.003688107,0.09110827],"category_scores_gemma":[0.00807536,0.00027108093,0.0006126565,0.001594577,0.0017399739,0.002925786,0.00091390987,0.0024311868,0.021667995],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060457684,0.00023282655,0.0010541861,0.0033922682,0.00004176261,0.0002539277,0.00039210467,0.00003759863,0.0014178929,0.0072694323,0.5592295,0.426074],"study_design_scores_gemma":[0.000064918604,0.000055189423,0.0014362162,0.0017994972,0.0000443646,0.00018611373,0.0005746979,0.000014297575,0.00043723406,0.00097168225,0.99438703,0.000028834698],"about_ca_topic_score_codex":0.23132707,"about_ca_topic_score_gemma":0.46664664,"teacher_disagreement_score":0.90889174,"about_ca_system_score_codex":0.0066712564,"about_ca_system_score_gemma":0.018743629,"threshold_uncertainty_score":0.45996118},"labels":[],"label_agreement":null},{"id":"W6893670887","doi":"10.5281/zenodo.4585707","title":"Survey of Canadian and International Data Management Initiatives","year":2008,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Association of Research Libraries","funders":"","keywords":"Data management; Work (physics); Data quality; Government (linguistics)","score_opus":0.11293542513841152,"score_gpt":0.27608102452284283,"score_spread":0.1631455993844313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6893670887","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"reproducibility","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"reproducibility","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20838052,0.089646064,0.004265828,0.10052195,0.0013472921,0.0008490788,0.047218632,0.0013708228,0.54639983],"genre_scores_gemma":[0.756466,0.09851855,0.015652657,0.014315321,0.00042141808,0.0005415955,0.034298398,0.00078776357,0.07899827],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.96563476,0.003130493,0.0020169679,0.0024274637,0.02075534,0.006034874],"domain_scores_gemma":[0.85524404,0.013807314,0.0081848,0.0043851524,0.09432282,0.024055904],"candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.02869738,0.0006532254,0.0006031345,0.029907668,0.012159043,0.014050786,0.0038352334,0.0010370945,0.010554119],"category_scores_gemma":[0.045749642,0.00060719275,0.0007714836,0.0948753,0.003951057,0.0035168051,0.006475897,0.0021071364,0.0010705711],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040331876,0.00018599084,0.16580467,0.003536145,0.00022250149,0.00065873296,0.024927717,0.000727047,0.0015745725,0.12632917,0.25022987,0.4254003],"study_design_scores_gemma":[0.000014753691,0.000031984007,0.12186418,0.0012017188,0.000073626274,0.00018627367,0.016691579,0.00016223622,0.000612592,0.00054611417,0.8585396,0.00007533842],"about_ca_topic_score_codex":0.97592443,"about_ca_topic_score_gemma":0.97150326,"teacher_disagreement_score":0.99616474,"about_ca_system_score_codex":0.13135369,"about_ca_system_score_gemma":0.3022933,"threshold_uncertainty_score":0.9530422},"labels":[],"label_agreement":null},{"id":"W6893819311","doi":"10.5281/zenodo.5008416","title":"JuliaDiff/ChainRulesCore.jl: v0.10.8","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Invenia (Canada)","funders":"","keywords":"Syntax; Class (philosophy); Process (computing); Frame (networking)","score_opus":0.028316884290900807,"score_gpt":0.24022395358152226,"score_spread":0.21190706929062145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6893819311","genre_codex":"software","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":"software","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00071063876,0.00019633757,0.033436615,0.00041920014,0.0008364022,0.00016562508,0.026982276,0.87467617,0.06257683],"genre_scores_gemma":[0.0073119993,0.00024748017,0.013832031,0.0006608509,0.00024682115,0.00022388056,0.06506048,0.8297981,0.082618386],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963086,0.00034659228,0.0003067172,0.00085792807,0.0015335174,0.0006466693],"domain_scores_gemma":[0.99314696,0.0013746613,0.0002176524,0.0024172612,0.0022361013,0.0006073726],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003254084,0.0049062786,0.0021426813,0.0034022746,0.0016630872,0.009099244,0.008458311,0.005555454,0.63061774],"category_scores_gemma":[0.016697537,0.005279298,0.0031359447,0.0022699223,0.0011738926,0.0092309145,0.0068585337,0.0055934517,0.6793234],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002051623,0.00004261837,0.00063700404,0.00030537855,0.000028209293,0.00008005681,0.00007227621,0.0003515263,0.0011251416,0.00386284,0.97192645,0.021363255],"study_design_scores_gemma":[0.00021948038,0.000036998586,0.00089685497,0.00017423616,0.000020980035,0.0002336539,0.000051201165,0.00492063,0.011345942,0.008777888,0.97316134,0.00016084456],"about_ca_topic_score_codex":0.008637316,"about_ca_topic_score_gemma":0.0072559183,"teacher_disagreement_score":0.63061774,"about_ca_system_score_codex":0.0032834106,"about_ca_system_score_gemma":0.0022047383,"threshold_uncertainty_score":0.52687895},"labels":[],"label_agreement":null},{"id":"W6894175242","doi":"10.5281/zenodo.7492757","title":"Proto-Quipper with Dynamic Lifting","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Semantics (computer science); Syntax; Operational semantics; Construct (python library); Dynamic programming; Categorical variable; Type (biology)","score_opus":0.014016309989264793,"score_gpt":0.22653725319660842,"score_spread":0.21252094320734363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6894175242","genre_codex":"methods","genre_gemma":"software","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"software","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008872867,0.00017137625,0.95784265,0.00060288724,0.00018478275,0.000085608444,0.0004185807,0.014183777,0.01763737],"genre_scores_gemma":[0.37516922,0.00051497703,0.57206917,0.0016619273,0.00025724788,0.0005905534,0.0011715856,0.0071501476,0.0414152],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99848133,0.00037862742,0.00010196767,0.00033212028,0.00048233804,0.00022364926],"domain_scores_gemma":[0.99881834,0.00045613086,0.00010430276,0.00033028572,0.00020442688,0.00008644776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020547337,0.000568454,0.00047013332,0.00080076966,0.0009177449,0.001873331,0.0015521004,0.0010414087,0.010390137],"category_scores_gemma":[0.0026179848,0.00066800776,0.0013650125,0.0006662587,0.0028222222,0.0051294076,0.0034085049,0.002717711,0.0024775844],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001318204,0.000040272407,0.00030705275,0.00017044874,0.000016710215,0.00018513562,0.00051242195,0.0025084815,0.0060457345,0.94798493,0.008441291,0.03365571],"study_design_scores_gemma":[0.00007181053,0.00013966726,0.00053545757,0.00013395556,0.00004870714,0.00071879284,0.00014123533,0.058929693,0.025660533,0.66059715,0.25290143,0.00012154272],"about_ca_topic_score_codex":0.0011736439,"about_ca_topic_score_gemma":0.0010630251,"teacher_disagreement_score":0.010390137,"about_ca_system_score_codex":0.0010220513,"about_ca_system_score_gemma":0.0013741244,"threshold_uncertainty_score":0.03475845},"labels":[],"label_agreement":null},{"id":"W6910521426","doi":"10.4224/40002074","title":"Méthode d'initiation d'emballement thermique (TRIM) : une solution technologique de pointe pour améliorer la sécurité des blocs de batteries","year":2020,"lang":"fr","type":"article","venue":"NPARC","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Occupational training; Economic analysis; Thermal runaway","score_opus":0.03554089722342902,"score_gpt":0.2793501221097455,"score_spread":0.2438092248863165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6910521426","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.079227835,0.006823541,0.8919816,0.0004014167,0.00082068273,0.0020919049,0.00079292565,0.003985034,0.013875046],"genre_scores_gemma":[0.3414684,0.0063009383,0.5952646,0.0003801561,0.00012073221,0.0033688832,0.0011518499,0.0009493744,0.050995093],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99730104,0.00024672467,0.00014187135,0.0005095274,0.001652511,0.0001483281],"domain_scores_gemma":[0.9981244,0.0004368392,0.0002688354,0.00032928912,0.00078016846,0.00006044445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002033004,0.00114013,0.0011826656,0.00112472,0.000820211,0.0013654975,0.0018986254,0.0012732277,0.005818564],"category_scores_gemma":[0.0024164806,0.00082340767,0.0009547099,0.0008865703,0.0008442493,0.0013630386,0.001306516,0.0025500646,0.0029954223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049122586,0.00017638477,0.001547671,0.002513339,0.00007483972,0.0003445602,0.00089852867,0.005798591,0.8322219,0.0050782054,0.0029734108,0.1478815],"study_design_scores_gemma":[0.00006494101,0.00073723623,0.0019768488,0.00014788605,0.000049535385,0.00027002842,0.0001528767,0.008410802,0.9436751,0.00077140954,0.043664955,0.000078415964],"about_ca_topic_score_codex":0.0013007425,"about_ca_topic_score_gemma":0.0025083655,"teacher_disagreement_score":0.005818564,"about_ca_system_score_codex":0.0007778918,"about_ca_system_score_gemma":0.001766226,"threshold_uncertainty_score":0.019465089},"labels":[],"label_agreement":null},{"id":"W6928955412","doi":"10.3897/zookeys.332.4753.figure5","title":"Figure 5 from: Barney R, LeSage L, Savard K (2013) Pachybrachis (Coleoptera, Chrysomelidae, Cryptocephalinae) of Eastern Canada. ZooKeys 332: 95-176. https://doi.org/10.3897/zookeys.332.4753","year":2013,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Front (military); Front cover; Window (computing)","score_opus":0.01858315436261898,"score_gpt":0.21512802552464758,"score_spread":0.1965448711620286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6928955412","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001062359,0.0008845405,0.0006390838,0.00068630313,0.00086082885,0.00013478978,0.031862132,0.0021971306,0.9616728],"genre_scores_gemma":[0.0048197745,0.0007520599,0.00087047747,0.000359054,0.000090882255,0.000043479795,0.012393124,0.000840677,0.9798306],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99981624,0.000010894332,0.0000071322875,0.000026199852,0.00009402816,0.00004552372],"domain_scores_gemma":[0.99937123,0.0001002829,0.000031877364,0.00007242309,0.00026925642,0.00015492782],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001927605,0.0011555039,0.00074404775,0.0013223441,0.001960826,0.0016902505,0.0011682299,0.0011475798,0.8962205],"category_scores_gemma":[0.0011356783,0.00039477673,0.00042025218,0.0016644353,0.00072302896,0.0021248055,0.0017307791,0.0014630397,0.74290866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021167747,0.000016132684,0.00025307827,0.00013265015,0.0000027243098,0.00008761695,0.00010662297,0.000023466651,0.0001320817,0.00044279883,0.97883165,0.019949922],"study_design_scores_gemma":[0.0000054902075,0.0000051903658,0.0015400915,0.00010029506,0.0000022648208,0.0001758874,0.00008867187,0.000019976998,0.00010520048,0.0001888053,0.9977639,0.0000041851426],"about_ca_topic_score_codex":0.08396666,"about_ca_topic_score_gemma":0.2830744,"teacher_disagreement_score":0.9160333,"about_ca_system_score_codex":0.0013400894,"about_ca_system_score_gemma":0.0019218974,"threshold_uncertainty_score":0.16695589},"labels":[],"label_agreement":null},{"id":"W6958315984","doi":"10.6084/m9.figshare.14374730","title":"Additional file 4 of Successful incorporation of single reviewer assessments during systematic review screening: development and validation of sensitivity and work-saved of an algorithm that considers exclusion criteria and count","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; BC Children's Hospital; Children's Hospital of Eastern Ontario; University of British Columbia","funders":"","keywords":"Sensitivity (control systems); Table (database); Set (abstract data type); Data set; Systematic error","score_opus":0.05587019629500683,"score_gpt":0.29492093439020706,"score_spread":0.23905073809520022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958315984","genre_codex":"dataset","genre_gemma":"methods","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00072293537,0.00018743481,0.0026982145,0.0007879185,0.00016895593,0.0050739213,0.9865703,0.0018062667,0.001984112],"genre_scores_gemma":[0.03583141,0.0010117774,0.093884766,0.0030929078,0.0006550343,0.25987673,0.574364,0.004836048,0.026447337],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9655245,0.010971632,0.015069645,0.0032710806,0.0039952626,0.0011679041],"domain_scores_gemma":[0.42412457,0.47624198,0.036114864,0.017548164,0.043594845,0.0023756092],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.04305986,0.0025830716,0.0042707482,0.017801255,0.0021765064,0.0052089156,0.0033638843,0.0026550097,0.7821003],"category_scores_gemma":[0.40577173,0.0021063045,0.0047302344,0.017478699,0.00096501777,0.0066631883,0.004148873,0.0015989366,0.07030468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018397808,0.00013729392,0.00520643,0.11755169,0.0008737059,0.00019042403,0.00082469964,0.0008056524,0.00034108752,0.0030245637,0.84280944,0.026395274],"study_design_scores_gemma":[0.03480324,0.0009238838,0.05278896,0.11231336,0.005442619,0.000971655,0.0024734351,0.008797821,0.0040054214,0.03963923,0.7365346,0.0013057583],"about_ca_topic_score_codex":0.0056166,"about_ca_topic_score_gemma":0.017538365,"teacher_disagreement_score":0.9569401,"about_ca_system_score_codex":0.0047402163,"about_ca_system_score_gemma":0.013618729,"threshold_uncertainty_score":0.3108074},"labels":[],"label_agreement":null},{"id":"W6964919898","doi":"10.3389/fmicb.2021.667394.s001","title":"Table_1_Pulse Frequency in Crop Rotations Alters Soil Microbial Community Networks and the Relative Abundance of Fungal Plant Pathogens.DOCX","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Rhizosphere; Crop rotation; Crop; Microbial population biology; Cropping system; Relative species abundance; Bulk soil; Soil water; Crop residue; Soil microbiology","score_opus":0.024376816882920375,"score_gpt":0.2533293561683814,"score_spread":0.22895253928546105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6964919898","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006902987,0.0001537191,0.0005119918,0.00015517492,0.00020883877,0.00026845108,0.9883388,0.0010116679,0.0024482058],"genre_scores_gemma":[0.050532788,0.00060537533,0.012540982,0.0010886788,0.00014541454,0.001554152,0.9037232,0.001634864,0.02817451],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997471,0.000012934928,0.000025361976,0.00008045076,0.00007023159,0.00006396842],"domain_scores_gemma":[0.99809426,0.00083483604,0.00022264278,0.00010011465,0.0005241053,0.0002240614],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00035404816,0.0016622317,0.0015743198,0.0023088644,0.0013225053,0.001257779,0.0014362903,0.00073642086,0.4313303],"category_scores_gemma":[0.0016875996,0.00070123415,0.001420077,0.0030960948,0.00033397693,0.0017143226,0.00064766826,0.0016271074,0.034613755],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003150679,0.001248798,0.044304453,0.028295271,0.0008280052,0.0006866454,0.0006548115,0.0035536184,0.07880637,0.0015432403,0.7938113,0.043116774],"study_design_scores_gemma":[0.0023725142,0.0018364016,0.5473754,0.0031011442,0.0005451006,0.00083346287,0.0027283847,0.007722734,0.037090182,0.004295448,0.39170447,0.000394863],"about_ca_topic_score_codex":0.012519039,"about_ca_topic_score_gemma":0.02454432,"teacher_disagreement_score":0.4313303,"about_ca_system_score_codex":0.00096296315,"about_ca_system_score_gemma":0.0014384785,"threshold_uncertainty_score":0.81113833},"labels":[],"label_agreement":null},{"id":"W6976690238","doi":"10.6068/dp15034a725a760","title":"Trend 1961 - 1997. Statistics Canada. CANSIM: Manufacturing - Nonmetallic Mineral and Metal | Country: Canada | Table: Principal statistics of the mineral industries | Variable: Fuel and electricity, Peat bogs | Units: , 1961-1997. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-153.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Mineral resource classification; Statistical analysis; Official statistics; Bog; Census; Summary statistics; Social statistics","score_opus":0.022858243632236742,"score_gpt":0.23861565870501722,"score_spread":0.21575741507278048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6976690238","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000056441357,0.000051029827,0.000026618583,0.00011166206,0.000023502245,0.0000101495325,0.9986737,0.00005668529,0.0009902074],"genre_scores_gemma":[0.000984664,0.0003012511,0.00035730112,0.00013411058,0.000016314254,0.000085866144,0.99313015,0.000115824645,0.004874468],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9957372,0.00023061714,0.0004020048,0.0005865972,0.0020263763,0.0010171541],"domain_scores_gemma":[0.969776,0.0011464611,0.0010237604,0.0009346543,0.025794566,0.0013244795],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017742232,0.0023624764,0.0024590795,0.009111824,0.0032061948,0.0045615993,0.004619553,0.0013896927,0.092155516],"category_scores_gemma":[0.015580407,0.0015926296,0.0017320573,0.04311668,0.00069987983,0.0023390003,0.0020648392,0.0028317042,0.057267886],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021039377,0.0000062542185,0.0010962782,0.00023247716,0.000021624528,0.000008118484,0.000024417302,0.00014004872,0.000010751511,0.00048689425,0.996314,0.0016380282],"study_design_scores_gemma":[0.000098209704,0.000008956599,0.017846582,0.000555387,0.0000512152,0.00002241777,0.00041727663,0.00036713548,0.00017188622,0.0005825076,0.97981274,0.00006576305],"about_ca_topic_score_codex":0.99471176,"about_ca_topic_score_gemma":0.9924803,"teacher_disagreement_score":0.9078445,"about_ca_system_score_codex":0.047940146,"about_ca_system_score_gemma":0.13130729,"threshold_uncertainty_score":0.3478318},"labels":[],"label_agreement":null},{"id":"W6976703527","doi":"10.6084/m9.figshare.24175341.v2","title":"Marrëdhëniet tregtare ndërmjet Raguzës dhe shqiptarëve gjatë periudhës osmane nën dritën e disa autorëve. Rezultatet e para të një hulumtimi (Mercantile relations between Ragusa and Albanians during the periods of Ottoman Empire second various authors. First results)","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ottoman empire; Relation (database); The Republic; Interpretation (philosophy); Quarter (Canadian coin)","score_opus":0.028950470219781733,"score_gpt":0.2681271238839637,"score_spread":0.23917665366418198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6976703527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5588978,0.032556485,0.00264538,0.009910366,0.0015647848,0.00006316173,0.0006063876,0.0001151653,0.39364046],"genre_scores_gemma":[0.8730819,0.0071587344,0.00065665675,0.00035339803,0.00015095258,0.000012478969,0.00017275102,0.000030854364,0.11838233],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9997968,0.00004039389,0.000013442479,0.00003694587,0.00006417814,0.000048270293],"domain_scores_gemma":[0.9998299,0.000050733404,0.00003343008,0.000016660428,0.000049992606,0.000019393456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003206637,0.00019191983,0.00013505251,0.0006396281,0.0016716581,0.0027083922,0.00020401788,0.00041874757,0.017909711],"category_scores_gemma":[0.0005443378,0.0001029153,0.0001504457,0.0008637712,0.0009874649,0.0011546529,0.001074618,0.0005718763,0.0019013642],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042311876,0.00017255936,0.06066454,0.0018063452,0.000104093066,0.0031201262,0.058070216,0.0007347511,0.013607762,0.32393008,0.048513066,0.48885345],"study_design_scores_gemma":[0.000011852331,0.00012704829,0.08555916,0.00054124254,0.000049486785,0.001562124,0.030418225,0.0002979575,0.0067236912,0.007405546,0.86726886,0.000034721943],"about_ca_topic_score_codex":0.008636058,"about_ca_topic_score_gemma":0.022860557,"teacher_disagreement_score":0.017909711,"about_ca_system_score_codex":0.0015266264,"about_ca_system_score_gemma":0.0010698278,"threshold_uncertainty_score":0.059913933},"labels":[],"label_agreement":null},{"id":"W6977153658","doi":"10.6084/m9.figshare.20968241","title":"Additional file 1 of Overestimation of benefit when clinical trials stop early: a simulation study","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Toronto","funders":"","keywords":"Table (database); Clinical trial; Relative risk; Absolute risk reduction; Reduction (mathematics); Statistical analysis","score_opus":0.18858186818966602,"score_gpt":0.411906991519965,"score_spread":0.223325123330299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977153658","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012353824,0.0001384247,0.0047789193,0.0010449478,0.00016841362,0.0028164543,0.9812087,0.001416367,0.0071924627],"genre_scores_gemma":[0.17139268,0.0013032728,0.0827687,0.009725943,0.0011284793,0.077687666,0.5839277,0.006757284,0.06530829],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99449426,0.0030880675,0.00071239064,0.0005922376,0.0007210762,0.0003919571],"domain_scores_gemma":[0.7015721,0.2746582,0.0082696015,0.0059223035,0.008046148,0.0015315143],"candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01454019,0.0014443563,0.0016140345,0.0019918412,0.00075613265,0.0019268072,0.0023818677,0.0027673196,0.8527309],"category_scores_gemma":[0.17055194,0.0011351991,0.0025530888,0.0026677472,0.0004265381,0.0021526047,0.0011139665,0.0019061348,0.08187973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0043270863,0.000417461,0.0053144367,0.008463891,0.0005153198,0.00022503211,0.00013592397,0.0128404945,0.00009648513,0.0054987865,0.9336735,0.028491495],"study_design_scores_gemma":[0.105527885,0.0041498947,0.033291526,0.01912781,0.002697267,0.0020930618,0.00053590554,0.095909365,0.0017512277,0.078461684,0.6559422,0.00051220856],"about_ca_topic_score_codex":0.006332437,"about_ca_topic_score_gemma":0.0104960725,"teacher_disagreement_score":0.9854598,"about_ca_system_score_codex":0.0024615675,"about_ca_system_score_gemma":0.004209693,"threshold_uncertainty_score":0.21006149},"labels":[],"label_agreement":null},{"id":"W6981471566","doi":"","title":"Enbridge Income Fund Holdings Inc. Announces Fourth Quarter Results; Declares Monthly Dividend","year":2013,"lang":"en","type":"other","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Dividend; Quarter (Canadian coin); Work (physics); Net income","score_opus":0.023523992660469464,"score_gpt":0.26202529086207055,"score_spread":0.2385012982016011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6981471566","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031496845,0.0003968157,0.00058330584,0.006390371,0.0021932162,0.00007547627,0.006423154,0.0011996707,0.9795884],"genre_scores_gemma":[0.0036477393,0.00011292816,0.000099607816,0.00046247232,0.00016227881,0.000013226703,0.0016566463,0.00018229878,0.99366283],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99870753,0.00003345863,0.000027351247,0.000100451594,0.0009309477,0.00020026513],"domain_scores_gemma":[0.997692,0.00015240718,0.000083766616,0.00013697647,0.0014334915,0.00050136796],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011266983,0.00060511264,0.00047052515,0.0014574927,0.0021300288,0.0062793097,0.0009247169,0.002155968,0.34841356],"category_scores_gemma":[0.0037608268,0.00037214227,0.00048008986,0.0010749707,0.0004318914,0.0022645139,0.0012257572,0.0025305033,0.19928345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007317412,0.000054778437,0.00044902405,0.000017836592,0.0000023472123,0.00006304995,0.000020633861,0.000043624932,0.0002534154,0.005774605,0.9771742,0.016073246],"study_design_scores_gemma":[0.000019004574,0.00002770838,0.0013502177,0.00002028049,0.0000046230825,0.000029055585,0.00006484943,0.00027127282,0.0006544915,0.0010043929,0.99654394,0.000010188251],"about_ca_topic_score_codex":0.023834761,"about_ca_topic_score_gemma":0.07098115,"teacher_disagreement_score":0.34841356,"about_ca_system_score_codex":0.002413401,"about_ca_system_score_gemma":0.0037037656,"threshold_uncertainty_score":0.92940897},"labels":[],"label_agreement":null},{"id":"W6990313691","doi":"","title":"Deducción de un modelo electroquímico para baterías de ion-litio y estudio comparativo de herramientas para su resolución","year":2023,"lang":"es","type":"dissertation","venue":"UPM Digital Archive (Technical University of Madrid)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"High energy; Low energy; Context (archaeology); Energy density","score_opus":0.02153776667954082,"score_gpt":0.2662368700737467,"score_spread":0.24469910339420586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6990313691","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.065044835,0.0014590566,0.9049012,0.0009837588,0.00020258086,0.00024402661,0.0004256803,0.0015346692,0.025204252],"genre_scores_gemma":[0.8933866,0.0018613894,0.085557945,0.00022979306,0.00004348142,0.00045358224,0.0005380267,0.00020376309,0.01772546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996321,0.00007295783,0.00002503199,0.00007182125,0.00015847298,0.000039624552],"domain_scores_gemma":[0.9993556,0.00029592958,0.000058982387,0.000050312367,0.00022164227,0.00001753645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000690839,0.0012912565,0.0009408125,0.0008120988,0.0005288725,0.0018628273,0.0013668454,0.001604721,0.005136413],"category_scores_gemma":[0.002640446,0.00061775063,0.0014074215,0.000741532,0.00047283934,0.0017611913,0.0006428154,0.00117052,0.0011358471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015633587,0.00012920194,0.00439245,0.00042816158,0.0000830056,0.000306724,0.00026569338,0.9152553,0.010750352,0.014976846,0.0019013722,0.051354583],"study_design_scores_gemma":[0.000018232435,0.00005182394,0.0007894723,0.00005303778,0.000038560243,0.000052359715,0.000070326125,0.989175,0.0026330568,0.0047070775,0.002391047,0.000019895126],"about_ca_topic_score_codex":0.01819619,"about_ca_topic_score_gemma":0.012310314,"teacher_disagreement_score":0.01819619,"about_ca_system_score_codex":0.001650835,"about_ca_system_score_gemma":0.0018858666,"threshold_uncertainty_score":0.036180556},"labels":[],"label_agreement":null},{"id":"W6997057421","doi":"","title":"TransAlta using Tesla battery storage technology in Alberta's first large-scale energy storage project - Technology Today","year":2015,"lang":"en","type":"other","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Energy storage; Battery (electricity); Energy (signal processing); Cold storage; Work (physics)","score_opus":0.01436729292482763,"score_gpt":0.26161941284568085,"score_spread":0.24725211992085322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6997057421","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30627045,0.0010010414,0.009615768,0.0061873468,0.00084642845,0.00040044443,0.0065709157,0.005317274,0.6637903],"genre_scores_gemma":[0.4655539,0.0007509924,0.012342128,0.00034075745,0.00004637692,0.00008005491,0.005187197,0.00056609866,0.5151324],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997087,0.00001863937,0.0000034794791,0.00002688409,0.00015253027,0.00008970384],"domain_scores_gemma":[0.99951327,0.00002762339,0.000007812845,0.000043451848,0.00029383294,0.00011401035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007566206,0.00037167463,0.0002027272,0.00035036946,0.0028055976,0.0018113952,0.00077627966,0.0006065475,0.01949545],"category_scores_gemma":[0.00052069715,0.00016141385,0.00024815602,0.000520245,0.00058043486,0.00088663783,0.0009883976,0.0010707674,0.0030256351],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034137478,0.0010052666,0.02998694,0.0003549963,0.00008959087,0.002743382,0.0014386142,0.013421813,0.062044695,0.045175772,0.52563494,0.31469014],"study_design_scores_gemma":[0.0002550732,0.00048200728,0.03966006,0.00013915915,0.000060093593,0.00049487967,0.0031022518,0.023814598,0.05457719,0.0060039693,0.8713136,0.00009715505],"about_ca_topic_score_codex":0.48423684,"about_ca_topic_score_gemma":0.7627234,"teacher_disagreement_score":0.51576316,"about_ca_system_score_codex":0.005385786,"about_ca_system_score_gemma":0.014667755,"threshold_uncertainty_score":0.9628365},"labels":[],"label_agreement":null},{"id":"W6998799949","doi":"","title":"Battery life impact of vehicle-to-grid application of electric vehicles","year":2015,"lang":"en","type":"article","venue":"NPARC","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Battery (electricity); Electricity; Power (physics); Electrification; Automotive battery; Battery electric vehicle; Electricity generation; Electric vehicle; Stand-alone power system","score_opus":0.020850484922979386,"score_gpt":0.2865602351314204,"score_spread":0.26570975020844106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6998799949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9635647,0.0013667906,0.009889038,0.00022459615,0.00010444871,0.00010621268,0.001732705,0.0002882153,0.022723323],"genre_scores_gemma":[0.99681973,0.00040367746,0.0004946436,0.00002995645,0.000004076426,0.000017384136,0.0004777493,0.00002121135,0.0017316131],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99973816,0.000063437124,0.000013600695,0.000033397344,0.000091884875,0.000059522896],"domain_scores_gemma":[0.9993962,0.0002907328,0.000048387305,0.000037828824,0.00019511468,0.00003168092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037152373,0.00054666895,0.00051559316,0.00043973268,0.00038639607,0.00090508256,0.0005268345,0.0006079261,0.002662252],"category_scores_gemma":[0.001410638,0.00023036325,0.0007188716,0.00047913942,0.00026245145,0.00086446403,0.00047167906,0.00046250105,0.00054154196],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029839593,0.00008545705,0.009780518,0.00015795723,0.00007601142,0.0004796713,0.000075646014,0.9684146,0.0054118824,0.0010309799,0.0008743769,0.013314423],"study_design_scores_gemma":[0.00007917482,0.0009323542,0.018111855,0.00009191589,0.00018493157,0.0004429945,0.00043292198,0.94896245,0.017770689,0.0028399231,0.01007246,0.000078299876],"about_ca_topic_score_codex":0.007576918,"about_ca_topic_score_gemma":0.006709518,"teacher_disagreement_score":0.007576918,"about_ca_system_score_codex":0.00087241206,"about_ca_system_score_gemma":0.00055815827,"threshold_uncertainty_score":0.01506561},"labels":[],"label_agreement":null},{"id":"W6999433547","doi":"","title":"A Convolutional Neural Network to Predict the State-of-Lithiation of Lithium-ion Batteries with the Nickel-Manganese-Cobalt-Oxide Chemistry","year":2023,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Mean squared error; Convolutional neural network; Artificial neural network; Function (biology); Ground truth; Approximation error; Term (time); Regression; Data modeling","score_opus":0.008514757076271005,"score_gpt":0.20487145170948248,"score_spread":0.19635669463321148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6999433547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55472755,0.0006991061,0.4335204,0.0005564664,0.00011903741,0.00007879117,0.00051267585,0.0014538546,0.008332157],"genre_scores_gemma":[0.95610213,0.0001817329,0.038485996,0.00004840347,0.000010744633,0.000057233843,0.0003291525,0.000036741545,0.0047477814],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99995923,0.000004389497,0.0000023252737,0.000012462856,0.000012390199,0.0000091194115],"domain_scores_gemma":[0.9998847,0.000052511325,0.000013077261,0.000007490257,0.000034764944,0.000007342748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021487585,0.00045071216,0.00024658197,0.00017047196,0.00016679746,0.00030163006,0.0004998649,0.000484997,0.0006219845],"category_scores_gemma":[0.0005418652,0.00027930413,0.00033083107,0.00018306855,0.00019080061,0.0003912055,0.00025498358,0.000669702,0.00013750364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025822612,0.00003142358,0.00081130175,0.000017355587,0.000017548451,0.000023930343,0.000010975781,0.98091036,0.004587848,0.0007472409,0.00022977106,0.012586304],"study_design_scores_gemma":[5.7839264e-7,0.0000044023473,0.00008863526,6.0739615e-7,0.0000014744766,0.0000012572501,5.5148047e-7,0.99899584,0.00078892836,0.0000703248,0.000046754874,7.400811e-7],"about_ca_topic_score_codex":0.021499248,"about_ca_topic_score_gemma":0.021321673,"teacher_disagreement_score":0.021499248,"about_ca_system_score_codex":0.0011564558,"about_ca_system_score_gemma":0.0009767709,"threshold_uncertainty_score":0.042748213},"labels":[],"label_agreement":null},{"id":"W6999980235","doi":"","title":"Drawing-Writing-Up: En undersøgelse af udfordringer og potentialer ved etnografiske tegneserier","year":2021,"lang":"da","type":"other","venue":"Lund University Publications Student Papers (Lund University)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Friendship; Perspective (graphical); George (robot)","score_opus":0.01362139593767066,"score_gpt":0.239587082148833,"score_spread":0.22596568621116234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6999980235","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060328767,0.009492984,0.09437207,0.1170883,0.010510927,0.0010005268,0.0012445953,0.0011846323,0.70477724],"genre_scores_gemma":[0.55748147,0.010842009,0.080091804,0.015550669,0.0021710615,0.0014885428,0.0016726628,0.0027190445,0.32798272],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.96867096,0.024238627,0.0007388791,0.0015350354,0.003924522,0.00089196104],"domain_scores_gemma":[0.960831,0.02338849,0.0021352193,0.0048452127,0.0048556896,0.00394431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014333708,0.0016508758,0.00065368065,0.0018393367,0.010786867,0.016725456,0.003023077,0.0033630563,0.036664464],"category_scores_gemma":[0.05400369,0.0006253091,0.0008409038,0.0027651559,0.02119483,0.010929841,0.009212221,0.0074348757,0.013528387],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007021629,0.00010020689,0.0017639113,0.00072936044,0.000023834182,0.0012604434,0.5501904,0.00035909755,0.0019870403,0.1133609,0.21849492,0.111659706],"study_design_scores_gemma":[0.000011412849,0.000025020558,0.00064713217,0.00057661766,0.000008188365,0.00053880474,0.15060474,0.00016823056,0.0007466422,0.021562004,0.82507366,0.000037573165],"about_ca_topic_score_codex":0.0052458765,"about_ca_topic_score_gemma":0.009559652,"teacher_disagreement_score":0.036664464,"about_ca_system_score_codex":0.0060769804,"about_ca_system_score_gemma":0.0077649327,"threshold_uncertainty_score":0.122654796},"labels":[],"label_agreement":null},{"id":"W7009481798","doi":"","title":"Electrochemical-thermal Analysis of High Capacity Li-ion Pouch Cell for Automotive Applications","year":2020,"lang":"en","type":"dissertation","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Politecnico di Torino; University of Windsor","keywords":"Automotive industry; Battery (electricity); Thermal; Heat generation; Voltage; Automotive engine; Limit (mathematics); Fossil fuel","score_opus":0.013993397906013253,"score_gpt":0.23010081145567077,"score_spread":0.2161074135496575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009481798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9738566,0.001988703,0.018165,0.00021036262,0.000054887303,0.00004051651,0.0010177479,0.00022959155,0.0044365753],"genre_scores_gemma":[0.9963904,0.0004495222,0.0015993043,0.000012980768,0.0000041833573,0.000024020126,0.00023005033,0.000010433434,0.001279133],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999161,0.000006542214,0.0000045409774,0.00001643002,0.000048653994,0.000007799165],"domain_scores_gemma":[0.99994385,0.000019237863,0.0000047841636,0.0000072087387,0.000021992173,0.0000030115273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012678465,0.0002329792,0.0003566548,0.00025680338,0.00024819034,0.00046097732,0.00047852917,0.00049265387,0.0014153342],"category_scores_gemma":[0.00023769667,0.00011520461,0.00033023648,0.00040912963,0.00013257464,0.0004251107,0.00012293243,0.00029614114,0.00030555626],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004377555,0.00016490991,0.007895931,0.0007680226,0.00007172586,0.0009517183,0.0002469272,0.21554933,0.7327235,0.0029663146,0.0018646965,0.036359183],"study_design_scores_gemma":[0.000014147504,0.0003445289,0.008924188,0.000018644845,0.000029009585,0.00023664351,0.00016508251,0.72029185,0.2656092,0.0009065695,0.0034200985,0.000040125153],"about_ca_topic_score_codex":0.0017025961,"about_ca_topic_score_gemma":0.0016532368,"teacher_disagreement_score":0.0017025961,"about_ca_system_score_codex":0.00030415013,"about_ca_system_score_gemma":0.0002184665,"threshold_uncertainty_score":0.004734814},"labels":[],"label_agreement":null},{"id":"W7015551678","doi":"","title":"Time resolved electrostatic force microscopy measurements of ionic transport","year":2019,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ionic bonding; Ion; Limiting; Lithium (medication); Battery (electricity); Ionic conductivity; Ionic potential; Variety (cybernetics)","score_opus":0.01736561432470772,"score_gpt":0.260451649177425,"score_spread":0.2430860348527173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7015551678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9601944,0.0015078363,0.025328493,0.0005968413,0.00023681235,0.0000890713,0.0009784094,0.00029516243,0.010772865],"genre_scores_gemma":[0.965881,0.0012815167,0.02081205,0.0001693296,0.00006150412,0.00008163932,0.0005017571,0.000030029074,0.011181224],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997999,0.000009580596,0.000007686502,0.000041595777,0.00010984129,0.000031445335],"domain_scores_gemma":[0.9998361,0.000058386133,0.000025098778,0.000011297596,0.000056390774,0.000012705258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020274246,0.00017938475,0.00018044544,0.0005108353,0.0003101959,0.00037291096,0.00038910928,0.0006210722,0.0021165079],"category_scores_gemma":[0.0004665055,0.00012307423,0.00015245998,0.00042071193,0.00021245788,0.0005754308,0.00026520857,0.00042117282,0.00037165798],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008429732,0.000046898436,0.0006501102,0.000094458046,0.0000073442907,0.00011468054,0.00016818166,0.0013440965,0.97809654,0.0025103092,0.0010247263,0.015858276],"study_design_scores_gemma":[0.000036031142,0.00033667727,0.010247974,0.000027804925,0.000015262161,0.0003168404,0.00032759737,0.038890604,0.93836987,0.0010370301,0.010338795,0.00005565566],"about_ca_topic_score_codex":0.0007318405,"about_ca_topic_score_gemma":0.0010221277,"teacher_disagreement_score":0.0021165079,"about_ca_system_score_codex":0.00050288526,"about_ca_system_score_gemma":0.00026290273,"threshold_uncertainty_score":0.007080376},"labels":[],"label_agreement":null},{"id":"W7017795043","doi":"","title":"Book Review - The Tenth Justice: Judicial Appointments, Marc Nadon, and the Supreme Court Act Reference by Carissima Mathen &amp; Michael Plaxton","year":2021,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Supreme court; Appeal; Economic Justice; Dissent; Statutory interpretation; Original jurisdiction; Statutory law; Remand (court procedure); Judicial review","score_opus":0.018032043197208435,"score_gpt":0.2737204296821133,"score_spread":0.2556883864849049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7017795043","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00035563463,0.7279617,0.00058143056,0.07238338,0.060241185,0.000039487422,0.00025704698,0.000078422265,0.13810171],"genre_scores_gemma":[0.0055896,0.5232354,0.00067195797,0.05064267,0.040913407,0.00008331109,0.0004905668,0.00015804377,0.3782151],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99861777,0.00023671667,0.00006148738,0.00015354974,0.00083081383,0.00009958833],"domain_scores_gemma":[0.9963535,0.0014468398,0.0002162152,0.000102413345,0.0016172302,0.0002638791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009655594,0.0007245882,0.0008380229,0.0022811617,0.0020874736,0.005335575,0.0012312317,0.0026787897,0.031196894],"category_scores_gemma":[0.00650852,0.0005256963,0.0003767316,0.0037992042,0.0021010393,0.0034415938,0.0011011594,0.0046193274,0.019926187],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027206568,0.0000053389726,0.00002672709,0.00012500213,0.0000011756555,0.000015516782,0.000057287532,0.000024859415,0.00001840405,0.005119784,0.97567403,0.01892905],"study_design_scores_gemma":[0.0000012772326,0.0000030321387,0.00011487253,0.00032189375,0.0000011993867,0.000036898666,0.00006085006,0.000008184121,0.00000933692,0.00089042383,0.9985489,0.0000030890362],"about_ca_topic_score_codex":0.046278063,"about_ca_topic_score_gemma":0.10567455,"teacher_disagreement_score":0.046278063,"about_ca_system_score_codex":0.007059011,"about_ca_system_score_gemma":0.010072165,"threshold_uncertainty_score":0.10436398},"labels":[],"label_agreement":null},{"id":"W7017857432","doi":"","title":"Buckeye Partners, L.P. Reports First Quarter 2017 Financial Results","year":2017,"lang":"en","type":"other","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Financial management; Economic forecasting; Government (linguistics)","score_opus":0.02352617271966712,"score_gpt":0.2996537919603512,"score_spread":0.2761276192406841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7017857432","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0013823395,0.0018935064,0.0010075137,0.024619982,0.01290243,0.00027311096,0.014261424,0.001615376,0.9420443],"genre_scores_gemma":[0.0046172244,0.0018554695,0.00029018256,0.0023128255,0.0012078164,0.00007199199,0.006813596,0.0005232484,0.9823077],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9961125,0.00017664993,0.00011164667,0.0001958229,0.002859256,0.0005441429],"domain_scores_gemma":[0.992405,0.00065239135,0.00027513932,0.00039698917,0.004830485,0.0014399464],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003466336,0.0010329743,0.00068351836,0.0027413408,0.0023134395,0.010030991,0.0015152495,0.0038129739,0.46233672],"category_scores_gemma":[0.010262837,0.0003551165,0.0007885386,0.0021368088,0.0007807662,0.003437047,0.0019746283,0.0033810297,0.4362617],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055209253,0.00003493849,0.00019881481,0.000038031278,0.0000030234391,0.000048524133,0.000009522637,0.000052107916,0.0001549271,0.0033334233,0.98073167,0.0153397955],"study_design_scores_gemma":[0.000022408954,0.000030723317,0.00039150662,0.0000647205,0.0000048748298,0.0000412979,0.000055916462,0.00016416215,0.0007009497,0.0011240252,0.9973895,0.000009941239],"about_ca_topic_score_codex":0.007804083,"about_ca_topic_score_gemma":0.016538784,"teacher_disagreement_score":0.46233672,"about_ca_system_score_codex":0.00293544,"about_ca_system_score_gemma":0.008209503,"threshold_uncertainty_score":0.7669114},"labels":[],"label_agreement":null},{"id":"W7018593114","doi":"","title":"Efectos de un programa basado en juegos reducidos sobre la condición física de jóvenes jugadores de fútbol","year":2017,"lang":"en","type":"article","venue":"Dialnet (Universidad de la Rioja)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Test (biology); Physical activity; Poison control; Age groups","score_opus":0.008751150444637763,"score_gpt":0.27392605945088605,"score_spread":0.2651749090062483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7018593114","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974642,0.0008968473,0.00025279282,0.00011981285,0.0000655643,0.00017477378,0.000049614107,0.0000466973,0.00092967885],"genre_scores_gemma":[0.9874149,0.0029034729,0.0027440458,0.00017844237,0.00011818539,0.0006084495,0.00022123336,0.000017821369,0.0057933577],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9997861,0.000073862866,0.00001073958,0.000038926635,0.000032828593,0.000057652807],"domain_scores_gemma":[0.99955195,0.000113480506,0.00009582555,0.000019378967,0.00003386321,0.00018551483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041392728,0.0005008312,0.00049463956,0.00039197784,0.00030640868,0.00034642845,0.0004591446,0.0005254759,0.0039127083],"category_scores_gemma":[0.0013285076,0.00017408941,0.0003402994,0.00015500645,0.0002563562,0.00017692405,0.00046097045,0.0004641626,0.00035641232],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.09326906,0.13224167,0.050760463,0.0043771043,0.0006957688,0.00062418415,0.0032856157,0.0019315562,0.029892273,0.0006373601,0.0026047041,0.67968035],"study_design_scores_gemma":[0.011385083,0.19589145,0.7530448,0.00181646,0.0014613279,0.00023517018,0.0034131103,0.0035088994,0.009376674,0.00046057222,0.019332808,0.0000736555],"about_ca_topic_score_codex":0.005083827,"about_ca_topic_score_gemma":0.0116496505,"teacher_disagreement_score":0.005083827,"about_ca_system_score_codex":0.00026579556,"about_ca_system_score_gemma":0.0006055289,"threshold_uncertainty_score":0.013089359},"labels":[],"label_agreement":null},{"id":"W7019511481","doi":"","title":"Health and safety enhancement of lithium-ion batteries for fast-charging","year":2021,"lang":"en","type":"dissertation","venue":"e-scholar@UOIT (University of Ontario Institute of Technology)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Permission; License; Personal protective equipment; Legislation; Product (mathematics); Preemption; Safety standards","score_opus":0.012694519966112731,"score_gpt":0.23959743952054496,"score_spread":0.22690291955443223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7019511481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5783329,0.038255773,0.1097443,0.005338706,0.0015865221,0.0006260106,0.0010307612,0.0011019148,0.2639831],"genre_scores_gemma":[0.8948933,0.0073153623,0.0057224156,0.0004254392,0.00011010197,0.00007175276,0.00031046048,0.0000650495,0.091086134],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999833,0.000022428405,0.0000050872,0.000018828092,0.000097253935,0.000023327859],"domain_scores_gemma":[0.99980944,0.00004223764,0.000016230555,0.000014501726,0.00010564996,0.000012063124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003783458,0.00030951615,0.00020758204,0.00029442387,0.00029120396,0.000905771,0.00035729815,0.00044596705,0.007867114],"category_scores_gemma":[0.00050951407,0.000083531246,0.0002809501,0.00015745938,0.00030191778,0.00063054595,0.000453587,0.00032263636,0.0015827632],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015373259,0.00042796184,0.0025682412,0.0020496515,0.000050980678,0.00046161623,0.0013957002,0.017638652,0.38911858,0.031518996,0.018817592,0.5344147],"study_design_scores_gemma":[0.00019818278,0.005031758,0.012353529,0.0007291596,0.00019650387,0.0010031885,0.0015151176,0.04156375,0.70686305,0.031070767,0.19937758,0.0000975228],"about_ca_topic_score_codex":0.00076420023,"about_ca_topic_score_gemma":0.0011100422,"teacher_disagreement_score":0.007867114,"about_ca_system_score_codex":0.00068291737,"about_ca_system_score_gemma":0.0006167003,"threshold_uncertainty_score":0.026318192},"labels":[],"label_agreement":null},{"id":"W7030111463","doi":"","title":"Medical tourism in Mexico: strategies of the south medical group","year":2020,"lang":"en","type":"article","venue":"Dialnet (Universidad de la Rioja)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medical tourism; Accreditation; Commission; Certification; Hospital accreditation; Tourism; Health care; Recreation","score_opus":0.010176231054395711,"score_gpt":0.2486135722847119,"score_spread":0.23843734123031618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7030111463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9408713,0.00092373707,0.00015851791,0.0062955795,0.00003421305,0.000037096503,0.000032560754,0.000004927499,0.051642045],"genre_scores_gemma":[0.9870003,0.0011905613,0.00023855867,0.00036373668,0.000025850723,0.000025625443,0.000041161555,0.0000032106107,0.01111106],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99974173,0.00007216302,0.0000045524475,0.000017824419,0.000021889644,0.00014186256],"domain_scores_gemma":[0.9996375,0.0000412302,0.000075663025,0.000008156401,0.000036665024,0.00020074622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057556434,0.00012321891,0.00007377467,0.0010133012,0.004676002,0.0027549264,0.00035348174,0.00063299265,0.004971337],"category_scores_gemma":[0.00072022073,0.00009181178,0.00012293279,0.0009390259,0.0015911569,0.00096735597,0.002408128,0.00050024455,0.00022533961],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004554667,0.0005370585,0.47175354,0.00035088396,0.000041758463,0.0045523834,0.26530322,0.0003917893,0.002155324,0.08732394,0.019518975,0.14761561],"study_design_scores_gemma":[0.000022613065,0.00020867835,0.42945024,0.00026178086,0.000025129426,0.0009075032,0.40481687,0.0005116461,0.00033535346,0.0020565647,0.16138318,0.000020325488],"about_ca_topic_score_codex":0.032358866,"about_ca_topic_score_gemma":0.053608302,"teacher_disagreement_score":0.032358866,"about_ca_system_score_codex":0.003851796,"about_ca_system_score_gemma":0.004057512,"threshold_uncertainty_score":0.06434101},"labels":[],"label_agreement":null},{"id":"W7033024660","doi":"","title":"Performance Practice for Māori Waiata","year":2021,"lang":"en","type":"other","venue":"ResearchSpace (University of Auckland)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Period (music); Work (physics)","score_opus":0.024898088485624966,"score_gpt":0.2731665752246065,"score_spread":0.24826848673898155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7033024660","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7666184,0.0024915976,0.00043271465,0.013751836,0.00066662807,0.000086209315,0.00018980335,0.000110854264,0.21565197],"genre_scores_gemma":[0.7104605,0.0024439015,0.0009732736,0.0008626975,0.0001456693,0.00009947329,0.00023155578,0.00008571782,0.28469718],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996636,0.00008307822,0.000009926841,0.00004768188,0.000053475935,0.00014230849],"domain_scores_gemma":[0.99935824,0.0000545987,0.00004327379,0.000035047524,0.00015267235,0.00035613505],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008051037,0.0002917125,0.0002333004,0.00050287566,0.0057986216,0.0013130502,0.0006609546,0.00065641536,0.0322262],"category_scores_gemma":[0.0015596546,0.00013280162,0.00017590619,0.00040231377,0.0009309718,0.00073063216,0.0024139795,0.0010593266,0.005555562],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005158867,0.0011386167,0.034203663,0.0004003497,0.00004159452,0.0019576824,0.25955614,0.00020504561,0.004950493,0.008424885,0.23422018,0.45438555],"study_design_scores_gemma":[0.0000597507,0.00091577735,0.120302156,0.00047057797,0.000032541953,0.0013758056,0.2560585,0.00044389613,0.0011830431,0.0013816672,0.6177323,0.000043961834],"about_ca_topic_score_codex":0.037158016,"about_ca_topic_score_gemma":0.19300608,"teacher_disagreement_score":0.9677738,"about_ca_system_score_codex":0.001900371,"about_ca_system_score_gemma":0.0018663602,"threshold_uncertainty_score":0.1078074},"labels":[],"label_agreement":null},{"id":"W7034283358","doi":"","title":"TV nation, the nationalist narratives and mythological messages of the Heritage Minutes","year":2001,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Durvalumab","score_opus":0.005411281500943271,"score_gpt":0.16312858003729985,"score_spread":0.15771729853635658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7034283358","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.066368036,0.002092688,0.00028964534,0.03552194,0.00061305513,0.000020405396,0.0004051456,0.00003368371,0.89465547],"genre_scores_gemma":[0.55293405,0.002411895,0.00023971581,0.004578736,0.00033806832,0.000058745165,0.00022933254,0.00022957544,0.4389799],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9988776,0.00040791623,0.000021787202,0.000084885265,0.00024619378,0.0003615909],"domain_scores_gemma":[0.9972193,0.0015852249,0.00014394206,0.00013026051,0.0003256586,0.0005955664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020232324,0.00037872256,0.00032376905,0.0018965771,0.029434733,0.016067404,0.0008457856,0.0030845175,0.016736494],"category_scores_gemma":[0.0046859263,0.0003543791,0.0001544202,0.0031327817,0.013064739,0.005254456,0.0033501496,0.006277825,0.0012518258],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053121003,0.000022172486,0.0011365421,0.000061701416,0.000003765067,0.00040649332,0.55387664,0.000051683568,0.00018974749,0.30694085,0.12918855,0.008068742],"study_design_scores_gemma":[0.0000042611623,0.000004007117,0.0021895566,0.00013499067,0.0000031628786,0.000121290694,0.3293227,0.000031834945,0.00015938237,0.0031557155,0.664863,0.000010103312],"about_ca_topic_score_codex":0.35742003,"about_ca_topic_score_gemma":0.6146236,"teacher_disagreement_score":0.64258,"about_ca_system_score_codex":0.018349571,"about_ca_system_score_gemma":0.008660198,"threshold_uncertainty_score":0.71067923},"labels":[],"label_agreement":null},{"id":"W7036227839","doi":"","title":"ARCHIVEIT-1830-NONE-LMVGQA-20111201152805-00000-crawling204.us.archive.org-6681.warc.gz","year":2011,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Work (physics); Process (computing)","score_opus":0.008433633356280824,"score_gpt":0.19333835414631512,"score_spread":0.18490472079003428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7036227839","genre_codex":"dataset","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006501064,0.00026169498,0.0037463543,0.0005377317,0.0002826366,0.00022798956,0.57196283,0.16869456,0.25363618],"genre_scores_gemma":[0.002721859,0.00039910735,0.0052948627,0.00039769642,0.00011465236,0.0002417972,0.61140877,0.081311904,0.29810935],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99895906,0.00008746058,0.000065739885,0.00019775519,0.0005178166,0.0001721476],"domain_scores_gemma":[0.99304634,0.00087337615,0.00022975607,0.0021921545,0.0028830294,0.0007753384],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011432056,0.002444276,0.0013465418,0.0074457363,0.0019446395,0.005669978,0.0022512185,0.0018140742,0.737777],"category_scores_gemma":[0.00862704,0.0017663134,0.00090750254,0.009833708,0.0006194191,0.0035844897,0.0035238573,0.0013367153,0.8782262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027040014,0.000011917951,0.00013635548,0.00008999517,0.0000036585989,0.000007622405,0.000029375293,0.000040863484,0.00015374243,0.00034227566,0.9855312,0.013625877],"study_design_scores_gemma":[0.000030305471,0.000008663266,0.0010075428,0.00006327592,0.0000040256746,0.000030587147,0.000037104102,0.00020515519,0.0008721453,0.0003883913,0.9973345,0.00001848384],"about_ca_topic_score_codex":0.055630784,"about_ca_topic_score_gemma":0.05684663,"teacher_disagreement_score":0.262223,"about_ca_system_score_codex":0.0025451002,"about_ca_system_score_gemma":0.0022892621,"threshold_uncertainty_score":0.37402928},"labels":[],"label_agreement":null},{"id":"W7042236394","doi":"","title":"Ontario prepares to join the Carbon Market - Commodities (COMMODIT) News","year":2016,"lang":"en","type":"other","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Join (topology); Commodity; Government (linguistics); Carbon fibers; Carbon market","score_opus":0.01662522280582321,"score_gpt":0.2522861843107837,"score_spread":0.2356609615049605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7042236394","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022746243,0.0019821129,0.00024279821,0.049071595,0.0062646167,0.00012169404,0.009214917,0.00034029217,0.9304874],"genre_scores_gemma":[0.003841975,0.00070177164,0.00012108383,0.0028287817,0.00039813787,0.000014008747,0.00090900995,0.0001093774,0.9910759],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985806,0.000027809554,0.000016799857,0.000045385576,0.000996351,0.00033308144],"domain_scores_gemma":[0.9979001,0.00010249995,0.000057644073,0.00007107762,0.0011868881,0.00068179483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000772582,0.0005507746,0.0004056231,0.0012458283,0.0060923104,0.0067385877,0.00082902185,0.0047942065,0.21698453],"category_scores_gemma":[0.0025193503,0.00043907863,0.00070084067,0.001639265,0.0013132684,0.0017984889,0.0014927925,0.0028604944,0.03795981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019592331,0.000008654883,0.0002012832,0.000024460609,0.0000016998454,0.00006732819,0.0000367618,0.000023769771,0.000072469,0.003600507,0.9912872,0.004656453],"study_design_scores_gemma":[0.0000063424263,0.000003753465,0.0009348636,0.000019299425,0.0000016123406,0.000010900776,0.00008262855,0.000031385327,0.00007032001,0.00030174243,0.9985317,0.0000053575604],"about_ca_topic_score_codex":0.86949825,"about_ca_topic_score_gemma":0.9639986,"teacher_disagreement_score":0.21698453,"about_ca_system_score_codex":0.023708755,"about_ca_system_score_gemma":0.045261707,"threshold_uncertainty_score":0.7258855},"labels":[],"label_agreement":null},{"id":"W7042641903","doi":"","title":"Picea glauca albertiana, Alberta spruce, Plot 71-A, Arboretum.","year":2008,"lang":"en","type":"other","venue":"OhioLink ETD Center (Ohio Library and Information Network)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Plot (graphics); Yield (engineering); Vegetation (pathology); Field (mathematics)","score_opus":0.0067656987672588325,"score_gpt":0.1948188437491801,"score_spread":0.18805314498192127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7042641903","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54413545,0.0019649458,0.0033399805,0.0005423772,0.00016125165,0.0009998941,0.042960502,0.004338302,0.40155727],"genre_scores_gemma":[0.5609129,0.001130056,0.009635161,0.00051295885,0.000042951833,0.0005004439,0.059426665,0.00055060355,0.3672883],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998092,0.000012604651,0.0000060481466,0.000075513024,0.000067298606,0.000029288081],"domain_scores_gemma":[0.99977034,0.000017959866,0.00001680461,0.000014768551,0.000096595824,0.00008360836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020586466,0.0007415168,0.00034138077,0.0021542911,0.0017422662,0.00058935286,0.0010348925,0.00018358037,0.014864039],"category_scores_gemma":[0.00015235448,0.00027168976,0.00016491537,0.0013776106,0.00029460527,0.00023766313,0.00033082857,0.0005577349,0.005035915],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002580491,0.002394073,0.17477036,0.0005983592,0.0001785474,0.0024202336,0.0020934772,0.0027167907,0.21614072,0.0043792683,0.239045,0.35268274],"study_design_scores_gemma":[0.00018866535,0.00040200696,0.7629338,0.000057816305,0.000076768934,0.00039149265,0.0012963942,0.0011612826,0.0052641165,0.00049493555,0.22769615,0.00003662013],"about_ca_topic_score_codex":0.63763386,"about_ca_topic_score_gemma":0.87622255,"teacher_disagreement_score":0.36236614,"about_ca_system_score_codex":0.003877676,"about_ca_system_score_gemma":0.0016693249,"threshold_uncertainty_score":0.72900033},"labels":[],"label_agreement":null},{"id":"W7043753879","doi":"","title":"Wabash National Corporation Announces Second Quarter 2017 Results","year":2017,"lang":"en","type":"other","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Corporation; Quarter (Canadian coin); Work (physics)","score_opus":0.034281645328233974,"score_gpt":0.29587630928359826,"score_spread":0.2615946639553643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7043753879","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003111694,0.0002612007,0.0011399164,0.011394611,0.00546729,0.0002534869,0.008166146,0.0021503465,0.9680553],"genre_scores_gemma":[0.003516155,0.00009880617,0.00024581092,0.0014477371,0.00030511193,0.000055921184,0.0031960409,0.00036829014,0.99076617],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954867,0.0001864509,0.00007447123,0.0002025709,0.0032342363,0.0008154912],"domain_scores_gemma":[0.9925977,0.00064562215,0.00013408816,0.00055361533,0.004698515,0.0013704221],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004178709,0.001128079,0.00069957686,0.0025762524,0.0043935333,0.011926821,0.0014698193,0.004013586,0.34458104],"category_scores_gemma":[0.0070158807,0.0005651962,0.0011507417,0.001346978,0.0010874962,0.002915337,0.002152151,0.004304212,0.27361643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000653267,0.00009375644,0.0003050232,0.00001514427,0.0000028764314,0.00004149702,0.000015226788,0.000066971865,0.00014777527,0.0032400666,0.9876474,0.008359031],"study_design_scores_gemma":[0.000046009198,0.000051323495,0.0013637011,0.000030096091,0.000008845543,0.00002652852,0.00013127818,0.00044662616,0.00095521664,0.0018395486,0.995084,0.000016803766],"about_ca_topic_score_codex":0.0345638,"about_ca_topic_score_gemma":0.09635464,"teacher_disagreement_score":0.34458104,"about_ca_system_score_codex":0.004539169,"about_ca_system_score_gemma":0.011186082,"threshold_uncertainty_score":0.9348756},"labels":[],"label_agreement":null},{"id":"W7053015104","doi":"","title":"Telling the Story: Witnesses and Protagonists","year":2007,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Economic Justice; Human rights; Social justice; Subject (documents)","score_opus":0.007268505167773831,"score_gpt":0.20223176500185464,"score_spread":0.1949632598340808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7053015104","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22634748,0.01764105,0.0020256361,0.39347407,0.021709556,0.00035877895,0.00082429376,0.00017011414,0.33744904],"genre_scores_gemma":[0.668358,0.011065063,0.0010947968,0.037571535,0.002190568,0.0002198266,0.00030089435,0.00025525296,0.278944],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99873525,0.00054985564,0.000029675432,0.00010623776,0.00019108944,0.00038795502],"domain_scores_gemma":[0.99728334,0.0008423799,0.00016571725,0.00008562016,0.00030502808,0.0013178226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018100947,0.0006822889,0.00046491873,0.00078464916,0.02703858,0.0053994614,0.001171645,0.0049290126,0.016515918],"category_scores_gemma":[0.007952381,0.0005032394,0.00022123005,0.0012994646,0.0040945355,0.0037793412,0.0062301992,0.010199152,0.002695461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092722126,0.00007654002,0.0026609988,0.00014184124,0.000015089342,0.008633847,0.42046145,0.00006355444,0.00069055194,0.022196287,0.52393264,0.021034509],"study_design_scores_gemma":[0.00000776352,0.00001703276,0.0012791626,0.00020675798,0.000006481878,0.0013480161,0.438098,0.00003812806,0.00018167048,0.000991828,0.5578116,0.0000134772745],"about_ca_topic_score_codex":0.055346567,"about_ca_topic_score_gemma":0.1746685,"teacher_disagreement_score":0.055346567,"about_ca_system_score_codex":0.003469426,"about_ca_system_score_gemma":0.003567667,"threshold_uncertainty_score":0.11004883},"labels":[],"label_agreement":null},{"id":"W7053022144","doi":"","title":"A temporal study of Salmonella serovars in animals and humans in Alberta","year":2003,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Serotype; Salmonella; Agriculture; Animal health; Human health; Salmonella enterica","score_opus":0.016843707258065,"score_gpt":0.2471512121433819,"score_spread":0.2303075048853169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7053022144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972339,0.0004916103,0.00010558895,0.000069944894,0.000004397774,0.0000103700795,0.0006273862,0.00000331496,0.0014534767],"genre_scores_gemma":[0.99715096,0.0008010864,0.00016441004,0.00003662901,0.0000056104363,0.000006926636,0.0007581547,0.000001609477,0.0010746759],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965656,0.000034874454,0.000013623288,0.000059536716,0.00013082293,0.00010459847],"domain_scores_gemma":[0.99959534,0.000040818806,0.00012522483,0.00001506336,0.00014965326,0.00007388618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033534918,0.00012411537,0.00014462843,0.0011078888,0.0006503428,0.0005770409,0.0003009447,0.00021988858,0.0007297884],"category_scores_gemma":[0.0005955958,0.00014850094,0.00012279724,0.0017347819,0.00032435235,0.00019169925,0.0003549806,0.00021180011,0.00009846735],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010986939,0.00001664386,0.9874041,0.00002996789,0.000018563956,0.00018202075,0.0018172364,0.000076016964,0.0009871676,0.00007700036,0.0003497664,0.008931577],"study_design_scores_gemma":[9.730967e-7,0.000027079166,0.99770784,0.000009305295,0.000006355605,0.00007300701,0.0011146087,0.000044864275,0.00007189975,0.000010099223,0.0009318715,0.0000021971466],"about_ca_topic_score_codex":0.694654,"about_ca_topic_score_gemma":0.8141585,"teacher_disagreement_score":0.305346,"about_ca_system_score_codex":0.0027477175,"about_ca_system_score_gemma":0.002155217,"threshold_uncertainty_score":0.61428845},"labels":[],"label_agreement":null},{"id":"W7053434749","doi":"","title":"YHTEISTYÖLLÄ MENESTYKSEEN : Case: RukaSki Oy","year":2010,"lang":"fi","type":"other","venue":"Theseus (Ammattikorkeakoulujen)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"","score_opus":0.019177812387926787,"score_gpt":0.27596669089850684,"score_spread":0.2567888785105801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7053434749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34783328,0.008422896,0.003115876,0.30432487,0.0031302797,0.00019966392,0.00020430535,0.000095208045,0.33267367],"genre_scores_gemma":[0.830382,0.00456491,0.0012972595,0.040098898,0.0014640898,0.00011619019,0.00009950432,0.000094899166,0.12188234],"study_design_codex":"case_report","study_design_gemma":"qualitative","domain_scores_codex":[0.9986596,0.0003404258,0.000047610192,0.00018938199,0.00017662226,0.00058625836],"domain_scores_gemma":[0.998798,0.00030784804,0.00017166855,0.000040902407,0.00009399038,0.0005876209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007562393,0.0004934669,0.00041345682,0.0005466447,0.010441316,0.0029109532,0.0010367226,0.0054693706,0.018084101],"category_scores_gemma":[0.0034132996,0.00030297862,0.0004082863,0.000667153,0.0048151445,0.0038125773,0.0028950446,0.006771665,0.002151198],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017866286,0.0004700715,0.02921533,0.00030537185,0.000032411248,0.56344426,0.09754067,0.0005098303,0.0016364541,0.112844825,0.1579085,0.03591357],"study_design_scores_gemma":[0.000047367954,0.00016241574,0.0146361245,0.0010727096,0.00004863232,0.40269047,0.16638623,0.0010197263,0.0014680991,0.031899057,0.38043672,0.00013238585],"about_ca_topic_score_codex":0.02072803,"about_ca_topic_score_gemma":0.035532802,"teacher_disagreement_score":0.02072803,"about_ca_system_score_codex":0.0055703768,"about_ca_system_score_gemma":0.0047411593,"threshold_uncertainty_score":0.060497344},"labels":[],"label_agreement":null},{"id":"W7054023805","doi":"","title":"سلسلة رسائل – رسالة ثانية إلى أمريكا","year":2022,"lang":"ar","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Islam; Brother; State (computer science); Supporter","score_opus":0.006927908460157405,"score_gpt":0.1972181815340281,"score_spread":0.1902902730738707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7054023805","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011619837,0.0006681151,0.0017956147,0.0033890023,0.004233585,0.00019145361,0.0037803429,0.0029242146,0.9818556],"genre_scores_gemma":[0.0053322776,0.001019064,0.0016064612,0.0017060211,0.00075673446,0.00019416856,0.0033545562,0.0037179617,0.98231274],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987735,0.00013993944,0.00007714256,0.00014738436,0.0006519774,0.00021004511],"domain_scores_gemma":[0.99703145,0.00037412802,0.0001232506,0.00037959625,0.0015290189,0.0005625295],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001333236,0.0008330516,0.0005737653,0.0016396818,0.0028471749,0.009210131,0.0008477552,0.0015555456,0.8090587],"category_scores_gemma":[0.006622541,0.00056882633,0.0006524163,0.0021948353,0.0017165362,0.004332148,0.003412033,0.003044694,0.8421034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006539589,0.000025055051,0.00028170756,0.00023602533,0.000003885622,0.000134617,0.0006544943,0.000034347984,0.0009394857,0.0066038663,0.9310752,0.059945844],"study_design_scores_gemma":[0.0000058951878,0.000007702639,0.00037715625,0.00007621767,0.000001690487,0.00007498201,0.0004109404,0.000011370449,0.0003530068,0.00044466002,0.99822885,0.00000767905],"about_ca_topic_score_codex":0.004071054,"about_ca_topic_score_gemma":0.007070086,"teacher_disagreement_score":0.19094127,"about_ca_system_score_codex":0.0017087205,"about_ca_system_score_gemma":0.002479126,"threshold_uncertainty_score":0.27235454},"labels":[],"label_agreement":null},{"id":"W7054644010","doi":"","title":"Ama lurraren zaindari lumadunak: herri indigenak nazioartean","year":2012,"lang":"eu","type":"book","venue":"Inguma (Udako Euskal Unibertsitatea)","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"FP7 International Cooperation; Yale University; Memorial University of Newfoundland; Brown University; Svenska Forskningsrådet Formas; Universidad de Deusto; Carleton University","keywords":"Identification (biology); Work (physics); Context (archaeology)","score_opus":0.022183885724370495,"score_gpt":0.25860473705674564,"score_spread":0.23642085133237514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7054644010","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022622547,0.30494884,0.001631733,0.010149625,0.01403843,0.000027502885,0.00018517795,0.00019644924,0.66656],"genre_scores_gemma":[0.009374859,0.050506007,0.0011210386,0.0014280966,0.0012963816,0.000026705122,0.00009579501,0.00019266695,0.93595845],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998467,0.000017712311,0.000007528012,0.00003268778,0.00006986847,0.000025575877],"domain_scores_gemma":[0.99991393,0.000021459682,0.000008371624,0.000006871739,0.00003223606,0.000017244902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021635955,0.0007420138,0.00041248385,0.0010063829,0.0015121894,0.0032977753,0.00039103325,0.0010789206,0.030835204],"category_scores_gemma":[0.00040564183,0.00021152325,0.00018751454,0.0013778894,0.0008089627,0.002349298,0.0012059686,0.0020713175,0.015250276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008961379,0.000049068498,0.00027819828,0.0005283557,0.000007348018,0.00023223864,0.0016444371,0.0001452686,0.0012033167,0.0923092,0.5523796,0.3511334],"study_design_scores_gemma":[0.0000015300598,0.0000051002094,0.00018737819,0.00010205653,0.0000018972694,0.000102729435,0.0001387773,0.000013557189,0.00010229351,0.001516319,0.9978259,0.0000023945543],"about_ca_topic_score_codex":0.0032338845,"about_ca_topic_score_gemma":0.012134246,"teacher_disagreement_score":0.030835204,"about_ca_system_score_codex":0.0014032123,"about_ca_system_score_gemma":0.0015792075,"threshold_uncertainty_score":0.10315406},"labels":[],"label_agreement":null},{"id":"W7091295907","doi":"10.1016/j.est.2025.118860","title":"Correlation-aware kernel selection for multi-scale feature fusion of convolutional neural networks in multivariate and multi-step time series forecasting: Application to Li-ion battery state of health forecasting","year":2025,"lang":"en","type":"article","venue":"Journal of Energy Storage","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Series (stratigraphy); Feature selection; Selection (genetic algorithm); Convolutional neural network; Multivariate statistics; Time series; Kernel (algebra); Pattern recognition (psychology)","score_opus":0.022670298694006788,"score_gpt":0.2770959946352156,"score_spread":0.25442569594120884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7091295907","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13755073,0.0005947149,0.85954213,0.00017531947,0.00006306765,0.000039326213,0.000091108544,0.0009674806,0.00097605615],"genre_scores_gemma":[0.9194801,0.00023098731,0.07886886,0.000044973276,0.00002241706,0.00003488794,0.00014220012,0.0000363963,0.0011391962],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985087,0.000025024172,0.000012635109,0.000043505508,0.000041260522,0.000026729322],"domain_scores_gemma":[0.9997125,0.000093479655,0.000040105188,0.000041837877,0.00009854219,0.000013455403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064095075,0.000590216,0.00044145403,0.00038025013,0.00021211093,0.00035469662,0.0005317947,0.00042619652,0.0004656503],"category_scores_gemma":[0.0012028385,0.0002384826,0.0006233803,0.00053576776,0.00020710439,0.000579467,0.0004383077,0.0006221223,0.00017250724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019340371,0.00015261534,0.003760163,0.000056934765,0.00011790781,0.00016175491,0.0000806422,0.632653,0.03009825,0.0017880244,0.0013582363,0.32957906],"study_design_scores_gemma":[0.0000014308847,0.00001037,0.00046752158,0.0000013651538,0.00000536646,0.000007592529,0.000002892347,0.9967624,0.0024395026,0.00016879602,0.0001294904,0.000003311137],"about_ca_topic_score_codex":0.008469639,"about_ca_topic_score_gemma":0.0071920957,"teacher_disagreement_score":0.008469639,"about_ca_system_score_codex":0.00046682425,"about_ca_system_score_gemma":0.00055418693,"threshold_uncertainty_score":0.016840696},"labels":[],"label_agreement":null},{"id":"W7099275781","doi":"","title":"Uncertainty Discounting for Land-Based Carbon Sequestration&amp;quot; Submitted to Canadian","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Carbon sequestration; Carbon offset; Discounting; Soil carbon; Carbon price; Climate change; Kyoto Protocol; Carbon fibers; Atmospheric carbon cycle","score_opus":0.023676152197923874,"score_gpt":0.28329627325732565,"score_spread":0.2596201210594018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099275781","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030335423,0.008642875,0.19021465,0.034516633,0.0022366531,0.0006850809,0.007578242,0.0007691421,0.72502136],"genre_scores_gemma":[0.640661,0.0067529962,0.053746756,0.0014372311,0.0012470997,0.00048638912,0.00189325,0.00075217383,0.29302317],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976775,0.0006718173,0.00015599788,0.00041631542,0.00085091696,0.00022739504],"domain_scores_gemma":[0.992274,0.0046627913,0.0003774263,0.0005317812,0.0018820129,0.0002720504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047664945,0.0006590764,0.0009953708,0.0013215875,0.0024429963,0.0073841102,0.0012698215,0.0035270199,0.11808291],"category_scores_gemma":[0.021105161,0.0006870253,0.0017157431,0.0019871357,0.002178582,0.0038073235,0.0021981315,0.0035536233,0.009281732],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028208952,0.00004447882,0.0026028366,0.00028781747,0.000047651138,0.00041213955,0.0004241894,0.075342946,0.0006840839,0.74072194,0.07359559,0.105554186],"study_design_scores_gemma":[0.00006999592,0.00008221533,0.0031647754,0.00049772736,0.00006365972,0.00023694123,0.00063521817,0.21307144,0.0008843231,0.5003901,0.2807578,0.00014578723],"about_ca_topic_score_codex":0.12780635,"about_ca_topic_score_gemma":0.116475366,"teacher_disagreement_score":0.87219363,"about_ca_system_score_codex":0.017779274,"about_ca_system_score_gemma":0.008230588,"threshold_uncertainty_score":0.39502668},"labels":[],"label_agreement":null},{"id":"W7099288210","doi":"","title":"Correspondence","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hybrid; Sympatric speciation; Ecological niche; Sympatry; Habitat; Biodiversity; Abundance (ecology); Lineage (genetic)","score_opus":0.021908067979232056,"score_gpt":0.2786884616738992,"score_spread":0.25678039369466715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099288210","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0059600645,0.0031499646,0.0046896795,0.0088872695,0.010999287,0.000434635,0.0059899115,0.0015789776,0.9583101],"genre_scores_gemma":[0.033132862,0.0018817347,0.0021233018,0.0035834562,0.0013229966,0.0001815582,0.004527123,0.00055590936,0.9526912],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983278,0.00017867622,0.00011719392,0.00064279995,0.0004523745,0.00028109795],"domain_scores_gemma":[0.9976059,0.00034454654,0.00012569326,0.00031278952,0.00079724885,0.0008137156],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007601648,0.0011961095,0.0010542169,0.0013444538,0.002358432,0.0037088066,0.0018694797,0.0033689877,0.82405746],"category_scores_gemma":[0.003163903,0.00039153587,0.0005721759,0.001003403,0.0008086613,0.0018606172,0.0025880986,0.0015631217,0.64240295],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050096505,0.0002646887,0.0043023224,0.001081138,0.0000353292,0.0024669573,0.0005183806,0.0003857351,0.0036053336,0.016053615,0.5154886,0.45529687],"study_design_scores_gemma":[0.000025842091,0.000055421675,0.0015070584,0.00013092857,0.000009156327,0.0010163519,0.00019951051,0.00016426585,0.0004932527,0.0024196773,0.99396557,0.000013013417],"about_ca_topic_score_codex":0.0013895261,"about_ca_topic_score_gemma":0.00243667,"teacher_disagreement_score":0.17594254,"about_ca_system_score_codex":0.0014024015,"about_ca_system_score_gemma":0.0021422775,"threshold_uncertainty_score":0.2509606},"labels":[],"label_agreement":null},{"id":"W7102719128","doi":"10.1007/978-981-95-0441-1_24","title":"Development of Dataset to Diagnose Electric Vehicle Battery Faults Using Deep Learning Techniques","year":2025,"lang":"en","type":"book-chapter","venue":"Green energy and technology","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Battery (electricity); Electric vehicle; Deep learning; Fault (geology); Electric-vehicle battery; Fault detection and isolation; MATLAB","score_opus":0.013382147015676157,"score_gpt":0.24987748645199234,"score_spread":0.23649533943631618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7102719128","genre_codex":"dataset","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19652966,0.0007173452,0.080797695,0.00083493075,0.00093240925,0.0009895022,0.6649464,0.03838135,0.015870713],"genre_scores_gemma":[0.12364639,0.00021931854,0.051385775,0.00019962322,0.000060895,0.00054029224,0.8149928,0.00045718226,0.008497724],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997516,0.000020543548,0.00002533115,0.0000742899,0.0000875228,0.000040626026],"domain_scores_gemma":[0.9993026,0.00008115768,0.000046377925,0.0001792788,0.00032370235,0.00006696879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003236015,0.00085585174,0.00039488287,0.001412719,0.00031414043,0.00043325365,0.0011024248,0.0007213813,0.005246573],"category_scores_gemma":[0.0012151465,0.00025750362,0.000492374,0.0008661754,0.00018198359,0.0007078093,0.0005293821,0.00089621195,0.004653078],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000908297,0.001434684,0.031078046,0.00095059257,0.00025963984,0.00054261304,0.00013338204,0.0652747,0.037583686,0.0025328738,0.53070694,0.3285946],"study_design_scores_gemma":[0.0006864591,0.0011155499,0.07575424,0.0002550675,0.00019341752,0.0009948369,0.00049907895,0.4725413,0.14949188,0.00887928,0.28935635,0.00023253483],"about_ca_topic_score_codex":0.014793731,"about_ca_topic_score_gemma":0.023234446,"teacher_disagreement_score":0.014793731,"about_ca_system_score_codex":0.0005453286,"about_ca_system_score_gemma":0.0008831207,"threshold_uncertainty_score":0.02941525},"labels":[],"label_agreement":null},{"id":"W7116308898","doi":"10.1109/icrera66237.2025.11283992","title":"Behavioral Aging Modeling and Real-Time Parameters Estimation of Lithium Iron Phosphate Battery in a Hydrogen Production System","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Battery (electricity); Lithium iron phosphate; Kalman filter; State of charge; Extended Kalman filter; Lithium battery; Control theory (sociology); Lithium (medication)","score_opus":0.017417504553454716,"score_gpt":0.28102947533464767,"score_spread":0.263611970781193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116308898","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4480701,0.0004883735,0.5386646,0.00024442264,0.000054718217,0.00012393364,0.00037431344,0.0012030365,0.0107764695],"genre_scores_gemma":[0.9961739,0.00010418923,0.0023166924,0.000012626119,0.0000050709714,0.000044137036,0.00006694413,0.000013633744,0.0012627637],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998828,0.000025431471,0.000008807408,0.000030162599,0.000033964636,0.000018745252],"domain_scores_gemma":[0.9998416,0.000056286095,0.000028293629,0.000015030761,0.00005276724,0.000005985236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021894445,0.00052672427,0.000436676,0.00031734386,0.00027595734,0.00045794717,0.00065616955,0.00052471936,0.0010090749],"category_scores_gemma":[0.0004721651,0.00018208966,0.00043294733,0.00018205422,0.00025902313,0.00064229884,0.0003130074,0.00041629738,0.0002073241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009173999,0.000037687412,0.0022394087,0.0000687283,0.000029243947,0.000177155,0.000078589044,0.97733873,0.0071583726,0.00090664485,0.00021902297,0.011654648],"study_design_scores_gemma":[0.0000029209011,0.000028859646,0.0005270389,0.0000021253536,0.000008759801,0.000018435769,0.000008415898,0.9983236,0.0007896884,0.00015243489,0.00013453756,0.000003229097],"about_ca_topic_score_codex":0.011760751,"about_ca_topic_score_gemma":0.005909122,"teacher_disagreement_score":0.011760751,"about_ca_system_score_codex":0.00047764686,"about_ca_system_score_gemma":0.000390055,"threshold_uncertainty_score":0.023384571},"labels":[],"label_agreement":null},{"id":"W7116654282","doi":"10.1016/j.ifacol.2025.12.358","title":"Statistically Refined Hysteresis Modeling in High-Nickel-Ternary-Cathode Cells","year":2025,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Chrysler (Canada); University of Windsor","funders":"Mitacs","keywords":"Hysteresis; Thévenin's theorem; Control theory (sociology); Constant (computer programming); Equivalent circuit; Variable (mathematics); Voltage; Time constant","score_opus":0.02009289848777377,"score_gpt":0.27737835433879576,"score_spread":0.25728545585102197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116654282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78966796,0.00024006494,0.2059872,0.00008536342,0.00002151449,0.00004808025,0.00025169557,0.0003510748,0.0033470076],"genre_scores_gemma":[0.99689746,0.000044887205,0.0025471488,0.0000058566766,0.0000022251327,0.0000125477745,0.0000464001,0.00000777402,0.00043563536],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999894,0.000019941275,0.0000069635385,0.000022112506,0.000040132363,0.000016787082],"domain_scores_gemma":[0.99970883,0.00014382521,0.000034040502,0.000048122416,0.00005701483,0.00000814054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040572515,0.00021017747,0.00027978758,0.00017353057,0.00013446552,0.0003459743,0.00052070955,0.0002489549,0.0005666372],"category_scores_gemma":[0.0009539075,0.0000799836,0.00028129396,0.00020747124,0.00023543756,0.0003603349,0.00021199751,0.00030777595,0.00007804872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007701186,0.00004212182,0.0035776529,0.00003669336,0.0000146642415,0.00007116369,0.00006302271,0.9697333,0.013539406,0.0020745944,0.00013245229,0.010637933],"study_design_scores_gemma":[0.000001922667,0.000020462223,0.0009935233,0.0000010219877,0.0000023162083,0.000008084825,0.0000066828457,0.9954873,0.0029953865,0.00037459008,0.00010549925,0.0000032322414],"about_ca_topic_score_codex":0.0067542987,"about_ca_topic_score_gemma":0.0048322272,"teacher_disagreement_score":0.0067542987,"about_ca_system_score_codex":0.0005032123,"about_ca_system_score_gemma":0.000482587,"threshold_uncertainty_score":0.013429999},"labels":[],"label_agreement":null},{"id":"W7116759719","doi":"10.3390/en19010027","title":"Lithium-Ion Battery Open-Circuit Voltage Analysis for Extreme Temperature Applications","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Voltage; Battery (electricity); Cutoff; Open-circuit voltage; State of charge; Range (aeronautics); Consistency (knowledge bases); Polarization (electrochemistry)","score_opus":0.028271849087031207,"score_gpt":0.28796233833021173,"score_spread":0.2596904892431805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116759719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5364593,0.0011209047,0.4465924,0.00017931822,0.000105799874,0.00008632425,0.0011141052,0.0041913697,0.010150465],"genre_scores_gemma":[0.97751766,0.00026704083,0.019997405,0.000034297304,0.000014496145,0.00004604177,0.00039123246,0.00013022266,0.0016015447],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99984,0.000012631718,0.000008128062,0.000023927736,0.00010137832,0.00001380019],"domain_scores_gemma":[0.99970657,0.0000512489,0.00004074455,0.000047946407,0.00014399672,0.000009443602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018893395,0.00038948335,0.00024047957,0.0006452986,0.00021728179,0.0004167042,0.00055381336,0.00029482692,0.0016414977],"category_scores_gemma":[0.00085317745,0.00011956848,0.00022158555,0.00053053355,0.00015054329,0.00064024865,0.000402248,0.0003271929,0.0005453892],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041391896,0.00010236852,0.017889008,0.00040787866,0.00006064753,0.00047078068,0.0003379273,0.08078756,0.6086482,0.0027883009,0.003900682,0.28419274],"study_design_scores_gemma":[0.000012742043,0.000301122,0.02175307,0.000051315135,0.0000393041,0.00060149754,0.00021040688,0.5271055,0.43733266,0.0033416501,0.009176703,0.000074113996],"about_ca_topic_score_codex":0.0008244248,"about_ca_topic_score_gemma":0.0014688161,"teacher_disagreement_score":0.0016414977,"about_ca_system_score_codex":0.00024941724,"about_ca_system_score_gemma":0.00025565055,"threshold_uncertainty_score":0.005491376},"labels":[],"label_agreement":null},{"id":"W7117248570","doi":"10.18280/jesa.581114","title":"Systematic Identification of Key Prognostic Features for Early-Stage Lithium-Ion Battery Degradation Prediction","year":2025,"lang":"","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Lembaga Pengelola Dana Pendidikan","keywords":"Key (lock); Identification (biology); Degradation (telecommunications); Battery (electricity)","score_opus":0.017491519322791586,"score_gpt":0.2769919643148568,"score_spread":0.2595004449920652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117248570","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78889304,0.0018459349,0.20234255,0.00037198424,0.00017155007,0.0001700147,0.0018298402,0.002058015,0.0023170626],"genre_scores_gemma":[0.974802,0.00027963627,0.021689449,0.000041357267,0.000027313909,0.00009255293,0.0022790479,0.000047416706,0.00074113696],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998211,0.000026607722,0.000018319879,0.00004429838,0.00005315805,0.000036490943],"domain_scores_gemma":[0.9993412,0.00022085794,0.00007884447,0.00006268428,0.00026389307,0.00003255866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072772405,0.0012709631,0.00070881675,0.0008816931,0.00026875382,0.00060067174,0.0005186385,0.0004070289,0.00086804305],"category_scores_gemma":[0.0027619188,0.00018362762,0.00058115367,0.00057033554,0.00023024138,0.00091428787,0.00058319984,0.0007575387,0.00041974834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009655953,0.0005454958,0.045815937,0.00034500717,0.00017082531,0.0003246509,0.00018404066,0.33039472,0.042621896,0.00085364043,0.005861557,0.57191664],"study_design_scores_gemma":[0.000022895265,0.0003912345,0.018788025,0.00005099184,0.00010495786,0.00008770343,0.000089676636,0.95623034,0.021690752,0.0010518412,0.0014568059,0.00003473013],"about_ca_topic_score_codex":0.0041675856,"about_ca_topic_score_gemma":0.004095481,"teacher_disagreement_score":0.0041675856,"about_ca_system_score_codex":0.0003250718,"about_ca_system_score_gemma":0.0010139206,"threshold_uncertainty_score":0.008286655},"labels":[],"label_agreement":null},{"id":"W7117253585","doi":"10.2139/ssrn.5964379","title":"A 3D Electrochemical-Thermal Coupled Model for Pouch-Type Lithium-ion Batteries with Counter-Tab Configuration","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Robustness (evolution); Thermal; Work (physics); Temperature measurement; Energy storage; Range (aeronautics); Thermal management of electronic devices and systems; Temperature gradient","score_opus":0.01263506790900372,"score_gpt":0.26754380659729227,"score_spread":0.25490873868828856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117253585","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.102148384,0.0043524606,0.66900903,0.0026741922,0.001163664,0.00024213207,0.0031646318,0.0010960958,0.21614937],"genre_scores_gemma":[0.8751997,0.0023804223,0.03432788,0.0008776882,0.00023166307,0.0007187488,0.0012797476,0.00030307545,0.08468107],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999828,0.00003967736,0.00001083383,0.000041554402,0.000055152264,0.000024717752],"domain_scores_gemma":[0.99978036,0.00006668011,0.00002159903,0.000032470183,0.00007317541,0.000025749503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028759375,0.0008386245,0.0013470434,0.0006201373,0.00091770466,0.002277944,0.0025944025,0.0039025613,0.01039779],"category_scores_gemma":[0.00069826434,0.00067077583,0.0014772683,0.0010339455,0.0011833074,0.0017203335,0.0010945143,0.0011879846,0.0018387667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064517284,0.000045355926,0.0003522136,0.00014310973,0.000036958812,0.00019332411,0.000064053675,0.9376742,0.004041549,0.052924316,0.0013345815,0.0031257905],"study_design_scores_gemma":[0.000013640074,0.000013026005,0.000095811934,0.000009615386,0.000012085427,0.000031265947,0.000014926073,0.99073255,0.00037488574,0.0068834135,0.0018054454,0.000013374772],"about_ca_topic_score_codex":0.0074816323,"about_ca_topic_score_gemma":0.006222522,"teacher_disagreement_score":0.01039779,"about_ca_system_score_codex":0.0010955053,"about_ca_system_score_gemma":0.0012484334,"threshold_uncertainty_score":0.03478408},"labels":[],"label_agreement":null},{"id":"W7117367618","doi":"10.2139/ssrn.5976040","title":"QLoRA-Enhanced Prompt-Driven DeepSeek Large Language Model for State of Charge Estimation of Containerized Lithium-Ion Battery Energy Storage Systems","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"State of charge; Estimator; Robustness (evolution); Generalization; Energy storage; State estimator; Stability (learning theory); Computer data storage","score_opus":0.010600224522950069,"score_gpt":0.27268920970773725,"score_spread":0.2620889851847872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117367618","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1583853,0.0027260063,0.71656275,0.0018895905,0.0008371512,0.00019857081,0.027615,0.08646479,0.0053208866],"genre_scores_gemma":[0.7685592,0.00049028243,0.17223324,0.00084966695,0.0002690785,0.00039948383,0.04394015,0.002740604,0.01051828],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996803,0.000088331995,0.000016806398,0.000103674356,0.00005967871,0.000051168387],"domain_scores_gemma":[0.99937433,0.00036582004,0.00003123086,0.00008156343,0.000111922454,0.00003519809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007282381,0.0011322739,0.0009692624,0.00048922206,0.00040284454,0.0009752347,0.0015066457,0.0013034553,0.0064449264],"category_scores_gemma":[0.0029067516,0.00051648833,0.0009591431,0.0005065398,0.00029539107,0.0016976731,0.0011335306,0.0020938173,0.003758075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015853668,0.00053107366,0.005137789,0.00054768956,0.0004370076,0.0005114111,0.00018836746,0.6041707,0.01965642,0.008983757,0.07821116,0.28003934],"study_design_scores_gemma":[0.000028287104,0.000022842063,0.00018555038,0.0000048142338,0.000010013973,0.000012937855,0.000008986403,0.9951509,0.0015586511,0.0020655852,0.0009403805,0.000011048639],"about_ca_topic_score_codex":0.018179353,"about_ca_topic_score_gemma":0.03436157,"teacher_disagreement_score":0.018179353,"about_ca_system_score_codex":0.00061319774,"about_ca_system_score_gemma":0.0016030427,"threshold_uncertainty_score":0.036147058},"labels":[],"label_agreement":null},{"id":"W7117466105","doi":"10.1109/tte.2025.3649230","title":"Cloud-Edge Deployed Physics-Guided Bi-LSTM Framework for Real-Time Battery Core Temperature Estimation and Thermal Safety Control","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mean squared error; Margin (machine learning); Visualization; Latency (audio); Temperature measurement; Temperature control; Battery (electricity); Thermal","score_opus":0.014837469695847575,"score_gpt":0.28454715562270777,"score_spread":0.2697096859268602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117466105","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05890412,0.0014681385,0.9079073,0.00041892333,0.0002618412,0.00007606414,0.0012475209,0.024181299,0.0055348375],"genre_scores_gemma":[0.86772346,0.0005928003,0.12138666,0.00044040155,0.00006647585,0.00017741237,0.0025696496,0.0006870999,0.006356036],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999113,0.000007365836,0.0000040229256,0.000031991953,0.000028678494,0.000016569971],"domain_scores_gemma":[0.9999348,0.0000128106885,0.000006969583,0.000010853343,0.000027422126,0.0000072434186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015339877,0.0008894713,0.0004204051,0.0002525267,0.00019528458,0.00045780616,0.0011806907,0.0004435348,0.0025800706],"category_scores_gemma":[0.0004893554,0.000226766,0.00036651705,0.0002606977,0.00022343811,0.0008446882,0.00065085094,0.00068579195,0.0010560382],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056478276,0.00027943982,0.0022556467,0.0003397686,0.00013093701,0.00031736688,0.00012703662,0.56792957,0.05956472,0.004301516,0.021783374,0.3424058],"study_design_scores_gemma":[0.000011243425,0.00002363359,0.00024515815,0.0000060793177,0.000010031218,0.000027326903,0.0000095583555,0.9894693,0.0068158964,0.0014709298,0.0019037181,0.0000071093336],"about_ca_topic_score_codex":0.009715521,"about_ca_topic_score_gemma":0.01710676,"teacher_disagreement_score":0.009715521,"about_ca_system_score_codex":0.0004787623,"about_ca_system_score_gemma":0.00095715804,"threshold_uncertainty_score":0.019317925},"labels":[],"label_agreement":null},{"id":"W7117736979","doi":"10.1016/j.jpowsour.2025.239221","title":"Near-field quantification of hydrogen fluoride emissions during Li-ion battery thermal runaway using laser absorption spectroscopy","year":2025,"lang":"en","type":"article","venue":"Journal of Power Sources","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Clean Combustion Research Center, King Abdullah University of Science and Technology","keywords":"Thermal runaway; Hydrogen fluoride; Hydrogen; Analytical Chemistry (journal); Battery (electricity); Lithium fluoride; Anode; Lithium (medication); Manganese","score_opus":0.012502031740254977,"score_gpt":0.27875194900363953,"score_spread":0.26624991726338454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117736979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99419135,0.00024583197,0.0039700824,0.000060092578,0.000018292834,0.000012905474,0.00018593483,0.000099810226,0.0012156917],"genre_scores_gemma":[0.9969709,0.00011164733,0.0013682873,0.000028611617,0.00000539544,0.000016154452,0.00010808255,0.000010480491,0.0013805907],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999261,0.0000048643687,0.0000018466092,0.000021518144,0.000027843573,0.000017894547],"domain_scores_gemma":[0.99991333,0.000027839766,0.000012860589,0.000005955215,0.00003294377,0.0000070684728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010919691,0.00020914934,0.00015259684,0.00023212953,0.00040778008,0.00020383549,0.00029071188,0.00039776007,0.001731598],"category_scores_gemma":[0.00016882893,0.00009563963,0.00014297615,0.000150773,0.00027010165,0.0003697572,0.00014824643,0.00035127648,0.0002559879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003372027,0.000032583837,0.0013784814,0.000029661418,0.000005672102,0.000054273918,0.00008811685,0.00013590437,0.99453676,0.00004783247,0.000093377195,0.0032601452],"study_design_scores_gemma":[0.0000070962665,0.00018373913,0.00949653,0.000004947628,0.0000080176,0.00007668896,0.00015820736,0.0017240567,0.98768264,0.00004780563,0.00060228887,0.00000799596],"about_ca_topic_score_codex":0.0019672913,"about_ca_topic_score_gemma":0.0040515857,"teacher_disagreement_score":0.0019672913,"about_ca_system_score_codex":0.00029968977,"about_ca_system_score_gemma":0.00017516839,"threshold_uncertainty_score":0.0057927966},"labels":[],"label_agreement":null},{"id":"W7117737314","doi":"10.1109/tte.2025.3649812","title":"Robust Sensor Fault Diagnosis for Lithium-Ion Battery Systems Using an Electro-Thermal Model","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Robustness (evolution); Fault detection and isolation; Fault (geology); Kalman filter; Voltage; Control theory (sociology); Battery (electricity); Fault indicator","score_opus":0.04850803694594051,"score_gpt":0.2934700331797323,"score_spread":0.24496199623379178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117737314","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.084558465,0.0006396835,0.91179127,0.00015340665,0.00003985524,0.000035882258,0.0000642313,0.00091340556,0.0018038517],"genre_scores_gemma":[0.98748976,0.00019398434,0.01132096,0.00002166413,0.000008424327,0.000033062122,0.000056713678,0.000015544068,0.0008598166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998024,0.00004060384,0.000014427505,0.000052386964,0.00007036984,0.00001989299],"domain_scores_gemma":[0.99976486,0.000100131234,0.000052182804,0.00002257184,0.00005457744,0.0000056185218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025823578,0.0006416264,0.0004895964,0.00036306152,0.0002654524,0.0005510133,0.00051955436,0.0005545288,0.00070081966],"category_scores_gemma":[0.0010149876,0.00022033036,0.00046251275,0.00019771197,0.00027777159,0.0007196722,0.00032892247,0.00051871786,0.00016562908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000103249884,0.000032502496,0.0009679063,0.00007367208,0.000024944116,0.00007259952,0.00005530322,0.9602652,0.009169461,0.0013475541,0.00025686336,0.027630787],"study_design_scores_gemma":[0.000002011505,0.000013678783,0.00015429631,0.0000017078621,0.0000029486425,0.00000822466,0.000003253861,0.9985815,0.00092685653,0.00023270711,0.00007023612,0.0000025670195],"about_ca_topic_score_codex":0.009446225,"about_ca_topic_score_gemma":0.006657491,"teacher_disagreement_score":0.009446225,"about_ca_system_score_codex":0.00060649496,"about_ca_system_score_gemma":0.000528105,"threshold_uncertainty_score":0.018782496},"labels":[],"label_agreement":null},{"id":"W7118024868","doi":"10.1109/isgtmiddleeast65737.2025.11314471","title":"State of Charge Estimation in Li-ion Batteries Using a Robust Nonlinear Observer with Low-Cost Sensors","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Control theory (sociology); Observer (physics); State observer; State of charge; Observational error; Nonlinear system; Battery (electricity); Robustness (evolution)","score_opus":0.02686103288604109,"score_gpt":0.28568061769479247,"score_spread":0.2588195848087514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7118024868","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034267258,0.00038343083,0.9630745,0.00009619783,0.00005325291,0.000034082375,0.000020090796,0.00057117024,0.0015000275],"genre_scores_gemma":[0.93181574,0.00028837973,0.065602034,0.000056168476,0.000031410484,0.000093902534,0.00005551224,0.000026150105,0.002030594],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99964666,0.000064244734,0.000036442845,0.00008066746,0.00014844134,0.000023451312],"domain_scores_gemma":[0.9996387,0.00010869522,0.00008802441,0.000044521938,0.00010936329,0.0000106360785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052877894,0.00054038485,0.00067966897,0.00024499008,0.0002511947,0.0006071332,0.0007151156,0.00054070173,0.0005484777],"category_scores_gemma":[0.0010381503,0.00026981748,0.00042422855,0.00017815559,0.00033542112,0.0010356106,0.0005681528,0.00051725644,0.00019845838],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050335133,0.00016900676,0.0036740883,0.0006611263,0.00013189438,0.00031782562,0.00044234804,0.56081915,0.17356977,0.0068543935,0.0014160847,0.251441],"study_design_scores_gemma":[0.000014124528,0.00011159264,0.00041240777,0.000008173745,0.000014507855,0.000025755018,0.000010420427,0.9877685,0.010616092,0.00033595783,0.0006704578,0.00001200969],"about_ca_topic_score_codex":0.0025788036,"about_ca_topic_score_gemma":0.0024998768,"teacher_disagreement_score":0.0025788036,"about_ca_system_score_codex":0.00048367222,"about_ca_system_score_gemma":0.0005141277,"threshold_uncertainty_score":0.005127549},"labels":[],"label_agreement":null},{"id":"W7124491832","doi":"10.52202/083089-0051","title":"Battery Pack Lifetime Testing Campaigns for Microsatellites","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Battery (electricity); Microsatellite; Reliability (semiconductor); Noise (video); Calibration","score_opus":0.02966198323459144,"score_gpt":0.30142538878042197,"score_spread":0.2717634055458305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7124491832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9867405,0.00009853109,0.006976039,0.00010554253,0.000041498475,0.00014852702,0.00048108347,0.0003824078,0.0050257617],"genre_scores_gemma":[0.9835243,0.000088659996,0.0050245193,0.00012173057,0.000018983334,0.0001454815,0.000962236,0.00009878265,0.010015161],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99962115,0.000040058214,0.000018104032,0.00006339469,0.00018505426,0.00007215569],"domain_scores_gemma":[0.99858093,0.00017859117,0.00009851959,0.00011244317,0.00086669304,0.00016280291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082577876,0.00042617315,0.00030077403,0.0008657883,0.0010548377,0.0003743901,0.00061196234,0.00065161625,0.0034886952],"category_scores_gemma":[0.0015167348,0.00016465674,0.0003460929,0.00045499788,0.00024890862,0.00077160494,0.00057280366,0.00040978382,0.0013343043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012911371,0.0009188077,0.04875023,0.0003342411,0.00011089559,0.00077739026,0.0029745686,0.010733574,0.8159699,0.0010342932,0.006179302,0.110925645],"study_design_scores_gemma":[0.00019494187,0.024285479,0.12668647,0.000120254,0.00031747163,0.0012411121,0.002947429,0.036642216,0.76293474,0.001647091,0.0428322,0.00015061066],"about_ca_topic_score_codex":0.0035872092,"about_ca_topic_score_gemma":0.0062813926,"teacher_disagreement_score":0.0035872092,"about_ca_system_score_codex":0.00053749356,"about_ca_system_score_gemma":0.0005902349,"threshold_uncertainty_score":0.011670828},"labels":[],"label_agreement":null},{"id":"W7124869494","doi":"10.1109/sensors59705.2025.11331001","title":"Battery Core Temperature Sensing Using Electrochemical Impedance Spectroscopy and Data-Driven Regression: A Comparative Evaluation","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Battery (electricity); Dielectric spectroscopy; Electrical impedance; Measure (data warehouse); Component (thermodynamics); Core (optical fiber); Component analysis; Feature (linguistics)","score_opus":0.09208126973570294,"score_gpt":0.41801773941454323,"score_spread":0.32593646967884027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7124869494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55325973,0.007682707,0.42896223,0.00041742576,0.00021458414,0.00029010302,0.00073526124,0.002863479,0.0055743996],"genre_scores_gemma":[0.9241342,0.0022918542,0.070948176,0.0000614188,0.000069963164,0.00015736415,0.00085098326,0.00013349144,0.0013526061],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99860674,0.00046238067,0.00011187628,0.00023026453,0.0005380488,0.000050619612],"domain_scores_gemma":[0.9958702,0.0025321105,0.00020204994,0.00028220742,0.0010642264,0.000049294056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033871958,0.001098018,0.0011464679,0.0012788404,0.00016458752,0.0008607058,0.0009143949,0.00085781165,0.00072732504],"category_scores_gemma":[0.0083224345,0.00025156402,0.00078995974,0.0011139823,0.00021281104,0.001252635,0.00055105606,0.00045941843,0.00035615143],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026869988,0.0008271591,0.015771693,0.0017885134,0.0006810897,0.00025256487,0.00018468124,0.28507185,0.041788306,0.0016726612,0.0019953852,0.6472791],"study_design_scores_gemma":[0.000035235185,0.0009192423,0.0062584705,0.000034088145,0.00011450491,0.00014579167,0.000057946974,0.9667751,0.023625445,0.0003104112,0.0016860444,0.000037690996],"about_ca_topic_score_codex":0.0024047205,"about_ca_topic_score_gemma":0.002415204,"teacher_disagreement_score":0.0033871958,"about_ca_system_score_codex":0.0005396419,"about_ca_system_score_gemma":0.00037451938,"threshold_uncertainty_score":0.017913401},"labels":[],"label_agreement":null},{"id":"W7124932530","doi":"10.1109/sensors59705.2025.11330322","title":"Model-Free Sensor Fault Detection in Lithium-Ion Battery Packs Under Unknown Charging Conditions Using Sensor-to-Sensor Dynamics","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Memorial University of Newfoundland","funders":"","keywords":"Fault detection and isolation; Battery (electricity); Residual; Fault (geology); Condition monitoring","score_opus":0.026746048827500254,"score_gpt":0.3019546354020174,"score_spread":0.27520858657451713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7124932530","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12821816,0.0002841421,0.86868465,0.00018153522,0.000035559737,0.000040133695,0.000032737018,0.0011954617,0.0013276171],"genre_scores_gemma":[0.98275006,0.00008845251,0.016538758,0.000022245877,0.00000587532,0.000017167378,0.000028917519,0.000018648985,0.0005298544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998766,0.000023452456,0.000007901316,0.000029612887,0.000049948856,0.000012519671],"domain_scores_gemma":[0.9997003,0.0001359509,0.000069517366,0.000023572713,0.000060298684,0.000010461456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023047265,0.0005867836,0.00055024883,0.00022888718,0.0003017359,0.0004339443,0.00043636665,0.00043071515,0.0004219677],"category_scores_gemma":[0.0011117655,0.00025473087,0.00032016792,0.00012761758,0.0002935421,0.00079689204,0.00041971132,0.00044640535,0.00012027426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029712802,0.00007022108,0.0039148885,0.0001832086,0.000043242035,0.0002098897,0.00022031859,0.8486898,0.02444773,0.0025769903,0.00061040366,0.11873616],"study_design_scores_gemma":[0.0000045036595,0.000041136227,0.00035084723,0.0000032254113,0.000004185101,0.000031823864,0.000009251464,0.9959448,0.0030762374,0.0003898972,0.00014023868,0.0000037437342],"about_ca_topic_score_codex":0.002690872,"about_ca_topic_score_gemma":0.0027430071,"teacher_disagreement_score":0.002690872,"about_ca_system_score_codex":0.00036939062,"about_ca_system_score_gemma":0.00045378806,"threshold_uncertainty_score":0.0053503513},"labels":[],"label_agreement":null},{"id":"W7125267529","doi":"10.1109/sensors59705.2025.11331038","title":"State of Charge Estimation of Batteries Using Physics Guided Neural Network and Sensor Data","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Artificial neural network; State (computer science); Charge (physics); State of charge; Energy (signal processing)","score_opus":0.0656512112438846,"score_gpt":0.34318468039823485,"score_spread":0.2775334691543503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125267529","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48962876,0.0011520205,0.50127715,0.0003335137,0.0001264137,0.00005352406,0.0002830942,0.0007668321,0.0063787936],"genre_scores_gemma":[0.9908167,0.00014271744,0.0079649165,0.000021347709,0.000013780488,0.000014189576,0.00009199305,0.00001037064,0.00092388387],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999949,0.0000071927066,0.0000034384566,0.000014749554,0.000019146666,0.000006429074],"domain_scores_gemma":[0.9998568,0.000058051544,0.00002071831,0.000010733357,0.000048146252,0.0000054289794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001702655,0.00030734137,0.00028778295,0.00036059023,0.0001706834,0.00044662436,0.0003833212,0.00039349098,0.00056413485],"category_scores_gemma":[0.0008715172,0.00017647973,0.00022062825,0.0003795414,0.00017580825,0.0007454903,0.00025251033,0.00034273294,0.00013273934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017611615,0.00008669572,0.0047613173,0.000083221305,0.00005295238,0.00007283183,0.000038137332,0.90158933,0.011142594,0.0017349168,0.0007596586,0.07950226],"study_design_scores_gemma":[0.000001660079,0.000007436858,0.00077995314,0.0000018876323,0.0000027850213,0.00000655346,0.0000029260154,0.9970784,0.0013067414,0.0007250862,0.000084039144,0.0000025312074],"about_ca_topic_score_codex":0.0037159456,"about_ca_topic_score_gemma":0.0048066084,"teacher_disagreement_score":0.0037159456,"about_ca_system_score_codex":0.00039735192,"about_ca_system_score_gemma":0.00028545287,"threshold_uncertainty_score":0.0073885918},"labels":[],"label_agreement":null},{"id":"W7125814916","doi":"10.26634/jcir.13.1.22084","title":"Active cell balancing in battery management using AI algorithm","year":2025,"lang":"en","type":"article","venue":"i-manager s Journal on Circuits and Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Adaptability; Battery (electricity); Reinforcement learning; Context (archaeology); State of charge; Load balancing (electrical power); Key (lock); Battery pack","score_opus":0.014474795465881662,"score_gpt":0.2665938981978115,"score_spread":0.25211910273192983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7125814916","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023881407,0.0009587613,0.9619281,0.000291735,0.00009783255,0.00008522193,0.000028159388,0.00039259065,0.012336038],"genre_scores_gemma":[0.8761254,0.0006419287,0.116318524,0.0002731602,0.00009109054,0.0002278355,0.000071897986,0.00004748058,0.006202677],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983394,0.000037999565,0.000011151691,0.000036801826,0.000052534306,0.000027429114],"domain_scores_gemma":[0.999703,0.00014405718,0.000036606634,0.000014522532,0.000087170854,0.000014679418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004792963,0.00056308304,0.0006145115,0.00040209672,0.00045564587,0.0010922499,0.0010043924,0.0006897072,0.0023788637],"category_scores_gemma":[0.00085531856,0.00025214007,0.00037655278,0.00043711122,0.00047675532,0.00068662415,0.0005852311,0.0007214503,0.00043521507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058442063,0.000052585445,0.0006106756,0.00007633398,0.000041396757,0.000064729335,0.00008346615,0.91567075,0.003185424,0.00944253,0.0009734281,0.069740266],"study_design_scores_gemma":[0.0000064117403,0.000020533776,0.00004669997,0.00000448544,0.0000053140693,0.00001063075,0.000007457323,0.99757355,0.00030455753,0.0015139792,0.0005037171,0.000002596085],"about_ca_topic_score_codex":0.0047131456,"about_ca_topic_score_gemma":0.0035920644,"teacher_disagreement_score":0.0047131456,"about_ca_system_score_codex":0.00047705488,"about_ca_system_score_gemma":0.00068485114,"threshold_uncertainty_score":0.0093714},"labels":[],"label_agreement":null},{"id":"W7128635426","doi":"10.1109/icves65691.2025.11376570","title":"Machine Learning-Based SoC and RUL Estimation Applied to an Electric Bus Fleet","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Battery (electricity); Scalability; State of charge; Electric vehicle; Field (mathematics); Energy (signal processing); Battery capacity","score_opus":0.009204842173033098,"score_gpt":0.27688481545581245,"score_spread":0.26767997328277937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7128635426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.798286,0.00035927506,0.19696027,0.0001763766,0.00006341279,0.00005306555,0.00027262635,0.0010448608,0.0027841784],"genre_scores_gemma":[0.9962489,0.000038922422,0.0032390195,0.0000068087534,0.0000035095688,0.000008910013,0.000083032915,0.0000050613517,0.00036581708],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990356,0.000024448504,0.000008160409,0.000023864806,0.000021207486,0.000018759894],"domain_scores_gemma":[0.99964416,0.00017652515,0.000038311333,0.000027767104,0.0000942576,0.000019037825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038762888,0.0006297874,0.00042391103,0.0005014354,0.00020031616,0.00046904918,0.00027665068,0.0004453398,0.0006210826],"category_scores_gemma":[0.0012305095,0.00017287082,0.00032231727,0.00037237562,0.00017748111,0.0003034446,0.00025745673,0.0005155472,0.00014069218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085452906,0.000040260835,0.0031296723,0.00004132895,0.000019741765,0.000110418,0.000030410534,0.97411036,0.0020235367,0.00019818796,0.00017895931,0.020031683],"study_design_scores_gemma":[8.565047e-7,0.0000132992145,0.00051165285,0.0000012792759,0.000001218414,0.0000042296483,0.0000046924465,0.9990044,0.00037860218,0.00005019899,0.000027866154,0.000001643676],"about_ca_topic_score_codex":0.015628003,"about_ca_topic_score_gemma":0.011384764,"teacher_disagreement_score":0.015628003,"about_ca_system_score_codex":0.0003948759,"about_ca_system_score_gemma":0.00034558994,"threshold_uncertainty_score":0.031074107},"labels":[],"label_agreement":null},{"id":"W7128775935","doi":"10.1109/spec64875.2025.11376807","title":"Hybrid Battery Balancing Utilizing Temperature Control for Second Life Batteries","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Battery (electricity); Voltage; Temperature control; Process (computing); Control (management); Thermal management of electronic devices and systems; Load balancing (electrical power)","score_opus":0.010819026122694468,"score_gpt":0.26216490788262525,"score_spread":0.2513458817599308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7128775935","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14810926,0.002304433,0.82893753,0.00019979362,0.00029522937,0.00009982924,0.00005844095,0.001845967,0.01814957],"genre_scores_gemma":[0.9774934,0.00029836534,0.017305782,0.000054774282,0.000056306853,0.00003954303,0.000037240774,0.00004858706,0.0046660043],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998745,0.00001173358,0.000007148311,0.000031232605,0.00005571989,0.000019779725],"domain_scores_gemma":[0.9999287,0.000009507608,0.000012817284,0.000010142798,0.00003195994,0.000006869947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010894521,0.0003873862,0.0003329085,0.0003142207,0.00031224528,0.0005969933,0.00067141,0.00026066962,0.0014642543],"category_scores_gemma":[0.00014722793,0.00012883428,0.00022359921,0.00018641888,0.00019257514,0.00074579543,0.00049808726,0.00024106012,0.0005552309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043558286,0.00017596681,0.0015941721,0.0003395103,0.00006685637,0.00033240565,0.0003569945,0.07273119,0.5425515,0.0091344975,0.0027261083,0.36955526],"study_design_scores_gemma":[0.000049478193,0.00068288436,0.0020106004,0.000038287206,0.00005197499,0.00056052906,0.000105288054,0.74993324,0.21480192,0.004115399,0.027578495,0.000071863855],"about_ca_topic_score_codex":0.0004345576,"about_ca_topic_score_gemma":0.00073239446,"teacher_disagreement_score":0.0014642543,"about_ca_system_score_codex":0.00019528347,"about_ca_system_score_gemma":0.00014169088,"threshold_uncertainty_score":0.0048983693},"labels":[],"label_agreement":null},{"id":"W7130680858","doi":"10.1109/oncon68412.2025.11384423","title":"Stranded Energy Management in Li-Ion Batteries During Transportation","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Battery (electricity); Work (physics); Energy (signal processing); Energy management; Thermal energy; Hazard; Residual; Chemical energy","score_opus":0.008339462903242485,"score_gpt":0.2520113071256569,"score_spread":0.24367184422241442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7130680858","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18492207,0.0019843658,0.7971091,0.001054545,0.00009051036,0.00043402254,0.00021704625,0.0020465655,0.01214177],"genre_scores_gemma":[0.91877633,0.00083992747,0.07711752,0.0001153635,0.0000233809,0.00012045038,0.00016330915,0.00008758917,0.0027562785],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988306,0.00027952608,0.000120477576,0.0001703601,0.0004637716,0.0001352454],"domain_scores_gemma":[0.99872464,0.00035721928,0.00026060056,0.00014410916,0.00042494168,0.00008842758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018436576,0.00069331995,0.00048500532,0.0008900333,0.0006741664,0.0026297935,0.0016632646,0.0009112361,0.00086336426],"category_scores_gemma":[0.002935934,0.00029460105,0.0005080439,0.00046170002,0.00078063225,0.0027243749,0.0014726691,0.00048027665,0.00036445004],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004383559,0.00030421471,0.030335777,0.0006116032,0.00013113668,0.0010254233,0.0016275779,0.62329954,0.038782652,0.035527304,0.002441601,0.26547474],"study_design_scores_gemma":[0.000018591667,0.0003578491,0.0044292514,0.00026755652,0.000106432926,0.00039838252,0.0010260765,0.89982146,0.040654864,0.038694248,0.014127094,0.000098225435],"about_ca_topic_score_codex":0.0044049136,"about_ca_topic_score_gemma":0.0051426254,"teacher_disagreement_score":0.0044049136,"about_ca_system_score_codex":0.0012005148,"about_ca_system_score_gemma":0.0017896335,"threshold_uncertainty_score":0.009750307},"labels":[],"label_agreement":null},{"id":"W7130689459","doi":"10.1109/oncon68412.2025.11384166","title":"Uncertainty Quantification of Electrochemical Impedance Spectroscopy for Battery State of Health Estimation","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Interpretability; Battery (electricity); State of health; Electrical impedance; Reliability (semiconductor); Dielectric spectroscopy; Focused Impedance Measurement; Measurement uncertainty","score_opus":0.019878479010485985,"score_gpt":0.34752019955996427,"score_spread":0.32764172054947827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7130689459","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019169336,0.00061819056,0.9787365,0.00016967734,0.000028553617,0.000019845094,0.00013068516,0.00017053113,0.00095675024],"genre_scores_gemma":[0.90463257,0.0014567593,0.092268944,0.00013750182,0.00018606159,0.00011041692,0.00046629788,0.000075568,0.00066586817],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99781656,0.0006174298,0.0001303477,0.00031012678,0.0010244647,0.0001010371],"domain_scores_gemma":[0.9911861,0.006518331,0.0008511594,0.00059934164,0.00075490394,0.00009013926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003248351,0.0008486685,0.0008437531,0.0018939286,0.00034806345,0.0014941393,0.0010740714,0.00097429584,0.00050599093],"category_scores_gemma":[0.018554317,0.00039426165,0.00079953216,0.0012871872,0.00082725496,0.0018264905,0.0014914356,0.0011589538,0.00015061708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008046479,0.000056570014,0.0037985465,0.00014962346,0.00013421781,0.00016149605,0.000111089816,0.8870734,0.009737308,0.042678162,0.0007119114,0.055307154],"study_design_scores_gemma":[0.0000017118867,0.000015416475,0.000587926,0.000014690808,0.000011134803,0.000039741964,0.000011012585,0.9816049,0.0017369326,0.015601289,0.0003571889,0.00001803139],"about_ca_topic_score_codex":0.002143189,"about_ca_topic_score_gemma":0.0014101618,"teacher_disagreement_score":0.003248351,"about_ca_system_score_codex":0.00066481787,"about_ca_system_score_gemma":0.0008432548,"threshold_uncertainty_score":0.017179132},"labels":[],"label_agreement":null},{"id":"W7130703930","doi":"10.1109/computingcon64838.2025.11377335","title":"Battery Health Forecasting and Lifecycle Optimization Using Edge-AI and Federated Transfer Learning in EV Fleets","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Battery (electricity); Generalization; Transfer of learning; Raw data; Reliability (semiconductor); Enhanced Data Rates for GSM Evolution; Transfer (computing); Supervised learning","score_opus":0.03202649844990941,"score_gpt":0.3033690123554464,"score_spread":0.271342513905537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7130703930","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21230231,0.00030852426,0.7822261,0.00036247974,0.0000571723,0.00006123348,0.00013681232,0.0011699047,0.0033754862],"genre_scores_gemma":[0.98217094,0.000048498256,0.016731659,0.000068216454,0.000010890997,0.00002701016,0.00011331528,0.000017457425,0.00081200904],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996531,0.000075290125,0.000018379918,0.00011699259,0.00006840198,0.00006791318],"domain_scores_gemma":[0.99935156,0.0002558215,0.00007332625,0.00011382168,0.0001623703,0.000043019045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008656456,0.0005949008,0.00070315244,0.00043411995,0.0004456547,0.0008193194,0.0013044359,0.0007483146,0.00072974566],"category_scores_gemma":[0.0022675907,0.00024495108,0.00044287406,0.00044407675,0.00050656736,0.001703016,0.0012503053,0.0008764756,0.00019590544],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009819131,0.00009457837,0.0023094104,0.000019701214,0.000026835562,0.00006934159,0.00004708809,0.94007725,0.0015617163,0.001214481,0.0005333144,0.0539481],"study_design_scores_gemma":[0.0000021841222,0.000015212023,0.00019261653,0.00000125658,0.0000024835692,0.0000069822086,0.0000096012145,0.9978903,0.0004569441,0.0013364361,0.00008369447,0.000002359915],"about_ca_topic_score_codex":0.005791627,"about_ca_topic_score_gemma":0.004740743,"teacher_disagreement_score":0.005791627,"about_ca_system_score_codex":0.0007076531,"about_ca_system_score_gemma":0.0006815071,"threshold_uncertainty_score":0.011515856},"labels":[],"label_agreement":null},{"id":"W7130709998","doi":"10.1109/oncon68412.2025.11384413","title":"Understanding the Effect of Measurement Noise in Fast Pulse-Based Impedance Spectroscopy","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Electrical impedance; Noise (video); Spectral density; Gaussian noise; Discrete Fourier transform (general); Spectral density estimation; DC bias; Pulse (music); SIGNAL (programming language)","score_opus":0.043619694574794726,"score_gpt":0.3000339323179754,"score_spread":0.25641423774318073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7130709998","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062256783,0.0008179446,0.93461365,0.00032308634,0.00007752645,0.000035468376,0.00007435373,0.00047134704,0.0013298746],"genre_scores_gemma":[0.88917345,0.0015697132,0.10727547,0.00030437607,0.00006480031,0.00009945673,0.00021749074,0.00018030134,0.0011149388],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998808,0.00020430393,0.0000656671,0.00020817002,0.0006503276,0.0000634404],"domain_scores_gemma":[0.9957769,0.003173528,0.00030111836,0.00027726303,0.00044058077,0.000030521645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018150657,0.00055199914,0.00059439865,0.0004348313,0.0003036544,0.0007535535,0.0006990506,0.0010112663,0.0005997184],"category_scores_gemma":[0.011011701,0.00031948523,0.00027169316,0.00048202934,0.0007430497,0.00194866,0.0006985309,0.0010212322,0.00030504807],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005167712,0.00021854046,0.014563163,0.0011535081,0.000121173194,0.0010134587,0.0011037687,0.22537942,0.4584127,0.029138481,0.0013287887,0.2670503],"study_design_scores_gemma":[0.00001352521,0.00023751716,0.0070537864,0.000106913314,0.00004889184,0.0006206837,0.00014104861,0.8032771,0.17230564,0.012468418,0.0036525838,0.00007386371],"about_ca_topic_score_codex":0.0013267398,"about_ca_topic_score_gemma":0.0011713983,"teacher_disagreement_score":0.0018150657,"about_ca_system_score_codex":0.00047563686,"about_ca_system_score_gemma":0.00052676717,"threshold_uncertainty_score":0.00959909},"labels":[],"label_agreement":null},{"id":"W7130711166","doi":"10.1109/oncon68412.2025.11384222","title":"Improved Linear Estimation of Battery Open-Circuit Voltage and RC Model Parameters from Pulse-Relaxation Data","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Battery (electricity); Stability (learning theory); Nonlinear system; Voltage; Control theory (sociology); Estimation theory; State (computer science)","score_opus":0.059090179881652646,"score_gpt":0.32154701217586207,"score_spread":0.2624568322942094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7130711166","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01621291,0.00009513837,0.9816234,0.0000419969,0.000009375824,0.0000213306,0.00008173768,0.0010635281,0.0008505447],"genre_scores_gemma":[0.6478382,0.00039589405,0.34555054,0.000107057735,0.000024919518,0.00020509626,0.00081511366,0.00029198467,0.0047711898],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99976605,0.00004749524,0.000013069214,0.00006236954,0.00009433331,0.00001657063],"domain_scores_gemma":[0.99947613,0.00023523295,0.00006224659,0.00008247828,0.00013582465,0.000008147172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004314312,0.0007656165,0.00041144743,0.00034678532,0.00017232985,0.00048711483,0.00080724433,0.00051926676,0.0012598406],"category_scores_gemma":[0.0020540466,0.00033557945,0.00050163455,0.0003669114,0.00026778033,0.0011356312,0.00047431546,0.0008878194,0.00069635874],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012298829,0.00010950202,0.0016393871,0.00034026813,0.000064339045,0.00010344589,0.00020254997,0.67349887,0.10506297,0.0032118221,0.0014325553,0.2142114],"study_design_scores_gemma":[0.0000051996917,0.000034693334,0.00045624436,0.000006112873,0.000008341836,0.000026605609,0.000010922668,0.979845,0.01816079,0.0005770131,0.00085553527,0.000013536211],"about_ca_topic_score_codex":0.0037707624,"about_ca_topic_score_gemma":0.005450231,"teacher_disagreement_score":0.0037707624,"about_ca_system_score_codex":0.0003108558,"about_ca_system_score_gemma":0.0006922833,"threshold_uncertainty_score":0.0074976683},"labels":[],"label_agreement":null},{"id":"W7130721225","doi":"10.1109/vppc66000.2025.11393014","title":"Early fault and state of health estimation for lithium-ion batteries using data-driven modelling","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Northern Lipids (Canada); Simon Fraser University","funders":"Mitacs","keywords":"State of health; Powertrain; Fault (geology); Battery (electricity); Estimation; Equivalent circuit; Control theory (sociology)","score_opus":0.07895923528352158,"score_gpt":0.3580058905856445,"score_spread":0.2790466553021229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7130721225","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3607155,0.0005456592,0.6327258,0.00033188736,0.000044142103,0.00009370415,0.0005311456,0.0018968218,0.0031152507],"genre_scores_gemma":[0.99094546,0.000097497934,0.008158986,0.000017915188,0.000003688869,0.00003500976,0.00016324031,0.00001556221,0.00056260393],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998766,0.000021758595,0.000010177916,0.000026414113,0.000052572133,0.000012498282],"domain_scores_gemma":[0.9995664,0.00023321249,0.000045253095,0.00003628484,0.00010948132,0.000009306107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033298912,0.00054723956,0.00039243101,0.0003822234,0.00018421037,0.0005150111,0.000539192,0.0004487898,0.00085177255],"category_scores_gemma":[0.0014743964,0.00021052685,0.00036127822,0.00022701306,0.00021891479,0.00070301874,0.0003005086,0.0004729879,0.00023102509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015442661,0.000076094744,0.004099824,0.00013822304,0.000027320793,0.00007923649,0.00007913847,0.93458295,0.011185951,0.0009917954,0.0004203822,0.048164655],"study_design_scores_gemma":[0.0000016862505,0.000015901775,0.00035861714,0.000003091213,0.0000024462188,0.000009083311,0.000004528281,0.9966792,0.0024471532,0.00036059454,0.00011437338,0.0000034944621],"about_ca_topic_score_codex":0.0057224333,"about_ca_topic_score_gemma":0.006404895,"teacher_disagreement_score":0.0057224333,"about_ca_system_score_codex":0.00055277575,"about_ca_system_score_gemma":0.00045399685,"threshold_uncertainty_score":0.011378229},"labels":[],"label_agreement":null},{"id":"W7130730304","doi":"10.1109/vppc66000.2025.11393013","title":"Integrated Electrical and Thermal Model of Li-ion Batteries for Accurate SOC, Core Temperature, and Internal Resistance Estimation","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Internal resistance; Battery (electricity); State of charge; Thermal; Core (optical fiber); Thermal resistance; State of health; Electric-vehicle battery; Power (physics); Electric vehicle","score_opus":0.023779824399631274,"score_gpt":0.30043388106588037,"score_spread":0.2766540566662491,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7130730304","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033792358,0.0010732702,0.94281673,0.00027620682,0.00012999742,0.0001397702,0.00066493993,0.0017828078,0.01932397],"genre_scores_gemma":[0.9425123,0.0013319296,0.035443954,0.00014067086,0.000054721815,0.00046267343,0.0008591477,0.00017996077,0.019014757],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975497,0.000039732924,0.000016765021,0.00006231183,0.000105673316,0.00002043443],"domain_scores_gemma":[0.9998516,0.00003067411,0.000019579042,0.000024702265,0.00006900642,0.0000044874455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001931034,0.0007481966,0.00066180655,0.0004050429,0.00029592298,0.0007735268,0.0014839867,0.00091758225,0.0029019709],"category_scores_gemma":[0.0005209861,0.0003728532,0.0008236035,0.00043900724,0.00028971967,0.0013859966,0.00046174755,0.0006670744,0.001129846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007558224,0.00005309726,0.0010636217,0.00017045705,0.00003962068,0.00015183626,0.00007952742,0.94788194,0.01739961,0.004224898,0.0017137302,0.0271462],"study_design_scores_gemma":[0.000004071899,0.00002332828,0.0002231255,0.000006853264,0.000012889048,0.000033787943,0.000006282339,0.9958733,0.0018437619,0.0005601821,0.0014058991,0.000006584111],"about_ca_topic_score_codex":0.0039610695,"about_ca_topic_score_gemma":0.004386464,"teacher_disagreement_score":0.0039610695,"about_ca_system_score_codex":0.00051470165,"about_ca_system_score_gemma":0.00065907417,"threshold_uncertainty_score":0.009708047},"labels":[],"label_agreement":null},{"id":"W7132861451","doi":"","title":"Multiscale Cell-to-vehicle Thermo-electrical Modelling, Simulation and Testing of Electric Vehicles: A Case Study for Battery Pack Temperature Estimation Models","year":2021,"lang":"","type":"dissertation","venue":"TSpace","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Battery (electricity); MATLAB; Battery pack; Mode (computer interface); Maximum temperature; Temperature measurement; Water cooling; Power (physics)","score_opus":0.0495046999906616,"score_gpt":0.3547762117360136,"score_spread":0.305271511745352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132861451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7720454,0.00030849501,0.21096316,0.0002825131,0.000056376724,0.0001287769,0.0005508747,0.0004577339,0.015206638],"genre_scores_gemma":[0.9871575,0.00012374963,0.010434149,0.00001831195,0.000004845021,0.000055062545,0.000116455514,0.000019659312,0.0020703252],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999018,0.000023500466,0.0000058675405,0.00002028825,0.000034787394,0.000013740684],"domain_scores_gemma":[0.9997265,0.00013675158,0.000025741952,0.000033171837,0.00006229574,0.000015492475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020657192,0.00034258352,0.0004041529,0.00016159756,0.00025239744,0.0006522251,0.00062255916,0.000634458,0.0014351712],"category_scores_gemma":[0.0006268489,0.00017940681,0.00050522195,0.00022449576,0.0003145732,0.00039248302,0.0004193064,0.00053348637,0.00020462666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024132396,0.000029040155,0.0012960718,0.00003055457,0.000009644636,0.00009547197,0.000042578522,0.989151,0.003604506,0.0017327314,0.0001707633,0.0038133452],"study_design_scores_gemma":[0.0000036530741,0.000035376415,0.00044055012,0.000003334343,0.00000534659,0.00001840087,0.000022869675,0.9972875,0.0013759672,0.00035974695,0.0004434616,0.0000037738114],"about_ca_topic_score_codex":0.008771892,"about_ca_topic_score_gemma":0.006717855,"teacher_disagreement_score":0.008771892,"about_ca_system_score_codex":0.00047580013,"about_ca_system_score_gemma":0.00047538237,"threshold_uncertainty_score":0.01744169},"labels":[],"label_agreement":null},{"id":"W7133005202","doi":"","title":"Battery Electric Vehicle (BEV) Fast Charging (FC) Optimization in Cold Weather","year":2024,"lang":"","type":"dissertation","venue":"TSpace","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Battery (electricity); Context (archaeology); Electric vehicle; Trickle charging; Automotive battery; Thermal; Electric-vehicle battery; Charging station","score_opus":0.012983878721416544,"score_gpt":0.30200604876047765,"score_spread":0.2890221700390611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133005202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6998603,0.0005776397,0.27114576,0.00055132346,0.0000674238,0.000096522956,0.0003347352,0.0005563823,0.026809819],"genre_scores_gemma":[0.9795402,0.00013433886,0.015957007,0.000034748697,0.0000070310366,0.00003734289,0.000107396394,0.00007065893,0.0041112043],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999187,0.000014948205,0.0000021464418,0.000013179421,0.000022790899,0.00002821002],"domain_scores_gemma":[0.9998493,0.000082233346,0.000011394231,0.0000105359795,0.000035853966,0.000010523348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024296816,0.00044774546,0.0004119402,0.00012226806,0.00026361557,0.0005543618,0.00028914624,0.0002784655,0.0014861128],"category_scores_gemma":[0.0005323947,0.00014526185,0.00028379,0.00021771998,0.00019118778,0.00036509437,0.0002626219,0.0003791443,0.00017896737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058255915,0.000022785598,0.00042717214,0.000036792946,0.0000065491854,0.000025926356,0.000018820012,0.9814824,0.0032549375,0.0012262521,0.000957809,0.012482284],"study_design_scores_gemma":[0.000007828073,0.000058522222,0.00042423652,0.0000028991979,0.0000052394157,0.000008989356,0.000036116096,0.99570376,0.0022342757,0.00081725785,0.00069759716,0.0000033311792],"about_ca_topic_score_codex":0.008232826,"about_ca_topic_score_gemma":0.007783397,"teacher_disagreement_score":0.008232826,"about_ca_system_score_codex":0.00059215154,"about_ca_system_score_gemma":0.0007369565,"threshold_uncertainty_score":0.01636982},"labels":[],"label_agreement":null},{"id":"W7133482583","doi":"10.1109/icpee65973.2025.11411057","title":"Modeling and Development of Grid Connected Battery Energy Storage System by Using MGWO","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Energy storage; Grid; Battery (electricity); Development (topology); Energy (signal processing)","score_opus":0.02210462501906367,"score_gpt":0.25854031463830374,"score_spread":0.23643568961924005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133482583","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05920984,0.0011170914,0.89615303,0.0003033928,0.000084066945,0.00018690455,0.00042218095,0.0007194925,0.041804004],"genre_scores_gemma":[0.9097023,0.0015364699,0.07197545,0.000055835244,0.000031020085,0.00029414817,0.00027296934,0.00008050027,0.016051257],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993396,0.000014609925,0.000004194389,0.000014133335,0.000026315553,0.0000067427686],"domain_scores_gemma":[0.9999697,0.000006677372,0.0000071585087,0.000003128923,0.0000109876855,0.000002410601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000101262034,0.00043539022,0.00032771518,0.00023499239,0.0002702124,0.0006083704,0.00071575685,0.00052391196,0.0023505196],"category_scores_gemma":[0.00013902268,0.00021196822,0.0005448797,0.00029491045,0.00020478516,0.00053214486,0.00031906363,0.0003214344,0.00044988995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002332695,0.000012895972,0.0006242809,0.00009953965,0.000015137184,0.00022346625,0.000053394186,0.9729172,0.007112836,0.0059901513,0.00045878018,0.012468929],"study_design_scores_gemma":[0.000003819915,0.000023429204,0.00017663406,0.0000081296,0.0000059417494,0.000043018626,0.000011558986,0.9958853,0.0010174442,0.0011120496,0.001708751,0.0000038768158],"about_ca_topic_score_codex":0.004600855,"about_ca_topic_score_gemma":0.0035628001,"teacher_disagreement_score":0.004600855,"about_ca_system_score_codex":0.0002947106,"about_ca_system_score_gemma":0.00045328462,"threshold_uncertainty_score":0.009148121},"labels":[],"label_agreement":null},{"id":"W7133484704","doi":"10.1109/icpee65973.2025.11411324","title":"Intelligent Energy Management System of Grid Connected Battery Bank with Hippopotamus Optimization","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Battery (electricity); Energy management; Hippopotamus; Grid; Energy (signal processing); Management system","score_opus":0.008605208320070227,"score_gpt":0.22868033959571127,"score_spread":0.22007513127564104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133484704","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19590195,0.0009970162,0.7492681,0.00069693907,0.00021724936,0.00031629496,0.0004008426,0.0049534123,0.047248207],"genre_scores_gemma":[0.97861665,0.00014458282,0.017162327,0.00006746335,0.000025647478,0.00011968096,0.00013007387,0.00003467391,0.0036988698],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998944,0.000015301443,0.00000795646,0.000030696116,0.0000346534,0.0000168849],"domain_scores_gemma":[0.99992967,0.000009726245,0.00001645243,0.0000062190943,0.000029554869,0.000008322528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016816812,0.00047115667,0.0004644374,0.00029249533,0.0005694228,0.00081318914,0.00062032946,0.00035998228,0.0028135465],"category_scores_gemma":[0.00021144601,0.0001890931,0.00027733546,0.00029201162,0.00021708816,0.00042057922,0.00045752694,0.0002729706,0.0004320928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003256495,0.00018190918,0.004155371,0.00019377748,0.000115597104,0.0002998,0.00014038701,0.83205444,0.01775505,0.0049923495,0.0067516444,0.13303408],"study_design_scores_gemma":[0.000021108923,0.000052669617,0.00064340036,0.000005559729,0.000018195606,0.000026348058,0.000015053186,0.99475634,0.002175979,0.0007882508,0.0014888805,0.000008217436],"about_ca_topic_score_codex":0.005684473,"about_ca_topic_score_gemma":0.0048530563,"teacher_disagreement_score":0.005684473,"about_ca_system_score_codex":0.00045610828,"about_ca_system_score_gemma":0.0006939182,"threshold_uncertainty_score":0.011302769},"labels":[],"label_agreement":null},{"id":"W7133517376","doi":"10.1109/etfg61999.2025.11401121","title":"A Decentralised Privacy-Preserving Solution for Home Battery Concurrent Charging Mitigation","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Optech (Canada)","funders":"University of Adelaide","keywords":"Battery (electricity); Power (physics); Work (physics); Measure (data warehouse); Automotive battery","score_opus":0.023560566991819378,"score_gpt":0.30445778259573264,"score_spread":0.2808972156039133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133517376","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025661334,0.00021836588,0.96907055,0.00023599905,0.00006117279,0.00008141361,0.00006194353,0.00103745,0.0035717932],"genre_scores_gemma":[0.9138366,0.00010646604,0.08204676,0.00012886962,0.000045081288,0.000075899996,0.00008700616,0.00009020089,0.0035830778],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901164,0.00021890552,0.000051136893,0.00024996983,0.00028850618,0.00017985876],"domain_scores_gemma":[0.99909675,0.00020802238,0.000090379464,0.00035453797,0.00017519029,0.00007509954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087011745,0.0004951615,0.00068785314,0.00027519278,0.000683208,0.001129365,0.0019230153,0.00067349244,0.0022465717],"category_scores_gemma":[0.001745551,0.0002915543,0.00046078817,0.00040641442,0.00066485145,0.0017102046,0.002350475,0.0010465557,0.0005402484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073491986,0.00037906342,0.0021100796,0.0003100959,0.00017000461,0.0006531658,0.0007190404,0.5312939,0.06540034,0.055574898,0.010574713,0.33207977],"study_design_scores_gemma":[0.000034681354,0.00011674411,0.0004322421,0.000012341264,0.00002968151,0.000327156,0.00012264689,0.9655722,0.011701916,0.016441451,0.005184102,0.000024814688],"about_ca_topic_score_codex":0.0009735868,"about_ca_topic_score_gemma":0.0017007898,"teacher_disagreement_score":0.0022465717,"about_ca_system_score_codex":0.00059498614,"about_ca_system_score_gemma":0.0008814579,"threshold_uncertainty_score":0.00751549},"labels":[],"label_agreement":null},{"id":"W7135070299","doi":"10.1109/scc66964.2025.11424787","title":"Fault Diagnosis Model-Based Methods Overview of Lithium-Ion Battery in Electric Vehicles","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cégep de l'Outaouais","funders":"","keywords":"Battery (electricity); Fault (geology); Mathematical model; Electronic circuit; Equivalent circuit; Energy (signal processing); Electric energy; Estimation theory","score_opus":0.05115172850592674,"score_gpt":0.37800457529841286,"score_spread":0.3268528467924861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135070299","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010076002,0.004796757,0.98762506,0.00013517008,0.00008523103,0.000056645877,0.00010464138,0.0005222099,0.005666603],"genre_scores_gemma":[0.38815105,0.027949907,0.5530574,0.000362328,0.00071901805,0.0008380319,0.0016227338,0.0003260478,0.026973533],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997031,0.000057996698,0.000024192488,0.000065445805,0.00013345365,0.000015767415],"domain_scores_gemma":[0.9997644,0.00007883859,0.00002643118,0.000022863353,0.00010036771,0.0000071084773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033212928,0.0010655243,0.0006741166,0.0010964281,0.00029644565,0.0010281007,0.001390979,0.000792828,0.003998354],"category_scores_gemma":[0.0008529152,0.00033508264,0.0008056889,0.0008891209,0.00028926483,0.00094133435,0.00059949013,0.001047454,0.0018560879],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006953217,0.00009667775,0.0011766524,0.0010051415,0.00011134017,0.00029665223,0.0001516343,0.4746597,0.013354114,0.056140713,0.006797467,0.44614035],"study_design_scores_gemma":[0.000010242464,0.000058263457,0.0004991669,0.00011911697,0.000033884193,0.00018427937,0.000031020427,0.9509604,0.0024351953,0.021755774,0.023889868,0.000022858812],"about_ca_topic_score_codex":0.0055894875,"about_ca_topic_score_gemma":0.00306693,"teacher_disagreement_score":0.0055894875,"about_ca_system_score_codex":0.0006713133,"about_ca_system_score_gemma":0.00076992076,"threshold_uncertainty_score":0.013375878},"labels":[],"label_agreement":null},{"id":"W7135080141","doi":"10.1109/scc66964.2025.11424676","title":"Deep Learning-Based Estimation of Li-Ion Battery State of Charge: Comparative Analysis of CNN, LSTM, and GRU Approaches","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cégep de l'Outaouais","funders":"","keywords":"Robustness (evolution); Battery (electricity); State of charge; Artificial neural network; Convolutional neural network; Software deployment; Recurrent neural network","score_opus":0.037649918105336,"score_gpt":0.3004676468714741,"score_spread":0.26281772876613807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7135080141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65722793,0.018048331,0.3025786,0.0013018169,0.0002701857,0.00008995353,0.0008470891,0.0036725334,0.015963541],"genre_scores_gemma":[0.97448605,0.0021056153,0.020791808,0.00010954318,0.000036077683,0.00002933095,0.0006032818,0.000046510188,0.001791718],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997818,0.00004517177,0.000015846019,0.00004598247,0.00007075073,0.000040371106],"domain_scores_gemma":[0.9994665,0.00025708656,0.00005446632,0.000039472638,0.0001631104,0.000019400795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096202415,0.0010234695,0.0005862349,0.0006746362,0.00015902818,0.00060021307,0.0010223181,0.0007132167,0.0006909477],"category_scores_gemma":[0.002345124,0.0002274481,0.00039419005,0.0006093764,0.00020936063,0.0011832842,0.0004061948,0.00048879295,0.0002605183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004014882,0.00013525935,0.011596776,0.00033681706,0.00027023186,0.00012127462,0.00006289533,0.67298704,0.006552722,0.0021768303,0.002213051,0.3031456],"study_design_scores_gemma":[0.000003430859,0.000039615134,0.0013434791,0.000013914552,0.00002393743,0.000015678472,0.000012996496,0.99554574,0.0023655663,0.00033519955,0.0002940954,0.0000063453404],"about_ca_topic_score_codex":0.01896866,"about_ca_topic_score_gemma":0.015777932,"teacher_disagreement_score":0.01896866,"about_ca_system_score_codex":0.0008137612,"about_ca_system_score_gemma":0.0007168432,"threshold_uncertainty_score":0.037716508},"labels":[],"label_agreement":null},{"id":"W7140338516","doi":"10.1109/fmlds67896.2025.00125","title":"Battery State of Charge Estimation by Machine Learning","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"State (computer science); Battery (electricity); Charge (physics); State of charge; Control theory (sociology); Noise (video)","score_opus":0.00877163782142499,"score_gpt":0.2713120130097331,"score_spread":0.26254037518830814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7140338516","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47477427,0.0018571812,0.5100768,0.00027772394,0.00009953652,0.00007696187,0.0013904552,0.0051298523,0.006317189],"genre_scores_gemma":[0.9790785,0.00022721999,0.019210843,0.000026548867,0.000014614101,0.00002690558,0.0005219801,0.000022949607,0.0008705682],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984205,0.00003111072,0.000010534376,0.00004504294,0.00005278221,0.000018536286],"domain_scores_gemma":[0.9996525,0.00014328305,0.000054589418,0.000037476737,0.00010714869,0.000004964447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034247444,0.0005593901,0.000410168,0.00051441864,0.0001204115,0.00044244996,0.00046158404,0.000376693,0.0008305669],"category_scores_gemma":[0.001504263,0.00014459204,0.00035924482,0.0006213721,0.00010672858,0.00062428165,0.00017043734,0.00030336186,0.0004648026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017608116,0.000077140656,0.014004044,0.00014057143,0.000116706186,0.00008237291,0.00003290424,0.73241365,0.013888378,0.0005514559,0.0015953603,0.23692137],"study_design_scores_gemma":[0.0000023609002,0.00002285453,0.0026738057,0.0000069103776,0.000007862121,0.000020801846,0.000008363472,0.9920289,0.0045427657,0.00032401728,0.00035490305,0.000006469154],"about_ca_topic_score_codex":0.0074589876,"about_ca_topic_score_gemma":0.009407696,"teacher_disagreement_score":0.0074589876,"about_ca_system_score_codex":0.0004818132,"about_ca_system_score_gemma":0.0003413834,"threshold_uncertainty_score":0.014831126},"labels":[],"label_agreement":null},{"id":"W7152489448","doi":"10.1109/icecet63943.2025.11472310","title":"Battery State of Health Classification Based on Dynamic Time Warping and Fine Tree","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Fonds de recherche du Québec","keywords":"State (computer science); Dynamic time warping; Tree (set theory); Battery (electricity); Pattern recognition (psychology)","score_opus":0.017584501440422298,"score_gpt":0.29867892514572736,"score_spread":0.2810944237053051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7152489448","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23534839,0.0004915861,0.76049644,0.00018389353,0.00008274057,0.00011719222,0.0002829294,0.00082232745,0.0021745386],"genre_scores_gemma":[0.9239535,0.00021511751,0.074070685,0.00004937022,0.000034518234,0.00008294658,0.0004338249,0.000029650691,0.0011304562],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960774,0.00005870122,0.000039387698,0.000116759235,0.00011141903,0.000065941735],"domain_scores_gemma":[0.9992155,0.00030805747,0.0001242716,0.00008293034,0.00023015213,0.000039152153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083752436,0.0006547481,0.00076611317,0.0017115476,0.00033448197,0.0007658128,0.00050848577,0.0006483312,0.000668494],"category_scores_gemma":[0.002653342,0.00015449767,0.00063379196,0.00092829374,0.00028108782,0.0010323741,0.00049404136,0.00060672767,0.0004212148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038061076,0.0002488333,0.019220272,0.00010414486,0.00011259789,0.0003501029,0.00023048108,0.24008112,0.020531677,0.0027819187,0.0025483493,0.71340984],"study_design_scores_gemma":[0.0000024952606,0.000074484175,0.0034776183,0.000007791203,0.000012256992,0.00009199883,0.00003005076,0.9915964,0.0028911072,0.001429004,0.00037252277,0.000014284153],"about_ca_topic_score_codex":0.0019306027,"about_ca_topic_score_gemma":0.001954863,"teacher_disagreement_score":0.0019306027,"about_ca_system_score_codex":0.00030344777,"about_ca_system_score_gemma":0.00034623794,"threshold_uncertainty_score":0.0044292808},"labels":[],"label_agreement":null},{"id":"W7152576692","doi":"10.1109/icecet63943.2025.11472070","title":"Battery state of health estimation based on dynamic time warping","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Fonds de recherche du Québec","keywords":"State (computer science); Control theory (sociology); Battery (electricity); Estimation; Dynamic time warping; Noise (video)","score_opus":0.010262177783821208,"score_gpt":0.3037739908052699,"score_spread":0.2935118130214487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7152576692","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10412309,0.0007216684,0.8904293,0.00019396895,0.00016453785,0.000044385728,0.0003831275,0.0006005713,0.0033394217],"genre_scores_gemma":[0.9317713,0.0006189782,0.06373735,0.00007438964,0.00009869473,0.000056046316,0.00068200554,0.00006470188,0.002896487],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980336,0.000028485802,0.000013140579,0.000068497386,0.00005816426,0.000028345536],"domain_scores_gemma":[0.9996712,0.00014666813,0.00004050477,0.000042709653,0.00008436237,0.000014525795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026071686,0.000595974,0.00053274044,0.0006266906,0.0001713567,0.0005403336,0.00035379644,0.0003836312,0.0013865095],"category_scores_gemma":[0.0016262053,0.00020794693,0.00035703718,0.00078559516,0.00020663397,0.0009564274,0.00046708062,0.00063926884,0.0007205122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060156226,0.000100397185,0.0074445456,0.00018887034,0.00014684371,0.0004717856,0.00014917183,0.35064387,0.031056112,0.0040429113,0.0035477907,0.6016062],"study_design_scores_gemma":[0.0000040901023,0.00005365886,0.002771094,0.000010892595,0.000018678365,0.00019086468,0.000028946066,0.987513,0.00617497,0.0022326985,0.0009844948,0.000016634334],"about_ca_topic_score_codex":0.0014324064,"about_ca_topic_score_gemma":0.0013124782,"teacher_disagreement_score":0.0014324064,"about_ca_system_score_codex":0.0001499496,"about_ca_system_score_gemma":0.0002794951,"threshold_uncertainty_score":0.004638374},"labels":[],"label_agreement":null},{"id":"W7154627468","doi":"10.29363/nanoge.matsusspring.2026.157","title":"A Self-Driving Laboratory Framework for Aqueous Battery Interphases","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Aqueous solution; Battery (electricity); Electrode; Work (physics)","score_opus":0.011038734229122472,"score_gpt":0.3078340188957216,"score_spread":0.2967952846665991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7154627468","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2306791,0.0016197402,0.72788537,0.0011601833,0.00077430566,0.0012785941,0.0011849459,0.008054109,0.027363673],"genre_scores_gemma":[0.70499593,0.0012845799,0.27723518,0.0004010367,0.00017130753,0.0017119265,0.0010112597,0.000565735,0.012622996],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99951017,0.00005270655,0.00002244855,0.00010126912,0.0002468146,0.000066749555],"domain_scores_gemma":[0.9996124,0.000066054454,0.00003676179,0.00010221829,0.00009049002,0.000092172144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052949414,0.0005327965,0.00060599943,0.00034881287,0.0008198215,0.0008916419,0.002537372,0.0007760729,0.0047583105],"category_scores_gemma":[0.0006597338,0.0003852502,0.0003525322,0.0001836665,0.00077568553,0.0013090844,0.001894484,0.0014268945,0.0024922749],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015011066,0.00035701753,0.0003398615,0.0002500467,0.000015346735,0.00024009951,0.00011013135,0.0035922024,0.94384784,0.028770354,0.0020856627,0.020241434],"study_design_scores_gemma":[0.00010165154,0.0007991107,0.0003863388,0.000041557796,0.000018842293,0.00036012178,0.00010800943,0.06157253,0.8759294,0.008990155,0.05161219,0.0000802091],"about_ca_topic_score_codex":0.0006146392,"about_ca_topic_score_gemma":0.0011443938,"teacher_disagreement_score":0.0047583105,"about_ca_system_score_codex":0.0005271776,"about_ca_system_score_gemma":0.0008191749,"threshold_uncertainty_score":0.015918076},"labels":[],"label_agreement":null},{"id":"W7155523687","doi":"10.14447/jnmes/vol28i2.a13","title":"Efficient Artificial Neural Network for Predicting Power and Range in Fuel Cell Electric Vehicles, pp. 231-247","year":2025,"lang":"","type":"article","venue":"Journal of New Materials for Electrochemical Systems","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Range (aeronautics); Fuel cells; Power (physics); Electric power","score_opus":0.012172152664525862,"score_gpt":0.2595369170745852,"score_spread":0.24736476441005933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7155523687","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09771098,0.0164518,0.8722709,0.0015564484,0.0009175513,0.00010466111,0.00032810334,0.0012796447,0.009379959],"genre_scores_gemma":[0.8801177,0.0055490797,0.09939088,0.00026522306,0.00032964253,0.00018732218,0.00072769006,0.000115939,0.013316446],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998803,0.000029111214,0.000011479134,0.00003241251,0.000031083855,0.000015565565],"domain_scores_gemma":[0.99973327,0.00016058174,0.000020735952,0.000009079364,0.000069004054,0.000007367749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056756585,0.0006951248,0.00053329946,0.00034267153,0.00022001755,0.0006356721,0.00060030975,0.0006157602,0.0013289454],"category_scores_gemma":[0.0012943533,0.00033594645,0.0003689493,0.00053562864,0.00023446242,0.00054080586,0.0003219429,0.0009955391,0.00033133358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007114515,0.00005786101,0.00082658057,0.000049830956,0.000047432222,0.000054873883,0.000017778502,0.8811031,0.0010509695,0.0014727096,0.002157557,0.11309015],"study_design_scores_gemma":[7.6720096e-7,0.000005147981,0.00008907278,0.0000024654487,0.0000029805428,0.0000017960913,0.0000014123802,0.9994087,0.00010961794,0.00023945134,0.00013751071,0.0000011547514],"about_ca_topic_score_codex":0.017227625,"about_ca_topic_score_gemma":0.011621119,"teacher_disagreement_score":0.017227625,"about_ca_system_score_codex":0.0005510771,"about_ca_system_score_gemma":0.0005179511,"threshold_uncertainty_score":0.03425467},"labels":[],"label_agreement":null},{"id":"W7160281616","doi":"10.1109/stpec66316.2025.11490985","title":"Digital Twin-Based Thermo-Electric Modeling and Analysis of Lithium-Ion Battery Packs for E-Mobility Applications","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Camosun College","funders":"","keywords":"Battery pack; Battery (electricity); Work (physics); Thermal; Hot spot (computer programming); Temperature measurement","score_opus":0.015883961044494216,"score_gpt":0.29065049682076965,"score_spread":0.2747665357762754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7160281616","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1314319,0.0010131546,0.8334004,0.00034962434,0.0001895934,0.0000970185,0.00054254936,0.0009324894,0.032043196],"genre_scores_gemma":[0.9500718,0.00089126534,0.036973875,0.0000669719,0.000030498426,0.0001504539,0.0003719617,0.0001471991,0.011295941],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998821,0.00001989355,0.0000064612814,0.00001559534,0.00006157239,0.0000143463985],"domain_scores_gemma":[0.99989617,0.000025440448,0.000012774473,0.00001486825,0.00004104312,0.000009713462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001774048,0.0005364702,0.00045763337,0.0004738139,0.00032212006,0.00087169785,0.0007901479,0.0006725787,0.0022177545],"category_scores_gemma":[0.00046965675,0.0002903075,0.0010115443,0.00044439922,0.0004123908,0.0007640746,0.0005653498,0.00039022553,0.00041078293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019040275,0.000011254245,0.00065374444,0.000041348412,0.00001301021,0.00007894309,0.000043816883,0.98443145,0.0041422276,0.004247419,0.0003671403,0.005950598],"study_design_scores_gemma":[0.0000014429755,0.0000068501013,0.00012211433,0.0000030574636,0.000003953698,0.00001600193,0.000009007053,0.99775356,0.0005467934,0.0004580819,0.0010757019,0.0000035197768],"about_ca_topic_score_codex":0.007895196,"about_ca_topic_score_gemma":0.0042186216,"teacher_disagreement_score":0.007895196,"about_ca_system_score_codex":0.00062807725,"about_ca_system_score_gemma":0.00075453473,"threshold_uncertainty_score":0.015698493},"labels":[],"label_agreement":null},{"id":"W7161005278","doi":"10.63125/ycc3n924","title":"Predictive Modeling and Failure Forecasting For AI-Controlled Electrical Systems in Robotics and Autonomous Vehicles","year":2024,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Oralys (Canada)","funders":"","keywords":"Anomaly detection; Reliability (semiconductor); Predictive maintenance; Robotics; Fault detection and isolation; Predictive analytics; Support vector machine; Predictive modelling; Analytics; Enhanced Data Rates for GSM Evolution","score_opus":0.0233449815611943,"score_gpt":0.26650478833682933,"score_spread":0.24315980677563503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161005278","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15584683,0.001346227,0.83662957,0.0006952103,0.00012443126,0.000042703512,0.00023288539,0.0011038102,0.00397828],"genre_scores_gemma":[0.9864633,0.00041228216,0.0119466875,0.00004950796,0.000034658045,0.000028453764,0.0001520535,0.000020794894,0.00089223176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997751,0.000042299274,0.000012386134,0.00005492371,0.00008423237,0.00003107694],"domain_scores_gemma":[0.9993905,0.00033454335,0.00008244392,0.000041810483,0.00013150036,0.000019178175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058839255,0.00062363286,0.0005625678,0.0005587677,0.0002825915,0.00070061465,0.00076289853,0.0005865792,0.0006105105],"category_scores_gemma":[0.0019341359,0.00025767085,0.00047723614,0.00057887053,0.00033352702,0.000757346,0.0004189702,0.0010952887,0.00016083449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023764826,0.000014013961,0.00086017785,0.000023054712,0.000014786231,0.000032274915,0.000021847633,0.98040456,0.0007000219,0.0015030156,0.00030804475,0.016094534],"study_design_scores_gemma":[4.795657e-7,0.0000032990495,0.00013126453,0.0000014777298,0.0000015259589,0.000002773099,0.0000024799413,0.99906546,0.0001117648,0.0006061519,0.00007193431,0.0000013392513],"about_ca_topic_score_codex":0.020712774,"about_ca_topic_score_gemma":0.01106551,"teacher_disagreement_score":0.020712774,"about_ca_system_score_codex":0.00066920696,"about_ca_system_score_gemma":0.0006641684,"threshold_uncertainty_score":0.041184425},"labels":[],"label_agreement":null},{"id":"W7161813219","doi":"10.1109/pesgre65581.2025.11521250","title":"A Comprehensive Review of the Battery Thermal Management Systems for Fast-Charging of Lithium-ion Batteries","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Thermal management of electronic devices and systems; Battery (electricity); Work (physics); Thermal; Energy management","score_opus":0.022879225185159068,"score_gpt":0.28658128332538885,"score_spread":0.2637020581402298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161813219","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010889518,0.9915976,0.0022747526,0.00017067659,0.00033618454,0.000027893559,0.00011347706,0.000044769877,0.004345679],"genre_scores_gemma":[0.0060368036,0.98803574,0.001973231,0.0001813688,0.00022176064,0.000038018414,0.00021935289,0.000013348877,0.0032803447],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99974555,0.000032150696,0.00004757278,0.000041822183,0.00011283572,0.000020078258],"domain_scores_gemma":[0.9997999,0.00006765577,0.000031440297,0.000008741502,0.000083457075,0.000008766465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003566531,0.00097109075,0.0008757952,0.0017433098,0.0003083566,0.00083674386,0.0007672383,0.00064465345,0.0045224796],"category_scores_gemma":[0.0004701618,0.00032762426,0.0007253022,0.0021683264,0.00015529805,0.0014550484,0.00041469405,0.0006032231,0.0018790145],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000107743705,0.00011161799,0.00030806081,0.049953043,0.00013261058,0.00024017095,0.00011236261,0.0022453167,0.014360672,0.006490491,0.028755732,0.8971822],"study_design_scores_gemma":[0.000008111714,0.00023971939,0.0010853886,0.0041806507,0.00021892492,0.00088045106,0.000075847776,0.0013116712,0.005883256,0.0014643003,0.9846044,0.000047359656],"about_ca_topic_score_codex":0.0009356533,"about_ca_topic_score_gemma":0.0013702484,"teacher_disagreement_score":0.0045224796,"about_ca_system_score_codex":0.00035065814,"about_ca_system_score_gemma":0.00072295865,"threshold_uncertainty_score":0.015129149},"labels":[],"label_agreement":null},{"id":"W758090853","doi":"","title":"Analysis Of Trends In Energy Demand For Main Propulsion, Electric Power And Auxiliary Boilers Capacity Of General Cargo And Container Ships","year":2009,"lang":"en","type":"article","venue":"Journal of Polish CIMAC/Journal of Polish CIMEEAC","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tellabs (Canada)","funders":"","keywords":"Container (type theory); Propulsion; Power demand; Automotive engineering; Marine engineering; Environmental science; Electric power; Engineering; Electrically powered spacecraft propulsion; Power (physics); Aerospace engineering; Mechanical engineering","score_opus":0.011235540764245155,"score_gpt":0.2647501133616583,"score_spread":0.25351457259741317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W758090853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99275804,0.00010560004,0.00016335577,0.000048858048,0.0000028137297,0.0000031264362,0.0056710043,0.00001667793,0.0012305959],"genre_scores_gemma":[0.99229664,0.00011645859,0.00014881395,0.000010770859,0.000005697624,0.0000069075113,0.0061069895,0.0000075778703,0.0013000969],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985135,0.000010394482,0.000019409932,0.000045382745,0.00003316829,0.000040264476],"domain_scores_gemma":[0.9992286,0.00023011213,0.00018745576,0.00003167283,0.00023152732,0.00009059229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001694466,0.0001520816,0.00017937193,0.0015861478,0.00015943858,0.0004492287,0.00027715677,0.00030126335,0.0030555078],"category_scores_gemma":[0.0005953923,0.00017657047,0.00045548522,0.0022177715,0.00013158548,0.00051591586,0.00023493636,0.0002663265,0.0008235525],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006517862,0.000053017266,0.97540855,0.00009976914,0.00012906494,0.00028954577,0.00048654442,0.002789405,0.006394231,0.00062668906,0.0014144505,0.011657155],"study_design_scores_gemma":[0.0000021843787,0.000037460624,0.9957581,0.000005860671,0.000017917566,0.00014873287,0.00034210755,0.0018133036,0.0006044608,0.000055793495,0.0012083763,0.0000055845635],"about_ca_topic_score_codex":0.011199217,"about_ca_topic_score_gemma":0.011683188,"teacher_disagreement_score":0.011199217,"about_ca_system_score_codex":0.0004451743,"about_ca_system_score_gemma":0.000270834,"threshold_uncertainty_score":0.022268057},"labels":[],"label_agreement":null},{"id":"W993929392","doi":"10.1016/j.energy.2015.07.022","title":"Residual lifetime prediction for lithium-ion battery based on functional principal component analysis and Bayesian approach","year":2015,"lang":"en","type":"article","venue":"Energy","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Residual; Prognostics; Principal component analysis; Battery (electricity); Computer science; Bayes' theorem; Bayesian probability; Nonparametric statistics; Lithium-ion battery; Reliability engineering; Artificial intelligence; Engineering; Data mining; Statistics; Algorithm; Mathematics","score_opus":0.02454457861263082,"score_gpt":0.23816079249685582,"score_spread":0.213616213884225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W993929392","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17318289,0.00093402126,0.82330865,0.00019321982,0.000049201393,0.000028105098,0.00023015859,0.00081616634,0.0012575075],"genre_scores_gemma":[0.95744246,0.00042128607,0.039493352,0.00003196343,0.000035079593,0.000040209863,0.0005212257,0.000057823236,0.0019566144],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998147,0.00003916002,0.000013120692,0.000047641995,0.000057100155,0.000028311006],"domain_scores_gemma":[0.9995241,0.00020044818,0.000044485347,0.000025795887,0.0001918417,0.000013390187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005674847,0.00058484805,0.0005408007,0.000609666,0.0002887391,0.00050417637,0.0006336174,0.00052116043,0.0008562673],"category_scores_gemma":[0.001771818,0.00023193572,0.0005741743,0.00043119313,0.00020162281,0.00089791155,0.0002851765,0.0005195851,0.0003107521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047288922,0.00015112573,0.0093129575,0.00017573644,0.00010097673,0.00010416548,0.000088259534,0.74151236,0.011169497,0.0032748412,0.0021661092,0.23147097],"study_design_scores_gemma":[0.0000021693506,0.000012154613,0.0010125687,0.0000022547028,0.000008321135,0.000009085665,0.000004386762,0.9977659,0.00058881287,0.00051122706,0.00007722219,0.000005854259],"about_ca_topic_score_codex":0.008984593,"about_ca_topic_score_gemma":0.0073630824,"teacher_disagreement_score":0.008984593,"about_ca_system_score_codex":0.00030866396,"about_ca_system_score_gemma":0.00056047324,"threshold_uncertainty_score":0.017864585},"labels":[],"label_agreement":null}]}